examples/remove_crossswath_bias.ipynb

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    "# Tutorial: Removing Cross-Swath Bias in `ssha_karin_2`\n",
    "\n",
    "---\n",
    "**Author**: Jinbo Wang   \n",
    "**Date**: 9/7/2023  \n",
    "**Revison History**\n",
    "\n",
    "* 5/29/2024: add direct s3 access and earthaccess\n",
    "\n",
    "---\n",
    "⚠️ **Disclaimer: Preliminary** ⚠️\n",
    "\n",
    "_This project is currently in the process of reprocessing the data. The SWOT data should not be used for scientific analyses. The code provided here is aimed at demonstrating basic techniques for data access, processing, and visualization._\n",
    "\n",
    "### Prerequisites\n",
    "Before proceeding with this tutorial, you'll need to download the SWOT KaRIn Expert product. This code is explicit on visualization. Major analysis is done by the routine `swot_ssh_utils.fit_bias`. "
   ]
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   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pylab as plt\n",
    "import numpy as np\n",
    "import sys\n",
    "sys.path.append('../src/') # this is the directiory where swot_ssh_utils.py is located. \n",
    "import swot_ssh_utils as swot\n",
    "from cartopy import crs as ccrs\n",
    "from glob import glob\n",
    "import earthaccess \n",
    "import xarray as xr\n",
    "#uncomment the following line to install earthaccess if it is not yet installed\n",
    "# !pip install earthaccess\n",
    "\n",
    "def load_and_plot_ssha_data(data):\n",
    "    \"\"\"\n",
    "    data is a swot.SSH_L2 instance with Expert input\n",
    "    \n",
    "    Returns:\n",
    "    None\n",
    "    \"\"\"\n",
    "\n",
    "    # Preprocess data\n",
    "    ssha = data.Expert.ssha_karin_2\n",
    "    flag = data.Expert.ancillary_surface_classification_flag\n",
    "    ssha = np.where(flag == 0, ssha, np.nan)\n",
    "    lon = data.Expert.longitude.values\n",
    "    lat = data.Expert.latitude.values\n",
    "    distance = data.Expert.cross_track_distance.values\n",
    "    \n",
    "    # Create plots\n",
    "    fig, ax = plt.subplots(\n",
    "        figsize=(8, 6),\n",
    "        ncols=2,\n",
    "        nrows=1,\n",
    "        sharex=True,\n",
    "        sharey=True,\n",
    "        subplot_kw=dict(projection=ccrs.PlateCarree())\n",
    "    )\n",
    "    \n",
    "    # Plot original data\n",
    "    swot.plot_a_segment(ax[0], lon, lat, ssha, title='SSHA_KaRIn_2 original', vmin=-5, vmax=5)\n",
    "    \n",
    "    # Bias correction (optional)\n",
    "    ssha_1 = swot.fit_bias(\n",
    "        ssha, distance,\n",
    "        check_bad_point_threshold=0.1,\n",
    "        remove_along_track_polynomial=True\n",
    "    )\n",
    "    \n",
    "    # mask out data in nadir and outside of 60km swath width\n",
    "    distance = np.nanmean(distance, axis=0 )\n",
    "    msk = (np.abs(distance) < 60e3) & (np.abs(distance) > 10e3)\n",
    "    lon[:, ~msk] = np.nan\n",
    "    lat[:, ~msk] = np.nan\n",
    "    ssha_1[:, ~msk] = np.nan\n",
    "\n",
    "    # Plot bias corrected data\n",
    "    swot.plot_a_segment(ax[1], lon, lat, ssha_1, title='SSHA_KaRIn_2 bias corrected', vmin=-0.2, vmax=0.2)\n",
    "    \n",
    "    # Save and display plot\n",
    "    plt.tight_layout()\n",
    "    #plt.savefig('../media/figures/ssha_karin_2_california.png', dpi=100)"
   ]
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Use earthaccess to find data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Granules found: 9\n",
      "Show links for direct download. Clicking on the link will download the file to your local computer\n",
      " ------------------------------\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['https://archive.swot.podaac.earthdata.nasa.gov/podaac-swot-ops-cumulus-protected/SWOT_L2_LR_SSH_2.0/SWOT_L2_LR_SSH_Expert_007_013_20231123T202137_20231123T211305_PIC0_01.nc',\n",
       " 'https://archive.swot.podaac.earthdata.nasa.gov/podaac-swot-ops-cumulus-protected/SWOT_L2_LR_SSH_2.0/SWOT_L2_LR_SSH_Expert_008_013_20231214T170641_20231214T175809_PIC0_01.nc',\n",
       " 'https://archive.swot.podaac.earthdata.nasa.gov/podaac-swot-ops-cumulus-protected/SWOT_L2_LR_SSH_2.0/SWOT_L2_LR_SSH_Expert_009_013_20240104T135148_20240104T144316_PIC0_01.nc',\n",
       " 'https://archive.swot.podaac.earthdata.nasa.gov/podaac-swot-ops-cumulus-protected/SWOT_L2_LR_SSH_2.0/SWOT_L2_LR_SSH_Expert_010_013_20240125T103653_20240125T112821_PIC0_01.nc',\n",
       " 'https://archive.swot.podaac.earthdata.nasa.gov/podaac-swot-ops-cumulus-protected/SWOT_L2_LR_SSH_2.0/SWOT_L2_LR_SSH_Expert_011_013_20240215T072158_20240215T081326_PIC0_01.nc',\n",
       " 'https://archive.swot.podaac.earthdata.nasa.gov/podaac-swot-ops-cumulus-protected/SWOT_L2_LR_SSH_2.0/SWOT_L2_LR_SSH_Expert_012_013_20240307T040702_20240307T045830_PIC0_01.nc',\n",
       " 'https://archive.swot.podaac.earthdata.nasa.gov/podaac-swot-ops-cumulus-protected/SWOT_L2_LR_SSH_2.0/SWOT_L2_LR_SSH_Expert_013_013_20240328T005206_20240328T014334_PIC0_01.nc',\n",
       " 'https://archive.swot.podaac.earthdata.nasa.gov/podaac-swot-ops-cumulus-protected/SWOT_L2_LR_SSH_2.0/SWOT_L2_LR_SSH_Expert_014_013_20240417T213712_20240417T222840_PIC0_01.nc',\n",
       " 'https://archive.swot.podaac.earthdata.nasa.gov/podaac-swot-ops-cumulus-protected/SWOT_L2_LR_SSH_2.0/SWOT_L2_LR_SSH_Expert_015_013_20240508T182215_20240508T191343_PIC0_01.nc']"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Show links to AWS S3\n",
      " ------------------------------\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['s3://podaac-swot-ops-cumulus-protected/SWOT_L2_LR_SSH_2.0/SWOT_L2_LR_SSH_Expert_007_013_20231123T202137_20231123T211305_PIC0_01.nc',\n",
       " 's3://podaac-swot-ops-cumulus-protected/SWOT_L2_LR_SSH_2.0/SWOT_L2_LR_SSH_Expert_008_013_20231214T170641_20231214T175809_PIC0_01.nc',\n",
       " 's3://podaac-swot-ops-cumulus-protected/SWOT_L2_LR_SSH_2.0/SWOT_L2_LR_SSH_Expert_009_013_20240104T135148_20240104T144316_PIC0_01.nc',\n",
       " 's3://podaac-swot-ops-cumulus-protected/SWOT_L2_LR_SSH_2.0/SWOT_L2_LR_SSH_Expert_010_013_20240125T103653_20240125T112821_PIC0_01.nc',\n",
       " 's3://podaac-swot-ops-cumulus-protected/SWOT_L2_LR_SSH_2.0/SWOT_L2_LR_SSH_Expert_011_013_20240215T072158_20240215T081326_PIC0_01.nc',\n",
       " 's3://podaac-swot-ops-cumulus-protected/SWOT_L2_LR_SSH_2.0/SWOT_L2_LR_SSH_Expert_012_013_20240307T040702_20240307T045830_PIC0_01.nc',\n",
       " 's3://podaac-swot-ops-cumulus-protected/SWOT_L2_LR_SSH_2.0/SWOT_L2_LR_SSH_Expert_013_013_20240328T005206_20240328T014334_PIC0_01.nc',\n",
       " 's3://podaac-swot-ops-cumulus-protected/SWOT_L2_LR_SSH_2.0/SWOT_L2_LR_SSH_Expert_014_013_20240417T213712_20240417T222840_PIC0_01.nc',\n",
       " 's3://podaac-swot-ops-cumulus-protected/SWOT_L2_LR_SSH_2.0/SWOT_L2_LR_SSH_Expert_015_013_20240508T182215_20240508T191343_PIC0_01.nc']"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "auth = earthaccess.login()\n",
    "ssh_results = earthaccess.search_data(short_name = 'SWOT_L2_LR_SSH_Expert_2.0', \n",
    "                                      #temporal = (\"2023-04-23 00:00:00\", \"2023-04-24 23:59:59\"),\n",
    "                                      granule_name = '*_Expert_???_013_*') #use pass number to narrow down the search\n",
    "print('Show links for direct download. Clicking on the link will download the file to your local computer\\n',30*'-')\n",
    "display([a.data_links(access='https')[0] for a in ssh_results])\n",
    "print('Show links to AWS S3\\n',30*'-')\n",
    "display([a.data_links(access='direct')[0] for a in ssh_results])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Download and analyze"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " Getting 1 granules, approx download size: 0.03 GB\n",
      "Accessing cloud dataset using dataset endpoint credentials: https://archive.swot.podaac.earthdata.nasa.gov/s3credentials\n",
      "Downloaded: SWOT_L2_LR_SSH_Expert_007_013_20231123T202137_20231123T211305_PIC0_01.nc\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[PosixPath('SWOT_L2_LR_SSH_Expert_007_013_20231123T202137_20231123T211305_PIC0_01.nc')]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Make a folder name data_downloads\n",
    "earthaccess.download(ssh_results[0], \"./\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
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       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 400MB\n",
       "Dimensions:                                (num_lines: 9866, num_pixels: 69,\n",
       "                                            num_sides: 2)\n",
       "Coordinates:\n",
       "    latitude                               (num_lines, num_pixels) float64 5MB dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;\n",
       "    longitude                              (num_lines, num_pixels) float64 5MB dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;\n",
       "    latitude_nadir                         (num_lines) float64 79kB dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;\n",
       "    longitude_nadir                        (num_lines) float64 79kB dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;\n",
       "Dimensions without coordinates: num_lines, num_pixels, num_sides\n",
       "Data variables: (12/98)\n",
       "    time                                   (num_lines) datetime64[ns] 79kB dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;\n",
       "    time_tai                               (num_lines) datetime64[ns] 79kB dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;\n",
       "    ssh_karin                              (num_lines, num_pixels) float64 5MB dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;\n",
       "    ssh_karin_qual                         (num_lines, num_pixels) float64 5MB dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;\n",
       "    ssh_karin_uncert                       (num_lines, num_pixels) float64 5MB dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;\n",
       "    ssha_karin                             (num_lines, num_pixels) float64 5MB dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;\n",
       "    ...                                     ...\n",
       "    swh_ssb_cor_source                     (num_lines, num_pixels) float32 3MB dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;\n",
       "    swh_ssb_cor_source_2                   (num_lines, num_pixels) float32 3MB dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;\n",
       "    wind_speed_ssb_cor_source              (num_lines, num_pixels) float32 3MB dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;\n",
       "    wind_speed_ssb_cor_source_2            (num_lines, num_pixels) float32 3MB dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;\n",
       "    volumetric_correlation                 (num_lines, num_pixels) float64 5MB dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;\n",
       "    volumetric_correlation_uncert          (num_lines, num_pixels) float64 5MB dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;\n",
       "Attributes: (12/62)\n",
       "    Conventions:                                   CF-1.7\n",
       "    title:                                         Level 2 Low Rate Sea Surfa...\n",
       "    institution:                                   CNES\n",
       "    source:                                        Ka-band radar interferometer\n",
       "    history:                                       2023-11-25T21:23:38Z : Cre...\n",
       "    platform:                                      SWOT\n",
       "    ...                                            ...\n",
       "    ellipsoid_semi_major_axis:                     6378137.0\n",
       "    ellipsoid_flattening:                          0.0033528106647474805\n",
       "    good_ocean_data_percent:                       65.76645448005515\n",
       "    ssha_variance:                                 0.11614050683132866\n",
       "    references:                                    V1.2.1\n",
       "    equator_longitude:                             -155.17</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b391c6e0-f2e4-478f-9dcf-7dc4ac66a24d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b391c6e0-f2e4-478f-9dcf-7dc4ac66a24d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>num_lines</span>: 9866</li><li><span>num_pixels</span>: 69</li><li><span>num_sides</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-0d486be7-c1e4-49b6-87a1-0e5db4ebb536' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0d486be7-c1e4-49b6-87a1-0e5db4ebb536' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-ce91a8fc-0256-46bd-8a63-c20cd3ce4334' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce91a8fc-0256-46bd-8a63-c20cd3ce4334' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e09c3283-2756-4d6e-b702-8ce203837508' class='xr-var-data-in' type='checkbox'><label for='data-e09c3283-2756-4d6e-b702-8ce203837508' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude (positive N, negative S)</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_min :</span></dt><dd>-80000000</dd><dt><span>valid_max :</span></dt><dd>80000000</dd><dt><span>comment :</span></dt><dd>Latitude of measurement [-80,80]. Positive latitude is North latitude, negative latitude is South latitude.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"120\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 25.412616514582485,0.0 25.412616514582485,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"12.706308\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >69</text>\n",
       "  <text x=\"45.412617\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,45.412617,60.000000)\">9866</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-f7be8248-5203-4a87-b887-f00faeb66b20' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7be8248-5203-4a87-b887-f00faeb66b20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83bf2e58-f127-42b8-8beb-b1f8538e9cbe' class='xr-var-data-in' type='checkbox'><label for='data-83bf2e58-f127-42b8-8beb-b1f8538e9cbe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude (degrees East)</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>359999999</dd><dt><span>comment :</span></dt><dd>Longitude of measurement. East longitude relative to Greenwich meridian.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"120\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 25.412616514582485,0.0 25.412616514582485,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"12.706308\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >69</text>\n",
       "  <text x=\"45.412617\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,45.412617,60.000000)\">9866</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude_nadir</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;</div><input id='attrs-67e948e7-9aa4-4670-bd00-dd529e4ad301' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-67e948e7-9aa4-4670-bd00-dd529e4ad301' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89a6582a-34a6-4c29-b4c0-4e004065fc31' class='xr-var-data-in' type='checkbox'><label for='data-89a6582a-34a6-4c29-b4c0-4e004065fc31' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude of satellite nadir point</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>quality_flag :</span></dt><dd>orbit_qual</dd><dt><span>valid_min :</span></dt><dd>-80000000</dd><dt><span>valid_max :</span></dt><dd>80000000</dd><dt><span>comment :</span></dt><dd>Geodetic latitude [-80,80] (degrees north of equator) of the satellite nadir point.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866,) </td>\n",
       "                        <td> (9866,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >9866</text>\n",
       "  <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">1</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude_nadir</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;</div><input id='attrs-efb5b630-0053-48eb-926b-9aafaca03ef0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-efb5b630-0053-48eb-926b-9aafaca03ef0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96d07266-a807-4f85-989c-bac81c969596' class='xr-var-data-in' type='checkbox'><label for='data-96d07266-a807-4f85-989c-bac81c969596' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude of satellite nadir point</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>quality_flag :</span></dt><dd>orbit_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>359999999</dd><dt><span>comment :</span></dt><dd>Longitude (degrees east of Grenwich meridian) of the satellite nadir point.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866,) </td>\n",
       "                        <td> (9866,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-fe6317de-b55f-419e-af5d-188d1d9312b0' class='xr-section-summary-in' type='checkbox'  ><label for='section-fe6317de-b55f-419e-af5d-188d1d9312b0' class='xr-section-summary' >Data variables: <span>(98)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;</div><input id='attrs-d3611a29-207d-4802-b40f-5b432bb8af7d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3611a29-207d-4802-b40f-5b432bb8af7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-311bcf93-2572-4630-96a2-fb6a930ecb45' class='xr-var-data-in' type='checkbox'><label for='data-311bcf93-2572-4630-96a2-fb6a930ecb45' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time in UTC</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>tai_utc_difference :</span></dt><dd>37.0</dd><dt><span>leap_second :</span></dt><dd>0000-00-00T00:00:00Z</dd><dt><span>comment :</span></dt><dd>Time of measurement in seconds in the UTC time scale since 1 Jan 2000 00:00:00 UTC. [tai_utc_difference] is the difference between TAI and UTC reference time (seconds) for the first measurement of the data set. If a leap second occurs within the data set, the attribute leap_second is set to the UTC time at which the leap second occurs.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866,) </td>\n",
       "                        <td> (9866,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> datetime64[ns] numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_tai</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;</div><input id='attrs-fe206c34-5b66-4dd4-ae02-99bb8515c333' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe206c34-5b66-4dd4-ae02-99bb8515c333' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30a577a0-ca3f-46c7-bc0d-5c3a952cef75' class='xr-var-data-in' type='checkbox'><label for='data-30a577a0-ca3f-46c7-bc0d-5c3a952cef75' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time in TAI</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>tai_utc_difference :</span></dt><dd>37.0</dd><dt><span>comment :</span></dt><dd>Time of measurement in seconds in the TAI time scale since 1 Jan 2000 00:00:00 TAI. This time scale contains no leap seconds. The difference (in seconds) with time in UTC is given by the attribute [time:tai_utc_difference].</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
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       "                        <td> </td>\n",
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       "                    </tr>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                        <td> 77.08 kiB </td>\n",
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       "                    \n",
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       "                        <td> (9866,) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> datetime64[ns] numpy.ndarray </td>\n",
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       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "  <!-- Horizontal lines -->\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssh_karin</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-c175b1fc-b405-4027-8ba3-ab991a654d65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c175b1fc-b405-4027-8ba3-ab991a654d65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99922593-5f33-4956-93e4-c8579c644f2e' class='xr-var-data-in' type='checkbox'><label for='data-99922593-5f33-4956-93e4-c8579c644f2e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height</dd><dt><span>standard_name :</span></dt><dd>sea surface height above reference ellipsoid</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_qual</dd><dt><span>valid_min :</span></dt><dd>-15000000</dd><dt><span>valid_max :</span></dt><dd>150000000</dd><dt><span>comment :</span></dt><dd>Fully corrected sea surface height measured by KaRIn. The height is relative to the reference ellipsoid defined in the global attributes. This value is computed using radiometer measurements for wet troposphere effects on the KaRIn measurement (e.g., rad_wet_tropo_cor and sea_state_bias_cor).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssh_karin_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-c913b9ad-d0d3-4f5e-9a4d-22f6ac5b94c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c913b9ad-d0d3-4f5e-9a4d-22f6ac5b94c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ffc3273-c541-4430-ac64-6b0200c1d923' class='xr-var-data-in' type='checkbox'><label for='data-1ffc3273-c541-4430-ac64-6b0200c1d923' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for sea surface height from KaRIn</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_large_ssh_delta suspect_large_ssh_std suspect_large_ssh_window_std suspect_beam_used suspect_less_than_nine_beams suspect_ssb_out_of_range suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_ssb_not_computable degraded_media_delays_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_ssb_missing bad_radiometer_corr_missing bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         1          2          4          8         16         64\n",
       "        128        256        512       1024       2048       4096\n",
       "       8192      32768      65536     131072     262144     524288\n",
       "   16777216   33554432  134217728  268435456  536870912 1073741824\n",
       " 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>4212113375</dd><dt><span>comment :</span></dt><dd>Quality flag for sea surface height from KaRIn in ssh_karin variable.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssh_karin_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-ecd561cd-5753-485b-8f55-24f52dca20a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ecd561cd-5753-485b-8f55-24f52dca20a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e75b12a5-aca1-4f47-9dac-40fc4abd6a46' class='xr-var-data-in' type='checkbox'><label for='data-e75b12a5-aca1-4f47-9dac-40fc4abd6a46' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height anomaly uncertainty</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>60000</dd><dt><span>comment :</span></dt><dd>1-sigma uncertainty on the sea surface height from the KaRIn measurement.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssha_karin</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-53a66329-06fe-4ded-9a6f-f060f40c52c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53a66329-06fe-4ded-9a6f-f060f40c52c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b89a898c-336f-435b-8feb-f4762425bb57' class='xr-var-data-in' type='checkbox'><label for='data-b89a898c-336f-435b-8feb-f4762425bb57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height anomaly</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssha_karin_qual</dd><dt><span>valid_min :</span></dt><dd>-1000000</dd><dt><span>valid_max :</span></dt><dd>1000000</dd><dt><span>comment :</span></dt><dd>Sea surface height anomaly from the KaRIn measurement = ssh_karin - mean_sea_surface_cnescls - solid_earth_tide - ocean_tide_fes – internal_tide_hret - pole_tide - dac.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssha_karin_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-a7aab3bb-7596-40c9-8563-94664c811716' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7aab3bb-7596-40c9-8563-94664c811716' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26931db3-54bb-4584-8b57-eac5a13ebc1d' class='xr-var-data-in' type='checkbox'><label for='data-26931db3-54bb-4584-8b57-eac5a13ebc1d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height anomaly quality flag</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_large_ssh_delta suspect_large_ssh_std suspect_large_ssh_window_std suspect_beam_used suspect_less_than_nine_beams suspect_ssb_out_of_range suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_ssb_not_computable degraded_media_delays_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_tide_corrections_missing bad_ssb_missing bad_radiometer_corr_missing bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         1          2          4          8         16         64\n",
       "        128        256        512       1024       2048       4096\n",
       "       8192      32768      65536     131072     262144     524288\n",
       "   16777216   33554432   67108864  134217728  268435456  536870912\n",
       " 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>4279222239</dd><dt><span>comment :</span></dt><dd>Quality flag for the SSHA from KaRIn in the ssha_karin variable.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssh_karin_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-4ea9dc98-2e44-452d-a008-620c732e08b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ea9dc98-2e44-452d-a008-620c732e08b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84933274-43f6-4653-b9dc-b1d19864dd3b' class='xr-var-data-in' type='checkbox'><label for='data-84933274-43f6-4653-b9dc-b1d19864dd3b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height</dd><dt><span>standard_name :</span></dt><dd>sea surface height above reference ellipsoid</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>-15000000</dd><dt><span>valid_max :</span></dt><dd>150000000</dd><dt><span>comment :</span></dt><dd>Fully corrected sea surface height measured by KaRIn. The height is relative to the reference ellipsoid defined in the global attributes. This value is computed using model-based estimates for wet troposphere effects on the KaRIn measurement (e.g., model_wet_tropo_cor and sea_state_bias_cor_2).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssh_karin_2_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-f52dda52-2caf-4f00-96a6-a976ad5ffbeb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f52dda52-2caf-4f00-96a6-a976ad5ffbeb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77f5cb30-e447-47ba-b0b4-362eddaccb9f' class='xr-var-data-in' type='checkbox'><label for='data-77f5cb30-e447-47ba-b0b4-362eddaccb9f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for sea surface height from KaRIn</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_large_ssh_delta suspect_large_ssh_std suspect_large_ssh_window_std suspect_beam_used suspect_less_than_nine_beams suspect_ssb_out_of_range suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_ssb_not_computable degraded_media_delays_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         1          2          4          8         16         64\n",
       "        128        256        512       1024       2048       4096\n",
       "       8192      32768      65536     131072     262144     524288\n",
       "   16777216   33554432  536870912 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>3809460191</dd><dt><span>comment :</span></dt><dd>Quality flag for sea surface height from KaRIn in ssh_karin_2 variable.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssha_karin_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-bd32e498-0b65-4d6b-89f0-44cbab041045' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd32e498-0b65-4d6b-89f0-44cbab041045' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-877b4367-82c6-4659-a2f1-611546cf095b' class='xr-var-data-in' type='checkbox'><label for='data-877b4367-82c6-4659-a2f1-611546cf095b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height anomaly</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssha_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>-1000000</dd><dt><span>valid_max :</span></dt><dd>1000000</dd><dt><span>comment :</span></dt><dd>Sea surface height anomaly from the KaRIn measurement = ssh_karin_2 - mean_sea_surface_cnescls - solid_earth_tide - ocean_tide_fes – internal_tide_hret - pole_tide - dac.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
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       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "        <td>\n",
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       "  <text x=\"45.412617\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,45.412617,60.000000)\">9866</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssha_karin_2_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-cbc3416b-0796-499d-8e9e-917352abc06e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cbc3416b-0796-499d-8e9e-917352abc06e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c57fb69-ea39-4b77-b72f-a18712667dc6' class='xr-var-data-in' type='checkbox'><label for='data-3c57fb69-ea39-4b77-b72f-a18712667dc6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height anomaly quality flag</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_large_ssh_delta suspect_large_ssh_std suspect_large_ssh_window_std suspect_beam_used suspect_less_than_nine_beams suspect_ssb_out_of_range suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_ssb_not_computable degraded_media_delays_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_tide_corrections_missing bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         1          2          4          8         16         64\n",
       "        128        256        512       1024       2048       4096\n",
       "       8192      32768      65536     131072     262144     524288\n",
       "   16777216   33554432   67108864  536870912 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>3876569055</dd><dt><span>comment :</span></dt><dd>Quality flag for the SSHA from KaRIn in the ssha_karin_2 variable</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>polarization_karin</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 2), meta=np.ndarray&gt;</div><input id='attrs-542bed3b-9d4f-4ce0-8ef7-644ebe967cde' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-542bed3b-9d4f-4ce0-8ef7-644ebe967cde' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a60ea5e5-b223-4ccb-8c03-f36e21cc8598' class='xr-var-data-in' type='checkbox'><label for='data-a60ea5e5-b223-4ccb-8c03-f36e21cc8598' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>polarization for each side of the KaRIn swath</dd><dt><span>comment :</span></dt><dd>H denotes co-polarized linear horizontal, V denotes co-polarized linear vertical.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 154.16 kiB </td>\n",
       "                        <td> 154.16 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 2) </td>\n",
       "                        <td> (9866, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> object numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_karin</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-00715ea6-7f58-4d19-98ea-3216baf98a1a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00715ea6-7f58-4d19-98ea-3216baf98a1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b4d7c6c-9262-4505-bced-b5734afbf56c' class='xr-var-data-in' type='checkbox'><label for='data-0b4d7c6c-9262-4505-bced-b5734afbf56c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>significant wave height from KaRIn</dd><dt><span>standard_name :</span></dt><dd>sea_surface_wave_significant_height</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>swh_karin_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>15000</dd><dt><span>comment :</span></dt><dd>Significant wave height from KaRIn volumetric correlation.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_karin_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-845c43a8-2899-4b2a-bc6c-29d30fdde8b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-845c43a8-2899-4b2a-bc6c-29d30fdde8b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b378c40-94ba-46d3-8dee-f2e4dea3f0e2' class='xr-var-data-in' type='checkbox'><label for='data-6b378c40-94ba-46d3-8dee-f2e4dea3f0e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for significant wave height from KaRIn.</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_beam_used suspect_less_than_nine_beams suspect_rain_likely suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         8         16         32        128        256        512\n",
       "       1024       2048       4096       8192     131072     262144\n",
       "     524288   16777216   33554432  536870912 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>3809361848</dd><dt><span>comment :</span></dt><dd>Quality flag for significant wave height from KaRIn in swh_karin_qual variable.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_karin_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-8f89c9fd-d8bd-4aea-95f2-74c203cecb85' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f89c9fd-d8bd-4aea-95f2-74c203cecb85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe489e61-3054-4883-b0ab-59b05b1eb8d0' class='xr-var-data-in' type='checkbox'><label for='data-fe489e61-3054-4883-b0ab-59b05b1eb8d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>1-sigma uncertainty on significant wave height from KaRIn</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>25000</dd><dt><span>comment :</span></dt><dd>1-sigma uncertainty on significant wave height from KaRIn.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_karin</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-da269c1d-054b-407a-b10e-760f104c683b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da269c1d-054b-407a-b10e-760f104c683b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92f394ff-94b0-445d-8201-73b25a02f442' class='xr-var-data-in' type='checkbox'><label for='data-92f394ff-94b0-445d-8201-73b25a02f442' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>normalized radar cross section (sigma0) from KaRIn</dd><dt><span>standard_name :</span></dt><dd>surface_backwards_scattering_coefficient_of_radar_wave</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>quality_flag :</span></dt><dd>sig0_karin_qual</dd><dt><span>valid_min :</span></dt><dd>-1000.0</dd><dt><span>valid_max :</span></dt><dd>10000000.0</dd><dt><span>comment :</span></dt><dd>Normalized radar cross section (sigma0) from KaRIn in real, linear units (not decibels).  The value may be negative due to noise subtraction.  The value is corrected for instrument calibration and atmospheric attenuation. Radiometer measurements provide the atmospheric attenuation (sig0_cor_atmos_rad).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                        <td> 2.60 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_karin_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-89414831-81bf-4838-ad02-45521701066d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89414831-81bf-4838-ad02-45521701066d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6588051-4370-4390-bc23-b10afa369dfd' class='xr-var-data-in' type='checkbox'><label for='data-b6588051-4370-4390-bc23-b10afa369dfd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for sigma0 from KaRIn.</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_large_nrcs_delta suspect_large_nrcs_std suspect_large_nrcs_window_std suspect_beam_used suspect_less_than_nine_beams suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_media_attenuation_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_radiometer_media_attenuation_missing bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         1          2          4          8         16        128\n",
       "        256        512       1024       2048       4096       8192\n",
       "      65536     131072     262144     524288   16777216   33554432\n",
       "  268435456  536870912 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>4077862815</dd><dt><span>comment :</span></dt><dd>Quality flag for sigma0 from KaRIn in sig0_karin_qual variable.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_karin_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-8f00ff65-d3e3-44bd-9fc0-fde5d7aec431' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f00ff65-d3e3-44bd-9fc0-fde5d7aec431' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22ed37cd-aa54-4b71-a39b-98b5f0501f52' class='xr-var-data-in' type='checkbox'><label for='data-22ed37cd-aa54-4b71-a39b-98b5f0501f52' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>1-sigma uncertainty on sigma0 from KaRIn</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>valid_max :</span></dt><dd>1000.0</dd><dt><span>comment :</span></dt><dd>1-sigma uncertainty on sigma0 from KaRIn.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                        <td> 2.60 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_karin_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-5266bfd2-21b8-489f-ba74-4db96c8386e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5266bfd2-21b8-489f-ba74-4db96c8386e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64a3cd21-f0b4-4d40-bb1f-5135ec44a3b4' class='xr-var-data-in' type='checkbox'><label for='data-64a3cd21-f0b4-4d40-bb1f-5135ec44a3b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>normalized radar cross section (sigma0) from KaRIn</dd><dt><span>standard_name :</span></dt><dd>surface_backwards_scattering_coefficient_of_radar_wave</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>quality_flag :</span></dt><dd>sig0_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>-1000.0</dd><dt><span>valid_max :</span></dt><dd>10000000.0</dd><dt><span>comment :</span></dt><dd>Normalized radar cross section (sigma0) from KaRIn in real, linear units (not decibels).  The value may be negative due to noise subtraction.  The value is corrected for instrument calibration and atmospheric attenuation. A meteorological model provides the atmospheric attenuation (sig0_cor_atmos_model).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
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       "                        <td> 2.60 MiB </td>\n",
       "                        <td> 2.60 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
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       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        <td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_karin_2_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-d1bfbb5d-31b5-417e-b32b-838da101ad9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1bfbb5d-31b5-417e-b32b-838da101ad9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5dde78c-507b-4450-859f-698dc64eda27' class='xr-var-data-in' type='checkbox'><label for='data-e5dde78c-507b-4450-859f-698dc64eda27' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for sigma0 from KaRIn.</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_large_nrcs_delta suspect_large_nrcs_std suspect_large_nrcs_window_std suspect_beam_used suspect_less_than_nine_beams suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_media_attenuation_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         1          2          4          8         16        128\n",
       "        256        512       1024       2048       4096       8192\n",
       "      65536     131072     262144     524288   16777216   33554432\n",
       "  536870912 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>3809427359</dd><dt><span>comment :</span></dt><dd>Quality flag for sigma0 from KaRIn in sig0_karin_2 variable.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                    <tr>\n",
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       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_karin</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-79a8ec94-94f4-4d9f-a746-10f5696ff104' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79a8ec94-94f4-4d9f-a746-10f5696ff104' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9068dc42-0138-4d03-a286-9373f874d66b' class='xr-var-data-in' type='checkbox'><label for='data-9068dc42-0138-4d03-a286-9373f874d66b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wind speed from KaRIn</dd><dt><span>standard_name :</span></dt><dd>wind_speed</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>quality_flag :</span></dt><dd>wind_speed_karin_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>65000</dd><dt><span>comment :</span></dt><dd>Wind speed from KaRIn computed from sig0_karin.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_karin_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-1e209867-117e-4f65-8716-9ba52c0a7c54' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e209867-117e-4f65-8716-9ba52c0a7c54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-003df798-d4e8-4d63-b616-fc69ee15e4b1' class='xr-var-data-in' type='checkbox'><label for='data-003df798-d4e8-4d63-b616-fc69ee15e4b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for wind speed from KaRIn.</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_beam_used suspect_less_than_nine_beams suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_media_attenuation_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_radiometer_media_attenuation_missing bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         8         16        128        256        512       1024\n",
       "       2048       4096       8192      65536     131072     262144\n",
       "     524288   16777216   33554432  268435456  536870912 1073741824\n",
       " 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>4077862808</dd><dt><span>comment :</span></dt><dd>Quality flag for wind speed from KaRIn in wind_speed_karin variable.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                    <tr>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_karin_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-2acb9a81-c0b6-4910-b094-192bdab74afb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2acb9a81-c0b6-4910-b094-192bdab74afb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19c8efc5-c099-440d-95cd-011a5da9e8ff' class='xr-var-data-in' type='checkbox'><label for='data-19c8efc5-c099-440d-95cd-011a5da9e8ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wind speed from KaRIn</dd><dt><span>standard_name :</span></dt><dd>wind_speed</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>quality_flag :</span></dt><dd>wind_speed_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>65000</dd><dt><span>comment :</span></dt><dd>Wind speed from KaRIn computed from sig0_karin_2.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "\n",
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       "\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_karin_2_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-88218ff1-88a8-4947-9550-54be1def6e3b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88218ff1-88a8-4947-9550-54be1def6e3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15c71ac8-06e7-4955-8edb-bddf872e81c8' class='xr-var-data-in' type='checkbox'><label for='data-15c71ac8-06e7-4955-8edb-bddf872e81c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for wind speed from KaRIn.</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_beam_used suspect_less_than_nine_beams suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_media_attenuation_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         8         16        128        256        512       1024\n",
       "       2048       4096       8192      65536     131072     262144\n",
       "     524288   16777216   33554432  536870912 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>3809427352</dd><dt><span>comment :</span></dt><dd>Quality flag for wind speed from KaRIn in wind_speed_karin_2 variable.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>num_pt_avg</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-7976481e-2c66-4936-acfd-991e59c52c41' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7976481e-2c66-4936-acfd-991e59c52c41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ef60f90-a99b-4cd3-9ed5-7b810284b1b6' class='xr-var-data-in' type='checkbox'><label for='data-9ef60f90-a99b-4cd3-9ed5-7b810284b1b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of samples averaged</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>289</dd><dt><span>comment :</span></dt><dd>Number of native unsmoothed, beam-combined KaRIn samples averaged.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        <td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_wind_speed_karin_source</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-c501615d-f01b-40bd-98a7-c6f166fbcb92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c501615d-f01b-40bd-98a7-c6f166fbcb92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef202b50-2a77-4da4-8dc6-d90b848f269b' class='xr-var-data-in' type='checkbox'><label for='data-ef202b50-2a77-4da4-8dc6-d90b848f269b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>source flag for significant wave height information used to compute wind speed from KaRIn</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>nadir_altimeter karin model</dd><dt><span>flag_masks :</span></dt><dd>[1 2 4]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>7</dd><dt><span>comment :</span></dt><dd>Bit flag that indicates the source of significant wave height information that was used to compute the wind speed estimate from KaRIn data in wind_speed_karin.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_wind_speed_karin_source_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-3640e46f-55f2-46aa-af1e-f096dc609fba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3640e46f-55f2-46aa-af1e-f096dc609fba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68595df7-0d0f-4a82-9dd7-eb83b055962e' class='xr-var-data-in' type='checkbox'><label for='data-68595df7-0d0f-4a82-9dd7-eb83b055962e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>source flag for significant wave height information used to compute wind speed from KaRIn</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>nadir_altimeter karin model</dd><dt><span>flag_masks :</span></dt><dd>[1 2 4]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>7</dd><dt><span>comment :</span></dt><dd>Bit flag that indicates the source of significant wave height information that was used to compute the wind speed estimate from KaRIn data in wind_speed_karin_2.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                        <td> 2.60 MiB </td>\n",
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       "                    <tr>\n",
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       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                </tbody>\n",
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       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_nadir_altimeter</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-56b3e93d-1660-4bd7-83c3-af24373f1447' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56b3e93d-1660-4bd7-83c3-af24373f1447' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-084a8391-50ff-4350-ac8d-7518a29a8127' class='xr-var-data-in' type='checkbox'><label for='data-084a8391-50ff-4350-ac8d-7518a29a8127' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>significant wave height from nadir altimeter</dd><dt><span>standard_name :</span></dt><dd>sea_surface_wave_significant_height</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>15000</dd><dt><span>comment :</span></dt><dd>Significant wave height from nadir altimeter.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_model</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-5b2fafdc-a488-4c95-80a5-ce182224eb0e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b2fafdc-a488-4c95-80a5-ce182224eb0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2a54695-3042-45d7-94de-45b6e0fc35db' class='xr-var-data-in' type='checkbox'><label for='data-f2a54695-3042-45d7-94de-45b6e0fc35db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>significant wave height from wave model</dd><dt><span>standard_name :</span></dt><dd>sea_surface_wave_significant_height</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>15000</dd><dt><span>comment :</span></dt><dd>Significant wave height from model.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "                </tbody>\n",
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       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_direction</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-01d88e68-723f-4614-9fe9-bf186e2e6258' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01d88e68-723f-4614-9fe9-bf186e2e6258' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9afb2874-4540-4a8a-b3c3-3b70339b50d3' class='xr-var-data-in' type='checkbox'><label for='data-9afb2874-4540-4a8a-b3c3-3b70339b50d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean sea surface wave direction</dd><dt><span>source :</span></dt><dd>Meteo France Wave Model (MF-WAM)</dd><dt><span>institution :</span></dt><dd>Meteo France</dd><dt><span>units :</span></dt><dd>degree</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>36000</dd><dt><span>comment :</span></dt><dd>Mean sea surface wave direction.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_period_t02</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-8504fe87-7d04-4620-bd02-82a295c68974' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8504fe87-7d04-4620-bd02-82a295c68974' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02154837-9b8d-4419-8db6-b273df7836ea' class='xr-var-data-in' type='checkbox'><label for='data-02154837-9b8d-4419-8db6-b273df7836ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>t02 mean wave period</dd><dt><span>standard_name :</span></dt><dd>sea_surface_wind_wave_mean_period_from_variance_spectral_density_second_frequency_moment</dd><dt><span>source :</span></dt><dd>Meteo France Wave Model (MF-WAM)</dd><dt><span>institution :</span></dt><dd>Meteo France</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Sea surface wind wave mean period from model spectral density second moment.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "        <td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_model_u</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-2fd4769f-d778-4129-8651-a80c08b2a5c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2fd4769f-d778-4129-8651-a80c08b2a5c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dca1c560-68c3-49b0-a9db-a54fd97d5de8' class='xr-var-data-in' type='checkbox'><label for='data-dca1c560-68c3-49b0-a9db-a54fd97d5de8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>u component of model wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_min :</span></dt><dd>-30000</dd><dt><span>valid_max :</span></dt><dd>30000</dd><dt><span>comment :</span></dt><dd>Eastward component of the atmospheric model wind vector at 10 meters.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "        <td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_model_v</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-c0c9bbec-c02d-4d01-8a37-3c7efb2bce90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0c9bbec-c02d-4d01-8a37-3c7efb2bce90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3143669-6bfe-43f4-8790-396c63ab951a' class='xr-var-data-in' type='checkbox'><label for='data-a3143669-6bfe-43f4-8790-396c63ab951a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>v component of model wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_min :</span></dt><dd>-30000</dd><dt><span>valid_max :</span></dt><dd>30000</dd><dt><span>comment :</span></dt><dd>Northward component of the atmospheric model wind vector at 10 meters.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "                </tbody>\n",
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       "        </td>\n",
       "        <td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_rad</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 2), meta=np.ndarray&gt;</div><input id='attrs-4e38b05a-5379-4da4-b1db-be2391e9616c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e38b05a-5379-4da4-b1db-be2391e9616c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb704c98-7c14-41e2-acbd-596719001818' class='xr-var-data-in' type='checkbox'><label for='data-eb704c98-7c14-41e2-acbd-596719001818' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wind speed from radiometer</dd><dt><span>standard_name :</span></dt><dd>wind_speed</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>65000</dd><dt><span>comment :</span></dt><dd>Wind speed from radiometer measurements.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 154.16 kiB </td>\n",
       "                        <td> 154.16 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 2) </td>\n",
       "                        <td> (9866, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>distance_to_coast</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-5a3d9931-5f83-4626-89a1-a4bb510cae09' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a3d9931-5f83-4626-89a1-a4bb510cae09' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-edac93f2-a7d3-4205-a57b-fd2b35eb673d' class='xr-var-data-in' type='checkbox'><label for='data-edac93f2-a7d3-4205-a57b-fd2b35eb673d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>distance to coast</dd><dt><span>source :</span></dt><dd>MODIS/GlobCover</dd><dt><span>institution :</span></dt><dd>European Space Agency</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-21000</dd><dt><span>valid_max :</span></dt><dd>21000</dd><dt><span>comment :</span></dt><dd>Approximate distance to the nearest coast point along the Earth surface.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heading_to_coast</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-0897d368-fa55-4175-833a-07a0884a7110' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0897d368-fa55-4175-833a-07a0884a7110' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3843ad48-a285-4a08-9473-46c7cd361170' class='xr-var-data-in' type='checkbox'><label for='data-3843ad48-a285-4a08-9473-46c7cd361170' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>heading to coast</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>35999</dd><dt><span>comment :</span></dt><dd>Approximate compass heading (0-360 degrees with respect to true north) to the nearest coast point.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "        <td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ancillary_surface_classification_flag</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-76e2b40f-5069-4ab7-8c61-74b0d12cedaa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76e2b40f-5069-4ab7-8c61-74b0d12cedaa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df1fd8a7-02dd-4018-be40-d7e816e8b894' class='xr-var-data-in' type='checkbox'><label for='data-df1fd8a7-02dd-4018-be40-d7e816e8b894' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>surface classification</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>source :</span></dt><dd>MODIS/GlobCover</dd><dt><span>institution :</span></dt><dd>European Space Agency</dd><dt><span>flag_meanings :</span></dt><dd>open_ocean land continental_water aquatic_vegetation continental_ice_snow floating_ice salted_basin</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4 5 6]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>6</dd><dt><span>comment :</span></dt><dd>7-state surface type classification computed from a mask built with MODIS and GlobCover data.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_surface_type_flag</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 2), meta=np.ndarray&gt;</div><input id='attrs-5383cfe6-1c6f-48ee-bf4a-b027a250ba96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5383cfe6-1c6f-48ee-bf4a-b027a250ba96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7b99d5b-1de7-4464-a4a9-45d5b14e38a2' class='xr-var-data-in' type='checkbox'><label for='data-f7b99d5b-1de7-4464-a4a9-45d5b14e38a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radiometer surface type flag</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>flag_meanings :</span></dt><dd>open_ocean coastal_ocean land</dd><dt><span>flag_values :</span></dt><dd>[0 1 2]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2</dd><dt><span>comment :</span></dt><dd>Flag indicating the validity and type of processing applied to generate the wet troposphere correction (rad_wet_tropo_cor). A value of 0 indicates that open ocean processing is used, a value of 1 indicates coastal processing, and a value of 2 indicates that rad_wet_tropo_cor is invalid due to land contamination.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orbit_alt_rate</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;</div><input id='attrs-5a35a704-1f91-4102-8f71-7f469049f331' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a35a704-1f91-4102-8f71-7f469049f331' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9045d8c4-e460-460a-b991-94c6549093b5' class='xr-var-data-in' type='checkbox'><label for='data-9045d8c4-e460-460a-b991-94c6549093b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>orbital altitude rate with respect to mean sea surface</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_min :</span></dt><dd>-3500</dd><dt><span>valid_max :</span></dt><dd>3500</dd><dt><span>comment :</span></dt><dd>Orbital altitude rate with respect to the mean sea surface.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                        <td> 77.08 kiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866,) </td>\n",
       "                        <td> (9866,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cross_track_angle</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;</div><input id='attrs-a681afc1-da6c-44cf-a9fd-1a93e9b62a76' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a681afc1-da6c-44cf-a9fd-1a93e9b62a76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-414df607-2549-46f8-951b-1fb2f5a742b3' class='xr-var-data-in' type='checkbox'><label for='data-414df607-2549-46f8-951b-1fb2f5a742b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>cross-track angle from true north</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>359999999</dd><dt><span>comment :</span></dt><dd>Angle with respect to true north of the cross-track direction to the right of the spacecraft velocity vector.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                        <td> 77.08 kiB </td>\n",
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       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sc_roll</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;</div><input id='attrs-a26afabf-299e-41b6-923a-546d8a238b3e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a26afabf-299e-41b6-923a-546d8a238b3e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92404385-4b8f-43a3-8a38-ccb007818aba' class='xr-var-data-in' type='checkbox'><label for='data-92404385-4b8f-43a3-8a38-ccb007818aba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>roll of the spacecraft</dd><dt><span>standard_name :</span></dt><dd>platform_roll_angle</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>quality_flag :</span></dt><dd>orbit_qual</dd><dt><span>valid_min :</span></dt><dd>-1799999</dd><dt><span>valid_max :</span></dt><dd>1800000</dd><dt><span>comment :</span></dt><dd>KMSF attitude roll angle; positive values move the +y antenna down.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                        <td> 77.08 kiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866,) </td>\n",
       "                        <td> (9866,) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sc_pitch</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;</div><input id='attrs-94f64784-f899-4bf2-8237-6488c8fe7f2f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94f64784-f899-4bf2-8237-6488c8fe7f2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee5a215b-0fc2-456b-a2e0-4cbf4754649c' class='xr-var-data-in' type='checkbox'><label for='data-ee5a215b-0fc2-456b-a2e0-4cbf4754649c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pitch of the spacecraft</dd><dt><span>standard_name :</span></dt><dd>platform_pitch_angle</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>quality_flag :</span></dt><dd>orbit_qual</dd><dt><span>valid_min :</span></dt><dd>-1799999</dd><dt><span>valid_max :</span></dt><dd>1800000</dd><dt><span>comment :</span></dt><dd>KMSF attitude pitch angle; positive values move the KMSF +x axis up.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866,) </td>\n",
       "                        <td> (9866,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sc_yaw</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;</div><input id='attrs-0f726c97-ec56-4891-959e-59ec5162eda0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f726c97-ec56-4891-959e-59ec5162eda0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c188edc-3a48-4435-b77c-89461ea586d4' class='xr-var-data-in' type='checkbox'><label for='data-5c188edc-3a48-4435-b77c-89461ea586d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>yaw of the spacecraft</dd><dt><span>standard_name :</span></dt><dd>platform_yaw_angle</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>quality_flag :</span></dt><dd>orbit_qual</dd><dt><span>valid_min :</span></dt><dd>-1799999</dd><dt><span>valid_max :</span></dt><dd>1800000</dd><dt><span>comment :</span></dt><dd>KMSF attitude yaw angle relative to the nadir track. The yaw angle is a right-handed rotation about the nadir (downward) direction. A yaw value of 0 deg indicates that the KMSF +x axis is aligned with the horizontal component of the Earth-relative velocity vector. A yaw value of 180 deg indicates that the spacecraft is in a yaw-flipped state, with the KMSF -x axis aligned with the horizontal component of the Earth-relative velocity vector.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                        <td> 77.08 kiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866,) </td>\n",
       "                        <td> (9866,) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velocity_heading</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;</div><input id='attrs-8e375923-b3cf-4f4f-8dc0-ec74a7175854' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e375923-b3cf-4f4f-8dc0-ec74a7175854' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf258858-5a4b-4d11-8167-ccfcafb08cac' class='xr-var-data-in' type='checkbox'><label for='data-cf258858-5a4b-4d11-8167-ccfcafb08cac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>heading of the spacecraft Earth-relative velocity vector</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>quality_flag :</span></dt><dd>orbit_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>359999999</dd><dt><span>comment :</span></dt><dd>Angle with respect to true north of the horizontal component of the spacecraft Earth-relative velocity vector. A value of 90 deg indicates that the spacecraft velocity vector pointed due east. Values between 0 and 90 deg indicate that the velocity vector has a northward component, and values between 90 and 180 deg indicate that the velocity vector has a southward component.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866,) </td>\n",
       "                        <td> (9866,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orbit_qual</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;</div><input id='attrs-958d9745-c0ff-48fe-87c1-5c1b646666f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-958d9745-c0ff-48fe-87c1-5c1b646666f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dcffed15-1198-4a31-b7e6-75905c5f62ef' class='xr-var-data-in' type='checkbox'><label for='data-dcffed15-1198-4a31-b7e6-75905c5f62ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>orbit quality flag</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>good orbit_estimated_during_a_maneuver orbit_interpolated_over_data_gap orbit_extrapolated_for_a_duration_less_than_1_day orbit_extrapolated_for_a_duration_between_1_to_2_days orbit_extrapolated_for_a_duration_greater_than_2_days bad_attitude</dd><dt><span>flag_values :</span></dt><dd>[ 0  4  5  6  7  8 64]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>64</dd><dt><span>comment :</span></dt><dd>Flag indicating the quality of the reconstructed attitude and orbit ephemeris. A value of 0 indicates the reconstructed attitude and orbit ephemeris are both good. Non-zero values less than 64 indicate that the reconstructed attitude is good but there are issues that degrade the quality of the orbit ephemeris. A value of 64 indicates that the reconstructed attitude is degraded or bad.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 38.54 kiB </td>\n",
       "                        <td> 38.54 kiB </td>\n",
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       "                    <tr>\n",
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       "                        <td> (9866,) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude_avg_ssh</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-d98a4aad-62b0-4742-9e00-a98c4f12acb9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d98a4aad-62b0-4742-9e00-a98c4f12acb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4cf4f153-93e9-4265-9062-eaa4bc031b74' class='xr-var-data-in' type='checkbox'><label for='data-4cf4f153-93e9-4265-9062-eaa4bc031b74' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>weighted average latitude of samples used to compute SSH</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_min :</span></dt><dd>-80000000</dd><dt><span>valid_max :</span></dt><dd>80000000</dd><dt><span>comment :</span></dt><dd>Latitude of measurement [-80,80]. Positive latitude is North latitude, negative latitude is South latitude.  This value may be biased away from a nominal grid location if some of the native, unsmoothed samples were discarded during processing.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "        </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude_avg_ssh</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-4163f67b-06ec-4b39-b0a7-a82e5f3f82ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4163f67b-06ec-4b39-b0a7-a82e5f3f82ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3871e081-d886-4cfe-9925-f1b34706f891' class='xr-var-data-in' type='checkbox'><label for='data-3871e081-d886-4cfe-9925-f1b34706f891' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>weighted average longitude of samples used to compute SSH</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>359999999</dd><dt><span>comment :</span></dt><dd>Longitude of measurement. East longitude relative to Greenwich meridian.  This value may be biased away from a nominal grid location if some of the native, unsmoothed samples were discarded during processing.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cross_track_distance</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-2f455e2b-5ee0-4032-83a5-c99e9829a989' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f455e2b-5ee0-4032-83a5-c99e9829a989' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57ee8588-caaf-4dc1-969b-d1fb3a9f8c08' class='xr-var-data-in' type='checkbox'><label for='data-57ee8588-caaf-4dc1-969b-d1fb3a9f8c08' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>cross track distance</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-75000.0</dd><dt><span>valid_max :</span></dt><dd>75000.0</dd><dt><span>comment :</span></dt><dd>Distance of sample from nadir. Negative values indicate the left side of the swath, and positive values indicate the right side of the swath.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x_factor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-3ebc0850-f7f0-40dc-a891-f277376f36b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ebc0850-f7f0-40dc-a891-f277376f36b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cca3764-a62d-4fac-81dd-4457b0022db7' class='xr-var-data-in' type='checkbox'><label for='data-9cca3764-a62d-4fac-81dd-4457b0022db7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radiometric calibration X factor as a composite value for the X factors of the +y and -y channels</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>valid_max :</span></dt><dd>1e+20</dd><dt><span>comment :</span></dt><dd>Radiometric calibration X factor as a linear power ratio.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_cor_atmos_model</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-82bc5106-44a6-412a-b419-67b397c3b1d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82bc5106-44a6-412a-b419-67b397c3b1d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2775acb4-fcf5-4bc8-98f2-4dc61af75d02' class='xr-var-data-in' type='checkbox'><label for='data-2775acb4-fcf5-4bc8-98f2-4dc61af75d02' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>two-way atmospheric correction to sigma0 from model</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>quality_flag :</span></dt><dd>sig0_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>1.0</dd><dt><span>valid_max :</span></dt><dd>10.0</dd><dt><span>comment :</span></dt><dd>Atmospheric correction to sigma0 from weather model data as a linear power multiplier (not decibels). sig0_cor_atmos_model is already applied in computing sig0_karin_2.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_cor_atmos_rad</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-960311fd-e349-43aa-8b0b-958018ee2942' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-960311fd-e349-43aa-8b0b-958018ee2942' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2048504b-d721-4632-a47e-7e415d70bffc' class='xr-var-data-in' type='checkbox'><label for='data-2048504b-d721-4632-a47e-7e415d70bffc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>two-way atmospheric correction to sigma0 from radiometer data</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>quality_flag :</span></dt><dd>sig0_karin_qual</dd><dt><span>valid_min :</span></dt><dd>1.0</dd><dt><span>valid_max :</span></dt><dd>10.0</dd><dt><span>comment :</span></dt><dd>Atmospheric correction to sigma0 from radiometer data as a linear power multiplier (not decibels). sig0_cor_atmos_rad is already applied in computing sig0_karin.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>doppler_centroid</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-31b5849e-73cd-4160-a6de-da62e8871652' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31b5849e-73cd-4160-a6de-da62e8871652' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4304295e-72a1-4c2f-863f-8306e51ca6fc' class='xr-var-data-in' type='checkbox'><label for='data-4304295e-72a1-4c2f-863f-8306e51ca6fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>doppler centroid estimated by KaRIn</dd><dt><span>units :</span></dt><dd>1/s</dd><dt><span>valid_min :</span></dt><dd>-30000</dd><dt><span>valid_max :</span></dt><dd>30000</dd><dt><span>comment :</span></dt><dd>Doppler centroid (in hertz or cycles per second) estimated by KaRIn.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>phase_bias_ref_surface</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-f87a2b9a-0c34-49f6-a9d3-4a5ba24b1394' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f87a2b9a-0c34-49f6-a9d3-4a5ba24b1394' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e234752d-ce54-4fe3-af2c-8844af62d2b6' class='xr-var-data-in' type='checkbox'><label for='data-e234752d-ce54-4fe3-af2c-8844af62d2b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>height of reference surface used for phase bias calculation</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-15000000</dd><dt><span>valid_max :</span></dt><dd>150000000</dd><dt><span>comment :</span></dt><dd>Height (relative to the reference ellipsoid) of the reference surface used for phase bias calculation during L1B processing.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>obp_ref_surface</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-5a667ec3-5612-4560-bdee-d71b7b322ed7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a667ec3-5612-4560-bdee-d71b7b322ed7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-caa4695b-5cf1-47cd-8015-9c4f483402fa' class='xr-var-data-in' type='checkbox'><label for='data-caa4695b-5cf1-47cd-8015-9c4f483402fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>height of reference surface used by on-board-processor</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-15000000</dd><dt><span>valid_max :</span></dt><dd>150000000</dd><dt><span>comment :</span></dt><dd>Height (relative to the reference ellipsoid) of the reference surface used by the KaRIn on-board processor.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_tmb_187</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 2), meta=np.ndarray&gt;</div><input id='attrs-0b11a832-971b-4ec4-81cb-ae0337f04583' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b11a832-971b-4ec4-81cb-ae0337f04583' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35091d72-b963-48a2-8e7c-388d1996eb65' class='xr-var-data-in' type='checkbox'><label for='data-35091d72-b963-48a2-8e7c-388d1996eb65' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radiometer main beam brightness temperature at 18.7 GHz</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>valid_min :</span></dt><dd>13000</dd><dt><span>valid_max :</span></dt><dd>25000</dd><dt><span>comment :</span></dt><dd>Main beam brightness temperature measurement at 18.7 GHz. Value is unsmoothed (along-track averaging has not been performed).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
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       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 154.16 kiB </td>\n",
       "                        <td> 154.16 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 2) </td>\n",
       "                        <td> (9866, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_tmb_238</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 2), meta=np.ndarray&gt;</div><input id='attrs-5b07036f-431f-4dd9-90ba-d6ff55029ecb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b07036f-431f-4dd9-90ba-d6ff55029ecb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5181fcd7-eebf-4f49-a2bb-859c0779f671' class='xr-var-data-in' type='checkbox'><label for='data-5181fcd7-eebf-4f49-a2bb-859c0779f671' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radiometer main beam brightness temperature at 23.8 GHz</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>valid_min :</span></dt><dd>13000</dd><dt><span>valid_max :</span></dt><dd>25000</dd><dt><span>comment :</span></dt><dd>Main beam brightness temperature measurement at 23.8 GHz. Value is unsmoothed (along-track averaging has not been performed).</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 154.16 kiB </td>\n",
       "                        <td> 154.16 kiB </td>\n",
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       "                        <td> (9866, 2) </td>\n",
       "                        <td> (9866, 2) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_tmb_340</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 2), meta=np.ndarray&gt;</div><input id='attrs-f242b0f1-d616-4879-bee8-8a8d6c8f9703' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f242b0f1-d616-4879-bee8-8a8d6c8f9703' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-306e79bf-198c-4442-bba6-f6cf456ed4a8' class='xr-var-data-in' type='checkbox'><label for='data-306e79bf-198c-4442-bba6-f6cf456ed4a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radiometer main beam brightness temperature at 34.0 GHz</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>valid_min :</span></dt><dd>15000</dd><dt><span>valid_max :</span></dt><dd>28000</dd><dt><span>comment :</span></dt><dd>Main beam brightness temperature measurement at 34.0 GHz. Value is unsmoothed (along-track averaging has not been performed).</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 154.16 kiB </td>\n",
       "                        <td> 154.16 kiB </td>\n",
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       "                        <td> (9866, 2) </td>\n",
       "                        <td> (9866, 2) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_water_vapor</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 2), meta=np.ndarray&gt;</div><input id='attrs-e078877a-44c5-49c9-bad9-35d360554128' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e078877a-44c5-49c9-bad9-35d360554128' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa027174-b71a-42eb-9a1e-a6a4aca0a44c' class='xr-var-data-in' type='checkbox'><label for='data-fa027174-b71a-42eb-9a1e-a6a4aca0a44c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>water vapor content from radiometer</dd><dt><span>standard_name :</span></dt><dd>atmosphere_water_vapor_content</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>kg/m^2</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>15000</dd><dt><span>comment :</span></dt><dd>Integrated water vapor content from radiometer measurements.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 154.16 kiB </td>\n",
       "                        <td> 154.16 kiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 2) </td>\n",
       "                        <td> (9866, 2) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_cloud_liquid_water</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 2), meta=np.ndarray&gt;</div><input id='attrs-63ca6433-f73c-47e7-a17a-76abb04d4564' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63ca6433-f73c-47e7-a17a-76abb04d4564' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8966a569-e94d-452e-ae94-0fd91974ea6a' class='xr-var-data-in' type='checkbox'><label for='data-8966a569-e94d-452e-ae94-0fd91974ea6a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>liquid water content from radiometer</dd><dt><span>standard_name :</span></dt><dd>atmosphere_cloud_liquid_water_content</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>kg/m^2</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Integrated cloud liquid water content from radiometer measurements.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 154.16 kiB </td>\n",
       "                        <td> 154.16 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 2) </td>\n",
       "                        <td> (9866, 2) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_sea_surface_cnescls</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-ce7cbf86-2bec-4a4d-9e60-c63426ef8122' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce7cbf86-2bec-4a4d-9e60-c63426ef8122' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86757637-1a3b-424b-b967-7931e61c2805' class='xr-var-data-in' type='checkbox'><label for='data-86757637-1a3b-424b-b967-7931e61c2805' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean sea surface height (CNES/CLS)</dd><dt><span>source :</span></dt><dd>CNES_CLS_2022</dd><dt><span>institution :</span></dt><dd>CNES/CLS</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-1500000</dd><dt><span>valid_max :</span></dt><dd>1500000</dd><dt><span>comment :</span></dt><dd>Mean sea surface height above the reference ellipsoid. The value is referenced to the mean tide system, i.e. includes the permanent tide (zero frequency).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_sea_surface_cnescls_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-a23ea0c9-4066-4c27-84b8-0e30c1827a8c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a23ea0c9-4066-4c27-84b8-0e30c1827a8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08123f94-5551-4883-9c62-a134a8e0ec87' class='xr-var-data-in' type='checkbox'><label for='data-08123f94-5551-4883-9c62-a134a8e0ec87' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean sea surface height accuracy (CNES/CLS)</dd><dt><span>source :</span></dt><dd>CNES_CLS_2022</dd><dt><span>institution :</span></dt><dd>CNES/CLS</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Accuracy of the mean sea surface height (mean_sea_surface_cnescls).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_sea_surface_dtu</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-f1cb9528-480a-43b7-b211-c4cd4e8843f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1cb9528-480a-43b7-b211-c4cd4e8843f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29b7579e-7da7-42d7-a5d6-df88aff97a68' class='xr-var-data-in' type='checkbox'><label for='data-29b7579e-7da7-42d7-a5d6-df88aff97a68' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean sea surface height (DTU)</dd><dt><span>source :</span></dt><dd>DTU18</dd><dt><span>institution :</span></dt><dd>DTU</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-1500000</dd><dt><span>valid_max :</span></dt><dd>1500000</dd><dt><span>comment :</span></dt><dd>Mean sea surface height above the reference ellipsoid. The value is referenced to the mean tide system, i.e. includes the permanent tide (zero frequency).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "                </tbody>\n",
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       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_sea_surface_dtu_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-4ccd9067-3595-439f-bcff-3bbeafb96483' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ccd9067-3595-439f-bcff-3bbeafb96483' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37f6eb80-b6af-4d8d-8d3c-73b6e2f184ae' class='xr-var-data-in' type='checkbox'><label for='data-37f6eb80-b6af-4d8d-8d3c-73b6e2f184ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean sea surface height accuracy (DTU)</dd><dt><span>source :</span></dt><dd>DTU18</dd><dt><span>institution :</span></dt><dd>DTU</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Accuracy of the mean sea surface height (mean_sea_surface_dtu)</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geoid</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-e2c66488-e7d5-428e-9d0d-d474b30a093a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2c66488-e7d5-428e-9d0d-d474b30a093a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-591a1ea8-1011-4330-930a-9d6f8cd9c1f2' class='xr-var-data-in' type='checkbox'><label for='data-591a1ea8-1011-4330-930a-9d6f8cd9c1f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>geoid height</dd><dt><span>standard_name :</span></dt><dd>geoid_height_above_reference_ellipsoid</dd><dt><span>source :</span></dt><dd>EGM2008 (Pavlis et al., 2012)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-1500000</dd><dt><span>valid_max :</span></dt><dd>1500000</dd><dt><span>comment :</span></dt><dd>Geoid height above the reference ellipsoid with a correction to refer the value to the mean tide system, i.e. includes the permanent tide (zero frequency).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_dynamic_topography</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-439d81df-eca3-40fb-8fe8-8ecda9a8e7a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-439d81df-eca3-40fb-8fe8-8ecda9a8e7a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fae7397a-7c25-4402-8f07-70236e0542d5' class='xr-var-data-in' type='checkbox'><label for='data-fae7397a-7c25-4402-8f07-70236e0542d5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean dynamic topography</dd><dt><span>source :</span></dt><dd>CNES_CLS_2022</dd><dt><span>institution :</span></dt><dd>CNES/CLS</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-30000</dd><dt><span>valid_max :</span></dt><dd>30000</dd><dt><span>comment :</span></dt><dd>Mean dynamic topography above the geoid.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_dynamic_topography_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-58bd3bdf-5c38-400c-813f-1245769c5ebe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58bd3bdf-5c38-400c-813f-1245769c5ebe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89a259dd-dddd-4123-8ad3-af3075d14b98' class='xr-var-data-in' type='checkbox'><label for='data-89a259dd-dddd-4123-8ad3-af3075d14b98' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean dynamic topography accuracy</dd><dt><span>source :</span></dt><dd>CNES_CLS_2022</dd><dt><span>institution :</span></dt><dd>CNES/CLS</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Accuracy of the mean dynamic topography.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "                </tbody>\n",
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       "        </td>\n",
       "        <td>\n",
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       "\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>depth_or_elevation</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-86c80baf-37f9-483d-a297-18ec61faf333' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86c80baf-37f9-483d-a297-18ec61faf333' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6061ce37-d2d8-4859-b63a-6df3fed7f081' class='xr-var-data-in' type='checkbox'><label for='data-6061ce37-d2d8-4859-b63a-6df3fed7f081' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ocean depth or land elevation</dd><dt><span>source :</span></dt><dd>Altimeter Corrected Elevations, version 2</dd><dt><span>institution :</span></dt><dd>European Space Agency</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-12000</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Ocean depth or land elevation above reference ellipsoid. Ocean depth (bathymetry) is given as negative values, and land elevation positive values.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "        <td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>solid_earth_tide</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-4edb3ad0-2caf-475b-ad40-e9bc4e0ebe3d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4edb3ad0-2caf-475b-ad40-e9bc4e0ebe3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2815e15-b99b-4025-b9a0-8bbddee98114' class='xr-var-data-in' type='checkbox'><label for='data-f2815e15-b99b-4025-b9a0-8bbddee98114' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>solid Earth tide height</dd><dt><span>source :</span></dt><dd>Cartwright and Taylor (1971) and Cartwright and Edden (1973)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-10000</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Solid-Earth (body) tide height. The zero-frequency permanent tide component is not included.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
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       "\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_tide_fes</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-ef7e833c-4521-4d64-a4b7-b0eed12ff477' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef7e833c-4521-4d64-a4b7-b0eed12ff477' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5965cc0b-29d3-4964-8904-4abd46b5e265' class='xr-var-data-in' type='checkbox'><label for='data-5965cc0b-29d3-4964-8904-4abd46b5e265' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>geocentric ocean tide height (FES)</dd><dt><span>source :</span></dt><dd>FES2014b (Carrere et al., 2016)</dd><dt><span>institution :</span></dt><dd>LEGOS/CNES</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-300000</dd><dt><span>valid_max :</span></dt><dd>300000</dd><dt><span>comment :</span></dt><dd>Geocentric ocean tide height. Includes the sum total of the ocean tide, the corresponding load tide (load_tide_fes) and equilibrium long-period ocean tide height (ocean_tide_eq).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_tide_got</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-8b11c768-cbd1-4105-a2f5-3311bd51e4ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b11c768-cbd1-4105-a2f5-3311bd51e4ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52d6239f-fd4c-47ff-b29d-78f16e2e3a54' class='xr-var-data-in' type='checkbox'><label for='data-52d6239f-fd4c-47ff-b29d-78f16e2e3a54' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>geocentric ocean tide height (GOT)</dd><dt><span>source :</span></dt><dd>GOT4.10c (Ray, 2013)</dd><dt><span>institution :</span></dt><dd>GSFC</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-300000</dd><dt><span>valid_max :</span></dt><dd>300000</dd><dt><span>comment :</span></dt><dd>Geocentric ocean tide height. Includes the sum total of the ocean tide, the corresponding load tide (load_tide_got) and equilibrium long-period ocean tide height (ocean_tide_eq).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>load_tide_fes</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-6a75599b-2bcd-4658-bb76-712deebaa30c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a75599b-2bcd-4658-bb76-712deebaa30c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-129bf230-0651-4b9a-b6f5-e02b47c54838' class='xr-var-data-in' type='checkbox'><label for='data-129bf230-0651-4b9a-b6f5-e02b47c54838' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>geocentric load tide height (FES)</dd><dt><span>source :</span></dt><dd>FES2014b (Carrere et al., 2016)</dd><dt><span>institution :</span></dt><dd>LEGOS/CNES</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Geocentric load tide height. The effect of the ocean tide loading of the Earth&#x27;s crust. This value has already been added to the corresponding ocean tide height value (ocean_tide_fes).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>load_tide_got</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-49f9cfb4-ad40-40ad-92bd-0efa1a35d078' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49f9cfb4-ad40-40ad-92bd-0efa1a35d078' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58fe1ef8-6342-4d18-ac47-91dec9cc1005' class='xr-var-data-in' type='checkbox'><label for='data-58fe1ef8-6342-4d18-ac47-91dec9cc1005' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>geocentric load tide height (GOT)</dd><dt><span>source :</span></dt><dd>GOT4.10c (Ray, 2013)</dd><dt><span>institution :</span></dt><dd>GSFC</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Geocentric load tide height. The effect of the ocean tide loading of the Earth&#x27;s crust. This value has already been added to the corresponding ocean tide height value (ocean_tide_got).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_tide_eq</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-ca70e7ab-4e24-4c72-8491-b8b92913cbe8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca70e7ab-4e24-4c72-8491-b8b92913cbe8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cbc5b7c8-b708-4177-93b9-c1670bf78501' class='xr-var-data-in' type='checkbox'><label for='data-cbc5b7c8-b708-4177-93b9-c1670bf78501' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>equilibrium long-period ocean tide height</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Equilibrium long-period ocean tide height. This value has already been added to the corresponding ocean tide height values (ocean_tide_fes and ocean_tide_got).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"120\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
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       "\n",
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       "\n",
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       "  <text x=\"12.706308\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >69</text>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_tide_non_eq</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-0640e174-647b-41a3-9c29-c62265064fa0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0640e174-647b-41a3-9c29-c62265064fa0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c646bd09-7ea4-4bec-a031-ce8444a78066' class='xr-var-data-in' type='checkbox'><label for='data-c646bd09-7ea4-4bec-a031-ce8444a78066' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>non-equilibrium long-period ocean tide height</dd><dt><span>source :</span></dt><dd>FES2014b (Carrere et al., 2016)</dd><dt><span>institution :</span></dt><dd>LEGOS/CNES</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Non-equilibrium long-period ocean tide height. This value is reported as a relative displacement with repsect to ocean_tide_eq. This value can be added to ocean_tide_eq, ocean_tide_fes, or ocean_tide_got, or subtracted from ssha_karin and ssha_karin_2, to account for the total long-period ocean tides from equilibrium and non-equilibrium contributions.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"120\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
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       "\n",
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       "  <text x=\"12.706308\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >69</text>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>internal_tide_hret</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-f0f3becd-7979-417d-bc1c-cffe197911d4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0f3becd-7979-417d-bc1c-cffe197911d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48cc25bf-f437-4439-b7b4-61255ce76ec4' class='xr-var-data-in' type='checkbox'><label for='data-48cc25bf-f437-4439-b7b4-61255ce76ec4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>coherent internal tide (HRET)</dd><dt><span>source :</span></dt><dd>Zaron (2019)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Coherent internal ocean tide. This value is subtracted from the ssh_karin and ssh_karin_2 to compute ssha_karin and ssha_karin_2, respectively.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
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       "\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>internal_tide_sol2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-cea02b83-0002-4492-953a-688267ae84e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cea02b83-0002-4492-953a-688267ae84e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a3e3521-d50b-4182-81c3-5f28ae146ccf' class='xr-var-data-in' type='checkbox'><label for='data-9a3e3521-d50b-4182-81c3-5f28ae146ccf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>coherent internal tide (Model 2)</dd><dt><span>source :</span></dt><dd>None</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Coherent internal tide. This value is currently always defaulted.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pole_tide</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-116b0f25-e746-4dde-8437-ecaa747300e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-116b0f25-e746-4dde-8437-ecaa747300e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c00f78b-48aa-4d56-949d-492c6dd66462' class='xr-var-data-in' type='checkbox'><label for='data-3c00f78b-48aa-4d56-949d-492c6dd66462' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>geocentric pole tide height</dd><dt><span>source :</span></dt><dd>Wahr (1985) and Desai et al. (2015)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Geocentric pole tide height.  The total of the contribution from the solid-Earth (body) pole tide height, the ocean pole tide height, and the load pole tide height (i.e., the effect of the ocean pole tide loading of the Earth&#x27;s crust).</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
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       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dac</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-658165ef-e4af-4246-864e-4ea40b39a31e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-658165ef-e4af-4246-864e-4ea40b39a31e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-298ac9dc-3c2f-4e44-b22b-7eb0247603ee' class='xr-var-data-in' type='checkbox'><label for='data-298ac9dc-3c2f-4e44-b22b-7eb0247603ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>dynamic atmospheric correction</dd><dt><span>source :</span></dt><dd>MOG2D</dd><dt><span>institution :</span></dt><dd>LEGOS/CNES/CLS</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-12000</dd><dt><span>valid_max :</span></dt><dd>12000</dd><dt><span>comment :</span></dt><dd>Model estimate of the effect on sea surface topography due to high frequency air pressure and wind effects and the low-frequency height from inverted barometer effect (inv_bar_cor). This value is subtracted from the ssh_karin and ssh_karin_2 to compute ssha_karin and ssha_karin_2, respectively. Use only one of inv_bar_cor and dac.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>inv_bar_cor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-6b5c95ef-b593-44fd-95bc-aa633025a57f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b5c95ef-b593-44fd-95bc-aa633025a57f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f92c585a-c6e0-43a1-b836-cecb9edd3918' class='xr-var-data-in' type='checkbox'><label for='data-f92c585a-c6e0-43a1-b836-cecb9edd3918' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>static inverse barometer effect on sea surface height</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Estimate of static effect of atmospheric pressure on sea surface height. Above average pressure lowers sea surface height. Computed by interpolating ECMWF pressure fields in space and time. The value is included in dac. To apply, add dac to ssha_karin and ssha_karin_2 and subtract inv_bar_cor.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <tbody>\n",
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       "                        <td> 5.19 MiB </td>\n",
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       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>model_dry_tropo_cor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-f5f53c67-c9ef-47e6-b046-a4a603c8a16f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5f53c67-c9ef-47e6-b046-a4a603c8a16f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7336535b-f9ed-4b02-a3fc-25fb04b0374d' class='xr-var-data-in' type='checkbox'><label for='data-7336535b-f9ed-4b02-a3fc-25fb04b0374d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>dry troposphere vertical correction</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>-30000</dd><dt><span>valid_max :</span></dt><dd>-15000</dd><dt><span>comment :</span></dt><dd>Equivalent vertical correction due to dry troposphere delay. The reported sea surface height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
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       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>model_wet_tropo_cor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-aea0b17b-bcf5-4fc6-8731-f10f7b037c74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aea0b17b-bcf5-4fc6-8731-f10f7b037c74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1976431-3be8-44ab-9d3f-0d903b2fb482' class='xr-var-data-in' type='checkbox'><label for='data-f1976431-3be8-44ab-9d3f-0d903b2fb482' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wet troposphere vertical correction from weather model data</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>-10000</dd><dt><span>valid_max :</span></dt><dd>0</dd><dt><span>comment :</span></dt><dd>Equivalent vertical correction due to wet troposphere delay from weather model data. The reported pixel height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height (ssh_karin_2) results in the uncorrected sea surface height.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_wet_tropo_cor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-9d7d9e00-67af-41d9-a16c-e02f3139fce1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d7d9e00-67af-41d9-a16c-e02f3139fce1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46a01e12-7615-4fda-82a1-e57aba4bca92' class='xr-var-data-in' type='checkbox'><label for='data-46a01e12-7615-4fda-82a1-e57aba4bca92' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wet troposphere vertical correction from radiometer data</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_qual</dd><dt><span>valid_min :</span></dt><dd>-10000</dd><dt><span>valid_max :</span></dt><dd>0</dd><dt><span>comment :</span></dt><dd>Equivalent vertical correction due to wet troposphere delay from radiometer measurements. The reported pixel height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height (ssh_karin) results in the uncorrected sea surface height.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <td> 5.19 MiB </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>iono_cor_gim_ka</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-d5189c8b-ce46-411c-b3ce-323ba709e2fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5189c8b-ce46-411c-b3ce-323ba709e2fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8633bbf-c705-485f-aaf4-f950e83008bf' class='xr-var-data-in' type='checkbox'><label for='data-a8633bbf-c705-485f-aaf4-f950e83008bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ionosphere vertical correction</dd><dt><span>source :</span></dt><dd>Global Ionosphere Maps</dd><dt><span>institution :</span></dt><dd>JPL</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>-5000</dd><dt><span>valid_max :</span></dt><dd>0</dd><dt><span>comment :</span></dt><dd>Equivalent vertical correction due to ionosphere delay. The reported sea surface height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height_cor_xover</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-5e543559-29a7-4e34-b480-fffb11b886b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e543559-29a7-4e34-b480-fffb11b886b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6371cba-7a99-4d55-8225-d1fcdb205a89' class='xr-var-data-in' type='checkbox'><label for='data-e6371cba-7a99-4d55-8225-d1fcdb205a89' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>height correction from crossover calibration</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>height_cor_xover_qual</dd><dt><span>valid_min :</span></dt><dd>-100000</dd><dt><span>valid_max :</span></dt><dd>100000</dd><dt><span>comment :</span></dt><dd>Height correction from crossover calibration. To apply this correction the value of height_cor_xover should be added to the value of ssh_karin, ssh_karin_2, ssha_karin, and ssha_karin_2.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
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       "                        <td> 5.19 MiB </td>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height_cor_xover_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-25de3747-513a-4db5-a69c-d199e0672532' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25de3747-513a-4db5-a69c-d199e0672532' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b61f6b55-4747-4d8d-be55-823421f28ee2' class='xr-var-data-in' type='checkbox'><label for='data-b61f6b55-4747-4d8d-be55-823421f28ee2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for height correction from crossover calibration</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>good suspect bad</dd><dt><span>flag_values :</span></dt><dd>[0 1 2]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2</dd><dt><span>comment :</span></dt><dd>Flag indicating the quality of the height correction from crossover calibration.  Values of 0, 1, and 2 indicate that the correction is good, suspect, and bad, respectively.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rain_rate</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-c4a9d44b-88ab-4080-99fb-ea7a888f3a4f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4a9d44b-88ab-4080-99fb-ea7a888f3a4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-658378d7-37e9-4050-82e6-338f80f6e891' class='xr-var-data-in' type='checkbox'><label for='data-658378d7-37e9-4050-82e6-338f80f6e891' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>rain rate from weather model</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>mm/hr</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>200</dd><dt><span>comment :</span></dt><dd>Rain rate from weather model.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <td> (9866, 69) </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ice_conc</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-0e51aab4-8262-4028-865c-0c00c7885c25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e51aab4-8262-4028-865c-0c00c7885c25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a89144b3-dbeb-4be1-8943-e79606c4d44d' class='xr-var-data-in' type='checkbox'><label for='data-a89144b3-dbeb-4be1-8943-e79606c4d44d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>concentration of sea ice</dd><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction</dd><dt><span>source :</span></dt><dd>EUMETSAT Ocean and Sea Ice Satellite Applications Facility</dd><dt><span>institution :</span></dt><dd>EUMETSAT</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Concentration of sea ice from model.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                    <tr>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_state_bias_cor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-175bbe7e-562e-48e7-a2fb-5744c75bd296' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-175bbe7e-562e-48e7-a2fb-5744c75bd296' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5793e5ef-77b0-4eac-b473-9b2c9326bd64' class='xr-var-data-in' type='checkbox'><label for='data-5793e5ef-77b0-4eac-b473-9b2c9326bd64' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea state bias correction</dd><dt><span>source :</span></dt><dd>CNES</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-6000</dd><dt><span>valid_max :</span></dt><dd>0</dd><dt><span>comment :</span></dt><dd>Sea state bias correction used to compute ssh_karin. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height. The wind_speed_karin value is used to compute this quantity.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                        <td> (9866, 69) </td>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_state_bias_cor_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-a8b50a9f-845a-4c70-b0fd-a781382538c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a8b50a9f-845a-4c70-b0fd-a781382538c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab8f1a01-51a7-4783-8853-da015c217e1b' class='xr-var-data-in' type='checkbox'><label for='data-ab8f1a01-51a7-4783-8853-da015c217e1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea state bias correction</dd><dt><span>source :</span></dt><dd>CNES</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-6000</dd><dt><span>valid_max :</span></dt><dd>0</dd><dt><span>comment :</span></dt><dd>Sea state bias correction used to compute ssh_karin_2. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height. The wind_speed_karin_2 value is used to compute this quantity.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                    <tr>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "        <td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_ssb_cor_source</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-07405c33-0aec-4b52-bbcf-ab7f97a06cec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07405c33-0aec-4b52-bbcf-ab7f97a06cec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-077d6413-f2d2-4ad3-9d3b-ffa280ddf62e' class='xr-var-data-in' type='checkbox'><label for='data-077d6413-f2d2-4ad3-9d3b-ffa280ddf62e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>source flag for significant wave height information used to compute sea state bias correction</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>nadir_altimeter karin model</dd><dt><span>flag_masks :</span></dt><dd>[1 2 4]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>7</dd><dt><span>comment :</span></dt><dd>Bit flag that indicates the source of significant wave height information that was used to compute the sea state bias correction in sea_state_bias_cor.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
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       "                <thead>\n",
       "                    <tr>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                        <td> 2.60 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        <td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_ssb_cor_source_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-0ab967d1-9ae1-48fc-ba10-fd9c2164bc2c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ab967d1-9ae1-48fc-ba10-fd9c2164bc2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddd69f4b-68ba-4001-8599-1ebc5f7df173' class='xr-var-data-in' type='checkbox'><label for='data-ddd69f4b-68ba-4001-8599-1ebc5f7df173' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>source flag for significant wave height information used to compute sea state bias correction</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>nadir_altimeter karin model</dd><dt><span>flag_masks :</span></dt><dd>[1 2 4]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>7</dd><dt><span>comment :</span></dt><dd>Bit flag that indicates the source of significant wave height information that was used to compute the sea state bias correction in sea_state_bias_cor_2.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
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       "                        <th> Array </th>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                        <td> 2.60 MiB </td>\n",
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       "                    <tr>\n",
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       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_ssb_cor_source</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-6e9dafba-4905-445c-93b9-529b8e20abbb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e9dafba-4905-445c-93b9-529b8e20abbb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc0fb63b-7745-4f2b-bfda-1914953d2840' class='xr-var-data-in' type='checkbox'><label for='data-bc0fb63b-7745-4f2b-bfda-1914953d2840' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>source flag for wind speed information used to compute sea state bias correction</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>nadir_altimeter karin model</dd><dt><span>flag_masks :</span></dt><dd>[1 2 4]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>7</dd><dt><span>comment :</span></dt><dd>Bit flag that indicates the source of wind speed information that was used to compute the sea state bias correction in sea_state_bias_cor.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_ssb_cor_source_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-6d196db8-e145-4b59-b8e1-21fee174fcba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d196db8-e145-4b59-b8e1-21fee174fcba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f8e577f-8a35-4fc0-9bda-db8ce7026424' class='xr-var-data-in' type='checkbox'><label for='data-5f8e577f-8a35-4fc0-9bda-db8ce7026424' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>source flag for wind speed information used to compute sea state bias correction</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>nadir_altimeter karin model</dd><dt><span>flag_masks :</span></dt><dd>[1 2 4]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>7</dd><dt><span>comment :</span></dt><dd>Bit flag that indicates the source of wind speed information that was used to compute the sea state bias correction in sea_state_bias_cor_2.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                        <td> 2.60 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>volumetric_correlation</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-8abea937-47ed-4070-ad1f-ce883170aabc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8abea937-47ed-4070-ad1f-ce883170aabc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3918f582-dc7a-49f0-aea4-e74a3b59ec98' class='xr-var-data-in' type='checkbox'><label for='data-3918f582-dc7a-49f0-aea4-e74a3b59ec98' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>volumetric correlation</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>20000</dd><dt><span>comment :</span></dt><dd>Volumetric correlation.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>volumetric_correlation_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-faccf888-a453-477a-acfc-581eeacc8a2d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-faccf888-a453-477a-acfc-581eeacc8a2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96fcf22c-0136-4bd2-8943-0db57a44146f' class='xr-var-data-in' type='checkbox'><label for='data-96fcf22c-0136-4bd2-8943-0db57a44146f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>volumetric correlation standard deviation</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>1-sigma uncertainty computed analytically using observed correlation and effective number of looks. Two-sided error bars (volumetric_correlation-volumetric_correlation_uncert, volumetric_correlation+volumetric_correlation_uncert) include 68% of probability distribution.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                    <tr>\n",
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       "                    <tr>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-8977ca10-1f69-40c6-9fe8-2b4fd8a239db' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8977ca10-1f69-40c6-9fe8-2b4fd8a239db' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-d77e9b34-c447-4e98-83e3-efbcbabf6940' class='xr-section-summary-in' type='checkbox'  ><label for='section-d77e9b34-c447-4e98-83e3-efbcbabf6940' class='xr-section-summary' >Attributes: <span>(62)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>title :</span></dt><dd>Level 2 Low Rate Sea Surface Height Data Product - Expert SSH with Wind and Wave</dd><dt><span>institution :</span></dt><dd>CNES</dd><dt><span>source :</span></dt><dd>Ka-band radar interferometer</dd><dt><span>history :</span></dt><dd>2023-11-25T21:23:38Z : Creation</dd><dt><span>platform :</span></dt><dd>SWOT</dd><dt><span>reference_document :</span></dt><dd>D-56407_SWOT_Product_Description_L2_LR_SSH</dd><dt><span>contact :</span></dt><dd>podaac@jpl.nasa.gov</dd><dt><span>cycle_number :</span></dt><dd>7</dd><dt><span>pass_number :</span></dt><dd>13</dd><dt><span>equator_time :</span></dt><dd>2023-11-23T20:47:23.807000Z</dd><dt><span>short_name :</span></dt><dd>L2_LR_SSH</dd><dt><span>product_file_id :</span></dt><dd>Expert</dd><dt><span>crid :</span></dt><dd>PIC0</dd><dt><span>product_version :</span></dt><dd>01</dd><dt><span>pge_name :</span></dt><dd>PGE_L2_LR_SSH</dd><dt><span>pge_version :</span></dt><dd>5.0.2</dd><dt><span>time_coverage_start :</span></dt><dd>2023-11-23T20:21:37.683390</dd><dt><span>time_coverage_end :</span></dt><dd>2023-11-23T21:13:05.888030</dd><dt><span>geospatial_lon_min :</span></dt><dd>121.107237</dd><dt><span>geospatial_lon_max :</span></dt><dd>288.551771</dd><dt><span>geospatial_lat_min :</span></dt><dd>-78.271942</dd><dt><span>geospatial_lat_max :</span></dt><dd>78.27206799999999</dd><dt><span>left_first_longitude :</span></dt><dd>121.12660899999999</dd><dt><span>left_first_latitude :</span></dt><dd>-77.05370099999999</dd><dt><span>left_last_longitude :</span></dt><dd>288.551771</dd><dt><span>left_last_latitude :</span></dt><dd>78.27200599999999</dd><dt><span>right_first_longitude :</span></dt><dd>121.107237</dd><dt><span>right_first_latitude :</span></dt><dd>-78.27186999999999</dd><dt><span>right_last_longitude :</span></dt><dd>288.53394399999996</dd><dt><span>right_last_latitude :</span></dt><dd>77.053837</dd><dt><span>wavelength :</span></dt><dd>0.008385803020979021</dd><dt><span>transmit_antenna :</span></dt><dd>minus_y</dd><dt><span>xref_l1b_lr_intf_file 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:</span></dt><dd>SWOT_Param_L2_LR_PreCalSSH_20000101T000000_20991231T235959_20230815T120500_v301.nc</dd><dt><span>xref_orbit_ephemeris_file :</span></dt><dd>SWOT_POR_AXVCNE20231124_105318_20231122_225923_20231124_005923.nc</dd><dt><span>xref_reforbittrack_files :</span></dt><dd>SWOT_RefOrbitTrack125mPass1_Nom_20000101T000000_21000101T000000_20200617T193054_v101.txt, SWOT_RefOrbitTrack125mPass2_Nom_20000101T000000_21000101T000000_20200617T193054_v101.txt</dd><dt><span>xref_meteorological_sealevel_pressure_files :</span></dt><dd>SMM_PMA_AXVCNE20231124_030722_20231123_180000_20231123_180000, SMM_PMA_AXVCNE20231124_051537_20231124_000000_20231124_000000</dd><dt><span>xref_meteorological_wettroposphere_files :</span></dt><dd>SMM_WEA_AXVCNE20231124_030722_20231123_180000_20231123_180000, SMM_WEA_AXVCNE20231124_051537_20231124_000000_20231124_000000</dd><dt><span>xref_meteorological_wind_files :</span></dt><dd>SMM_UWA_AXVCNE20231124_030722_20231123_180000_20231123_180000, SMM_VWA_AXVCNE20231124_030722_20231123_180000_20231123_180000, SMM_VWA_AXVCNE20231124_051537_20231124_000000_20231124_000000, SMM_UWA_AXVCNE20231124_051537_20231124_000000_20231124_000000</dd><dt><span>xref_meteorological_surface_pressure_files :</span></dt><dd>SMM_PSA_AXVCNE20231124_054040_20231123_180000_20231123_180000, SMM_PSA_AXVCNE20231124_054040_20231124_000000_20231124_000000</dd><dt><span>xref_meteorological_temperature_files :</span></dt><dd>SMM_T2M_AXPCNE20231124_054040_20231123_180000_20231123_180000.grb, SMM_T2M_AXPCNE20231124_054040_20231124_000000_20231124_000000.grb</dd><dt><span>xref_meteorological_water_vapor_files :</span></dt><dd>SMM_CWV_AXPCNE20231124_054040_20231123_180000_20231123_180000.grb, SMM_CWV_AXPCNE20231124_054040_20231124_000000_20231124_000000.grb</dd><dt><span>xref_meteorological_cloud_liquid_water_files :</span></dt><dd>SMM_CLW_AXPCNE20231124_054040_20231123_180000_20231123_180000.grb, SMM_CLW_AXPCNE20231124_054040_20231124_000000_20231124_000000.grb</dd><dt><span>xref_model_significant_wave_height_files :</span></dt><dd>SMM_SWH_AXPCNE20231124_054040_20231123_180000_20231123_180000.grb, SMM_SWH_AXPCNE20231124_054040_20231124_000000_20231124_000000.grb</dd><dt><span>xref_gim_files :</span></dt><dd>JPLQ3270.23I, JPLQ3280.23I</dd><dt><span>xref_pole_location_file :</span></dt><dd>SMM_PO1_AXXCNE20231125_020000_19900101_000000_20240523_000000</dd><dt><span>xref_dac_files :</span></dt><dd>SMM_MOG_AXPCNE20231124_074502_20231123_180000_20231123_180000, SMM_MOG_AXPCNE20231124_074502_20231124_000000_20231124_000000</dd><dt><span>xref_precipitation_files :</span></dt><dd>SMM_CRR_AXFCNE20231123_185541_20231123_180000_20231123_180000.grb, SMM_LSR_AXFCNE20231123_185541_20231123_180000_20231123_180000.grb, SMM_CRR_AXFCNE20231124_065600_20231124_000000_20231124_000000.grb, SMM_LSR_AXFCNE20231124_065600_20231124_000000_20231124_000000.grb</dd><dt><span>xref_sea_ice_mask_files :</span></dt><dd>SMM_ICN_AXFCNE20231124_051512_20231123_000000_20231123_235959.nc, SMM_ICS_AXFCNE20231124_052007_20231123_000000_20231123_235959.nc</dd><dt><span>xref_wave_model_files :</span></dt><dd>SMM_WMA_AXPCNE20231124_072014_20231123_030000_20231124_000000.grb</dd><dt><span>xref_geco_database_version :</span></dt><dd>v102</dd><dt><span>ellipsoid_semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>ellipsoid_flattening :</span></dt><dd>0.0033528106647474805</dd><dt><span>good_ocean_data_percent :</span></dt><dd>65.76645448005515</dd><dt><span>ssha_variance :</span></dt><dd>0.11614050683132866</dd><dt><span>references :</span></dt><dd>V1.2.1</dd><dt><span>equator_longitude :</span></dt><dd>-155.17</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 400MB\n",
       "Dimensions:                                (num_lines: 9866, num_pixels: 69,\n",
       "                                            num_sides: 2)\n",
       "Coordinates:\n",
       "    latitude                               (num_lines, num_pixels) float64 5MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
       "    longitude                              (num_lines, num_pixels) float64 5MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
       "    latitude_nadir                         (num_lines) float64 79kB dask.array<chunksize=(9866,), meta=np.ndarray>\n",
       "    longitude_nadir                        (num_lines) float64 79kB dask.array<chunksize=(9866,), meta=np.ndarray>\n",
       "Dimensions without coordinates: num_lines, num_pixels, num_sides\n",
       "Data variables: (12/98)\n",
       "    time                                   (num_lines) datetime64[ns] 79kB dask.array<chunksize=(9866,), meta=np.ndarray>\n",
       "    time_tai                               (num_lines) datetime64[ns] 79kB dask.array<chunksize=(9866,), meta=np.ndarray>\n",
       "    ssh_karin                              (num_lines, num_pixels) float64 5MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
       "    ssh_karin_qual                         (num_lines, num_pixels) float64 5MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
       "    ssh_karin_uncert                       (num_lines, num_pixels) float64 5MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
       "    ssha_karin                             (num_lines, num_pixels) float64 5MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
       "    ...                                     ...\n",
       "    swh_ssb_cor_source                     (num_lines, num_pixels) float32 3MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
       "    swh_ssb_cor_source_2                   (num_lines, num_pixels) float32 3MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
       "    wind_speed_ssb_cor_source              (num_lines, num_pixels) float32 3MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
       "    wind_speed_ssb_cor_source_2            (num_lines, num_pixels) float32 3MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
       "    volumetric_correlation                 (num_lines, num_pixels) float64 5MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
       "    volumetric_correlation_uncert          (num_lines, num_pixels) float64 5MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
       "Attributes: (12/62)\n",
       "    Conventions:                                   CF-1.7\n",
       "    title:                                         Level 2 Low Rate Sea Surfa...\n",
       "    institution:                                   CNES\n",
       "    source:                                        Ka-band radar interferometer\n",
       "    history:                                       2023-11-25T21:23:38Z : Cre...\n",
       "    platform:                                      SWOT\n",
       "    ...                                            ...\n",
       "    ellipsoid_semi_major_axis:                     6378137.0\n",
       "    ellipsoid_flattening:                          0.0033528106647474805\n",
       "    good_ocean_data_percent:                       65.76645448005515\n",
       "    ssha_variance:                                 0.11614050683132866\n",
       "    references:                                    V1.2.1\n",
       "    equator_longitude:                             -155.17"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds = xr.open_mfdataset(\"./SWOT_L2_LR_SSH_Expert*.nc\")\n",
    "display(ds)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Use the SSH_L2 class in defined in swot_ssh_utils.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
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       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 25MB\n",
       "Dimensions:                                (num_lines: 626, num_pixels: 69,\n",
       "                                            num_sides: 2)\n",
       "Coordinates:\n",
       "    latitude_nadir                         (num_lines) float64 5kB 33.01 ... ...\n",
       "    longitude_nadir                        (num_lines) float64 5kB 210.6 ... ...\n",
       "    latitude                               (num_lines, num_pixels) float64 346kB ...\n",
       "    longitude                              (num_lines, num_pixels) float64 346kB ...\n",
       "Dimensions without coordinates: num_lines, num_pixels, num_sides\n",
       "Data variables: (12/98)\n",
       "    time                                   (num_lines) datetime64[ns] 5kB ...\n",
       "    time_tai                               (num_lines) datetime64[ns] 5kB ...\n",
       "    ssh_karin                              (num_lines, num_pixels) float64 346kB ...\n",
       "    ssh_karin_qual                         (num_lines, num_pixels) float64 346kB ...\n",
       "    ssh_karin_uncert                       (num_lines, num_pixels) float64 346kB ...\n",
       "    ssha_karin                             (num_lines, num_pixels) float64 346kB ...\n",
       "    ...                                     ...\n",
       "    swh_ssb_cor_source                     (num_lines, num_pixels) float32 173kB ...\n",
       "    swh_ssb_cor_source_2                   (num_lines, num_pixels) float32 173kB ...\n",
       "    wind_speed_ssb_cor_source              (num_lines, num_pixels) float32 173kB ...\n",
       "    wind_speed_ssb_cor_source_2            (num_lines, num_pixels) float32 173kB ...\n",
       "    volumetric_correlation                 (num_lines, num_pixels) float64 346kB ...\n",
       "    volumetric_correlation_uncert          (num_lines, num_pixels) float64 346kB ...\n",
       "Attributes: (12/62)\n",
       "    Conventions:                                   CF-1.7\n",
       "    title:                                         Level 2 Low Rate Sea Surfa...\n",
       "    institution:                                   CNES\n",
       "    source:                                        Ka-band radar interferometer\n",
       "    history:                                       2023-11-25T21:23:38Z : Cre...\n",
       "    platform:                                      SWOT\n",
       "    ...                                            ...\n",
       "    ellipsoid_semi_major_axis:                     6378137.0\n",
       "    ellipsoid_flattening:                          0.0033528106647474805\n",
       "    good_ocean_data_percent:                       65.76645448005515\n",
       "    ssha_variance:                                 0.11614050683132866\n",
       "    references:                                    V1.2.1\n",
       "    equator_longitude:                             -155.17</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5272ceb8-551a-4224-909c-c02c75b43dcc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5272ceb8-551a-4224-909c-c02c75b43dcc' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>num_lines</span>: 626</li><li><span>num_pixels</span>: 69</li><li><span>num_sides</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2f4eb7ee-cddb-421f-9eb6-e208793ee01e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2f4eb7ee-cddb-421f-9eb6-e208793ee01e' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>latitude_nadir</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>33.01 33.03 33.05 ... 43.97 43.99</div><input id='attrs-c2d05502-ef66-49fd-bf3c-74d8f2197ddb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c2d05502-ef66-49fd-bf3c-74d8f2197ddb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e60caa3c-6f07-4c8e-aa26-1f388f1115a6' class='xr-var-data-in' type='checkbox'><label for='data-e60caa3c-6f07-4c8e-aa26-1f388f1115a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude of satellite nadir point</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>quality_flag :</span></dt><dd>orbit_qual</dd><dt><span>valid_min :</span></dt><dd>-80000000</dd><dt><span>valid_max :</span></dt><dd>80000000</dd><dt><span>comment :</span></dt><dd>Geodetic latitude [-80,80] (degrees north of equator) of the satellite nadir point.</dd></dl></div><div class='xr-var-data'><pre>array([33.009693, 33.027367, 33.045044, 33.062721, 33.080394, 33.098073,\n",
       "       33.115745, 33.133423, 33.151096, 33.16877 , 33.186446, 33.204118,\n",
       "       33.221798, 33.23947 , 33.257144, 33.274816, 33.292487, 33.310162,\n",
       "       33.32783 , 33.345505, 33.363173, 33.380846, 33.398516, 33.416186,\n",
       "       33.433863, 33.451529, 33.469202, 33.486869, 33.504538, 33.522208,\n",
       "       33.539873, 33.557545, 33.575209, 33.592879, 33.610544, 33.628213,\n",
       "       33.645885, 33.663548, 33.681217, 33.698879, 33.716547, 33.734211,\n",
       "       33.751875, 33.769541, 33.787203, 33.804869, 33.82253 , 33.840198,\n",
       "       33.857863, 33.875524, 33.893189, 33.910848, 33.928513, 33.946172,\n",
       "       33.963834, 33.981495, 33.999154, 34.016817, 34.034474, 34.052134,\n",
       "       34.069791, 34.08745 , 34.10511 , 34.122766, 34.140427, 34.158082,\n",
       "       34.175741, 34.193398, 34.211054, 34.228713, 34.246365, 34.264014,\n",
       "       34.281664, 34.299322, 34.316977, 34.33463 , 34.352287, 34.369938,\n",
       "       34.387595, 34.405247, 34.422901, 34.440555, 34.458204, 34.475855,\n",
       "       34.493503, 34.511158, 34.528808, 34.546459, 34.564111, 34.581759,\n",
       "       34.599412, 34.617059, 34.63471 , 34.65236 , 34.670002, 34.687642,\n",
       "       34.705288, 34.722939, 34.740584, 34.758234, 34.77588 , 34.793526,\n",
       "       34.811174, 34.828818, 34.846467, 34.864109, 34.881772, 34.899432,\n",
       "       34.917073, 34.934721, 34.952362, 34.970008, 34.98765 , 35.005293,\n",
       "       35.022938, 35.040576, 35.058223, 35.075861, 35.093479, 35.111105,\n",
       "...\n",
       "       41.981396, 41.998889, 42.016376, 42.033865, 42.051352, 42.068841,\n",
       "       42.086327, 42.103814, 42.121299, 42.138788, 42.156299, 42.173791,\n",
       "       42.191272, 42.208757, 42.226239, 42.243723, 42.261204, 42.278687,\n",
       "       42.296167, 42.313649, 42.331127, 42.348612, 42.36611 , 42.38359 ,\n",
       "       42.401068, 42.418546, 42.436023, 42.4535  , 42.470975, 42.488453,\n",
       "       42.505927, 42.523402, 42.540877, 42.558348, 42.575818, 42.593289,\n",
       "       42.610763, 42.628233, 42.645705, 42.663176, 42.680645, 42.698117,\n",
       "       42.715584, 42.733054, 42.750523, 42.767982, 42.78544 , 42.802907,\n",
       "       42.820375, 42.837839, 42.855305, 42.87277 , 42.890233, 42.907698,\n",
       "       42.92516 , 42.942624, 42.960086, 42.977528, 42.994975, 43.012438,\n",
       "       43.029898, 43.047357, 43.064818, 43.082275, 43.099734, 43.117192,\n",
       "       43.134648, 43.152107, 43.16956 , 43.186994, 43.204438, 43.221896,\n",
       "       43.239349, 43.256802, 43.274257, 43.291708, 43.309161, 43.326613,\n",
       "       43.344062, 43.361516, 43.378959, 43.396383, 43.413824, 43.431276,\n",
       "       43.448722, 43.46617 , 43.483618, 43.501063, 43.518511, 43.535956,\n",
       "       43.5534  , 43.570848, 43.58828 , 43.605697, 43.623135, 43.640581,\n",
       "       43.65802 , 43.675462, 43.692903, 43.710343, 43.727784, 43.745222,\n",
       "       43.762661, 43.7801  , 43.797533, 43.814965, 43.8324  , 43.849838,\n",
       "       43.867272, 43.884708, 43.902142, 43.919575, 43.93701 , 43.954442,\n",
       "       43.971875, 43.989308])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude_nadir</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>210.6 210.6 210.6 ... 213.8 213.8</div><input id='attrs-c27457fd-a1b7-4a64-abe4-8e3824d78110' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c27457fd-a1b7-4a64-abe4-8e3824d78110' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-324e3c38-5966-478e-95fa-3c1601578bd4' class='xr-var-data-in' type='checkbox'><label for='data-324e3c38-5966-478e-95fa-3c1601578bd4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude of satellite nadir point</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>quality_flag :</span></dt><dd>orbit_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>359999999</dd><dt><span>comment :</span></dt><dd>Longitude (degrees east of Grenwich meridian) of the satellite nadir point.</dd></dl></div><div class='xr-var-data'><pre>array([210.560719, 210.564957, 210.569198, 210.573442, 210.577687,\n",
       "       210.581936, 210.586185, 210.590438, 210.594693, 210.59895 ,\n",
       "       210.603209, 210.60747 , 210.611735, 210.616001, 210.620269,\n",
       "       210.624539, 210.628811, 210.633087, 210.637363, 210.641643,\n",
       "       210.645924, 210.650208, 210.654494, 210.658782, 210.663075,\n",
       "       210.667367, 210.671662, 210.675959, 210.680259, 210.684561,\n",
       "       210.688865, 210.693172, 210.69748 , 210.701792, 210.706105,\n",
       "       210.710421, 210.71474 , 210.71906 , 210.723383, 210.727707,\n",
       "       210.732035, 210.736364, 210.740696, 210.74503 , 210.749366,\n",
       "       210.753705, 210.758046, 210.76239 , 210.766737, 210.771084,\n",
       "       210.775435, 210.779787, 210.784143, 210.7885  , 210.792859,\n",
       "       210.797222, 210.801585, 210.805953, 210.810321, 210.814693,\n",
       "       210.819066, 210.823442, 210.827821, 210.832201, 210.836585,\n",
       "       210.84097 , 210.845358, 210.849748, 210.854141, 210.858537,\n",
       "       210.862933, 210.867331, 210.871732, 210.876137, 210.880544,\n",
       "       210.884953, 210.889365, 210.893779, 210.898196, 210.902615,\n",
       "       210.907036, 210.91146 , 210.915885, 210.920314, 210.924744,\n",
       "       210.929178, 210.933613, 210.938052, 210.942493, 210.946935,\n",
       "       210.951382, 210.955829, 210.96028 , 210.964733, 210.969186,\n",
       "       210.973642, 210.978101, 210.982565, 210.987029, 210.991497,\n",
       "...\n",
       "       213.185891, 213.191715, 213.197547, 213.203377, 213.20921 ,\n",
       "       213.215048, 213.22089 , 213.226735, 213.232585, 213.238439,\n",
       "       213.244296, 213.250157, 213.256023, 213.261891, 213.267764,\n",
       "       213.273641, 213.279523, 213.285408, 213.291298, 213.297191,\n",
       "       213.303089, 213.308991, 213.314896, 213.320806, 213.32672 ,\n",
       "       213.332635, 213.338553, 213.344479, 213.35041 , 213.356343,\n",
       "       213.362282, 213.368224, 213.37417 , 213.380121, 213.386075,\n",
       "       213.392034, 213.397997, 213.403957, 213.409922, 213.415898,\n",
       "       213.421878, 213.42786 , 213.433848, 213.43984 , 213.445835,\n",
       "       213.451836, 213.457839, 213.463848, 213.469859, 213.475868,\n",
       "       213.481885, 213.487911, 213.49394 , 213.499973, 213.506011,\n",
       "       213.512052, 213.518098, 213.524148, 213.530202, 213.536262,\n",
       "       213.542322, 213.54838 , 213.554448, 213.560525, 213.566604,\n",
       "       213.572688, 213.578776, 213.584868, 213.590965, 213.597066,\n",
       "       213.603171, 213.609282, 213.615391, 213.6215  , 213.62762 ,\n",
       "       213.633748, 213.639878, 213.646014, 213.652153, 213.658297,\n",
       "       213.664446, 213.670598, 213.676755, 213.682916, 213.68908 ,\n",
       "       213.695248, 213.701422, 213.707601, 213.713783, 213.719971,\n",
       "       213.726162, 213.732358, 213.738559, 213.744763, 213.750973,\n",
       "       213.757187])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>33.13 33.12 33.12 ... 43.84 43.83</div><input id='attrs-d0957dc9-0c9f-48f8-b2fe-c710a39992a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0957dc9-0c9f-48f8-b2fe-c710a39992a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-097662d5-c467-412f-9f1d-9fe3298cfe27' class='xr-var-data-in' type='checkbox'><label for='data-097662d5-c467-412f-9f1d-9fe3298cfe27' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude (positive N, negative S)</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_min :</span></dt><dd>-80000000</dd><dt><span>valid_max :</span></dt><dd>80000000</dd><dt><span>comment :</span></dt><dd>Latitude of measurement [-80,80]. Positive latitude is North latitude, negative latitude is South latitude.</dd></dl></div><div class='xr-var-data'><pre>array([[33.127165, 33.12371 , 33.120252, ..., 32.891569, 32.887881,\n",
       "        32.88419 ],\n",
       "       [33.144878, 33.141422, 33.137962, ..., 32.909206, 32.905518,\n",
       "        32.901825],\n",
       "       [33.16259 , 33.159133, 33.155673, ..., 32.926844, 32.923154,\n",
       "        32.91946 ],\n",
       "       ...,\n",
       "       [44.101058, 44.096742, 44.092421, ..., 43.805245, 43.800593,\n",
       "        43.795936],\n",
       "       [44.11855 , 44.114233, 44.10991 , ..., 43.822615, 43.817961,\n",
       "        43.813302],\n",
       "       [44.136042, 44.131723, 44.127398, ..., 43.839985, 43.835329,\n",
       "        43.830668]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>209.9 209.9 209.9 ... 214.6 214.6</div><input id='attrs-9f1be395-5c65-41ad-a85a-6a08191cb7e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f1be395-5c65-41ad-a85a-6a08191cb7e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8b22cff-ece4-4a05-b301-43107b2afe55' class='xr-var-data-in' type='checkbox'><label for='data-f8b22cff-ece4-4a05-b301-43107b2afe55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude (degrees East)</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>359999999</dd><dt><span>comment :</span></dt><dd>Longitude of measurement. East longitude relative to Greenwich meridian.</dd></dl></div><div class='xr-var-data'><pre>array([[209.857749, 209.878783, 209.899816, ..., 211.24243 , 211.263353,\n",
       "        211.284274],\n",
       "       [209.861859, 209.882897, 209.903934, ..., 211.246799, 211.267726,\n",
       "        211.288651],\n",
       "       [209.865971, 209.887014, 209.908055, ..., 211.25117 , 211.2721  ,\n",
       "        211.293029],\n",
       "       ...,\n",
       "       [212.937299, 212.961548, 212.985793, ..., 214.53    , 214.554009,\n",
       "        214.578015],\n",
       "       [212.943296, 212.967551, 212.991802, ..., 214.536418, 214.560434,\n",
       "        214.584446],\n",
       "       [212.949296, 212.973558, 212.997816, ..., 214.542841, 214.566863,\n",
       "        214.590881]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4fdcb671-a5d8-4788-accd-358e2354ce33' class='xr-section-summary-in' type='checkbox'  ><label for='section-4fdcb671-a5d8-4788-accd-358e2354ce33' class='xr-section-summary' >Data variables: <span>(98)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8f388d1c-ef6a-43d6-9c7e-e0d8f74178c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f388d1c-ef6a-43d6-9c7e-e0d8f74178c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36056b1c-5a58-446c-a618-ff6778544123' class='xr-var-data-in' type='checkbox'><label for='data-36056b1c-5a58-446c-a618-ff6778544123' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time in UTC</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>tai_utc_difference :</span></dt><dd>37.0</dd><dt><span>leap_second :</span></dt><dd>0000-00-00T00:00:00Z</dd><dt><span>comment :</span></dt><dd>Time of measurement in seconds in the UTC time scale since 1 Jan 2000 00:00:00 UTC. [tai_utc_difference] is the difference between TAI and UTC reference time (seconds) for the first measurement of the data set. If a leap second occurs within the data set, the attribute leap_second is set to the UTC time at which the leap second occurs.</dd></dl></div><div class='xr-var-data'><pre>[626 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_tai</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-85f94ca6-2ff3-4ccd-a9da-56e3522ed635' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85f94ca6-2ff3-4ccd-a9da-56e3522ed635' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3d72179-5615-4d30-a3e9-1500d825043d' class='xr-var-data-in' type='checkbox'><label for='data-c3d72179-5615-4d30-a3e9-1500d825043d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time in TAI</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>tai_utc_difference :</span></dt><dd>37.0</dd><dt><span>comment :</span></dt><dd>Time of measurement in seconds in the TAI time scale since 1 Jan 2000 00:00:00 TAI. This time scale contains no leap seconds. The difference (in seconds) with time in UTC is given by the attribute [time:tai_utc_difference].</dd></dl></div><div class='xr-var-data'><pre>[626 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssh_karin</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5a2c9e29-ed3e-482d-b5c4-2ee106db43fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a2c9e29-ed3e-482d-b5c4-2ee106db43fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3c6577e-445a-4608-a47d-7eee8362b359' class='xr-var-data-in' type='checkbox'><label for='data-c3c6577e-445a-4608-a47d-7eee8362b359' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height</dd><dt><span>standard_name :</span></dt><dd>sea surface height above reference ellipsoid</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_qual</dd><dt><span>valid_min :</span></dt><dd>-15000000</dd><dt><span>valid_max :</span></dt><dd>150000000</dd><dt><span>comment :</span></dt><dd>Fully corrected sea surface height measured by KaRIn. The height is relative to the reference ellipsoid defined in the global attributes. This value is computed using radiometer measurements for wet troposphere effects on the KaRIn measurement (e.g., rad_wet_tropo_cor and sea_state_bias_cor).</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssh_karin_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d9a55a8e-16d9-4d66-bb4b-7635970125ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9a55a8e-16d9-4d66-bb4b-7635970125ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-728e90ac-5d76-4edd-9ff3-e9ad7f802fdc' class='xr-var-data-in' type='checkbox'><label for='data-728e90ac-5d76-4edd-9ff3-e9ad7f802fdc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for sea surface height from KaRIn</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_large_ssh_delta suspect_large_ssh_std suspect_large_ssh_window_std suspect_beam_used suspect_less_than_nine_beams suspect_ssb_out_of_range suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_ssb_not_computable degraded_media_delays_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_ssb_missing bad_radiometer_corr_missing bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         1          2          4          8         16         64\n",
       "        128        256        512       1024       2048       4096\n",
       "       8192      32768      65536     131072     262144     524288\n",
       "   16777216   33554432  134217728  268435456  536870912 1073741824\n",
       " 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>4212113375</dd><dt><span>comment :</span></dt><dd>Quality flag for sea surface height from KaRIn in ssh_karin variable.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssh_karin_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-584825c8-5bb3-4935-b7da-cf2091602477' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-584825c8-5bb3-4935-b7da-cf2091602477' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f26c6ad5-15c5-49a9-b932-9ba7f11a8979' class='xr-var-data-in' type='checkbox'><label for='data-f26c6ad5-15c5-49a9-b932-9ba7f11a8979' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height anomaly uncertainty</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>60000</dd><dt><span>comment :</span></dt><dd>1-sigma uncertainty on the sea surface height from the KaRIn measurement.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssha_karin</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c7699ffb-f063-432e-9e6e-080284341608' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c7699ffb-f063-432e-9e6e-080284341608' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2c8c20a-ecca-4315-82f9-d586ec4502f2' class='xr-var-data-in' type='checkbox'><label for='data-c2c8c20a-ecca-4315-82f9-d586ec4502f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height anomaly</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssha_karin_qual</dd><dt><span>valid_min :</span></dt><dd>-1000000</dd><dt><span>valid_max :</span></dt><dd>1000000</dd><dt><span>comment :</span></dt><dd>Sea surface height anomaly from the KaRIn measurement = ssh_karin - mean_sea_surface_cnescls - solid_earth_tide - ocean_tide_fes – internal_tide_hret - pole_tide - dac.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssha_karin_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2af1a8b0-5005-474a-a994-04ea8eed05c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2af1a8b0-5005-474a-a994-04ea8eed05c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f9755c8-6e50-4a43-adf9-1dd7ab24e9dd' class='xr-var-data-in' type='checkbox'><label for='data-1f9755c8-6e50-4a43-adf9-1dd7ab24e9dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height anomaly quality flag</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_large_ssh_delta suspect_large_ssh_std suspect_large_ssh_window_std suspect_beam_used suspect_less_than_nine_beams suspect_ssb_out_of_range suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_ssb_not_computable degraded_media_delays_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_tide_corrections_missing bad_ssb_missing bad_radiometer_corr_missing bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         1          2          4          8         16         64\n",
       "        128        256        512       1024       2048       4096\n",
       "       8192      32768      65536     131072     262144     524288\n",
       "   16777216   33554432   67108864  134217728  268435456  536870912\n",
       " 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>4279222239</dd><dt><span>comment :</span></dt><dd>Quality flag for the SSHA from KaRIn in the ssha_karin variable.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssh_karin_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-18b3cb01-ddbb-45b7-82c1-763c6080ca1c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18b3cb01-ddbb-45b7-82c1-763c6080ca1c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ff5b7c2-dca5-4392-af46-4ccea3d83f83' class='xr-var-data-in' type='checkbox'><label for='data-1ff5b7c2-dca5-4392-af46-4ccea3d83f83' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height</dd><dt><span>standard_name :</span></dt><dd>sea surface height above reference ellipsoid</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>-15000000</dd><dt><span>valid_max :</span></dt><dd>150000000</dd><dt><span>comment :</span></dt><dd>Fully corrected sea surface height measured by KaRIn. The height is relative to the reference ellipsoid defined in the global attributes. This value is computed using model-based estimates for wet troposphere effects on the KaRIn measurement (e.g., model_wet_tropo_cor and sea_state_bias_cor_2).</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssh_karin_2_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-22176f28-e0d8-4193-b039-86e384b552b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22176f28-e0d8-4193-b039-86e384b552b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63bc2044-2578-4036-98ed-636723ca8c86' class='xr-var-data-in' type='checkbox'><label for='data-63bc2044-2578-4036-98ed-636723ca8c86' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for sea surface height from KaRIn</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_large_ssh_delta suspect_large_ssh_std suspect_large_ssh_window_std suspect_beam_used suspect_less_than_nine_beams suspect_ssb_out_of_range suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_ssb_not_computable degraded_media_delays_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         1          2          4          8         16         64\n",
       "        128        256        512       1024       2048       4096\n",
       "       8192      32768      65536     131072     262144     524288\n",
       "   16777216   33554432  536870912 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>3809460191</dd><dt><span>comment :</span></dt><dd>Quality flag for sea surface height from KaRIn in ssh_karin_2 variable.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssha_karin_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-41ded9ba-52ab-4675-a362-fe69faf02010' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41ded9ba-52ab-4675-a362-fe69faf02010' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fa2a671-3d2d-4302-b679-b5c662ee08c1' class='xr-var-data-in' type='checkbox'><label for='data-3fa2a671-3d2d-4302-b679-b5c662ee08c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height anomaly</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssha_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>-1000000</dd><dt><span>valid_max :</span></dt><dd>1000000</dd><dt><span>comment :</span></dt><dd>Sea surface height anomaly from the KaRIn measurement = ssh_karin_2 - mean_sea_surface_cnescls - solid_earth_tide - ocean_tide_fes – internal_tide_hret - pole_tide - dac.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssha_karin_2_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dcd52e2e-3ccf-4d62-b4b7-356c3f6b72d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dcd52e2e-3ccf-4d62-b4b7-356c3f6b72d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee25ae6d-ac7a-42aa-8471-4183fec7304c' class='xr-var-data-in' type='checkbox'><label for='data-ee25ae6d-ac7a-42aa-8471-4183fec7304c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height anomaly quality flag</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_large_ssh_delta suspect_large_ssh_std suspect_large_ssh_window_std suspect_beam_used suspect_less_than_nine_beams suspect_ssb_out_of_range suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_ssb_not_computable degraded_media_delays_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_tide_corrections_missing bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         1          2          4          8         16         64\n",
       "        128        256        512       1024       2048       4096\n",
       "       8192      32768      65536     131072     262144     524288\n",
       "   16777216   33554432   67108864  536870912 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>3876569055</dd><dt><span>comment :</span></dt><dd>Quality flag for the SSHA from KaRIn in the ssha_karin_2 variable</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>polarization_karin</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-19ba8a8f-89dc-4311-aade-f3f8a6218b6f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-19ba8a8f-89dc-4311-aade-f3f8a6218b6f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-141c7ba2-cbc2-40ce-bc64-e57e74ff5251' class='xr-var-data-in' type='checkbox'><label for='data-141c7ba2-cbc2-40ce-bc64-e57e74ff5251' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>polarization for each side of the KaRIn swath</dd><dt><span>comment :</span></dt><dd>H denotes co-polarized linear horizontal, V denotes co-polarized linear vertical.</dd></dl></div><div class='xr-var-data'><pre>[1252 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_karin</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1fd7c979-8058-44df-850b-d059a820d825' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1fd7c979-8058-44df-850b-d059a820d825' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4eef6206-009f-40da-8e13-906e0771102f' class='xr-var-data-in' type='checkbox'><label for='data-4eef6206-009f-40da-8e13-906e0771102f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>significant wave height from KaRIn</dd><dt><span>standard_name :</span></dt><dd>sea_surface_wave_significant_height</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>swh_karin_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>15000</dd><dt><span>comment :</span></dt><dd>Significant wave height from KaRIn volumetric correlation.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_karin_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c78f362b-f6c7-4a7c-b8d6-da4120b6dc38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c78f362b-f6c7-4a7c-b8d6-da4120b6dc38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62edeb94-3cf8-42d9-a527-70ee82528976' class='xr-var-data-in' type='checkbox'><label for='data-62edeb94-3cf8-42d9-a527-70ee82528976' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for significant wave height from KaRIn.</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_beam_used suspect_less_than_nine_beams suspect_rain_likely suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         8         16         32        128        256        512\n",
       "       1024       2048       4096       8192     131072     262144\n",
       "     524288   16777216   33554432  536870912 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>3809361848</dd><dt><span>comment :</span></dt><dd>Quality flag for significant wave height from KaRIn in swh_karin_qual variable.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_karin_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3587fb4c-af74-4e83-9b55-613fb2a738c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3587fb4c-af74-4e83-9b55-613fb2a738c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34a167cc-e6ba-4102-9e6a-4650a34ce524' class='xr-var-data-in' type='checkbox'><label for='data-34a167cc-e6ba-4102-9e6a-4650a34ce524' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>1-sigma uncertainty on significant wave height from KaRIn</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>25000</dd><dt><span>comment :</span></dt><dd>1-sigma uncertainty on significant wave height from KaRIn.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_karin</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ada654f9-c812-494a-a08f-c3c8ce0ae4cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ada654f9-c812-494a-a08f-c3c8ce0ae4cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ccd89c3-3fa2-491d-8e9c-0109bfd8a4b7' class='xr-var-data-in' type='checkbox'><label for='data-2ccd89c3-3fa2-491d-8e9c-0109bfd8a4b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>normalized radar cross section (sigma0) from KaRIn</dd><dt><span>standard_name :</span></dt><dd>surface_backwards_scattering_coefficient_of_radar_wave</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>quality_flag :</span></dt><dd>sig0_karin_qual</dd><dt><span>valid_min :</span></dt><dd>-1000.0</dd><dt><span>valid_max :</span></dt><dd>10000000.0</dd><dt><span>comment :</span></dt><dd>Normalized radar cross section (sigma0) from KaRIn in real, linear units (not decibels).  The value may be negative due to noise subtraction.  The value is corrected for instrument calibration and atmospheric attenuation. Radiometer measurements provide the atmospheric attenuation (sig0_cor_atmos_rad).</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_karin_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0002bf69-7661-41d1-ac73-693190bc376c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0002bf69-7661-41d1-ac73-693190bc376c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97d9a6c2-ca03-4a8a-a72d-a8064160816f' class='xr-var-data-in' type='checkbox'><label for='data-97d9a6c2-ca03-4a8a-a72d-a8064160816f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for sigma0 from KaRIn.</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_large_nrcs_delta suspect_large_nrcs_std suspect_large_nrcs_window_std suspect_beam_used suspect_less_than_nine_beams suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_media_attenuation_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_radiometer_media_attenuation_missing bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         1          2          4          8         16        128\n",
       "        256        512       1024       2048       4096       8192\n",
       "      65536     131072     262144     524288   16777216   33554432\n",
       "  268435456  536870912 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>4077862815</dd><dt><span>comment :</span></dt><dd>Quality flag for sigma0 from KaRIn in sig0_karin_qual variable.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_karin_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cc92070b-5125-4a15-a386-ef94d79c16e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc92070b-5125-4a15-a386-ef94d79c16e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3bec4bbb-67d0-43fb-9f69-dfd46203138a' class='xr-var-data-in' type='checkbox'><label for='data-3bec4bbb-67d0-43fb-9f69-dfd46203138a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>1-sigma uncertainty on sigma0 from KaRIn</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>valid_max :</span></dt><dd>1000.0</dd><dt><span>comment :</span></dt><dd>1-sigma uncertainty on sigma0 from KaRIn.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_karin_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-65c83f51-59d3-4fe6-ae75-857e76a56fd5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65c83f51-59d3-4fe6-ae75-857e76a56fd5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0eb1d46c-28e2-42db-93cc-8b8881733672' class='xr-var-data-in' type='checkbox'><label for='data-0eb1d46c-28e2-42db-93cc-8b8881733672' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>normalized radar cross section (sigma0) from KaRIn</dd><dt><span>standard_name :</span></dt><dd>surface_backwards_scattering_coefficient_of_radar_wave</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>quality_flag :</span></dt><dd>sig0_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>-1000.0</dd><dt><span>valid_max :</span></dt><dd>10000000.0</dd><dt><span>comment :</span></dt><dd>Normalized radar cross section (sigma0) from KaRIn in real, linear units (not decibels).  The value may be negative due to noise subtraction.  The value is corrected for instrument calibration and atmospheric attenuation. A meteorological model provides the atmospheric attenuation (sig0_cor_atmos_model).</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_karin_2_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b4fe2b66-6d66-4870-b5b5-c247b3ccbb52' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4fe2b66-6d66-4870-b5b5-c247b3ccbb52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c887a0a6-4b72-456a-bdcd-a876b6541188' class='xr-var-data-in' type='checkbox'><label for='data-c887a0a6-4b72-456a-bdcd-a876b6541188' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for sigma0 from KaRIn.</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_large_nrcs_delta suspect_large_nrcs_std suspect_large_nrcs_window_std suspect_beam_used suspect_less_than_nine_beams suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_media_attenuation_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         1          2          4          8         16        128\n",
       "        256        512       1024       2048       4096       8192\n",
       "      65536     131072     262144     524288   16777216   33554432\n",
       "  536870912 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>3809427359</dd><dt><span>comment :</span></dt><dd>Quality flag for sigma0 from KaRIn in sig0_karin_2 variable.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_karin</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-58230ef7-38d8-4b7b-a4a6-14b6136c1273' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58230ef7-38d8-4b7b-a4a6-14b6136c1273' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-997bee41-7ff1-46ed-9f73-7ff2f7f57fdd' class='xr-var-data-in' type='checkbox'><label for='data-997bee41-7ff1-46ed-9f73-7ff2f7f57fdd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wind speed from KaRIn</dd><dt><span>standard_name :</span></dt><dd>wind_speed</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>quality_flag :</span></dt><dd>wind_speed_karin_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>65000</dd><dt><span>comment :</span></dt><dd>Wind speed from KaRIn computed from sig0_karin.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_karin_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ac36e9e3-2d11-4696-8eeb-a86eb953edce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac36e9e3-2d11-4696-8eeb-a86eb953edce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-342fd25d-6e1e-412d-9b17-fe7cdbd7f8af' class='xr-var-data-in' type='checkbox'><label for='data-342fd25d-6e1e-412d-9b17-fe7cdbd7f8af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for wind speed from KaRIn.</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_beam_used suspect_less_than_nine_beams suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_media_attenuation_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_radiometer_media_attenuation_missing bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         8         16        128        256        512       1024\n",
       "       2048       4096       8192      65536     131072     262144\n",
       "     524288   16777216   33554432  268435456  536870912 1073741824\n",
       " 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>4077862808</dd><dt><span>comment :</span></dt><dd>Quality flag for wind speed from KaRIn in wind_speed_karin variable.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_karin_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5be868fe-329c-4fea-a714-efc1d1f63e82' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5be868fe-329c-4fea-a714-efc1d1f63e82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81fcb5b9-f3b0-4639-b345-0db894d18fd5' class='xr-var-data-in' type='checkbox'><label for='data-81fcb5b9-f3b0-4639-b345-0db894d18fd5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wind speed from KaRIn</dd><dt><span>standard_name :</span></dt><dd>wind_speed</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>quality_flag :</span></dt><dd>wind_speed_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>65000</dd><dt><span>comment :</span></dt><dd>Wind speed from KaRIn computed from sig0_karin_2.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_karin_2_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3808ed82-473a-44e1-9e40-4b28dffe6db9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3808ed82-473a-44e1-9e40-4b28dffe6db9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ccff8ab7-ee3f-4c7e-98d9-77ee2ec541b1' class='xr-var-data-in' type='checkbox'><label for='data-ccff8ab7-ee3f-4c7e-98d9-77ee2ec541b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for wind speed from KaRIn.</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_beam_used suspect_less_than_nine_beams suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_media_attenuation_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         8         16        128        256        512       1024\n",
       "       2048       4096       8192      65536     131072     262144\n",
       "     524288   16777216   33554432  536870912 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>3809427352</dd><dt><span>comment :</span></dt><dd>Quality flag for wind speed from KaRIn in wind_speed_karin_2 variable.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>num_pt_avg</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5f301785-e10b-4756-836d-f7784e200f4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f301785-e10b-4756-836d-f7784e200f4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e6f2c10-a8c6-4d57-a702-fab598c02efe' class='xr-var-data-in' type='checkbox'><label for='data-8e6f2c10-a8c6-4d57-a702-fab598c02efe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of samples averaged</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>289</dd><dt><span>comment :</span></dt><dd>Number of native unsmoothed, beam-combined KaRIn samples averaged.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_wind_speed_karin_source</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d5d88268-4733-4559-a916-f5facca8b578' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5d88268-4733-4559-a916-f5facca8b578' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70e1542e-a662-41e0-ae85-1a9a30abcc03' class='xr-var-data-in' type='checkbox'><label for='data-70e1542e-a662-41e0-ae85-1a9a30abcc03' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>source flag for significant wave height information used to compute wind speed from KaRIn</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>nadir_altimeter karin model</dd><dt><span>flag_masks :</span></dt><dd>[1 2 4]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>7</dd><dt><span>comment :</span></dt><dd>Bit flag that indicates the source of significant wave height information that was used to compute the wind speed estimate from KaRIn data in wind_speed_karin.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_wind_speed_karin_source_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6a86961a-fecd-4aa9-923a-f43b24844ecb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a86961a-fecd-4aa9-923a-f43b24844ecb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-522b7c6c-dcac-406e-8925-206e684da4c4' class='xr-var-data-in' type='checkbox'><label for='data-522b7c6c-dcac-406e-8925-206e684da4c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>source flag for significant wave height information used to compute wind speed from KaRIn</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>nadir_altimeter karin model</dd><dt><span>flag_masks :</span></dt><dd>[1 2 4]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>7</dd><dt><span>comment :</span></dt><dd>Bit flag that indicates the source of significant wave height information that was used to compute the wind speed estimate from KaRIn data in wind_speed_karin_2.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_nadir_altimeter</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-92ce7c7d-8628-454e-bf1b-0f73e2241c29' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92ce7c7d-8628-454e-bf1b-0f73e2241c29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24abb3c5-b199-4a5a-8167-209a875a9c64' class='xr-var-data-in' type='checkbox'><label for='data-24abb3c5-b199-4a5a-8167-209a875a9c64' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>significant wave height from nadir altimeter</dd><dt><span>standard_name :</span></dt><dd>sea_surface_wave_significant_height</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>15000</dd><dt><span>comment :</span></dt><dd>Significant wave height from nadir altimeter.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_model</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c0a74efc-6e11-40ea-b898-44a8389a059f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0a74efc-6e11-40ea-b898-44a8389a059f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37ab8fe4-3559-4110-9f3b-f014d6f490d1' class='xr-var-data-in' type='checkbox'><label for='data-37ab8fe4-3559-4110-9f3b-f014d6f490d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>significant wave height from wave model</dd><dt><span>standard_name :</span></dt><dd>sea_surface_wave_significant_height</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>15000</dd><dt><span>comment :</span></dt><dd>Significant wave height from model.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_direction</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-27356d6b-a1de-4fad-8286-be5f9a0faaa3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27356d6b-a1de-4fad-8286-be5f9a0faaa3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f90de63-2034-4bec-a007-44358eaf6982' class='xr-var-data-in' type='checkbox'><label for='data-2f90de63-2034-4bec-a007-44358eaf6982' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean sea surface wave direction</dd><dt><span>source :</span></dt><dd>Meteo France Wave Model (MF-WAM)</dd><dt><span>institution :</span></dt><dd>Meteo France</dd><dt><span>units :</span></dt><dd>degree</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>36000</dd><dt><span>comment :</span></dt><dd>Mean sea surface wave direction.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_period_t02</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f22a441f-c085-4e16-aff0-2cfa5a72233e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f22a441f-c085-4e16-aff0-2cfa5a72233e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-531adfcc-6c7d-45ce-a929-0ca484feed2b' class='xr-var-data-in' type='checkbox'><label for='data-531adfcc-6c7d-45ce-a929-0ca484feed2b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>t02 mean wave period</dd><dt><span>standard_name :</span></dt><dd>sea_surface_wind_wave_mean_period_from_variance_spectral_density_second_frequency_moment</dd><dt><span>source :</span></dt><dd>Meteo France Wave Model (MF-WAM)</dd><dt><span>institution :</span></dt><dd>Meteo France</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Sea surface wind wave mean period from model spectral density second moment.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_model_u</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-839e4750-7355-4711-8796-0d5067388d50' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-839e4750-7355-4711-8796-0d5067388d50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e993a1da-549b-4852-9fba-1276e3253c79' class='xr-var-data-in' type='checkbox'><label for='data-e993a1da-549b-4852-9fba-1276e3253c79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>u component of model wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_min :</span></dt><dd>-30000</dd><dt><span>valid_max :</span></dt><dd>30000</dd><dt><span>comment :</span></dt><dd>Eastward component of the atmospheric model wind vector at 10 meters.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_model_v</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9f89528f-4bba-4d98-96ed-0288f8509a7f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f89528f-4bba-4d98-96ed-0288f8509a7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7213e616-f508-4ca8-b85d-a319f9ed9290' class='xr-var-data-in' type='checkbox'><label for='data-7213e616-f508-4ca8-b85d-a319f9ed9290' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>v component of model wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_min :</span></dt><dd>-30000</dd><dt><span>valid_max :</span></dt><dd>30000</dd><dt><span>comment :</span></dt><dd>Northward component of the atmospheric model wind vector at 10 meters.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_rad</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d0c37e2e-08a6-4728-9e08-afc1898c09f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0c37e2e-08a6-4728-9e08-afc1898c09f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f12d787-48bc-4db9-8c28-4a3cbddf007a' class='xr-var-data-in' type='checkbox'><label for='data-3f12d787-48bc-4db9-8c28-4a3cbddf007a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wind speed from radiometer</dd><dt><span>standard_name :</span></dt><dd>wind_speed</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>65000</dd><dt><span>comment :</span></dt><dd>Wind speed from radiometer measurements.</dd></dl></div><div class='xr-var-data'><pre>[1252 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>distance_to_coast</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-05fe9098-0f43-4e59-b9ae-becac6793598' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05fe9098-0f43-4e59-b9ae-becac6793598' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b311e029-f037-40fa-a25f-629d72b14811' class='xr-var-data-in' type='checkbox'><label for='data-b311e029-f037-40fa-a25f-629d72b14811' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>distance to coast</dd><dt><span>source :</span></dt><dd>MODIS/GlobCover</dd><dt><span>institution :</span></dt><dd>European Space Agency</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-21000</dd><dt><span>valid_max :</span></dt><dd>21000</dd><dt><span>comment :</span></dt><dd>Approximate distance to the nearest coast point along the Earth surface.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heading_to_coast</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-628685e6-9b67-4824-b0f9-c64829247d41' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-628685e6-9b67-4824-b0f9-c64829247d41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b0fa2b4-585d-4f7d-87b7-ab144d3f504f' class='xr-var-data-in' type='checkbox'><label for='data-9b0fa2b4-585d-4f7d-87b7-ab144d3f504f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>heading to coast</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>35999</dd><dt><span>comment :</span></dt><dd>Approximate compass heading (0-360 degrees with respect to true north) to the nearest coast point.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ancillary_surface_classification_flag</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-26b7003b-e51e-4daa-84ac-bbacfabbdfe1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-26b7003b-e51e-4daa-84ac-bbacfabbdfe1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc5fb7bb-1da0-45ea-92c2-980b3b0efb0a' class='xr-var-data-in' type='checkbox'><label for='data-bc5fb7bb-1da0-45ea-92c2-980b3b0efb0a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>surface classification</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>source :</span></dt><dd>MODIS/GlobCover</dd><dt><span>institution :</span></dt><dd>European Space Agency</dd><dt><span>flag_meanings :</span></dt><dd>open_ocean land continental_water aquatic_vegetation continental_ice_snow floating_ice salted_basin</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4 5 6]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>6</dd><dt><span>comment :</span></dt><dd>7-state surface type classification computed from a mask built with MODIS and GlobCover data.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dynamic_ice_flag</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-76d400c1-a7f3-4972-a29d-b7619195b2da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76d400c1-a7f3-4972-a29d-b7619195b2da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e58a47a-ea14-4df2-9068-bc014abdb962' class='xr-var-data-in' type='checkbox'><label for='data-3e58a47a-ea14-4df2-9068-bc014abdb962' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>dynamic ice flag</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>source :</span></dt><dd>EUMETSAT Ocean and Sea Ice Satellite Applications Facility</dd><dt><span>institution :</span></dt><dd>EUMETSAT</dd><dt><span>flag_meanings :</span></dt><dd>no_ice probable_ice ice no_data</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>3</dd><dt><span>comment :</span></dt><dd>Dynamic ice flag for the location of the KaRIn measurement.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rain_flag</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-caa9522e-2466-41b4-8102-00d6314fb993' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-caa9522e-2466-41b4-8102-00d6314fb993' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d24c1b1-4832-414f-8368-ef3713e22c6f' class='xr-var-data-in' type='checkbox'><label for='data-3d24c1b1-4832-414f-8368-ef3713e22c6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>rain flag</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>no_rain probable_rain rain no_data</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>3</dd><dt><span>comment :</span></dt><dd>Flag indicates that signal is attenuated, probably from rain.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_surface_type_flag</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3a0061ba-9bad-4102-b209-365f72fa1033' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a0061ba-9bad-4102-b209-365f72fa1033' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-073743a9-a43b-4fc8-a589-12937efb88f6' class='xr-var-data-in' type='checkbox'><label for='data-073743a9-a43b-4fc8-a589-12937efb88f6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radiometer surface type flag</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>flag_meanings :</span></dt><dd>open_ocean coastal_ocean land</dd><dt><span>flag_values :</span></dt><dd>[0 1 2]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2</dd><dt><span>comment :</span></dt><dd>Flag indicating the validity and type of processing applied to generate the wet troposphere correction (rad_wet_tropo_cor). A value of 0 indicates that open ocean processing is used, a value of 1 indicates coastal processing, and a value of 2 indicates that rad_wet_tropo_cor is invalid due to land contamination.</dd></dl></div><div class='xr-var-data'><pre>[1252 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sc_altitude</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-31b10099-79b7-448a-96d1-65ccd90bf7f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31b10099-79b7-448a-96d1-65ccd90bf7f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98c935db-ac8d-45c9-8d71-e38135f9df20' class='xr-var-data-in' type='checkbox'><label for='data-98c935db-ac8d-45c9-8d71-e38135f9df20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>altitude of KMSF origin</dd><dt><span>standard_name :</span></dt><dd>height_above_reference_ellipsoid</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>orbit_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2000000000</dd><dt><span>comment :</span></dt><dd>Altitude of the KMSF origin.</dd></dl></div><div class='xr-var-data'><pre>[626 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orbit_alt_rate</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-874c6ec9-f7be-449b-9ddb-d50f4a730a64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-874c6ec9-f7be-449b-9ddb-d50f4a730a64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ea152c9-a19c-44cb-b24e-57919a5f0212' class='xr-var-data-in' type='checkbox'><label for='data-2ea152c9-a19c-44cb-b24e-57919a5f0212' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>orbital altitude rate with respect to mean sea surface</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_min :</span></dt><dd>-3500</dd><dt><span>valid_max :</span></dt><dd>3500</dd><dt><span>comment :</span></dt><dd>Orbital altitude rate with respect to the mean sea surface.</dd></dl></div><div class='xr-var-data'><pre>[626 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cross_track_angle</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-04a2fae7-d970-4bde-b079-5e6a6d1584cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-04a2fae7-d970-4bde-b079-5e6a6d1584cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cde57107-d518-4cf6-8184-be5de44d8493' class='xr-var-data-in' type='checkbox'><label for='data-cde57107-d518-4cf6-8184-be5de44d8493' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>cross-track angle from true north</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>359999999</dd><dt><span>comment :</span></dt><dd>Angle with respect to true north of the cross-track direction to the right of the spacecraft velocity vector.</dd></dl></div><div class='xr-var-data'><pre>[626 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sc_roll</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-405b1887-f8ee-4ccb-9f8a-881ef63246a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-405b1887-f8ee-4ccb-9f8a-881ef63246a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e220f42-0098-4bf6-a1f0-37c931cb2136' class='xr-var-data-in' type='checkbox'><label for='data-5e220f42-0098-4bf6-a1f0-37c931cb2136' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>roll of the spacecraft</dd><dt><span>standard_name :</span></dt><dd>platform_roll_angle</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>quality_flag :</span></dt><dd>orbit_qual</dd><dt><span>valid_min :</span></dt><dd>-1799999</dd><dt><span>valid_max :</span></dt><dd>1800000</dd><dt><span>comment :</span></dt><dd>KMSF attitude roll angle; positive values move the +y antenna down.</dd></dl></div><div class='xr-var-data'><pre>[626 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sc_pitch</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-27bc1ff0-be11-4eda-a0ef-5256eac9f171' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27bc1ff0-be11-4eda-a0ef-5256eac9f171' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a791d1d3-3285-4440-ac28-7542c27ab7ac' class='xr-var-data-in' type='checkbox'><label for='data-a791d1d3-3285-4440-ac28-7542c27ab7ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pitch of the spacecraft</dd><dt><span>standard_name :</span></dt><dd>platform_pitch_angle</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>quality_flag :</span></dt><dd>orbit_qual</dd><dt><span>valid_min :</span></dt><dd>-1799999</dd><dt><span>valid_max :</span></dt><dd>1800000</dd><dt><span>comment :</span></dt><dd>KMSF attitude pitch angle; positive values move the KMSF +x axis up.</dd></dl></div><div class='xr-var-data'><pre>[626 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sc_yaw</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-17ebb66d-fab0-4609-8b28-816e55e43159' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-17ebb66d-fab0-4609-8b28-816e55e43159' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-629f9be5-b24e-402b-a0f6-5440f8baae2c' class='xr-var-data-in' type='checkbox'><label for='data-629f9be5-b24e-402b-a0f6-5440f8baae2c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>yaw of the spacecraft</dd><dt><span>standard_name :</span></dt><dd>platform_yaw_angle</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>quality_flag :</span></dt><dd>orbit_qual</dd><dt><span>valid_min :</span></dt><dd>-1799999</dd><dt><span>valid_max :</span></dt><dd>1800000</dd><dt><span>comment :</span></dt><dd>KMSF attitude yaw angle relative to the nadir track. The yaw angle is a right-handed rotation about the nadir (downward) direction. A yaw value of 0 deg indicates that the KMSF +x axis is aligned with the horizontal component of the Earth-relative velocity vector. A yaw value of 180 deg indicates that the spacecraft is in a yaw-flipped state, with the KMSF -x axis aligned with the horizontal component of the Earth-relative velocity vector.</dd></dl></div><div class='xr-var-data'><pre>[626 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velocity_heading</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c33ad481-1595-4fe0-bcef-f38f41709a2a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c33ad481-1595-4fe0-bcef-f38f41709a2a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4bc7b87d-150f-45a0-9c57-a482add4a15a' class='xr-var-data-in' type='checkbox'><label for='data-4bc7b87d-150f-45a0-9c57-a482add4a15a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>heading of the spacecraft Earth-relative velocity vector</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>quality_flag :</span></dt><dd>orbit_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>359999999</dd><dt><span>comment :</span></dt><dd>Angle with respect to true north of the horizontal component of the spacecraft Earth-relative velocity vector. A value of 90 deg indicates that the spacecraft velocity vector pointed due east. Values between 0 and 90 deg indicate that the velocity vector has a northward component, and values between 90 and 180 deg indicate that the velocity vector has a southward component.</dd></dl></div><div class='xr-var-data'><pre>[626 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orbit_qual</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-03809fff-5378-4666-ba14-c9a0404a32df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03809fff-5378-4666-ba14-c9a0404a32df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1fa9600-6e27-4647-b3ce-08a3c964b0fd' class='xr-var-data-in' type='checkbox'><label for='data-e1fa9600-6e27-4647-b3ce-08a3c964b0fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>orbit quality flag</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>good orbit_estimated_during_a_maneuver orbit_interpolated_over_data_gap orbit_extrapolated_for_a_duration_less_than_1_day orbit_extrapolated_for_a_duration_between_1_to_2_days orbit_extrapolated_for_a_duration_greater_than_2_days bad_attitude</dd><dt><span>flag_values :</span></dt><dd>[ 0  4  5  6  7  8 64]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>64</dd><dt><span>comment :</span></dt><dd>Flag indicating the quality of the reconstructed attitude and orbit ephemeris. A value of 0 indicates the reconstructed attitude and orbit ephemeris are both good. Non-zero values less than 64 indicate that the reconstructed attitude is good but there are issues that degrade the quality of the orbit ephemeris. A value of 64 indicates that the reconstructed attitude is degraded or bad.</dd></dl></div><div class='xr-var-data'><pre>[626 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude_avg_ssh</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-72317edb-1856-4eb3-8bb9-fd8d57c07287' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72317edb-1856-4eb3-8bb9-fd8d57c07287' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46775621-5501-4ef5-b70e-a2d6cf536d52' class='xr-var-data-in' type='checkbox'><label for='data-46775621-5501-4ef5-b70e-a2d6cf536d52' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>weighted average latitude of samples used to compute SSH</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_min :</span></dt><dd>-80000000</dd><dt><span>valid_max :</span></dt><dd>80000000</dd><dt><span>comment :</span></dt><dd>Latitude of measurement [-80,80]. Positive latitude is North latitude, negative latitude is South latitude.  This value may be biased away from a nominal grid location if some of the native, unsmoothed samples were discarded during processing.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude_avg_ssh</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eda26cd6-15ed-406f-bbf1-cc399ccd0189' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eda26cd6-15ed-406f-bbf1-cc399ccd0189' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc180098-d36f-48ef-aba4-c119848e8d17' class='xr-var-data-in' type='checkbox'><label for='data-bc180098-d36f-48ef-aba4-c119848e8d17' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>weighted average longitude of samples used to compute SSH</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>359999999</dd><dt><span>comment :</span></dt><dd>Longitude of measurement. East longitude relative to Greenwich meridian.  This value may be biased away from a nominal grid location if some of the native, unsmoothed samples were discarded during processing.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cross_track_distance</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6ee0ccf1-98f5-43bf-87aa-5e1478c7d0c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ee0ccf1-98f5-43bf-87aa-5e1478c7d0c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8e7513b-e1a4-4771-a24a-ee999d57c2ea' class='xr-var-data-in' type='checkbox'><label for='data-b8e7513b-e1a4-4771-a24a-ee999d57c2ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>cross track distance</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-75000.0</dd><dt><span>valid_max :</span></dt><dd>75000.0</dd><dt><span>comment :</span></dt><dd>Distance of sample from nadir. Negative values indicate the left side of the swath, and positive values indicate the right side of the swath.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x_factor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-335b0d6b-1701-4edc-8c04-3ba8a49619a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-335b0d6b-1701-4edc-8c04-3ba8a49619a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05aea05e-afe5-4cb1-855c-9a1c7dc9b4c3' class='xr-var-data-in' type='checkbox'><label for='data-05aea05e-afe5-4cb1-855c-9a1c7dc9b4c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radiometric calibration X factor as a composite value for the X factors of the +y and -y channels</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>valid_max :</span></dt><dd>1e+20</dd><dt><span>comment :</span></dt><dd>Radiometric calibration X factor as a linear power ratio.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_cor_atmos_model</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-37afa5eb-b651-41ae-bec8-86bbb86ca9af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37afa5eb-b651-41ae-bec8-86bbb86ca9af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67afcdab-7686-46a2-91c6-1f0564ce8935' class='xr-var-data-in' type='checkbox'><label for='data-67afcdab-7686-46a2-91c6-1f0564ce8935' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>two-way atmospheric correction to sigma0 from model</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>quality_flag :</span></dt><dd>sig0_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>1.0</dd><dt><span>valid_max :</span></dt><dd>10.0</dd><dt><span>comment :</span></dt><dd>Atmospheric correction to sigma0 from weather model data as a linear power multiplier (not decibels). sig0_cor_atmos_model is already applied in computing sig0_karin_2.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_cor_atmos_rad</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d23cd12b-1f22-4a73-a58a-317610e64e37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d23cd12b-1f22-4a73-a58a-317610e64e37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0787ceb2-998c-4f0a-9663-4c4ef06092ad' class='xr-var-data-in' type='checkbox'><label for='data-0787ceb2-998c-4f0a-9663-4c4ef06092ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>two-way atmospheric correction to sigma0 from radiometer data</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>quality_flag :</span></dt><dd>sig0_karin_qual</dd><dt><span>valid_min :</span></dt><dd>1.0</dd><dt><span>valid_max :</span></dt><dd>10.0</dd><dt><span>comment :</span></dt><dd>Atmospheric correction to sigma0 from radiometer data as a linear power multiplier (not decibels). sig0_cor_atmos_rad is already applied in computing sig0_karin.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>doppler_centroid</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-740a9750-71b6-4d9b-9ec3-281ea9b6244b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-740a9750-71b6-4d9b-9ec3-281ea9b6244b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6399d6d1-8666-4dc2-90c8-9e2be0963023' class='xr-var-data-in' type='checkbox'><label for='data-6399d6d1-8666-4dc2-90c8-9e2be0963023' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>doppler centroid estimated by KaRIn</dd><dt><span>units :</span></dt><dd>1/s</dd><dt><span>valid_min :</span></dt><dd>-30000</dd><dt><span>valid_max :</span></dt><dd>30000</dd><dt><span>comment :</span></dt><dd>Doppler centroid (in hertz or cycles per second) estimated by KaRIn.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>phase_bias_ref_surface</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5cb7a503-4aab-41f4-bb51-a83de5814da7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5cb7a503-4aab-41f4-bb51-a83de5814da7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04f42ac8-0e95-4256-ae83-0c387e0af4c6' class='xr-var-data-in' type='checkbox'><label for='data-04f42ac8-0e95-4256-ae83-0c387e0af4c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>height of reference surface used for phase bias calculation</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-15000000</dd><dt><span>valid_max :</span></dt><dd>150000000</dd><dt><span>comment :</span></dt><dd>Height (relative to the reference ellipsoid) of the reference surface used for phase bias calculation during L1B processing.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>obp_ref_surface</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7e641988-7ecb-49fc-9ed0-22f7acf14c36' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e641988-7ecb-49fc-9ed0-22f7acf14c36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdc82cb0-33fe-4ca4-ae68-572f2195e507' class='xr-var-data-in' type='checkbox'><label for='data-fdc82cb0-33fe-4ca4-ae68-572f2195e507' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>height of reference surface used by on-board-processor</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-15000000</dd><dt><span>valid_max :</span></dt><dd>150000000</dd><dt><span>comment :</span></dt><dd>Height (relative to the reference ellipsoid) of the reference surface used by the KaRIn on-board processor.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_tmb_187</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-19cd2046-5881-4aa8-a68c-9ef845fbde38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-19cd2046-5881-4aa8-a68c-9ef845fbde38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bcacda1-c9c8-40f5-94cf-6af0bbfb04dd' class='xr-var-data-in' type='checkbox'><label for='data-2bcacda1-c9c8-40f5-94cf-6af0bbfb04dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radiometer main beam brightness temperature at 18.7 GHz</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>valid_min :</span></dt><dd>13000</dd><dt><span>valid_max :</span></dt><dd>25000</dd><dt><span>comment :</span></dt><dd>Main beam brightness temperature measurement at 18.7 GHz. Value is unsmoothed (along-track averaging has not been performed).</dd></dl></div><div class='xr-var-data'><pre>[1252 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_tmb_238</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d8479643-1044-4eee-8233-856667aded61' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8479643-1044-4eee-8233-856667aded61' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf7390ef-8cfa-4a51-9219-db24c51c0b54' class='xr-var-data-in' type='checkbox'><label for='data-bf7390ef-8cfa-4a51-9219-db24c51c0b54' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radiometer main beam brightness temperature at 23.8 GHz</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>valid_min :</span></dt><dd>13000</dd><dt><span>valid_max :</span></dt><dd>25000</dd><dt><span>comment :</span></dt><dd>Main beam brightness temperature measurement at 23.8 GHz. Value is unsmoothed (along-track averaging has not been performed).</dd></dl></div><div class='xr-var-data'><pre>[1252 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_tmb_340</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-34072596-6696-4df3-a10d-390bdc64906a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34072596-6696-4df3-a10d-390bdc64906a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9f70d1e-6d55-460b-9d56-24c5c020a9fc' class='xr-var-data-in' type='checkbox'><label for='data-d9f70d1e-6d55-460b-9d56-24c5c020a9fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radiometer main beam brightness temperature at 34.0 GHz</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>valid_min :</span></dt><dd>15000</dd><dt><span>valid_max :</span></dt><dd>28000</dd><dt><span>comment :</span></dt><dd>Main beam brightness temperature measurement at 34.0 GHz. Value is unsmoothed (along-track averaging has not been performed).</dd></dl></div><div class='xr-var-data'><pre>[1252 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_water_vapor</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cb8c5b9e-d296-44dd-96b1-e62f7dd52a57' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb8c5b9e-d296-44dd-96b1-e62f7dd52a57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3cbdcd46-1d01-45ce-9ff6-9dee07b63e05' class='xr-var-data-in' type='checkbox'><label for='data-3cbdcd46-1d01-45ce-9ff6-9dee07b63e05' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>water vapor content from radiometer</dd><dt><span>standard_name :</span></dt><dd>atmosphere_water_vapor_content</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>kg/m^2</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>15000</dd><dt><span>comment :</span></dt><dd>Integrated water vapor content from radiometer measurements.</dd></dl></div><div class='xr-var-data'><pre>[1252 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_cloud_liquid_water</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-55375ba1-2e5a-4b2b-bdad-031ac0f78061' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-55375ba1-2e5a-4b2b-bdad-031ac0f78061' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2725db98-739a-4491-8812-13bc555919bf' class='xr-var-data-in' type='checkbox'><label for='data-2725db98-739a-4491-8812-13bc555919bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>liquid water content from radiometer</dd><dt><span>standard_name :</span></dt><dd>atmosphere_cloud_liquid_water_content</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>kg/m^2</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Integrated cloud liquid water content from radiometer measurements.</dd></dl></div><div class='xr-var-data'><pre>[1252 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_sea_surface_cnescls</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a6b029b6-43cb-4f9a-b968-ac86c09a6ab4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6b029b6-43cb-4f9a-b968-ac86c09a6ab4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f026b2da-5e71-493c-81a9-2e9d684fea1b' class='xr-var-data-in' type='checkbox'><label for='data-f026b2da-5e71-493c-81a9-2e9d684fea1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean sea surface height (CNES/CLS)</dd><dt><span>source :</span></dt><dd>CNES_CLS_2022</dd><dt><span>institution :</span></dt><dd>CNES/CLS</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-1500000</dd><dt><span>valid_max :</span></dt><dd>1500000</dd><dt><span>comment :</span></dt><dd>Mean sea surface height above the reference ellipsoid. The value is referenced to the mean tide system, i.e. includes the permanent tide (zero frequency).</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_sea_surface_cnescls_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0f5dfaba-6373-4451-bfb9-2991510da73e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f5dfaba-6373-4451-bfb9-2991510da73e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ad88699-5298-49e9-afc7-3980b9699d19' class='xr-var-data-in' type='checkbox'><label for='data-5ad88699-5298-49e9-afc7-3980b9699d19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean sea surface height accuracy (CNES/CLS)</dd><dt><span>source :</span></dt><dd>CNES_CLS_2022</dd><dt><span>institution :</span></dt><dd>CNES/CLS</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Accuracy of the mean sea surface height (mean_sea_surface_cnescls).</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_sea_surface_dtu</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4e1104a7-407d-4dfe-bb9f-b492b56fa79d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e1104a7-407d-4dfe-bb9f-b492b56fa79d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc7a0601-6596-4090-bada-92f036758142' class='xr-var-data-in' type='checkbox'><label for='data-cc7a0601-6596-4090-bada-92f036758142' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean sea surface height (DTU)</dd><dt><span>source :</span></dt><dd>DTU18</dd><dt><span>institution :</span></dt><dd>DTU</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-1500000</dd><dt><span>valid_max :</span></dt><dd>1500000</dd><dt><span>comment :</span></dt><dd>Mean sea surface height above the reference ellipsoid. The value is referenced to the mean tide system, i.e. includes the permanent tide (zero frequency).</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_sea_surface_dtu_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fdd0323e-23e4-49d5-96ce-df9e497c443a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fdd0323e-23e4-49d5-96ce-df9e497c443a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cfdaa3b-8fbd-4dc8-8f2c-bcdf67cb5b8d' class='xr-var-data-in' type='checkbox'><label for='data-9cfdaa3b-8fbd-4dc8-8f2c-bcdf67cb5b8d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean sea surface height accuracy (DTU)</dd><dt><span>source :</span></dt><dd>DTU18</dd><dt><span>institution :</span></dt><dd>DTU</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Accuracy of the mean sea surface height (mean_sea_surface_dtu)</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geoid</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b0f45a00-e922-4afb-acb0-85a08311d293' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0f45a00-e922-4afb-acb0-85a08311d293' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2702c6a-d10d-4a5a-9f27-fb03a15b6d66' class='xr-var-data-in' type='checkbox'><label for='data-a2702c6a-d10d-4a5a-9f27-fb03a15b6d66' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>geoid height</dd><dt><span>standard_name :</span></dt><dd>geoid_height_above_reference_ellipsoid</dd><dt><span>source :</span></dt><dd>EGM2008 (Pavlis et al., 2012)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-1500000</dd><dt><span>valid_max :</span></dt><dd>1500000</dd><dt><span>comment :</span></dt><dd>Geoid height above the reference ellipsoid with a correction to refer the value to the mean tide system, i.e. includes the permanent tide (zero frequency).</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_dynamic_topography</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e38752fd-b496-4313-9743-ef89f163405c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e38752fd-b496-4313-9743-ef89f163405c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f825e8e-610d-4d8e-8529-6de8a8ca3b8d' class='xr-var-data-in' type='checkbox'><label for='data-3f825e8e-610d-4d8e-8529-6de8a8ca3b8d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean dynamic topography</dd><dt><span>source :</span></dt><dd>CNES_CLS_2022</dd><dt><span>institution :</span></dt><dd>CNES/CLS</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-30000</dd><dt><span>valid_max :</span></dt><dd>30000</dd><dt><span>comment :</span></dt><dd>Mean dynamic topography above the geoid.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_dynamic_topography_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e8c192cb-dae5-4954-bb10-7c5bf758855e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8c192cb-dae5-4954-bb10-7c5bf758855e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-affe0047-1332-441b-a786-bf5e9776323e' class='xr-var-data-in' type='checkbox'><label for='data-affe0047-1332-441b-a786-bf5e9776323e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean dynamic topography accuracy</dd><dt><span>source :</span></dt><dd>CNES_CLS_2022</dd><dt><span>institution :</span></dt><dd>CNES/CLS</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Accuracy of the mean dynamic topography.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>depth_or_elevation</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dafc7a5e-d549-4594-85b5-8e98aa2f4b3a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dafc7a5e-d549-4594-85b5-8e98aa2f4b3a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ad8ae0c-e0dc-490b-9027-b0a9cec23b50' class='xr-var-data-in' type='checkbox'><label for='data-3ad8ae0c-e0dc-490b-9027-b0a9cec23b50' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ocean depth or land elevation</dd><dt><span>source :</span></dt><dd>Altimeter Corrected Elevations, version 2</dd><dt><span>institution :</span></dt><dd>European Space Agency</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-12000</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Ocean depth or land elevation above reference ellipsoid. Ocean depth (bathymetry) is given as negative values, and land elevation positive values.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>solid_earth_tide</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-48889ecb-9eea-4215-b930-aa5f49aa93d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48889ecb-9eea-4215-b930-aa5f49aa93d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48a1038a-3767-4e5b-9a0b-41fe23f06543' class='xr-var-data-in' type='checkbox'><label for='data-48a1038a-3767-4e5b-9a0b-41fe23f06543' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>solid Earth tide height</dd><dt><span>source :</span></dt><dd>Cartwright and Taylor (1971) and Cartwright and Edden (1973)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-10000</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Solid-Earth (body) tide height. The zero-frequency permanent tide component is not included.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_tide_fes</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-374b1693-4cb7-404a-818c-0a1c6e721ea6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-374b1693-4cb7-404a-818c-0a1c6e721ea6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e37c5cf-9935-4189-984a-0e1df9a50416' class='xr-var-data-in' type='checkbox'><label for='data-8e37c5cf-9935-4189-984a-0e1df9a50416' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>geocentric ocean tide height (FES)</dd><dt><span>source :</span></dt><dd>FES2014b (Carrere et al., 2016)</dd><dt><span>institution :</span></dt><dd>LEGOS/CNES</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-300000</dd><dt><span>valid_max :</span></dt><dd>300000</dd><dt><span>comment :</span></dt><dd>Geocentric ocean tide height. Includes the sum total of the ocean tide, the corresponding load tide (load_tide_fes) and equilibrium long-period ocean tide height (ocean_tide_eq).</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_tide_got</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6a13b20f-b0ca-444f-8181-22ab210898d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a13b20f-b0ca-444f-8181-22ab210898d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49fe1bbd-1ee1-4645-a169-2b6498e7b0ea' class='xr-var-data-in' type='checkbox'><label for='data-49fe1bbd-1ee1-4645-a169-2b6498e7b0ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>geocentric ocean tide height (GOT)</dd><dt><span>source :</span></dt><dd>GOT4.10c (Ray, 2013)</dd><dt><span>institution :</span></dt><dd>GSFC</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-300000</dd><dt><span>valid_max :</span></dt><dd>300000</dd><dt><span>comment :</span></dt><dd>Geocentric ocean tide height. Includes the sum total of the ocean tide, the corresponding load tide (load_tide_got) and equilibrium long-period ocean tide height (ocean_tide_eq).</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>load_tide_fes</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d2bd694c-c288-40b9-b637-8bdf8c8098dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2bd694c-c288-40b9-b637-8bdf8c8098dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e57835b-a635-4f32-9757-8b9f203fa2d5' class='xr-var-data-in' type='checkbox'><label for='data-8e57835b-a635-4f32-9757-8b9f203fa2d5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>geocentric load tide height (FES)</dd><dt><span>source :</span></dt><dd>FES2014b (Carrere et al., 2016)</dd><dt><span>institution :</span></dt><dd>LEGOS/CNES</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Geocentric load tide height. The effect of the ocean tide loading of the Earth&#x27;s crust. This value has already been added to the corresponding ocean tide height value (ocean_tide_fes).</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>load_tide_got</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4ad7da09-bece-4b6c-8baa-b701cac3fcb9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ad7da09-bece-4b6c-8baa-b701cac3fcb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63feafb3-1bb4-4e29-a898-8bcdd9e3ac52' class='xr-var-data-in' type='checkbox'><label for='data-63feafb3-1bb4-4e29-a898-8bcdd9e3ac52' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>geocentric load tide height (GOT)</dd><dt><span>source :</span></dt><dd>GOT4.10c (Ray, 2013)</dd><dt><span>institution :</span></dt><dd>GSFC</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Geocentric load tide height. The effect of the ocean tide loading of the Earth&#x27;s crust. This value has already been added to the corresponding ocean tide height value (ocean_tide_got).</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_tide_eq</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2076cd53-c8cf-42c3-9c04-a22e131e3b79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2076cd53-c8cf-42c3-9c04-a22e131e3b79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b9808d1-c41e-4fa2-9822-5df9bcaad691' class='xr-var-data-in' type='checkbox'><label for='data-8b9808d1-c41e-4fa2-9822-5df9bcaad691' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>equilibrium long-period ocean tide height</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Equilibrium long-period ocean tide height. This value has already been added to the corresponding ocean tide height values (ocean_tide_fes and ocean_tide_got).</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_tide_non_eq</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-df20d157-97d7-401a-a07f-1bad52963ffc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df20d157-97d7-401a-a07f-1bad52963ffc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef433e53-5475-4be1-8246-1711a45bb4e3' class='xr-var-data-in' type='checkbox'><label for='data-ef433e53-5475-4be1-8246-1711a45bb4e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>non-equilibrium long-period ocean tide height</dd><dt><span>source :</span></dt><dd>FES2014b (Carrere et al., 2016)</dd><dt><span>institution :</span></dt><dd>LEGOS/CNES</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Non-equilibrium long-period ocean tide height. This value is reported as a relative displacement with repsect to ocean_tide_eq. This value can be added to ocean_tide_eq, ocean_tide_fes, or ocean_tide_got, or subtracted from ssha_karin and ssha_karin_2, to account for the total long-period ocean tides from equilibrium and non-equilibrium contributions.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>internal_tide_hret</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3d644087-2d9d-4fd4-8acd-dc8b00015069' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d644087-2d9d-4fd4-8acd-dc8b00015069' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2be3dbde-a1a5-4050-9c0c-c0ec1485bc06' class='xr-var-data-in' type='checkbox'><label for='data-2be3dbde-a1a5-4050-9c0c-c0ec1485bc06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>coherent internal tide (HRET)</dd><dt><span>source :</span></dt><dd>Zaron (2019)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Coherent internal ocean tide. This value is subtracted from the ssh_karin and ssh_karin_2 to compute ssha_karin and ssha_karin_2, respectively.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>internal_tide_sol2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-93c419d7-2258-4d90-8bba-ea4f74e6b8bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93c419d7-2258-4d90-8bba-ea4f74e6b8bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4b2ca32-e593-4d2d-bb64-aee65a8494c5' class='xr-var-data-in' type='checkbox'><label for='data-e4b2ca32-e593-4d2d-bb64-aee65a8494c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>coherent internal tide (Model 2)</dd><dt><span>source :</span></dt><dd>None</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Coherent internal tide. This value is currently always defaulted.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pole_tide</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8563f988-fb47-45ac-bf52-735d4fa2e7ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8563f988-fb47-45ac-bf52-735d4fa2e7ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d4b8c4d-4c26-46fc-bcce-8182a9938cd4' class='xr-var-data-in' type='checkbox'><label for='data-7d4b8c4d-4c26-46fc-bcce-8182a9938cd4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>geocentric pole tide height</dd><dt><span>source :</span></dt><dd>Wahr (1985) and Desai et al. (2015)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Geocentric pole tide height.  The total of the contribution from the solid-Earth (body) pole tide height, the ocean pole tide height, and the load pole tide height (i.e., the effect of the ocean pole tide loading of the Earth&#x27;s crust).</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dac</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c758eb3f-799c-4d53-8568-ef3c6da26e51' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c758eb3f-799c-4d53-8568-ef3c6da26e51' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fbb34798-e753-476f-ac20-5fe91b91a77c' class='xr-var-data-in' type='checkbox'><label for='data-fbb34798-e753-476f-ac20-5fe91b91a77c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>dynamic atmospheric correction</dd><dt><span>source :</span></dt><dd>MOG2D</dd><dt><span>institution :</span></dt><dd>LEGOS/CNES/CLS</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-12000</dd><dt><span>valid_max :</span></dt><dd>12000</dd><dt><span>comment :</span></dt><dd>Model estimate of the effect on sea surface topography due to high frequency air pressure and wind effects and the low-frequency height from inverted barometer effect (inv_bar_cor). This value is subtracted from the ssh_karin and ssh_karin_2 to compute ssha_karin and ssha_karin_2, respectively. Use only one of inv_bar_cor and dac.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>inv_bar_cor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6635923e-f8ef-46e2-a091-750e7d751344' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6635923e-f8ef-46e2-a091-750e7d751344' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ce20b62-a91b-4c12-8c45-b0172312cd9a' class='xr-var-data-in' type='checkbox'><label for='data-9ce20b62-a91b-4c12-8c45-b0172312cd9a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>static inverse barometer effect on sea surface height</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Estimate of static effect of atmospheric pressure on sea surface height. Above average pressure lowers sea surface height. Computed by interpolating ECMWF pressure fields in space and time. The value is included in dac. To apply, add dac to ssha_karin and ssha_karin_2 and subtract inv_bar_cor.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>model_dry_tropo_cor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4e8ec7f5-3391-4de8-87db-48fc61ac72dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e8ec7f5-3391-4de8-87db-48fc61ac72dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3c87ddf-249c-4bd8-a03c-a2b307a03471' class='xr-var-data-in' type='checkbox'><label for='data-c3c87ddf-249c-4bd8-a03c-a2b307a03471' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>dry troposphere vertical correction</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>-30000</dd><dt><span>valid_max :</span></dt><dd>-15000</dd><dt><span>comment :</span></dt><dd>Equivalent vertical correction due to dry troposphere delay. The reported sea surface height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>model_wet_tropo_cor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-708f779b-0e9f-4f0e-87d3-aefc02cd448e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-708f779b-0e9f-4f0e-87d3-aefc02cd448e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b808750-116d-4004-a321-ea06763fe67d' class='xr-var-data-in' type='checkbox'><label for='data-4b808750-116d-4004-a321-ea06763fe67d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wet troposphere vertical correction from weather model data</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>-10000</dd><dt><span>valid_max :</span></dt><dd>0</dd><dt><span>comment :</span></dt><dd>Equivalent vertical correction due to wet troposphere delay from weather model data. The reported pixel height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height (ssh_karin_2) results in the uncorrected sea surface height.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_wet_tropo_cor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-79cb3985-70cc-4427-8f27-4f1742ab218f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79cb3985-70cc-4427-8f27-4f1742ab218f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c1e8364-9c86-4e37-856e-6a3925b4095d' class='xr-var-data-in' type='checkbox'><label for='data-4c1e8364-9c86-4e37-856e-6a3925b4095d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wet troposphere vertical correction from radiometer data</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_qual</dd><dt><span>valid_min :</span></dt><dd>-10000</dd><dt><span>valid_max :</span></dt><dd>0</dd><dt><span>comment :</span></dt><dd>Equivalent vertical correction due to wet troposphere delay from radiometer measurements. The reported pixel height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height (ssh_karin) results in the uncorrected sea surface height.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>iono_cor_gim_ka</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-292bef57-f001-4f48-abb7-e76ad5877230' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-292bef57-f001-4f48-abb7-e76ad5877230' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0a6d0f2-493b-4a79-9eb3-7d0ab5fab073' class='xr-var-data-in' type='checkbox'><label for='data-c0a6d0f2-493b-4a79-9eb3-7d0ab5fab073' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ionosphere vertical correction</dd><dt><span>source :</span></dt><dd>Global Ionosphere Maps</dd><dt><span>institution :</span></dt><dd>JPL</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>-5000</dd><dt><span>valid_max :</span></dt><dd>0</dd><dt><span>comment :</span></dt><dd>Equivalent vertical correction due to ionosphere delay. The reported sea surface height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height_cor_xover</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3bfbd766-abb7-4ba4-8d3d-654e6fc2e93a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3bfbd766-abb7-4ba4-8d3d-654e6fc2e93a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7f248da-524b-47a0-951f-2538e40703b1' class='xr-var-data-in' type='checkbox'><label for='data-e7f248da-524b-47a0-951f-2538e40703b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>height correction from crossover calibration</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>height_cor_xover_qual</dd><dt><span>valid_min :</span></dt><dd>-100000</dd><dt><span>valid_max :</span></dt><dd>100000</dd><dt><span>comment :</span></dt><dd>Height correction from crossover calibration. To apply this correction the value of height_cor_xover should be added to the value of ssh_karin, ssh_karin_2, ssha_karin, and ssha_karin_2.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height_cor_xover_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8dffd387-4e22-4eed-ab2e-5ef0abb57646' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8dffd387-4e22-4eed-ab2e-5ef0abb57646' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e9affdd-a190-4a46-a00a-dc0561c7d9dd' class='xr-var-data-in' type='checkbox'><label for='data-3e9affdd-a190-4a46-a00a-dc0561c7d9dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for height correction from crossover calibration</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>good suspect bad</dd><dt><span>flag_values :</span></dt><dd>[0 1 2]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2</dd><dt><span>comment :</span></dt><dd>Flag indicating the quality of the height correction from crossover calibration.  Values of 0, 1, and 2 indicate that the correction is good, suspect, and bad, respectively.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rain_rate</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1e062319-cb48-4781-8776-38db4721b0a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e062319-cb48-4781-8776-38db4721b0a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-341b9af4-8c0f-4c61-91d4-e8f9063387c9' class='xr-var-data-in' type='checkbox'><label for='data-341b9af4-8c0f-4c61-91d4-e8f9063387c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>rain rate from weather model</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>mm/hr</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>200</dd><dt><span>comment :</span></dt><dd>Rain rate from weather model.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ice_conc</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4fb6b848-23e8-4926-a512-9acee67e6b74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4fb6b848-23e8-4926-a512-9acee67e6b74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b247b7f2-94cd-4c62-a954-b93d1dc1693a' class='xr-var-data-in' type='checkbox'><label for='data-b247b7f2-94cd-4c62-a954-b93d1dc1693a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>concentration of sea ice</dd><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction</dd><dt><span>source :</span></dt><dd>EUMETSAT Ocean and Sea Ice Satellite Applications Facility</dd><dt><span>institution :</span></dt><dd>EUMETSAT</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Concentration of sea ice from model.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_state_bias_cor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eb6f26c4-dd1a-4da2-841c-84363698827e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb6f26c4-dd1a-4da2-841c-84363698827e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9be0a84-5fce-45e3-9f03-f52357149b24' class='xr-var-data-in' type='checkbox'><label for='data-a9be0a84-5fce-45e3-9f03-f52357149b24' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea state bias correction</dd><dt><span>source :</span></dt><dd>CNES</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-6000</dd><dt><span>valid_max :</span></dt><dd>0</dd><dt><span>comment :</span></dt><dd>Sea state bias correction used to compute ssh_karin. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height. The wind_speed_karin value is used to compute this quantity.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_state_bias_cor_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-311133ca-ac4d-47ed-9311-0b069cb00a9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-311133ca-ac4d-47ed-9311-0b069cb00a9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2273fb24-1096-46e7-b6e2-5f40eaa37ec8' class='xr-var-data-in' type='checkbox'><label for='data-2273fb24-1096-46e7-b6e2-5f40eaa37ec8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea state bias correction</dd><dt><span>source :</span></dt><dd>CNES</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-6000</dd><dt><span>valid_max :</span></dt><dd>0</dd><dt><span>comment :</span></dt><dd>Sea state bias correction used to compute ssh_karin_2. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height. The wind_speed_karin_2 value is used to compute this quantity.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_ssb_cor_source</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-00bf85a3-43fd-4700-b636-ba7a59a21edc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00bf85a3-43fd-4700-b636-ba7a59a21edc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d926b668-33e5-4276-b139-ec67640131ed' class='xr-var-data-in' type='checkbox'><label for='data-d926b668-33e5-4276-b139-ec67640131ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>source flag for significant wave height information used to compute sea state bias correction</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>nadir_altimeter karin model</dd><dt><span>flag_masks :</span></dt><dd>[1 2 4]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>7</dd><dt><span>comment :</span></dt><dd>Bit flag that indicates the source of significant wave height information that was used to compute the sea state bias correction in sea_state_bias_cor.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_ssb_cor_source_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-90d6ea5e-dfd6-438a-ba2c-5b93fafd3cd4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90d6ea5e-dfd6-438a-ba2c-5b93fafd3cd4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3f80e46-0cfc-47c4-9060-b18cdb78996c' class='xr-var-data-in' type='checkbox'><label for='data-f3f80e46-0cfc-47c4-9060-b18cdb78996c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>source flag for significant wave height information used to compute sea state bias correction</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>nadir_altimeter karin model</dd><dt><span>flag_masks :</span></dt><dd>[1 2 4]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>7</dd><dt><span>comment :</span></dt><dd>Bit flag that indicates the source of significant wave height information that was used to compute the sea state bias correction in sea_state_bias_cor_2.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_ssb_cor_source</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2b7004d1-bcd7-4d1f-af92-c2927bf4e495' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b7004d1-bcd7-4d1f-af92-c2927bf4e495' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c36cbddd-c02c-4e0a-b91c-349180aae203' class='xr-var-data-in' type='checkbox'><label for='data-c36cbddd-c02c-4e0a-b91c-349180aae203' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>source flag for wind speed information used to compute sea state bias correction</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>nadir_altimeter karin model</dd><dt><span>flag_masks :</span></dt><dd>[1 2 4]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>7</dd><dt><span>comment :</span></dt><dd>Bit flag that indicates the source of wind speed information that was used to compute the sea state bias correction in sea_state_bias_cor.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_ssb_cor_source_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fc96da2e-9e4a-40db-b426-43eff848c752' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc96da2e-9e4a-40db-b426-43eff848c752' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06c9369e-79e8-4fb1-a5bf-76f128ce1f80' class='xr-var-data-in' type='checkbox'><label for='data-06c9369e-79e8-4fb1-a5bf-76f128ce1f80' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>source flag for wind speed information used to compute sea state bias correction</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>nadir_altimeter karin model</dd><dt><span>flag_masks :</span></dt><dd>[1 2 4]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>7</dd><dt><span>comment :</span></dt><dd>Bit flag that indicates the source of wind speed information that was used to compute the sea state bias correction in sea_state_bias_cor_2.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>volumetric_correlation</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9b94d989-a234-4407-a429-9f5643892e6e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b94d989-a234-4407-a429-9f5643892e6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9fc6ac50-b3e9-4e73-9c6c-2c99936e7a9f' class='xr-var-data-in' type='checkbox'><label for='data-9fc6ac50-b3e9-4e73-9c6c-2c99936e7a9f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>volumetric correlation</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>20000</dd><dt><span>comment :</span></dt><dd>Volumetric correlation.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>volumetric_correlation_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bf5bf473-678b-49ff-ae9a-01f51cf2c0cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf5bf473-678b-49ff-ae9a-01f51cf2c0cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b57e3eb4-7f18-4a3e-b969-21ce9c48cbfc' class='xr-var-data-in' type='checkbox'><label for='data-b57e3eb4-7f18-4a3e-b969-21ce9c48cbfc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>volumetric correlation standard deviation</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>1-sigma uncertainty computed analytically using observed correlation and effective number of looks. Two-sided error bars (volumetric_correlation-volumetric_correlation_uncert, volumetric_correlation+volumetric_correlation_uncert) include 68% of probability distribution.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4075495f-e118-4226-8230-85e3e52d3b3c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4075495f-e118-4226-8230-85e3e52d3b3c' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-923eb32c-7352-41a0-af05-b4171646bc7f' class='xr-section-summary-in' type='checkbox'  ><label for='section-923eb32c-7352-41a0-af05-b4171646bc7f' class='xr-section-summary' >Attributes: <span>(62)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>title :</span></dt><dd>Level 2 Low Rate Sea Surface Height Data Product - Expert SSH with Wind and Wave</dd><dt><span>institution :</span></dt><dd>CNES</dd><dt><span>source :</span></dt><dd>Ka-band radar interferometer</dd><dt><span>history :</span></dt><dd>2023-11-25T21:23:38Z : Creation</dd><dt><span>platform :</span></dt><dd>SWOT</dd><dt><span>reference_document :</span></dt><dd>D-56407_SWOT_Product_Description_L2_LR_SSH</dd><dt><span>contact :</span></dt><dd>podaac@jpl.nasa.gov</dd><dt><span>cycle_number :</span></dt><dd>7</dd><dt><span>pass_number :</span></dt><dd>13</dd><dt><span>equator_time :</span></dt><dd>2023-11-23T20:47:23.807000Z</dd><dt><span>short_name :</span></dt><dd>L2_LR_SSH</dd><dt><span>product_file_id :</span></dt><dd>Expert</dd><dt><span>crid :</span></dt><dd>PIC0</dd><dt><span>product_version :</span></dt><dd>01</dd><dt><span>pge_name :</span></dt><dd>PGE_L2_LR_SSH</dd><dt><span>pge_version :</span></dt><dd>5.0.2</dd><dt><span>time_coverage_start :</span></dt><dd>2023-11-23T20:21:37.683390</dd><dt><span>time_coverage_end :</span></dt><dd>2023-11-23T21:13:05.888030</dd><dt><span>geospatial_lon_min :</span></dt><dd>121.107237</dd><dt><span>geospatial_lon_max :</span></dt><dd>288.551771</dd><dt><span>geospatial_lat_min :</span></dt><dd>-78.271942</dd><dt><span>geospatial_lat_max :</span></dt><dd>78.27206799999999</dd><dt><span>left_first_longitude :</span></dt><dd>121.12660899999999</dd><dt><span>left_first_latitude :</span></dt><dd>-77.05370099999999</dd><dt><span>left_last_longitude :</span></dt><dd>288.551771</dd><dt><span>left_last_latitude :</span></dt><dd>78.27200599999999</dd><dt><span>right_first_longitude :</span></dt><dd>121.107237</dd><dt><span>right_first_latitude :</span></dt><dd>-78.27186999999999</dd><dt><span>right_last_longitude :</span></dt><dd>288.53394399999996</dd><dt><span>right_last_latitude :</span></dt><dd>77.053837</dd><dt><span>wavelength :</span></dt><dd>0.008385803020979021</dd><dt><span>transmit_antenna :</span></dt><dd>minus_y</dd><dt><span>xref_l1b_lr_intf_file :</span></dt><dd>SWOT_L1B_LR_INTF_007_013_20231123T202134_20231123T211309_PIC0_01.nc</dd><dt><span>xref_l2_nalt_gdr_files :</span></dt><dd>SWOT_IPN_2PfP007_012_20231123_193011_20231123_202138.nc, SWOT_IPN_2PfP007_013_20231123_202138_20231123_211305.nc, SWOT_IPN_2PfP007_014_20231123_211305_20231123_220431.nc</dd><dt><span>xref_l2_rad_gdr_files :</span></dt><dd>SWOT_IPRAD_2PaP007_012_20231123_193007_20231123_202142_PIC0_01.nc, SWOT_IPRAD_2PaP007_013_20231123_202134_20231123_211309_PIC0_01.nc, SWOT_IPRAD_2PaP007_014_20231123_211301_20231123_220435_PIC0_01.nc</dd><dt><span>xref_int_lr_xover_cal_file :</span></dt><dd>SWOT_INT_LR_XOverCal_20231122T234644_20231123T234736_PIC0_02.nc</dd><dt><span>xref_statickarincal_files :</span></dt><dd>SWOT_StaticKaRInCalAdjustableParam_20000101T000000_20991231T235959_20230823T210000_v106.nc</dd><dt><span>xref_param_l2_lr_precalssh_file :</span></dt><dd>SWOT_Param_L2_LR_PreCalSSH_20000101T000000_20991231T235959_20230815T120500_v301.nc</dd><dt><span>xref_orbit_ephemeris_file :</span></dt><dd>SWOT_POR_AXVCNE20231124_105318_20231122_225923_20231124_005923.nc</dd><dt><span>xref_reforbittrack_files :</span></dt><dd>SWOT_RefOrbitTrack125mPass1_Nom_20000101T000000_21000101T000000_20200617T193054_v101.txt, SWOT_RefOrbitTrack125mPass2_Nom_20000101T000000_21000101T000000_20200617T193054_v101.txt</dd><dt><span>xref_meteorological_sealevel_pressure_files :</span></dt><dd>SMM_PMA_AXVCNE20231124_030722_20231123_180000_20231123_180000, SMM_PMA_AXVCNE20231124_051537_20231124_000000_20231124_000000</dd><dt><span>xref_meteorological_wettroposphere_files :</span></dt><dd>SMM_WEA_AXVCNE20231124_030722_20231123_180000_20231123_180000, SMM_WEA_AXVCNE20231124_051537_20231124_000000_20231124_000000</dd><dt><span>xref_meteorological_wind_files :</span></dt><dd>SMM_UWA_AXVCNE20231124_030722_20231123_180000_20231123_180000, SMM_VWA_AXVCNE20231124_030722_20231123_180000_20231123_180000, SMM_VWA_AXVCNE20231124_051537_20231124_000000_20231124_000000, SMM_UWA_AXVCNE20231124_051537_20231124_000000_20231124_000000</dd><dt><span>xref_meteorological_surface_pressure_files :</span></dt><dd>SMM_PSA_AXVCNE20231124_054040_20231123_180000_20231123_180000, SMM_PSA_AXVCNE20231124_054040_20231124_000000_20231124_000000</dd><dt><span>xref_meteorological_temperature_files :</span></dt><dd>SMM_T2M_AXPCNE20231124_054040_20231123_180000_20231123_180000.grb, SMM_T2M_AXPCNE20231124_054040_20231124_000000_20231124_000000.grb</dd><dt><span>xref_meteorological_water_vapor_files :</span></dt><dd>SMM_CWV_AXPCNE20231124_054040_20231123_180000_20231123_180000.grb, SMM_CWV_AXPCNE20231124_054040_20231124_000000_20231124_000000.grb</dd><dt><span>xref_meteorological_cloud_liquid_water_files :</span></dt><dd>SMM_CLW_AXPCNE20231124_054040_20231123_180000_20231123_180000.grb, SMM_CLW_AXPCNE20231124_054040_20231124_000000_20231124_000000.grb</dd><dt><span>xref_model_significant_wave_height_files :</span></dt><dd>SMM_SWH_AXPCNE20231124_054040_20231123_180000_20231123_180000.grb, SMM_SWH_AXPCNE20231124_054040_20231124_000000_20231124_000000.grb</dd><dt><span>xref_gim_files :</span></dt><dd>JPLQ3270.23I, JPLQ3280.23I</dd><dt><span>xref_pole_location_file :</span></dt><dd>SMM_PO1_AXXCNE20231125_020000_19900101_000000_20240523_000000</dd><dt><span>xref_dac_files :</span></dt><dd>SMM_MOG_AXPCNE20231124_074502_20231123_180000_20231123_180000, SMM_MOG_AXPCNE20231124_074502_20231124_000000_20231124_000000</dd><dt><span>xref_precipitation_files :</span></dt><dd>SMM_CRR_AXFCNE20231123_185541_20231123_180000_20231123_180000.grb, SMM_LSR_AXFCNE20231123_185541_20231123_180000_20231123_180000.grb, SMM_CRR_AXFCNE20231124_065600_20231124_000000_20231124_000000.grb, SMM_LSR_AXFCNE20231124_065600_20231124_000000_20231124_000000.grb</dd><dt><span>xref_sea_ice_mask_files :</span></dt><dd>SMM_ICN_AXFCNE20231124_051512_20231123_000000_20231123_235959.nc, SMM_ICS_AXFCNE20231124_052007_20231123_000000_20231123_235959.nc</dd><dt><span>xref_wave_model_files :</span></dt><dd>SMM_WMA_AXPCNE20231124_072014_20231123_030000_20231124_000000.grb</dd><dt><span>xref_geco_database_version :</span></dt><dd>v102</dd><dt><span>ellipsoid_semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>ellipsoid_flattening :</span></dt><dd>0.0033528106647474805</dd><dt><span>good_ocean_data_percent :</span></dt><dd>65.76645448005515</dd><dt><span>ssha_variance :</span></dt><dd>0.11614050683132866</dd><dt><span>references :</span></dt><dd>V1.2.1</dd><dt><span>equator_longitude :</span></dt><dd>-155.17</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 25MB\n",
       "Dimensions:                                (num_lines: 626, num_pixels: 69,\n",
       "                                            num_sides: 2)\n",
       "Coordinates:\n",
       "    latitude_nadir                         (num_lines) float64 5kB 33.01 ... ...\n",
       "    longitude_nadir                        (num_lines) float64 5kB 210.6 ... ...\n",
       "    latitude                               (num_lines, num_pixels) float64 346kB ...\n",
       "    longitude                              (num_lines, num_pixels) float64 346kB ...\n",
       "Dimensions without coordinates: num_lines, num_pixels, num_sides\n",
       "Data variables: (12/98)\n",
       "    time                                   (num_lines) datetime64[ns] 5kB ...\n",
       "    time_tai                               (num_lines) datetime64[ns] 5kB ...\n",
       "    ssh_karin                              (num_lines, num_pixels) float64 346kB ...\n",
       "    ssh_karin_qual                         (num_lines, num_pixels) float64 346kB ...\n",
       "    ssh_karin_uncert                       (num_lines, num_pixels) float64 346kB ...\n",
       "    ssha_karin                             (num_lines, num_pixels) float64 346kB ...\n",
       "    ...                                     ...\n",
       "    swh_ssb_cor_source                     (num_lines, num_pixels) float32 173kB ...\n",
       "    swh_ssb_cor_source_2                   (num_lines, num_pixels) float32 173kB ...\n",
       "    wind_speed_ssb_cor_source              (num_lines, num_pixels) float32 173kB ...\n",
       "    wind_speed_ssb_cor_source_2            (num_lines, num_pixels) float32 173kB ...\n",
       "    volumetric_correlation                 (num_lines, num_pixels) float64 346kB ...\n",
       "    volumetric_correlation_uncert          (num_lines, num_pixels) float64 346kB ...\n",
       "Attributes: (12/62)\n",
       "    Conventions:                                   CF-1.7\n",
       "    title:                                         Level 2 Low Rate Sea Surfa...\n",
       "    institution:                                   CNES\n",
       "    source:                                        Ka-band radar interferometer\n",
       "    history:                                       2023-11-25T21:23:38Z : Cre...\n",
       "    platform:                                      SWOT\n",
       "    ...                                            ...\n",
       "    ellipsoid_semi_major_axis:                     6378137.0\n",
       "    ellipsoid_flattening:                          0.0033528106647474805\n",
       "    good_ocean_data_percent:                       65.76645448005515\n",
       "    ssha_variance:                                 0.11614050683132866\n",
       "    references:                                    V1.2.1\n",
       "    equator_longitude:                             -155.17"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "lat_bounds = [33, 44]\n",
    "\n",
    "data=swot.SSH_L2() \n",
    "data.load_data('SWOT_L2_LR_SSH_Expert_007_013_20231123T202137_20231123T211305_PIC0_01.nc',\n",
    "              lat_bounds=lat_bounds)\n",
    "display(data.Expert)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "load_and_plot_ssha_data(data)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "# Change the following for your region of interest.\n",
    "pass_num='013'\n",
    "pth = '/mnt/flow/swot/KaRIn/SWOT_L2_LR_SSH_1.1/' #path to your data\n",
    "fn = f'SWOT_L2_LR_SSH_Expert_???_{pass_num}_20230423T0422??_*_PIB0_01.nc' #filename of your data\n",
    "fns=sorted(glob(pth+fn))\n",
    "fn=fns[0]\n",
    "\n",
    "# Latitude bounds\n",
    "lat_bounds = [33, 44]\n",
    "# Load data\n",
    "data = swot.SSH_L2()\n",
    "data.load_data(pth + fn, lat_bounds=lat_bounds)\n",
    "display(data.Expert)\n",
    "# Execute the function\n",
    "load_and_plot_ssha_data(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Direct S3 access in the AWS cloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Granules found: 9\n",
      "Opening 1 granules, approx size: 0.03 GB\n",
      "using endpoint: https://archive.swot.podaac.earthdata.nasa.gov/s3credentials\n"
     ]
    },
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      "text/plain": [
       "QUEUEING TASKS | :   0%|          | 0/1 [00:00<?, ?it/s]"
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       "PROCESSING TASKS | :   0%|          | 0/1 [00:00<?, ?it/s]"
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       "COLLECTING RESULTS | :   0%|          | 0/1 [00:00<?, ?it/s]"
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 400MB\n",
       "Dimensions:                                (num_lines: 9866, num_pixels: 69,\n",
       "                                            num_sides: 2)\n",
       "Coordinates:\n",
       "    latitude                               (num_lines, num_pixels) float64 5MB dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;\n",
       "    longitude                              (num_lines, num_pixels) float64 5MB dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;\n",
       "    latitude_nadir                         (num_lines) float64 79kB dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;\n",
       "    longitude_nadir                        (num_lines) float64 79kB dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;\n",
       "Dimensions without coordinates: num_lines, num_pixels, num_sides\n",
       "Data variables: (12/98)\n",
       "    time                                   (num_lines) datetime64[ns] 79kB dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;\n",
       "    time_tai                               (num_lines) datetime64[ns] 79kB dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;\n",
       "    ssh_karin                              (num_lines, num_pixels) float64 5MB dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;\n",
       "    ssh_karin_qual                         (num_lines, num_pixels) float64 5MB dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;\n",
       "    ssh_karin_uncert                       (num_lines, num_pixels) float64 5MB dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;\n",
       "    ssha_karin                             (num_lines, num_pixels) float64 5MB dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;\n",
       "    ...                                     ...\n",
       "    swh_ssb_cor_source                     (num_lines, num_pixels) float32 3MB dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;\n",
       "    swh_ssb_cor_source_2                   (num_lines, num_pixels) float32 3MB dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;\n",
       "    wind_speed_ssb_cor_source              (num_lines, num_pixels) float32 3MB dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;\n",
       "    wind_speed_ssb_cor_source_2            (num_lines, num_pixels) float32 3MB dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;\n",
       "    volumetric_correlation                 (num_lines, num_pixels) float64 5MB dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;\n",
       "    volumetric_correlation_uncert          (num_lines, num_pixels) float64 5MB dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;\n",
       "Attributes: (12/62)\n",
       "    Conventions:                                   CF-1.7\n",
       "    title:                                         Level 2 Low Rate Sea Surfa...\n",
       "    institution:                                   CNES\n",
       "    source:                                        Ka-band radar interferometer\n",
       "    history:                                       2023-11-25T21:23:38Z : Cre...\n",
       "    platform:                                      SWOT\n",
       "    ...                                            ...\n",
       "    ellipsoid_semi_major_axis:                     6378137.0\n",
       "    ellipsoid_flattening:                          0.0033528106647474805\n",
       "    good_ocean_data_percent:                       65.76645448005515\n",
       "    ssha_variance:                                 0.11614050683132866\n",
       "    references:                                    V1.2.1\n",
       "    equator_longitude:                             -155.17</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b764668b-4422-4d37-8ff6-078bdba93e96' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b764668b-4422-4d37-8ff6-078bdba93e96' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>num_lines</span>: 9866</li><li><span>num_pixels</span>: 69</li><li><span>num_sides</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a52aa7fc-2706-44d3-8efb-b18c287ad2ec' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a52aa7fc-2706-44d3-8efb-b18c287ad2ec' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-309b7a62-38e1-4b2e-ac08-342bc30f145b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-309b7a62-38e1-4b2e-ac08-342bc30f145b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a96a03a5-e7d3-4e14-bdd4-2e9c3666c843' class='xr-var-data-in' type='checkbox'><label for='data-a96a03a5-e7d3-4e14-bdd4-2e9c3666c843' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude (positive N, negative S)</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_min :</span></dt><dd>-80000000</dd><dt><span>valid_max :</span></dt><dd>80000000</dd><dt><span>comment :</span></dt><dd>Latitude of measurement [-80,80]. Positive latitude is North latitude, negative latitude is South latitude.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
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       "\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-d26f5351-ffef-464b-80a8-5892fbe4d7bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d26f5351-ffef-464b-80a8-5892fbe4d7bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d952ea1e-469e-4f15-aa5e-f40d6f760831' class='xr-var-data-in' type='checkbox'><label for='data-d952ea1e-469e-4f15-aa5e-f40d6f760831' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude (degrees East)</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>359999999</dd><dt><span>comment :</span></dt><dd>Longitude of measurement. East longitude relative to Greenwich meridian.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"120\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude_nadir</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;</div><input id='attrs-36d2f13f-339f-4e73-85be-01a80001d239' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36d2f13f-339f-4e73-85be-01a80001d239' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c6bf648-cec6-4d8d-99dc-fb512b4a33c3' class='xr-var-data-in' type='checkbox'><label for='data-2c6bf648-cec6-4d8d-99dc-fb512b4a33c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude of satellite nadir point</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>quality_flag :</span></dt><dd>orbit_qual</dd><dt><span>valid_min :</span></dt><dd>-80000000</dd><dt><span>valid_max :</span></dt><dd>80000000</dd><dt><span>comment :</span></dt><dd>Geodetic latitude [-80,80] (degrees north of equator) of the satellite nadir point.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866,) </td>\n",
       "                        <td> (9866,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
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       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >9866</text>\n",
       "  <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">1</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude_nadir</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;</div><input id='attrs-598735de-1355-416b-b5ed-bb99bb076ffb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-598735de-1355-416b-b5ed-bb99bb076ffb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1523f61d-25a0-4756-8737-8ab0077765ea' class='xr-var-data-in' type='checkbox'><label for='data-1523f61d-25a0-4756-8737-8ab0077765ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude of satellite nadir point</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>quality_flag :</span></dt><dd>orbit_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>359999999</dd><dt><span>comment :</span></dt><dd>Longitude (degrees east of Grenwich meridian) of the satellite nadir point.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866,) </td>\n",
       "                        <td> (9866,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "\n",
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       "\n",
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       "  <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >9866</text>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-3101ba1b-e715-41cc-974b-3327e399155f' class='xr-section-summary-in' type='checkbox'  ><label for='section-3101ba1b-e715-41cc-974b-3327e399155f' class='xr-section-summary' >Data variables: <span>(98)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;</div><input id='attrs-be43dc64-f9bb-489b-8fc7-cf4d6cf22b78' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be43dc64-f9bb-489b-8fc7-cf4d6cf22b78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7919cbed-2a58-4a87-837c-baea8f7de8a9' class='xr-var-data-in' type='checkbox'><label for='data-7919cbed-2a58-4a87-837c-baea8f7de8a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time in UTC</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>tai_utc_difference :</span></dt><dd>37.0</dd><dt><span>leap_second :</span></dt><dd>0000-00-00T00:00:00Z</dd><dt><span>comment :</span></dt><dd>Time of measurement in seconds in the UTC time scale since 1 Jan 2000 00:00:00 UTC. [tai_utc_difference] is the difference between TAI and UTC reference time (seconds) for the first measurement of the data set. If a leap second occurs within the data set, the attribute leap_second is set to the UTC time at which the leap second occurs.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866,) </td>\n",
       "                        <td> (9866,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> datetime64[ns] numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_tai</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;</div><input id='attrs-8b01cac9-d1d2-4600-a626-cb8b8677cd57' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b01cac9-d1d2-4600-a626-cb8b8677cd57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50704adc-feb4-4d56-be00-ee82901ec1b4' class='xr-var-data-in' type='checkbox'><label for='data-50704adc-feb4-4d56-be00-ee82901ec1b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time in TAI</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>tai_utc_difference :</span></dt><dd>37.0</dd><dt><span>comment :</span></dt><dd>Time of measurement in seconds in the TAI time scale since 1 Jan 2000 00:00:00 TAI. This time scale contains no leap seconds. The difference (in seconds) with time in UTC is given by the attribute [time:tai_utc_difference].</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                        <td> 77.08 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866,) </td>\n",
       "                        <td> (9866,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> datetime64[ns] numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssh_karin</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-6ba16f42-41a9-4342-af66-102ea330190b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ba16f42-41a9-4342-af66-102ea330190b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-341c1fa5-953c-4e35-bb61-8851792ce298' class='xr-var-data-in' type='checkbox'><label for='data-341c1fa5-953c-4e35-bb61-8851792ce298' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height</dd><dt><span>standard_name :</span></dt><dd>sea surface height above reference ellipsoid</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_qual</dd><dt><span>valid_min :</span></dt><dd>-15000000</dd><dt><span>valid_max :</span></dt><dd>150000000</dd><dt><span>comment :</span></dt><dd>Fully corrected sea surface height measured by KaRIn. The height is relative to the reference ellipsoid defined in the global attributes. This value is computed using radiometer measurements for wet troposphere effects on the KaRIn measurement (e.g., rad_wet_tropo_cor and sea_state_bias_cor).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                    <tr>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssh_karin_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-383879dd-64b6-49eb-9068-e38404bc28d4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-383879dd-64b6-49eb-9068-e38404bc28d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8c578ba-c2bb-4aff-832a-4ba23ef5300b' class='xr-var-data-in' type='checkbox'><label for='data-a8c578ba-c2bb-4aff-832a-4ba23ef5300b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for sea surface height from KaRIn</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_large_ssh_delta suspect_large_ssh_std suspect_large_ssh_window_std suspect_beam_used suspect_less_than_nine_beams suspect_ssb_out_of_range suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_ssb_not_computable degraded_media_delays_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_ssb_missing bad_radiometer_corr_missing bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         1          2          4          8         16         64\n",
       "        128        256        512       1024       2048       4096\n",
       "       8192      32768      65536     131072     262144     524288\n",
       "   16777216   33554432  134217728  268435456  536870912 1073741824\n",
       " 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>4212113375</dd><dt><span>comment :</span></dt><dd>Quality flag for sea surface height from KaRIn in ssh_karin variable.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssh_karin_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-0dea8605-3d8a-4548-8ead-c33a3542d85a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0dea8605-3d8a-4548-8ead-c33a3542d85a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea08b53b-10d1-4472-bc9b-458353c501a0' class='xr-var-data-in' type='checkbox'><label for='data-ea08b53b-10d1-4472-bc9b-458353c501a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height anomaly uncertainty</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>60000</dd><dt><span>comment :</span></dt><dd>1-sigma uncertainty on the sea surface height from the KaRIn measurement.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssha_karin</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-a697af5d-c149-4c33-8587-ae01299a47db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a697af5d-c149-4c33-8587-ae01299a47db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f43b3f6f-89c2-4213-8a63-1b55686178a4' class='xr-var-data-in' type='checkbox'><label for='data-f43b3f6f-89c2-4213-8a63-1b55686178a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height anomaly</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssha_karin_qual</dd><dt><span>valid_min :</span></dt><dd>-1000000</dd><dt><span>valid_max :</span></dt><dd>1000000</dd><dt><span>comment :</span></dt><dd>Sea surface height anomaly from the KaRIn measurement = ssh_karin - mean_sea_surface_cnescls - solid_earth_tide - ocean_tide_fes – internal_tide_hret - pole_tide - dac.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssha_karin_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-306def66-2b74-4cfe-9d60-1bb5190e803b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-306def66-2b74-4cfe-9d60-1bb5190e803b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba47f9c8-05ed-4738-a1d0-f6ff62955d31' class='xr-var-data-in' type='checkbox'><label for='data-ba47f9c8-05ed-4738-a1d0-f6ff62955d31' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height anomaly quality flag</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_large_ssh_delta suspect_large_ssh_std suspect_large_ssh_window_std suspect_beam_used suspect_less_than_nine_beams suspect_ssb_out_of_range suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_ssb_not_computable degraded_media_delays_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_tide_corrections_missing bad_ssb_missing bad_radiometer_corr_missing bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         1          2          4          8         16         64\n",
       "        128        256        512       1024       2048       4096\n",
       "       8192      32768      65536     131072     262144     524288\n",
       "   16777216   33554432   67108864  134217728  268435456  536870912\n",
       " 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>4279222239</dd><dt><span>comment :</span></dt><dd>Quality flag for the SSHA from KaRIn in the ssha_karin variable.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssh_karin_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-b900d69e-202c-4a8b-bdf1-68a67058bf5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b900d69e-202c-4a8b-bdf1-68a67058bf5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e947dba5-9c04-4023-977f-865c93e978e7' class='xr-var-data-in' type='checkbox'><label for='data-e947dba5-9c04-4023-977f-865c93e978e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height</dd><dt><span>standard_name :</span></dt><dd>sea surface height above reference ellipsoid</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>-15000000</dd><dt><span>valid_max :</span></dt><dd>150000000</dd><dt><span>comment :</span></dt><dd>Fully corrected sea surface height measured by KaRIn. The height is relative to the reference ellipsoid defined in the global attributes. This value is computed using model-based estimates for wet troposphere effects on the KaRIn measurement (e.g., model_wet_tropo_cor and sea_state_bias_cor_2).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssh_karin_2_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-422bccd5-8c1f-439c-b1f8-1df20760a834' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-422bccd5-8c1f-439c-b1f8-1df20760a834' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64fc053e-f7a9-41a3-ac39-8b7512b1254c' class='xr-var-data-in' type='checkbox'><label for='data-64fc053e-f7a9-41a3-ac39-8b7512b1254c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for sea surface height from KaRIn</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_large_ssh_delta suspect_large_ssh_std suspect_large_ssh_window_std suspect_beam_used suspect_less_than_nine_beams suspect_ssb_out_of_range suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_ssb_not_computable degraded_media_delays_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         1          2          4          8         16         64\n",
       "        128        256        512       1024       2048       4096\n",
       "       8192      32768      65536     131072     262144     524288\n",
       "   16777216   33554432  536870912 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>3809460191</dd><dt><span>comment :</span></dt><dd>Quality flag for sea surface height from KaRIn in ssh_karin_2 variable.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
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       "\n",
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       "\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssha_karin_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-b5faec28-e19f-490b-984a-95c21becf00e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5faec28-e19f-490b-984a-95c21becf00e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1009c273-d58a-4cf3-9e7e-e0987f73d174' class='xr-var-data-in' type='checkbox'><label for='data-1009c273-d58a-4cf3-9e7e-e0987f73d174' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height anomaly</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssha_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>-1000000</dd><dt><span>valid_max :</span></dt><dd>1000000</dd><dt><span>comment :</span></dt><dd>Sea surface height anomaly from the KaRIn measurement = ssh_karin_2 - mean_sea_surface_cnescls - solid_earth_tide - ocean_tide_fes – internal_tide_hret - pole_tide - dac.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssha_karin_2_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-cfaf875d-16d4-4f61-b2c6-d654bd7283f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cfaf875d-16d4-4f61-b2c6-d654bd7283f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c3ae216-4f1c-438b-ad65-5664f68ab350' class='xr-var-data-in' type='checkbox'><label for='data-5c3ae216-4f1c-438b-ad65-5664f68ab350' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height anomaly quality flag</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_large_ssh_delta suspect_large_ssh_std suspect_large_ssh_window_std suspect_beam_used suspect_less_than_nine_beams suspect_ssb_out_of_range suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_ssb_not_computable degraded_media_delays_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_tide_corrections_missing bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         1          2          4          8         16         64\n",
       "        128        256        512       1024       2048       4096\n",
       "       8192      32768      65536     131072     262144     524288\n",
       "   16777216   33554432   67108864  536870912 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>3876569055</dd><dt><span>comment :</span></dt><dd>Quality flag for the SSHA from KaRIn in the ssha_karin_2 variable</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>polarization_karin</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 2), meta=np.ndarray&gt;</div><input id='attrs-bb23fb56-5b35-4cda-8642-27e621d251c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb23fb56-5b35-4cda-8642-27e621d251c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2010191-9538-40bc-bfe2-78ec84d250b7' class='xr-var-data-in' type='checkbox'><label for='data-b2010191-9538-40bc-bfe2-78ec84d250b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>polarization for each side of the KaRIn swath</dd><dt><span>comment :</span></dt><dd>H denotes co-polarized linear horizontal, V denotes co-polarized linear vertical.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 154.16 kiB </td>\n",
       "                        <td> 154.16 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 2) </td>\n",
       "                        <td> (9866, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> object numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_karin</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-c0c0d7e9-42f7-4159-b883-f2a47d70ba86' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0c0d7e9-42f7-4159-b883-f2a47d70ba86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f3a6ccd-2a0f-4589-bd35-4c4dbfc2529f' class='xr-var-data-in' type='checkbox'><label for='data-0f3a6ccd-2a0f-4589-bd35-4c4dbfc2529f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>significant wave height from KaRIn</dd><dt><span>standard_name :</span></dt><dd>sea_surface_wave_significant_height</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>swh_karin_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>15000</dd><dt><span>comment :</span></dt><dd>Significant wave height from KaRIn volumetric correlation.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_karin_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-f16c9a96-43c8-4025-bacd-ad5312401503' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f16c9a96-43c8-4025-bacd-ad5312401503' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9aa5baf1-97e1-4b69-82f9-323a0f5b5449' class='xr-var-data-in' type='checkbox'><label for='data-9aa5baf1-97e1-4b69-82f9-323a0f5b5449' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for significant wave height from KaRIn.</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_beam_used suspect_less_than_nine_beams suspect_rain_likely suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         8         16         32        128        256        512\n",
       "       1024       2048       4096       8192     131072     262144\n",
       "     524288   16777216   33554432  536870912 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>3809361848</dd><dt><span>comment :</span></dt><dd>Quality flag for significant wave height from KaRIn in swh_karin_qual variable.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_karin_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-6fa2e6fb-265b-4c80-9268-11f2feab23f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6fa2e6fb-265b-4c80-9268-11f2feab23f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-414db08e-a14f-408e-852d-84fde8038f19' class='xr-var-data-in' type='checkbox'><label for='data-414db08e-a14f-408e-852d-84fde8038f19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>1-sigma uncertainty on significant wave height from KaRIn</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>25000</dd><dt><span>comment :</span></dt><dd>1-sigma uncertainty on significant wave height from KaRIn.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_karin</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-c60548d6-8122-431c-9e96-256d1d018cad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c60548d6-8122-431c-9e96-256d1d018cad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2c769c0-c114-44db-8379-861a6984f7ac' class='xr-var-data-in' type='checkbox'><label for='data-b2c769c0-c114-44db-8379-861a6984f7ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>normalized radar cross section (sigma0) from KaRIn</dd><dt><span>standard_name :</span></dt><dd>surface_backwards_scattering_coefficient_of_radar_wave</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>quality_flag :</span></dt><dd>sig0_karin_qual</dd><dt><span>valid_min :</span></dt><dd>-1000.0</dd><dt><span>valid_max :</span></dt><dd>10000000.0</dd><dt><span>comment :</span></dt><dd>Normalized radar cross section (sigma0) from KaRIn in real, linear units (not decibels).  The value may be negative due to noise subtraction.  The value is corrected for instrument calibration and atmospheric attenuation. Radiometer measurements provide the atmospheric attenuation (sig0_cor_atmos_rad).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_karin_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-0823bec5-a04a-4f35-8e91-560c527113c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0823bec5-a04a-4f35-8e91-560c527113c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e39eb46-b79d-4a45-ba81-7bf59dd135b7' class='xr-var-data-in' type='checkbox'><label for='data-6e39eb46-b79d-4a45-ba81-7bf59dd135b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for sigma0 from KaRIn.</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_large_nrcs_delta suspect_large_nrcs_std suspect_large_nrcs_window_std suspect_beam_used suspect_less_than_nine_beams suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_media_attenuation_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_radiometer_media_attenuation_missing bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         1          2          4          8         16        128\n",
       "        256        512       1024       2048       4096       8192\n",
       "      65536     131072     262144     524288   16777216   33554432\n",
       "  268435456  536870912 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>4077862815</dd><dt><span>comment :</span></dt><dd>Quality flag for sigma0 from KaRIn in sig0_karin_qual variable.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_karin_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-54537ed9-f6a7-4299-a98e-cfc0a73a882c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54537ed9-f6a7-4299-a98e-cfc0a73a882c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efc29ad9-f586-4a1f-b158-3e3e219b458c' class='xr-var-data-in' type='checkbox'><label for='data-efc29ad9-f586-4a1f-b158-3e3e219b458c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>1-sigma uncertainty on sigma0 from KaRIn</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>valid_max :</span></dt><dd>1000.0</dd><dt><span>comment :</span></dt><dd>1-sigma uncertainty on sigma0 from KaRIn.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                        <td> 2.60 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_karin_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-c5591dba-256e-4681-a8d7-4b09e4505598' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c5591dba-256e-4681-a8d7-4b09e4505598' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de036d92-fabe-4a5f-baaf-046aa409fd0d' class='xr-var-data-in' type='checkbox'><label for='data-de036d92-fabe-4a5f-baaf-046aa409fd0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>normalized radar cross section (sigma0) from KaRIn</dd><dt><span>standard_name :</span></dt><dd>surface_backwards_scattering_coefficient_of_radar_wave</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>quality_flag :</span></dt><dd>sig0_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>-1000.0</dd><dt><span>valid_max :</span></dt><dd>10000000.0</dd><dt><span>comment :</span></dt><dd>Normalized radar cross section (sigma0) from KaRIn in real, linear units (not decibels).  The value may be negative due to noise subtraction.  The value is corrected for instrument calibration and atmospheric attenuation. A meteorological model provides the atmospheric attenuation (sig0_cor_atmos_model).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                        <td> 2.60 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_karin_2_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-1bff37bd-adf7-4cb9-a1fe-c1c65563ca1a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1bff37bd-adf7-4cb9-a1fe-c1c65563ca1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9869251f-c1bb-4ee4-b00e-369c02c712b5' class='xr-var-data-in' type='checkbox'><label for='data-9869251f-c1bb-4ee4-b00e-369c02c712b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for sigma0 from KaRIn.</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_large_nrcs_delta suspect_large_nrcs_std suspect_large_nrcs_window_std suspect_beam_used suspect_less_than_nine_beams suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_media_attenuation_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         1          2          4          8         16        128\n",
       "        256        512       1024       2048       4096       8192\n",
       "      65536     131072     262144     524288   16777216   33554432\n",
       "  536870912 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>3809427359</dd><dt><span>comment :</span></dt><dd>Quality flag for sigma0 from KaRIn in sig0_karin_2 variable.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_karin</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-62cd683c-09fa-4654-bbd7-58f73832da7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62cd683c-09fa-4654-bbd7-58f73832da7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9511e692-9fcb-4e33-9444-ca5fe24b4ba5' class='xr-var-data-in' type='checkbox'><label for='data-9511e692-9fcb-4e33-9444-ca5fe24b4ba5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wind speed from KaRIn</dd><dt><span>standard_name :</span></dt><dd>wind_speed</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>quality_flag :</span></dt><dd>wind_speed_karin_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>65000</dd><dt><span>comment :</span></dt><dd>Wind speed from KaRIn computed from sig0_karin.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                    <tr>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_karin_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-65b486b8-e865-43ea-b909-a2267039aa84' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65b486b8-e865-43ea-b909-a2267039aa84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8642a283-0224-4d26-b691-a421a62322de' class='xr-var-data-in' type='checkbox'><label for='data-8642a283-0224-4d26-b691-a421a62322de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for wind speed from KaRIn.</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_beam_used suspect_less_than_nine_beams suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_media_attenuation_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_radiometer_media_attenuation_missing bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         8         16        128        256        512       1024\n",
       "       2048       4096       8192      65536     131072     262144\n",
       "     524288   16777216   33554432  268435456  536870912 1073741824\n",
       " 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>4077862808</dd><dt><span>comment :</span></dt><dd>Quality flag for wind speed from KaRIn in wind_speed_karin variable.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                        <th> Array </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_karin_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-58908b8a-84ba-41da-967a-ef760f48e11b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58908b8a-84ba-41da-967a-ef760f48e11b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc64c36c-6ba1-44f0-8f47-323746cc9e84' class='xr-var-data-in' type='checkbox'><label for='data-fc64c36c-6ba1-44f0-8f47-323746cc9e84' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wind speed from KaRIn</dd><dt><span>standard_name :</span></dt><dd>wind_speed</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>quality_flag :</span></dt><dd>wind_speed_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>65000</dd><dt><span>comment :</span></dt><dd>Wind speed from KaRIn computed from sig0_karin_2.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_karin_2_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-6c9e36cf-1b52-41a2-b45a-49a128e0833a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c9e36cf-1b52-41a2-b45a-49a128e0833a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5362471-1569-4336-a6f5-c1baa3d9ba86' class='xr-var-data-in' type='checkbox'><label for='data-a5362471-1569-4336-a6f5-c1baa3d9ba86' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for wind speed from KaRIn.</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_beam_used suspect_less_than_nine_beams suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_media_attenuation_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         8         16        128        256        512       1024\n",
       "       2048       4096       8192      65536     131072     262144\n",
       "     524288   16777216   33554432  536870912 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>3809427352</dd><dt><span>comment :</span></dt><dd>Quality flag for wind speed from KaRIn in wind_speed_karin_2 variable.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                        <th> Array </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>num_pt_avg</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-f91a104f-429c-4b85-b498-950aa5867d34' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f91a104f-429c-4b85-b498-950aa5867d34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75071cbe-f7ee-4c71-a881-0f6d83ca9ee5' class='xr-var-data-in' type='checkbox'><label for='data-75071cbe-f7ee-4c71-a881-0f6d83ca9ee5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of samples averaged</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>289</dd><dt><span>comment :</span></dt><dd>Number of native unsmoothed, beam-combined KaRIn samples averaged.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                    <tr>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_wind_speed_karin_source</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-61efff3e-b726-42b8-a5c5-b894cfb521df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61efff3e-b726-42b8-a5c5-b894cfb521df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f55ae8a8-797d-4bcf-81f0-bd2f1bbd1684' class='xr-var-data-in' type='checkbox'><label for='data-f55ae8a8-797d-4bcf-81f0-bd2f1bbd1684' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>source flag for significant wave height information used to compute wind speed from KaRIn</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>nadir_altimeter karin model</dd><dt><span>flag_masks :</span></dt><dd>[1 2 4]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>7</dd><dt><span>comment :</span></dt><dd>Bit flag that indicates the source of significant wave height information that was used to compute the wind speed estimate from KaRIn data in wind_speed_karin.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_wind_speed_karin_source_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-747b0466-e8ec-4e35-a249-4e4b7e818f3d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-747b0466-e8ec-4e35-a249-4e4b7e818f3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ece4a5ff-89b0-4ee0-b27f-38d2d431fca7' class='xr-var-data-in' type='checkbox'><label for='data-ece4a5ff-89b0-4ee0-b27f-38d2d431fca7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>source flag for significant wave height information used to compute wind speed from KaRIn</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>nadir_altimeter karin model</dd><dt><span>flag_masks :</span></dt><dd>[1 2 4]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>7</dd><dt><span>comment :</span></dt><dd>Bit flag that indicates the source of significant wave height information that was used to compute the wind speed estimate from KaRIn data in wind_speed_karin_2.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                        <td> 2.60 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                </tbody>\n",
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       "        </td>\n",
       "        <td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_nadir_altimeter</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-ee228e07-4208-4f6f-a46d-b804e3a5dc13' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee228e07-4208-4f6f-a46d-b804e3a5dc13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37633437-c2d3-4f22-b859-61779c082aa2' class='xr-var-data-in' type='checkbox'><label for='data-37633437-c2d3-4f22-b859-61779c082aa2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>significant wave height from nadir altimeter</dd><dt><span>standard_name :</span></dt><dd>sea_surface_wave_significant_height</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>15000</dd><dt><span>comment :</span></dt><dd>Significant wave height from nadir altimeter.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                        <th> Array </th>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        <td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_model</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-a5793743-523d-4f92-b366-2b65e56fdbe8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a5793743-523d-4f92-b366-2b65e56fdbe8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1731a0b2-b5aa-42ec-9d2e-fe05bda53543' class='xr-var-data-in' type='checkbox'><label for='data-1731a0b2-b5aa-42ec-9d2e-fe05bda53543' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>significant wave height from wave model</dd><dt><span>standard_name :</span></dt><dd>sea_surface_wave_significant_height</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>15000</dd><dt><span>comment :</span></dt><dd>Significant wave height from model.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        <td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_direction</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-7a1760f1-04f0-497b-a008-954f87a9858b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a1760f1-04f0-497b-a008-954f87a9858b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6827069-3d44-4fc9-939a-13221ea64bd5' class='xr-var-data-in' type='checkbox'><label for='data-e6827069-3d44-4fc9-939a-13221ea64bd5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean sea surface wave direction</dd><dt><span>source :</span></dt><dd>Meteo France Wave Model (MF-WAM)</dd><dt><span>institution :</span></dt><dd>Meteo France</dd><dt><span>units :</span></dt><dd>degree</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>36000</dd><dt><span>comment :</span></dt><dd>Mean sea surface wave direction.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        <td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_period_t02</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-9fa164a4-7243-4511-9199-9a665383b360' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9fa164a4-7243-4511-9199-9a665383b360' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ade5641e-20b1-4d9f-ba58-a00c90914df3' class='xr-var-data-in' type='checkbox'><label for='data-ade5641e-20b1-4d9f-ba58-a00c90914df3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>t02 mean wave period</dd><dt><span>standard_name :</span></dt><dd>sea_surface_wind_wave_mean_period_from_variance_spectral_density_second_frequency_moment</dd><dt><span>source :</span></dt><dd>Meteo France Wave Model (MF-WAM)</dd><dt><span>institution :</span></dt><dd>Meteo France</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Sea surface wind wave mean period from model spectral density second moment.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "        <td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_model_u</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-b603a3b2-902f-43e0-bb0a-2c2297eb0c8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b603a3b2-902f-43e0-bb0a-2c2297eb0c8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c851e84b-4226-494a-8bda-693f8d2cda68' class='xr-var-data-in' type='checkbox'><label for='data-c851e84b-4226-494a-8bda-693f8d2cda68' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>u component of model wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_min :</span></dt><dd>-30000</dd><dt><span>valid_max :</span></dt><dd>30000</dd><dt><span>comment :</span></dt><dd>Eastward component of the atmospheric model wind vector at 10 meters.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
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       "                <tbody>\n",
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       "                        <td> 5.19 MiB </td>\n",
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       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_model_v</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-78ef0197-ccc2-4234-8418-d11931da5157' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78ef0197-ccc2-4234-8418-d11931da5157' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-199c1738-2ea2-4c66-a33c-a76ea010ddcd' class='xr-var-data-in' type='checkbox'><label for='data-199c1738-2ea2-4c66-a33c-a76ea010ddcd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>v component of model wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_min :</span></dt><dd>-30000</dd><dt><span>valid_max :</span></dt><dd>30000</dd><dt><span>comment :</span></dt><dd>Northward component of the atmospheric model wind vector at 10 meters.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_rad</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 2), meta=np.ndarray&gt;</div><input id='attrs-23ae5ec2-987e-4cb3-ad0e-511bc41a31e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23ae5ec2-987e-4cb3-ad0e-511bc41a31e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b11099b6-d4bf-4c91-b38b-64d2e34364f7' class='xr-var-data-in' type='checkbox'><label for='data-b11099b6-d4bf-4c91-b38b-64d2e34364f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wind speed from radiometer</dd><dt><span>standard_name :</span></dt><dd>wind_speed</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>65000</dd><dt><span>comment :</span></dt><dd>Wind speed from radiometer measurements.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 154.16 kiB </td>\n",
       "                        <td> 154.16 kiB </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>distance_to_coast</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-79ee1793-2b25-484a-a667-53eeaa5bdbc0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79ee1793-2b25-484a-a667-53eeaa5bdbc0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7aba2bba-723f-4e21-8d1b-dc1942f94420' class='xr-var-data-in' type='checkbox'><label for='data-7aba2bba-723f-4e21-8d1b-dc1942f94420' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>distance to coast</dd><dt><span>source :</span></dt><dd>MODIS/GlobCover</dd><dt><span>institution :</span></dt><dd>European Space Agency</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-21000</dd><dt><span>valid_max :</span></dt><dd>21000</dd><dt><span>comment :</span></dt><dd>Approximate distance to the nearest coast point along the Earth surface.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heading_to_coast</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-845f89a7-a89f-47e5-9aa7-6dabcc1d6244' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-845f89a7-a89f-47e5-9aa7-6dabcc1d6244' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddd6219c-9deb-44ec-864b-4506b0316a4e' class='xr-var-data-in' type='checkbox'><label for='data-ddd6219c-9deb-44ec-864b-4506b0316a4e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>heading to coast</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>35999</dd><dt><span>comment :</span></dt><dd>Approximate compass heading (0-360 degrees with respect to true north) to the nearest coast point.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ancillary_surface_classification_flag</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-b559a06e-85e8-4a58-8d11-7aed6179c109' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b559a06e-85e8-4a58-8d11-7aed6179c109' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e42b2f78-74b8-4231-884c-0e4a660aaa00' class='xr-var-data-in' type='checkbox'><label for='data-e42b2f78-74b8-4231-884c-0e4a660aaa00' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>surface classification</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>source :</span></dt><dd>MODIS/GlobCover</dd><dt><span>institution :</span></dt><dd>European Space Agency</dd><dt><span>flag_meanings :</span></dt><dd>open_ocean land continental_water aquatic_vegetation continental_ice_snow floating_ice salted_basin</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4 5 6]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>6</dd><dt><span>comment :</span></dt><dd>7-state surface type classification computed from a mask built with MODIS and GlobCover data.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
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       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dynamic_ice_flag</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-e5da2bf4-6d35-43b3-a9bd-fe17eca4f9ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5da2bf4-6d35-43b3-a9bd-fe17eca4f9ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3597fcbf-d9d3-4f37-b93a-fb540e4a343a' class='xr-var-data-in' type='checkbox'><label for='data-3597fcbf-d9d3-4f37-b93a-fb540e4a343a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>dynamic ice flag</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>source :</span></dt><dd>EUMETSAT Ocean and Sea Ice Satellite Applications Facility</dd><dt><span>institution :</span></dt><dd>EUMETSAT</dd><dt><span>flag_meanings :</span></dt><dd>no_ice probable_ice ice no_data</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>3</dd><dt><span>comment :</span></dt><dd>Dynamic ice flag for the location of the KaRIn measurement.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                        <td> 2.60 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        </td>\n",
       "        <td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rain_flag</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-92864157-7242-4b64-878e-f2dc53ea3115' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92864157-7242-4b64-878e-f2dc53ea3115' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0286fadf-d020-4a5f-b9a3-b80135ce5f32' class='xr-var-data-in' type='checkbox'><label for='data-0286fadf-d020-4a5f-b9a3-b80135ce5f32' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>rain flag</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>no_rain probable_rain rain no_data</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>3</dd><dt><span>comment :</span></dt><dd>Flag indicates that signal is attenuated, probably from rain.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                        <td> 2.60 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_surface_type_flag</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 2), meta=np.ndarray&gt;</div><input id='attrs-a1f6ab41-83e0-465b-ab51-b02b729c2065' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1f6ab41-83e0-465b-ab51-b02b729c2065' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c931662-b3e2-47b2-bc29-93f2db437f20' class='xr-var-data-in' type='checkbox'><label for='data-3c931662-b3e2-47b2-bc29-93f2db437f20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radiometer surface type flag</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>flag_meanings :</span></dt><dd>open_ocean coastal_ocean land</dd><dt><span>flag_values :</span></dt><dd>[0 1 2]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2</dd><dt><span>comment :</span></dt><dd>Flag indicating the validity and type of processing applied to generate the wet troposphere correction (rad_wet_tropo_cor). A value of 0 indicates that open ocean processing is used, a value of 1 indicates coastal processing, and a value of 2 indicates that rad_wet_tropo_cor is invalid due to land contamination.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                        <td> 77.08 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 2) </td>\n",
       "                        <td> (9866, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sc_altitude</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;</div><input id='attrs-27dd1fa0-c764-4419-86b5-f47a62e2c7e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27dd1fa0-c764-4419-86b5-f47a62e2c7e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76dec72b-af85-4d13-9433-d56f7dbdf75a' class='xr-var-data-in' type='checkbox'><label for='data-76dec72b-af85-4d13-9433-d56f7dbdf75a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>altitude of KMSF origin</dd><dt><span>standard_name :</span></dt><dd>height_above_reference_ellipsoid</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>orbit_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2000000000</dd><dt><span>comment :</span></dt><dd>Altitude of the KMSF origin.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866,) </td>\n",
       "                        <td> (9866,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orbit_alt_rate</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;</div><input id='attrs-890ea52a-8ceb-4c03-8f8e-3a334172b7ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-890ea52a-8ceb-4c03-8f8e-3a334172b7ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88d87140-5072-4555-8b5f-0c181460e638' class='xr-var-data-in' type='checkbox'><label for='data-88d87140-5072-4555-8b5f-0c181460e638' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>orbital altitude rate with respect to mean sea surface</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_min :</span></dt><dd>-3500</dd><dt><span>valid_max :</span></dt><dd>3500</dd><dt><span>comment :</span></dt><dd>Orbital altitude rate with respect to the mean sea surface.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866,) </td>\n",
       "                        <td> (9866,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cross_track_angle</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;</div><input id='attrs-6f29afae-1d13-4a66-a093-83ee25171f35' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f29afae-1d13-4a66-a093-83ee25171f35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa9d5ca0-890a-4423-b708-39f132842c3f' class='xr-var-data-in' type='checkbox'><label for='data-fa9d5ca0-890a-4423-b708-39f132842c3f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>cross-track angle from true north</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>359999999</dd><dt><span>comment :</span></dt><dd>Angle with respect to true north of the cross-track direction to the right of the spacecraft velocity vector.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                    <tr>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                        <td> 77.08 kiB </td>\n",
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       "                        <td> (9866,) </td>\n",
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       "                    <tr>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sc_roll</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;</div><input id='attrs-31f63357-e697-41f3-a8b3-0cfae0c8ba80' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31f63357-e697-41f3-a8b3-0cfae0c8ba80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ae2bcc9-e616-4ffc-95e6-e141a981bfef' class='xr-var-data-in' type='checkbox'><label for='data-0ae2bcc9-e616-4ffc-95e6-e141a981bfef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>roll of the spacecraft</dd><dt><span>standard_name :</span></dt><dd>platform_roll_angle</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>quality_flag :</span></dt><dd>orbit_qual</dd><dt><span>valid_min :</span></dt><dd>-1799999</dd><dt><span>valid_max :</span></dt><dd>1800000</dd><dt><span>comment :</span></dt><dd>KMSF attitude roll angle; positive values move the +y antenna down.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                        <td> 77.08 kiB </td>\n",
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       "                        <td> (9866,) </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sc_pitch</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;</div><input id='attrs-e6fdb6b6-c45b-40b1-9baa-56dfd9384a9e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6fdb6b6-c45b-40b1-9baa-56dfd9384a9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be48f8b6-8e46-4216-8baa-ab90b72987d3' class='xr-var-data-in' type='checkbox'><label for='data-be48f8b6-8e46-4216-8baa-ab90b72987d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pitch of the spacecraft</dd><dt><span>standard_name :</span></dt><dd>platform_pitch_angle</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>quality_flag :</span></dt><dd>orbit_qual</dd><dt><span>valid_min :</span></dt><dd>-1799999</dd><dt><span>valid_max :</span></dt><dd>1800000</dd><dt><span>comment :</span></dt><dd>KMSF attitude pitch angle; positive values move the KMSF +x axis up.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 77.08 kiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sc_yaw</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;</div><input id='attrs-89cd6efd-9f22-4d32-af2f-539cddf906b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89cd6efd-9f22-4d32-af2f-539cddf906b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb01ec05-7b56-4362-8dc9-13c8ecac2b06' class='xr-var-data-in' type='checkbox'><label for='data-bb01ec05-7b56-4362-8dc9-13c8ecac2b06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>yaw of the spacecraft</dd><dt><span>standard_name :</span></dt><dd>platform_yaw_angle</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>quality_flag :</span></dt><dd>orbit_qual</dd><dt><span>valid_min :</span></dt><dd>-1799999</dd><dt><span>valid_max :</span></dt><dd>1800000</dd><dt><span>comment :</span></dt><dd>KMSF attitude yaw angle relative to the nadir track. The yaw angle is a right-handed rotation about the nadir (downward) direction. A yaw value of 0 deg indicates that the KMSF +x axis is aligned with the horizontal component of the Earth-relative velocity vector. A yaw value of 180 deg indicates that the spacecraft is in a yaw-flipped state, with the KMSF -x axis aligned with the horizontal component of the Earth-relative velocity vector.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 77.08 kiB </td>\n",
       "                        <td> 77.08 kiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velocity_heading</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;</div><input id='attrs-a434ac34-b0b1-48f0-bf65-3bfb561101b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a434ac34-b0b1-48f0-bf65-3bfb561101b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f59c52d-f84a-4ec0-875c-3903f9f5f5a5' class='xr-var-data-in' type='checkbox'><label for='data-5f59c52d-f84a-4ec0-875c-3903f9f5f5a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>heading of the spacecraft Earth-relative velocity vector</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>quality_flag :</span></dt><dd>orbit_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>359999999</dd><dt><span>comment :</span></dt><dd>Angle with respect to true north of the horizontal component of the spacecraft Earth-relative velocity vector. A value of 90 deg indicates that the spacecraft velocity vector pointed due east. Values between 0 and 90 deg indicate that the velocity vector has a northward component, and values between 90 and 180 deg indicate that the velocity vector has a southward component.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 77.08 kiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orbit_qual</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866,), meta=np.ndarray&gt;</div><input id='attrs-e4f85b65-a9f2-4fb6-a564-731d8099fd10' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4f85b65-a9f2-4fb6-a564-731d8099fd10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3613d5f8-7d0c-4bcc-b3fd-c29fc0cd1e44' class='xr-var-data-in' type='checkbox'><label for='data-3613d5f8-7d0c-4bcc-b3fd-c29fc0cd1e44' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>orbit quality flag</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>good orbit_estimated_during_a_maneuver orbit_interpolated_over_data_gap orbit_extrapolated_for_a_duration_less_than_1_day orbit_extrapolated_for_a_duration_between_1_to_2_days orbit_extrapolated_for_a_duration_greater_than_2_days bad_attitude</dd><dt><span>flag_values :</span></dt><dd>[ 0  4  5  6  7  8 64]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>64</dd><dt><span>comment :</span></dt><dd>Flag indicating the quality of the reconstructed attitude and orbit ephemeris. A value of 0 indicates the reconstructed attitude and orbit ephemeris are both good. Non-zero values less than 64 indicate that the reconstructed attitude is good but there are issues that degrade the quality of the orbit ephemeris. A value of 64 indicates that the reconstructed attitude is degraded or bad.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 38.54 kiB </td>\n",
       "                        <td> 38.54 kiB </td>\n",
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       "                    <tr>\n",
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       "                        <td> (9866,) </td>\n",
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       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude_avg_ssh</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-86e59648-fbee-4d4a-b70d-beb7bc354dc0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86e59648-fbee-4d4a-b70d-beb7bc354dc0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7af444e5-fea8-434d-b4a2-b90f132d4660' class='xr-var-data-in' type='checkbox'><label for='data-7af444e5-fea8-434d-b4a2-b90f132d4660' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>weighted average latitude of samples used to compute SSH</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_min :</span></dt><dd>-80000000</dd><dt><span>valid_max :</span></dt><dd>80000000</dd><dt><span>comment :</span></dt><dd>Latitude of measurement [-80,80]. Positive latitude is North latitude, negative latitude is South latitude.  This value may be biased away from a nominal grid location if some of the native, unsmoothed samples were discarded during processing.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                        <th> Array </th>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude_avg_ssh</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-3573e3bb-8ec3-46f3-ad1f-bb5d2d396ee0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3573e3bb-8ec3-46f3-ad1f-bb5d2d396ee0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b24b1847-fd46-4aa2-8741-3c32781f2274' class='xr-var-data-in' type='checkbox'><label for='data-b24b1847-fd46-4aa2-8741-3c32781f2274' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>weighted average longitude of samples used to compute SSH</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>359999999</dd><dt><span>comment :</span></dt><dd>Longitude of measurement. East longitude relative to Greenwich meridian.  This value may be biased away from a nominal grid location if some of the native, unsmoothed samples were discarded during processing.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cross_track_distance</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-d7713d84-3616-4f4a-9d6f-63a6bb1a38a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7713d84-3616-4f4a-9d6f-63a6bb1a38a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6fa0634b-d875-40c4-88a9-2ca60736607f' class='xr-var-data-in' type='checkbox'><label for='data-6fa0634b-d875-40c4-88a9-2ca60736607f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>cross track distance</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-75000.0</dd><dt><span>valid_max :</span></dt><dd>75000.0</dd><dt><span>comment :</span></dt><dd>Distance of sample from nadir. Negative values indicate the left side of the swath, and positive values indicate the right side of the swath.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
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       "                        <th> Array </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x_factor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-17b17088-13d2-44b2-9f2b-c1bb87544c14' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-17b17088-13d2-44b2-9f2b-c1bb87544c14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6006389d-fc40-4778-a633-4ca8b6e8c17c' class='xr-var-data-in' type='checkbox'><label for='data-6006389d-fc40-4778-a633-4ca8b6e8c17c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radiometric calibration X factor as a composite value for the X factors of the +y and -y channels</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>valid_max :</span></dt><dd>1e+20</dd><dt><span>comment :</span></dt><dd>Radiometric calibration X factor as a linear power ratio.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_cor_atmos_model</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-2b848075-2264-4da6-a257-3592f6eac2c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b848075-2264-4da6-a257-3592f6eac2c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-edbbb62b-6837-48b1-97c5-b83c58df5191' class='xr-var-data-in' type='checkbox'><label for='data-edbbb62b-6837-48b1-97c5-b83c58df5191' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>two-way atmospheric correction to sigma0 from model</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>quality_flag :</span></dt><dd>sig0_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>1.0</dd><dt><span>valid_max :</span></dt><dd>10.0</dd><dt><span>comment :</span></dt><dd>Atmospheric correction to sigma0 from weather model data as a linear power multiplier (not decibels). sig0_cor_atmos_model is already applied in computing sig0_karin_2.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                        <td> 2.60 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_cor_atmos_rad</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-963162e7-6c24-4a25-a70c-9e40876179ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-963162e7-6c24-4a25-a70c-9e40876179ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1892f8e6-aa03-4732-b3cf-7ee6eb69abae' class='xr-var-data-in' type='checkbox'><label for='data-1892f8e6-aa03-4732-b3cf-7ee6eb69abae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>two-way atmospheric correction to sigma0 from radiometer data</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>quality_flag :</span></dt><dd>sig0_karin_qual</dd><dt><span>valid_min :</span></dt><dd>1.0</dd><dt><span>valid_max :</span></dt><dd>10.0</dd><dt><span>comment :</span></dt><dd>Atmospheric correction to sigma0 from radiometer data as a linear power multiplier (not decibels). sig0_cor_atmos_rad is already applied in computing sig0_karin.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                        <td> 2.60 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>doppler_centroid</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-2f8ddef1-0946-4af1-94a0-9a28ebde59ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f8ddef1-0946-4af1-94a0-9a28ebde59ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f31cf23-e97d-4005-babd-aa2cfd96d0c3' class='xr-var-data-in' type='checkbox'><label for='data-5f31cf23-e97d-4005-babd-aa2cfd96d0c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>doppler centroid estimated by KaRIn</dd><dt><span>units :</span></dt><dd>1/s</dd><dt><span>valid_min :</span></dt><dd>-30000</dd><dt><span>valid_max :</span></dt><dd>30000</dd><dt><span>comment :</span></dt><dd>Doppler centroid (in hertz or cycles per second) estimated by KaRIn.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>phase_bias_ref_surface</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-f21e8e36-2842-45d6-bb67-d9735cddde6a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f21e8e36-2842-45d6-bb67-d9735cddde6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5998d8a1-87b1-4eb8-8e41-528519a00e44' class='xr-var-data-in' type='checkbox'><label for='data-5998d8a1-87b1-4eb8-8e41-528519a00e44' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>height of reference surface used for phase bias calculation</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-15000000</dd><dt><span>valid_max :</span></dt><dd>150000000</dd><dt><span>comment :</span></dt><dd>Height (relative to the reference ellipsoid) of the reference surface used for phase bias calculation during L1B processing.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "\n",
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       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>obp_ref_surface</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-b0946864-22e7-45d7-9cb5-e4572c7c8353' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0946864-22e7-45d7-9cb5-e4572c7c8353' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e26eb2b-7a62-4045-96c7-5d48ea2d36a9' class='xr-var-data-in' type='checkbox'><label for='data-0e26eb2b-7a62-4045-96c7-5d48ea2d36a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>height of reference surface used by on-board-processor</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-15000000</dd><dt><span>valid_max :</span></dt><dd>150000000</dd><dt><span>comment :</span></dt><dd>Height (relative to the reference ellipsoid) of the reference surface used by the KaRIn on-board processor.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_tmb_187</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 2), meta=np.ndarray&gt;</div><input id='attrs-8fae4ceb-5cfb-4daf-ba33-486a0bdc0fbe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8fae4ceb-5cfb-4daf-ba33-486a0bdc0fbe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6cb87ab8-9ef0-401a-8ec6-483373f083f8' class='xr-var-data-in' type='checkbox'><label for='data-6cb87ab8-9ef0-401a-8ec6-483373f083f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radiometer main beam brightness temperature at 18.7 GHz</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>valid_min :</span></dt><dd>13000</dd><dt><span>valid_max :</span></dt><dd>25000</dd><dt><span>comment :</span></dt><dd>Main beam brightness temperature measurement at 18.7 GHz. Value is unsmoothed (along-track averaging has not been performed).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 154.16 kiB </td>\n",
       "                        <td> 154.16 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 2) </td>\n",
       "                        <td> (9866, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_tmb_238</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 2), meta=np.ndarray&gt;</div><input id='attrs-401b59ed-9c1f-4fee-b8b3-1dda45e04535' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-401b59ed-9c1f-4fee-b8b3-1dda45e04535' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5584126d-e11b-4ad8-ac0f-9e5db92020eb' class='xr-var-data-in' type='checkbox'><label for='data-5584126d-e11b-4ad8-ac0f-9e5db92020eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radiometer main beam brightness temperature at 23.8 GHz</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>valid_min :</span></dt><dd>13000</dd><dt><span>valid_max :</span></dt><dd>25000</dd><dt><span>comment :</span></dt><dd>Main beam brightness temperature measurement at 23.8 GHz. Value is unsmoothed (along-track averaging has not been performed).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 154.16 kiB </td>\n",
       "                        <td> 154.16 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 2) </td>\n",
       "                        <td> (9866, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "        <td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_tmb_340</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 2), meta=np.ndarray&gt;</div><input id='attrs-a0f27c88-e1d4-4ea1-b380-6666ffedeea4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0f27c88-e1d4-4ea1-b380-6666ffedeea4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e123652c-4485-4c5c-8977-212513af1f98' class='xr-var-data-in' type='checkbox'><label for='data-e123652c-4485-4c5c-8977-212513af1f98' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radiometer main beam brightness temperature at 34.0 GHz</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>valid_min :</span></dt><dd>15000</dd><dt><span>valid_max :</span></dt><dd>28000</dd><dt><span>comment :</span></dt><dd>Main beam brightness temperature measurement at 34.0 GHz. Value is unsmoothed (along-track averaging has not been performed).</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 154.16 kiB </td>\n",
       "                        <td> 154.16 kiB </td>\n",
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       "                        <th> Shape </th>\n",
       "                        <td> (9866, 2) </td>\n",
       "                        <td> (9866, 2) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_water_vapor</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 2), meta=np.ndarray&gt;</div><input id='attrs-b7f44f92-b07c-4bd6-a418-14e4157e3ff1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b7f44f92-b07c-4bd6-a418-14e4157e3ff1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13b0eb32-52e4-4f5c-b10d-fd7bf0cd2bbd' class='xr-var-data-in' type='checkbox'><label for='data-13b0eb32-52e4-4f5c-b10d-fd7bf0cd2bbd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>water vapor content from radiometer</dd><dt><span>standard_name :</span></dt><dd>atmosphere_water_vapor_content</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>kg/m^2</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>15000</dd><dt><span>comment :</span></dt><dd>Integrated water vapor content from radiometer measurements.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                    <tr>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 154.16 kiB </td>\n",
       "                        <td> 154.16 kiB </td>\n",
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       "                        <td> (9866, 2) </td>\n",
       "                        <td> (9866, 2) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_cloud_liquid_water</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 2), meta=np.ndarray&gt;</div><input id='attrs-7512c00b-376b-4f58-8bd4-49e357f8bb50' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7512c00b-376b-4f58-8bd4-49e357f8bb50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f07935cd-fcdd-4ece-b37e-a5e76a08a125' class='xr-var-data-in' type='checkbox'><label for='data-f07935cd-fcdd-4ece-b37e-a5e76a08a125' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>liquid water content from radiometer</dd><dt><span>standard_name :</span></dt><dd>atmosphere_cloud_liquid_water_content</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>kg/m^2</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Integrated cloud liquid water content from radiometer measurements.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 154.16 kiB </td>\n",
       "                        <td> 154.16 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 2) </td>\n",
       "                        <td> (9866, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "                </tbody>\n",
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       "        </td>\n",
       "        <td>\n",
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       "\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_sea_surface_cnescls</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-e114326e-ea50-4c68-ae94-969e5a98feee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e114326e-ea50-4c68-ae94-969e5a98feee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b31758d-ebdf-41a6-baa4-58ab16237945' class='xr-var-data-in' type='checkbox'><label for='data-3b31758d-ebdf-41a6-baa4-58ab16237945' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean sea surface height (CNES/CLS)</dd><dt><span>source :</span></dt><dd>CNES_CLS_2022</dd><dt><span>institution :</span></dt><dd>CNES/CLS</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-1500000</dd><dt><span>valid_max :</span></dt><dd>1500000</dd><dt><span>comment :</span></dt><dd>Mean sea surface height above the reference ellipsoid. The value is referenced to the mean tide system, i.e. includes the permanent tide (zero frequency).</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        <td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_sea_surface_cnescls_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-0549d2ca-a125-477e-8ff4-456e6e5560af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0549d2ca-a125-477e-8ff4-456e6e5560af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db29b8ff-a74f-442e-82f6-ccb0d33fe4b5' class='xr-var-data-in' type='checkbox'><label for='data-db29b8ff-a74f-442e-82f6-ccb0d33fe4b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean sea surface height accuracy (CNES/CLS)</dd><dt><span>source :</span></dt><dd>CNES_CLS_2022</dd><dt><span>institution :</span></dt><dd>CNES/CLS</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Accuracy of the mean sea surface height (mean_sea_surface_cnescls).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "  <text x=\"45.412617\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,45.412617,60.000000)\">9866</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_sea_surface_dtu</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-af7ebbaa-3529-4a5e-9d7b-7dab55c88f52' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af7ebbaa-3529-4a5e-9d7b-7dab55c88f52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95f1b975-51d3-4405-8f41-64daf2a87d1f' class='xr-var-data-in' type='checkbox'><label for='data-95f1b975-51d3-4405-8f41-64daf2a87d1f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean sea surface height (DTU)</dd><dt><span>source :</span></dt><dd>DTU18</dd><dt><span>institution :</span></dt><dd>DTU</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-1500000</dd><dt><span>valid_max :</span></dt><dd>1500000</dd><dt><span>comment :</span></dt><dd>Mean sea surface height above the reference ellipsoid. The value is referenced to the mean tide system, i.e. includes the permanent tide (zero frequency).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "\n",
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       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_sea_surface_dtu_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-34f5237d-9ffd-4190-ad0d-93f8d6748f53' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34f5237d-9ffd-4190-ad0d-93f8d6748f53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc45b82c-ce20-4c40-9251-94c8c50eaf64' class='xr-var-data-in' type='checkbox'><label for='data-bc45b82c-ce20-4c40-9251-94c8c50eaf64' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean sea surface height accuracy (DTU)</dd><dt><span>source :</span></dt><dd>DTU18</dd><dt><span>institution :</span></dt><dd>DTU</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Accuracy of the mean sea surface height (mean_sea_surface_dtu)</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geoid</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-df313562-fa24-479f-a78f-7dd9987cc967' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df313562-fa24-479f-a78f-7dd9987cc967' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c41f8fb2-cab5-41b9-be79-ab3cff8546fd' class='xr-var-data-in' type='checkbox'><label for='data-c41f8fb2-cab5-41b9-be79-ab3cff8546fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>geoid height</dd><dt><span>standard_name :</span></dt><dd>geoid_height_above_reference_ellipsoid</dd><dt><span>source :</span></dt><dd>EGM2008 (Pavlis et al., 2012)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-1500000</dd><dt><span>valid_max :</span></dt><dd>1500000</dd><dt><span>comment :</span></dt><dd>Geoid height above the reference ellipsoid with a correction to refer the value to the mean tide system, i.e. includes the permanent tide (zero frequency).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"120\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
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       "  <polygon points=\"0.0,0.0 25.412616514582485,0.0 25.412616514582485,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"12.706308\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >69</text>\n",
       "  <text x=\"45.412617\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,45.412617,60.000000)\">9866</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_dynamic_topography</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-072fa1a1-20ed-441d-acc2-222f5bef9545' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-072fa1a1-20ed-441d-acc2-222f5bef9545' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f1a0043-60c0-43ff-979c-f92d6f03edd7' class='xr-var-data-in' type='checkbox'><label for='data-6f1a0043-60c0-43ff-979c-f92d6f03edd7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean dynamic topography</dd><dt><span>source :</span></dt><dd>CNES_CLS_2022</dd><dt><span>institution :</span></dt><dd>CNES/CLS</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-30000</dd><dt><span>valid_max :</span></dt><dd>30000</dd><dt><span>comment :</span></dt><dd>Mean dynamic topography above the geoid.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"120\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
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       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"12.706308\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >69</text>\n",
       "  <text x=\"45.412617\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,45.412617,60.000000)\">9866</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_dynamic_topography_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-8b0219bc-5671-4e64-902a-9991ce383b6d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b0219bc-5671-4e64-902a-9991ce383b6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fc36bfd-d23c-447e-8e11-c055b2aba95f' class='xr-var-data-in' type='checkbox'><label for='data-3fc36bfd-d23c-447e-8e11-c055b2aba95f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean dynamic topography accuracy</dd><dt><span>source :</span></dt><dd>CNES_CLS_2022</dd><dt><span>institution :</span></dt><dd>CNES/CLS</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Accuracy of the mean dynamic topography.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"120\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
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       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"12.706308\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >69</text>\n",
       "  <text x=\"45.412617\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,45.412617,60.000000)\">9866</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>depth_or_elevation</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-dc562ee5-9f1b-44be-9fb7-07a1ec979773' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc562ee5-9f1b-44be-9fb7-07a1ec979773' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bc8c696-7914-4186-a568-d69f811defa2' class='xr-var-data-in' type='checkbox'><label for='data-2bc8c696-7914-4186-a568-d69f811defa2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ocean depth or land elevation</dd><dt><span>source :</span></dt><dd>Altimeter Corrected Elevations, version 2</dd><dt><span>institution :</span></dt><dd>European Space Agency</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-12000</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Ocean depth or land elevation above reference ellipsoid. Ocean depth (bathymetry) is given as negative values, and land elevation positive values.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>solid_earth_tide</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-c36b576b-35ad-4152-83ac-b457d77fa78c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c36b576b-35ad-4152-83ac-b457d77fa78c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81f782bd-36bf-458d-8fc8-70ad84a3e041' class='xr-var-data-in' type='checkbox'><label for='data-81f782bd-36bf-458d-8fc8-70ad84a3e041' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>solid Earth tide height</dd><dt><span>source :</span></dt><dd>Cartwright and Taylor (1971) and Cartwright and Edden (1973)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-10000</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Solid-Earth (body) tide height. The zero-frequency permanent tide component is not included.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "        <td>\n",
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       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_tide_fes</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-c33d034a-49e1-425d-82f6-a19aa1ab86da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c33d034a-49e1-425d-82f6-a19aa1ab86da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a09cd18-b4f3-4b14-902c-4ee5313898f5' class='xr-var-data-in' type='checkbox'><label for='data-3a09cd18-b4f3-4b14-902c-4ee5313898f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>geocentric ocean tide height (FES)</dd><dt><span>source :</span></dt><dd>FES2014b (Carrere et al., 2016)</dd><dt><span>institution :</span></dt><dd>LEGOS/CNES</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-300000</dd><dt><span>valid_max :</span></dt><dd>300000</dd><dt><span>comment :</span></dt><dd>Geocentric ocean tide height. Includes the sum total of the ocean tide, the corresponding load tide (load_tide_fes) and equilibrium long-period ocean tide height (ocean_tide_eq).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_tide_got</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-021aeec0-45b2-413c-b747-74a546b66c9e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-021aeec0-45b2-413c-b747-74a546b66c9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89280f11-8e50-47a9-a9e9-c8801ae8701c' class='xr-var-data-in' type='checkbox'><label for='data-89280f11-8e50-47a9-a9e9-c8801ae8701c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>geocentric ocean tide height (GOT)</dd><dt><span>source :</span></dt><dd>GOT4.10c (Ray, 2013)</dd><dt><span>institution :</span></dt><dd>GSFC</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-300000</dd><dt><span>valid_max :</span></dt><dd>300000</dd><dt><span>comment :</span></dt><dd>Geocentric ocean tide height. Includes the sum total of the ocean tide, the corresponding load tide (load_tide_got) and equilibrium long-period ocean tide height (ocean_tide_eq).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "\n",
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       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>load_tide_fes</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-fc1d9731-ad05-455d-a7fc-2fca394d6ecc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc1d9731-ad05-455d-a7fc-2fca394d6ecc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45e6d9fa-3683-4ef0-97ed-37e4d23be3a3' class='xr-var-data-in' type='checkbox'><label for='data-45e6d9fa-3683-4ef0-97ed-37e4d23be3a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>geocentric load tide height (FES)</dd><dt><span>source :</span></dt><dd>FES2014b (Carrere et al., 2016)</dd><dt><span>institution :</span></dt><dd>LEGOS/CNES</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Geocentric load tide height. The effect of the ocean tide loading of the Earth&#x27;s crust. This value has already been added to the corresponding ocean tide height value (ocean_tide_fes).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>load_tide_got</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-c90bff8e-17c0-4433-b3fd-7427dd1a7d44' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c90bff8e-17c0-4433-b3fd-7427dd1a7d44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5410824c-af13-4037-ad73-e95f84c7d5fc' class='xr-var-data-in' type='checkbox'><label for='data-5410824c-af13-4037-ad73-e95f84c7d5fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>geocentric load tide height (GOT)</dd><dt><span>source :</span></dt><dd>GOT4.10c (Ray, 2013)</dd><dt><span>institution :</span></dt><dd>GSFC</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Geocentric load tide height. The effect of the ocean tide loading of the Earth&#x27;s crust. This value has already been added to the corresponding ocean tide height value (ocean_tide_got).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "        <td>\n",
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       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_tide_eq</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-96f5ee34-44aa-4887-8f53-c0a216a1d1bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-96f5ee34-44aa-4887-8f53-c0a216a1d1bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5f70251-eac5-45b7-8147-a9d9cfce202f' class='xr-var-data-in' type='checkbox'><label for='data-b5f70251-eac5-45b7-8147-a9d9cfce202f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>equilibrium long-period ocean tide height</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Equilibrium long-period ocean tide height. This value has already been added to the corresponding ocean tide height values (ocean_tide_fes and ocean_tide_got).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_tide_non_eq</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-efe5fe8a-e2e7-41dc-9a75-432a930391af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-efe5fe8a-e2e7-41dc-9a75-432a930391af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da8fad1d-ab3a-4581-8085-210d14193d8a' class='xr-var-data-in' type='checkbox'><label for='data-da8fad1d-ab3a-4581-8085-210d14193d8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>non-equilibrium long-period ocean tide height</dd><dt><span>source :</span></dt><dd>FES2014b (Carrere et al., 2016)</dd><dt><span>institution :</span></dt><dd>LEGOS/CNES</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Non-equilibrium long-period ocean tide height. This value is reported as a relative displacement with repsect to ocean_tide_eq. This value can be added to ocean_tide_eq, ocean_tide_fes, or ocean_tide_got, or subtracted from ssha_karin and ssha_karin_2, to account for the total long-period ocean tides from equilibrium and non-equilibrium contributions.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>internal_tide_hret</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-48d7baac-5167-41ab-9c9a-eb4be4549e5c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48d7baac-5167-41ab-9c9a-eb4be4549e5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0a14ca7-1641-4f8d-920b-986e2b1ee4a9' class='xr-var-data-in' type='checkbox'><label for='data-d0a14ca7-1641-4f8d-920b-986e2b1ee4a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>coherent internal tide (HRET)</dd><dt><span>source :</span></dt><dd>Zaron (2019)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Coherent internal ocean tide. This value is subtracted from the ssh_karin and ssh_karin_2 to compute ssha_karin and ssha_karin_2, respectively.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
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       "\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>internal_tide_sol2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-e9366254-9d38-490b-87e7-ed405b50a497' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e9366254-9d38-490b-87e7-ed405b50a497' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7daf462-ef0d-490c-857a-63fbe75b7f38' class='xr-var-data-in' type='checkbox'><label for='data-f7daf462-ef0d-490c-857a-63fbe75b7f38' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>coherent internal tide (Model 2)</dd><dt><span>source :</span></dt><dd>None</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Coherent internal tide. This value is currently always defaulted.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
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       "\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pole_tide</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-d86a1f3c-3b9d-48ce-943c-12887d9d96a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d86a1f3c-3b9d-48ce-943c-12887d9d96a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-120df44c-6281-4098-bbac-5c74f83cac5e' class='xr-var-data-in' type='checkbox'><label for='data-120df44c-6281-4098-bbac-5c74f83cac5e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>geocentric pole tide height</dd><dt><span>source :</span></dt><dd>Wahr (1985) and Desai et al. (2015)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Geocentric pole tide height.  The total of the contribution from the solid-Earth (body) pole tide height, the ocean pole tide height, and the load pole tide height (i.e., the effect of the ocean pole tide loading of the Earth&#x27;s crust).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dac</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-162c97af-a4cb-410c-8d59-fd257e901e9f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-162c97af-a4cb-410c-8d59-fd257e901e9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b83491ee-c77b-4c9e-bc4e-9055b74ba358' class='xr-var-data-in' type='checkbox'><label for='data-b83491ee-c77b-4c9e-bc4e-9055b74ba358' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>dynamic atmospheric correction</dd><dt><span>source :</span></dt><dd>MOG2D</dd><dt><span>institution :</span></dt><dd>LEGOS/CNES/CLS</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-12000</dd><dt><span>valid_max :</span></dt><dd>12000</dd><dt><span>comment :</span></dt><dd>Model estimate of the effect on sea surface topography due to high frequency air pressure and wind effects and the low-frequency height from inverted barometer effect (inv_bar_cor). This value is subtracted from the ssh_karin and ssh_karin_2 to compute ssha_karin and ssha_karin_2, respectively. Use only one of inv_bar_cor and dac.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>inv_bar_cor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-f78929bd-4b4a-4fc9-b25c-15407d8f5591' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f78929bd-4b4a-4fc9-b25c-15407d8f5591' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e8d0129-aa02-4b9f-a389-54cf7d43aa43' class='xr-var-data-in' type='checkbox'><label for='data-0e8d0129-aa02-4b9f-a389-54cf7d43aa43' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>static inverse barometer effect on sea surface height</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Estimate of static effect of atmospheric pressure on sea surface height. Above average pressure lowers sea surface height. Computed by interpolating ECMWF pressure fields in space and time. The value is included in dac. To apply, add dac to ssha_karin and ssha_karin_2 and subtract inv_bar_cor.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>model_dry_tropo_cor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-d6d0923a-76ec-4a67-8eed-58b6c058ba36' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d6d0923a-76ec-4a67-8eed-58b6c058ba36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99ff4dc4-6255-4837-9de0-487f88475c12' class='xr-var-data-in' type='checkbox'><label for='data-99ff4dc4-6255-4837-9de0-487f88475c12' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>dry troposphere vertical correction</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>-30000</dd><dt><span>valid_max :</span></dt><dd>-15000</dd><dt><span>comment :</span></dt><dd>Equivalent vertical correction due to dry troposphere delay. The reported sea surface height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>model_wet_tropo_cor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-1d805c30-e1a0-4585-8867-a1ffdc18f6be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d805c30-e1a0-4585-8867-a1ffdc18f6be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4ded32e-8b52-4d5d-8cad-c97406cdb633' class='xr-var-data-in' type='checkbox'><label for='data-e4ded32e-8b52-4d5d-8cad-c97406cdb633' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wet troposphere vertical correction from weather model data</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>-10000</dd><dt><span>valid_max :</span></dt><dd>0</dd><dt><span>comment :</span></dt><dd>Equivalent vertical correction due to wet troposphere delay from weather model data. The reported pixel height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height (ssh_karin_2) results in the uncorrected sea surface height.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_wet_tropo_cor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-d4cd406d-ecce-4ebf-9015-81cdf6fadc8f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d4cd406d-ecce-4ebf-9015-81cdf6fadc8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c92cb9c3-fa8a-4d10-a999-857fed72a10f' class='xr-var-data-in' type='checkbox'><label for='data-c92cb9c3-fa8a-4d10-a999-857fed72a10f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wet troposphere vertical correction from radiometer data</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_qual</dd><dt><span>valid_min :</span></dt><dd>-10000</dd><dt><span>valid_max :</span></dt><dd>0</dd><dt><span>comment :</span></dt><dd>Equivalent vertical correction due to wet troposphere delay from radiometer measurements. The reported pixel height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height (ssh_karin) results in the uncorrected sea surface height.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                    <tr>\n",
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       "                        <th> Array </th>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>iono_cor_gim_ka</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-fcede89a-dd6c-4bec-810a-37738304d494' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fcede89a-dd6c-4bec-810a-37738304d494' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea2db63f-5cbe-4571-8c93-d8308ada549c' class='xr-var-data-in' type='checkbox'><label for='data-ea2db63f-5cbe-4571-8c93-d8308ada549c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ionosphere vertical correction</dd><dt><span>source :</span></dt><dd>Global Ionosphere Maps</dd><dt><span>institution :</span></dt><dd>JPL</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>-5000</dd><dt><span>valid_max :</span></dt><dd>0</dd><dt><span>comment :</span></dt><dd>Equivalent vertical correction due to ionosphere delay. The reported sea surface height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height_cor_xover</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-83721d50-f9a4-4e7f-9c90-19b6a014990b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-83721d50-f9a4-4e7f-9c90-19b6a014990b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3a8090c-3cad-4265-a0cd-2d19a28f86d1' class='xr-var-data-in' type='checkbox'><label for='data-e3a8090c-3cad-4265-a0cd-2d19a28f86d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>height correction from crossover calibration</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>height_cor_xover_qual</dd><dt><span>valid_min :</span></dt><dd>-100000</dd><dt><span>valid_max :</span></dt><dd>100000</dd><dt><span>comment :</span></dt><dd>Height correction from crossover calibration. To apply this correction the value of height_cor_xover should be added to the value of ssh_karin, ssh_karin_2, ssha_karin, and ssha_karin_2.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "                        <td> 5.19 MiB </td>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height_cor_xover_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-b128e1e0-1f33-4c7a-84f3-b36b2f99d7d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b128e1e0-1f33-4c7a-84f3-b36b2f99d7d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46dd83fa-e7f2-4db8-ae53-61b77ff689c8' class='xr-var-data-in' type='checkbox'><label for='data-46dd83fa-e7f2-4db8-ae53-61b77ff689c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for height correction from crossover calibration</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>good suspect bad</dd><dt><span>flag_values :</span></dt><dd>[0 1 2]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2</dd><dt><span>comment :</span></dt><dd>Flag indicating the quality of the height correction from crossover calibration.  Values of 0, 1, and 2 indicate that the correction is good, suspect, and bad, respectively.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
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       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rain_rate</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-81c6d072-bf06-446b-85d3-8dea33bba996' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81c6d072-bf06-446b-85d3-8dea33bba996' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5827c22-2ad5-4cd2-9349-eedb9e73a0e5' class='xr-var-data-in' type='checkbox'><label for='data-e5827c22-2ad5-4cd2-9349-eedb9e73a0e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>rain rate from weather model</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>mm/hr</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>200</dd><dt><span>comment :</span></dt><dd>Rain rate from weather model.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                        <td> (9866, 69) </td>\n",
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       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ice_conc</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-eca6c8c5-1d86-4a31-a73c-4ab643ea2b4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eca6c8c5-1d86-4a31-a73c-4ab643ea2b4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ee28491-abb6-4658-9a46-e70b8161148b' class='xr-var-data-in' type='checkbox'><label for='data-7ee28491-abb6-4658-9a46-e70b8161148b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>concentration of sea ice</dd><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction</dd><dt><span>source :</span></dt><dd>EUMETSAT Ocean and Sea Ice Satellite Applications Facility</dd><dt><span>institution :</span></dt><dd>EUMETSAT</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Concentration of sea ice from model.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
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       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "        </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_state_bias_cor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-dcac6042-2e6e-44ae-b7cf-cd6b6ab7daf7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dcac6042-2e6e-44ae-b7cf-cd6b6ab7daf7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82d3f00f-d31b-4063-b333-e98306db6e72' class='xr-var-data-in' type='checkbox'><label for='data-82d3f00f-d31b-4063-b333-e98306db6e72' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea state bias correction</dd><dt><span>source :</span></dt><dd>CNES</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-6000</dd><dt><span>valid_max :</span></dt><dd>0</dd><dt><span>comment :</span></dt><dd>Sea state bias correction used to compute ssh_karin. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height. The wind_speed_karin value is used to compute this quantity.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                <tbody>\n",
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       "                        <td> (9866, 69) </td>\n",
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       "                    <tr>\n",
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       "                        <td> 5.19 MiB </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_ssb_cor_source_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-ea0aa44f-dd35-4283-be18-36a8121c88d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea0aa44f-dd35-4283-be18-36a8121c88d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8b99a53-68f0-45d9-8dd0-fac00c600619' class='xr-var-data-in' type='checkbox'><label for='data-c8b99a53-68f0-45d9-8dd0-fac00c600619' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>source flag for significant wave height information used to compute sea state bias correction</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>nadir_altimeter karin model</dd><dt><span>flag_masks :</span></dt><dd>[1 2 4]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>7</dd><dt><span>comment :</span></dt><dd>Bit flag that indicates the source of significant wave height information that was used to compute the sea state bias correction in sea_state_bias_cor_2.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_ssb_cor_source</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-635ca2d7-a701-4682-99b2-bd584197b354' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-635ca2d7-a701-4682-99b2-bd584197b354' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da55d8b7-94f8-4314-9a3f-7dbce11afeec' class='xr-var-data-in' type='checkbox'><label for='data-da55d8b7-94f8-4314-9a3f-7dbce11afeec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>source flag for wind speed information used to compute sea state bias correction</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>nadir_altimeter karin model</dd><dt><span>flag_masks :</span></dt><dd>[1 2 4]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>7</dd><dt><span>comment :</span></dt><dd>Bit flag that indicates the source of wind speed information that was used to compute the sea state bias correction in sea_state_bias_cor.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "                        <td> 2.60 MiB </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_ssb_cor_source_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-d5bbaeaf-9520-452e-b831-c27a4058618d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5bbaeaf-9520-452e-b831-c27a4058618d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3db988e8-cb6b-4e91-b492-e41cfc232f27' class='xr-var-data-in' type='checkbox'><label for='data-3db988e8-cb6b-4e91-b492-e41cfc232f27' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>source flag for wind speed information used to compute sea state bias correction</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>nadir_altimeter karin model</dd><dt><span>flag_masks :</span></dt><dd>[1 2 4]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>7</dd><dt><span>comment :</span></dt><dd>Bit flag that indicates the source of wind speed information that was used to compute the sea state bias correction in sea_state_bias_cor_2.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>volumetric_correlation</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-0753a0db-ec35-4687-95c6-24f95e730173' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0753a0db-ec35-4687-95c6-24f95e730173' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d353a10-b6a1-4507-a3ae-da18c637e939' class='xr-var-data-in' type='checkbox'><label for='data-2d353a10-b6a1-4507-a3ae-da18c637e939' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>volumetric correlation</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>20000</dd><dt><span>comment :</span></dt><dd>Volumetric correlation.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "                </tbody>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>volumetric_correlation_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(9866, 69), meta=np.ndarray&gt;</div><input id='attrs-c32fef02-59e2-4cd7-85ac-ca6811635e4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c32fef02-59e2-4cd7-85ac-ca6811635e4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc918354-d6f7-4e94-93b6-15248e0921c4' class='xr-var-data-in' type='checkbox'><label for='data-bc918354-d6f7-4e94-93b6-15248e0921c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>volumetric correlation standard deviation</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>1-sigma uncertainty computed analytically using observed correlation and effective number of looks. Two-sided error bars (volumetric_correlation-volumetric_correlation_uncert, volumetric_correlation+volumetric_correlation_uncert) include 68% of probability distribution.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
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       "                        <th> Array </th>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                        <td> 5.19 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (9866, 69) </td>\n",
       "                        <td> (9866, 69) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-22e402fe-ac62-42d9-8877-157c796ac9cb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-22e402fe-ac62-42d9-8877-157c796ac9cb' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-527dc618-c94e-4918-92ea-ed9f970c9393' class='xr-section-summary-in' type='checkbox'  ><label for='section-527dc618-c94e-4918-92ea-ed9f970c9393' class='xr-section-summary' >Attributes: <span>(62)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>title :</span></dt><dd>Level 2 Low Rate Sea Surface Height Data Product - Expert SSH with Wind and Wave</dd><dt><span>institution :</span></dt><dd>CNES</dd><dt><span>source :</span></dt><dd>Ka-band radar interferometer</dd><dt><span>history :</span></dt><dd>2023-11-25T21:23:38Z : Creation</dd><dt><span>platform :</span></dt><dd>SWOT</dd><dt><span>reference_document :</span></dt><dd>D-56407_SWOT_Product_Description_L2_LR_SSH</dd><dt><span>contact :</span></dt><dd>podaac@jpl.nasa.gov</dd><dt><span>cycle_number :</span></dt><dd>7</dd><dt><span>pass_number :</span></dt><dd>13</dd><dt><span>equator_time :</span></dt><dd>2023-11-23T20:47:23.807000Z</dd><dt><span>short_name :</span></dt><dd>L2_LR_SSH</dd><dt><span>product_file_id :</span></dt><dd>Expert</dd><dt><span>crid :</span></dt><dd>PIC0</dd><dt><span>product_version :</span></dt><dd>01</dd><dt><span>pge_name :</span></dt><dd>PGE_L2_LR_SSH</dd><dt><span>pge_version :</span></dt><dd>5.0.2</dd><dt><span>time_coverage_start :</span></dt><dd>2023-11-23T20:21:37.683390</dd><dt><span>time_coverage_end :</span></dt><dd>2023-11-23T21:13:05.888030</dd><dt><span>geospatial_lon_min :</span></dt><dd>121.107237</dd><dt><span>geospatial_lon_max :</span></dt><dd>288.551771</dd><dt><span>geospatial_lat_min :</span></dt><dd>-78.271942</dd><dt><span>geospatial_lat_max :</span></dt><dd>78.27206799999999</dd><dt><span>left_first_longitude :</span></dt><dd>121.12660899999999</dd><dt><span>left_first_latitude :</span></dt><dd>-77.05370099999999</dd><dt><span>left_last_longitude :</span></dt><dd>288.551771</dd><dt><span>left_last_latitude :</span></dt><dd>78.27200599999999</dd><dt><span>right_first_longitude :</span></dt><dd>121.107237</dd><dt><span>right_first_latitude :</span></dt><dd>-78.27186999999999</dd><dt><span>right_last_longitude :</span></dt><dd>288.53394399999996</dd><dt><span>right_last_latitude :</span></dt><dd>77.053837</dd><dt><span>wavelength :</span></dt><dd>0.008385803020979021</dd><dt><span>transmit_antenna :</span></dt><dd>minus_y</dd><dt><span>xref_l1b_lr_intf_file :</span></dt><dd>SWOT_L1B_LR_INTF_007_013_20231123T202134_20231123T211309_PIC0_01.nc</dd><dt><span>xref_l2_nalt_gdr_files :</span></dt><dd>SWOT_IPN_2PfP007_012_20231123_193011_20231123_202138.nc, SWOT_IPN_2PfP007_013_20231123_202138_20231123_211305.nc, SWOT_IPN_2PfP007_014_20231123_211305_20231123_220431.nc</dd><dt><span>xref_l2_rad_gdr_files :</span></dt><dd>SWOT_IPRAD_2PaP007_012_20231123_193007_20231123_202142_PIC0_01.nc, SWOT_IPRAD_2PaP007_013_20231123_202134_20231123_211309_PIC0_01.nc, SWOT_IPRAD_2PaP007_014_20231123_211301_20231123_220435_PIC0_01.nc</dd><dt><span>xref_int_lr_xover_cal_file :</span></dt><dd>SWOT_INT_LR_XOverCal_20231122T234644_20231123T234736_PIC0_02.nc</dd><dt><span>xref_statickarincal_files :</span></dt><dd>SWOT_StaticKaRInCalAdjustableParam_20000101T000000_20991231T235959_20230823T210000_v106.nc</dd><dt><span>xref_param_l2_lr_precalssh_file :</span></dt><dd>SWOT_Param_L2_LR_PreCalSSH_20000101T000000_20991231T235959_20230815T120500_v301.nc</dd><dt><span>xref_orbit_ephemeris_file :</span></dt><dd>SWOT_POR_AXVCNE20231124_105318_20231122_225923_20231124_005923.nc</dd><dt><span>xref_reforbittrack_files :</span></dt><dd>SWOT_RefOrbitTrack125mPass1_Nom_20000101T000000_21000101T000000_20200617T193054_v101.txt, SWOT_RefOrbitTrack125mPass2_Nom_20000101T000000_21000101T000000_20200617T193054_v101.txt</dd><dt><span>xref_meteorological_sealevel_pressure_files :</span></dt><dd>SMM_PMA_AXVCNE20231124_030722_20231123_180000_20231123_180000, SMM_PMA_AXVCNE20231124_051537_20231124_000000_20231124_000000</dd><dt><span>xref_meteorological_wettroposphere_files :</span></dt><dd>SMM_WEA_AXVCNE20231124_030722_20231123_180000_20231123_180000, SMM_WEA_AXVCNE20231124_051537_20231124_000000_20231124_000000</dd><dt><span>xref_meteorological_wind_files :</span></dt><dd>SMM_UWA_AXVCNE20231124_030722_20231123_180000_20231123_180000, SMM_VWA_AXVCNE20231124_030722_20231123_180000_20231123_180000, SMM_VWA_AXVCNE20231124_051537_20231124_000000_20231124_000000, SMM_UWA_AXVCNE20231124_051537_20231124_000000_20231124_000000</dd><dt><span>xref_meteorological_surface_pressure_files :</span></dt><dd>SMM_PSA_AXVCNE20231124_054040_20231123_180000_20231123_180000, SMM_PSA_AXVCNE20231124_054040_20231124_000000_20231124_000000</dd><dt><span>xref_meteorological_temperature_files :</span></dt><dd>SMM_T2M_AXPCNE20231124_054040_20231123_180000_20231123_180000.grb, SMM_T2M_AXPCNE20231124_054040_20231124_000000_20231124_000000.grb</dd><dt><span>xref_meteorological_water_vapor_files :</span></dt><dd>SMM_CWV_AXPCNE20231124_054040_20231123_180000_20231123_180000.grb, SMM_CWV_AXPCNE20231124_054040_20231124_000000_20231124_000000.grb</dd><dt><span>xref_meteorological_cloud_liquid_water_files :</span></dt><dd>SMM_CLW_AXPCNE20231124_054040_20231123_180000_20231123_180000.grb, SMM_CLW_AXPCNE20231124_054040_20231124_000000_20231124_000000.grb</dd><dt><span>xref_model_significant_wave_height_files :</span></dt><dd>SMM_SWH_AXPCNE20231124_054040_20231123_180000_20231123_180000.grb, SMM_SWH_AXPCNE20231124_054040_20231124_000000_20231124_000000.grb</dd><dt><span>xref_gim_files :</span></dt><dd>JPLQ3270.23I, JPLQ3280.23I</dd><dt><span>xref_pole_location_file :</span></dt><dd>SMM_PO1_AXXCNE20231125_020000_19900101_000000_20240523_000000</dd><dt><span>xref_dac_files :</span></dt><dd>SMM_MOG_AXPCNE20231124_074502_20231123_180000_20231123_180000, SMM_MOG_AXPCNE20231124_074502_20231124_000000_20231124_000000</dd><dt><span>xref_precipitation_files :</span></dt><dd>SMM_CRR_AXFCNE20231123_185541_20231123_180000_20231123_180000.grb, SMM_LSR_AXFCNE20231123_185541_20231123_180000_20231123_180000.grb, SMM_CRR_AXFCNE20231124_065600_20231124_000000_20231124_000000.grb, SMM_LSR_AXFCNE20231124_065600_20231124_000000_20231124_000000.grb</dd><dt><span>xref_sea_ice_mask_files :</span></dt><dd>SMM_ICN_AXFCNE20231124_051512_20231123_000000_20231123_235959.nc, SMM_ICS_AXFCNE20231124_052007_20231123_000000_20231123_235959.nc</dd><dt><span>xref_wave_model_files :</span></dt><dd>SMM_WMA_AXPCNE20231124_072014_20231123_030000_20231124_000000.grb</dd><dt><span>xref_geco_database_version :</span></dt><dd>v102</dd><dt><span>ellipsoid_semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>ellipsoid_flattening :</span></dt><dd>0.0033528106647474805</dd><dt><span>good_ocean_data_percent :</span></dt><dd>65.76645448005515</dd><dt><span>ssha_variance :</span></dt><dd>0.11614050683132866</dd><dt><span>references :</span></dt><dd>V1.2.1</dd><dt><span>equator_longitude :</span></dt><dd>-155.17</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 400MB\n",
       "Dimensions:                                (num_lines: 9866, num_pixels: 69,\n",
       "                                            num_sides: 2)\n",
       "Coordinates:\n",
       "    latitude                               (num_lines, num_pixels) float64 5MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
       "    longitude                              (num_lines, num_pixels) float64 5MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
       "    latitude_nadir                         (num_lines) float64 79kB dask.array<chunksize=(9866,), meta=np.ndarray>\n",
       "    longitude_nadir                        (num_lines) float64 79kB dask.array<chunksize=(9866,), meta=np.ndarray>\n",
       "Dimensions without coordinates: num_lines, num_pixels, num_sides\n",
       "Data variables: (12/98)\n",
       "    time                                   (num_lines) datetime64[ns] 79kB dask.array<chunksize=(9866,), meta=np.ndarray>\n",
       "    time_tai                               (num_lines) datetime64[ns] 79kB dask.array<chunksize=(9866,), meta=np.ndarray>\n",
       "    ssh_karin                              (num_lines, num_pixels) float64 5MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
       "    ssh_karin_qual                         (num_lines, num_pixels) float64 5MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
       "    ssh_karin_uncert                       (num_lines, num_pixels) float64 5MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
       "    ssha_karin                             (num_lines, num_pixels) float64 5MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
       "    ...                                     ...\n",
       "    swh_ssb_cor_source                     (num_lines, num_pixels) float32 3MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
       "    swh_ssb_cor_source_2                   (num_lines, num_pixels) float32 3MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
       "    wind_speed_ssb_cor_source              (num_lines, num_pixels) float32 3MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
       "    wind_speed_ssb_cor_source_2            (num_lines, num_pixels) float32 3MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
       "    volumetric_correlation                 (num_lines, num_pixels) float64 5MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
       "    volumetric_correlation_uncert          (num_lines, num_pixels) float64 5MB dask.array<chunksize=(9866, 69), meta=np.ndarray>\n",
       "Attributes: (12/62)\n",
       "    Conventions:                                   CF-1.7\n",
       "    title:                                         Level 2 Low Rate Sea Surfa...\n",
       "    institution:                                   CNES\n",
       "    source:                                        Ka-band radar interferometer\n",
       "    history:                                       2023-11-25T21:23:38Z : Cre...\n",
       "    platform:                                      SWOT\n",
       "    ...                                            ...\n",
       "    ellipsoid_semi_major_axis:                     6378137.0\n",
       "    ellipsoid_flattening:                          0.0033528106647474805\n",
       "    good_ocean_data_percent:                       65.76645448005515\n",
       "    ssha_variance:                                 0.11614050683132866\n",
       "    references:                                    V1.2.1\n",
       "    equator_longitude:                             -155.17"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Using earthaccess is the same for cloud or non-cloud environment\n",
    "\n",
    "auth = earthaccess.login()\n",
    "ssh_results = earthaccess.search_data(short_name = 'SWOT_L2_LR_SSH_Expert_2.0', \n",
    "                                      #temporal = (\"2023-08-10 00:00:00\", \"2023-08-24 23:59:59\"))\n",
    "                                      granule_name = '*_Expert_???_013_*') \n",
    "ds = xr.open_mfdataset(earthaccess.open([ssh_results[0]]))#, mask_and_scale=False)\n",
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Show the S3 links"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['s3://podaac-swot-ops-cumulus-protected/SWOT_L2_LR_SSH_2.0/SWOT_L2_LR_SSH_Expert_007_013_20231123T202137_20231123T211305_PIC0_01.nc'],\n",
       " ['s3://podaac-swot-ops-cumulus-protected/SWOT_L2_LR_SSH_2.0/SWOT_L2_LR_SSH_Expert_008_013_20231214T170641_20231214T175809_PIC0_01.nc'],\n",
       " ['s3://podaac-swot-ops-cumulus-protected/SWOT_L2_LR_SSH_2.0/SWOT_L2_LR_SSH_Expert_009_013_20240104T135148_20240104T144316_PIC0_01.nc'],\n",
       " ['s3://podaac-swot-ops-cumulus-protected/SWOT_L2_LR_SSH_2.0/SWOT_L2_LR_SSH_Expert_010_013_20240125T103653_20240125T112821_PIC0_01.nc'],\n",
       " ['s3://podaac-swot-ops-cumulus-protected/SWOT_L2_LR_SSH_2.0/SWOT_L2_LR_SSH_Expert_011_013_20240215T072158_20240215T081326_PIC0_01.nc'],\n",
       " ['s3://podaac-swot-ops-cumulus-protected/SWOT_L2_LR_SSH_2.0/SWOT_L2_LR_SSH_Expert_012_013_20240307T040702_20240307T045830_PIC0_01.nc'],\n",
       " ['s3://podaac-swot-ops-cumulus-protected/SWOT_L2_LR_SSH_2.0/SWOT_L2_LR_SSH_Expert_013_013_20240328T005206_20240328T014334_PIC0_01.nc'],\n",
       " ['s3://podaac-swot-ops-cumulus-protected/SWOT_L2_LR_SSH_2.0/SWOT_L2_LR_SSH_Expert_014_013_20240417T213712_20240417T222840_PIC0_01.nc'],\n",
       " ['s3://podaac-swot-ops-cumulus-protected/SWOT_L2_LR_SSH_2.0/SWOT_L2_LR_SSH_Expert_015_013_20240508T182215_20240508T191343_PIC0_01.nc']]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_links = [granule.data_links(access=\"direct\") for granule in ssh_results]\n",
    "display(data_links)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Start a AWS s3fs system instance for connecting to the S3 storage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 25MB\n",
       "Dimensions:                                (num_lines: 626, num_pixels: 69,\n",
       "                                            num_sides: 2)\n",
       "Coordinates:\n",
       "    latitude_nadir                         (num_lines) float64 5kB 33.01 ... ...\n",
       "    longitude_nadir                        (num_lines) float64 5kB 210.6 ... ...\n",
       "    latitude                               (num_lines, num_pixels) float64 346kB ...\n",
       "    longitude                              (num_lines, num_pixels) float64 346kB ...\n",
       "Dimensions without coordinates: num_lines, num_pixels, num_sides\n",
       "Data variables: (12/98)\n",
       "    time                                   (num_lines) datetime64[ns] 5kB ...\n",
       "    time_tai                               (num_lines) datetime64[ns] 5kB ...\n",
       "    ssh_karin                              (num_lines, num_pixels) float64 346kB ...\n",
       "    ssh_karin_qual                         (num_lines, num_pixels) float64 346kB ...\n",
       "    ssh_karin_uncert                       (num_lines, num_pixels) float64 346kB ...\n",
       "    ssha_karin                             (num_lines, num_pixels) float64 346kB ...\n",
       "    ...                                     ...\n",
       "    swh_ssb_cor_source                     (num_lines, num_pixels) float32 173kB ...\n",
       "    swh_ssb_cor_source_2                   (num_lines, num_pixels) float32 173kB ...\n",
       "    wind_speed_ssb_cor_source              (num_lines, num_pixels) float32 173kB ...\n",
       "    wind_speed_ssb_cor_source_2            (num_lines, num_pixels) float32 173kB ...\n",
       "    volumetric_correlation                 (num_lines, num_pixels) float64 346kB ...\n",
       "    volumetric_correlation_uncert          (num_lines, num_pixels) float64 346kB ...\n",
       "Attributes: (12/62)\n",
       "    Conventions:                                   CF-1.7\n",
       "    title:                                         Level 2 Low Rate Sea Surfa...\n",
       "    institution:                                   CNES\n",
       "    source:                                        Ka-band radar interferometer\n",
       "    history:                                       2023-11-25T21:23:38Z : Cre...\n",
       "    platform:                                      SWOT\n",
       "    ...                                            ...\n",
       "    ellipsoid_semi_major_axis:                     6378137.0\n",
       "    ellipsoid_flattening:                          0.0033528106647474805\n",
       "    good_ocean_data_percent:                       65.76645448005515\n",
       "    ssha_variance:                                 0.11614050683132866\n",
       "    references:                                    V1.2.1\n",
       "    equator_longitude:                             -155.17</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7dcc0f49-ff17-4089-b665-05531b9b3dc9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7dcc0f49-ff17-4089-b665-05531b9b3dc9' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>num_lines</span>: 626</li><li><span>num_pixels</span>: 69</li><li><span>num_sides</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f4736194-1f8f-4cfc-8630-f9f98a8773b2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f4736194-1f8f-4cfc-8630-f9f98a8773b2' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>latitude_nadir</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>33.01 33.03 33.05 ... 43.97 43.99</div><input id='attrs-d8629de6-a182-48b0-8196-15c0fef2d4b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8629de6-a182-48b0-8196-15c0fef2d4b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0881dc12-5f09-4a62-b56f-6881e9dbd3c5' class='xr-var-data-in' type='checkbox'><label for='data-0881dc12-5f09-4a62-b56f-6881e9dbd3c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude of satellite nadir point</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>quality_flag :</span></dt><dd>orbit_qual</dd><dt><span>valid_min :</span></dt><dd>-80000000</dd><dt><span>valid_max :</span></dt><dd>80000000</dd><dt><span>comment :</span></dt><dd>Geodetic latitude [-80,80] (degrees north of equator) of the satellite nadir point.</dd></dl></div><div class='xr-var-data'><pre>array([33.009693, 33.027367, 33.045044, 33.062721, 33.080394, 33.098073,\n",
       "       33.115745, 33.133423, 33.151096, 33.16877 , 33.186446, 33.204118,\n",
       "       33.221798, 33.23947 , 33.257144, 33.274816, 33.292487, 33.310162,\n",
       "       33.32783 , 33.345505, 33.363173, 33.380846, 33.398516, 33.416186,\n",
       "       33.433863, 33.451529, 33.469202, 33.486869, 33.504538, 33.522208,\n",
       "       33.539873, 33.557545, 33.575209, 33.592879, 33.610544, 33.628213,\n",
       "       33.645885, 33.663548, 33.681217, 33.698879, 33.716547, 33.734211,\n",
       "       33.751875, 33.769541, 33.787203, 33.804869, 33.82253 , 33.840198,\n",
       "       33.857863, 33.875524, 33.893189, 33.910848, 33.928513, 33.946172,\n",
       "       33.963834, 33.981495, 33.999154, 34.016817, 34.034474, 34.052134,\n",
       "       34.069791, 34.08745 , 34.10511 , 34.122766, 34.140427, 34.158082,\n",
       "       34.175741, 34.193398, 34.211054, 34.228713, 34.246365, 34.264014,\n",
       "       34.281664, 34.299322, 34.316977, 34.33463 , 34.352287, 34.369938,\n",
       "       34.387595, 34.405247, 34.422901, 34.440555, 34.458204, 34.475855,\n",
       "       34.493503, 34.511158, 34.528808, 34.546459, 34.564111, 34.581759,\n",
       "       34.599412, 34.617059, 34.63471 , 34.65236 , 34.670002, 34.687642,\n",
       "       34.705288, 34.722939, 34.740584, 34.758234, 34.77588 , 34.793526,\n",
       "       34.811174, 34.828818, 34.846467, 34.864109, 34.881772, 34.899432,\n",
       "       34.917073, 34.934721, 34.952362, 34.970008, 34.98765 , 35.005293,\n",
       "       35.022938, 35.040576, 35.058223, 35.075861, 35.093479, 35.111105,\n",
       "...\n",
       "       41.981396, 41.998889, 42.016376, 42.033865, 42.051352, 42.068841,\n",
       "       42.086327, 42.103814, 42.121299, 42.138788, 42.156299, 42.173791,\n",
       "       42.191272, 42.208757, 42.226239, 42.243723, 42.261204, 42.278687,\n",
       "       42.296167, 42.313649, 42.331127, 42.348612, 42.36611 , 42.38359 ,\n",
       "       42.401068, 42.418546, 42.436023, 42.4535  , 42.470975, 42.488453,\n",
       "       42.505927, 42.523402, 42.540877, 42.558348, 42.575818, 42.593289,\n",
       "       42.610763, 42.628233, 42.645705, 42.663176, 42.680645, 42.698117,\n",
       "       42.715584, 42.733054, 42.750523, 42.767982, 42.78544 , 42.802907,\n",
       "       42.820375, 42.837839, 42.855305, 42.87277 , 42.890233, 42.907698,\n",
       "       42.92516 , 42.942624, 42.960086, 42.977528, 42.994975, 43.012438,\n",
       "       43.029898, 43.047357, 43.064818, 43.082275, 43.099734, 43.117192,\n",
       "       43.134648, 43.152107, 43.16956 , 43.186994, 43.204438, 43.221896,\n",
       "       43.239349, 43.256802, 43.274257, 43.291708, 43.309161, 43.326613,\n",
       "       43.344062, 43.361516, 43.378959, 43.396383, 43.413824, 43.431276,\n",
       "       43.448722, 43.46617 , 43.483618, 43.501063, 43.518511, 43.535956,\n",
       "       43.5534  , 43.570848, 43.58828 , 43.605697, 43.623135, 43.640581,\n",
       "       43.65802 , 43.675462, 43.692903, 43.710343, 43.727784, 43.745222,\n",
       "       43.762661, 43.7801  , 43.797533, 43.814965, 43.8324  , 43.849838,\n",
       "       43.867272, 43.884708, 43.902142, 43.919575, 43.93701 , 43.954442,\n",
       "       43.971875, 43.989308])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude_nadir</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>210.6 210.6 210.6 ... 213.8 213.8</div><input id='attrs-849f97c1-ce58-4c0c-b67c-475596ecf32c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-849f97c1-ce58-4c0c-b67c-475596ecf32c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ffaf00fa-9d54-445d-b689-c8f6cc5475fe' class='xr-var-data-in' type='checkbox'><label for='data-ffaf00fa-9d54-445d-b689-c8f6cc5475fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude of satellite nadir point</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>quality_flag :</span></dt><dd>orbit_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>359999999</dd><dt><span>comment :</span></dt><dd>Longitude (degrees east of Grenwich meridian) of the satellite nadir point.</dd></dl></div><div class='xr-var-data'><pre>array([210.560719, 210.564957, 210.569198, 210.573442, 210.577687,\n",
       "       210.581936, 210.586185, 210.590438, 210.594693, 210.59895 ,\n",
       "       210.603209, 210.60747 , 210.611735, 210.616001, 210.620269,\n",
       "       210.624539, 210.628811, 210.633087, 210.637363, 210.641643,\n",
       "       210.645924, 210.650208, 210.654494, 210.658782, 210.663075,\n",
       "       210.667367, 210.671662, 210.675959, 210.680259, 210.684561,\n",
       "       210.688865, 210.693172, 210.69748 , 210.701792, 210.706105,\n",
       "       210.710421, 210.71474 , 210.71906 , 210.723383, 210.727707,\n",
       "       210.732035, 210.736364, 210.740696, 210.74503 , 210.749366,\n",
       "       210.753705, 210.758046, 210.76239 , 210.766737, 210.771084,\n",
       "       210.775435, 210.779787, 210.784143, 210.7885  , 210.792859,\n",
       "       210.797222, 210.801585, 210.805953, 210.810321, 210.814693,\n",
       "       210.819066, 210.823442, 210.827821, 210.832201, 210.836585,\n",
       "       210.84097 , 210.845358, 210.849748, 210.854141, 210.858537,\n",
       "       210.862933, 210.867331, 210.871732, 210.876137, 210.880544,\n",
       "       210.884953, 210.889365, 210.893779, 210.898196, 210.902615,\n",
       "       210.907036, 210.91146 , 210.915885, 210.920314, 210.924744,\n",
       "       210.929178, 210.933613, 210.938052, 210.942493, 210.946935,\n",
       "       210.951382, 210.955829, 210.96028 , 210.964733, 210.969186,\n",
       "       210.973642, 210.978101, 210.982565, 210.987029, 210.991497,\n",
       "...\n",
       "       213.185891, 213.191715, 213.197547, 213.203377, 213.20921 ,\n",
       "       213.215048, 213.22089 , 213.226735, 213.232585, 213.238439,\n",
       "       213.244296, 213.250157, 213.256023, 213.261891, 213.267764,\n",
       "       213.273641, 213.279523, 213.285408, 213.291298, 213.297191,\n",
       "       213.303089, 213.308991, 213.314896, 213.320806, 213.32672 ,\n",
       "       213.332635, 213.338553, 213.344479, 213.35041 , 213.356343,\n",
       "       213.362282, 213.368224, 213.37417 , 213.380121, 213.386075,\n",
       "       213.392034, 213.397997, 213.403957, 213.409922, 213.415898,\n",
       "       213.421878, 213.42786 , 213.433848, 213.43984 , 213.445835,\n",
       "       213.451836, 213.457839, 213.463848, 213.469859, 213.475868,\n",
       "       213.481885, 213.487911, 213.49394 , 213.499973, 213.506011,\n",
       "       213.512052, 213.518098, 213.524148, 213.530202, 213.536262,\n",
       "       213.542322, 213.54838 , 213.554448, 213.560525, 213.566604,\n",
       "       213.572688, 213.578776, 213.584868, 213.590965, 213.597066,\n",
       "       213.603171, 213.609282, 213.615391, 213.6215  , 213.62762 ,\n",
       "       213.633748, 213.639878, 213.646014, 213.652153, 213.658297,\n",
       "       213.664446, 213.670598, 213.676755, 213.682916, 213.68908 ,\n",
       "       213.695248, 213.701422, 213.707601, 213.713783, 213.719971,\n",
       "       213.726162, 213.732358, 213.738559, 213.744763, 213.750973,\n",
       "       213.757187])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>33.13 33.12 33.12 ... 43.84 43.83</div><input id='attrs-51ec3bbe-7dad-41e3-aa48-6a6bbd97a1ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51ec3bbe-7dad-41e3-aa48-6a6bbd97a1ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb575bbc-2321-4df7-a9ab-8ce337569667' class='xr-var-data-in' type='checkbox'><label for='data-fb575bbc-2321-4df7-a9ab-8ce337569667' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude (positive N, negative S)</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_min :</span></dt><dd>-80000000</dd><dt><span>valid_max :</span></dt><dd>80000000</dd><dt><span>comment :</span></dt><dd>Latitude of measurement [-80,80]. Positive latitude is North latitude, negative latitude is South latitude.</dd></dl></div><div class='xr-var-data'><pre>array([[33.127165, 33.12371 , 33.120252, ..., 32.891569, 32.887881,\n",
       "        32.88419 ],\n",
       "       [33.144878, 33.141422, 33.137962, ..., 32.909206, 32.905518,\n",
       "        32.901825],\n",
       "       [33.16259 , 33.159133, 33.155673, ..., 32.926844, 32.923154,\n",
       "        32.91946 ],\n",
       "       ...,\n",
       "       [44.101058, 44.096742, 44.092421, ..., 43.805245, 43.800593,\n",
       "        43.795936],\n",
       "       [44.11855 , 44.114233, 44.10991 , ..., 43.822615, 43.817961,\n",
       "        43.813302],\n",
       "       [44.136042, 44.131723, 44.127398, ..., 43.839985, 43.835329,\n",
       "        43.830668]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>209.9 209.9 209.9 ... 214.6 214.6</div><input id='attrs-79d6f35e-f962-4002-818d-7f24eeae5e40' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79d6f35e-f962-4002-818d-7f24eeae5e40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8512d73-770f-4bad-930c-07bb780826ac' class='xr-var-data-in' type='checkbox'><label for='data-a8512d73-770f-4bad-930c-07bb780826ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude (degrees East)</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>359999999</dd><dt><span>comment :</span></dt><dd>Longitude of measurement. East longitude relative to Greenwich meridian.</dd></dl></div><div class='xr-var-data'><pre>array([[209.857749, 209.878783, 209.899816, ..., 211.24243 , 211.263353,\n",
       "        211.284274],\n",
       "       [209.861859, 209.882897, 209.903934, ..., 211.246799, 211.267726,\n",
       "        211.288651],\n",
       "       [209.865971, 209.887014, 209.908055, ..., 211.25117 , 211.2721  ,\n",
       "        211.293029],\n",
       "       ...,\n",
       "       [212.937299, 212.961548, 212.985793, ..., 214.53    , 214.554009,\n",
       "        214.578015],\n",
       "       [212.943296, 212.967551, 212.991802, ..., 214.536418, 214.560434,\n",
       "        214.584446],\n",
       "       [212.949296, 212.973558, 212.997816, ..., 214.542841, 214.566863,\n",
       "        214.590881]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-289833c5-4666-49c4-90cb-ada863284e00' class='xr-section-summary-in' type='checkbox'  ><label for='section-289833c5-4666-49c4-90cb-ada863284e00' class='xr-section-summary' >Data variables: <span>(98)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-60c90fae-a1c9-4adc-b312-4e8ef21d5ec1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60c90fae-a1c9-4adc-b312-4e8ef21d5ec1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4bb38ef8-4857-4e75-990d-53a2518c7da4' class='xr-var-data-in' type='checkbox'><label for='data-4bb38ef8-4857-4e75-990d-53a2518c7da4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time in UTC</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>tai_utc_difference :</span></dt><dd>37.0</dd><dt><span>leap_second :</span></dt><dd>0000-00-00T00:00:00Z</dd><dt><span>comment :</span></dt><dd>Time of measurement in seconds in the UTC time scale since 1 Jan 2000 00:00:00 UTC. [tai_utc_difference] is the difference between TAI and UTC reference time (seconds) for the first measurement of the data set. If a leap second occurs within the data set, the attribute leap_second is set to the UTC time at which the leap second occurs.</dd></dl></div><div class='xr-var-data'><pre>[626 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_tai</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3a489c8d-6b50-4733-af73-f4279501791c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a489c8d-6b50-4733-af73-f4279501791c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db6a1890-af00-4d03-ab39-75a562ce1a45' class='xr-var-data-in' type='checkbox'><label for='data-db6a1890-af00-4d03-ab39-75a562ce1a45' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time in TAI</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>tai_utc_difference :</span></dt><dd>37.0</dd><dt><span>comment :</span></dt><dd>Time of measurement in seconds in the TAI time scale since 1 Jan 2000 00:00:00 TAI. This time scale contains no leap seconds. The difference (in seconds) with time in UTC is given by the attribute [time:tai_utc_difference].</dd></dl></div><div class='xr-var-data'><pre>[626 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssh_karin</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-db3cba6f-2556-4332-a2ac-3bd12b8abf9d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db3cba6f-2556-4332-a2ac-3bd12b8abf9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c18aaa34-39a7-44b5-b469-5cb6af79e82c' class='xr-var-data-in' type='checkbox'><label for='data-c18aaa34-39a7-44b5-b469-5cb6af79e82c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height</dd><dt><span>standard_name :</span></dt><dd>sea surface height above reference ellipsoid</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_qual</dd><dt><span>valid_min :</span></dt><dd>-15000000</dd><dt><span>valid_max :</span></dt><dd>150000000</dd><dt><span>comment :</span></dt><dd>Fully corrected sea surface height measured by KaRIn. The height is relative to the reference ellipsoid defined in the global attributes. This value is computed using radiometer measurements for wet troposphere effects on the KaRIn measurement (e.g., rad_wet_tropo_cor and sea_state_bias_cor).</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssh_karin_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a39693e1-9586-430f-abe0-9315df9bd855' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a39693e1-9586-430f-abe0-9315df9bd855' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09580279-b12a-4460-9c2e-232ec82da0c6' class='xr-var-data-in' type='checkbox'><label for='data-09580279-b12a-4460-9c2e-232ec82da0c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for sea surface height from KaRIn</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_large_ssh_delta suspect_large_ssh_std suspect_large_ssh_window_std suspect_beam_used suspect_less_than_nine_beams suspect_ssb_out_of_range suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_ssb_not_computable degraded_media_delays_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_ssb_missing bad_radiometer_corr_missing bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         1          2          4          8         16         64\n",
       "        128        256        512       1024       2048       4096\n",
       "       8192      32768      65536     131072     262144     524288\n",
       "   16777216   33554432  134217728  268435456  536870912 1073741824\n",
       " 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>4212113375</dd><dt><span>comment :</span></dt><dd>Quality flag for sea surface height from KaRIn in ssh_karin variable.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssh_karin_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0448dd29-b811-4359-b6bb-a1c04822a45b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0448dd29-b811-4359-b6bb-a1c04822a45b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-697a83f8-d2db-484b-8521-edea7658e7f1' class='xr-var-data-in' type='checkbox'><label for='data-697a83f8-d2db-484b-8521-edea7658e7f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height anomaly uncertainty</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>60000</dd><dt><span>comment :</span></dt><dd>1-sigma uncertainty on the sea surface height from the KaRIn measurement.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssha_karin</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0bca84a0-54a1-4935-ba36-f7a0884bd3d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0bca84a0-54a1-4935-ba36-f7a0884bd3d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6cb64428-fb5c-43b3-bc1e-39c4c518d321' class='xr-var-data-in' type='checkbox'><label for='data-6cb64428-fb5c-43b3-bc1e-39c4c518d321' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height anomaly</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssha_karin_qual</dd><dt><span>valid_min :</span></dt><dd>-1000000</dd><dt><span>valid_max :</span></dt><dd>1000000</dd><dt><span>comment :</span></dt><dd>Sea surface height anomaly from the KaRIn measurement = ssh_karin - mean_sea_surface_cnescls - solid_earth_tide - ocean_tide_fes – internal_tide_hret - pole_tide - dac.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssha_karin_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d0879453-3929-4e3f-9527-7215d9aa5c0b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0879453-3929-4e3f-9527-7215d9aa5c0b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36c8b2b5-e5f5-4105-8498-c6c25da9bb35' class='xr-var-data-in' type='checkbox'><label for='data-36c8b2b5-e5f5-4105-8498-c6c25da9bb35' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height anomaly quality flag</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_large_ssh_delta suspect_large_ssh_std suspect_large_ssh_window_std suspect_beam_used suspect_less_than_nine_beams suspect_ssb_out_of_range suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_ssb_not_computable degraded_media_delays_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_tide_corrections_missing bad_ssb_missing bad_radiometer_corr_missing bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         1          2          4          8         16         64\n",
       "        128        256        512       1024       2048       4096\n",
       "       8192      32768      65536     131072     262144     524288\n",
       "   16777216   33554432   67108864  134217728  268435456  536870912\n",
       " 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>4279222239</dd><dt><span>comment :</span></dt><dd>Quality flag for the SSHA from KaRIn in the ssha_karin variable.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssh_karin_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-78085e3f-543b-4b93-9246-e2d6fd5219c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78085e3f-543b-4b93-9246-e2d6fd5219c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0864b84d-af26-4e53-9833-1f22fe524ff3' class='xr-var-data-in' type='checkbox'><label for='data-0864b84d-af26-4e53-9833-1f22fe524ff3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height</dd><dt><span>standard_name :</span></dt><dd>sea surface height above reference ellipsoid</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>-15000000</dd><dt><span>valid_max :</span></dt><dd>150000000</dd><dt><span>comment :</span></dt><dd>Fully corrected sea surface height measured by KaRIn. The height is relative to the reference ellipsoid defined in the global attributes. This value is computed using model-based estimates for wet troposphere effects on the KaRIn measurement (e.g., model_wet_tropo_cor and sea_state_bias_cor_2).</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssh_karin_2_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-82a18fa1-5fa5-41b9-b495-da6baf3644cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82a18fa1-5fa5-41b9-b495-da6baf3644cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fec9518-7826-4f78-9881-506ebbf70588' class='xr-var-data-in' type='checkbox'><label for='data-3fec9518-7826-4f78-9881-506ebbf70588' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for sea surface height from KaRIn</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_large_ssh_delta suspect_large_ssh_std suspect_large_ssh_window_std suspect_beam_used suspect_less_than_nine_beams suspect_ssb_out_of_range suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_ssb_not_computable degraded_media_delays_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         1          2          4          8         16         64\n",
       "        128        256        512       1024       2048       4096\n",
       "       8192      32768      65536     131072     262144     524288\n",
       "   16777216   33554432  536870912 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>3809460191</dd><dt><span>comment :</span></dt><dd>Quality flag for sea surface height from KaRIn in ssh_karin_2 variable.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssha_karin_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-881bde6c-b415-4d42-aeae-02702e3066e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-881bde6c-b415-4d42-aeae-02702e3066e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef00f68e-17c4-4550-971c-28e36bf9a438' class='xr-var-data-in' type='checkbox'><label for='data-ef00f68e-17c4-4550-971c-28e36bf9a438' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height anomaly</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssha_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>-1000000</dd><dt><span>valid_max :</span></dt><dd>1000000</dd><dt><span>comment :</span></dt><dd>Sea surface height anomaly from the KaRIn measurement = ssh_karin_2 - mean_sea_surface_cnescls - solid_earth_tide - ocean_tide_fes – internal_tide_hret - pole_tide - dac.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssha_karin_2_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-90470ed8-5f74-4b29-b572-7c4776e234a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90470ed8-5f74-4b29-b572-7c4776e234a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-643c1475-493d-449b-98b5-e41cae5388a4' class='xr-var-data-in' type='checkbox'><label for='data-643c1475-493d-449b-98b5-e41cae5388a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height anomaly quality flag</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_large_ssh_delta suspect_large_ssh_std suspect_large_ssh_window_std suspect_beam_used suspect_less_than_nine_beams suspect_ssb_out_of_range suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_ssb_not_computable degraded_media_delays_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_tide_corrections_missing bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         1          2          4          8         16         64\n",
       "        128        256        512       1024       2048       4096\n",
       "       8192      32768      65536     131072     262144     524288\n",
       "   16777216   33554432   67108864  536870912 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>3876569055</dd><dt><span>comment :</span></dt><dd>Quality flag for the SSHA from KaRIn in the ssha_karin_2 variable</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>polarization_karin</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-00e03570-e69c-4e79-bd51-548e03714bf8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00e03570-e69c-4e79-bd51-548e03714bf8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-498523e6-ba28-4952-8467-7d18010e47f3' class='xr-var-data-in' type='checkbox'><label for='data-498523e6-ba28-4952-8467-7d18010e47f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>polarization for each side of the KaRIn swath</dd><dt><span>comment :</span></dt><dd>H denotes co-polarized linear horizontal, V denotes co-polarized linear vertical.</dd></dl></div><div class='xr-var-data'><pre>[1252 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_karin</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c7f36918-e468-4034-ba52-45d2a5943b9d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c7f36918-e468-4034-ba52-45d2a5943b9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed0357e7-f8ac-413d-9d49-f2b23bad626d' class='xr-var-data-in' type='checkbox'><label for='data-ed0357e7-f8ac-413d-9d49-f2b23bad626d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>significant wave height from KaRIn</dd><dt><span>standard_name :</span></dt><dd>sea_surface_wave_significant_height</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>swh_karin_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>15000</dd><dt><span>comment :</span></dt><dd>Significant wave height from KaRIn volumetric correlation.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_karin_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f8536596-a6a6-452e-9572-346e428cf36e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f8536596-a6a6-452e-9572-346e428cf36e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6e46b91-2dd5-4aa8-b29c-fa0d2cefa4d9' class='xr-var-data-in' type='checkbox'><label for='data-c6e46b91-2dd5-4aa8-b29c-fa0d2cefa4d9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for significant wave height from KaRIn.</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_beam_used suspect_less_than_nine_beams suspect_rain_likely suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         8         16         32        128        256        512\n",
       "       1024       2048       4096       8192     131072     262144\n",
       "     524288   16777216   33554432  536870912 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>3809361848</dd><dt><span>comment :</span></dt><dd>Quality flag for significant wave height from KaRIn in swh_karin_qual variable.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_karin_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-77845e5f-9212-4316-ad2d-daa30a1358bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77845e5f-9212-4316-ad2d-daa30a1358bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4980e364-8fc0-4164-b513-243d494ff85a' class='xr-var-data-in' type='checkbox'><label for='data-4980e364-8fc0-4164-b513-243d494ff85a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>1-sigma uncertainty on significant wave height from KaRIn</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>25000</dd><dt><span>comment :</span></dt><dd>1-sigma uncertainty on significant wave height from KaRIn.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_karin</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1be6c17e-d85f-4c46-8dcb-f93ce3b1850b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1be6c17e-d85f-4c46-8dcb-f93ce3b1850b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9371751f-2150-420f-8d9f-14caed77955f' class='xr-var-data-in' type='checkbox'><label for='data-9371751f-2150-420f-8d9f-14caed77955f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>normalized radar cross section (sigma0) from KaRIn</dd><dt><span>standard_name :</span></dt><dd>surface_backwards_scattering_coefficient_of_radar_wave</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>quality_flag :</span></dt><dd>sig0_karin_qual</dd><dt><span>valid_min :</span></dt><dd>-1000.0</dd><dt><span>valid_max :</span></dt><dd>10000000.0</dd><dt><span>comment :</span></dt><dd>Normalized radar cross section (sigma0) from KaRIn in real, linear units (not decibels).  The value may be negative due to noise subtraction.  The value is corrected for instrument calibration and atmospheric attenuation. Radiometer measurements provide the atmospheric attenuation (sig0_cor_atmos_rad).</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_karin_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-69616286-bd44-42ae-b3f3-e68a39acb085' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69616286-bd44-42ae-b3f3-e68a39acb085' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5738457d-3efc-4e93-9058-f4e6153bd848' class='xr-var-data-in' type='checkbox'><label for='data-5738457d-3efc-4e93-9058-f4e6153bd848' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for sigma0 from KaRIn.</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_large_nrcs_delta suspect_large_nrcs_std suspect_large_nrcs_window_std suspect_beam_used suspect_less_than_nine_beams suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_media_attenuation_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_radiometer_media_attenuation_missing bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         1          2          4          8         16        128\n",
       "        256        512       1024       2048       4096       8192\n",
       "      65536     131072     262144     524288   16777216   33554432\n",
       "  268435456  536870912 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>4077862815</dd><dt><span>comment :</span></dt><dd>Quality flag for sigma0 from KaRIn in sig0_karin_qual variable.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_karin_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9780867f-dcf9-475e-aaaf-1acea11d6926' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9780867f-dcf9-475e-aaaf-1acea11d6926' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a10db1c-89ed-4819-bff7-9d70cf728dc2' class='xr-var-data-in' type='checkbox'><label for='data-7a10db1c-89ed-4819-bff7-9d70cf728dc2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>1-sigma uncertainty on sigma0 from KaRIn</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>valid_max :</span></dt><dd>1000.0</dd><dt><span>comment :</span></dt><dd>1-sigma uncertainty on sigma0 from KaRIn.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_karin_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ca29938e-c81a-4c74-88ba-fadb142ab27e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca29938e-c81a-4c74-88ba-fadb142ab27e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a223d6fc-d581-44b6-937c-9e4b56320d94' class='xr-var-data-in' type='checkbox'><label for='data-a223d6fc-d581-44b6-937c-9e4b56320d94' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>normalized radar cross section (sigma0) from KaRIn</dd><dt><span>standard_name :</span></dt><dd>surface_backwards_scattering_coefficient_of_radar_wave</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>quality_flag :</span></dt><dd>sig0_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>-1000.0</dd><dt><span>valid_max :</span></dt><dd>10000000.0</dd><dt><span>comment :</span></dt><dd>Normalized radar cross section (sigma0) from KaRIn in real, linear units (not decibels).  The value may be negative due to noise subtraction.  The value is corrected for instrument calibration and atmospheric attenuation. A meteorological model provides the atmospheric attenuation (sig0_cor_atmos_model).</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_karin_2_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6c93d563-76ae-4f96-95bc-a0f4607b4427' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c93d563-76ae-4f96-95bc-a0f4607b4427' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7452978d-b733-4420-ad5a-398a90247d1a' class='xr-var-data-in' type='checkbox'><label for='data-7452978d-b733-4420-ad5a-398a90247d1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for sigma0 from KaRIn.</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_large_nrcs_delta suspect_large_nrcs_std suspect_large_nrcs_window_std suspect_beam_used suspect_less_than_nine_beams suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_media_attenuation_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         1          2          4          8         16        128\n",
       "        256        512       1024       2048       4096       8192\n",
       "      65536     131072     262144     524288   16777216   33554432\n",
       "  536870912 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>3809427359</dd><dt><span>comment :</span></dt><dd>Quality flag for sigma0 from KaRIn in sig0_karin_2 variable.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_karin</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-470b6fba-b85b-4af7-9125-b5f5b18954ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-470b6fba-b85b-4af7-9125-b5f5b18954ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7b2a7d5-ce22-46c0-a7c0-775e22f2665c' class='xr-var-data-in' type='checkbox'><label for='data-b7b2a7d5-ce22-46c0-a7c0-775e22f2665c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wind speed from KaRIn</dd><dt><span>standard_name :</span></dt><dd>wind_speed</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>quality_flag :</span></dt><dd>wind_speed_karin_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>65000</dd><dt><span>comment :</span></dt><dd>Wind speed from KaRIn computed from sig0_karin.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_karin_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9440ab51-4707-4f5c-941d-396b74d787ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9440ab51-4707-4f5c-941d-396b74d787ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-736baf33-e336-4a58-b33c-5fa7a5f9be2e' class='xr-var-data-in' type='checkbox'><label for='data-736baf33-e336-4a58-b33c-5fa7a5f9be2e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for wind speed from KaRIn.</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_beam_used suspect_less_than_nine_beams suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_media_attenuation_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_radiometer_media_attenuation_missing bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         8         16        128        256        512       1024\n",
       "       2048       4096       8192      65536     131072     262144\n",
       "     524288   16777216   33554432  268435456  536870912 1073741824\n",
       " 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>4077862808</dd><dt><span>comment :</span></dt><dd>Quality flag for wind speed from KaRIn in wind_speed_karin variable.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_karin_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-64e9c109-e668-430e-b066-5c52a2ed9f1b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64e9c109-e668-430e-b066-5c52a2ed9f1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9200b200-ce93-4cfe-bdac-8c8966071d4b' class='xr-var-data-in' type='checkbox'><label for='data-9200b200-ce93-4cfe-bdac-8c8966071d4b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wind speed from KaRIn</dd><dt><span>standard_name :</span></dt><dd>wind_speed</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>quality_flag :</span></dt><dd>wind_speed_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>65000</dd><dt><span>comment :</span></dt><dd>Wind speed from KaRIn computed from sig0_karin_2.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_karin_2_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-439e6403-86be-4ba0-abd3-355d367a913f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-439e6403-86be-4ba0-abd3-355d367a913f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba20577c-974d-4123-9bb5-c1df0953f940' class='xr-var-data-in' type='checkbox'><label for='data-ba20577c-974d-4123-9bb5-c1df0953f940' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for wind speed from KaRIn.</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>suspect_beam_used suspect_less_than_nine_beams suspect_pixel_used suspect_num_pt_avg suspect_karin_telem suspect_orbit_control suspect_sc_event_flag suspect_tvp_qual suspect_volumetric_corr degraded_media_attenuation_missing degraded_beam_used degraded_large_attitude degraded_karin_ifft_overflow bad_karin_telem bad_very_large_attitude bad_outside_of_range degraded bad_not_usable</dd><dt><span>flag_masks :</span></dt><dd>[         8         16        128        256        512       1024\n",
       "       2048       4096       8192      65536     131072     262144\n",
       "     524288   16777216   33554432  536870912 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>3809427352</dd><dt><span>comment :</span></dt><dd>Quality flag for wind speed from KaRIn in wind_speed_karin_2 variable.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>num_pt_avg</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-98c5e39f-4090-4c0b-a0e0-d0e26a2a64a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98c5e39f-4090-4c0b-a0e0-d0e26a2a64a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d955563b-c946-46b3-8021-ebc8e8650566' class='xr-var-data-in' type='checkbox'><label for='data-d955563b-c946-46b3-8021-ebc8e8650566' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of samples averaged</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>289</dd><dt><span>comment :</span></dt><dd>Number of native unsmoothed, beam-combined KaRIn samples averaged.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_wind_speed_karin_source</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dac2363b-5f63-4611-ab05-910fe83e1870' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dac2363b-5f63-4611-ab05-910fe83e1870' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51228b7c-5693-4e68-a4f8-e526d6a25c52' class='xr-var-data-in' type='checkbox'><label for='data-51228b7c-5693-4e68-a4f8-e526d6a25c52' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>source flag for significant wave height information used to compute wind speed from KaRIn</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>nadir_altimeter karin model</dd><dt><span>flag_masks :</span></dt><dd>[1 2 4]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>7</dd><dt><span>comment :</span></dt><dd>Bit flag that indicates the source of significant wave height information that was used to compute the wind speed estimate from KaRIn data in wind_speed_karin.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_wind_speed_karin_source_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-42dd91f8-07bb-474f-b2d6-16f4fcd4a793' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42dd91f8-07bb-474f-b2d6-16f4fcd4a793' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05393893-1029-464a-9c23-995ec200f99b' class='xr-var-data-in' type='checkbox'><label for='data-05393893-1029-464a-9c23-995ec200f99b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>source flag for significant wave height information used to compute wind speed from KaRIn</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>nadir_altimeter karin model</dd><dt><span>flag_masks :</span></dt><dd>[1 2 4]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>7</dd><dt><span>comment :</span></dt><dd>Bit flag that indicates the source of significant wave height information that was used to compute the wind speed estimate from KaRIn data in wind_speed_karin_2.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_nadir_altimeter</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-78db4892-48cd-4669-b118-8a5f74f3d930' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78db4892-48cd-4669-b118-8a5f74f3d930' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbca04ce-01ec-49b3-8d96-6a5bd6a6db3b' class='xr-var-data-in' type='checkbox'><label for='data-dbca04ce-01ec-49b3-8d96-6a5bd6a6db3b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>significant wave height from nadir altimeter</dd><dt><span>standard_name :</span></dt><dd>sea_surface_wave_significant_height</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>15000</dd><dt><span>comment :</span></dt><dd>Significant wave height from nadir altimeter.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_model</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2929538a-3128-407c-8114-bc5cf4b908d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2929538a-3128-407c-8114-bc5cf4b908d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ffc0284a-7976-42ce-817c-cc22768f9276' class='xr-var-data-in' type='checkbox'><label for='data-ffc0284a-7976-42ce-817c-cc22768f9276' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>significant wave height from wave model</dd><dt><span>standard_name :</span></dt><dd>sea_surface_wave_significant_height</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>15000</dd><dt><span>comment :</span></dt><dd>Significant wave height from model.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_direction</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-23748363-6788-47a4-bf12-1269ef51df87' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23748363-6788-47a4-bf12-1269ef51df87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-404a85bf-c289-4668-91a2-5574e795b68e' class='xr-var-data-in' type='checkbox'><label for='data-404a85bf-c289-4668-91a2-5574e795b68e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean sea surface wave direction</dd><dt><span>source :</span></dt><dd>Meteo France Wave Model (MF-WAM)</dd><dt><span>institution :</span></dt><dd>Meteo France</dd><dt><span>units :</span></dt><dd>degree</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>36000</dd><dt><span>comment :</span></dt><dd>Mean sea surface wave direction.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_period_t02</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9872293c-9dc4-4b57-882c-d6d401aa3ce6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9872293c-9dc4-4b57-882c-d6d401aa3ce6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc0658ca-a721-435d-b395-0cefc7f719e8' class='xr-var-data-in' type='checkbox'><label for='data-cc0658ca-a721-435d-b395-0cefc7f719e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>t02 mean wave period</dd><dt><span>standard_name :</span></dt><dd>sea_surface_wind_wave_mean_period_from_variance_spectral_density_second_frequency_moment</dd><dt><span>source :</span></dt><dd>Meteo France Wave Model (MF-WAM)</dd><dt><span>institution :</span></dt><dd>Meteo France</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Sea surface wind wave mean period from model spectral density second moment.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_model_u</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c6d06ac7-0069-4e7b-8c62-1080645c96da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6d06ac7-0069-4e7b-8c62-1080645c96da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bdbd2d69-7c72-4193-b0d8-453fed5252ea' class='xr-var-data-in' type='checkbox'><label for='data-bdbd2d69-7c72-4193-b0d8-453fed5252ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>u component of model wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_min :</span></dt><dd>-30000</dd><dt><span>valid_max :</span></dt><dd>30000</dd><dt><span>comment :</span></dt><dd>Eastward component of the atmospheric model wind vector at 10 meters.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_model_v</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3cc24f2d-2146-4ac4-a8f6-615b506c8f89' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3cc24f2d-2146-4ac4-a8f6-615b506c8f89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71793173-7304-44a5-9b94-654d346327ec' class='xr-var-data-in' type='checkbox'><label for='data-71793173-7304-44a5-9b94-654d346327ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>v component of model wind</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_min :</span></dt><dd>-30000</dd><dt><span>valid_max :</span></dt><dd>30000</dd><dt><span>comment :</span></dt><dd>Northward component of the atmospheric model wind vector at 10 meters.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_rad</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f4e24c3e-3d23-4256-9bb2-416814f3d1a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4e24c3e-3d23-4256-9bb2-416814f3d1a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c62418b8-074e-426b-8cca-9412669182b2' class='xr-var-data-in' type='checkbox'><label for='data-c62418b8-074e-426b-8cca-9412669182b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wind speed from radiometer</dd><dt><span>standard_name :</span></dt><dd>wind_speed</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>65000</dd><dt><span>comment :</span></dt><dd>Wind speed from radiometer measurements.</dd></dl></div><div class='xr-var-data'><pre>[1252 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>distance_to_coast</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-74811b95-6dae-4d84-9a0d-c22f3223bf61' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74811b95-6dae-4d84-9a0d-c22f3223bf61' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8616895-3688-48ed-823a-3fab24217688' class='xr-var-data-in' type='checkbox'><label for='data-a8616895-3688-48ed-823a-3fab24217688' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>distance to coast</dd><dt><span>source :</span></dt><dd>MODIS/GlobCover</dd><dt><span>institution :</span></dt><dd>European Space Agency</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-21000</dd><dt><span>valid_max :</span></dt><dd>21000</dd><dt><span>comment :</span></dt><dd>Approximate distance to the nearest coast point along the Earth surface.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heading_to_coast</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-14c52ea5-fbec-4658-b65e-79c7f4d83e6c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14c52ea5-fbec-4658-b65e-79c7f4d83e6c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-986f6189-2e88-4cb2-8584-450cb44e84e0' class='xr-var-data-in' type='checkbox'><label for='data-986f6189-2e88-4cb2-8584-450cb44e84e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>heading to coast</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>35999</dd><dt><span>comment :</span></dt><dd>Approximate compass heading (0-360 degrees with respect to true north) to the nearest coast point.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ancillary_surface_classification_flag</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-22d682ad-a772-4118-9912-85f496ce2c50' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22d682ad-a772-4118-9912-85f496ce2c50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea6cf94d-c744-4ac0-99b6-547363d7d804' class='xr-var-data-in' type='checkbox'><label for='data-ea6cf94d-c744-4ac0-99b6-547363d7d804' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>surface classification</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>source :</span></dt><dd>MODIS/GlobCover</dd><dt><span>institution :</span></dt><dd>European Space Agency</dd><dt><span>flag_meanings :</span></dt><dd>open_ocean land continental_water aquatic_vegetation continental_ice_snow floating_ice salted_basin</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4 5 6]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>6</dd><dt><span>comment :</span></dt><dd>7-state surface type classification computed from a mask built with MODIS and GlobCover data.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dynamic_ice_flag</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6bd04dd7-fc96-4bea-9dd2-5cd0c80e349b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6bd04dd7-fc96-4bea-9dd2-5cd0c80e349b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-897c2f25-9e5c-4a67-b276-220735634c39' class='xr-var-data-in' type='checkbox'><label for='data-897c2f25-9e5c-4a67-b276-220735634c39' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>dynamic ice flag</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>source :</span></dt><dd>EUMETSAT Ocean and Sea Ice Satellite Applications Facility</dd><dt><span>institution :</span></dt><dd>EUMETSAT</dd><dt><span>flag_meanings :</span></dt><dd>no_ice probable_ice ice no_data</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>3</dd><dt><span>comment :</span></dt><dd>Dynamic ice flag for the location of the KaRIn measurement.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rain_flag</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-70ae7e1a-274e-452c-91ae-d09f06ba552a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70ae7e1a-274e-452c-91ae-d09f06ba552a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d27c7587-abfa-48ef-b140-af9bfa66bd4a' class='xr-var-data-in' type='checkbox'><label for='data-d27c7587-abfa-48ef-b140-af9bfa66bd4a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>rain flag</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>no_rain probable_rain rain no_data</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>3</dd><dt><span>comment :</span></dt><dd>Flag indicates that signal is attenuated, probably from rain.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_surface_type_flag</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0c0675f4-e5c3-4e44-9c80-dbe069b41f15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c0675f4-e5c3-4e44-9c80-dbe069b41f15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74f9435e-c4a3-4e80-ab29-149b5cfa14aa' class='xr-var-data-in' type='checkbox'><label for='data-74f9435e-c4a3-4e80-ab29-149b5cfa14aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radiometer surface type flag</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>flag_meanings :</span></dt><dd>open_ocean coastal_ocean land</dd><dt><span>flag_values :</span></dt><dd>[0 1 2]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2</dd><dt><span>comment :</span></dt><dd>Flag indicating the validity and type of processing applied to generate the wet troposphere correction (rad_wet_tropo_cor). A value of 0 indicates that open ocean processing is used, a value of 1 indicates coastal processing, and a value of 2 indicates that rad_wet_tropo_cor is invalid due to land contamination.</dd></dl></div><div class='xr-var-data'><pre>[1252 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sc_altitude</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0bbd6823-755d-4e01-8440-a40c61f7d846' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0bbd6823-755d-4e01-8440-a40c61f7d846' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7383ca20-e80c-473c-8686-38aeaff2caba' class='xr-var-data-in' type='checkbox'><label for='data-7383ca20-e80c-473c-8686-38aeaff2caba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>altitude of KMSF origin</dd><dt><span>standard_name :</span></dt><dd>height_above_reference_ellipsoid</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>orbit_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2000000000</dd><dt><span>comment :</span></dt><dd>Altitude of the KMSF origin.</dd></dl></div><div class='xr-var-data'><pre>[626 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orbit_alt_rate</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-21a5c8ab-8c55-4513-a075-e3c6f1cc0121' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21a5c8ab-8c55-4513-a075-e3c6f1cc0121' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3bc688c-d532-49e0-9e52-4de32397b0e9' class='xr-var-data-in' type='checkbox'><label for='data-e3bc688c-d532-49e0-9e52-4de32397b0e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>orbital altitude rate with respect to mean sea surface</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_min :</span></dt><dd>-3500</dd><dt><span>valid_max :</span></dt><dd>3500</dd><dt><span>comment :</span></dt><dd>Orbital altitude rate with respect to the mean sea surface.</dd></dl></div><div class='xr-var-data'><pre>[626 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cross_track_angle</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cb3b0c8a-866f-4446-903a-1780344b3983' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb3b0c8a-866f-4446-903a-1780344b3983' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76c15544-9cd0-4c8c-bf9a-7f132b826077' class='xr-var-data-in' type='checkbox'><label for='data-76c15544-9cd0-4c8c-bf9a-7f132b826077' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>cross-track angle from true north</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>359999999</dd><dt><span>comment :</span></dt><dd>Angle with respect to true north of the cross-track direction to the right of the spacecraft velocity vector.</dd></dl></div><div class='xr-var-data'><pre>[626 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sc_roll</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d44aef24-3c32-41e1-b94c-eba810c5d1d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d44aef24-3c32-41e1-b94c-eba810c5d1d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a0a61f0-f58b-45f4-b29c-b699b770e246' class='xr-var-data-in' type='checkbox'><label for='data-0a0a61f0-f58b-45f4-b29c-b699b770e246' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>roll of the spacecraft</dd><dt><span>standard_name :</span></dt><dd>platform_roll_angle</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>quality_flag :</span></dt><dd>orbit_qual</dd><dt><span>valid_min :</span></dt><dd>-1799999</dd><dt><span>valid_max :</span></dt><dd>1800000</dd><dt><span>comment :</span></dt><dd>KMSF attitude roll angle; positive values move the +y antenna down.</dd></dl></div><div class='xr-var-data'><pre>[626 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sc_pitch</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f446badc-1b84-4acd-83dc-aa7e1182891b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f446badc-1b84-4acd-83dc-aa7e1182891b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d07ace7e-11a5-4cf2-8b21-9e27bb3238b4' class='xr-var-data-in' type='checkbox'><label for='data-d07ace7e-11a5-4cf2-8b21-9e27bb3238b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pitch of the spacecraft</dd><dt><span>standard_name :</span></dt><dd>platform_pitch_angle</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>quality_flag :</span></dt><dd>orbit_qual</dd><dt><span>valid_min :</span></dt><dd>-1799999</dd><dt><span>valid_max :</span></dt><dd>1800000</dd><dt><span>comment :</span></dt><dd>KMSF attitude pitch angle; positive values move the KMSF +x axis up.</dd></dl></div><div class='xr-var-data'><pre>[626 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sc_yaw</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b7de7096-19fc-4751-814d-6dbe2b8f9c8f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b7de7096-19fc-4751-814d-6dbe2b8f9c8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fea224b-e5d9-458a-a051-5588d558beed' class='xr-var-data-in' type='checkbox'><label for='data-1fea224b-e5d9-458a-a051-5588d558beed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>yaw of the spacecraft</dd><dt><span>standard_name :</span></dt><dd>platform_yaw_angle</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>quality_flag :</span></dt><dd>orbit_qual</dd><dt><span>valid_min :</span></dt><dd>-1799999</dd><dt><span>valid_max :</span></dt><dd>1800000</dd><dt><span>comment :</span></dt><dd>KMSF attitude yaw angle relative to the nadir track. The yaw angle is a right-handed rotation about the nadir (downward) direction. A yaw value of 0 deg indicates that the KMSF +x axis is aligned with the horizontal component of the Earth-relative velocity vector. A yaw value of 180 deg indicates that the spacecraft is in a yaw-flipped state, with the KMSF -x axis aligned with the horizontal component of the Earth-relative velocity vector.</dd></dl></div><div class='xr-var-data'><pre>[626 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velocity_heading</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b3badb14-37a2-4bec-9c34-ab7fcb638eee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3badb14-37a2-4bec-9c34-ab7fcb638eee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dcea0d4f-87a6-42cd-a49a-4a2ffec6a30d' class='xr-var-data-in' type='checkbox'><label for='data-dcea0d4f-87a6-42cd-a49a-4a2ffec6a30d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>heading of the spacecraft Earth-relative velocity vector</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>quality_flag :</span></dt><dd>orbit_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>359999999</dd><dt><span>comment :</span></dt><dd>Angle with respect to true north of the horizontal component of the spacecraft Earth-relative velocity vector. A value of 90 deg indicates that the spacecraft velocity vector pointed due east. Values between 0 and 90 deg indicate that the velocity vector has a northward component, and values between 90 and 180 deg indicate that the velocity vector has a southward component.</dd></dl></div><div class='xr-var-data'><pre>[626 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orbit_qual</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-31880a55-24bb-4794-b2c6-9be1e68504b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31880a55-24bb-4794-b2c6-9be1e68504b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb53018e-589c-4bf3-9c79-95d0f6ac15e4' class='xr-var-data-in' type='checkbox'><label for='data-bb53018e-589c-4bf3-9c79-95d0f6ac15e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>orbit quality flag</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>good orbit_estimated_during_a_maneuver orbit_interpolated_over_data_gap orbit_extrapolated_for_a_duration_less_than_1_day orbit_extrapolated_for_a_duration_between_1_to_2_days orbit_extrapolated_for_a_duration_greater_than_2_days bad_attitude</dd><dt><span>flag_values :</span></dt><dd>[ 0  4  5  6  7  8 64]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>64</dd><dt><span>comment :</span></dt><dd>Flag indicating the quality of the reconstructed attitude and orbit ephemeris. A value of 0 indicates the reconstructed attitude and orbit ephemeris are both good. Non-zero values less than 64 indicate that the reconstructed attitude is good but there are issues that degrade the quality of the orbit ephemeris. A value of 64 indicates that the reconstructed attitude is degraded or bad.</dd></dl></div><div class='xr-var-data'><pre>[626 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude_avg_ssh</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c3f6dbfb-c332-4c57-a7cd-02ba58738c75' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3f6dbfb-c332-4c57-a7cd-02ba58738c75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89967712-2eaa-4c4e-8432-3fd0dd706256' class='xr-var-data-in' type='checkbox'><label for='data-89967712-2eaa-4c4e-8432-3fd0dd706256' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>weighted average latitude of samples used to compute SSH</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_min :</span></dt><dd>-80000000</dd><dt><span>valid_max :</span></dt><dd>80000000</dd><dt><span>comment :</span></dt><dd>Latitude of measurement [-80,80]. Positive latitude is North latitude, negative latitude is South latitude.  This value may be biased away from a nominal grid location if some of the native, unsmoothed samples were discarded during processing.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude_avg_ssh</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-77cd26bc-34ba-4b68-b7a1-0edcd0c54081' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77cd26bc-34ba-4b68-b7a1-0edcd0c54081' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1a745e4-3279-4de3-abc3-be99ff3a43a6' class='xr-var-data-in' type='checkbox'><label for='data-e1a745e4-3279-4de3-abc3-be99ff3a43a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>weighted average longitude of samples used to compute SSH</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>359999999</dd><dt><span>comment :</span></dt><dd>Longitude of measurement. East longitude relative to Greenwich meridian.  This value may be biased away from a nominal grid location if some of the native, unsmoothed samples were discarded during processing.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cross_track_distance</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-645338c4-e654-460d-97f0-13a9bc29c1ea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-645338c4-e654-460d-97f0-13a9bc29c1ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8bbb20c-a1b0-4d66-b0c6-f43650910b7f' class='xr-var-data-in' type='checkbox'><label for='data-c8bbb20c-a1b0-4d66-b0c6-f43650910b7f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>cross track distance</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-75000.0</dd><dt><span>valid_max :</span></dt><dd>75000.0</dd><dt><span>comment :</span></dt><dd>Distance of sample from nadir. Negative values indicate the left side of the swath, and positive values indicate the right side of the swath.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x_factor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-66ab3862-9f38-4e5c-9166-a10e26d1d731' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66ab3862-9f38-4e5c-9166-a10e26d1d731' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fad8424-c3e6-438a-8feb-5045805ea2bd' class='xr-var-data-in' type='checkbox'><label for='data-3fad8424-c3e6-438a-8feb-5045805ea2bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radiometric calibration X factor as a composite value for the X factors of the +y and -y channels</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>valid_max :</span></dt><dd>1e+20</dd><dt><span>comment :</span></dt><dd>Radiometric calibration X factor as a linear power ratio.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_cor_atmos_model</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-616fe6b0-3736-4296-9655-820be788e6ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-616fe6b0-3736-4296-9655-820be788e6ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-566472c5-ca60-497d-a512-ee5db84c6a00' class='xr-var-data-in' type='checkbox'><label for='data-566472c5-ca60-497d-a512-ee5db84c6a00' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>two-way atmospheric correction to sigma0 from model</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>quality_flag :</span></dt><dd>sig0_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>1.0</dd><dt><span>valid_max :</span></dt><dd>10.0</dd><dt><span>comment :</span></dt><dd>Atmospheric correction to sigma0 from weather model data as a linear power multiplier (not decibels). sig0_cor_atmos_model is already applied in computing sig0_karin_2.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_cor_atmos_rad</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7f5d1069-bf68-4295-a20b-db90d78ec8ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f5d1069-bf68-4295-a20b-db90d78ec8ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c19056dc-0577-432f-9e1d-b2d7b0921b5c' class='xr-var-data-in' type='checkbox'><label for='data-c19056dc-0577-432f-9e1d-b2d7b0921b5c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>two-way atmospheric correction to sigma0 from radiometer data</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>quality_flag :</span></dt><dd>sig0_karin_qual</dd><dt><span>valid_min :</span></dt><dd>1.0</dd><dt><span>valid_max :</span></dt><dd>10.0</dd><dt><span>comment :</span></dt><dd>Atmospheric correction to sigma0 from radiometer data as a linear power multiplier (not decibels). sig0_cor_atmos_rad is already applied in computing sig0_karin.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>doppler_centroid</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8faee811-75f6-444c-84e7-caab91d4c8d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8faee811-75f6-444c-84e7-caab91d4c8d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28f67e7f-108a-41cd-88d4-505157b7c2a4' class='xr-var-data-in' type='checkbox'><label for='data-28f67e7f-108a-41cd-88d4-505157b7c2a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>doppler centroid estimated by KaRIn</dd><dt><span>units :</span></dt><dd>1/s</dd><dt><span>valid_min :</span></dt><dd>-30000</dd><dt><span>valid_max :</span></dt><dd>30000</dd><dt><span>comment :</span></dt><dd>Doppler centroid (in hertz or cycles per second) estimated by KaRIn.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>phase_bias_ref_surface</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c4a19d87-1a8f-4b89-90c7-a411b5b66ac9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4a19d87-1a8f-4b89-90c7-a411b5b66ac9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22d4af0e-b524-40c5-b2fd-4e53e6ac92e9' class='xr-var-data-in' type='checkbox'><label for='data-22d4af0e-b524-40c5-b2fd-4e53e6ac92e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>height of reference surface used for phase bias calculation</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-15000000</dd><dt><span>valid_max :</span></dt><dd>150000000</dd><dt><span>comment :</span></dt><dd>Height (relative to the reference ellipsoid) of the reference surface used for phase bias calculation during L1B processing.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>obp_ref_surface</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ce0c47d9-e34e-4aeb-ac43-333117f88372' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce0c47d9-e34e-4aeb-ac43-333117f88372' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b870660-92c8-4860-aa41-f567c8c50fe1' class='xr-var-data-in' type='checkbox'><label for='data-8b870660-92c8-4860-aa41-f567c8c50fe1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>height of reference surface used by on-board-processor</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-15000000</dd><dt><span>valid_max :</span></dt><dd>150000000</dd><dt><span>comment :</span></dt><dd>Height (relative to the reference ellipsoid) of the reference surface used by the KaRIn on-board processor.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_tmb_187</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fde50ee8-49ee-4c92-9e1c-902d8728a6fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fde50ee8-49ee-4c92-9e1c-902d8728a6fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3270e3a1-f990-42cc-83ca-d37f97121614' class='xr-var-data-in' type='checkbox'><label for='data-3270e3a1-f990-42cc-83ca-d37f97121614' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radiometer main beam brightness temperature at 18.7 GHz</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>valid_min :</span></dt><dd>13000</dd><dt><span>valid_max :</span></dt><dd>25000</dd><dt><span>comment :</span></dt><dd>Main beam brightness temperature measurement at 18.7 GHz. Value is unsmoothed (along-track averaging has not been performed).</dd></dl></div><div class='xr-var-data'><pre>[1252 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_tmb_238</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-80aa49fe-1d3a-455d-ab48-f67f0d1459ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80aa49fe-1d3a-455d-ab48-f67f0d1459ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f7da7e7-7114-4db2-afd1-d07205f5c8cb' class='xr-var-data-in' type='checkbox'><label for='data-2f7da7e7-7114-4db2-afd1-d07205f5c8cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radiometer main beam brightness temperature at 23.8 GHz</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>valid_min :</span></dt><dd>13000</dd><dt><span>valid_max :</span></dt><dd>25000</dd><dt><span>comment :</span></dt><dd>Main beam brightness temperature measurement at 23.8 GHz. Value is unsmoothed (along-track averaging has not been performed).</dd></dl></div><div class='xr-var-data'><pre>[1252 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_tmb_340</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c84356ad-ddfc-41b5-879d-3f529659609c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c84356ad-ddfc-41b5-879d-3f529659609c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc3093f9-e6e6-4aa1-af56-5fb2a8610017' class='xr-var-data-in' type='checkbox'><label for='data-bc3093f9-e6e6-4aa1-af56-5fb2a8610017' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radiometer main beam brightness temperature at 34.0 GHz</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>valid_min :</span></dt><dd>15000</dd><dt><span>valid_max :</span></dt><dd>28000</dd><dt><span>comment :</span></dt><dd>Main beam brightness temperature measurement at 34.0 GHz. Value is unsmoothed (along-track averaging has not been performed).</dd></dl></div><div class='xr-var-data'><pre>[1252 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_water_vapor</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b0c55f57-0e92-4f15-a477-aa602142ca19' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0c55f57-0e92-4f15-a477-aa602142ca19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b666aa6-b0ae-4cab-9dd7-382624df37b5' class='xr-var-data-in' type='checkbox'><label for='data-6b666aa6-b0ae-4cab-9dd7-382624df37b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>water vapor content from radiometer</dd><dt><span>standard_name :</span></dt><dd>atmosphere_water_vapor_content</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>kg/m^2</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>15000</dd><dt><span>comment :</span></dt><dd>Integrated water vapor content from radiometer measurements.</dd></dl></div><div class='xr-var-data'><pre>[1252 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_cloud_liquid_water</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-32bea197-c5b9-4d13-8291-c152f3673ad8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32bea197-c5b9-4d13-8291-c152f3673ad8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e9fce63-e5b6-4bf0-b233-4eb7d56a4eae' class='xr-var-data-in' type='checkbox'><label for='data-8e9fce63-e5b6-4bf0-b233-4eb7d56a4eae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>liquid water content from radiometer</dd><dt><span>standard_name :</span></dt><dd>atmosphere_cloud_liquid_water_content</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>kg/m^2</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Integrated cloud liquid water content from radiometer measurements.</dd></dl></div><div class='xr-var-data'><pre>[1252 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_sea_surface_cnescls</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-aaf18aa2-d337-4bcc-ae4e-68a579e8a273' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aaf18aa2-d337-4bcc-ae4e-68a579e8a273' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da1c67af-706e-4640-860c-c70eea8959fc' class='xr-var-data-in' type='checkbox'><label for='data-da1c67af-706e-4640-860c-c70eea8959fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean sea surface height (CNES/CLS)</dd><dt><span>source :</span></dt><dd>CNES_CLS_2022</dd><dt><span>institution :</span></dt><dd>CNES/CLS</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-1500000</dd><dt><span>valid_max :</span></dt><dd>1500000</dd><dt><span>comment :</span></dt><dd>Mean sea surface height above the reference ellipsoid. The value is referenced to the mean tide system, i.e. includes the permanent tide (zero frequency).</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_sea_surface_cnescls_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-44632395-2f06-4fc0-8a55-fa51b29795c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44632395-2f06-4fc0-8a55-fa51b29795c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fdc1ee8-2e85-4148-863d-b7b9a0918910' class='xr-var-data-in' type='checkbox'><label for='data-3fdc1ee8-2e85-4148-863d-b7b9a0918910' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean sea surface height accuracy (CNES/CLS)</dd><dt><span>source :</span></dt><dd>CNES_CLS_2022</dd><dt><span>institution :</span></dt><dd>CNES/CLS</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Accuracy of the mean sea surface height (mean_sea_surface_cnescls).</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_sea_surface_dtu</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a7a98abd-39ee-474b-8b64-bab87456ba98' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7a98abd-39ee-474b-8b64-bab87456ba98' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8b3fe5b-e1f4-4a8d-9282-9d41b60302c4' class='xr-var-data-in' type='checkbox'><label for='data-f8b3fe5b-e1f4-4a8d-9282-9d41b60302c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean sea surface height (DTU)</dd><dt><span>source :</span></dt><dd>DTU18</dd><dt><span>institution :</span></dt><dd>DTU</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-1500000</dd><dt><span>valid_max :</span></dt><dd>1500000</dd><dt><span>comment :</span></dt><dd>Mean sea surface height above the reference ellipsoid. The value is referenced to the mean tide system, i.e. includes the permanent tide (zero frequency).</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_sea_surface_dtu_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b6b5fc87-6ece-4725-a859-741dcfaeed5d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b6b5fc87-6ece-4725-a859-741dcfaeed5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89f03866-4799-4e37-a857-da59d88bbed6' class='xr-var-data-in' type='checkbox'><label for='data-89f03866-4799-4e37-a857-da59d88bbed6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean sea surface height accuracy (DTU)</dd><dt><span>source :</span></dt><dd>DTU18</dd><dt><span>institution :</span></dt><dd>DTU</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Accuracy of the mean sea surface height (mean_sea_surface_dtu)</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geoid</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8025365f-ff7d-4d86-94f9-e45c867b4680' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8025365f-ff7d-4d86-94f9-e45c867b4680' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ed76314-b893-4791-83bc-15f82f516626' class='xr-var-data-in' type='checkbox'><label for='data-3ed76314-b893-4791-83bc-15f82f516626' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>geoid height</dd><dt><span>standard_name :</span></dt><dd>geoid_height_above_reference_ellipsoid</dd><dt><span>source :</span></dt><dd>EGM2008 (Pavlis et al., 2012)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-1500000</dd><dt><span>valid_max :</span></dt><dd>1500000</dd><dt><span>comment :</span></dt><dd>Geoid height above the reference ellipsoid with a correction to refer the value to the mean tide system, i.e. includes the permanent tide (zero frequency).</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_dynamic_topography</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-be23de73-8750-4e40-8282-e72a2aa18f39' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be23de73-8750-4e40-8282-e72a2aa18f39' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40ea36fa-e785-4ce1-abe3-017f6117d5ce' class='xr-var-data-in' type='checkbox'><label for='data-40ea36fa-e785-4ce1-abe3-017f6117d5ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean dynamic topography</dd><dt><span>source :</span></dt><dd>CNES_CLS_2022</dd><dt><span>institution :</span></dt><dd>CNES/CLS</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-30000</dd><dt><span>valid_max :</span></dt><dd>30000</dd><dt><span>comment :</span></dt><dd>Mean dynamic topography above the geoid.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_dynamic_topography_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9342ed67-e4b5-4814-9eb4-a64f0ff2861c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9342ed67-e4b5-4814-9eb4-a64f0ff2861c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6267e4d0-384e-48bd-bfd5-7446dd91baa0' class='xr-var-data-in' type='checkbox'><label for='data-6267e4d0-384e-48bd-bfd5-7446dd91baa0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean dynamic topography accuracy</dd><dt><span>source :</span></dt><dd>CNES_CLS_2022</dd><dt><span>institution :</span></dt><dd>CNES/CLS</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Accuracy of the mean dynamic topography.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>depth_or_elevation</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8c046b5a-72fd-482c-80da-edfbec677f98' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c046b5a-72fd-482c-80da-edfbec677f98' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d813f2bb-3df7-4a9c-bf26-312e39beb2c3' class='xr-var-data-in' type='checkbox'><label for='data-d813f2bb-3df7-4a9c-bf26-312e39beb2c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ocean depth or land elevation</dd><dt><span>source :</span></dt><dd>Altimeter Corrected Elevations, version 2</dd><dt><span>institution :</span></dt><dd>European Space Agency</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-12000</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Ocean depth or land elevation above reference ellipsoid. Ocean depth (bathymetry) is given as negative values, and land elevation positive values.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>solid_earth_tide</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b4e4b929-58bd-4a8c-bc91-897262944a04' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4e4b929-58bd-4a8c-bc91-897262944a04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e909582-767b-45a0-aef1-d01b343a52bc' class='xr-var-data-in' type='checkbox'><label for='data-9e909582-767b-45a0-aef1-d01b343a52bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>solid Earth tide height</dd><dt><span>source :</span></dt><dd>Cartwright and Taylor (1971) and Cartwright and Edden (1973)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-10000</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Solid-Earth (body) tide height. The zero-frequency permanent tide component is not included.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_tide_fes</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-782d9578-ef17-4d01-ac0c-7f29e3cb981c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-782d9578-ef17-4d01-ac0c-7f29e3cb981c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f4cfddc-a2b7-4d50-89de-bd338f22d52e' class='xr-var-data-in' type='checkbox'><label for='data-8f4cfddc-a2b7-4d50-89de-bd338f22d52e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>geocentric ocean tide height (FES)</dd><dt><span>source :</span></dt><dd>FES2014b (Carrere et al., 2016)</dd><dt><span>institution :</span></dt><dd>LEGOS/CNES</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-300000</dd><dt><span>valid_max :</span></dt><dd>300000</dd><dt><span>comment :</span></dt><dd>Geocentric ocean tide height. Includes the sum total of the ocean tide, the corresponding load tide (load_tide_fes) and equilibrium long-period ocean tide height (ocean_tide_eq).</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_tide_got</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-aee714b6-5885-46f7-9c56-bc3ed5b4e79c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aee714b6-5885-46f7-9c56-bc3ed5b4e79c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42d39525-b83c-429b-a9f7-ddda0c9a8a30' class='xr-var-data-in' type='checkbox'><label for='data-42d39525-b83c-429b-a9f7-ddda0c9a8a30' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>geocentric ocean tide height (GOT)</dd><dt><span>source :</span></dt><dd>GOT4.10c (Ray, 2013)</dd><dt><span>institution :</span></dt><dd>GSFC</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-300000</dd><dt><span>valid_max :</span></dt><dd>300000</dd><dt><span>comment :</span></dt><dd>Geocentric ocean tide height. Includes the sum total of the ocean tide, the corresponding load tide (load_tide_got) and equilibrium long-period ocean tide height (ocean_tide_eq).</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>load_tide_fes</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dd2508a3-b2a9-49aa-a2ba-3ba8b35a92d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd2508a3-b2a9-49aa-a2ba-3ba8b35a92d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95a6fc6a-a3ba-402c-bed3-1a753289d7e3' class='xr-var-data-in' type='checkbox'><label for='data-95a6fc6a-a3ba-402c-bed3-1a753289d7e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>geocentric load tide height (FES)</dd><dt><span>source :</span></dt><dd>FES2014b (Carrere et al., 2016)</dd><dt><span>institution :</span></dt><dd>LEGOS/CNES</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Geocentric load tide height. The effect of the ocean tide loading of the Earth&#x27;s crust. This value has already been added to the corresponding ocean tide height value (ocean_tide_fes).</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>load_tide_got</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8dbf8106-3794-49d8-a3c7-96111ca4ae50' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8dbf8106-3794-49d8-a3c7-96111ca4ae50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73004fa4-69e5-4c9e-b822-a0d42d2c4b11' class='xr-var-data-in' type='checkbox'><label for='data-73004fa4-69e5-4c9e-b822-a0d42d2c4b11' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>geocentric load tide height (GOT)</dd><dt><span>source :</span></dt><dd>GOT4.10c (Ray, 2013)</dd><dt><span>institution :</span></dt><dd>GSFC</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Geocentric load tide height. The effect of the ocean tide loading of the Earth&#x27;s crust. This value has already been added to the corresponding ocean tide height value (ocean_tide_got).</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_tide_eq</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8f567580-e1e2-4c67-8d44-df932e38523e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f567580-e1e2-4c67-8d44-df932e38523e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f154b29-1770-4c17-b883-e7fcd153f8ba' class='xr-var-data-in' type='checkbox'><label for='data-9f154b29-1770-4c17-b883-e7fcd153f8ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>equilibrium long-period ocean tide height</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Equilibrium long-period ocean tide height. This value has already been added to the corresponding ocean tide height values (ocean_tide_fes and ocean_tide_got).</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_tide_non_eq</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-768c154e-a14f-484f-ac9b-333e8ea3e4b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-768c154e-a14f-484f-ac9b-333e8ea3e4b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24c9e416-401e-41eb-8eaa-d30dbe2bd7e7' class='xr-var-data-in' type='checkbox'><label for='data-24c9e416-401e-41eb-8eaa-d30dbe2bd7e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>non-equilibrium long-period ocean tide height</dd><dt><span>source :</span></dt><dd>FES2014b (Carrere et al., 2016)</dd><dt><span>institution :</span></dt><dd>LEGOS/CNES</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Non-equilibrium long-period ocean tide height. This value is reported as a relative displacement with repsect to ocean_tide_eq. This value can be added to ocean_tide_eq, ocean_tide_fes, or ocean_tide_got, or subtracted from ssha_karin and ssha_karin_2, to account for the total long-period ocean tides from equilibrium and non-equilibrium contributions.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>internal_tide_hret</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-df781a62-79f5-4a86-a7d7-b4b9b1d5b41c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df781a62-79f5-4a86-a7d7-b4b9b1d5b41c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-848b0d37-1bb3-4208-9750-146442529f0a' class='xr-var-data-in' type='checkbox'><label for='data-848b0d37-1bb3-4208-9750-146442529f0a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>coherent internal tide (HRET)</dd><dt><span>source :</span></dt><dd>Zaron (2019)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Coherent internal ocean tide. This value is subtracted from the ssh_karin and ssh_karin_2 to compute ssha_karin and ssha_karin_2, respectively.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>internal_tide_sol2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-31e1cb52-39eb-4888-8d95-addc143e69d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31e1cb52-39eb-4888-8d95-addc143e69d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dee8fe0c-6160-4619-9165-1f0ec8249f51' class='xr-var-data-in' type='checkbox'><label for='data-dee8fe0c-6160-4619-9165-1f0ec8249f51' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>coherent internal tide (Model 2)</dd><dt><span>source :</span></dt><dd>None</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Coherent internal tide. This value is currently always defaulted.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pole_tide</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8c91d037-85a4-427d-b57e-cf476ba97e8b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c91d037-85a4-427d-b57e-cf476ba97e8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52c340ab-288b-4f0a-bc2b-9912f9e1f2ad' class='xr-var-data-in' type='checkbox'><label for='data-52c340ab-288b-4f0a-bc2b-9912f9e1f2ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>geocentric pole tide height</dd><dt><span>source :</span></dt><dd>Wahr (1985) and Desai et al. (2015)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Geocentric pole tide height.  The total of the contribution from the solid-Earth (body) pole tide height, the ocean pole tide height, and the load pole tide height (i.e., the effect of the ocean pole tide loading of the Earth&#x27;s crust).</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dac</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b3f122a8-992b-4dd1-a9e7-99525b85338a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3f122a8-992b-4dd1-a9e7-99525b85338a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cddef00-8bf5-4baf-bb8a-ca6ed90bd508' class='xr-var-data-in' type='checkbox'><label for='data-9cddef00-8bf5-4baf-bb8a-ca6ed90bd508' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>dynamic atmospheric correction</dd><dt><span>source :</span></dt><dd>MOG2D</dd><dt><span>institution :</span></dt><dd>LEGOS/CNES/CLS</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-12000</dd><dt><span>valid_max :</span></dt><dd>12000</dd><dt><span>comment :</span></dt><dd>Model estimate of the effect on sea surface topography due to high frequency air pressure and wind effects and the low-frequency height from inverted barometer effect (inv_bar_cor). This value is subtracted from the ssh_karin and ssh_karin_2 to compute ssha_karin and ssha_karin_2, respectively. Use only one of inv_bar_cor and dac.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>inv_bar_cor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bdf995bb-3873-49a9-8e24-b85c0dc774a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bdf995bb-3873-49a9-8e24-b85c0dc774a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4dbf9b23-0450-42cb-9542-40d65c112e2e' class='xr-var-data-in' type='checkbox'><label for='data-4dbf9b23-0450-42cb-9542-40d65c112e2e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>static inverse barometer effect on sea surface height</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Estimate of static effect of atmospheric pressure on sea surface height. Above average pressure lowers sea surface height. Computed by interpolating ECMWF pressure fields in space and time. The value is included in dac. To apply, add dac to ssha_karin and ssha_karin_2 and subtract inv_bar_cor.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>model_dry_tropo_cor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cb851b89-7062-46ae-b5ac-8cb6ed52afcb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb851b89-7062-46ae-b5ac-8cb6ed52afcb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90c00d61-79ee-4b23-8baf-f22c96b23cb4' class='xr-var-data-in' type='checkbox'><label for='data-90c00d61-79ee-4b23-8baf-f22c96b23cb4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>dry troposphere vertical correction</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>-30000</dd><dt><span>valid_max :</span></dt><dd>-15000</dd><dt><span>comment :</span></dt><dd>Equivalent vertical correction due to dry troposphere delay. The reported sea surface height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>model_wet_tropo_cor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-459a8987-93e0-4b66-8d52-b0bc35565965' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-459a8987-93e0-4b66-8d52-b0bc35565965' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-718efeeb-5971-4bef-9a7d-eae16a6e9e37' class='xr-var-data-in' type='checkbox'><label for='data-718efeeb-5971-4bef-9a7d-eae16a6e9e37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wet troposphere vertical correction from weather model data</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>-10000</dd><dt><span>valid_max :</span></dt><dd>0</dd><dt><span>comment :</span></dt><dd>Equivalent vertical correction due to wet troposphere delay from weather model data. The reported pixel height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height (ssh_karin_2) results in the uncorrected sea surface height.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_wet_tropo_cor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f98acc31-660a-42c2-9bb6-945c1e019264' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f98acc31-660a-42c2-9bb6-945c1e019264' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c657bee9-d094-42d9-9c19-677eba195fe0' class='xr-var-data-in' type='checkbox'><label for='data-c657bee9-d094-42d9-9c19-677eba195fe0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wet troposphere vertical correction from radiometer data</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_qual</dd><dt><span>valid_min :</span></dt><dd>-10000</dd><dt><span>valid_max :</span></dt><dd>0</dd><dt><span>comment :</span></dt><dd>Equivalent vertical correction due to wet troposphere delay from radiometer measurements. The reported pixel height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height (ssh_karin) results in the uncorrected sea surface height.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>iono_cor_gim_ka</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-afcb2c29-05ad-4ffb-9aba-781a7150b97d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-afcb2c29-05ad-4ffb-9aba-781a7150b97d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5de71ef0-3b6e-4162-8d20-112a8aca34fe' class='xr-var-data-in' type='checkbox'><label for='data-5de71ef0-3b6e-4162-8d20-112a8aca34fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ionosphere vertical correction</dd><dt><span>source :</span></dt><dd>Global Ionosphere Maps</dd><dt><span>institution :</span></dt><dd>JPL</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>-5000</dd><dt><span>valid_max :</span></dt><dd>0</dd><dt><span>comment :</span></dt><dd>Equivalent vertical correction due to ionosphere delay. The reported sea surface height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height_cor_xover</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0dad9918-b643-40fb-aa68-86a188adfbfb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0dad9918-b643-40fb-aa68-86a188adfbfb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c864dac4-f3a2-4fb9-8488-1cefe955c5ef' class='xr-var-data-in' type='checkbox'><label for='data-c864dac4-f3a2-4fb9-8488-1cefe955c5ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>height correction from crossover calibration</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>height_cor_xover_qual</dd><dt><span>valid_min :</span></dt><dd>-100000</dd><dt><span>valid_max :</span></dt><dd>100000</dd><dt><span>comment :</span></dt><dd>Height correction from crossover calibration. To apply this correction the value of height_cor_xover should be added to the value of ssh_karin, ssh_karin_2, ssha_karin, and ssha_karin_2.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height_cor_xover_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-74534e40-a85e-4a14-ad8f-ca58e17a9e51' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74534e40-a85e-4a14-ad8f-ca58e17a9e51' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0699109e-6aa9-4995-aeaa-b7ee80d8f039' class='xr-var-data-in' type='checkbox'><label for='data-0699109e-6aa9-4995-aeaa-b7ee80d8f039' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for height correction from crossover calibration</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>good suspect bad</dd><dt><span>flag_values :</span></dt><dd>[0 1 2]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2</dd><dt><span>comment :</span></dt><dd>Flag indicating the quality of the height correction from crossover calibration.  Values of 0, 1, and 2 indicate that the correction is good, suspect, and bad, respectively.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rain_rate</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-60951072-d6ce-46e8-97d9-343fa3355404' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60951072-d6ce-46e8-97d9-343fa3355404' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e2d4408-6b73-41d3-91a6-531e0d9fa5fd' class='xr-var-data-in' type='checkbox'><label for='data-6e2d4408-6b73-41d3-91a6-531e0d9fa5fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>rain rate from weather model</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>mm/hr</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>200</dd><dt><span>comment :</span></dt><dd>Rain rate from weather model.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ice_conc</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c172bbaf-7a13-424b-92d3-0a7352bd13e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c172bbaf-7a13-424b-92d3-0a7352bd13e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1ab435c-86e8-4df5-8a02-971985132954' class='xr-var-data-in' type='checkbox'><label for='data-f1ab435c-86e8-4df5-8a02-971985132954' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>concentration of sea ice</dd><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction</dd><dt><span>source :</span></dt><dd>EUMETSAT Ocean and Sea Ice Satellite Applications Facility</dd><dt><span>institution :</span></dt><dd>EUMETSAT</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Concentration of sea ice from model.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_state_bias_cor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bf830600-021e-4b6a-a398-ffd0134e7933' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf830600-021e-4b6a-a398-ffd0134e7933' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82ec5d89-e160-4aab-bc0e-e8a70065a532' class='xr-var-data-in' type='checkbox'><label for='data-82ec5d89-e160-4aab-bc0e-e8a70065a532' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea state bias correction</dd><dt><span>source :</span></dt><dd>CNES</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-6000</dd><dt><span>valid_max :</span></dt><dd>0</dd><dt><span>comment :</span></dt><dd>Sea state bias correction used to compute ssh_karin. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height. The wind_speed_karin value is used to compute this quantity.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_state_bias_cor_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4a75dcd1-73ed-4787-9d61-4f439c4a45e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a75dcd1-73ed-4787-9d61-4f439c4a45e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9aface82-3533-4a04-b170-dd592ac2f28a' class='xr-var-data-in' type='checkbox'><label for='data-9aface82-3533-4a04-b170-dd592ac2f28a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea state bias correction</dd><dt><span>source :</span></dt><dd>CNES</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-6000</dd><dt><span>valid_max :</span></dt><dd>0</dd><dt><span>comment :</span></dt><dd>Sea state bias correction used to compute ssh_karin_2. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height. The wind_speed_karin_2 value is used to compute this quantity.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_ssb_cor_source</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bd8de2e4-7a8b-4e7a-ad08-fb2643fccfc7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd8de2e4-7a8b-4e7a-ad08-fb2643fccfc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5d984f1-ac19-43a3-be86-38a02d8f4c3f' class='xr-var-data-in' type='checkbox'><label for='data-f5d984f1-ac19-43a3-be86-38a02d8f4c3f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>source flag for significant wave height information used to compute sea state bias correction</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>nadir_altimeter karin model</dd><dt><span>flag_masks :</span></dt><dd>[1 2 4]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>7</dd><dt><span>comment :</span></dt><dd>Bit flag that indicates the source of significant wave height information that was used to compute the sea state bias correction in sea_state_bias_cor.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_ssb_cor_source_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7a7b70be-e9ac-4f28-9657-eeca761dad8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a7b70be-e9ac-4f28-9657-eeca761dad8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2dc9d1c2-ca10-47c3-88a1-98d047c37ca9' class='xr-var-data-in' type='checkbox'><label for='data-2dc9d1c2-ca10-47c3-88a1-98d047c37ca9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>source flag for significant wave height information used to compute sea state bias correction</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>nadir_altimeter karin model</dd><dt><span>flag_masks :</span></dt><dd>[1 2 4]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>7</dd><dt><span>comment :</span></dt><dd>Bit flag that indicates the source of significant wave height information that was used to compute the sea state bias correction in sea_state_bias_cor_2.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_ssb_cor_source</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6f7d836d-8e92-4fb5-bc04-56bbb6199731' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f7d836d-8e92-4fb5-bc04-56bbb6199731' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-16f58a4d-24d5-4210-af83-1440c3cbbea7' class='xr-var-data-in' type='checkbox'><label for='data-16f58a4d-24d5-4210-af83-1440c3cbbea7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>source flag for wind speed information used to compute sea state bias correction</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>nadir_altimeter karin model</dd><dt><span>flag_masks :</span></dt><dd>[1 2 4]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>7</dd><dt><span>comment :</span></dt><dd>Bit flag that indicates the source of wind speed information that was used to compute the sea state bias correction in sea_state_bias_cor.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_ssb_cor_source_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-73e2cd09-8dce-4e4c-95b8-76490547ef15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73e2cd09-8dce-4e4c-95b8-76490547ef15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e24740b9-47db-421c-9cbf-dc9e13b97260' class='xr-var-data-in' type='checkbox'><label for='data-e24740b9-47db-421c-9cbf-dc9e13b97260' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>source flag for wind speed information used to compute sea state bias correction</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>nadir_altimeter karin model</dd><dt><span>flag_masks :</span></dt><dd>[1 2 4]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>7</dd><dt><span>comment :</span></dt><dd>Bit flag that indicates the source of wind speed information that was used to compute the sea state bias correction in sea_state_bias_cor_2.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>volumetric_correlation</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bb9a14ea-465d-4d61-a322-3b7c810ab50e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb9a14ea-465d-4d61-a322-3b7c810ab50e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a56a2716-16e9-49d9-995a-503870f0b48e' class='xr-var-data-in' type='checkbox'><label for='data-a56a2716-16e9-49d9-995a-503870f0b48e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>volumetric correlation</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>20000</dd><dt><span>comment :</span></dt><dd>Volumetric correlation.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>volumetric_correlation_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d2d536ef-0519-4c10-9803-0848aabd9098' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2d536ef-0519-4c10-9803-0848aabd9098' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5af9fd7a-2714-494d-b6a9-6927509f83f7' class='xr-var-data-in' type='checkbox'><label for='data-5af9fd7a-2714-494d-b6a9-6927509f83f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>volumetric correlation standard deviation</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>quality_flag :</span></dt><dd>ssh_karin_2_qual</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>1-sigma uncertainty computed analytically using observed correlation and effective number of looks. Two-sided error bars (volumetric_correlation-volumetric_correlation_uncert, volumetric_correlation+volumetric_correlation_uncert) include 68% of probability distribution.</dd></dl></div><div class='xr-var-data'><pre>[43194 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-783106f2-7844-4a45-bdfa-5ff70803478d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-783106f2-7844-4a45-bdfa-5ff70803478d' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-4bffb3d5-6109-4d2a-a728-e4e09c1c0459' class='xr-section-summary-in' type='checkbox'  ><label for='section-4bffb3d5-6109-4d2a-a728-e4e09c1c0459' class='xr-section-summary' >Attributes: <span>(62)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>title :</span></dt><dd>Level 2 Low Rate Sea Surface Height Data Product - Expert SSH with Wind and Wave</dd><dt><span>institution :</span></dt><dd>CNES</dd><dt><span>source :</span></dt><dd>Ka-band radar interferometer</dd><dt><span>history :</span></dt><dd>2023-11-25T21:23:38Z : Creation</dd><dt><span>platform :</span></dt><dd>SWOT</dd><dt><span>reference_document :</span></dt><dd>D-56407_SWOT_Product_Description_L2_LR_SSH</dd><dt><span>contact :</span></dt><dd>podaac@jpl.nasa.gov</dd><dt><span>cycle_number :</span></dt><dd>7</dd><dt><span>pass_number :</span></dt><dd>13</dd><dt><span>equator_time :</span></dt><dd>2023-11-23T20:47:23.807000Z</dd><dt><span>short_name :</span></dt><dd>L2_LR_SSH</dd><dt><span>product_file_id :</span></dt><dd>Expert</dd><dt><span>crid :</span></dt><dd>PIC0</dd><dt><span>product_version :</span></dt><dd>01</dd><dt><span>pge_name :</span></dt><dd>PGE_L2_LR_SSH</dd><dt><span>pge_version :</span></dt><dd>5.0.2</dd><dt><span>time_coverage_start :</span></dt><dd>2023-11-23T20:21:37.683390</dd><dt><span>time_coverage_end :</span></dt><dd>2023-11-23T21:13:05.888030</dd><dt><span>geospatial_lon_min :</span></dt><dd>121.107237</dd><dt><span>geospatial_lon_max :</span></dt><dd>288.551771</dd><dt><span>geospatial_lat_min :</span></dt><dd>-78.271942</dd><dt><span>geospatial_lat_max :</span></dt><dd>78.27206799999999</dd><dt><span>left_first_longitude :</span></dt><dd>121.12660899999999</dd><dt><span>left_first_latitude :</span></dt><dd>-77.05370099999999</dd><dt><span>left_last_longitude :</span></dt><dd>288.551771</dd><dt><span>left_last_latitude :</span></dt><dd>78.27200599999999</dd><dt><span>right_first_longitude :</span></dt><dd>121.107237</dd><dt><span>right_first_latitude :</span></dt><dd>-78.27186999999999</dd><dt><span>right_last_longitude :</span></dt><dd>288.53394399999996</dd><dt><span>right_last_latitude :</span></dt><dd>77.053837</dd><dt><span>wavelength :</span></dt><dd>0.008385803020979021</dd><dt><span>transmit_antenna :</span></dt><dd>minus_y</dd><dt><span>xref_l1b_lr_intf_file :</span></dt><dd>SWOT_L1B_LR_INTF_007_013_20231123T202134_20231123T211309_PIC0_01.nc</dd><dt><span>xref_l2_nalt_gdr_files :</span></dt><dd>SWOT_IPN_2PfP007_012_20231123_193011_20231123_202138.nc, SWOT_IPN_2PfP007_013_20231123_202138_20231123_211305.nc, SWOT_IPN_2PfP007_014_20231123_211305_20231123_220431.nc</dd><dt><span>xref_l2_rad_gdr_files :</span></dt><dd>SWOT_IPRAD_2PaP007_012_20231123_193007_20231123_202142_PIC0_01.nc, SWOT_IPRAD_2PaP007_013_20231123_202134_20231123_211309_PIC0_01.nc, SWOT_IPRAD_2PaP007_014_20231123_211301_20231123_220435_PIC0_01.nc</dd><dt><span>xref_int_lr_xover_cal_file :</span></dt><dd>SWOT_INT_LR_XOverCal_20231122T234644_20231123T234736_PIC0_02.nc</dd><dt><span>xref_statickarincal_files :</span></dt><dd>SWOT_StaticKaRInCalAdjustableParam_20000101T000000_20991231T235959_20230823T210000_v106.nc</dd><dt><span>xref_param_l2_lr_precalssh_file :</span></dt><dd>SWOT_Param_L2_LR_PreCalSSH_20000101T000000_20991231T235959_20230815T120500_v301.nc</dd><dt><span>xref_orbit_ephemeris_file :</span></dt><dd>SWOT_POR_AXVCNE20231124_105318_20231122_225923_20231124_005923.nc</dd><dt><span>xref_reforbittrack_files :</span></dt><dd>SWOT_RefOrbitTrack125mPass1_Nom_20000101T000000_21000101T000000_20200617T193054_v101.txt, SWOT_RefOrbitTrack125mPass2_Nom_20000101T000000_21000101T000000_20200617T193054_v101.txt</dd><dt><span>xref_meteorological_sealevel_pressure_files :</span></dt><dd>SMM_PMA_AXVCNE20231124_030722_20231123_180000_20231123_180000, SMM_PMA_AXVCNE20231124_051537_20231124_000000_20231124_000000</dd><dt><span>xref_meteorological_wettroposphere_files :</span></dt><dd>SMM_WEA_AXVCNE20231124_030722_20231123_180000_20231123_180000, SMM_WEA_AXVCNE20231124_051537_20231124_000000_20231124_000000</dd><dt><span>xref_meteorological_wind_files :</span></dt><dd>SMM_UWA_AXVCNE20231124_030722_20231123_180000_20231123_180000, SMM_VWA_AXVCNE20231124_030722_20231123_180000_20231123_180000, SMM_VWA_AXVCNE20231124_051537_20231124_000000_20231124_000000, SMM_UWA_AXVCNE20231124_051537_20231124_000000_20231124_000000</dd><dt><span>xref_meteorological_surface_pressure_files :</span></dt><dd>SMM_PSA_AXVCNE20231124_054040_20231123_180000_20231123_180000, SMM_PSA_AXVCNE20231124_054040_20231124_000000_20231124_000000</dd><dt><span>xref_meteorological_temperature_files :</span></dt><dd>SMM_T2M_AXPCNE20231124_054040_20231123_180000_20231123_180000.grb, SMM_T2M_AXPCNE20231124_054040_20231124_000000_20231124_000000.grb</dd><dt><span>xref_meteorological_water_vapor_files :</span></dt><dd>SMM_CWV_AXPCNE20231124_054040_20231123_180000_20231123_180000.grb, SMM_CWV_AXPCNE20231124_054040_20231124_000000_20231124_000000.grb</dd><dt><span>xref_meteorological_cloud_liquid_water_files :</span></dt><dd>SMM_CLW_AXPCNE20231124_054040_20231123_180000_20231123_180000.grb, SMM_CLW_AXPCNE20231124_054040_20231124_000000_20231124_000000.grb</dd><dt><span>xref_model_significant_wave_height_files :</span></dt><dd>SMM_SWH_AXPCNE20231124_054040_20231123_180000_20231123_180000.grb, SMM_SWH_AXPCNE20231124_054040_20231124_000000_20231124_000000.grb</dd><dt><span>xref_gim_files :</span></dt><dd>JPLQ3270.23I, JPLQ3280.23I</dd><dt><span>xref_pole_location_file :</span></dt><dd>SMM_PO1_AXXCNE20231125_020000_19900101_000000_20240523_000000</dd><dt><span>xref_dac_files :</span></dt><dd>SMM_MOG_AXPCNE20231124_074502_20231123_180000_20231123_180000, SMM_MOG_AXPCNE20231124_074502_20231124_000000_20231124_000000</dd><dt><span>xref_precipitation_files :</span></dt><dd>SMM_CRR_AXFCNE20231123_185541_20231123_180000_20231123_180000.grb, SMM_LSR_AXFCNE20231123_185541_20231123_180000_20231123_180000.grb, SMM_CRR_AXFCNE20231124_065600_20231124_000000_20231124_000000.grb, SMM_LSR_AXFCNE20231124_065600_20231124_000000_20231124_000000.grb</dd><dt><span>xref_sea_ice_mask_files :</span></dt><dd>SMM_ICN_AXFCNE20231124_051512_20231123_000000_20231123_235959.nc, SMM_ICS_AXFCNE20231124_052007_20231123_000000_20231123_235959.nc</dd><dt><span>xref_wave_model_files :</span></dt><dd>SMM_WMA_AXPCNE20231124_072014_20231123_030000_20231124_000000.grb</dd><dt><span>xref_geco_database_version :</span></dt><dd>v102</dd><dt><span>ellipsoid_semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>ellipsoid_flattening :</span></dt><dd>0.0033528106647474805</dd><dt><span>good_ocean_data_percent :</span></dt><dd>65.76645448005515</dd><dt><span>ssha_variance :</span></dt><dd>0.11614050683132866</dd><dt><span>references :</span></dt><dd>V1.2.1</dd><dt><span>equator_longitude :</span></dt><dd>-155.17</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 25MB\n",
       "Dimensions:                                (num_lines: 626, num_pixels: 69,\n",
       "                                            num_sides: 2)\n",
       "Coordinates:\n",
       "    latitude_nadir                         (num_lines) float64 5kB 33.01 ... ...\n",
       "    longitude_nadir                        (num_lines) float64 5kB 210.6 ... ...\n",
       "    latitude                               (num_lines, num_pixels) float64 346kB ...\n",
       "    longitude                              (num_lines, num_pixels) float64 346kB ...\n",
       "Dimensions without coordinates: num_lines, num_pixels, num_sides\n",
       "Data variables: (12/98)\n",
       "    time                                   (num_lines) datetime64[ns] 5kB ...\n",
       "    time_tai                               (num_lines) datetime64[ns] 5kB ...\n",
       "    ssh_karin                              (num_lines, num_pixels) float64 346kB ...\n",
       "    ssh_karin_qual                         (num_lines, num_pixels) float64 346kB ...\n",
       "    ssh_karin_uncert                       (num_lines, num_pixels) float64 346kB ...\n",
       "    ssha_karin                             (num_lines, num_pixels) float64 346kB ...\n",
       "    ...                                     ...\n",
       "    swh_ssb_cor_source                     (num_lines, num_pixels) float32 173kB ...\n",
       "    swh_ssb_cor_source_2                   (num_lines, num_pixels) float32 173kB ...\n",
       "    wind_speed_ssb_cor_source              (num_lines, num_pixels) float32 173kB ...\n",
       "    wind_speed_ssb_cor_source_2            (num_lines, num_pixels) float32 173kB ...\n",
       "    volumetric_correlation                 (num_lines, num_pixels) float64 346kB ...\n",
       "    volumetric_correlation_uncert          (num_lines, num_pixels) float64 346kB ...\n",
       "Attributes: (12/62)\n",
       "    Conventions:                                   CF-1.7\n",
       "    title:                                         Level 2 Low Rate Sea Surfa...\n",
       "    institution:                                   CNES\n",
       "    source:                                        Ka-band radar interferometer\n",
       "    history:                                       2023-11-25T21:23:38Z : Cre...\n",
       "    platform:                                      SWOT\n",
       "    ...                                            ...\n",
       "    ellipsoid_semi_major_axis:                     6378137.0\n",
       "    ellipsoid_flattening:                          0.0033528106647474805\n",
       "    good_ocean_data_percent:                       65.76645448005515\n",
       "    ssha_variance:                                 0.11614050683132866\n",
       "    references:                                    V1.2.1\n",
       "    equator_longitude:                             -155.17"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data=swot.SSH_L2() #define the SSH_L2 class\n",
    "\n",
    "s3sys=swot.init_S3FileSystem() #Start the S3FileSystem instance\n",
    "\n",
    "data.load_data(data_links[0][0],s3sys,lat_bounds) #pass the s3sys and S3 link to the load_data function in the SSH_L2 class\n",
    "display(data.Expert) #Show the data array\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot the original data and the bias-removed data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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jf8PDwzz1qU8FVKzu0UcfzWmnncZb3vKWhjzevqJWq/GCF7yAn/3sZ3zve9/jzDPP7Om62MDesWPHnElz+/btDA0NzTrWqx7/4OAgv/71r+cc37lzZ0/X98qe/s00moMNPQc/sefgmE5zY3yskyMk5mtf+xoXX3wxH/jAB2YdHxsbo6+vr/G7ZVm89a1v5a1vfStTU1P85Cc/4R/+4R8499xz2bZtG6lUqmP/w8PDc8Qf2hkcHOT2229HSjnrGbF7926CINij50j7ufja//mf/2HNmjVdrxseHgZYcKzd6PU+8d9ivr+XZvHRnv8lpFtBkrvvvhtQnmBQE3GxWOyp7Z5y9913c9ttt/GiF72In/3sZ3NecWLWfJ6Q+Vi7di033XQTQ0NDPOtZz+KXv/xl45wQAtd1Z7X//e9/37MG/TOe8Qwuvvhirr322n2qWx97m37605/yrW99a48eyn/+538OqAdIK5s3b+buu+/e4wdYzGmnncbMzAw//vGPZx3/5je/uVf9dePx/s00mgMJPQcfenNwzB/+8Ad+97vfzTr2n//5n2Sz2UZCaic6fWfXXnstjz32WNdr+vr6uOCCC7jkkkuYmJiYN2H82c9+Nvfdd9+8yaxnnnkmxWKR7373u7OOxwo4e/scATj33HOxLIsHH3yw485VvPjbuHEj69ev58tf/vK8ak3xd9W+k9TrfTZt2sSKFSv4xje+gZSycf3DDz/MrbfeutefUzM/2vO/hJx77rkcfvjhPPe5z+Woo44iiiLuvPNO/vmf/5lMJsOll14KwL333su5557LS17yEk477TRWrFjB5OQk1157LV/4whc4/fTTZ3lz9oTY4/T2t7+dpz3taXPOz8zM8L//+7987Wtfa4xnT1mzZk3D+/SsZz2LH/3oRzzjGc/gOc95Du973/t4z3vew2mnnca9997LVVddxbp16wiCoKe+3/e+93HNNdfwrne9i5/85Cd7Nb495YILLuDHP/4x73jHOxgcHORXv/pV41wul+OYY47peu2mTZt4/etfz7/8y79gGAbPfvaz2bp1K+9617tYtWoVb3nLW/ZqTK985Sv5+Mc/zite8Qre//73c+SRR/LjH/+4UXxosaQIF+NvptEcKOg5+NCbg2NWrlzJ8573PK688kpWrFjB1772NW688UY+9KEPdfXKg5oDv/rVr3LUUUdx/PHHc8cdd/CRj3xkzk7uc5/7XI499lie+tSnMjw8zMMPP8wnPvEJ1qxZw4YNG7r2f9lll3HNNdfw/Oc/n7//+7/naU97GpVKhZ///Oc85znP4YwzzuDiiy/mM5/5DK985SvZunUrxx13HL/4xS/4wAc+wHnnncdZZ53Vw7fYmbVr13LVVVfxjne8g4ceeohnPetZ9Pf3s2vXLn7961+TTqcbylGf+cxneO5zn8vJJ5/MW97yFlavXs0jjzzC9ddfz9e//nUAjjvuOAA++clP8spXvhLbttm0aVPP9zEMg/e973287nWv44UvfCF/9Vd/xdTUFFdeeaUO+1lK9nfSwROZa665Rr7sZS+TGzZskJlMRtq2LVevXi0vuugi+cc//rHRbnJyUr7//e+Xf/7nfy4PO+ww6TiOTKfT8oQTTpDvf//7ZxXs2JMCM57nyZGRkXkVCYIgkIcffrg87rjjev5c3QqoPPLII3L9+vUynU7Ln//857JWq8m//du/lYcddphMJBLyKU95ivzud7/bsXAHHQrMxPzd3/2dBOTPf/5zKWX3ZLN0Oj3n2k7JrwvBPAoerUm43QjDUH7oQx+SGzdulLZty6GhIfmKV7xCbtu2bVa70047TT7pSU/q2Ed7wq+U6vv9i7/4C5nJZGQ2m5UvetGL5I9+9KM5SV3dEn47/c3a77OnfzOd8Ks5kNFz8KE5B8ffz//8z//IJz3pSdJxHLl27Vr5sY99bFa7Tgm/k5OT8rWvfa0cGRmRqVRK/tmf/Zm85ZZb5syV//zP/yxPPfVUOTQ0JB3HkatXr5avfe1r5datWxcc3+TkpLz00kvl6tWrpW3bcmRkRJ5//vnynnvuabQZHx+Xf/3Xfy1XrFghLcuSa9askVdccYWsVqtzvqtOf7eFCrF997vflWeccYbM5XLSdV25Zs0aecEFF8if/OQns9rddttt8tnPfrbM5/PSdV25fv36WapHUqoicytXrpSGYUhA/uxnP9vj+3zpS1+SGzZskI7jyI0bN8ovf/nLusjXEiKkbNln0Wg0BxUf+MAHeOc738kjjzyy14lZGo1Go9FoDh102I9Gc5Dw6U9/GoCjjjoK3/f56U9/yqc+9Sle8YpXaMNfo9FoNBpNT2jjX9NgoRhQwzAWLbZ8fxCGIfNtdAkhME1zH45oz0ilUnz84x9n69at1Go1Vq9ezeWXX8473/nO/T00jUazCOg5+MCegzWaJwo67EfTYCHZyVe+8pV89atf3TeDWQJOP/10fv7zn3c9v2bNmnlVGjQajWYp0XOwnoM1mn2B9vxrGmzevHne8+3awgcbn//85+fVq2+Xd9NoNJp9iZ6D9Rys0ewLtOdfo9FoNBqNRqM5RNCe/x6oVqt4nre/h6HRPGFwHIdEIrG/h6HRdETP+RrN4qPn/QMHbfwvQLVaZcXqNUyN7t7fQ9FonjAsX76cLVu26AeB5oBDz/kazdKg5/0DB238L4DneUyN7uYLN/0fyWQK88E7CdefAAebIkEY6rHvI9LCZp0xiBAghM8f/nADxx9/DqZpIwQYBo2f0PwZvxcCpJT4UUQ1CpnxPaY8j2IQUI2iffdBluh7rxRneP3pT8XzPP0Q0Bxw6Dn/AOBgHjuQqpSobbuHcwC7VlOTeqmkPksYQjIJnge1GgDSNMG2idIZSvk806ks04kM47bLjGERMX8i+KKi5/1DAm3890gykyWVTGGmUoSZ7ME3IYWhHvs+YoMzQEaoxLUo8kmlUmSzOSzLBtRzAJShHxv7nX6Pj8UIAZGUVIKAUhgwVfOYqHmUgpBwKVJ3DrLvXaNZTPScvx85mMcOnDC9k7tSKXKVCnY+D5mMOjExAdUqpFLK+I8nfMsCx4HBQfqTSQ53XUhaYBtE01N4qRQzyTSTdoIxaTIZQi1cIkfQQf7da3pDG/8azSKTNR2MLo6adiW/2GZX3n6IotkLgNbzAKYhyLo2OWGzIp1ESokQEBJR9AKmaj5TvsdY2cfbl7sEGo1GowEpWTa+m7scW3n4XVe9HEf9nJqCXA7KZWVcR1Fzovd91QbUuVoNwzJJuA6JlMtwOsX6ZBoRBkTTU5QKJcaS/Ux6HpOeT8m00bO+phe08a/RLCJ5w8UQYo4RD833Khyoex+t17YvDub2JTAMsAwT1zIZzrhqhyCSSCIqfsBUxWNn2ePRkk5g1Gg0mqUkVynheDVwbJiZgWJRhfysXAn5PKTTKtynUoH+fggCtUgIQ/VKp+GII2DHDrUjEB+PHwCmiSjNYJVKJJJZVrgO68ceRq5dS2RZ3DxWYdLXSwDN/GjjX6NZRJbbaWCusR7TzfDvtEiQcvb79sVEjJRzFwmGAQYC2zbJGQ6r0w4GRR6pLwAEsCJp40UR016ErxV/NRqN5nFz9KMPgK1CPHEcZbjbNkxOwvQ09PWpMKBqVU3Ypqna2bZ677oqJGj5chgdVb8LAYUC0rTATSLDCCwLI/KJQh8cB2HbmMAyx9DGv2ZBtPGv0SwiGcMB5obtxO/bjfyFfm993zDqjdnGfmtYZhg2z0uYlSZmtHR4XF+SI3MucZmPQEpmvJDJWsCEFzLmhVTCvfgCNBqN5hBm2fhupGkooz2KlFd/YEB5+MtltRtg2+p3z1OTdRzzH0XqnG1DIgGDgypPYGICwhBRrWKUSkjfB6+GPTiIYYREjoNR73d7xYceEoT7TTgmAWG5wpjpMopFMYjQ0/6hgTb+NZpFos9wQQpie7/VmG8N4+nk/Y+PtYYGtfcRX9+6iGj/2dqfiv9RyWRSSra1hP2szbr1dupCGxhwTAYck/UAUlKp1bjhfnhKzmIiMpjwImZCid4j0Gg0mrkMRj5Wfx/+2Jg6YBjKO2Pbzck73hWIPf8qTnN2u/Fxdcyy1CIgl1PXRBGiMI2IIuXpmZzEzOfVImJ8HC8MKSSX9TTWkxKSlF8DW7ByKIes1WD3OOVKjZ8AmxzJtF9jDItAdNl21hy0aONfo1kkllnpOXH67Tm3nTz9HQ33Oq2LhfZwoE7hQY1jkUQIqRKCo4ipWtBQBBpJWFhGy0Bb44ZabmzVOzssYbG2vr0go4hKKJkOIiYDyagfMR1CoFcEGo3mEGdDeQqOPFLF9k9PK+9/KqXem2YzwbdUUoZ97PUPQ2XAZ7NqB6BaVecqFZUfYJqqXTzBx8ekhHihEYZsc9I9jTMtI1LVSnMhIiXC96FSwanfY2OtgF2pIIWBLyUlKZi0Eoy5KSYsh7LUi4GDGW38azSLRMZwGqE5MFvLv1faQ4Na+5rP4G8uOGTjGFGkPETAA4VKo8+NucTcC6G5UpnHwyOAlClImSYr6qIUMorwJMwEERN+xHgA4wHo9GKNRnPIICUjQRUmasrYBxXy4zjKiK+0GNtCqLj/sCXIplhURn1/vzL0o0iFCEmpFhDptHplMqp/w1DHSyWYnESaJve4uZ6G+iTTU/2Pj6t+EolG7oEMAtUoCEAIBBInCnGiiH7X4og+B9JpwiCkNDrKtB+psCFhURYWkd4hOCjQxr9Gswj0GwmEEHPCclrpFqLTTnty70KhQK3HRH2ybk0QiCLJtmIz0XfIMZo36uL1nzPwbhnMqHu6MsI1Ycg0GosIX0IxkkwFMBpIJiJBWe8QaDSaJyBDtRJWVE+6cpxmPD+onYDYWx9Lecae/TiRK5lUxnyxqM47jjru+8oQn5pS58pllUNQKKhzAKkUlSCkJnrT5V8eVNUCI951mJhoLgCSSTW8XE59hnJ5tmPIUPkM5q5HyFUr5AyDVVGILJWQpknVdpl2k4ybLuPCZCIEuS+LlGl6Qhv/Gs0isMxKE0XdDXvZYo+3q/i0Yhizj7d6/NtDgOaVDm0x6scrfuPw4QmLxmaEYTQ1pjstAOJjcTxqK/GHnWdRYAvoN6DflqyzVdXiSEp2ekHnL0mj0WgOUjb5dc99Mqk89J6n3scGcybTDPMRQqn5bNumjOtEoml8C6EWBXFb227uHti2WgAUi6pdtW7Eex4PW72F/IyIEMu2m4uHepVhHAeCQIX/AFQqyJWHwe5d6tjMDPg+oWEiawFWOq3GBCoZWQiEYZByLFIJixUJlb8gfZ9qELLDrC3Bt67ZW7Txr9EsAklhN9538vzHv8ca/q3H22P8u4UKdbK123cIGn3VVxlSCO6Zmm6035B1mgOZr5DAfIuBTsdaFwpdrhFITCRZXTRSo9E8kZCSIRNl9LdO6P39zVAfz1PGumkqb/vYmJqn16xpJvfGDw/XbRrlvt9cSAwMqPdTU6pdf3/99pL7Z3ob6saZcVg5okKHYilSw1C7C3G+ASDCECplJRjh+4hUCoIAo1zC9yVBJDClRHieui5OcosdSkKoxUQUkRQwZOht3wMJbfxrNI+TfpFERgLT6uCBr9NeoKu9XSeDvzVnoJMEaOtuAB00eIQQBJFktO75NwXkHKu5Amk12Pc2TrM1dGiBBOJuOwQajUZzMLPcr2DGRq/jEA4MweQkteVrMBwwC9PKuI/DfsJQee8TCZXkC8qgD8NmeFA8+btus/z75KSaq7NZ5bnftg1SKWaqPkF2+YLjFEiGCOH++9U9hoebVYhzObUgsepmYSqFiCVJYw9/pYKYmMCpbm+GA9XDhPB9tdCpVtXYy2UVxvR4ni+aJUMb/xrN42TYSCFl04ESe+PbPfrQXde/3ePfvjvQqUZAe3Jxcw2gDG0J7CxVG9cckUtgmAZEzO2wk9e/Wy5AJyN+PsN+oYWBRqPRHMRs8EvKyA1D8H1krg8AX1gkp8aQSEQQNHX8+/vV/BuGzRCfUqmp6uN5zaTfKFKedd9XBnqppBYKcZXgqSkeHF7V0zgP80oY+RwEvuo3CNR4fF/tBMS1CEAd27WrGYoUU6kog398vJmPEPdTrTYXM9WqGmv8QAx0uOeBhDb+NZrHgWB2yA90lt5sNebbY/7bFwDdjP05924sAJQxLRFK2hOBUvKU3DtRarQ/Iu00txPaNUjbP0Drz/YbthYc6LZAaA0jal9YaONfo9E8UZARg5HX3FGtVDCrylOeDIsYtSoin28a9aC8/qap8gBiw9m2G4sHKhVl8DuOui72qhuGMvrjPKxcDhlFbE30pvKz0S9DUPfWx/cJAnWPSkUdixWIpGzKiSYS6qfvK4Pe81QIUlywLJdTPz1PvXxfta/Vmg+2Umn+wWn2Kdr412geB/0iiZSisUvbMfm2zkKhPZ1CfNrbdnpJqRR+hIjqikORmqfDiGlPTeSuIUhZRmfDez5jPmYhz34v7eZbcGg0Gs1ByErpY5TLyqCuJ+CKmtpxNacmEcmkMp6DoBlbPz6uvPfZrAqNsW0VeuM4KpynWm3Gzodh83dQBncqBStWQKnEVCKFDBbWlI4CSPYNwMSuZvhR7LWPFwCtXv54UZLPq3GBMup9X40njvOv1WD3btVfnLQcb4PH34nnqarEmgMGbfxrNI+DYTPdKdx+3kXA/F78udd3kghtvpfNn1KqRUDdAH90phnysyGnpEgbxnkn738vBv5CIT+d1H/adww0Go3mCcKRUU15watVlfALzXkuLtxVLCpjOpVSxy1LXRN702NPeT7fDJuJY0hbJUFrtWbF3/FxSKW4rxhAYuFxJkopHpBZjhoMMX1PGfbT0yrMJ64snMs14/u9+m7GxESzwjCoMSaT6nwiocYUx/nHXrD4c8a7GabJpNDm5oGE/mtoNHuJABJYGGZznm6lm5O9VaGnnU5qP50WBa0hQrPWAbIZ73/fVLnRx+pU2//q8cVh2N0ob9cj3dukXm38azSaJyACyYApoVqPZ7ftZqw+NMKA8P2mbr9tQzqNrCv8iDg2PpbtXL1aLRRiKc5Y6QeaYUOPPAIzM4S2zfajntbTWP9sLdx4fY0VZwzTPxAgymW1+yClkh2dnFTGfKxOFO8ClMvKwI9rDqRS6ni8OIilSC1LtYuLkcWJw2EIUcT9pk76PZDQxr9Gs5cMGSmYp3hJJ+89zE3+bZfubG8/30JBiHgI6o0kQhgG1SCkHKgHUMo0cEXbjeoTcuMG83n0Ow14vp2ATmjDX6PRPME4XPoYcfhLtdqMmS8UVAPfh0SCKJsDx8FIpZQn3TTx7RT09WGXppSKTiy7Gct4el4zPMd11QIgCBrXMzjImOUie1DScWVIrjLFi85JEm7dxuS648FK0ZeawYi9/vm8ahzXdCmVIJUiSmeQjotpmzA6qpKAg0Bd43nqOsOYpRIUDQ0TmTZmeQZRKhEYJrt8rfF8IKGNf41mL1lmpxBtsvbdwn1aY/tb28bn2tvGP9vbtNrhDYe6OlOXg5NIIh6Zbnr9j+lPIVqri8XG+3wPjW6GervO6Hy0J//qmH+NRvME4siwAh7NrVjfbyr0ABSLSNOkKNPYiQTu7lHETAGRy2G6NpWaxEJg+L7ysAuhFg7JJHJ4uB5DbyFK9aq/cUhNPe7+vv6F5T0BNhohRqUCUUS5fznTBcHKZQE+Fg6eeobEOQBxbH49yVcYgnBgGBHWEM40IpNRYUxRpMYSBDA4qK73fXBdhGWB7RAVBUYyyU5pNeoHaA4MtPGv0ewFAnCFhbA6y3gueH2bClD7oqE99CcWkmhN9AXZ9PxHsrEBIBHcN1VpXLs8mwDZ8kDqpL7TaRuiE+27BZ1ki1r7ad0laF14aDQazUGMkJK8X4XIVEZvOq0M3LrWP9DwhhupJF6hhiPAqBvJZiIgUx5V3vPY0x9X7x0cJFy2Emwbs1ZWmV2OQ5DKYXjbMRMJAtdl1En1NNZVaQsqFlgW6XyStChCoYToSxOEKSSGCtcPgmZoUT4PQiBME3tqFPr6mqo+y5Y1ipZJT3120d+vkpFrNcTobsxMBlBhQfdUFk5I1uxbtPGv0ewFI2aKKBKzarFA91CfToW52tu25gLEdVHaFwVzjklmRx4JQdEP8SNlYA84BnasCNTJ897uwY8TgRdaybTuIrT2Md8iottWh0aj0RxkrK4WMIpFZeibZlPNZ2KiOf9VqwjLIrVrC5GwMFKOml99v1nRd3xc/RweVseqVQhDrMkxpGVBuayq7abTWOUyTI4jfY9dPRr+SVPgum5DglNEEdgmcnAIKQRGGFGLLALDxOmPkJNjAEjTRDqOquBbKKjPl8upRU69GrBMpwndNDKVwpb1kKcggGJRCUy4LlXTpqAdPgcc2vjXaPaCESeFydwwnE5GfUxs4LeHB7U7zNud6a3Jva3tG/dqvRjYMtnUU97Ul1KTvmEghWgoATXaz/f7fMZ63K7TgqJ1d6C9rZS62ItGoznoOaI6o4z4qammJGZs/MZa+Z4H4+MYto1hWUBOxe5bljKoYzlMy1JhM4ZBNDyi8gOiEDE1pRYXpRLMzKi8ACRYFvdmBnsa57F9SYSNMto9D8KQMFG/pxAY0ifhACICCWEmA4CfymOlXZieUuE/cVXiWk3N7ek0wnUxEg4QIr16+FA6jXRdcBNgGjzsCVRslOZAQhv/Gs0eYiBUyA+djfv4/XwiOp3i/Nud6d2kPpuLAQFIZBQ1vPqRlDzUIvE5kkkgYhk5mC3xOV/cfq/a/fP10SlEKAybD0aNRqM5CDGikLzXIr8Zh/ukUsqYjyIVApNIqHkvVsUJAnXccdQ1/f3N43U5TVF/kEhZn9djCdFisaH841sWU5bb01hXpBwIA3BdpTCUSiEMQeBHmDJAygjDEATCQgjwQ/WgMR2TsBZg5fOQzTUWAY1KvvUHkSHq83+x2JD1JJMhTGSQSO6bmFyKP4HmcfK4ArE++MEPIoTgsssuaxy78sorOeqoo0in0/T393PWWWdx++23z7ru3nvv5elPfzqHH344V1111axzb3jDG1i/fj3JZJLh4WGe//znc88998xqMzk5yUUXXUQ+nyefz3PRRRcxNTXVOP/jH/+Y9evXMzmp/tEJIUgkEjz88MOz+nnBC17Aq171qsfzFWgOQZZZSUSbys+sBNwuSb8wfx5tN2M/fj+37+a2g6yfKPgR9YgflicsTCkbHp6ejf34917atg6oNam3046ClOrBYM+uiKw5eNBzvkYDq6pFjFqtKeEJau6LC2PFyjdxgm42q4z7+HjrbqjjKOO+Xj1XjI8jtj+GKBTUtfl8sxpwNgvZLNtT+Z7GOegYWFLtuAaRIErniJwkwjCwDYkRBhj1AlwC1c421dhMIbGNSD3pHEd58xMJNdZ8Xo0nDNViZnJSvWZmlHKR52FVZqjOFPB1yM8ByV4b/5s3b+YLX/gCxx9//KzjGzdu5NOf/jR33XUXv/jFL1i7di3nnHMOo6OjjTaXXHIJF110Ed/73vf4wQ9+wC9/+cvGuRNPPJGvfOUr3H333Vx//fVIKTnnnHMIW7yFL3vZy7jzzju57rrruO6667jzzju56KKLGuc/8YlP8O1vf5v+/v7GMSEE7373u/f242o0DYbt1JyE3PaY/vlC3uejXeqztX5At3B6IYRS8zEMHig0E3039KXmetr3dFXSer49nKe9z17yBGo17fk/SNFzvkajWO/XY/09r2nw23azuq1b98rHWvjQlMNMpZqvOMFWiGalXSGU8k8YIk2TINOHjCsBp1V8/d09ymZuTBiNBYawTCqRS6kMsuY1HlYhBhIDIYR61tQfOIEUzd1aIfBzQ0qyNJlUhr/rIhMJlZcQRc3j+bz6TJ7HA0Ud7nOgslfGf7FY5OUvfzlf/OIXZ022oCbps846iyOOOIInPelJfOxjH6NQKPD73/++0WZqaoonP/nJHH/88axcuZLp6enGude//vU885nPZO3atTzlKU/h/e9/P9u2bWPr1q0A3H333Vx33XV86Utf4pRTTuGUU07hi1/8Ij/84Q+59957KRQKvPWtb+VP/uRPZo3rzW9+M1/72te466679uYjazQAmCiVn06h7gup/nQK5+kW+9+NjvW2ACkEEbCtoEJ+DGAwac/ttNXIb/XSd1LqaaWbwd/t924Db181aQ4K9Jyv0SgMKcnJUBn7rju7yBXM9tik08p4tqxG7lUjxj+RaBYEq9WQcS6U7ysjOooQ9cTawEqo89UqtZpHuUdn+kDLe9M2yWQglwwwkCAjAjtBSaYZKyWYKphUqoJKTY3dcGxl2BsGIgqx8dUucz03IXSThMkMfiZP1D9A2D+IdJzGYiiSkocDPd8fqOzVX+aSSy7h/PPP56yzzpq3ned5fOELXyCfz8+amK+66irOPvtsUqkUhmFw7rnndry+VCrxla98hXXr1rFq1SoAbrvtNvL5PCeddFKj3cknn0w+n+fWW28ll8t17O/UU0/lOc95DldcccXefGSNBoAROw2IjgqWrSzkYJ8v4Xe+61uvrYf8N5io+I1fD0876n/u1o7ihNv4faeBtb/vNJiFcgDar2ldsRgGVaGLvRxs6Dlfo1GsDcoqeTf2dKfTyvgPAuX5T6WaoY3r1zeLZ4WhipWfmVHx8bE6UDKpQoIyWcKhYRgYUMfqVXKtoIqZsGBwCNnXx8N2pqdxDjsWVSuHrNWIwgjpeereoVq4iDBUGv7CJAoh4Uo832BqWpmFZc8mdFJqAVAPLQ2EiQwjPMPFDwQlz6ZQtPHMFLVEDpnraywOxiPlkNIcmOxxwu83v/lNfvOb37B58+aubX74wx/ykpe8hHK5zIoVK7jxxhsZGhpqnD/vvPMYHR2lUCgwPDw85/qrr76at7/97ZRKJY466ihuvPFGnHpc3c6dOxkZGZlzzcjICDt37px37B/84Ac5/vjjueWWW3jGM57R60dWtIZPHIxhC3rsi0K/YxNFfmMordr7MNe4jyJVMCW+plVJM3YOtcp6xtfWd1rnhPw0fyqNfyHj6VVw9+7Jxne0Lmngx8VaYkO/1eBvr9LbYVHg1z1RflzNsXWnoFOOwDx9NbKUo4iHpTb+Dyb0nM8BMffsMXrsS8JqbwbfMJRxHkU09J5LJRXWaBj4KSXD6W/ZAvXiWtgtO7Fx9d58Xhn69QRaaZqErqtEGgoFtbgIAoqFkCiVwQ8d7p0aZZbXpwvrDYhERCm08MsSQ5ikzJCoXEEkEghD4AchhiFJpkBEAUiTmZmgPkQPP2HjS5MoiIAQQwRUfah44DgGYRhgWVAqgyl8DCPErDuZ7q1JCFueAQfg3/JQZo+M/23btnHppZdyww03kEgkurY744wzuPPOOxkbG+OLX/wiF154IbfffvusCdx13Y4PAYCXv/zlnH322ezYsYOPfvSjXHjhhfzyl79s3FN0cItKKTseb+WYY47h4osv5vLLL+fWW2/t5SM3MB+8E7P+P7T50J17dO2BhB774+Pevbzu//7vxkUdRzdis/oX9y9enzfOY/TtDeVyeeFGmgMCPefrOX9/ciCO/ZaFGrTkuty4ffv8bScmYMuWPR5DL+6Txztr/+pXP3mcPcwep6nn/QOKPTL+77jjDnbv3s2JJ57YOBaGITfffDOf/vSnqdVqmKZJOp3myCOP5Mgjj+Tkk09mw4YN/Ou//mvP26+xosOGDRs4+eST6e/v5zvf+Q4vfelLWb58Obt27ZpzzejoKMuWLVuw7/e+971s3LiR7373uz1/boBw/QmEyRTmQ3cSHnGCWrUfTIShHvvjZEikOMzJzgpbb9Xf73Q8DH3uuONGnvrUs7Fte44UaHvc/3znWr3+hqAp8C8lu8sev96h4qiPyNo8KZ+cPfhOoToL7Aj4vs+Nmzdz9lOfih3HpsZtYvm6Tv23lrdv67MYwrWTtblj0RyQ6Dlfz/n7hQN07GvLkxxXKzTj9atV9cpm1c96KI8fhtw4NcXZK1dim2Zze9c0m+prqZR6H+cAVCoqHEiIZhgR4GOxMxxGGhaPVWcYEwsb0SO2w0kpFaNfMrP4OGAY1Goqwsg0Jab0MaIIaTtEkVKJi6RJEATcfPONnHLK2QhMkpaPMAWlmtPIb7Ys5ciPK887jqQv42MEPsIQ7Kj43DFRnTWmsDizJH8Tzd6xR8b/mWeeOSd56tWvfjVHHXUUl19+OWaX/0mllNRqe//Ab73+lFNOYXp6ml//+tc87WlPA+D2229nenqaU089dcG+Vq1axd/8zd/wD//wD6xfv773QZhmcxJqfX+woce+1wxbOcCaU3CrNfSn1VhvbWdZNpZlN853CudpX0S05o3FbaSUjX5lRGMB8GCh2Phujsynse2276lTjH/ceasUZ4fYf9s0sePBtCc7tLZtlfNszzWo338rFpi6yNfBgp7z9Zy/XznAxr4+rGLHkp6JhBpbLH/Z368KfkkJ9YR2u1rF7utTlnKlotolEg35T2lZUKshbJvIMBGOo4ppTU3B8uUgJeWJgKkZFyEE40kPesiZGjD68FIRScvHkS6BZyOEIJeVOE59+hcmhikwiPACG78m6mUJ1NydsiWOJTGFgWFbmK6F76tzUsLu3epjxOuZUDi42XrIz/j43L/bAfR31Oyh8Z/NZjn22GNnHUun0wwODnLsscdSKpX4x3/8R573vOexYsUKxsfHufrqq3n00Uf5y7/8ywX7f+ihh7jmmms455xzGB4e5rHHHuNDH/oQyWSS8847D4Cjjz6aZz3rWfzVX/0Vn//85wGlFvGc5zyHTZs29fQ5rrjiCr74xS+yZcsWXvziF+/JV6A5RDEQJE2zkTPbasDDXDs4dozPl8DbLdE39qa05gLMWlDU2wehSjwOoojxqpJUcwxBut3wjy/sFqvfGq/ffq5b29bBtrdvv66+cIiEYKun1R8OJvScr9EoTCQ502gasXGl21jJx7YJh5cRmjYinVYx+7ZNI9krju03TUgmlcddGMiUw9RkhG1BKpPCkj5YNpRKyIEBxIBFnxQYiZAtMwvH+ptAyrQZKwiSSRfLAtNUhr1lhIgoIDRcDENgigghBI6l9PzDyCKOzokMGwsPQwjCMCSSyvHleaKRriCESkuIyx1IYVD2Q4q+ju8/0FnUJ7Fpmtxzzz286EUvYuPGjTznOc9hdHSUW265hSc96UkLXp9IJLjllls477zzOPLII7nwwgtJp9Pceuuts2JHv/71r3PcccdxzjnncM4553D88cfzH//xHz2Pc2BggMsvv5xqtbpwY40GGDZSmKaY49Rupz2Ep91Wjo+12tGxU73TAqK978Y9kNhmiGlETHnNf8cb8slmHHS3gbauShaqzjvnxj3UCWhdGUnZSPSa8CMk83x5moMOPedrDhXWCB8x0K/c3YlEU5M/LvIVhmoetx3CfF0Od+VKWLaMaGAQ2T8AIyOqvWFA4BOFkrEJg93jNlNFm6pnEFkO0nEIIoFXg3RSsmY1TBulnsa5OpsimRR15VGB5wli7QeEgWHbWKY6F0ZKXUIIgTANTFM2FEtnioKamcYXNl7k4Aeqr7igseOA60qqVcn4uNqsmJqCe3dVOoxKc6Cxx2o/7dx0002N94lEgm9/+9t73dfKlSv50Y9+tGC7gYEBvva1r/Xcr+xg4FxxxRVaAk7TM/0i1XDgdIrPj431OJombtMukNPJwG893s1ub+4MCCQgDECCZcC9k82Hwupcgq729UKFvFo1SzutPObbGWh/3/4lRRH39FiYRnNgo+d8zaHIEdIDP5pdyCuKmlr9nqcq55omhE3NfmkYBH1DmLaJEQWIuiIQQmAbEX2pGgnXpVoTlMuq0FYimcIjiecJZCiQoWRroTejek02hY3KJY7LD5hm/RmEQSiVpz6KJFIKRGhgOVCpibjkAKDqjLmuIJt1kECt3JzawxBkpFSCfF9tcJTLKh9te624JN+/ZnF53Ma/RvNERxX2MufIe7Yb+jGd7OfOibu9hQM1f48NmmYHfhgx7akHTcIySNg2BP7Chn4n2o3/dv3SduY73ib9GUjYLXXIj0ajOfgwkWSjukFfKimvfy5HI4A+zk0wTWUJx16fbFYtCGSArHrgOo15VVoWobDxEBRLdYO6Pm1aJiSSgpqnbleJfMIe5nTbEKQdi5kZZYxHkdqkqFRU37bd3GkOAkGxKAhDgzBsKpZOTqq+wrBZjqDdmVWtQhgKLEvWixFLTFNQ8gOCHmRINfsfbfxrNAuwIpHGMcSsSTCm3VbuFKMf0827v9ACoLUfJfITNdYBO2aa3qBNfUqWUJoWQvqzDfC404UeIHGyQScvf3vScLf+4lyAuJ8oYmdk0n1LQqPRaA5c1uKr2SsIVJB77AlKJtUcV6s1Nf9rNeV2h0bVX2GZiJBZRV6CyKAWCCoVwcyMiqEPQ5icFNhGQD4H6ZSpKuVO9CaTuT6dREqB66phxgsAz2uuUzyVHkaloobi+8rIb81ng6ZuQyxSFNcHi4+rBYXaLSgW1bWjZnmRg8k1S4U2/jWaBRgykiSTNBKhejXe2x3pncJ85qPd8S6EQAgJqE6khHsmmw+FVen67I6k3mp2B60dtw+sUw7AfIuHbn22S37Wx3l3pKcajUZzcLLOAfy6Zz8IVMhPKqWsYc9rFvmKHR/1PABVtCuFQYiIVYKAyLKQGFiWujSOszdNJRo0Om7imD6JtDKwHyn2FvKTly4EPpZlsWyZMuxHR0Wj6PDUVPNe8ZTtOGqhUCg0E3hh9pjqOcqEoVrbeJ66tlRqUfuJJFOG1vI/WNBPZI1mHgwEZmRRrc422I0O3o3YqG+1gzvZyp0WBq3Hu+UU1I+oBYAQ+GFIqa6qkLVNbNtC1B8uPYf9tBv7rSuUdtqPz/c+3imQEg+Y6aksjUaj0RxYmEA2n4WxmpLwNAykYSBsWzWw7Uaoj+zvR5gmkVAPiGrkkhAmUhgIx6BWlZhBFceKiARY9aTZdFrUNwQkrgsSwaO7HTIZmKx4PQXSJAyDWs2lWAyxkxEpV+I6Bvk8jI0JpqeVkV6rNY3+uMRAGDbj9uMNXttW7aam6t+DyawdhXidEwTqZ2j7SC3yc9CgjX+NZh4GhdpGjXd5Y2O8Zfe2QXvyb3vsfqddgPZrW3+fi2z2AWybaSqXbOxLKE+/YSxcRn0+Lz/MzlLuRqddgPbs5rq86MOhNvw1Gs3ByepMPbF3xQqCbB+mJZCmRWi7CDdCVipIx8HK5wn9iCiVIZJKXmfnqMmKFQLHglLFJookGSMA38d1PaZmXLJZgeOoWPtkEkwDbFvF0k9MCHaaxZ4stXXZDBlD4IcmQUUlDotA4vvKwA8CZdAnEipmH1S4jmmq9IW+vvr9Tbj/fjXFV6tqsZBMqq9gfFy1iwWLMhnVr5Rw1/QMaOP/oEEb/xrNPPSTaoRydqPVkO8WTdPaLraLO9GeGDx7ESAx4oAeKbl/oqnyszLpdDb62w34blV9e2Uh1Z+2e0ngXmn33r9Go9EcQKyzJWE2j1ktw8AAXsXDwke6CSIMIjfDjh2QEFVsAsLAJJNVc6LvS0olQcVQDiRDgNGfJIxs/AAiPyKK1MMgnVZJuBVfGdSeB6YlKZq9FcsbcpIkHbAsSRRGFGYMpFQe/3RaGexxvL6UyosPysD3vKZoUSwLOjrajO2vVptFjYNA/Z5Oq4WBaQJCMlbzFvur1ywh2vjXaLpgIHCFNcuR3cp8Mf/t0TOtuwSdQn66yeR36k/IiGooqYTKgM/bJpZlNquDdYo7aqdb/H63kJ9usf6t17T+tCywLEoY+CWd6KvRaA4+TAF5QxKUypSNBIlajUhY1KRJtShIOT6GIclmHRwnwc4dEbYUpDJqAvd9ME3J5KRgclLF369cCctGbNyEYOcojE+ErF8XEEqo+A5CKO96Pg9Vw4PJhceZNi2CmkC4EhlEONRIp5KMT6hcsTgNwTCagkRh2EzmjRcbcUgQqJ+xSlCc1hAXH04k1GcbHlaLiJ3lva/mrdk/aONfo+nCoJGsJ9mq39vt204GfKe4/Va6hfa0KwXFfc1eBAiEIUDAI1NNLeVjBtPNkJ9YZacT3Y4vZPB3+r1Twm/re8sCIXiwFIGWftNoNAchq1MuJFxCD0zHpuoblCqCfF7QL6tEUYQQJqYRUa0alCsGy3Jg1ONfDjtMkktHhKHBvfdCNisoFJQaT06qcJpUUhBIi1qgYv5TbohtRpgm3L5zuqdxHuakMQyB50kySTCliYtPNusiRDN+v1ZTBnwYqnzlKIplO5nj5Eql1PiKRfWybbVQiNWDYgWhYhHuq85olZ+DDG38azRdGDJSGB0M+fkSc2H2IqDV299JJrQ9/r+7s142r0Fyf0thr+FkPaymXaKzF5Wf1sHFi4NeJEHbP0jrPepEUrLV04a/RqM5ODksmURaBl5oQSBI2pIIgZARRCHCcQgxqVQF5bJk5UpBIgGeH1vCgppvUC7DyIiqjlupKMO5XFbGeK1mMFOExx6D4WHJ+tURdlRDhrCztnAQvZQwtjXB6hOU9n6pahFFFoaQ1KqqkFet1kzM9TzltZ+eVgo/fX1NCc9stvnM8jzl4W9VM413DaCZA4ARUs0FS/Dta5YSbfxrNB0QgIM1p4hXp0TdOdd22BWIr20P54kiNZl2usecsCKplgAztQgvUjcYSVjqf+LYcI/3cHsx3jsZ+a27A+0ftJOR322x4ftMhhBqlR+NRnMQYghICagFFsmkxJA+YnyMdF8fkeUShg4136JQaE7qpZKaBoNAzY9btgiyWYFpKi/5+LgKm+nvV1P11FRTaadSUb8Hy0JIGuyo9JY9W9pt84ebDAb6YM2aZnjO+KRoSHHGBbtqNeXRN01l+Mda/7mcOidEM3UsipS2f6zoUyqpBUEyqRYFUNf/F9WuY9McuGjjX6PpwJCRIopEw3sf27rzJeq2v2+1l2OnfLscaDfJz1aUamYz/OjhQlNLeUM+OXe1YFnNrK32QXZbFCy0WFgoQbhDTsD9gTb8NRrNwclhySQJM0JKDwObSJiE/cuxRYDnG0TSwPPUvJzPK6N6Zib25qs+HngADjtMqeIUi01vehyhGYZN4zqfB8sSTFYSlHzJH2Z6CPYHMtUM5TI8+iisWNHsVwh1rK9PGfegQnxKJfW7lOr3OBcgjvuPE4HjWP+4P8tqLgbiUCKAUq7YcVyaAxtt/Gs0HViRSEJtdhhObPgvpPEPnfT5O+fFthv87YuMuVE6kq3TTeN/KOXMTu6Nnyrtnvn5jPtOuQDtWxytx7vJgraslEIJ2wOd6KvRaA5O+mQaz7LwA4lZkTiuCveJEFSqSnWtVmsm0UaRMvqLxWaBrIGB5nQsxGzDH5QRHkWwezds3Kj6GR0VBJGkmPVYsCi6hJV9Lps2KSN+165m0a0ggMFBGhV444WHbSvvfaWidiBctxmCFOv3g/IfOU5zZyKZbCYKu64KEfJkQGR2ySXTHNBo41+jacNAkHFsfNQE2i3ht5Xu8pz1Ptti/9vbtxv/nRYJQkDJCwjqxveKlI0ZP3VaC2vFRnhrDkCvMfytT6ZOi4JuuwetCkNCMOpL9PSi0WgORgwBeBbliiCREKowbwCWAcVSVDeiI0zTZGZGxc/HCbGG0fSKx171uDhWrQbbtjU958uWKe/76Kg6HkdtzkQe5BYep1V1iQJBOg133w0PPQRPepLabQClxlMuK93+2Ii37aa0Z2zcVypqYeA46rMATEzA8uWzHyVxe8NQ454wK+AsxV9As9Top7NG08agmSAKVZxmu+e/W9JufD6mWy5AtyThTtc0+1YDEMCW6daQn1Rzf7ebdOd8dEr+3RM6qQHVj/0x0FOLRqM5OFnmJlnWLygXfLAFyYRJzROMTho89phBKgWHrZQYpsS2RWMqzGSUoVypqN/7+5uFsHbvVt70OMY+9tNMTjbqISKlqg1gHDZDL/70VDXF9DTs2KEWDp6njPLpadX/4GC9XUp5/31fnfd9tQiIn2nxYiQMlX7/1JQK8clm4xwG9TksS4UNCQEISXGkNN/wNAcw+gmt0bQxYqVnSZ9B93j8mNZ4/lY6efg72dqt17bvBLRK92+tx/sLYCBR/9+3NcyndTC90mnh0C2Rt72Kb+vgLQtMEy+STFW1yo9Gozk4WZdPEQQwMGQQVT2mxwImSy5RJPB9ZRyDoK9PGcWmqYzrSkVNkdms6qfVyA9D2LpVGd67dqkwmqc/vRnvn80q4z3fL9liL6yeIyUkQhevHu25bl3TI799e9NYL5ebuwu2rbz3sW5/Ntus9uu6KkypVlOfL5lUScG5XDOMyHXVgiIIACdg0tTz/MGKNv41mhYEkBDWnIiXbiE/reE8HfvrEtPfnkjc3h9AFMmGR0gAMzWfsD7XHp51MTplDXcz/Nu3GOInUqf23X7vdo/WcCMpeawWoacWjUZzMGII6EvYBAEUyyZSJil6ysB3XRUKEwTKiI+nwmJRhckUCs04emh62oNAGdBHHKGMalX8Sxnihx/e3ClIJGBnqbZwrD+Q8h3GRgVDQ/DkJ6spuFRqTsWVijLkCwUYG4Pf/Q6OProZwpPPq37KZbUwyeWamv+gPodhqPFGUbPCb72EC9uCEvQmSKQ5ANFPaI2mhQEjSfvM282wbz3fUZqzA62Lhyhqxoi2x/oDmAYIox5/Cjw01dxiPTKXbN6skxJPJ03SbkW+On2Y+eL6O52vy1ZI4L7AXfg+Go1GcwByWCqJYag4f4MQ04K+PqVctmVLM2k2n1fT4MSEmhKrVRXCs2sXbNig+nrsMdXOMJpG+MqV6pVOw333KQ99LqfCgjwPpgd6U8/J+VmiQXWd66pnSbyoiBcflYpaeISh8vLHoT7xgiQO9ymXlQypUhxS15bLKlyoUlHXe57aGVCa/5JRUVnsr16zD9E12TSaFgZINYrkttfAit+3Hmu1heeLmOmk+x8f73StECAM0bwPkodn1P6sAPrsBTRHY298J+bLDZhvgdBJuqg1OVhKqhJKi6ztf9NNN9EnBBMTE4var0aj0bSzwk0hREQ6JcmkVXJvFEnGx5vJr4WCCq0pl5vzd7WqjONMRklsgpom40q4ccVc31fXe15z8bBzZ729GeH3EvITQW3KJplUHvpEQhnuuVyzKNfkpBqfZanzRx6pju/ereL5KxU1FsNQ17quGkuxvvaYmFCLlzj2P17cjI3BeMlbom+/yclC8IGFPG+avUYb/xpNHQFYgd35nJgdktOu19/tmnZar+skGdoq8alegkjCVCWgXteLtfkkojUbuVNHnVYZ8/3e7VhrX+15Ba3v6/pyW0Xn7+/xcN0ZZzAN/O///u+i963RaDQxAjACm8CXEIVUagblqqBWU7H+sbRnpdIs0uX7yiCOk2wtSxnJ0Iy7LxaVgb1pk/K0F4uqTTqtjPfYKy8ztd4GOpVkfFwwM6Om30KhWYG3XFb9S6nCgMplZcjH0p2JhBpXpdJcvORyzd2LQkHdIg5j2rlTKRHF4UCGAVPO0mr779ixg9uBa5f0Loc2OuxHo6nTZyQwhZrk47hGaIbntNJN0jOmm0z+npxr7ggIHmxR+Tkin5w9gHaPfHuH3W7U+r7XJOHW1U7b9oeUkvtri1/Y63pgHXD9hRfyl3ujSqTRaDQ9sDKdwBBQrhikUxLPF0SRaMhiHn64CpepVJSsZq3WLPAVS2bGxbDS6aZ3/bHHlNHd36+uy2abhrfrNsNxJvt7M6rdUpqCrxYcQigjH9S9du9W944r8ToODA01x2TbatGSTjelSKvV5mLBttX4XLdZrOyxx9TYhQA/iKitWlrP/w033MA64HZgamqKvr6+Jb3foYj2/Gs0dUasdCxYMyuOv9Ub3x7fHx9v/dkeEhTTbcHQLbxeiAjTUK9tMyq+0hSQs83mhfNp+XfTEV0otGe+hN9OH6Du9S9aDsEiTym7du3i98A/AjcAUhv/Go1midiQd8mkIjJ2BQMluFAqNV9RpIzorVuVVzyfbybJBoHKCSiX1SIBVNu4FMv0tHpVKmoaLdf9OUGgQohGJyJkYuGQHyKQFYtsVvUvhDL6H31UGf5xaNLMTLN4l2kqoz6KmufjXYBkUr1MUxn98eNheFh9vlqtWShs1y6YCnpLSH483PCqV/EKYBPw05/+dGlvdoiiPf8aDWouyxj2nEiadmO//XyrTnKn3IBOUvrx+/Z7zL6fVGa0gMlq08uyLptAtEt7xrQnDyxkKLf207pa6Vbkq5PKT3ytYfBAMWCxnwo33ngjTwZeALwGuOeeezj66KMX9R4ajUYjgD5TIOyIqORTDVwCXxKGsGWLYGwMVq1Snv2+PmXgx5r4htEM8Rkfb+rrl8vKYC6X1XS6Zo2q5Os4s8OGhoehZFV7GmeymsJNCwoFZazHuw6plFqIuK4K1ZmcVEZ9LqcWHbmcWni4rhp/KqUWCLGCTyajXjMzyuC3LPW5HEf1EycVs6LEUrpgoijiBuA7wAxw/YtexF9op8+ioz3/Gg3QJ1xAzPL0z5bdnN0+jn9st7Vbc2A7GfWd5PE7y4UKItRF9082Q37WxSE/nYz7TpJBnT5A6w3bdw0WUgRq/YBSqi+iViOqVHjYn//SveGGiy7iHCAJPBO1HazRaDSLzQrXwrBMfC8iTGQpVQx27TYQQpBMqrj+++9vzuWjo/Dww2pH4KGHmpr40JwiTVNNkdu2KcN8586m7Gd/v1o8FIuwfbvE7zHkJ1VNYtvKGA9DZeQHQXNBIYQy7uPchEKhGfNfqahEY9NUuw3btyvDXghl9I+PN3X/g0DtDGSz6tXfD30DETK5BBN9C3feeSc14CTgHFTYp97xXXy08a/RAMvszLx2b2xLG4aaOOMcgNbQoPjV7uWHuWH57Tm68TWtxcWEEIQRbC+qwEtLCDJ224270Un+s9vvnT5ot/adNP+DgMlQqsXKIiKl5Abg3Prv5wI3XHbZot5Do9FoAFYmM8iah5CSUCqjOJ+XpNMRR66POPtsOOEEZRCvWgUrVihP/tBQU+vfcdSxmRnVZ62mjOmhIVi7thnrPz2tjHbPU+E4bjLCTi8smm8gcLDx/WbxLq++MRzvAnieWlQMD6vfbVstBgqFZhXg2MhXSkbqueP7zUJe0KxRMDjYVBQK00sv73nDiSdyJmADpwE7gAceeGDJ73uooY1/jQbImPYsg3xuGM7sc7E+P8w2+tuvabelW8OEOi0AQBm9QkiklExWvcYW6xF9qbnJBq3bDb0k93ajffDtdFsZWRa4LvdLZ+F77CG///3vKQGn1H8/B7gJqNV6VMTQaDSaHknbCcpVA9uvYBPgWBErRwL6syH9uYjVqyTZrFoQLB/yedJRAUNDklRKFf4aHlae/zgxGJRRHUtpxs+MuBhXbLwDGH29hfzk/BTptCCTUf3EBrxlqYVGGKodiYceUuOIaxHERn0Yquk9DNW1U1MqV6BYVNfH8f2gFg3pNLPy4ErJ0rzjWwyuR831ACngGcD111+/5Pc91NDGv+aQJy8SCCF6rtbb+nu33IB2CdBO+QCd+lS7CvXwIwH3TzS3gtfkUkjDRBrG7JjL2PiPX63HYXbGcqefMPe6XmQ/6yUqQ8dle7D4GWA3nHACZwDxsuJJQB/wy1/+ctHvpdFoDl3ywiUKwZABVQ+CyKQwA7WqxLQFliXxfcnQEPTlJelEiCsr5DIhhiFZt04Z1+PjauqMvfGG0TSiMxlljK9bpzzyUaS8674P5rLejGpjOoWUqq9jjoHjjlM7EIlEU59/+XL1s1hUhntc6MvzmknAtq0WKum0Gvf0tFoQ2PbckNZYEnSyEBJaS1vSt1gs8kuau73U39/w5jcv6X0PRXTCr+aQZ9hMqWqObTZyq2e+fVdgviTfTouHTqo/nVSD4mRflXcr2VlWTxHHECQtU7VpHWT7KgPm7gIslATcqW23wceDlFI9KYRgrNZD5eC94HpUom9jGNRjQM88kz/XMaAajWaRWJdO4FdChBPgZFxqQtCXCZBSMj5hkM2BbUEQSUxDYgiQno/lJnBd5T2fnm7G+MdVcuME29WrlcEfe92TyWYScCIdYqYWNqplIChOmlRnmlr92WyzwNfoaLOmQKz/H0XqXDKpPP2x/r9lqQWBlOq4aar+HKepAzE2phYmcVVfBiuLXL5xLjfddBOrgSNajp0DXAV4nofjLP4O86GK9vxrDnlypppQFrJ7Hw+9qHAKITEM2YicH680VX7WZtMgJSIMIYoQ8yXodvLod8sB6KQQ1Gnx0Enb1PPA87in3IM83R5SLpe5heb2b8w5KMlPjUajWSxWp30SsozwPAh8TFMiZETgRRgGFAoGwjSIIoHjCEJMZCpDIEyiSDQUdJJJNX3GFX4dRxnoQihfycSEkgkdGlJ5A0ccASuP7i3kJ+ul8X1BOj07Kfehh9Q9c7mm4d7X19xtGBxU44jtZtdt6vuXy021oeXL1bl4qo/VflRIkEQML33Izw3Pfe6cOf84IA3cdtttS37/Qwnt+dcc0qSxsW1B0GK/tsblt9NJvx/mJvjGOwXttnl7nH8s+amOK4+SOgEPTDYn29XZBFEoMQjnqmm23jwM557rZux3+nDdYvu75BT4UjIeLb4P4eabb2YlsKHt+NnAK1D6/8uWLVv0+2o0mkOL5bbAKhUZMFQQfViShHaWEBtpRohIEAWwY4cytoeGDEzTYNu25pTo++p9LAQxMtIMl4k9/rEe/8yMUgk67jjl8Lk77E3l5/BMitG6F37FCnWvmRmVP+A4any2rV4jIyp+vzUidHxcLT7ihUi5rJKAo0j9Xio1i33FRS7j8KRELsRwlmaHt5UbgA+1HTOoO31OP53T9I7voqGNf80hzQorQ62mJj+Yq+PfKVwnbrfQrkBrTkCc7NUpZEj1IxEIkEozJ5Q0Qn5cQ5C2UWo6UiBkl0m4NSSndRDt+qMw28hvlQ5t1SRt77sDO5dI9e36Zz+bc5i7zhkCnozS/3/FK16xNDfXaDSHDOuTBiCRUQTZLKFw1FRoGiANLEv5VOKiXNWqmj4nJ5VxnMs1dfEdpzndPvggrF+vFgyxXOby5bBsmXreFAogrIggubBRbUqDjGsgRtR9y2W1y5BKwcqV8Mgj6nhfnxpDrNsfBGpsU1MqCdk0ldyo56nFydCQ6n/3bvWzXFZhPgMDapyJRD3RN1Niqf3+Dz/8MA8CZ3Q4dw7wCVSxR83ioMN+NIc0WctpKDDAXNu33Y6Of7Z78GGu4k87rZKg7fcKArXNjDCQhsF4tWlVb+hLYgiwDImIXUutHvxu2cTd4vvbX7FrqD0EqFM/LQkR0jD4o7/4ib6gPEDt278x56D0/zUajebxIRmSQcNyj/L9iFyGKJRQLpMojZIwarhuM2HXMFTzFYM1jlwbkE5LduxoqvdEkQq5AWWYb9yoFgiFglIGGhhoFt/ykr2F/KSraSoVgWXRCPvZvl158uNQn1xOhe1YVnNxAOpnX59afBxxBBx1lFoIHHec+jkw0AzxieVBobmYsW1JyS13HdticcMNN3AykOtw7mzgt8Do6OiSj+NQQXv+NYcsKWyENDpKebaG73Q71/q+Vfd/obZzdxBkcxUuI0Bwz3hzK3hVxkVIiRRAFCKFmJ302/p+oWOd2rTH/Ldf1zrYlpwALwgpRYufgLVt2zbuBc7scv5c4MWoSpBGp1WYRqPR9MCg9DGrSvdSmCZGHxi+hyHANy1Gq/04BY9UtobrukgpVcy8FZE3a1i+j5XOsnatkoqenFRKbbEacSrVTKJdtzrC86BQUg+LKJKMid5CfpxykscmlHc/k2lW9S0WG6Jr2HZTZai/X3n9Mxk1fXueWjDEYT2GoRYRcQiQEE0VoDgENgjU7kAxCJTM2hJz/etfP0vlp5VlwPHAT37yE1760pcu/WAOAfSTU3PIMmKkZ8X6Q+dY//nC5ONrWsOA2o371p9z+1PKPpZd1/YUglDCWN3znzANEpZ6WIgwQMh6QnC3m8yXCLwYxPIQxSKPeEsTf3njjTfyNLo/b04BSsBdd921JPfXaDSHBhtrxab4ve8jJicRYYgfCMamLKqeiR1W8co+RBGpFKQSEeWKoOAnmfYTjE1YSCnI5wVDQ8qwjot8zcw0dBEYnzLZvsugVKoX1JIRPgvP0zYGXtnAtpuVeUdHVdhQXHTSdZXhPjw8O9Z/ero5FtNU952eVtc5jkoGHhpSuwOGoQz+2JF1//1w330wGi19om8QBPwv3Xd7qZ+74WUvW/KxHCpo419zyJI3VSnD9vB3mB2e03quU2hPuw3eqY9Oib6gYtoNUX8jVOdj5abKz8a+ZNPL3+6B78Wz307r4qA9caHTFkj7OcOAVAqZySxJYS+A61/72q4eIFC6/2cA159wwpLcX6PRHAJIyTCBso7DUFnQngdCIG2HRNogn41I2iEZUSJnlQlqATVPYJgCL7SI3DShNEillCe9r0+F+gwMqFuUy5JCQRncO3YAiEYl3orTW7Xc9fkMg4OCqammqo/jqHCiwcGmh9511RhWrlSLg0pFtZ+ZUQsC01Qx/KWSivHfvVslAe/apc5nMirUp1S39Xftgt27JdnDl76q7+bNmzGAE+dpcy4qHFTuRdLv1Vdfzbp160gkEpx44onccsstXdt++9vf5uyzz2Z4eJhcLscpp5zSscjYt771LY455hhc1+WYY47hO9/5zh6Pa3+ijX/NIUlKWFim8qbEygbQ3W5urQHQugiYL4m3teZWe75to50hVMGuKIIohEhy38RM476Hp1sM7Pli8+dbDLTnAXTT/V9ICUiIRiBoxXGpzknHffyEYchPmN8DBFryU6PRPD76CbAcB5nNKpf41JRypwcBCSsk69RIm1XMlIvI50kYNXLpCMsIyaUC+rIBtZpsJMiCMrQffFAZzgCZjGTD6ipr14SsWqXaxVPpzqA3j/ryVILly5WxPzKijH/Laj4KWnX8JybUImNmRr2vVNS6JpVSxv3IiFqg1GqqzdiYWgA8/LAKKSoW1TUAhx0GQ6t8jKUW9wduOPVUzoJ56wg8HZgE/vCHP+xR39dccw2XXXYZ73jHO/jtb3/LM57xDJ797GfzyCOPdGx/8803c/bZZ/OjH/2IO+64gzPOOIPnPve5/Pa3v220ue2223jxi1/MRRddxO9+9zsuuugiLrzwQm6//fY9Gtv+RBv/mkOSYVNlZLUb461O9dYE3XavfzudQoXa4/zjvlr7FKIexhNFiCgiCgLGqioWKWUZuIZorhwWij3q9L5V6afb+fjnQguBuBJMMslWb2kSfX/zm98QAn+6QLtzgFtQ9QA0Go1mT9loS7BtSpkR/JGVym1u2yr8xxC4wscpTSGqVSJMJmU/O8csMG2mihaWKVg+6BMGEWNjsG2b0sNftUrS16fuMTQocF1J3i6TSkVks3VlOTPsKeTHFSbSNxtrk2JR7SKsXKnWKXGITyqlpudYdSiTaRYCS6fV2sbz1KPgyCNh7dpm0vHAgOovjvuPp9TJSUisnplveIvGfAIPMS5wOvCj446jUCjMetXiJIsOfOxjH+O1r30tr3vd6zj66KP5xCc+wapVq/jsZz/bsf0nPvEJ3v72t/Onf/qnbNiwgQ984ANs2LCBH/zgB7PanH322VxxxRUcddRRXHHFFZx55pl84hOf2MNPvv/Qxr/mkCQTJYDZtm83bX+YG9ffeix+3744iOMx4/ddabn5aLWZhLChL4mYT0+0NQE3HkQ3WrchuvXTfqz1fRSpp8fUFHJ6mgdKHkvBr371K57OwkoEG4B+mOWN0Wg0ml4ZcUywbdJpJedJOt2U0okF9Oules1KkcGsx7J8lcjzME1Rj9k06Ut5DPYF2LaSx1yzKmLVKjV/ptKCYs2hWJD88Q+SHTsk1SrsrPQWSpOppiiXm0Z9LBkahiqpd2ZGDbdQUAZ+vCOQzSrDvr+/Wc13elr1GScCZ7PK8DfN5vQe5w0AjIxIsiuWZp5vRUrJ7cAze2j7TODfgHw+P+v1wQ9+sGN7z/O44447OOec2UuLc845h1tvvbWn8UVRxMzMDAPx9g7K89/e57nnnttznwcCWu1Hc8jhChNTiEZyU6x+0Em7v5NHv9WQb9f975SHG7eb3ZekHuiPFCAwkMB9U01P9mFJe/aWRPvWRLtcJ8wNC5pvQdD6oeY7Hvdddx/NmA4ByYX73QuCoLeeBZCqt9doNJo9IU+ELQDbRlQryuqNoqYcThA0yuL6bgo/NLG9EDPhqNwsL0QKg0LJIJkwyGQlkZB4nqDmm+Ryas40TUkgDca9HKm0WhwIIbl7tLeQn+ruJH5GGfLptArpGRxUL89T3nspm3KdtZoKOapU1LMtCJQnPwxVu7gYmRAq/KdcVs8zz2smDefzqv3AKo9waTZ45xBCT/N+Cjjyec/jtv/4j1nHXdft2H5sbIwwDOcUhFy2bBk7d+7saWz//M//TKlU4sILL2wc27lz5+Pq80BAG/+aQ45lRhrLEh1Dczol8bYa++1O8oVs6/n0/gUSBESRIJKCMIpaVH4ErqCpRBFfFM/icUed1H1aj7crALWe69Q+vqbT4OvlIx+s7YMnQi8SnkulaKTRaJ7QrHcFeDU1nyYSyuh3XWQuB0GARM3JppSUPYuaJ0gicB0DwxAEESTxSNg2CJOduwWGoUJz4sJYACYBwrJJpyX9/YJ8HsanI2o9zF22NOnPGWzZooqFSakM9FJJDXv5gMeaFVD2LYRhEARqijYM1a6/X4UDpVIqhMfz1LXFotoxSKfV8elptc7JZtW109NqZ8DLFueNwV905tt6j5ESwzDI5TpVA5iv69n9Sinn31Wv841vfIMrr7yS733ve4yMjCxKnwcK2vjXHHL0mYmGUd9Jhac9ubdTSFB7oa7W63tztgsQEiGVJ0hKGK82t1iPySdna/l3Cs3pxfhtX6n0opQwT7sIeHip3UHxQmchtPGv0Wj2gpVDeRitIS0LEglEfb6bidJ4psNQX4TvG0S1Clm/gB0ZuAEYUYbJksv2HYJM2sGUAdIUIAx8X6ns9Pc3C2x5vkG1Br6v1Hoeewxm7N5CfgajNLmcIJlUybuJhDLYly9XBn0U2VhGhPAlExMSx1EOrUxm9gaGbaudgR07miFCsQRobPSDOpbPN6d+IxMwfwruIjNfUl3MHs75Q0NDmKY5xyO/e/fuOZ77dq655hpe+9rX8t///d+cddZZs84tX758r/o8kNAx/5pDCksaEJqzDPx25st7nZ2s2zl3NqabDd2w5yOIdf5NY7bKz4psotmJ2WECnm/7oZMSUKd2nQbdqc/4KRKGTHshkZ42NBrNQUrKBNsQKnamHhwvczlkfz+JnEMqBVNFgyAU2I7AEJDMmJiujQgDEmEJQ0gKM4LRKZsoAscKWbFCsnq1UtCJk2bHJgx2jyqjO5WCfF4yRm8hP+ko2SjGlcupWPzYOFeJuYKpgkmxbBJFgmKxGa0UhwPNzChjv1hU10xPq12BuEiY56njpZIKFdq2Tan/QG9OrAMdx3E48cQTufHGG2cdv/HGGzn11FO7XveNb3yDV73qVfznf/4n559//pzzp5xyypw+b7jhhnn7PNDQnn/NIcUKJ00UND0i3cJyYLbzOYqa+QExnZzT3WL+W/tV5yQmEVRriDAkACZqKn49axm4lqkCIeMY/k4ddZP2bGW+eP722Kb56gfUVzL3R/toytCVezUazRKwyVLKalQqiEIBWSopd7nrYlcq2IbJzrEMdsrCGs5g5ZTc8u4Jk2wGpCNxXEFxQmCadaM+ExLWIsbGLMplQVqJyRFFgkpF5ZdFEdTCCN/oQeUHE9swGio9cWx+MtksxFWpNCWloZnYGyfuFosqxj8uYRDXAQhDFe9fKMDOnWpHIQjUOc+DIOhhd3gp6MXzvxca/29961u56KKLeOpTn8opp5zCF77wBR555BH++q//GoArrriCxx57jH//938HlOF/8cUX88lPfpKTTz654eFPJpPk83kALr30Up75zGfyoQ99iOc///l873vf4yc/+Qm/+MUv9nh8+wtt/GsOKYasBIY5W84zplPMf+u59vZRtHDybyut1wshkBgI1wUpGS1VG+3WZxw1G8fbDGHY7KB9MJ3i/zudb/8g7UnB7dupHXILQsPg0WgfbAP3GvbzRHBNaTSafcqKsApFk9BJIAdGVFw+NHQzfS8giAyiGuzaLcjnXQwDMjmYnFLe94EBZfQbBiAEEwUbISRr1ihDvVqfzgsFZZRXKsoQr6QqPcVbrDAzOKbqx/NUONH4OBx+uOpzcFC1i6fJeHGQy6mPAc0dglJJjdlx1O5BpaJ2AJJJ9fvUlGrT1wfHHw9S7KdwyiUI+wF48YtfzPj4OFdddRU7duzg2GOP5Uc/+hFr1qwBYMeOHbM0/z//+c8TBAGXXHIJl1xySeP4K1/5Sr761a8CcOqpp/LNb36Td77znbzrXe9i/fr1XHPNNZx00kl7PL79hTb+NYcMJgITE9Fh8t1TgZyYeEegfd6Scu5OQUwzX0CCBCkE9081jf/DMk7T4O+myd/6s1sRr/hcp3yB9qTg1g/UjmmCZTHh7yePkEaj0SwCCSFJSKXAM1O1kaZFLhkiHAvD9wikQCJIeAamBZ4nKRYFQijj2XXhoYeUtzzWxjcJqNQEk1MGy5bBwIDkscfUXOm6kElHOI5ACMkdxSI9yPsz4CQgUkZ+rMCze2dAqWSSyQhGR9XiY/duNWX39annShQpv1Gs++84zdoA2awaN6iNDtNUn8UwVEGvTKauL9Ffg30j77/PeNOb3sSb3vSmjudigz7mpptu6qnPCy64gAsuuOBxjmz/oY1/zSHDoEgTBGqrtjVmv9UG7ib12ckZHZ+LRXTa27ejHPmyfj9BGAkEgkDKhspPxjZxWpMKOq0eWnX9u8X+t25tdFrZdFL46bal6vtI4O6KYJ+kCfXq+ddoNJo94MiEATjIRIJEIsXMjiKhKbG9CtgWZiJJNbQYGhZ41YiRYUGxBOPjAs9TXvxVq5Sc5rZtyigfGjIpTsSRk4JqFZJJNc+ODPj0DxqYMqDoQa2wsAMliUXoG40CXqq2omTVU2ByMuT/fmti24JsVnnvSyU1lmXLVIx/vDAYHFQ7AcWi2i3IZNT7Vv/O0JBaoJimWhj4vsTsK2LuD+O/l3lf7/YuGtr41xwyDBjJhiR+e7hO+7zTntDb6sXvJBEa003tp9UGFwLCUHUmEYyWm17/TfkE2Day7vmf1VXs2mm9Wfyz1dBvbzPfzkAnWmsG1K8Jg4Ax6cx/3WKijX+NRrPIrEqYEDlY1RKmDHHsEsIzifL9CK+GLFUJzDSWKXGqBaxKhcDLMjqaJZVShn+louLj47IAu3YJwlCF9czMqGfF1JS6X6lqMnY/2K7Ng5Nl6EGhctNAgvIuSRQJtm1TBnp/v6BQNMn1KbWf2Ij3ffUaHFRjilO3Hn5YhSb196vxxOOLk3zjdratFjSlknphhqw6fj/G/Gvjf5+hjX/NIYGBwDVMFWYzz9zWrunfuiiIJ8z4XLsUaKtzvdscJSUYRFiG0pEWQvLgVFP9YXnCQkQRsr7akEGgktPmo1vib2ssfzct/9YP2vo+DJvXlsvsshIgOhdS0Wg0mgMd1xAkLBNqAVIYiFQKUas2lMyKYZLxaYuEKxnpDzBND6o+A/mQ/ppk1y7l/S8UwHEk69Ypo3/rVrUTcNZZysCemlJedoDdowajoya+LwnXF+nFdF2RTWGmfAoVm1xOqFyBChRDQc1TIT5xld4gUDKgfX3NJN9HHlGx/JalpEXjMCAp1WIl3qmuVmn0HddK7Fvbmwyp5uBHG/+aQ4IhM4VpzJ5650vwbaXdyG8/3m7sdzrWOIdESokRhRhSEgLjcciPKXBlhKzfTLQm3bYPvD1pt3VQrT97Od5pt0DKZt6BaXL/vjT8ddiPRqNZZNblEoiEyqeShkXJszCSA6Sqk4hKGcPtJ5MB2zHANAmSWaJ0P6ZrcWQO+vslDzwgSKVUjPxg3sfLWhSLahFQLitjOorqXnSgWo2QEgaHAkadhYP9s6bANg0ioRYYtZqgVFLhO319cZ/qvWU1q/JmMsrT73nNRN+dO2FkpCkYF0XNa3xf7QoIofoaGwPLkrjre5MhXRK053+foo1/zSHBsK2KZnUy9ucz6DvJdrYn9/aq+28YElH/T5omAhgrtoT89CWVwV2rqdAfKef3FHVK2m2VBm2P8+9k4Le+b93OaDHAfcNkYl9OFVrtR6PRLDKrskkQygI2HYeUJfFDk6roI/AikqZHps+EIKBYcYhEkigEvyzIZCTDQ1AsqgTgSkUQ9FuEgTK6LUsZ3IWCmpZiz/8xGwLSiYj7pn1GawuP8ai0hVEtYQiBX7Yplx127lTe+UJB5RiAMvJ9X9135Upl5INk7eqIoSGDsTHRCEEaGlLX1mpNwz+dVrsDnqfeVypgJUP+4EslMb0/6MX4106hRUMb/5onPAJwsRphO50M/26ynO2x+q07APOF97T32bgPEUQRQkqVRDvR9LSsyKeRXk2F+cT7sO20xOHPMd47tet2vptMaHxtyxh2RYYuB6jRaA5aLCBjCWXY+mqn1ZQSDJso6WAkBJEQiLCGkIAQPLYdikXB6tVw//2CjRslIyOSwUwVkUjg1SJMy8CyVLiN4ygvfDIJ+ZSq1l6oOBRrFo96vWXQ9ifSGLUSEoFlWkxMSNasEeTzyu4dGFDTcqGgDHYp1QJACEgkBLaICO2IkRGLoSHRKDYmhFqc9PcrY79YVLsThYLaVRgchC3F8uJ/8ZoDFm38a57w9IsEMhKEsrMuf+vPbsZ8GDYd0q2e/qZs5+z2HRN/JcqbH4YQhoQSJj3lZsnZhqo66bjIKFQLgPbQnk4hQN2kPVsN+l5yBtpj/lsGf9++TPSN0R4ejUazSKxNGIhiUUnaZLMN17lphEQILCERgQ9CIAoFTN/k/349yM9vMXjVqwTHHB0RhoJEwsCwTGStiLQMItshNWQxNSWYnlZG9PAwmIYNQKkkqfoRtfTC7vQ+x8IwbUoihzu9i2zOZMORNtmcUhGq1aBYjHBdQTKp1H6iSCX37tgBq1fDwIBNICWZtCSbiYj8kPGChWUZTEwoo39oSOUAjI2p6X58XIX87HTK9JSUsFTosJ99ijb+NU94BkV6juplLPcJc2P6O8XwW13+T2m3m9t3F+KfQaAmcMcSmIaBNAx2V/xGP0fmkwjPmy0r1C7TGb+PJ8j5Yv67nW9v0/p7+yKi/qFL+9rtr2P+NRrNIrK2Pw3FgsqONQxIp/HcNFKY2KZUIgtBSBmXVC6PUahy6tNh09GQTEoMQ1ApSwoFiCKHnB2QpMJjO0ySfRbJpKxr+cdFttTEH0UCo78C3sJjPDJhYlkRO8csBn2DxOgYh/WHiFSW8W0l/vO7fbzmNZCyPIqRw+SkwLbVgkP5kyQi8hnKRbiOhFKZCZmnXIxwEoLlywUTE8rjX6nUFylmvSowAVLsJ5WfGC31uU/RT1jNE56UYTcSntrlOludDZ3mnfZ27XZ3a3+t/bQ7MeLFQ8038XEIhMN9k814/5WZRFPKs1syb6fCAjFxqE63a1vbxcm8rV9I/CFa22gDXKPRHOQIIJNMEA0MEjlOo9yuXZzCqFTwffACk5KRRZoOvpXAHs6xahUce0zEMetrZBIeNc+gUBBICdNekiIZMn02jqOSgJcNeGTSETMzEEVqLl1/hGQ06i2JdkWowm6SSYEYGYaBfipuP15kYudTbDgy4vd3GfgeyGqNMJR49UXFspEI04xw8EnaAWboEyYzlCsmQWRimoK1a+FpT1PJykIoWVJQmyHTpg75OdTQnn/NE5p+08Woq/x0S8iNjftOYT+dQoLaPf2t/XW7XkpJtSoxTaUMEUQREzU1c6ctA1sAwpgtsbknSj+xrGc3o79bf+1KP/WQJKRs1BrY52jPv0ajWSRWJFw8X+DIgHB4ObgJDBkhfB97ahRs8BJZSkWBYQoSVg3KFYxkmiiAxwoOmURAPhMwOmrVK+4KDNtFVuP0KEFg2ziOJJ+XVMtqri2WA8rBwio/OdvCtAyMmUn60zlmqjaW4VAqSWzXoC8LTz7OpxZAJbR4ZKeJZakY/r5UldCXLEv7CCkBExlFmAmLwUEAtUPgOGqs/f2wfn3d4++BbUsKwQFg/Ouwn32KNv41T2iWOylEi9Q99GZXtu8GtEfitC4YYuJznfo3DcjnwPOVgk/Ra0o/HJVz1aQdJxa0q/i0q/a0G+zxuYW0/LvlALRnNdf7r/VQhn7J0Go/Go1mEdiYVvHykePiSh+Z60MGHsIQKkM3inCmxxhxk8zINNO7PQbNGUJhEZAhiqDi23ihZHBAEkUSzxM8+qjS4HddVfwrigRhqJSBwlDNXztnqguMTrE2m6aWdLCCKkGxRt4sIQybtOMxU0tSEDYrBkp4nofluiwbMfB8weioJLfOJp0oIzEoyySjuwX5lE/GDLAsh8FBNd4wVAa/76u0BynVx5+uBciJpfwL9Ig2/vcp2vjXPKFJSrchbwadFwDtGv6ddgHaPf/ddgJarwkCEC1xlAYhCUsZ/w+Mtqj8JO2m4d+6AIg7jX/GN4hLNrafmy+xd74dgfZFg2WBlDyyP41/jUajWQT6TDCsMqFhUwkc0rKMqFXxzAS2aSJmZsDzMIIJcqkUDAxQCoYwgaQbUE1YmKagWFRJtgnTQwDltEOpDONjkE6pJNvf/s4gGp/kmU+eBGBnpQDOQjVSJIelTCo1E2QK2w4IZmZIJ2ukrQDPMNm12+GxIMuqwyMmxyPsBCRMyGdCXFlD2jYIgREZDAwKgsDFN8AyIGEEhIGBYRiUSjA9rR4VyaQy/rfU9qO2v2a/oY1/zROWFDZhIKi1CdjMp/jTjVbne7dFQXt/sY2uDgCGCTIiiCRjlbiwFzhIkMxV6Ylv3MmbbxjNztvbLKTu022HIP4wYYg0DLZE+yn0Rof9aDSaRWCFa2CkUlAuY3oeSaFqrEhh4PkQeJAslRDlMmSzRE6CyHKpBQ5JR02NqZQK18zlVOGsZL+FiHyy6ZCRZSYrV0LgC1wrZOMREcG6Psx+4H4omwubWHnLIFEukMhk8UIDQ4bY/gRhagBMm6AcUatFPPaYweCgobaRUVPkYF+ICAOiaoRdLWK4eSKRZHoaQJDLRhRLJpatchXSaZicVIa/YUDNk0zKA6Sqr/b871P0E1bzhGW5lQaaofDd1Cx7kfpsbdfeV3wu3jFotc/jfAMpm43jir4AG9OOCrys1WZ78ONX+wBiOaHW+KKFig50qg0Q037MMMBxqJg23v7SfWvPsO720mg0mnlY25dR8jb1+SISNhWZRCBJlKdwakXwfZXfZJqIbJpyzcY0DcoVQSQFUQSjo0q2Mwgkj+4wKfkJBvIhKVnENUNqnmB00kBYBrm8QVFkex7jUWaAEALx6Dac8hRWUEU6DkatwlTN5ds/tEkmDQ4/HO6/N6RcUom+hgHlwGXMyyPSabxEFjOokrPLrFwekZHTGFFI3q3g2CGlUtPj7/tqB6Ac+exnjZ8mvcz72vhfNLTnX/OEpc92kXXneGs8fifDv92WbA+zb6ejjn8b7QsBDAEI7ptsbrOuTDsQhbOTC1ri7ufctD1uv7VNu8b/QjsInbz/oRrLlqpk/4o+azQazeMjZycJhYUxNY7wPOxUCjsqwcQElpQqxDGRIHSTRMPLEXYSE8HYBHieMvxVzLwqiNWXh9ExycyMwHVdDMNhelpNn45rkLR8JicF5WrvJvVI6ENFtRcTE1Ctqm1j0yS1YoBTn+5g25KBAckRK6o4CZPIcpAYVKswNQVjEwb9aQvDtgjDiMAPSaVdRKmAMAwsWWOgP08kDYJAKf0kk/CgDvk5ZDng3Gcf/OAHEUJw2WWXAeD7PpdffjnHHXcc6XSalStXcvHFF7N9+/ZZ19177708/elP5/DDD+eqq66adW7t2rUIIfjVr3416/hll13G6aefvpQfR7OfSAkL2zTmFOVql/qMaY+aaRfS6eRk7xbuYxggVBxP/QXUpd+iSDJaD/nJ2ia2ZaqMMddtlmqcb1XRuiho/TCddgraP9hCx8MQajVkrcaDodl9DPsC7fk/ZNBzvmYpGDDBsQWj0zbbCxkApOchHRe5YoWKgfF9SKcpZpax+Q9pijWLmm8wNOCzYtgHGbHlwYihPg/bFlRrgiAQJBIqXt4yAlYOVFl9WIhlgV2bwfUKDLGrpzH2OSZmfz9bd7oUo6Sa+4MAWZ/fnOlR1q8JyaVDcq6P6woIA4zSDE5xjGw0xVCuRj4X4QsH4VhYFjhmgCyV1Gc0TYQhMHwPy5KkUkre0zQlBXpLSN4n9DLn63l/0TigvsnNmzfzhS98geOPP75xrFwu85vf/IZ3vetd/OY3v+Hb3/429913H8973vNmXXvJJZdw0UUX8b3vfY8f/OAH/PKXv5x1PpFIcPnll++Tz6HZ/6x0VMhP+25h689uUvrtIfHtOwWd+muvByCMttD1UMksjBWb8ZVH9KXBspsdmubcm7Yr/LSGBnVTAeokBTpfwm/ch21DKsWM7RLsT69/r2E/egv4oEfP+ZqlYlNQxipNsyxTYkVfRWld+j7S9wmdJJFhIqWE0VFs18R2BFNTgkpFYtkGadtj04oCf/KkkFwqpD9ZaRQIzqRColBimQIhAyjOkEsFJGtTrDEfJXR7M6o3GAFhIsnKDSlmvAS+nVQ7ESMrmcmvRCBJ+1MMmAXs0hRW6GHLAFOGjHs5AsslExZIVqfIiApG4CEcG9uQ1OwsvieRnocwDIRlIqRECEk6DSS9AyfkB/Scv485YIz/YrHIy1/+cr74xS/S39/fOJ7P57nxxhu58MIL2bRpEyeffDL/8i//wh133MEjjzzSaDc1NcWTn/xkjj/+eFauXMm0ynhp8IY3vIFf/epX/OhHP9pnn0mz/8gacxUW2u3p9l2BVu9+JwdD+9zTbS7qZGdHhkVkWDzYIv22MuUQGha+MJXR7vtNAz5W82nvrNXoby3s1T6A9sSG1nOdwola3m/19QSrWXr0nK9ZSoZL04iJccTkJIavqqeLSgVj6xashx/CSKcQ/f2QTJIKi/zJ0T7ZrCSTirAi1V66LrYZYXhlZLVGyvFJOBFTBYNHHoFaYCITKYJ0HkwDZ/kA0cgy7jWSPY1x+cRurFIB+9GtrLBGsR97GMplrKkxkm5EZLsqQ3d8HMbGoFgEzyMSBn39gtCwkZatzm/fDmPj+JFJKUrghwZBpHK4QmFB4OPN1LBNVQH4wWkd8nMoc8AY/5dccgnnn38+Z5111oJtp6enEULQ19fXOHbVVVdx9tlnk0qlMAyDc889d9Y1a9eu5a//+q+54ooriBZSQ9Ec1DiYiMiYpYbZST0zimYb8O3Ju52M+/lya+P6XLP6q/9bM4VEELGzpAp7JU0DlwghpNppCDuE7bR68du3I1ppDf9pP95pAdHp+vq9ZBSxJdjPxr9O+D0k0HO+ZqnIGxJLAJOTSCGQg4OQz6t5wzRV0PvkJNIwkAMDyL5+LFswkChju4IQE8+LCHyB4VUxCwXSMzsRkxNkEzUMIUlnBJs3Cz7xKYFRnkFK2DaVZ6efp9TDP7d8pYQ1U0A89hgin1dhn5UK7N4NU1NUaiZVJ6vGXKmo18QEzMxgzBTwJ2ZwixNqUZBKgeOoDeTSDIZlYtngWBLCUO1OBAGlmZAtD8GWh2HCry08yH2J9vzvUw6IhN9vfvOb/OY3v2Hz5s0Ltq1Wq/z93/89L3vZy8jlco3j5513HqOjoxQKBYaHhzte+853vpOvfOUrfP3rX+eiiy7as0HGlU/j9wcbh9DYh50kURQ0bOnWUJ32MB3fn+vpb7crWyNy2uegVtGd1tB7w5BICUEQAOB7HuMVr/EZjuxLEAY++B4yioiiSAXazFeMq5ukZ+sH7VQcrNPuQWufYageLEAhgtCue2GX6t9ML/1p4/4JjZ7z9wGH8NjXOeDn81AqIYtFNYF7HsJxYGCgYWhL04J0Cooz4PmEwmDXVIiddRgwZwgiiESAWSiAlBjWDDMFFydh4HmSIBAsXxZx9x98jtowzsqhJI/NeD2Nf73hEezapR5CpZIKu4x3f3fsIJFMqoJixRlErPImhFoAOA62nMDP92Pkc4hCQeWNhSFMjGImi8hUhpphYTouIDBqVRJ5k34npCIqMN5lbPtr3tdSn/uU/W78b9u2jUsvvZQbbriBRCIxb1vf93nJS15CFEVcffXVc867rtv1IQAwPDzM3/7t3/Lud7+bF7/4xXs0TvPBOzFTKfX+oTv36NoDiUNh7DvrrwOJG3/2MwDiqP4/3g9/3H/DmZf2VN/F/jdjlg+AUvKa/Yae8/cth+LY76q/9gWZLGwZV6+YeA6db/y/A37nOCqUp1ic2+DBB3u4+8N7MNLZLCTpoOf9Jzb73fi/44472L17NyeeeGLjWBiG3HzzzXz605+mVqthmia+73PhhReyZcsWfvrTn87yAO0Jb33rW7n66qs7PkjmI1x/AmEyhfnQnYRHnDA7OfNgIAwPibGbwIm5EaJINBzc7Uo9re9bvf7dFH1anRGd8gZmS4g2Pe5SCoLA539/+hNOO/0sfvbYJBJImIKThoZJOiE2wWwPfmuoTjdpzk6e/vli/7v9Hl8XhuCp5K9rySHjD7dE/2bC4sz8DXot8qW9QAcles7fRxwic347KRny54kAUd91JZdTHvUoUuL2k5Oq/LrjqPOuq+qslErqWCyEL6WSxVm+HKpVvFINO5cmqAVI08bJJZpzfRhSw0VGIT+pyAXHnw09nuFKpG1jPfaIul+xqHQ7V66Eww9X49i+XY3NqVccy2aRhx2ONC2Malnpj05NIVNpGOhHlMvUKhHGcD9WwkGGAYGwsSMPUZ9XAyn58Y554v0P5Hlfz/mLxn43/s8880zuumv2Gv3Vr341Rx11FJdffvmsh8D999/Pz372MwYHB/f6fplMhne9611ceeWVPPe5z+39wrru7pz3BxtP8LEPGmmCwKFe7RyYm8wLs8N3uhn9nRKB24czdzEhlcynlMgIAl8Z6sVaiKyPfVNfAtcysUywpGzq6rROfK3JvO3hPPG5Vmkiw+i8KIiv6RYOFMc0WRaTmEivw5Sw2P9mFuqrV+Nfc1Ci5/x9zCE29vW2xClXVBiN46ifUaQMfttWxr7nQbms5sByuXkfy2qGQsbzb7EIQ0PIgQRBsULSLSIcVR+AKFIx+qaJYwds9yIwMwuO/+jx3SQyrpIOyufZWU6TW2GSmt7ZHJNtq/PDw2phUiioamOJhJLwDEP1+VwXOTjIOAP0ZaYx+1PM+AlcDKSQFKYl/QNpMraHCAPGvai373Rfz/s67Gefst+N/2w2y7HHHjvrWDqdZnBwkGOPPZYgCLjgggv4zW9+ww9/+EPCMGTnThXUMTAwgBOv3veA17/+9Xz84x/nG9/4BieddNKifA7NgcGQlWwk+rbOJa2x+TGtdnV7LkB7DYD2azvlBTQ0/esGvRAS11RxjtsqTYnPwxImCauKjOJ6AHXaC3bFN+8k2Rmf76T533rNfInCrR/Gsrhf78pq9gF6ztcsJYeJCPr6VB5TbEgL0VRQy2SUIRpF6tzAgEoAnphQx+qFv5iZaTpaajWcsIxTqykvve+r89l6Jd/6QuKBRH9PMirLHtuqdiSCAMplhtIB0+YanGAH1tS4WpwMDam5OZ9X46lW1cKlUlHqPqapFgFTU4hCgaFkUu0WDI7guon6MAWWI/D9CN+2sF2Te8emFxyf5onPfjf+F+LRRx/l+9//PgAnnHDCrHM/+9nP9qpgi23bvO997+NlL3vZIoxQc6AggKRhNSbfTqo87aE/7bZ0e+Gu9kUBzBUdiA1/w2CuoV1fJews+WCaJE2Ba4i6AsM8Kj6d1Enaj7UWK+im7DNf2E98fRQRRZLHogNoOtCe/0MWPedr9hYbSdI2lVEdh+94nkrurVYRfX3K6K7VVPhPLDGbVPr6TE0hy2Wo1RDJpFoYZDINlR2yWbU4iCIVouN56rzvE5omY+b8OSwA+cIktu8rL/6jj8LICKYwSB5uYhbqOxP1mgRUq2rnIZEAw0CuWQu2hRgbU2N69FHVaSqlXmFIlM4iaxGmqSoAWxa4ZoglIsJAMl7zl+rrf3xoz/8+5QB62je56aabGu/Xrl2rCnE8DrZu3Trn2Etf+lJe+tKXPq5+NQcWg2YCEHOM/m7vW738rcZ9fC7+2Rre06nAVzsN1Z5465jGngBH5pIq9rK1g/li9bstDuYz+PeEenzUhBch92dhr1Z02M8hh57zNYvBYY6LMGrK4i0WG/lMOA5y0yYiN4kxuhtRrSqDPwhUfP2OHcrQX7kSmUwTTU9h3fV7FXOfSKiQG9tu7gqkUgSHrcb8f79HrF4FiQRjFR+chefQ9Y88oMZ22GHKwDcMRDZD4tEHiCKJKaW6Vxy2VCionYVkEh55GCwLWSgganWpzvgBVd9JcMrTBKkBpVRU38hwUhbCjNhe8Jb4L/A46MX418+FRUN/k5onDMNmuqs93UnLP/7ZKgXaro4pRHPnt/261p9RBFHYItfZRVf88HT9AdJtoO3HFlrFxMZ/p4TfVlrPt7YLQwgCHvAen7Gl0Wg0+5vDky5FI6sMdNdtem+qVcT4OH7ZJ6rVkFNTKvk3CJSqjmEQJtP4hoOx/VHMsVHCY48jzOWhUEA6DnJ4uPEwmBj1eehhi5uqf0p07/3I++/nXmn3NMaVUd3zXpcalevXIysVjOkpzLHdyohfuVItDuJdgGQSXFdV6PV9Je1ZKKiQoFi6NAjUZy2VcIRPFEkGcx75dIDvSyoVeHBygaRbzSGDNv41TxjMwJ6jxtNu7Mfv219x207e/3Zd/9a6W/ExJWEs1LmWjltNateABHLujTptIbQm9vZi3PeyHdraT6xhHoZEQcD26ADx+kNzNbaEBV8++MEPIoTgsssuW7xxazSa/YYB9CUNrNAjqNTVfYaHleFsWYipKRI7H8YcG1Wef99X5/r6wPMwq2WEYRAmUuC6GLt2YtRqyHRahQetXoPM55GGgZtx2FbsY+ujDtGGDURr1zGWWliNKhPUsDceqYz7vj6EaShjf/lyJQjheWp+LhTgjjtUbL8QKqRnZARWrFBx/vm8WhzEuQuuS+Q4+Jk8fiILGExMoJR7ilOkalPYpXEm/QO45kMv874O+1k0DsiwH41mT+k3XYQUeKoq+5yiXtA5abc15KebpOdsKc/ZRn88J1kWIAXIeqVcQEjJjNecbDdmHUScdLZQWE8vIUHtbeNtina67S74ygM1Lg0OOD/AEm7vbt68mS984Qscf/zxS3YPjUazb1ltgzQtRF8WY8c2mJpUcfVhqAxmx1Fx+6mU+t3zlLc8itQxy8IqTkEUqgVBEKjk2rEx1cfWLcroHhkhvW0bZ256DI42wOpjd6HUk2G6cfvDiP40rF+vQn9270Zs2waZDDKRJOo3MJJJZfw7TjPm3/PUQyZWK1q+XM2R9XwDGQT42QFKRh7DFITlCMsEI+ni1cDwKjziJ4B5JD73Nzrmf59ygD3xNZq9Y7mbIpVqhj928ua3O9yh+y7BfDKhs4/XpT0jCTJS27JRhKgb4VuL1cY1h6cTvanvtN6km9pPa5v2wbfSvtDoMLnez56rpxysFItFXv7yl/PFL36R/jjZT6PRHPSscw2cagHPM4hsF9nfrxJ0+/qUsW9ZysiP9f9LJZW0a9tqjqxUlJFfq6lkWsNQv+fzylEyPQ07d8Ldd6tFxbZtKuH2vvt4oMdQ+hWlKeXNb80Jm5xUD66Bfvxj/oTIMJETE011olRK7Q6Yprp2clJdF+tZJxLguERukmzCwzIlWavCqiGlMDdWSjAa9HNfqTr/4DSHFNr41zwhyAin4YHvVNQrpt0x3m7wt75a++mk8NO6ACBOlzWMhj6yNC0eLaqngmNAwrFmZw+3dtY+oE7nOtF6Pg7pmc970qbxHwrBzgNtA7DXsB/A8zwKhcKsVy1OhOvAJZdcwvnnn89ZZ521rz6NRqPZB6QGBqFUIlPaiWkbiEoFVq+muu4owlWrkbmcmveSyab3v1xWC4B4B2DrVuV1r9XUyzTrxnVdfadUUm3DULWbnCQsV9iZ7lt4fFGAm63XABBChfFks2osnodwXdzaDIZjI1KphoY/yaR6PzWlrrVtFc6Uy6ljtRqhm8R1wDIhnQiwEwZUK1CrkUyAaUuqHMAhP7DkoZ6a2RxgT32NZs9JYOF7AuF0VtpcKLYf5iYAd1L06eZcRwgl2xk3qr8Knk8oVdXhtSmLuMJi1xVI6/tuSj7tOwftg2pNSOgkJdrap2HUQ34OsAl1D9R+vv71r3POOefMOvae97yHK6+8ck7bb37zm/zmN79h8+bNizFKjUZzgLA8aeP5BnY2j5iaUNV9HQd27CBKDzEVJUjWIlKx5r9hNBNkx8aUIR9FzWrAQaDauC4sW6aO/eEP6ngmo/quFwSbyg30ZJRuwlO7CMmkOjA9rYz4TEapDcVhm0Gg5ujYk5VIIA0DBgYQVt1kKxabykOOg5FwqQQ2YSQQIiKZSGDkbGQFRCiZCQ+CIi467Gefoo1/zUHPcitDFDXj/UHNIZ2M9db5pVP8fuvxTjsHcVtlVzeN6jjGv4EQPFxoeqBXJS0VvxkPolNITyc6Gf+dYvu7hQZ1i/ePIiRwT3iQVv6s8/KXv5xPfepTs465rjun3bZt27j00ku54YYbSCQW1uLWaDQHD2vTCVJmDd8TFCsJBphEZLMQBKR2biEVhs3Y/UxGedyFUN5/KVWYT7wYcF3lXV+5Unn6azXlnV+/Hh55RP0+OKgMeeChsLewyZUzE5Bw1W5DLqfGEO8yJOohodmsWmgUCmpcsYc/DAn7hzG8inoEFArNBYBlYciQRFCi5qQRGJTLEIQmSTsgYQdsmToIjH/NPkUb/5qDnn7bhbCzwR5FnR3Jrb+3VgFudZR32mVs3UmQUiAjiTBAIOra5BKEgQS2zDRjLJOGmK0X2kl2sxPtnvv4A8X0Yuh3OmcYRJFk7ECdAnrx/AuB4zjkcgurbNxxxx3s3r2bE088sXEsDENuvvlmPv3pT1Or1TAXs5S9RqPZN0jJcFQjNPqw0wZi0GVywqCvWsAYH1cG//S0ipWPvflSKkPbcZpx/obRXARkMupnLqeM9XqBL+m6PGqtwagKsjOTTMscj65JLTjEVOjj7tyhVIM8T4XrCKHyEfL5psqP76uFwOCgmuuTSVUHIJ3GKhfU54iTl20bggBZqag2widBjZp0iaSgWoVq1SYipBge4CE/oD3/+5gD9Mmv0fSGK0wc02hEM7aH7LT+3jqvLJT8C+qZsFBRL4lARqqdHxkUpkEYgmrgE7YY3KK1gzj0p917P59ST7cwnvbBd6kvMGsRUE942y3NeGQHFnsQ9tMrZ555JnfdddesY69+9as56qijuPzyy7Xhr9EcpPQFHtbuSRAS4Tj0GzVwSpDKNGLiyefVvFcuK8O+VGp6/X2/oZUfptKQ78dMOkjDQBiGSgSuVtXiIZVi8PDl3D/Wx6NVgZMsIsXC2vlHRhV1v8nJZgEvIdS9K5VmboEQaoxhCK6LzGQgkoipKdWmvx+EcjSJXI4oioiEhTBNqlWJiGySCYlrh2TcCN832Fk5gBV+Wull3tfG/6KhjX/NQc1KR3ld2pNxoXuSbiudrmv92S3qhrqCvxAgkIhI4hgRg30Q+LBrujT3wtZs5NiD317Qq5ux300adL5dhHgh0H68Hqt6f+hCh3XEE5FsNsuxxx4761g6nWZwcHDOcY1Gc/BwRDaJ2L5DGfplpdXP0BDMqIRcEomG5z4OoSEMldEdF9AyDEinMcKQKJsl6sshS2W2TvVxuHgMtx6HL6QkmTY4auoBvKTFvRbAwmGEh1eLSqPfMJrJxMPDyFweMTba3JGIPfT18CMfi1oqT8Z1oFRCWBaVZD8JK0QKEJ6HNEwIAoTpUK4YmJbEERGWX8MCHihqlR/NXLTxrzmoGXCSCObaxO06/900/Dsl+LYb/3GRyPbrAWQkMQQNpR0RhtgGPFSfcM04pChOQmj1+HfS8I9/9urhiAfZKQeg005AfWs1QDBWOoDFvnQZd41G0wMjw4P4XgV7bIcy9KenVfhOPSyG0VEVVhOH+biumhcnJlRsfSzpOTmJCEPMkREevrfCQH/EUH+AsX0G6XmIZBJqNcRdv8dduRInCngsSi84PjcKcRMulEpIywZDIPJ5kJLIdRH5foxiQTll6oXHZK0Gff0I01HJy0iE61IzE+zaHpITM/RnVVKzXasRJdNEWCRMkKUSoW1gWhZ+pcpMcJB4eHoJ+9HPhUVDf5OagxZTCiyp/gm328rdNPu7JfO27jh2q+IbLwBmCeaItptZFhUM/PqhtRmVDBbF27ytg+22zdktfKebkd+pXfsrpi41OnogVfRtZw+kPh8PN910E5/4xCce/3g1Gs1+IWMZJAgQlkGUzjQrPMaKOvHvtZpKkJVSvbdttVPwyCNKacfz4MgjYdMmME2qmUEefMggseUe7EpRSW8ODyt5TteFapWZ6SJhD2GTmUoKpEQODrLbXsnDiY0UzZyqKrxrJ8bMtGpYLKrFyMwMYngYBFhehXRtAjE9DeUyjhGRSoPjCjBNVTTSMBAyJGkFpGqT2EaINTmO2L2b7VPFpfvyF5sllPq8+uqrWbduHYlEghNPPJFbbrmla9sdO3bwspe9jE2bNmEYRscq8F/96lcRQsx5VasHzy6LNv41By19IoXniUYtlE5e+1j6HhZW0WyvhTWfjS6lUH10SL59tGWbdXXSBsCQEtma8CvU5N1z4m98XfuAO32I+fqqT6L3dZfC12g0moOCI8wIUa1gehVEqa5+k8spdZ5USu0EZDJKuWfVKli9ulndV0plyMfSnWNjROUyUgiOyIyybqiInbJVUu6qVWruHBpSC4fRUR6yFvb6A5h+jofFGkQuR0lkcMwIx5ZEplWvB2MiBweR2azKPUgmQQhEpYL4/9n78yDJsvq8H/6cc/dca6/qnu7p7tlnNEJCM8AMGElhwSAwNthWiLAUI8sBQgRoQYRDvAOSAmH/hOVQwIAQSMg2WCGxhF+MkfxDiJHjFSCBMDOaQSDBbN3Ta1XXXrnn3c77x8lbeSsrs6p6prunq/s8ERWZee+5956b3Xnuc77n+T7f2oaeXoyNoWwb0W4xU+5SqtqISkU/E+p1RK2G1aojCwFWrxKwsm2+lxhxx2c+8xne/va38+53v5tHH32Ul7/85bz61a/m1KlTQ9t3u12mp6d597vfzQ/8wA+MPG+lUmF+fn7L335ykjP/Mwz2LaZkQKfTz58alPrsJOmBrZL6QROdYecYzLdVqifryemDlFI8sa4rKwqg6GnyL5IEkRX4yk4wKjk3u/Co2clObXZqDxCGRMBK6ow+7vnGXhN+TfKXgcE1jUNri6TFQ0jL0iS90dDkf2xMy38aDZ2s67rarz8ItMTH9zWhHxvrV9htNEhtn9Qv46ycp2I39ZhdKqGiiGRimrPnbcLOYbriMMedaNf+2QIOz1l0GgGh73HoQIjotrGRCBy9CtGTIyWtLt3iFEWvruU/UcRm5co01X7/1TESJbAaNV1Fvuf6EwuLpBPjiY6+l2KRbpLS2k9Vfffo9pOmKbVabctmz/OGWjwDvP/97+eNb3wjb3rTmwB48MEH+Yu/+As++tGP8r73vW9b+6NHj/LBD34QgP/23/7bDl0RzM3N7dzfKxgm8m+wLyEBT9h43nB//kEMWwkYlRgMozn11mMVSapIldCafilpJ4ow1Y2OFuz+onB+BjGsE6OwF4I7mAC80wAqBEvpFVjYaxCXQfZjYGCwf+GmCZ4tsZ45jogiraP3PD0GZlV7Z2fhwAHSsXHSOIGzZ/WEYGlJv25s6Ha+D5UKUqTIJALH1gW1hOh58ldoRQ4zUymFmSKlw8GeQqc3FG0Oz4QcG1snbMbETsCymqTuTZFOTKBKJUQcIxoNbAt8JyVxPCgUUJatVwMcB6IIkSSojib3yrZRjQZJrFDdLh08NsQ4bbdCikAlCWfCS/5PcHGxF7mnEDzxxBNUq9Utf8NIPOgK8I888si2QpD33XcfX/va155TdxuNBkeOHOHQoUO89rWv5dFHH31O57vcMJF/g32JccvHdcVmXZad7DgHo/UZD8/G9mHR/VG5AX0ohBBIFClAkkKScK7VH3GPlVwd2RnVsZ0wbHVgJ2efPAblRbnPSgi+G13hxN/AwMBgFxy1EkS9rQl/t0u8vIY1MbGpjycIIAh4pjGBV7CZLHVx5k+DJbV15uqqlgZNTuoI+soK0vOQYbe/nNzpsLiscAsWfiXlxBkXgWJDrOrS7btg2isgoi5xuYpIBUJKJsdSrKSDiBPU+ASiUUf5PspxkRvrerWhWERFEXVRpmTHWFbUG8cFSZiQCpuu9HEcSIIxAk8hHUUY2yRWBSzFU6tLl/qf4HnBLbfcwje+8Y0t20ZF/ZeXl0mShNnZ2S3bZ2dnWVhYeNZ9uO222/jEJz7B93//91Or1fjgBz/Iy172Mr71rW9x8803P+vzXk4Y8m+wL3HAKyKFHrMHk3sz2Xs+oj9YyCu/WpDHThMB0CvGlqU24+YKhURtPiyeWtDLkRKoWILEcraeeCepz24YVtBrrxWCe9ePgQ11hXva71X2Y2BgcM3ikO+ggkDbXEpJqzRDVEuZsB2E48DCArTbHLn7RbRWN0jrMSrsIptNHekHVJpqst1qwdgYUakKrTbO8rJu43nMzwuCGZ9ZO+Jm/zRSpfx54rOn1dPIIrZCCoWYNElJbRdh2XQ7AVYgEEmM47qkCOLUwq5UkUmMEIKkOonTVbC6RCogHZ/C6jTwQi1jUgWPWsshbGj7fz8AP03odAVJGtPaD4W98tij7EdKuafCjlsP2/pvpZTatu1CcM8993DPPfdsfn7Zy17GD/3QD/G7v/u72yrOX6kw5N9gX6Io7aGB8LRXcCtz5smT/nxOwLCI/igr/QxZjq4QAiGVLuar0JpSoJsktCJN7g95Epmm/UJfSbI94WCvfv2DbfJWoTvpkwYnC0qxkBpSbWBgsL9hpQnlk8+QHLsRsboMY+NUOmvQ3NAR/VJp0zdf/P23KGauP0Lo7c0mFAokh4+QugFuYw2CAGt2hnS9RtqqIy0LNTXNHWqJjaRD2SsiZUA7UXTre7PPHBM14sjHqjd0onGiEI01ZOqQ+gGub6HsAJmmyDTRhNTzII6xZMpq22FJHuHAWAu7tYGyXWjUIAxxioqCU2J11cFxwFMdZKdFICXHW88hyHQVYWpqCsuytkX5FxcXt60GPBdIKXnRi17Ek08+edHOealhmIDBvkNFuqSp3JTOZzlRGbdOtQJni13nsEj+Tq4/o1YH9LFqs51KUu3WIATncvlfR8v+1ij/qIvlkV1op0nAYAbzIEblEvRmRE/F++Anv1erT5Pwa2BwTeLQ6nms8wvY336MduxyNpljyTlA96Y7SO64U0t+qlU4cgRuuEEX9EoSkrmDtCYOoo4cgZkZ7CRCjlWIp+dImy3E8adJA23NSRRBvU5y+BjudBWxsgSdDmdrrT33U54+SSBDpADZbmGtLCJaLaRIEXFEHCnSMIY0wbGBtFeALAwhTSmWQArFcrNA3Zsm8opQrZLEinbq4Xlw6FBKoSBopQGdYJyWVeZ7rX0W9YdLMua7rstdd93FQw89tGX7Qw89xEtf+tKL1nWlFI899hgHDhy4aOe81DCRf4N9h2lLV/Ud5MijXHl2Q348GZQHQd8JaJP4Z+cVaLs2qX9GT59fzjZT8gIUYb9i42CHdyrwNQz5DuU7Nthm2FJIb3ukFGvpPrEiM7IfAwODEbihW9fjWhxTWjuDl7Zo+JN07CoqLVBudZAzU4ixMR3ln5yEVgur3cRxC0TCxZEpIo6xTz+Dkhbx+BRUqli+jbr1VpaPrzGRdIhPnqVYtlHNFtTrPOFP7ar339x9+LD27rcsnV9gO9TtMZbWHMoVgS+htuExW+1gEyNSRSokslAg6caEHYW0JJ0OxLGNU47BdhCVEo22g/IsGg3FRDWi2ZIsrQlcP6Wb7mPyvxOeRcDnHe94B/fffz9333039957Lx/72Mc4deoUb3nLWwB44IEHOHv2LH/0R3+0ecxjjz0G6KTepaUlHnvsMVzX5Y477gDgN3/zN7nnnnu4+eabqdVqfOhDH+Kxxx7j937v9y64f88XDPk32Hco4o0sgjsYsd/J/Sf/OrhtMMiQl+tbUpNpqRQqScGSRFFMLYwBOBA4WJYkSh0EQwbhfKeGEfZBDK4ajFpBGJUk3Nt2Xpmfu4GBwT6HUlRcWxP6NIVuF6fbYjyNgJ4FZBLBmTN6v2Vp/3yA5WUc39dLxa6r9xcKiDjCOX1Cj5fFIgQB1cOztNebrFqTtJ44xy3+Bl3bpVPc3Sb5urLPWUB5HoQhHbuIKlRxHIHsSjxfEMWSqp9ynROihE07tbBVRO18yPi0he06lERC2rOUFkKgHBfVbmCFXWYLEFsFvIqCdsS4nTI+Izi+0b5kX/1+xBve8AZWVlZ473vfy/z8PHfeeSdf+MIXOHLkCKCLeg16/r/whS/cfP/II4/wyU9+kiNHjvDMM88AsL6+zpvf/GYWFhaoVqu88IUv5Ctf+QovfvGLL9t9PVcYNmCwr1CwLFxb9hJvNUkfNhEYpu0f9TqIQbnQtuNyDQUKwpClTp/k31T1cUQMUhGNyiyGPkkffM3fxAjt/p6XN3I38Xhnn0TTTcKvgYHBCMx2mzqyPj6uNzSbWiefptq603G05CcM2bSDC0OdwJslhWWJYZal5T2tlrb07HS0TWi7jWNZOJbETc/DzQJRH2c+qMAe5PQHXE3+60mBiUIKdsB606VUTPE8xYHOMsqyoWGBK5FxjOv61CKP9diHZspY2iFULsUSuGEDy7aIlKRTGGdlrc11boduKIgjqKQdaHV1nZmWxRVv5TwMlyjyD/DWt76Vt771rUP3feITn9i2Te3yXP3ABz7ABz7wgWfVlysFhvwb7Csc9IoE/maO7bYAujWwHDtYwCuL4A+2G7YCkD0n+tu0Q0CqBIK0vzxgWTx+fnXz+HHf1drNrAPZCaTcmqybf91JwjPY0fz27JyjXIR6xD8CNtQ+IdSG/BsYGIzAjVFTj4G1GtxxBywuasLf0Em1iRKEhTECp1fMy7J021pNR/UnJrQcs9vVKwCZ3WenoycJnY7OEfB9VLUKjY6WTZbHeHK9zW7sX6Iox9riud6ysCIozAqKtoIkxfKAahVr4Zx2KhobA9vGjkOKroBJHzuJSJttmrFDiKAUFKk0Fwljh+8uuLQ7RaZmHZyki+06YBXAsQlTaLX2UWGvPPYy7pvnwkWDIf8G+wpl/G0BgjxxH0bsB9sNHjtqJWCoNAgFqP7KABCnKeuhJvsznsQSvYtkWcfDOrZb1H63KmPZOUdtGzhmYT8U9jIwMDDYBVO+A6mHsiywbcTMjLb17BF9y3WxVULUjbFbq4huV68AZNGhJIHTp/VqQaHA5jIy6AlBL09KLa+gPB+rVSPupqTdDg1vfNf+HfZt/LgBQKstsdwK64uCiRlQ0iYlBSmQs7O6JkGSkPoFUClep47thqhCgIgDKsJCAWvrkuL4JH63zQtnEjqxQAkX14qgsb65inGmsw+1/gbPCwz5N9g3sACRSJpN/TkLvGfcdzAokJfu5G0+YeuKwU72n8POKaXQD4w4gTRlqZuT/AS2foDkCxBkB2ZLEMMKdw1OBgZvbBjRH8SwfZZ+eDzR2WfEfy8RHuP2Y2BwTaFqge0VIQpR4xPEODiNdSiVUI5D4hWxWzWc9VUdwY96Fmz1uh5TqlXqDUVhfArLteDECahUULUa6rpDCN9H9GwhVaVCI/Yp1OdxW3VOj03vqY9zhQqqqaPvR6urnFmf4LpqHVlLONmYJIwk118PRc/FDgJEkpBIC2X52JaFUIqTZwTVsQKFIlgqYabUJZU+0pawvoZXKOkwlEoQWYErpXiqFV/kb/wy4hLKfgy2w5B/g32DcQqAGFqtd5C8D04IBh2BMmScfNSYkyQgpRpYXVDIzPTfsnhqsbm5b8q39QnjEYNwnugLsXV1oH+Bre2zjg8eO2pf/jxRRIxgQ7nD+3Mlwsh+DAwMhuBo0dNjQxgiV5ZxF+b1eBEEiGqVTiRIEhtPSkSlonMAgkCPha4LjQbOwRnWynOMN05hCQG+j7As0jjVVXaP3UBtJSSgTSlIULfcQhJFHF+sQbSb4F/htSMiSxNya3WRg4fHeerkGDccgyKCdLmDvdGEwIKeJXSKRCSJTugNI8oVSZzA8jJYlo2UNqID1VIB4VvEqYNXsIAE1WkjkoSuZdNMu5f83+CSwZD/ywpD/g32DSYcnyjS8s6dknXzTj3bPfq3u/qMapedTymQm9u0vZxKUwSQKsVSR0eXxl2J7Tg62qRnDaM7Ofi3W7vBTu6k8c/a64pkzO/jYJCBgYFBhklho2SiBYxBoMc630eVSog0pZDUYWMZDh7U43CtpvX7Sm0mivlJE9/egCTuP0yUwjp3GmXbNK+/nXU5gTj9LUoqxrIEiZCsRLsn0h5yJePhEmeTSQA6oaRRtzh8SM9DJsdT5gohdqOFqIXQdqBUwi05pN0QqUCkKVOyRYqgGRRYb/kUCjA2BsQp9Y5Psy0ppArLsikXS6ASTm/sY+JvcNlhyL/BvkHJ0f9ddwsMD3LlQTI/bBKQdwzKF/nSHFugS/kqRJZc2/PvXw37kp+bq4E+0HFGW3EOSnsGlyoGpUKjjh2FQYcgpXgy3MWU+kqDifwbGBgMwIsjiqsLdPwS/vlFROBDFJEUy3QK07hRA6dd104/589rj30pUY5DWq4iF84h4lhLgJJEJ/tOT8OBA5qZt9uIRgPr/DlOLl7P9ISHSGIoV1lJBbSjXft4XamMFaVMdut6w+Qkgewy5qQUx1waLUnXqVKaKRC2IlQnxPMD7ChCqgRsD9VuI9IEgaAcROC4NJqSblfhexaVYky9YROF4JUF6zUB2Dy+trpj3654mMj/ZYUh/wb7Bo4jthTcGkSe9+YLAo6SBGXHDEM/OVj12wuByizieoPU8bW+s8K077HpBJF1Jq/VH+XsMzjrGLTy3GmCMOx8oGVHaUqkYIPy8Ju8kmHIv4GBQQ43ttZxOhs4ExHceIPOrTp/HtltU1+LGOusYbfWENnYsbamE4JbLcRshfToDcj6hpYDWRad1SZWu42zrIszUixCkuDaKXfeoah1rycQS6go4olaAmJnuiRQyI5DMj6GXF8DIJAhjlpFrCV4rotrWXRUkcVlnxSfqUARxrpEvW33HlKFAnGUECqPOBUIKfB9iCMFIkI4krlZaHUgjRVrawLHT+mOWg3eL9hL0MeQ/4sGQ/4N9g2E0MGa/Bg3OFbkk3vz2/J/mcZ/VPJv/pybOQOp0lGjbAIgJCpNOdsMAShaNqmyUTLSqwOD2E3aM6zdXiL9g23ysx/Qhb32+TPBwMDA4FDUJPYK0A6xV5/WK6yHDiHW1phL50FEcOiQtvw8c6Yvv4wiwuUaKZLCyjn9EJEST8Y0Zw+TpF3cuI1cXgbfx1pdZmJtBVUogO+ThiGLlHbt34yKqcZrnF+fInDGAFAbNZLrDsPGOpYQiE6HIBDMWk1q7iQt5eNECQkptkwg1JImKSRRpHA8SRQL3eUkAgGq0Qa/QMHRE4TrroOTG/vU3tPgeYMh/wb7Bq3W5ri9Sd4zB81Bic+gZj//OSsMNsoBKP++b+mpNp0jRC/Zd6MdklHvA06RRFm0U4EnQiw1JJE3O7FlbdrJbXZgsKPZxXfDYJu8vZFl8d3uPpP8wN5lPyYKZGBwTUCmKcUoJJ2cJLILsLGBpRSi04GZGS3zqdX0Q6JQ0AXAwnCT/Hur83SsInE7wl5c1LagSlGanqKRlum0AyoTHWSnrcdn10UUClAus54AzV27yM2+pNBdp+AlRD05qLQtoghW7MN4UjERrBM7HucbAUVPEicCZVm02jqFIfAVTtpBJAlhqN18/ILFwnkYK9t0ujERZVRHUAoEjkpJleBEYw8dvNJhZD+XFYb8G1zxKEmHNlvdMgc9+wd582BSb3ZcZuc8GPkf7QYkNPFPFcq2dVRf6aTfE41+gtWE7dJuw1hFIeIExQ6pYXnCP4j8JGBYx7Ib2Wli0LvhSErq+6WwVx5G829gYJDDkbCBiGPk8hJesQQkpEEJKSXizBlN9EG/tlragrlVoF2YY3a8gbc8T2B3Qaa6IrBlkUzNcr5WYjpZwGp1obYKKiWaPgDFIo7UbmnHGyn03Ht2wnilCI20XywMUFNTCNthfRG6oUVrcoJiIaUbW5x9Aq67Tify+p4iivWCxeSUR7upWFuD5RVJpSqYm4PlNQvXteh2YXpaIR2JJQRhktCKrwJ/f0P+LysM+Te44jFBgbPoVd6MvA9KefLWnjvx6jTVqweDk4fsnFtXAzQRV6lCqBSRFYlJU5SCUy29ElC0BAcnEtbqimZdUHYVQjI8uWDQgzRNt+7P2gxL8B1WHyBfAyCD44CULISpvgcDAwODfYyj7RoIgYgiqG3oQdzxaHtjBH4HnnwSMT4ON92kx8SnngLPYZUJwm6RQ+vH8cJFxPd/P6ysQKeDfe40c+Mt0rPnCESqi355HralSFtN0vo6tNucue62Xfs37tiEKsCZcHQuQrsNgKrVkQfHqVQFp07Bt/5eUCxaHDyoUwzabd28VIJiAQ5ep7BVTJo61M/A7Jy2tj53Ttt+zszooT8MdRF5y1I8Pt++xN++wdUIQ/4NrngUhfaoH+bOkw+M5207B7l0ti2Xq7tlXyYFykOIXgOUjuJndnFxTB1J0mt/Q8lFxiGTxWw5QY5eisjOk0Xws895ZIQ+69Qop5/BxODsWCFQQvBEZx8TfxP5NzAwAEhTqvNntDNPrQaWRXrwOlpWidLaOcTycr+oYqej3X5mZ5lSiqCUEjz1PazWmt7/ne/A1BRMTkK7jXV+HqsUaAegbldPME6exFpehm6XWlBEHf6+Xbt4S8GmGTpEloPnB8hQB4Y6EwfZWJRUx+Dmm+HUKVha0t11HK1KajTgH/9RcOgQTE0JfN/NzORoNGBuTitOx8agUtHznnZbsLiob+m027p03/3lxF4i/+a5cNFgyL/BFQ0Xie9qkpzp+we1+jDcFXNwMjBI8q0BOXxfCrSVNIu85Ma2wbY5tdzY3H8osHWpecdBaKHmcF1SHjsl+mYYtSow7Iaz115xsThJ2Uj26c/byH4MDAx6mG3XkFEEq6tQKJAqECrFL7mEjQD30CFd5XZsTA/qjQYsLSHabUo/MAFhW7Pt22/vTwCKRS3/cV1N/Hs1ALBtzciDAByHE0du3VMfndAlDLusrDgcu8FiNakCYNmSsTGB6yqiSHDkCFx/ve5GNl+p6UUNnRuwolcB1tdhfl5vW1qC2Vk9pymVoOJ3aMcuvi9JSHly/SqQ/ICR/Vxm7FN2YHCtYEoUUUr/4POJvbA12D1sQjC4bxAZR88mFX0INicAQqB6FxKWBe02Sgie6eoB15UC37ZQqSJVEsuyEWnSj+5nIZy9JO8Oa5dPctiL7j8ModvlvHAxP28DA4P9jhs6Nc2UpYSxMaJDNxA2I0pnjyPW13UUf25OC+brdT0+Nptw8qTWyti2nhBk3v8zM4SFKioo422s6PNef72+xtqaZtm1GipJODE+u2v/qrbg/JrPgXKT736nxQ2tM1RuvwUAW8aESueDtVraltP3tca/Xod6XVCp6C54nn4OFYs6wg+6OydPwtmzeuVASvB9j24nRQnFmZpx+TF4djDswOCKxrgVEMc6Aj7o7ANbif2gBGiQ9A/6/mfIB+mF2BpRF0qhhATVq9hbKtGJE8JU6yxvqngIKRFKIaPcQJwlBg9WHBuWzDtsVWCwc8N8/4edw/cBeLKzjyPnxu3HwMCgh6l2A8plTeABb/kc3vy8/jw1paP0zaZeGZif34zaEwS6eFejoVdE63V4/HE4cgQnsIk7MWmzjWw1tPh+akqH2nvXaUmHdHB5eAhuTNpMHUkJVyJ+7MV1ZF0gFucBSCJF2e8Quw5RbFEo6Oj+DUdTpsZinmy4dLsAIjMmotnU5H92ls32i4v69mo1eOYZQRBYSAnnyw1wLtU3f5mxl3HfjPkXDYb8G1yxkAh8WxKPMKrPVDHZhCDPqzMMjhWjSL/+3NP2Z23SXsQ/TbYccLred/k5VPS2k/BR+vz8a3bMTgW/hiXzjjpPLo8gThVrqb+9D/sJRvZjYHDNo9BpYk9MwDPPQLFI0x1DOQElfw3V6UCaIjY2dNR+clKz5X/4B70ScPCgFtn3pJA4jg6ONJuIRx7BCQIdWs9Yd5rqldM4BsfhzOz1e+rjwbCFs3iCorR0QnKlgioU9U7bJo0T0m6DJ79XxCtY3HqrIE0EzZbAssH3BRsbmtgniTYrajb1+zjWBYgnJvQQH0V6MWNyErAS0omrRPIDRvZzmWHIv8EViykZoJTYYs8Jfb6bd/7Jvw6TAGXv83m0g/uUAiHRrj55DMh3nq7pqL8loGjLfpQ/O8nmyYYMVHmyPtiJYZOB/ARg2AQjf74oAiFYTA1xNjAw2P+46fxpRNTSmpj5eQr1Oq3pI0TtEFtKuPU21Pe+i3j6aTb1M9WqngyEoc4DGB/Xx7fbegJw000Qx6SWjXAcbRVqWX3bnSRBKcWT1x3btX+BJXDWGwhRAhXq6/i+ngQAqRI0VUCn43DwkMT1BJ0OlEqSpZrLxoYm+qWSVifFMRw/rnObsy55nt5ererhvljs5QgUu7v0zsBgNAz5N7hiMWUXtm3bHq3vvw7LrR3moDl4/FBOnT9JRsCThK6Cds/m53Dg63aj5DvDKv2OkvyMWjHIY6dk38zKSCm+p1xGFxnYBzAJvwYGBsBcuw5JrMPhrovwPIqtZS3p6djw0Jd0YGZuTpP8Wk0z6See0GPj5CTd645BpYJXW9Z5Ae02HD1KvLzB/JF/wuH1/40oFhFJoqVB1SodIQkdd9f+HfU8xOHDsLCgWXovczdBj18WMe3I4clnHKJId7tc1o+GTkdH8G1bq5Oy2E+hoJVHxWLf4MJ19a1NTenLKKW05Odqgon8X1YY8m9wxSKwbDbdNhkezR8k/YPFc7M8gXwgftT5oMeZhdBFuvIR+t5ywkIj3Gx7qFIgTAUO6eZxW5YYRpH5Ufado5J4RyF/nh75j4H1ZB9W9c3DkH8DAwPArdc0Y87C4mfOaHacWXr6Pjz5pDbC/77v05H+OIYf/EFN5EslnNlpzi57TC0+jd9s6ki/lLhHjnD96lkolRDVqtbX9HIJ5ueu21P/DjQ3WJ8+jHfzDI4rsGur0G4T9YLyStqbtp5S6q5PTOhFiWZTv/q+vr2g5zi6vq5vT0q44QZ9niTRt9Yr3E6YKCJ5FUl+wJD/ywxD/g2uSEzYHp4r6K2eAluj/Hmenc+FHbT4HEz6HZQKZe+VApnNNHon3JwA9CL4CvjeuvZUFsCULwhji8SWWHFX608HPfcHkdfn7wWDkp88Bpc9lGIRG7p7PLeBgYHBFQxRKunxbXW1H8kJQ0gSkqdOsPGiH2P8hgRx/rxmzq2WJv9ZAm+5jDz1DIfjGLo1fezEhCb5ExMIp1eUq5dTwPQ0qlrlybEDu/bNiyOqtXnCwKPrlKilHtWxMZxiGdnVeQZhKEhTQaGg5xbZcL6xod9Hkb58obfI3W7rRQzQt1Gr6cmB00vqXVrqLUKXOlC5yF+2wTUFQ/4NrkhMCj0aStmX22d6/cxuH7araLJ9w2pf5dsPRv2l1OQ+I+9CKRSgeo0EECto9pyHDhccZBzhW+lmYjAwPJq/FwxL7B0m7xk2acjWhaXkibWrRAdq3H4MDAxuu03b3XieJujj46S+j4hjrGqVwkRAq3ALBQWitqGJ/cREv2hXva5D7FmAJMuerdX0PsvSuQJC6M+FArHt0LR2t9C5KWkjOh28Z57Am52lMDZJp1vmyTMu45N6bMq6US7r55iUfY1/ucym5j9J9HOrVOo/uzxPz0eyZ2Cn03/utSavksJeeZjI/2WFIf8GVyQCXMJweOXd/LZsoBzU8OfHiMwWP78KkJ80bHXjVFvl8r1ZgUoTFjv9ZYhjZU+/Gebjn5fiDCLfwd1kQcO2D54/W0WIIhKlWI2vgsHRyH4MDK5x9Ma6LIIfhptWnGLuAOmhw8hWA18IqC/B3CykiV4hSBJqt91N4fQT2OfP63N0Olo3U6tpxn3jjTAzoz00s9WCnt3OguND9dCuPTw0VoB1S4ftpURurJHMjDN7QBKGehxuNvWps+JdlYqeDPTqlTExoYe7bGJQqehuxLEe2h2nf/ubzzE7peFGu/RuH2Iv4755Llw0GPJvcMUhkBZCiaG1rAaj9sN0+/m2gxw8LwuC7L3a0h7QyV9RpBs4DkiLp9c3No8bdyy2JSTslMSbpv3RexB71f4PJi3kX5OExUSwvzN9DQwMDGAqUayBHntXtY6eNIV2G3HmNFYSa0Zs25q8dzokxTJCWkghKMouncoMUqXIYlG3yUi+bcOJE5s5ARw8qCtp9UT4x19wz679s1EULKkrb507B5ZFik3aaBFUS1QCTc6r1X70P3scBIFO9HWcfpXflRW9XQjdxRMn9L7pab3g4Th6ouA4sNLtQumSfv0G1wAM+Te44nDIL+IJsSnzSXJ5TcNcfrLXwWh/Lk93C+EfXAnYPDYT/md8vqctxXFIlGK5V9V3JnCQqM12WzqXJ/g7Re+HTRbyHRzElpnJwOSgdyNPda4S4m8i/wYG1zRuPPGPPAykE5OaCS8uarJfKGgmfVYn6gKa1G9sIG66me6tL8DbOI9s1ih26yDRxxw9qsXz3/ueDurU6/Dtb+uweqmk7T8tiwTBSlDetX/XF31EuKGPveMOaDQQcYrnWqhOi0RpYwjbVgRB3y261epbd4ahntMIoUl9NqTbtt6+ttZPUWi3taGQ64J3a+PqJG5G9nNZcVX+HzLY35j0fETS/53niyxmOV8w3PlnMAc27wQ0WA1Yc2ylt2fnyci7ZemBPY4hTVmLAbS//81jBbBkv3hMZis0OCMZ5Tmax24SoOyms7aDkiDb1pMTYKl+FS0FG82/gcG1CaWYPPE4HD2K+PrX4YU/qEPozzyjJTvXX6/H3pMn9fbz56FYRJaKBOvz2v2nUOgxZQ/OnydNFenh67FvvFFH6qNIM+6DB/XnNIUgYBVrT+PKXFBElSTMz5MWishymW4oaXdtHNUm7Q3FGxt63lIs6gWMSkVr/Tudfl5yrabbBoF+tW247jrdjW5XdzPT/iNSokp8Kb715x+G/F9WmPCawRUFC4GlJLa9ndAPOvdkGFXUK28FOnjcTnafW8i144DnbRb2Apj0bD05yM9KBiP5w/RGw64xTN+fHwCHJf0OTiqUYiU0Dj8GBgb7H+MbK8jecq9YXdHOPNC3xFlZ0RIdKTXx73S0J6aU2g6n1dJh89OnNckfG0MIONOZopV6qEOH9MTAtvUKQJrqSsCnT/PkHvwSJIqSbdFKXCiWEGtrqEaLQIZ0QsFKq8hSW68eSCnodjfLFNDp9I2LMq//pSU9STh9WpN9IXQ6wtiYniiMjek4lOOAPRYaZafBRYGJ/BtcUZiSBcJQDI3uZ58HCfsQBcy2hN5h7j5ZxF9k10lz5LrT2Yzop8C5lg7ljHsWtmBrMYHBTuzFq3+nol7DJgZDCD+WpZ8IQvB4Ldx+nv0KI/sxMLhmcdO5kwhXF9hKX/oy1Noq4uxZPSYHgZbvtNswO6vfr6zoVYEnn+wL6b//+7WkZ3ER1tcRYchR6yxEMSyta7adJP1E4pUV0ijm/K3Tu/ZvyvLw2msoJaDTQfoebKyhNmBu9gBPng5IerGYJNGnX1/Xr5muXyk9CRBCrwbU67qtELpNlvRrWX0nIM+D+tVW2CsPE/m/rDDk3+CKwrgMNlUuWXGuDHllTSb/GXT+yVt75hN+B4m/fs05+6TppoRfZMS62wXbphb1991S8fWbJNk+68jCOVln8q8ZRhH63fYPy3pWCsKQRMHS1bYSbMi/gcE1iRkbXa0XUJUq6smnNIE/cECHxxcXNck/elSvBhSLeqx++mnNsjMXn3PndMh8aUkL51dW+u1aLbBtknaXuDiGVZ3kqbFbUHsYd+xmmXg8wvehOz6JdfoEjiUQnocVdrjlkKIWOzz1lO7a2Jj+iyJN4DN9fxz3h7luV/v727aez4Ce32Ty1DQFZErsXUXSzkHsJehjyP9FgyH/BlcUAmmPdMkcTPbtmdxsk/VsS+Slr9DZxrc3xf6CKASkwBE9959eVP2ZRt9Tecaz+6NxNkkY1BDldfx7WQV4tug9QVZSAezzqr4GBgbXPLwkxjt6hGhpCep1LEsgx6vwzHFN2o8c0X+ZTc63vqWTdb/zHU38220dzY8iTfqDAO68U78uLWk2PjenJwKFAv+wdIDHVl9AozhLvbnOzYd30/0oVMtiYQWmJhU4iu70EUppHUsl2vWn2cIva4lSqZgQRs5mgeJORz86eqlkm979rquj/dnEICvqlU0QhIC2ZSQ/BhcPhvwbXDGYcnwcR2zLgR0WPB/07B/mAjRMzz84MRD0L5IVj1RK4XZb0O2ipORkKwUEJUvgoPodSJJ+pD+fYDAoCRrEsATfUUW9Rk0gcjf91NVW78XIfgwMrkncVF8Gl/7YmWn6DxzQOv/1dTh0SI8Pp07pfU8/rdu3Wnrsrde3BmFOneoHaU6fhkZDrxjMzHDnjOKr/+8aFkvc+rYJ0l2CKHMi4XClgYxTzp2wiD2HYtnimY0qt92cIJOIJPDohHr8ajQlUipWVwWNhk5NiOP+3CQr+JU9e6JIz088r+/tn00UGhNX20A/ACP7uaww5N/gisGMXdgco4dp+vNjwzAP/0GrT2vIOJ6vDrx5nNLVfKUEz1MoJVBuGQoF6jEkG+sA3Fh0++uwGUEdRdp3wl5WBIY5++S39/T+qVIsxFeZ5mev5N88CAwMrioc8iScPqUJ/bFj2tGn09ERfdfVEfwDB7S+f2NDE/1OR5P5jDFXKnp1YGlJD/Zzc/q4Rx/V40qxCGGIEgLRbfO2H/kOq5UZ/sraXe9/xPc46KyRNNtYk4dZqOlTl0qCRttGKRvfB8fW8py1NUGaChxHz1uE6Hv/l0r6lhxHdyvzkCiV+pWAo6hXmsBRJMFVUr19FAz5v6ww5N/gioGPu/k+C6gPRviz12GW9/n3eYvPbPtQtyAhUEJoz36lEEKRpBZJaoFwOdmobzY9WHD6kh/P234DOxXmyu8fZQU6uNSRrSYMWn1miGPWoksoKzIwMDC4TJAqoTA3C+fOapE8aO1+p9PPnA0CePxxPS5OTECrpWuy33wzIrPSWV3V4/PMTN8BKEn0pGFsTE8aXJeuFbBy60uRKL7dkcDukfXK2AQr8xbFwwexuhZlBa4VEyWCjQ3JmbMwMyOYnNTtMz//ZlMX7MrbfoIm991u3/qzUNDznEYvr7dS0bcQ2UbyY3BxYci/wRWBgrARShBFoyU7eQxW6R0MlGdkH4ZPEJTK+ftn/FophEqwVEqa6gnBqUYTAE9KfCn6IZphxH2wA6P8RYcdt5eIRr59bxLydEdwVTr2GtmPgcE1hcOtOkJInfGajZWLi5oRK6VXAVZXdbi8WNRR/XIZ5g6weuOLGPvu97A6HU38pdQsutwr2CUl3HKLPt/Ghg6/HznK9552sXyH9nUru/ZvUiqKAbTGJvjuU4qJCUVgxwRpm7GKy8yYJAwdTp8Wm/GazKIzs/fsdDSxF6JfbNhx9C1HUd+lFHTOc/ZoqLtXsctPhr1E/s1z4aLBkH+DKwJzbnHz/RZN/oCsZ5iGP3sdPC4f9R9cPdiyopCmSAGk2sFHoPBsQSdVdHv2nzeUXVLXQ6YxIsveyif+jpLnjIruD34eVtV38PisTZpCFJECZ9Ng+Be6n2E0/wYG1xyOFl34zmN9hjwxocPlGTteWdHsWEpt7ZkkEASIZ04wub4GtQ0dKvd9vW98vD9GBwF897uaWfeyav2n/5Efu13RXV7m/5U/sGv/bogayA2XKd9n7FCEayWoKAEvQLRa4DjcfjSmWPBZ6RF439eR/fPn4cwZfTtS9m9LCN0mWx3wPL0vMyYKApCWouNeRVbOo2BkP5cV5glrcEWgLDysXHHFQeXL4DboE/hh7j555Lf3+bPYysOVQkiJyM0KzjU6m/sPBzYyiVEIVEb8h10gvy2PwYIDozKah1l9ZpH+DJYFts2G5aLMWrCBgcF+h1KMRW249VYdDu/0xl7b1oT/8cd1xD4rmSulFtGfPq1ZdKEAd9yhS+NOTenJw5kzmj0fOaLbHzmi9/t+X7r5rW8xXxzbUxfn4i7J8iqyVcfr1hFJgiz4yE6bKJV0E4tE2kxNC4JAj93drtb3O47uShTpS2crAu123wHIdfXtOY7Oac7KGIjASH4MLj5M5N/geYeFwEYOte3Me/vvRvLzeQI7KWnSVHv8K6XHVIUAoVcA8uT76ZpOsLIEFC2BUCmilxuw5QL5TsJwq89BC6PBycNu3v/5zusb4OnwKtX7m8i/gcE1hclOE0um/ch8qaR3rKxoD8xsLG02+5mxMzM6un/smD5mYUEz6CTRKwC2reVBpZJm2UtLegKQCe+PHoUk4fHYg12G0qKKsH2PpXWbjZrHzRWdN4CUqCQh9RzwC9SaAs9NqVb1ca2WJvRTU/qSUvYj/Wmqu5nZeRYK+vbm5+HgQf1ZSlhMr3KXnwzG5/+ywpB/g+cdU7IAiG2/+8F81wyDAfRs2zAMywHYMolQCoWOrEepRdRNsB2LVgj1SJeYP1JwEMMSd7PJwrAODBb7Gjwu+5y/mVE5AYOTgzQlTVPOqKtQ8pPBuP0YGFwzuFF1NevNjBSy8c7PFVVMEi0FysLk1Spcf70Onfu+nggsL+uJQKWi96epZt9hqJn4E0+wabp/+jRRGNK87vZd+3cLMSKKmClGTNeXYLGrw/q9EL4deKQ9hx5HJFQC7faTDe2epycArZZ+32xqKdDamrb/VErfXrYo0VMRkaaKWqGzS++uEhjZz2WFCa8ZPO8Yo1/Vd6ff9iDXzoLg+e3Z+DFMXj/sNU+3pdB11Jsdi42ob6t2tOSyBbvNOHbKVh4V2d/JKSiLiOSWRWrCJjVrwQYGBlcBZtIQJic1qZ+d1WFy0My4XNYk/9AhHa2/807U3XeTvPge1Pi4bvvMM5r4l8t6nGw0NIMeG9NkXwhwHNTkJOrW2zSzXlxk3q3sqX8HOvXNkL1qNnQl4HYbLItO4tBtxaysaKtopNR5YejLzs1pwt/t6i612zqqPzam9x8/rhcjmk29OLG8rIsTnz4NT56KjOTnIuAjH/kIx44dw/d97rrrLr761a+ObDs/P89P/dRPceuttyKl5O1vf/vQdp/97Ge544478DyPO+64g8997nOXqPeXBs+J/L/vfe9DCLHly1FK8Z73vIeDBw8SBAE/+qM/yj/8wz9sOe7xxx/nZS97GYcOHeK9733vln0///M/z4033kgQBExPT/O6172O733ve1varK2tcf/991OtVqlWq9x///2sr69v7v/zP/9zbrzxRtZ6afNCCHzf5+TJk1vO8/rXv56f/dmffS5fgcFFgN+r6jsq5zWPYZL5rN2oBOEBg5zeNkEcC1IlQEiU1A8I34qoFCKeafTdFSrWgA4pT9Z3i0QMrhjs5u+/W+5ATzx6Ir2K5+35yc5OfwaXHWbMN7jY8OIIZ72XIZs5+Fx3nf58/ryO2tdqEIakBw+hbrwREQQwMUEaFFErK5rsZzY6QhAfuQH1fd9H4vr83caNJHMHYHKSlcIhHudmzszdxcnZF/HtyuFd+2elCm9jfdOLU1SqrB38PpLpWZQQyEqZhVWP5WVN4LuhpNHS47bv69vJ3Hzabd3FZlM/SopFvb3Z1JOD7Jm1vg5nz0I61r40X/qViL2M+c8i8v+Zz3yGt7/97bz73e/m0Ucf5eUvfzmvfvWrOXXq1ND23W6X6elp3v3ud/MDPzA8EfzrX/86b3jDG7j//vv51re+xf33389P/uRP8o1vfOOC+/d84Vk/Qb/5zW/ysY99jBe84AVbtv/n//yfef/738+HP/xhvvnNbzI3N8crX/lK6vW+X/rb3vY27r//fj7/+c/zZ3/2Z/zN3/zN5r677rqLj3/843z3u9/lL/7iL1BKcd9995EkyWabn/qpn+Kxxx7ji1/8Il/84hd57LHHuP/++zf3P/jgg/zP//k/GR8f39wmhOA3fuM3nu3tGlwiTNo+liW2kfZBiU72PkNG5jPSPzguDEqChsnwNyX7CgQpUqfzAikrXf3/7WDBRWZLzsNsg4bp8fNLEYOdymNUdnIeA77+hCGq2+VkchWTX0P+r0iYMd/gUuDmtfOIbleHuqNIa2EyI/xMIN+T8qTlKl2nhKrVsFaWsJYXEUrp1YJyebNkbuu6m/naMwdACqYPWjy1OkU6NkHl6BRTB326lRmsIwfpekMiTgM4FJRYs6aZ71ToJBJhW0yIdaxGDZGmeN0ah6c63HwkpFJSbNQES0t6HD9zRkf7Wy09rAWBvr2TJ/V8xrb1Ysf6uo74x7FOZ5iYgEpF4c5cI3p/uGTk//3vfz9vfOMbedOb3sTtt9/Ogw8+yOHDh/noRz86tP3Ro0f54Ac/yM/8zM9QzZI3BvDggw/yyle+kgceeIDbbruNBx54gB/7sR/jwQcfvOD+PV94Vk/QRqPBT//0T/OHf/iHWwZbpRQPPvgg7373u/lX/+pfceedd/Lf//t/p9Vq8clPfnKz3fr6Oi984Qt5wQtewMGDB9nY2Njc9+Y3v5kf/uEf5ujRo/zQD/0Q//E//kdOnz7NM888A8B3v/tdvvjFL/Jf/st/4d577+Xee+/lD//wD/nf//t/8/jjj1Or1XjHO96xbcb2i7/4i/zxH/8x3/72t5/NLRtcIsw4BWxbD4LDfPkHVwPy3Dt/DGxfCcgnAGdOQpaVbVdIqcm+VMkmaRfAWrtvq3Zj2dNrtvnkg+xkoy6e37ZbpH8nDLuhNKWRKFKj2DO4jDBjvsGlwnVri5CmqGJRy3gmJjRLBk3+v//7dVQ/irA3VvC/9y1ErabH33JZh8+npuD22+G226BcptI6z8sOncZaWuSwtcDhI4JWaQpXdZmwNzg608JLFvbUv1uritahWzhRmyF2C6hSWY/F4+N6UhLH2N0GTtQiaYd4ntqsIh+GmtRnlXrDUKcoZKYUWf2yINCvvdPRagFujBhSpf5aR5qm1Gq1LX/d7vDqx2EY8sgjj3Dfffdt2X7ffffxta997Vn34etf//q2c77qVa96Tue83HhWDOJtb3sb/+yf/TNe8YpXbNl+4sQJFhYWtnwpnufxIz/yI1u+lPe+97288pWvpFAoIKXkVa961dDrNJtNPv7xj3Ps2DEOH9bLc1//+tepVqu85CUv2Wx3zz33UK1W+drXvkalUhl6vpe+9KW89rWv5YEHHng2t2xwiVCynGGS9qG5rvltwwLqw6z1R5rtJGj3HvQBIo4RcQxxzPH1/lLrhNPrmONo0g9bI/vDPucxqjOjMJhMnF9N6N34ias56p/BRP6vKJgx3+BSQKQphbCjWXEUkYxNooICamJCN0gSnbBb6Wnzo0gL5mdnNWPuRY5UsaQrtccx3H47aZoSCYdwbBrl+6x2i5xsz9I4s4b49t9jPfYIJ0/vTv4tpSg2ahwaa/DS29coVV3EXO/avecFAHFMPQmwij6Vith8VBSL/bzjbrevTLJtnd+8uqoNjZaWdLupKT33GRuD4OA1FPWHva34CsETTzyxKf/L/t73vvcNPeXy8jJJkjA7O7tl++zsLAsLe5v8DcPCwsJFP+flxgW7/Xz605/m7/7u7/jmN7+5bV9248O+lLz28jWveQ1LS0vUajWmp6e3necjH/kIv/qrv0qz2eS2227joYcewnXdzWvMzMxsO2ZmZmbXL/5973sfL3jBC/jqV7/Ky1/+8t1vNo9M+pG932+4AvvuCwvShERt7dMg2U9T7ZwQRdE2p5/Bv3y0P/86DLZMehMA9PeSFc5q6cj/mCtJ04S0Gw+fWcDoIl89RL0ORfnaAPns5mGTg3yb7PxxDJ0OCsEJWQFxGf4dL9X/md3Ot1erT+P8cFlgxnyuqHFzz9gHfT/U3iC2bR1Ft214/B+Jl5eJe0W+om5XE/2bbto6uCeJDpuHIXgeqlggmT6A9fTjiJMnoVwmHBtjORrDc1JECk88IinedBj7299FlIqcvuHIrt/NoaJDXFvrB1/SFBVGiKBfkldNTIBlUV+PWNwQ1OqSsTH9zErTiG5XL1AUCpr812r9xeNCQS9uLC3p2w/DzJlOkZTr8Hz80z1f4/4eK/zecsst27T1XuYSNQJi4FmhlNq27UJxKc55OXFB5P/06dP88i//Ml/60pfwMwuuIdjLl+J53tCHAMBP//RP88pXvpL5+Xl+53d+h5/8yZ/kb/7mbzavOewL3ssXf8cdd/AzP/MzvPOd77zg5Rnr6cewCgX9/vhjF3TslYQrqe8R8HcX0P7hhx+6VF3Zgmz4qQNf+IedWu4dDz388MU5UQ+XczX4Yv+fsVrXWERrH8OM+WbMv5Q41/ujl6gNaBF8L/L/0Pi4ZsTz8zuf6Jln9F+GxUXg6S1NpIRvHYdvFQNQKfLpR3ft35ne34UiU7WtrDzEysr2/b3cYUCT/gMHts41Aazjz+LCFxFX6rgvpaSSrQTtgqmpKSzL2hYkWFxc3BawuBDMzc1d9HNeblwQ+X/kkUdYXFzkrrvu2tyWJAlf+cpX+PCHP8zjjz8O6EjNgQMHNttc6JeSLeXcfPPN3HPPPYyPj/O5z32Of/Nv/g1zc3OcP39+2zFLS0t7usZv/uZvcsstt/C//tf/2nN/AJIbf5AkKGAdf4zkhh/sS0D2C5Lkiuv77e4kDva2fJ5Bh8skiXjkkYd40YteieM422Q/w47N5w9AP6ieRVxUb4NQCTJNdRQH+Mdah6cbein3VXNFXNTW72tYlD+ffTyAKAx56OGHeeXdd+MMRjXyCQ3Dov75z3GsC9Lg8kTibP8yLwUu0f+ZpFHfucFeI/8GlxxmzDdj/qWD4jVrp7CiSPevWNSs2baJikUeOn2aV4YhjuNsav4pFHShrjDUTkBRpHOyMpvQlRV9nrk51Ng47ZbC62xgOZKoWGX5VIeNtk04E3PS2pn+COA1bhdZLoHnkSYJaVAijgVPPQ2VimBuNkUlKZ3QIk4gjgW1ml6lfuaZh/D9VzI56SCl1vFnt9pubz5yKBa1JMhx9LAXRRBW6oSV5ylI8nyN+5fA5991Xe666y4eeugh/uW//Jeb2x966CFe97rXXdC58rj33nt56KGH+JVf+ZXNbV/60pd46Utf+qzPeblxQeT/x37sx7YlT/27f/fvuO2223jnO9/JDTfcwNzcHA899BAvfOELAZ1w8eUvf5nf/u3fftadVEptJnTce++9bGxs8H//7//lxS9+MQDf+MY32NjY2NMXf/jwYX7hF36Bd73rXdx4441770RWVXDw/X7DFdJ3C4EnfaQU28j7IPnPYNsOVi9HIL9/mBHA4GQga9/fpvSrsiFOwLJQCE4tae/mgiUoeK52kshXCBsl8cl0+dmFsglBL/PLsSwcy9pqPZSdc3ASMGgPalnguijgmQa65PDlxMX+P7OXcxnyf0XAjPlmzL9UmHDAn5nRUf/xcZie1v6WKyubYXEnSXCCQHv8Fwo6RP7EE/3xIQh0PkDGrjPUalCp4KYtKPqocoX2QoPrDjn4a4JvuDvLRACmXBe34CCSBJUktENJKCxS7E3P/sUlxcw0dLqwsiI2c5WzrzsIHEolB9ftD+WZxWcYatLf6dXwimM9f3EcRbMcPv//Zpd73L9ERb7e8Y53cP/993P33Xdz77338rGPfYxTp07xlre8BYAHHniAs2fP8kd/9Eebxzz22GOANjpYWlrisccew3Vd7rjjDgB++Zd/mR/+4R/mt3/7t3nd617H5z//ef7yL/+Sv/7rv77g/j1fuCDyXy6XufPOO7dsKxaLTE5Obm5/+9vfzm/91m9x8803c/PNN/Nbv/VbFAoFfuqnfmrX8x8/fpzPfOYz3HfffUxPT3P27Fl++7d/myAIeM1rXgPA7bffzo//+I/zcz/3c/zBH/wBoN0iXvva13Lrrbfu6T4eeOAB/vAP/5ATJ07whje84UK+AoOLhDEKKKV/yKN+z4PkPb9t0MozTYcT/vz58/m2caxwZYKQAmVZYNl04oSox8NvKXs6FyBP+rOT5SuKDYv47+TyMyzpNz9Z2KFNO1GEypBig8sHM+YbXCrcYAOV8X7F3fl5PQYmifbChL5YPivUtbCg2XW+om+5vFm0a9NMP4rAtomlw1p5mknP4bPfHOe/f0Jw6IaEf/X/Wdq1f1OyRBgoXNUltAOEJ/nTz1oEBejNc2k2Bd1q3/in2ey7+oBWL5VK+lFRrWpt/9KSvo2pKb2tUtFDfbOpb932E5T9HFziDLbgDW94AysrK7z3ve9lfn6eO++8ky984QscOXIE0EW9Bj3/s0AG6NXPT37ykxw5cmTTgeylL30pn/70p/m1X/s1fv3Xf50bb7yRz3zmM1tMCa50XHDC72741V/9VdrtNm9961tZW1vjJS95CV/60pcol8u7Huv7Pl/96ld58MEHWVtbY3Z2lh/+4R/ma1/72paErz/5kz/hl37plzYdJv7Fv/gXfPjDH95zHycmJnjnO9/Ju971rgu/QYOLgkkZbBL2fLB7JzefYRh0+hm1b3DCICWbpFsmEUjJuXo/cnSg4G6N0g+zHRq0EBq8+G42n4Mkf7AQQbatJwY9k1x50btLApPwu69gxnyDZ4NZC03SfV+HvJeWNGsOAv3773TYDJnX63oCUCj0nR1KJV3xN441yz54EL73PX1sEEAQYAtBxW7SDSe4/XbBz/xbOPoDbdZ365wCO3JotSOUYxOj/aKvOyR4+GF9+bvv1qS/29Xddt1+HnKm+W80dJeDoP86N6fnK1kOcWZFPTmpt62KztbS89cKLlHkH+Ctb30rb33rW4fu+8QnPrFtm9rt2Q38xE/8BD/xEz/xrPpzJeA5k/+/+qu/2vJZCMF73vMe3vOe91zwuQ4ePMgXvvCFXdtNTEzwx3/8x3s+77B/yAceeMBYwD2PCCwbwXaFS16rPyxiP6z9qFpZw2pyAUihkDaQAsJCCQkonlzX66+uBN8eiOoPI+rZ52GrAnvFsBWAwUIHUqIUPB1dI1F/o/m/omHGfIPnCkdK3HKg2XHGmKNIM+m1Nc2OQev7l5c1s86Sf5tNza4bDc2YfV9XycolClMq6XGk3SYJE9JWh7uONHnhEclf1Trs5nJeEA6tpkRVBVFq0exIzi8J4hhmZnQBYiH0AoVS+nLFoj42DDfVnptDeebnXyzqba4Lx4/38wCy+U8cw3m3eXkdHa4U7GXcNwGfi4aLHvk3MNgNZTxUKpDW1qD6IGGHnWtpZQGgwfoA+f3544TQB6cK0lRgC4FIE5CSMFW0Ey27OVrytYtIJuvJ+4jm/UTzF8p3fJTv/7Clifwx0L9mtiQSRaAUoYK2+bkaGBhcBThWKdAVHr7d0cx4fV3r9NvtvhXO2prWxiS6CKOamkKsr+txcXpat/X9fubs4qIeN4tF0kIRFRSw0phCo0EsI6QAhKK5h/JGx8pFul14/CmHF9yZYqPTDqpVPS95+mk991ha0l244Ya+pt9x+l3KNP2Fgm6b1aKKIn1bQugUB8vSUqBOlFB9ye5Vhw0MnisMmzC47JjuSX6y/J98/mtenjNoorOXCP/g5GEQUugVVSEUqdK2YUIIFpvRZpvrC/ZoKc4wff/myXOThWHthm3P2g8in2isFGfSaywUZCL/BgZXLQ4WfaSAuNnBWlhA2LZm0ZZFWBpDTY/r5N9z53R0XymU66H8QLuzQT+8nqa6jW2TNFrIQgGZJqTNJqmUiGYTu1yGoMi5jfboTuUw5np410O3KxCWpFiEZlOhlMDz9CQgDDVxl1IXFwZtPNRo9JxG0UN4kujFilarr2TKnn+Oo+cw587ptpXDXaoX+bveN7iEsh+D7TDk3+Cyo2R7WGz/HQ/q/QdlP/ntg84++df8+baeR6CE6k00BEIpndSrFE+uN/U5BJTt3InyM5Gdovl5t58LQX5CMHgNy9q8qaeb19CgZ2Q/BgZXLQRQFCAcG2tqHEGipT1C6Eh/cZx60nPj6XY3w+hyaZG0WkV12oh6XQvo63W9vzcBUJOzRAgcK0V2uyyvKpzxwxS7a6TLGzyVeuwmqPelRRJKltf1Jc6fF6ys6MTcINDdPHhQk/hjx/QEIEk0uc8CVuPjeuHC9/uFu2xb73vmGW1alC3uBoFeyIgixfgdjUv51V/ZMOT/ssKQf4PLChcLCzmU5GfYbRIwGOmH4bkCg++zgdnKZEKpJtuJUqx1tbf/dQUXkY3KmS9b/gSDFkP5TgzDbjkAg+R/8FjLIkwVjfRazAAzMDC42jDnOTiEqHqD0C/iFIrI2X6gw7GhGjf7B0SRFtp3OgghSA8cQja+h2i39WRhZUXnAEiJXY5JUkjGxrHiGG+sxPyGT6F4HZaXsrqxvV7EIG6qBsQdBQj+/u/1okKlomU7Y2NawtNua4KfrVYvLekoPugof1Zw9tQprfMPAn0bUaSj/FLqPIFMFlSpgF9QWMGVW43Z4OqCIf8GlxVTVl/yM8y2M49h+v88BpOCBycLw18FoEm/6JHt1XZf8nOs7PflO4PR/FHR/2FynlHJv9m5MwxbLcgflyScj7J+XyMwbj8GBlctDhRLRHFKaJdImilCujhpm9RxkL4LjkuS6GCMmphASYmo1aBYRHQ6SN/XofJGQ48TWV5Az2JHVqtsdB2CWGBXXZoLkm4ILRXD7vb+TNsOpemYzlqb8EgZEJuWnYuLWvM/OalTE0AP4VGkFy9sW//lSw7EsSb4WdmXO+/sP0qKRX2+JAHK3Yv7Re837DXyf6GmGgZDYci/wWXFlBMgkuGOljA68Tfbl7Ud5gY0Kidg63YFSicSqDRFACfqnc294769Pcl3FAaJ/DDslCMw6hzZl2NZKKV4vAvXFPkHI/sxMLhKMVt2abUltqUolWPSJEAVXDqJQ9rpUko7yB6zTm2HdmmKZlsysXoOq1RAdLs6VJ4f3IvFTW2NEIKiExI643gbS9x47BC1hqCZtmAXyb8F1GsOlSDGGwuYdXT13mZvIeL8eU3sp6b6z6lmU3en3dYTgLGxfjpCpaLb+74e5sNQ5zXXanpCUK3qFQSlwJltjurWtYG9BH2k7M2UDJ4rDPk3uGyQCAqORSKHO2buZNs52HZwX377qKRfIbKqvlrvj5Qo4ExTV2SZ9GysvMY/u8CwpN7dMGoGM6rtoIQoSSAMiYGaKux+DgMDA4MrHFXXxrak1rsjiJE4DqRYeJYCy4ZOV0t60DlYqSWJIkXa6iAbNcTkpLb0tCxUkhIVqwglcUolLcQXAqvTRJQCovIUtiMoFmFhafdk32OOQEjJasNjY0MhpcCyNFkvFrX6qNXSKwCuq+U95bKeAPi+lvHkHxeOoxcoeq6jnDmj0xS6XS0FGhvT+2w3RRajkf0yMLjYMOE1g8uGcekTRWJHqc8wDHLtYZKhYSsBQ98rAIHqLTHWo/7Jb6n6/ah7ZtMwzJ1nJ2S5AMOq9Q7WDchvG9ZpIVhSFtdc1D+LAO32dwF43/vex4te9CLK5TIzMzO8/vWv5/HHH79EN2BgYDAM15cDQPVVlcpCxBEy7NBuQ70l6VhFVl1d4C1xfWxbMDfWwfEsbcGclcmNY0gTEiUJSxMkhdJmgTDpOrgr8zTbFmdOJdTWmuwlbepoxWXGWsa1Ip54QjA/r08Zx1pV1GppzX4c61SDNNXkvtHQ7VxXR/2z4WlyUv/V63rycP31et5y+LD+q1b188wbCy/dl75fsJcx30g9LxpM5N/gsmHaDVBKD5x5wp7ncYOR/GGceDDyP2wiMSxpWEf9e4Q7SVFScKrWF2dOFdytpD37GzarGHaxweXIUccOXmPU+YXgKeUOv+bVjEvg9vPlL3+Zt73tbbzoRS8ijmPe/e53c9999/GP//iPFLPqPAYGBpcUJXykVJTcLipOkcImjRWWUPgFybkFyblaiuP0ouCFIghJuw2B6yErFT1+1us6b0tK/FKHyCkhLJ92R+DFHYQtkQWfcbvJxAGb77YV7BJYF0BRCixHYYXr3HrzOMWyRRQJfB/m53X03vP6yb6Nhi74tbSkz1Es6glC9igoFrUjkOvqvADX1asBSvXPA7BSusYlP2Dcfi4zDPk3uGwIcLDt4ZK9Ye4+gxP9fEA4Q77I1+C40d+nnRv65xEgQKUpJ+o6yariSJzsIlkHR7nwZNt2cvwZdexgAnH+XHmpkeOQKMXytVLV9xLji1/84pbPH//4x5mZmeGRRx7hh3/4h5+nXhkYXDtwpCBuWbRcRUCKk3QgtMC2UdLWFpozEbHbQiRNvgvIjTXcyQlc2mBJVBzrcLnnkTTayE4LcfIk1uQUG94UjopZ6I4xUXWwRIyu4C44kbHzHTCGT70uGAs3sGyHI9Me+AU2mhaVCiSJoNvtrzxPTGj5jhBw881919HMvvP0af3Z83T0v9HQnycmtIxISj2ZkJYi9kzk3+DywpB/g8uCABuJ3Iz6ZxjmyJO37cxcN2H4CsFgQD0/idiyUqhykps4BqXoxClRby34WLlXKTLfuUzfP6xA17CM5VF+/XmMcisYMllYja5hV4M9uv2EYUitVtuy2fM8PG9nW4+NnjPIxMTEs+6igYHB3nGkHDDhhsStFBFEqCjSIZlOB6IYMTGF7LawN84TZ97+C/PQaW9a5gghWOqWqIx7OBMeYauILRUdt0zcUvhllxm7hRV1SeMI0ekSCl3Bfdf+2YKNuIjvdfGaq9i1dZRKKRbKhKGFZWniDjpx13E0sc8If6Wi5yULC/3hy3E00V9b04+SQkH/NRp6VUBKSL2QdRPQNpH/ywwTVjS4LJikuK2Y7aBkZycrz2EYPD6/UrB1DBEIqXeIHLmez1l8XhfYfaNmGB6xz0fod9Ik7WRFNmqJIjs2840LQ56Kr9GB7gI0/3/yJ39CtVrd8ve+971vx9MrpXjHO97BP/kn/4Q777zzctyRgcE1j0NFj0JJUHXbWGGoV2DrdWi3EfUa1vEnEVIi1tfZtNep13WWbM/HnyBgagLc+gry7Bn89UXkxhq+CBn3WrjdBvg+qefrSr/jYyy4we6dU4rrk2XKdgcptGsQ7TYkMbZI8X3F9LR2GJ2d1QQ+I/3VqibyrqslP1khMNByoCTRp1te1qe0LF0kLDtfK2jt3LdrBUbzf1lhIv8GlwVl6RHHehDMlk1hu+R9p993njdnx2XtBycA2bm2oUe0lRA8WdMWn64UeLbVr7neWxkY6fgzalvWsfzrMBvPUchuxLJIFczH1ui2BgD89E//NB/60Ie2bNst6v8Lv/AL/P3f/z1//dd/fSm7ZmBgkEMljekmRVphAc9VFAJ0pd6sQq9SiOPHtW1ONk5mGbGVCklQQDYaiIV5PTlIEigWkRsbyHarX5RxaopkbILUclEKnq7vrqefkQr7/DwTk6EO58cxqlIBx0EmEVJJPFcSx4Io2pyHIIRu7rq6y+22XsjIlKMbG/3Kvu223p49XuIYUqVYczrXnKeDwfMPQ/4NLjlsBI72dhuKjHMPEvu91vMYtkIwWPFXn1OiSBBCECtFM9bE/GjJ0VGoLPI+KOEZxG7R/Xy7Udvy+QL5c/a2bSjJNftEuICEX9d1qVQqez71L/7iL/Knf/qnfOUrX+HQoUPPtocGBgYXgBmZYIVthOPQVT7L810OzSUEnqcj9WlKtysIfFCdLirMFbxyHFhfRzYaUK6gwi7C8zSzbjZ19a12G8pl7eIWRcg4JBIeiVJshPGu/Ts2XkTF2pZH9PQ5KiiAo00gikGMUtCJHcJQcPKkwHX1pSsVRaEAnY62FC0UtCMQsJkj4LowN6cnChMTmvivrkJiR9fsML8Nexn3TeT/osGQf4NLjkkrQPaSbIdZcw5z7Mnz8EGM0v7nJw/Zvv7KgiDtuUMALDX7D5fDZb9vQTRKzpNhVCQ/f9yoycFOqwfZjfSsII6H13jU/yK7/Sil+MVf/EU+97nP8Vd/9VccO3bsop7fwMBgNG5Iu4jERjZrzJSKFG2JV19CdNrE1XGiygRpKthIJXZZIZZO6wOTRBN810U0GppB03s4BIHe5zjEhRLSdRCBT4MSSVth2TDf2FtBqBnPIj18hHrLwmpuUO6uIrod0mIRUl0NPkosbFsT+MzVB8ASCtdOkQWLMBRIqbt5/LieHNi2HubLZT0RaDT0tkIBzqW71x64ZmA0/5cVhvwbXHJUVbA5AA7DTrr//LadovuwnUdn2OTrKkUgAMWJjX4RmbLrQhJvJ/Z7WX4Y4c+/beVg2ORgWMctixQ4bWSgFxVve9vb+OQnP8nnP/95yuUyCwsLAFSrVYJgD5pgAwODZ41pCx1Vn5rCEikVu6sHX8tCxDHCtvBadUQrppn4BAvanUe5bt8ex7Z1uLxe1yxaKW2WH8dY7Q6JdJBK4Lkpp1e0RfI51nftW0mCncQIpagQEx2cJmp4yCTSOWK2hYxCAhETJwLLdbj5JodWWzvH2a4kiVNdiEz13OR6GB/Xk4XVVd3lKNIFwoIAklSxVjbk3+D5gSH/BpccvnQIw37xk0FDnQx5DpwPAgyzz89cgAblPfn3+k+h8pxepSjgfC/Z92DR06sBKle5N78CsJvWXw45brB9vuM7RS569d/rKaRcg/7+GfYq+7mAKNBHP/pRAH70R390y/aPf/zj/OzP/uwFdM7AwOBCENgWtmWB6CXRZuHznhez5blY9WVUq4XdbFIsFIgqHqwAcULbq+JPOogwJGl1kNUqolbTIfSlJT2B8H3ssAWpjRt2ODbpk0qLv1/YvWruTRUPEcdgWUjfw42aKEcQeWWS1CNJUgqEpNKl3hBg2Zw5K2i19LxkYwOSxMb3FUGgI/8dnU7GxIQeyrpdvc2ytPNPrQaJjKF6DTu6DWIvkf+LvCJ8LcOQf4NLirJ0EAjkQJJvPlE3T/qHSYAyjAqsD3MQ6u3tbczaCZAW6+2+p/INJVfv73VIDGrxh0lzRk0IRll/5jHM538Ap5JrfIC7AM3/XqH2kqNhYGBw0XF9MUBNjMPKMsJ1++b4tq3llt0upKnW2mfwfQCESvHa6ySpQpSrrKcVvKRFyfP6Cb7drtbUFIuaWVerSMeh0eqMSjPbggOlAFoNLSEaH0dYFqJWw/IErdCh3rRgvIRIoBML0lB3r9vVlp9KaTI/Pi5wHL1vZUWfO6trUyrpz61eXnKSgDvbZvdshGsIRvZzWWHIv8ElxbQsDpX85En7MIvPvWKQ+OeuoF/SFCkEij6pP7Xe19SMS4XIRvDdIv17sfHc6/5BGVBveUMpxTOJ+VkaGBhcHZgJfGIlsatjpEohmw095sbxpq0xQmih/Py8JvKZ1adlIbsdZKOB8jyELCLqNRQtRGajI4QOv1uW1tn03p9sxoCzY98cKfBdG7pakxNvNBCTk8jJSWSnQ6kgSIF2W9Bo6GMy1zrPg/V1bdtZKmlpz9qafl+v67bz87pbpZK+rWpVW4UqFN81en+D5xGGZRhcUpSku43oD0b2B606BzF47LB2g22UypkoKKWjSqmW/JzsJftO+g5CWttPtFPC704TgZ2OyzqWlwnlz9O7gTaSyJTfMMu7BgZXASRQsgVJN8Hp1LX2RWnyK5JE/84zVi2lZslJokk8wNiYDrHHMQKYKK5rkb47oS10Vle1lMjzSJMUsbGBWFhApSnPVK7btZLR4WKgV4SLRbBt2nWF6gh8T+BYFipVxLHCccRm17Juj43pOYrn6VsoFPq3k93SwoJeCQh7qwWVSm/BQqYk3XTHvl1zMG4/lxWG/BtcMthIXEuSJDsn8ubfp6mOqgzuH8RO8vlN3j0ow5GSVhiT9DbfWLRRjoNSuSXnUbKcQc3RTsR/VKd2mhz0cCoxg9ulkP0YGBhcfhywEryoRep62jO/0ehbubVamuTbtib4jUbfBD/7/fu+ZtsHD/aN8rW/pm5bq0GxiLJtkkIZtXAet9OhjSAaDOwMwbgsELVjHBVCklAoSNqNGlZQgm6MZYHjBHS74PuKUgmiSFCr6UWLTLmU3ZbjbFWvdLtw/rzu7tGjuvueBwth59J96fsVRvZzWWHIv8Elw6xdQCmxKfsZZfOZIdveywMbilErBkPHhIyox/GmrObsRn+pdcazsJIdVJcXSvCHXXsv7XoFbpRSPJ3svExtYGBgsF9wzBXIZh2pEs2QWy093o2Pa/a8sqJD4dddB2GIAtJiGRX38rKWl/UEIAj64nohtL6m2dwcP0W3i60i6DZQUcTC1IFd+yaAwLLphAky6mCFHSylKFoWqmMT+SVEHFH12tTwEGmCo1LC1AEEjYYgjrXEp17vrwSsr/efRzMzelEhSfStV6vQ6SgW0gbG39/g+YQh/waXDJO2tlDM+/UPk/CMIvGDbpnD2g8es2WbAJHx7yRBKcVTTe3+ULR7hcd2cuoZPOFuhb92+pxh0E40O3ea0hWSrpH8aFxktx8DA4PLj/FqGbW6ilBNTfKLxb4/vw6r699xqwWOgwDSRJGUeoX7lNKamXPn9Njpun3bnCx52LJYSyu49YTi1BRMTvJ0S8Iuqpq5gk+pCKy1EeUCabGIsCSEXULp02wIPM/Dc1OqTkK3nSKSGEvaRJF2+ykU+s+jzPc/kwGBnhRMTOjb6Hb13KXRTolnjeRnG0zk/7LCkH+DSwZXWNvIfKaXHLS5H1ToZK9ZYHxw+yC2yoDUZr6voufy4ziESUon1TuOlYOexecQC6FR2EwmGNJ2r5H+wfbZEreULERmYAOM7MfA4CpA0bYRfpFl1yNqx5T9iMARWEmC6HZJx8ZIbB87aiMWFvQK7fg4dqeBknrQV1Jqht1o9CtmZRF/19WSn1KJ2mKAf34Br9yFqEPdmdy1fwf9AkIo3JJFjAQ3IEkFqe3TbsP6hqBQAMuSFIuCKE5JLAlSz1+yqL/r6mTeMOzLerIFjiTp149sNrUzqaiGXOMlHIfDkP/LCkP+DS4JKviEobY+g61EP1sJyEuBMoyaBOQxzN5z2PbNyH9vx2KnL/G5ruyD1ZfcDJ0E7OT0sxPZv5BJQO8LUcD3IiP5MTAwuDpwuFCgG1ucOGvRbrvcdJNA+B6BlyLTlNQPCK0i0nOQ411N/KrVLbafIp8QHIZaWyOElgwp1WPhCeWywosSrHaT8+Ux9uKhOe47JLEAz0cpiyQRvfw0QbkCUdzPQavVBN2uRRxbm/XFoqjfrbh3vUpFL0x4nk5RKJf1RCBzNAUQM42L+j0bGDwbGPJvcEkwJQubkY9sMj9Y4GuU1GeLY88IZ6D832DdACEESilUqgm76DU63tCjry0EBUtsnTXsNeq/G/ZyrrytaK/TUQotI/nRMJF/A4N9jynfRym45WaFbSlEu4GXRMj1lvbSRxfESrFQhTLC9xCkiDBEZcu9mUQoinSIvd3WOQC5ipGiXmMsSODGQ6j0AE+fb0Ac7ti3qutQCLRmPxE2cSLoLRBvqooqFT3vaLd1ikG2Cp2men8ca1dR1+1H+7MUhewRsLGhu9lu955TdoosGHf/oTCR/8sKQ/4NLgnKltZvDpL3PEnPMEj0s/eD48BOOQAZl86iMjqbKt2cGSSpYqUX+b++qPu2Leo/2KFB7CXav5NV6OD73DGLA1WMr3kYzb+Bwb6FUCASSWqBH4ArIoRtwUZDs+WlJSyngV+uEBXKJIUybtRGCB2s2VLwK/PHdByIY9JuBAJktcxy3aFaFqhU0O0IUlzOd3Ym/gBTooAU4Dop3a6kXu8n5AoBi4u6XaYwypJ4g0A/NhoN/TkzI1pd1fORlZVNNRLQnyxMTfU+F0PqF/ervnqwl6CPCQpdNBjyb3DR4WEhkFsm8pncZ1DvnyFrt1My7zD5z/B2OcF/r+F6t/9AOFJ0hyfeDiK/MpDv3B4sO7chn/WcHZNNPoCnYndv5zEwMDC4wjFpFVhdESwswOHDgplJScGKCYVHRxQZmwbOn0c4bZyVZdLquB5ewy6p46Iyvajn6T/HQQmB6HRohpK0VKIUdRn3E8Iu2IGDbQlaye7EH8DpeiwuCcoliUJh24J2W5P3zK6zUNCfGw1t1+l5mtQ7jo7ku642LVpd1Ym8MzNalRSG/Rpl1aoe4m27N4nwm5fk+zYwuFAY8m9w0TEpC8OULVvyW4fp/Ie5+Qwz0RmVA7C5arClwpfGiVp3833VtbZbEOUJef7CuxXuyrZlzkF7kfxkr71jEiFYNSlgfRjZj4HBvsaE8CkFCRMTkmYTWgWLoCzxJspY3Zgk8bDGx7Usc3wcq9MB1yUsVEn9IhstvRSaVKoI28XuNGlELsKpEhcUrbZFMOkj4xDlutiE2MCTtd319LaStJuSuAhhJBBCYFlw6JBieVnr+7PnydiYTtKN436Uv9nUpL9e708SdF6Anhg4jp4YZIXji0U9WRBSEft7m5xckzCyn8sKQ/4NLjrGLH8z6p6X8dgD/9uGBdazz6PyAYZh22QAPQEQmX8+cKan95/1bGR+JjLqAsNmHbvt3+nzKEjJipGAboUh/wYG+xiKaS8lThJunVhCBSVir0irIyklbVLLB7uAJdBam2ZT62K6XSyhUCgqribJiysWFT+m5EoKZZvFFZtKFVqhoBtLJJJmM8UvKUQacrK5+2B60CvgRrr+TLmk6Ia6cFeSwHUHoVDQY3e7LTZLEJTL+thM7z85qd/r4l/0XIG2JgGD3p4kvSq/VrQtKGWQgyH/lxWG/BtcVEgEBdvadD+AwWTcre3z24a9Djsmf+xgOyFU3+EH/dqM003L5xsq7mjSPyySP9gmez/s86jtw25YiM3Q0PHUH36DBgYGBvsM4yJhUq3RCSrYfgHZbuCGTVpWiW5s4cmIUHmkhSIyScCytMyn3cZSCaDo9Cqd+56g3nXpthV+KqlWFU7SwZKB9tkPBJPjCSJSdIBoDzGXIwVJ7OvhfaOmZTuFgqLRELhuP2HX83TAqljU25pNfUzmPLq6CocP90sVxLF+n9mArqxod9J2Wx/XCVqX9Hs3MLgQGPJvcFFRxSNJtMVnxp3zk/lh0p7B7cNWAgbb5F/z5xCCzNx/U1pzptkvpT4VeJAmW3VIw7DXKH92jsGJwmCnM+SLFvg+qVKca5go9zaYyL+Bwb7EDWUfu7FOKWxBU0IYIkolikGMSlOiJlBwIGqjGg1EGJJ6AWpsEqvVwFIpiVMAwPcVlg1xHLC0CpOTKW7BY9yOCRMH10qQQiFcl/n13cm1ACb9hFPLEY7vcPq02FRgJomO3Pu+dvxJU/0e9CRgbExH+qNIt52dhbk5Te7jWOv7k0RPDpoD0n4hFC23PdgdgzxM5P+ywpB/g4uKKbvY80ruR/wHLTuH6fnzv/l8kvAghtmCZtt1e9V38gGUUjxd04Nu2bZwbAuSgZMPdmjUpGDUtmcj+elNGDYSBcbicyv2KvsxDwIDgysOs9UyyrMQnQ5pq4NSAqvVQlXHwA+IPZu1xYSZSQd7aoq03UF0Owjf51yzjGXBWEGP2dKSBI625FxdVcSRQKUJllD4dqTtpKMUVMrTrd0lP7NuQCQ81lYU3VRRrQqSROF54LoCz+tPAqJIk/piUa8CRNFmIWKqVf2arRK025r0R5Em/mtr+npLSz2H0jQ2kp/dYMj/ZYUh/wYXFRXXJo2H6/cH+fZg9D9rO+qYPIZZhUqpdLKv6r+GqaKb6JMcK9rbK4xlF9nJ/ScfxR9MCM53YPAmBtsNmSScMFV9DQwMrhI4gCeFdufpdBDlIrFXgm4LWa8B4CUwVakgw4hVVWGj5nPkuhgriSgFNo4nEA0dOreTLikWcSyZHE+xRaqlQ4SktkUntEAUiBJFPd492XdSFljccGh0oViAyWKbsRmPKIZ6A+JYEEWagwaBXgHIVgGaTa3r97yehj/UFqCZxXRWHyCz+sx0/90uMGWi/gZXFgz5N7ho8LGQSETPuGYnrf6wv/z+fLu8DH+nYzXvFj23H71jMSf5uc63dFhn8CJ79fnPY9Qxo47LuwtlpwBOJybqvw0m4dfAYF/iiC+g1dQ6GcchcVxsmSIdC1wbzpxBeh5etwVBwKQTUa16sNpBFQuUnQiBIJK9sTJNscMNpFWhWBRYloA0QYZt4tjHcmySRNBU3Z071kPFdVhe1sm9hw6Db9t0GhGhcmk2ddGxtTVN3Gdm+i4+maNPlhMA+lFi23rId139vtPp74PsHIonhNH774q9jPsm8n/RYMi/wUXDjFUkjrf+hncj9jvlAAz7neerBeehi8MA6VYN/tMbOuLiSIHvOn07Brfnq78Xec8wG89h9qDDMLi0kU1MpKQRpyRmLXg4DPk3MNh3OOzbiCQhtj26hSlcO0W1Gqh6HSEEqlBAVcdIEVjrq7C6iqWA8XFEvQblMpFXoBPpCFK9bTERpFTDZUQrIgkKdIMxUiXwG0uE47PYtsW51dqufZv2HMbGdNVd34c0UYTSJorEZsQ+DOH4ca3vzxJ+01RvTxLdJv9sajZ1DTLb1udstfRkIZsEWBaEKiGRe3R/u5ZhZD+XFeYJa3DRMG77O8p1hmn+hwXLs6qIGQYVNDv//oUuDa8USZKwGuoQzJGCixCiH6LJLrIXh55RUp9B7DSRyD8x4hjCkNOheSAYGBhcPSi4HghB2IzYWA5R9QYyDhFZiHxqClEpE/pl2k4FFQSosTGeaU6y7k1Ta9lYacLKhi7y1W0rVKuD6HZBKWSa4MqEyC2TWjZeYxW3vc58uHuJ9MPlIo4IOXBAcccdiulKh7LfxfMgCBTlsmJtTTv5ZB79Qmyt1ruyol1+kkRPDspl/T4M2awSHEVbJwfL3c7oThlcFnzkIx/h2LFj+L7PXXfdxVe/+tUd23/5y1/mrrvuwvd9brjhBn7/939/y/5PfOITWmUw8Nfp7J9/a0P+DS4KJOBaEsvS0Y5RE/hh0f1MSp9PDB4mwx9F+jc5d+byIwRKCNaifpvry97wg3cqzJXvxOBsZNiEYKdzD9y4QnBCmYW3ociWjnb7MzAwuGIw7jhEVpEYiRfWcdIQBIjMSseyEO02Yn4eN+6QTEwRB2VEucR1R2y++6TDo9/16XYVlYoeX0teF6vbgiRBKQW+j0gTzsxLmsU5uqUJFtLSnvo34bmkwqHkRRStLgiBJSEMUyR6rPZ9xQ/+IBw7pol9EOjhyHX1X7msY0dRpF/zLkFra5rsC6EnBqBXAOqukfzsCXsZ85/FuP+Zz3yGt7/97bz73e/m0Ucf5eUvfzmvfvWrOXXq1ND2J06c4DWveQ0vf/nLefTRR3nXu97FL/3SL/HZz352S7tKpcL8/PyWP9/fP7bdhn0YXBRMWAHD7AwyG7WdpD+DyLcflBANYoveH13QK+qR6hNNPegKoOI7epTeTd8/LFl3t5WBzQ7skCuQTzCWkk6q6Jq593AYtx8Dg32HG5yUNE5QqcKyBNNiDWKP1AsQcYzIfDTrdawwxD1wSGfd1tdx63Ve/AOzbNQEabONHQQAeGUP1nU0KS5WEU6AsAUHDyrOnhV4nscz7dquYUxXSCwhiWJBmNhYKgQE9bbDmTOC668XeI7a1PBnQ0u1qmM4jUZf/dlu6yRepfQibrfb1/9LqV2Asjo3iUpJ7d1XJQy4ZLKf97///bzxjW/kTW96EwAPPvggf/EXf8FHP/pR3ve+921r//u///tcf/31PPjggwDcfvvtPPzww/zO7/wO//pf/+tcVwRzc3MX3J8rBYZ9GFwUTFrB0O2jLDxHrQDkP2fvMwwe19uKEAoQKKUQKsWzFa6tOFPXS3AzgYPMZwsPFh7YbUDJe/nvZOu5m2NQ9rSIY87GhrgaGBhcPZhrrBJENax2U7PlVguWlkjWNggL47qQV2aJ4zg46ytYlqBdmCQtlqDdZMypUyhJXKmXbVfWBHE3RnkekeWStDrU11KadUWzARurMWuiuUvP4FBQpNvVY243kjRCn+Wax0ZdkiSC1VXBRl3ieYKJCR25tyydrKslQX2Lz2JRE/1ms+/rn9W1yVaxswCwrIaX7Pu+VpGmKbVabctftzs84TsMQx555BHuu+++Ldvvu+8+vva1rw095utf//q29q961at4+OGHiaK+nKDRaHDkyBEOHTrEa1/7Wh599NHneGeXF4b8G1wUBMLZ5ts/rLJvxr2H5dQO5gLkAuWbxw6ifx7t9Zwd3AoTsl03lb2diXn+5HvxFt1+8e2zlGFyISDTRR03kp+dYWQ/Bgb7Bh4pLgpndRG5voao13WIXAhkEmItn0esremxsVSCVguxvIycP4fvQ+wUqMsqqe0RJhbp0ioAY14XGYWEGy2+9S1BWm9w/PGQzsIG3z9+mlvGzqD2EEeZdDQbz+w3azU4e1bPRTydpkCjsTkv2ST0GdfzPEWa6uPSVEuAokjnALRa+rOuFQBTU3qSANC0d5+YGPSwF7mnEDzxxBNUq9Utf8Mi+ADLy8skScLs7OyW7bOzsywsLAw9ZmFhYWj7OI5ZXl4G4LbbbuMTn/gEf/qnf8qnPvUpfN/nZS97GU8++eRF+CIuDwwDMXjOCISNUJI03S7xge28uCf/3Pw8LMo/DIOTgWybQGknCWERJQohJKfq/cSbCd/eWZYzbFuetGfHDbr+7DRRGExayMJClkWkFA1lyOtIGKtPA4N9haOehUh1BmzcCbHWVhBJAkGAnJyiSQFneR5XdSEIENUqLCxArYaMTuAeOUKsJGEsCUoWYVtTE7exgnQsPE/yolvqxKHkwFibKAQpFIvShWjnvknAFRb1up53NJt6eJ6d7RN4pfrRe8vqV/Hd2BA0Gv3k3o2N/kQhTfUKQBjqBV3f758jG77aIgasS/rdXzXYo+znlltu4Rvf+MaWzZ43Iqdv87ABm22ltm3brX1++z333MM999yzuf9lL3sZP/RDP8Tv/u7v8qEPfWjne7hCYMi/wXPGtFUY8NofJdHZLv0ZPA52ngQMthFCIFAQRwjAsmxAcaKmIy4Vx8KxrOHZw8+2Ou9e2o2SE6Upi4mR/BgYGFw9uK7oQKi9MUXZJ+mGWGEbsbaGWF+nODNDu1ghqfg021DeWEJOToLnkSoQlkXgSzodl6gbIzMrZnoJw+02dquFXSxy4GAR0hSlijy5vgvzB4phgTQV1Grg2jFBYOG62tO/0dATgnZbJ/cmCSwv9yP+3a4m9wcPanI/MaG3J4l2/cmG+fX1/jFHjvQTfg0uPqSUVCqVPbWdmprCsqxtUf7FxcVt0f0Mc3NzQ9vbts3k5OTIPr3oRS/aV5F/E14zeM6oWt6WFbs8Run4hxXsGmUPOrhykIdSoBC6oqTtgBBECjqJJvtHy/ohooRASYnabYZxITOQUduHOfxkev8k4UlT1XdnGLcfA4N9A6EUlfVVzZ6Xl7Hmz2CLFFEoaBN8y0IsLlJYO4d98jiV1iKi2UB1u6RT08TTB4iEi0JguZJm5NBuaiYdOQEL8gBpqazZNrAclTlbK3OyXqG2h1xauRHwve9pN57lFYuoq4hjRaMBZ87AE09oOU+7rWVA3/ymXg3odDShb7X0paXUQ/jysp4QlMv9Bd5qVa8CCKHb7yPHxysHexnzLzDh13Vd7rrrLh566KEt2x966CFe+tKXDj3m3nvv3db+S1/6EnfffTeO4ww9RinFY489xoEDBy6of88nTOTf4DlBIghsa0vh3EGdf4Z8pd4MwyRCg8cOk+v3ebbqtekfkK/qe9B3QClEmmriLyTKEohBG85hnv9ZcsIwCdAoDFqA5rVKQpAAq2YZeHcYtx8Dg32BqTRC1tY0U85E8ePjWlfjOHpbvb7pAS3abfA8nQCsFFYSIjohQinsahXXt9joTAHQSn2azZTIEriTk9Bq4wcRVAI6cbir5AcFByYd/r//A77yFXjVqwTf932Co0d1l1wXDh+Gc+d0lD9NNdF/wQv0XKbV0n+WpeVCWRFLx4HvfAeWlnTbYlGvIHS7PXXoXleQDfq4RG4/73jHO7j//vu5++67uffee/nYxz7GqVOneMtb3gLAAw88wNmzZ/mjP/ojAN7ylrfw4Q9/mHe84x383M/9HF//+tf5r//1v/KpT31q85y/+Zu/yT333MPNN99MrVbjQx/6EI899hi/93u/d8H9e75gyL/Bc8Kk5aOU2KyblWEU0c949qhJ/KBcKP85O39egg89zT/pppPnifUGALaAwBKbBwqlQCUgrK3EfpSGfyd3n8FJQD5LOT+JGJhMrCYCTFVfAwODqwQ31Jag4GvmW6mQVcqKqxPIVCGLRV0yd2lJh8Q7HRAC0cuujbsKmcZYvsP6BpxfgqQnjVytu7TXYkQ5IQlKSNciUg4IWIx2988PEpepacGtt8LDD+uofrOpu3rggCbslqVfPU8/Fg4f1pH9jQ247jpN9KXU0p5GQ98e9OU9Kyt6EjE2plcDpIRmHMHZS/aVG1wA3vCGN7CyssJ73/te5ufnufPOO/nCF77AkSNHAJifn9/i+X/s2DG+8IUv8Cu/8iv83u/9HgcPHuRDH/rQFpvP9fV13vzmN7OwsEC1WuWFL3whX/nKV3jxi1982e/v2cKQf4PnhAmrsFksd9CTfxTBz08I8iQ+O26v+QLZNZUCGYbYaUqSpqx0tcnykZKnE3TyuqIs43jYTCWPUeWH8/uGfd4lh+C40fvvDpPwa2CwbzCVhLDay4rNyuN6Hs3QxR8r4yQdZKej2bPjkBSKUChhhVpnE7lVsIoE4QYlVaM7Nkaa6nFzctamcCzAdguEqY3VaVIuClIBCyu7a2usWoEVCS9+MRw6pLfV631JT6mk5Tq+r19nZ/vPlpUVvWjhOFoS5Hl6f7utVwPSFObm+o+Sble3FQJWE6P7uWBcosg/wFvf+lbe+ta3Dt33iU98Ytu2H/mRH+Hv/u7vRp7vAx/4AB/4wAeeVV+uFBjyb/Cc4Cutgcv4Wt7pYERx222/38xhYVR+wKDqJsPm6kJPzy+AWtwn29cX3e0ZxcNcePKvwzq+W1LwTp9zk4I0TTmXmJ/crjDk38BgX8AlxZ2d6Wtj6nW9w/MoizrxQhN8CxV2ET1mLOOIOIpB2oiNGmpmHKQDxRJumjBrRzR6nvwF0cYXCd3Ex5ERG6qEaEpaUcyQsMw2iJbHSqKj/DfcoOM+zWa/3EA21GTkv9vVUfww1OT/9Gm49VYd0S8Wddvxcf05s/6MY+jlLvf4q2JVtU1C5YViL+O+eS5cNJhv0uBZo4CNJfUgPSjzGVZId3ASkL3uliQ8Kgd3M5ifEXcpOdnURs4CqLj2dkuh/In2UsF3WBGvUQkJ+fMPdjaOqSdKJycbGBgYXAW4wRUI19Uhcc/TQvkeS5atJq6VIJsNrfOPInAcxPQ0TruOVVsH9PgfiDZJGBNhE0XgWVrML0mQSYKThqTCoVRUeK6iFtd37ZuVSqplwdISHD+uCb9t9xcnCgUt1UlT/V4IvT1z7pme1p79lqWj/efO6e3lsr7NzNc/ivQEIIr08cdPJXuamBgYPJ8wYUiDZ41Ju7CF9A+T64wi7IP7RhH8UZMIITIa3dPzC4ECTjZ0pb8pvz8x2ZYxvJPGf7d2o6RAg53MXrOZjeNwMhnuFGAwBCbh18DgisehggOtrg6BVyqaRTcafVacppoZe54OmW9s6JD6+DhEEbJYxFcdBBZW3CVEUgsDLKsXVJK2JtJJSq0eMS43cKTkZCvetW9TFHEcwdycvny7rbuS5SFblibxvq+7u7oKi4v9VYCpKT3UT0yonlmb2JxAJIkm+lm9gHPn4KGH9LHXvaDNkelL+71flbiEsh+D7TDk3+BZo6y8LXL6fCJuPriet/UcxF62DSp3tu7XpF/ZDq0wIenx8pvGisOdeXYqzJVvP2wFYKcqwYMrBAMTB6UUzxi9/95gZD8GBvsCJVvqUHi9rtmz72shfaPRr5zV+y1HdoCc8rDWV3UYfnYWwhDlB8SpwLEiRJoQ+AopNLmXQkGng23bTFktKBQI45h2ujv5L+Njuf3AVLutZT1RpLdFkc5BnpnpS3+ySH+2AnDwoPb2T1NYW1NsbAjabf05u7WNDX0rL395b0Xhhaaq77OCIf+XFYb8GzwrCMBS1jbzm/wKwCiP/lHkfpg8f3ClIO8UpBTEiSCOQUrB2VxV36mCs/1keRvOYSR/p4j+YGdgdNJw/nw9D9ROnBAblZ2BgcFVghkHZBBAo0GnOIbrtJD1mhbV2zZISVIooUplrLCN7bh0YwsO+MiVFWg0SJGEIiURDl17jLibIhJJRk3aiaLSJwABAABJREFUVpGllkWy0uH6qTai22U53p0ASgSWsjYXHYJAz0mU0hOAdlsPzVmOcprqtIVSSS9irK/ricDKin62dLtqMyaRSYeU0u2rVT2ROHoUvGLCcUfBHuoPGBg8nzDk3+BZYVwECCE2k3VhuFPPqM+DgfZBGf1gAnAeegKgN0qp8FwAxcm6tn4r2hInu9gwjCLqeQyuAoxK/h3cNhj1770/p4y3/55hIv8GBlc8jhJrxhxFOJ5NqFzcqWmkSjWz7naRScyZ0zETMz6FZ57GHx+HUom4XCWKFH5ng0QWWVqHIEhwA63573Sywd/CchxajkPL9wm8hCfPN3bt27TjYymBV9RKpCDo23WWSjotIQz1UNNzJqVeZ9O57uxZnQ8Qx3pBo1IRm8N5oaD/lpf7FqFZ7aeVKITdHUgNhsFE/i8rDPk3eFaYtHwE/d/qYMXeDPkJQfY3KAPKy4RGyYOyfVuvpbT2MgKFohHpcMsNJXe4Rz+MjtwPkv3B9sO0/pm9Ub7toM9/7ws6ntiY2l4XAEP+DQyuaEwHjib/to0SgtR1QcTgBzq0LgSiUeew14FWTyPTaEAUYUcRdprSLY4TKodSMaEo2ySigFuwWVzU46fnKoRQ2LZAWQ7N2Ga1s7Zr3yYoUCrpbjSbfUvPibGYREn02rWW8EjZz1OOIh3Jf+UrdVczE6MsSTjz+J+d1XIgz9OPAH0exTPtOsbT4VliL0EfQ/4vGgz5N3hWKEgXyc5kfVCjP6ztsAnD4P78+76bkE74tSz9t9hz+QE46Ntbkw3inD40I+U76fezdrtJgoZJgYatIAAdI/kxMDC4SuBKiVMqQUeHuRWS1CsSOym2pRAbG4is2m+S6HHQdXVScBxv1gKQrk3Bl6TdCIVHGFuksWBuTvD002C3agi/Cq6NUoKNMNrdSUfB/DMO9mFN5MfGFEmscIiQIgQJ7dTjkW+7BIF29el04PBhtSkhdRydA5A5/bTb+tStlu56s6mtQ11XR/3jGLqhoiuM3sdgf8CQf4MLhi8sbCk2i2zBcJ3+MNObUSsDMLwacB6D6hulIDP0ObGuH0ISKDhWv5CXbQ/XI+124mHEfqfjBm9mN0cgg9HYq+zHRIEMDJ4XHAo8OjLAKbnYlsIB4gToRsiMKUO/EqMQmkmnqWbOAJ6Hs76MzTKqUKDtjuO7CXEqNgm+ajZRiU0qS0TC4sRqm90gOy4nTwqSRJsKBT74gUIlNlGaEKeSRmSzsqI4cjilUJBUq4JKBdIEGs2+nj8M9WpAkugJQKej5y/z83r/xEQ/thQ6oWFUzwVG9nNZYf6rGlwwZqwiUoqhv9Odfps7u/YM3z7a+lOgVAqpIlWKhaa2+DxcdBH5qH/28MlkQIMTgYzoJ0MiNkmytVPDJENDnH3y7VVqJgEXDKP5NzC4onHQUiglUNIiSROkSKmtC3zLwhFKh80LBYSUKCFQhSIqiiFNsJTSOpvehEDYNgLwZYcklSSpYGVNj5ux4+P4Dq3VFEhYU7sL6qetAozDU0/BK14Bp04LwGJyEuK4QNzuMjsV8hOvt2meXqZY8ImCChsbEtdVVIMOzZag0fE2Hw92jynNzmp50KFD/Yq+vq/3nVKtzHna4NnAkP/LCvOENbhglPB2lNMPSn3yyLhyZr6Tl/0MyoNGuQLpaylSBVEq2Oimm2Pu0bK31d1nUL6TP9lOnv35DgxrM2wQGnKNVJrBysDA4OqCVAVEo0bUTZEkKCWYnkgoiQZCSmK3SFooosKQtlvlbHucJWuORvkgcbGCUtrCczPAkqbIThvLdwjsEBHrIl9du8RqO8APIHUEuxt8wq2zYrMQV7eryXmtplhZUXS7IBwHEXYRzQblIqgkoduIOHdOsbIC4XID1epQr6WsrOjIfqej/7JYULerE36F0CsBY2OK9bR7ab90A4OLCBP5N7ggCMAV2kLNsvrWnlmwPUM+iXfL8QPOP/njBs+RtR8aDFBgkQKK+Wbf4nNMqn4VlvwMY/CiO7n77NTxUceP0PqvKjO/flYwkX8DgysSk7akq1wWVz2cuuLIZBM3jfSY19buP5bTJu0x5oKzhjPt00ptup0UvzqBVV+BNEWVyyjLRkkb6UhEHCNti4MzHf7+exBjIy1BnLqsprv753tSMqaavOBOl5kZSbGoHwdHj0LJi2iHFt1IIqplwlTh+j6xspg/aXHypGBqImHqpoDKmM3GgqDd0bKfqal+QjDocx461I8RLaxFl/ZLvxZgIv+XFYb8G1wQxqW/WX0RRnv6w1Z3nrzmf5TsJ1PnDE4chvJqKUDYgOKZutaBjlkCGUV9fengCYbp+Xci83vx9B+mS8puAjgZYnChMLIfA4MrFjd5KeNOg8Kki1tyke0U1WwihNB6/m4XSR3Zamk7nG4Xe+U85bk5ynaK6HYRrRY0m4hSibYsMr/sc/AAeNEGylaopFe5XYrNQsHznd0lPzNOgZblUZIdpqd8EJIgAE9GxKnF409aHDmiSFOFFXfpOAGpEiytaE3/+FiKZ0XQ6OJ7DkkCrZZgbU3XMrNtXQeg1dIrAmtreoXBPtSGwqX+5q9y7IX8m+fCRcPz/k1+9KMf5QUveAGVSoVKpcK9997Ln//5n2/uP3/+PD/7sz/LwYMHKRQK/PiP/zhPPvnklnM8/vjjvOxlL+PQoUO8973v3bLv6NGjCCH427/92y3b3/72t/OjP/qjl+y+rlZMSj3CDRL+YVafw+zx88R/mMXnYAB+K7fWtm8ChZT6fZSmdGL9oLip6mmXtUy/P8paKN+hwfeD2/IapWH2ofn92StAHJMmKfMm8m9gsAVmzN/fmE4iCnbEOOsUu2vYrtUvzJKJ45eXtXF+u62F8Z6HSFLEwjxiYYGerQ40m9hhC1ukrC4nxJaH9D1EQQvp0zglDAWIlJbaXfQj6wGpkEjXwbIlnY7W/oexxJUhd9zUxVIRbqdOGia0azGLi4ozZ3TybrlqIS0LKw6ZKTQ4NNVlZkYRRZr0nzmjb8uy9GrCj/0Y3HOPolvcPRHZwOBKwvPOTA4dOsR/+k//iYcffpiHH36Yf/pP/ymve93r+Id/+AeUUrz+9a/n+PHjfP7zn+fRRx/lyJEjvOIVr6DZ7C8Bvu1tb+P+++/n85//PH/2Z3/G3/zN32y5hu/7vPOd77zct3ZVoiCdbeqYwQlAhmG6/1H6/vz+nSRDQilIE0QcI5KExXp/0J0t+v2a63uJ5OfJfL4jmWRo8NjsmGxb9jm/LfsiXJeGZXMF/MT2J7Io0E5/Zgl4X8KM+fsXjlC4KC16F0Ib4G9soIIiG+4EKgg0i56Z0VqZSkVH+Gs1xMln9MqAruKFKhSIpYMTt5mb7DIzJ1FxTLupSIVeuXWthLmpCMet79o3KWBt0aLRtkmVoFxM8H09LJ86K0mky5jX4qCzjBV2cFwIE0mSCO59Sco99ygmJ0GWA1ShgOx28MI6M846hw/rfWNjiokJxQ03bC5qEKUxqXF3e+7IHv5mzL8seN5lP//8n//zLZ//n//n/+GjH/0of/u3f4vjOPzt3/4t3/nOd/i+7/s+AD7ykY8wMzPDpz71Kd70pjcBsL6+zgtf+EJe8IIXcPDgQTY2Nrac8+d//uf56Ec/yhe+8AVe85rXXJ4buwrhCwtLaDI7qNUfFsEflvg7jPTng+zWkEJYQuQGVimgZwUnlOJETZN/Vwpc22KzwEpeXzTMr3/QvScvB8pvG3ae7Li8408evYnByQ5gKr5cOIzs56qGGfP3L46qCCyLuigT2Al2famXrNuh7AWkS8tYSdjTwtibRcAyr38hJYyPEzsucWrTtor4BYnnQasLtuPRrScErRoAfriBq2xObXTZja4c8B3KBwSLixBFNq6rff5vvhlcRz86lOtCEkOSIGsbjJctgmJA1I7x2w2sogexhQoChG2DlIhWi0MTbdoETI0lFNwuqhshHIc4FZyp7z4xMdgDjOb/suKKesImScKnP/1pms0m9957L92uzp73My8twLIsXNflr//6rze3vfe97+WVr3wlhUIBKSWvetWrtpz36NGjvOUtb+GBBx4g3a24k8FITNuFLRPwjBMPevgPi+bnMTiBH1TTbP99iy3bhVIIpUiUYrmjl4KPVXz9YMk6Mxi9HywrPCzin5ft7EXXP9guu5koQoUhJ9Ir6udlYHDFwYz5+wuHm2vQ6VCafxLx5BPatafRgHYbefok1voKrK5qMXylAnNzvUTgnkk+gBDUogKnGhM0QwcZdklTyfkFrcUfLyfYjh475eoKanWNs8nu5dEPBwE3HYm4/no4cULLc86c0ZeVAlwRY9sWSbFCFJRRU9O4rqSk6kyOpTiuRLoukbJotCTddoJaW4M4RnQ7BNEGRbuD3W7hdho4S/P4K+d4qmmSfQ32H573yD/At7/9be699146nQ6lUonPfe5z3HHHHURRxJEjR3jggQf4gz/4A4rFIu9///tZWFhgfn5+8/jXvOY1LC0tUavVmJ6eHnqNX/u1X+PjH/84f/Inf8L9999/4Z1Mkr6WfJgn/JWOi9D3smORplsHuryGP4531vLD1tW7wdyAURL9JNHXjEJdbUX0ou/rYf/f5EBgE2VebLA9QXcwyj/4PQzKd4YlAQ/z9B8kFr3zdlJFnKhr/v/MjucdBRP5v+phxvzLgIved0UgBdH6uq5+FYak3famdh8pYWxMv9q2lve4rt7WasH6+ma1LG+8wmRngc5iRDRlI8MGh2bKxGcWCGfHiVwPgOaBIyQIksWNHfql0Vi3mbSbFDyHu+5yiGPBxgYsLcHCAkxNCcZLMa0OJMrBS1MCGSKWF0lLJS0ZXVoiLVQQqaAbK9JEYXWaul6B7xOpBCcJEY0GrKwQSot29dD279j8vxl93lEwkf/LiiuC/N9666089thjrK+v89nPfpZ/+2//LV/+8pe54447+OxnP8sb3/hGJiYmsCyLV7ziFbz61a/edg7P80Y+BACmp6f59//+3/Mbv/EbvOENb7jgPlpPP4ZV0Mmu1vHHLvj4KwXPpe+PX7xuPCv85f/5y23bsnjQV5/ctut5Rz5Wda3+nxl6vtburh2G/F/dMGP+5cPF7PsXn+sJVld7b77b33Z2oM1T/bdf+Zv/H7B1LB2F72496zY888weTvIsYC2eH73P/L/pn2+3cd+Q/8uKK4L8u67LTTfdBMDdd9/NN7/5TT74wQ/yB3/wB9x111089thjbGxsEIYh09PTvOQlL+Huu+++4Ou84x3v4CMf+Qgf+chHLvjY5MYfJAkKWMcfI7nhB4eL069kJMlz6vuY5XKDN75t+7Aof7ZtcN8weVD+tz484KtI05j/838e4hWveAW23U84/otnFklSmA1sXjxT1hsHo/P5ZN3NUw5ZCRiM5O/1mCErBEop/rJr08F6zt/784pL1PekYTSy1zrMmH8ZcJF/vz+Y1Dns9AbuQkFHytttLftZW9ORfqX0Ps/Tn7td3SYI9Lb8cq/j6Peuu7lasNzwWHHnqI6l/N3fPcRL730F31zboJPsLN16gRPjOzN0QonvJAjHYbzQwYo7xG6RTuLgpBERFht1SasF4+OCRkNffnI8QaYJamMDt1tHJAlidgbqdSK/yErNpZkGHD0YYTVrm8+Gv2nB6jATIjPubz+tGfevKFwR5H8QSqlN7WeGarUKwJNPPsnDDz/Mf/gP/+GCz1sqlfj1X/913vOe92xLOtsVltX/IeTf7zc8y77PeBUsy9mybZDMZ5/zE/j867CcgEEJUH7SoOVAarOwimM7OK4m/504IREWWHBDJcAZFTEYRv6HSXWyDObBicAokr/DpCISgo7lbr3GNfh/Zsfz7YS9yn5MFOiqgRnzLyEuUt+vkxZOt61JvOdpKU9PxkO329d9Zr/LzBHI93W7jY1+DZRszJ2b0+y71YKNDeaOHWO2eY7Oqo4SF1bO0pHlXft/yAfPqdOenARlkQgLX9qIMMVtruOXK+AFdEJBqSxZX40odlaJrXGaDUk67qOkou4UKE8cpOhFWK0GjI+DsLFUEbsliKWLHPOw0phESFabqzsvS5j/N1vPtxP2Mu6bMf+i4Xkn/+9617t49atfzeHDh6nX63z605/mr/7qr/jiF/UC4//4H/+D6elprr/+er797W/zy7/8y7z+9a/nvvvue1bXe/Ob38wHPvABPvWpT/GSl7zkYt7KVY2SdLdtG2bRmUd+cjB43CiNP+RzAJQ+b257xr/nG32iMBW4wzX62Ul3smEbVchrt+MHXYByN7BkvP2fG4zm/6qGGfP3H5w0wS14EHU1qV9f15m0a2u6gevqPIBOrySubevxtFTSv+V6XRP+uTndzvf1eRxHj5+lErguYnUV0e3i9CQia7U6jJV37psUeJUyotFAktBNHWwHEsvFclwgRqIQIqXgQRSnVAspbhLhOzXiqSJrdcXSmv3/Z+/Pwy276jp//LXWHs9851tVqUoqCQkQMRKghUA3gnYCxgFnVJ6o3QL6KG0j+ug3TiAOqKiNwwM4INqCDU8/iratBmL/gAYCSLSjjAGS1JDUdOtOZz57Wr8/1tnn7Ltrn3tuJXWr6lat9/OcnHP2XnvtdW5qr/X5fNb78/7guoIkAXsGXOHQVWUsmdBoKLpdOHlKsH+/g+s6rPcH247L4DxhaD8XFZfc+D99+jR33303J0+epNFocOutt3Lvvfdyxx13AHDy5Ele97rXcfr0afbv38/3fd/38fM///NP+H6O4/BLv/RLfO/3fu+F+glXPBwkVu6hK5LuTJJxrZd820kGPxQn/I4q/QJa2HOrc/Doptb8LlsS25LFBbgmIWuw5w34fLtpSUrZXYLh5PVw3xiuBgaTYOb8vYdDcR/RHW7Bplr9kZbMpNnU0f8w1Ao/lYqeO8NQOwnp3JzWBTh0SEfUT54cO/qlEuHcIiJJsI88PArEHHNLU8e2YJdQfgnCkKgT8PiaQxRJlhdiZso+feFiSYmjBIPB0C8RkqS+SBiCUBaJtJmd1T8tiiBWNlQsylHIoKfohz5zc+NguFJwLFNjxsBgr+GSG//veMc7tj3/Yz/2Y/zYj/3YE+7/SEGWz/d8z/fwPd/zPU+4z6sNi3aZvF59kV5/NhhepI55/kwOgUKRKH0wihQIiBNFM9BG+VPqnlb/yRb2yst0FskK7cRRKJL7nKQENPR+EiFYUZf8sdr7MJH/KxZmzt97OKQC6A9GUsb0+1t3Sl13TO/p9XShr0ZDU31WV3Xbclk/12keQK2mdwE6HVhZwa7ViGuzJIuLcFon0Z5yq1PHZrdLbLRtKl4Ny1Y8+qhgY0NR/6o+Nd9GqhhiOHrColaDalVgORZRJBEuuK6gDJw4ofvr9SCMBGFLIIRHp6vw/XHKgmVBkigeaxvj/4JiJ5F/sy5cMJi/pMFUNPALj+cZL0VGf576M+kdthbIzeYCqOEJSyoskdAK+qNr9le8rQW6iryOPLWnqJjXpB+43fFscvBwVdhQkryjZHCeSKOB016XMcIw5MUvfjFf/OIXL/VQDAyeJBQz4UBbvVlevxA6gh9F2iFIdwM2N3VU//HHtbpPaRi9T5N+221tafd64z6H11lBF2lZcOCAvkZs/5wLoLvu0O0osCWh9HnKjQnPuS1mYZ+Fn3Tx+puoXp9OW7GyAiqKENEAR0aUrT6OCIkihevq4QaBHlano/2WOBYjKeswHB5vxexwn9lgpzBV3QuxW2uJCVEaTIWd2MTxucm5Rcir+qTv2V0BGLNkYGv7vK2uOf/6gFQJFglHh9utloCynSkznKLI4M9ikkb/pPb5PvPOQubckcg8UgaaavKZz3wGcRUuVgZXFhpCYTm2pvcoNeb0S6lF9JNkbBk3Gtpy7vdHVX3pdrXhf8MNY+va8/Q1qerP/DxRfZYVtci+chvUzgqzzbuS66+HdltwYKaPHbTZP+dTkgOsaEBQmyVRA3wR6aLDRJTkgCiSBGFMIhMSzwUUtZrAccCyFFJAo6HVgNJixek6lSRwtmui/gYXB7u1llze4TODS46acBFCjMQZtmPL5BOA845C/nO+AG++DSjdJnNQAY+3AwCuKTuIlJOf9RyeSISgKJqcL/q13bbFsNkxU9X3yWOnkf/L3LD+vu/7vqkUFwODyx039jY1l//gwXFSVxBoo31mRhv83nAHtt3WTkAcj48NBjpc/sgj+ppKRbdZW4OjR/U1KyvIdotKWbGuZmhG07n+AAf9CtfUWxxcCjl6tkK/GVBPNlGOQ1SqEWMjfBdpW8zNJDTmbaTr4JQdjp0p8S9fqPKFhywGA4mUmq20uABlN6IqO1RKMVGkjf8g0CkMzabiaGsHtUoMzg9XwJy/W9iNtcSEKQ22xZJTxmKrbZy1g4uq9ebEbwodgO0chXx/2Zt1E0UaE7q+NqQjZZNy89r+Wd3Q7SQ7s99hcvQ/+567X1dBYvzpC4PLnNazEwRBwB//8R9z33338ZznPIdKpbLl/G//9m9fopEZGOwcy2dPAfPa8E/5+lKOI/qpos9gME4Anp/Xhn65POb8dzq6D9+HM2f0vJlWAu52sc6eoVatgOvQFTuTmHQTn1BGVKMNqvM+yaMnCWdvRNoW7cDFVQqZxMjWBotul6A0A0mCUBEH9tsIoWi1QEpBuazzyoTQ68axUyVQCmkplBJEkRYtcvyESOxsZ8LgPGCkPidiN9YSY/wbbIu6dLEKDPWiQPmEgPgWZAPzRYnCeYj0IgApOdEa8/1n3OECkRrqRR5I3ojf4lXkBlZ0fLu2Oa/lceVgYJDiM5/5DM961rMAzuFrGjqQwV6ATBL8KNQcftDhbxhz9VdWtJEfBON8AG1Fa6Pe93U4vTksjLW+rncR4li/27Z2Hvp9qFYRSqEqNdbOrE4dW0ko/LBHs19lplTF6bWRpRJi0CFOPKTtgUqwSw6oOkE/wooDpG2TWD5OFPHUQwN6okK/r+vJlJwIx5YkCq49qOj2JZ2O9ncWFvQmx8pgAGd38Y9uYJDDbqwlxvg3mAgLgUSeY6jn37eL7E+K5ufzbfV3dW5OgUrG1J4o4pENzbWcdS1dW6Uoap/esEiRJ5sYPInzn8ckdaDMMSUkX4qNQXdBsJMI0B7ABz/4wUs9BAODJ4WDQQdh29o4b7X0u5TaEk4TfJNEP7Olkj6nifOpLI6eJ11Xv9KCYKAdA9C7ALYNvR7i1EnE6VMcsRtTx3aDFTPndVgZuERBFzvsIVwX0e1il6FsdwmERy9wSESdlWZCVUjmKgKRxHieZNC1CeOEUslCKYVlKUQcoaRDHCYMNgestzwW5mOkUngeHFnp7OJf/CqG0fmfiN1YS/b+Cmuwa5iTJZJETGTMpChSxMyfKwqepzbeOeqbavhiq25OmCR0Im2wH656xR2nKKi8W5iIUOQgZM/l6wdkf1B6HgiUYrBtqUeDHeMK4fyn+PKXv8z73/9+ej3tuKpJ/2YNDC4zXNff1JH8ffu0MV+v6+9pga6U/58lxvd62hFoNLScp1Ka/59W9u10dLS/19P9JYmmEHkeOA6JbbPqlaeO7RobRBRRKQtsR2qVoTjWToUQ2CLGJiaOE9bWYaMlhwo+CWLQJR5ErDRdjp+QnDoFSgkSLGi1kVGAsCVWxQcEzZak2xOsrsN6EO3+H/5qxBU05+8WLuRaYox/g4mYQSdd5Xn8+ecvz7bJ2tjTpD231tpKGwEoHfHPGN/r/XB07X67QNoz66EUHU/7yhjt5yDrheR/aHp9gUNwxkT9DXJYXV3l677u67j55pu56667ODmkTrzyla/kJ37iJy7x6AwMpmNWJeOKvuWypvAsL2ujvlbT38vlcYXHKNKGf6ej58hmUzsJrqsN/dqwWq9t6+9ra7oPIbTxrhStQYSaYuQJEirVMqLTpto6ieNaBOUGTWojBSHV7eKogDjSGxVfeUvMwbkOlbKgH9iE/QTfF5w9K2i1YG1NMQglbXeOdt+luQmVcsLNNyUsLoK0LQa2MfwNLj52Yy0xxr/BRJSlUxjVLwqcT5MA3S7wnmV5KCXG98x1eLStt4ttAZ4cRpxSGaKiG22HYnmhcx2H7DZkvm3GOflyYqL+FxR7XOcf4Md//MdxHIdjx45RLo8jmS9/+cu59957L+HIDAymoyrB9txxxN5xtHEPOkoP2siv18fJwJalDfo02m/beo5sNLSTsH8/XHedvnZtbbxjsLysr1lZ4biYnjt1jVCI9fUR/UgpRVBfpO3MEHhVsCyUZRFbHp2O9kGOPW7zpccrPH4CQruErJQolwX79ulbd7v6JyQKegNJf6Cj/UkQUfUjZmsRp/tG5WfXYCL/E7Eba4nh/BsUoiwsHEeMpJrTgHj++Zu0C5B+zgbSJzkKWyU/Ne8fNWT+SKkXFOBMLwJpcV3JQWSN96yaT4qsTGceKUc1ez7fTsrJ9QFyPzhWsG4oPxcOVwjn/wMf+ADvf//7OXjw4JbjN910E0ePHr1EozIw2BkOly3wF7SRnlburVT0exDo+dHzNM0mFcNfX9fPbprwm7Yf0hSYm9PXpLUAGg39WluDfh/l+xxtLDCtgtZ1UReqPmxsoFztoFTrEi9pYocxhHrnOCoJEiUouQIpdT2A1FeRUvsuMzN6uJ//vN4BqFS0n2Lb0O0KbMum7CQg4PgwAGWwC9jJvH8FrAtPBLuxlhjj36AQy25lW0d7UqJvFtlCXkXXQ5FUqLb80/8qBfFwgyoZLgjX1n1I4vyWwbk3yNNzsueynsgkCc/8sXzb4aDXE8BU9TXIodPpbInSpDh79ixeGjk1MLhMcaDfgdmhcb6yog8OBjra7rpawlMOufagKT2+rxODbVtb1amDIKU29tttfS6VDHUc7TjU61AqEVo2g8jeKt9cgPluEyoelMuIjQ3UzAxKWtieg1jXxciSuUWCWK8PrZaiVBLUanoop0/rn1Eqab+j24Wv+ArtDNi2HlYaIxoMBJZtsdqMTFVfg0uC3VhLrk43ymAqasI7x7iX8twAezaAPslZmKThnyJrh0s5lveUSYylYmSylWdZd+R4QSni7uelP/Of80m72WPp5yTZ6jxsQyU6khgf+oJipwm/lzle+MIX8t//+38ffRdCkCQJb37zm3nxi198CUdmYLA9JIpyMNASn1JqQ95xxkW6gkAb+s0mnD2r3wcDbTmnib6bm9qa7nbHi0NaAKxc1tY36Hl2ZgYWFjhdma7yU41DrJSC1O9Dv4/Y3ET0+zRVlcHyIRLHJYyg2RT0+2K0i10qab8lilLGqBrFcSwLlhZjrtkfMT+XEIaKhx+GL35J8PnPC75wqj91bAZPAob2MxG7sZYYq8XgHEhARBbxDqL7UFz8K99+ku2cXrPFodgmIXfOtZBCsIWPlN6gKHKfpwQV5QcUOQP5LOYJOwhKwXF1+Ruiew47Me4v84XgzW9+My960Yt44IEHCIKAn/qpn+Kzn/0sa2trfOxjH7vUwzMwmIglWyCVDYNhBN6ydMAlVfbZ2NCGfCrjWa3q9zDUz6U9NC3SiH8UaYfA88ZG+7A4WNwdIIIIZVs83Jkuv/yUpA+eh5qfhzBERBE4DiKOmCmHqMGAnlfn9IbPwmJEo+EQJ4LNTf0z4ihGCEm/L/CdhKVGyKDuIS3Fyopg32xAvaK47oCNlA5BIBACHhdG4nNXYaQ+J2I31hJjtRicgxnpY1liJOEMxfZvPpqfTwguEs3ZzpYGpSMxOU8hyjR+St1HpITN/GAmbTtsuUWB5ugk/dK8U1BwrJMolHmM9gze+ta3cv311+P7Ps9+9rP5yEc+smv3uuWWW/i3f/s3vvqrv5o77riDTqfDt33bt/H//t//48Ybb9y1+xoYPFlc70kdnU81+8NQU3bW1+HoUR3Nb7fH3P+0neOM52bb1gb/jTfC4iLJ3DxJY0bvGNRqo0RgNTPLRlSltZmwFk1X01kuOxDHxErSr84TXXMtKt2ZsCxit4TdqDGz4GDbEt9LKJUUlYqeu6tVwVwjJgwUQWzhVx1mGwmNmuKG6xR+zUUlCa6VcPiakKc8RXHwupjQkH72LM533v/whz/Ms5/9bHzf54YbbuDtb3/7OW3+8i//kltuuQXP87jlllt43/vet1vD35W1xET+Dc7BnCyP8myLDP7tKDz5tvnPkxyDLX2iI/IxAgGs9sbRoEXfPlfhp+jGRVz9vPY/FB/L/riirYmMI3A8Nom+Fxy7lPD73ve+l9e+9rW89a1v5QUveAF/8Ad/wNd//dfzuc99jmuvvfaC3+/YsWMcOnSIX/zFXyw8txv3NDC4EJgXQyWzVJc/jnVkv9PRdB4hxkW9ajXtKIBu4ziaAqSUTuId0obiWoNBIHDrni4R0OuhTp7Enp9nrn2CDa8C4fbjslCUHZu2sx8VudCNaPZtZmshTjBASUmofNo9iWUJEilIohAlwLIs6nUYBFCqCMIEZmcVwpYMAmg1IYrhyBGB51a49mDM3ByQJJzt9nb9b37VY5ci/+c77z/66KPcddddvOpVr+Jd73oXH/vYx/iRH/kRFhcX+fZv/3YAPv7xj/Pyl7+cX/qlX+Jbv/Vbed/73sd3fdd38dGPfpTnPve55z3GadiNtcSELA3OQVk4I8p7iqJncqf1JYqk94v6EEKQLVWd2t9H21pezZVDic+im2c1/CchT+XZbsBF1+X6UErxsJouS2dwntglzv9v//Zv84M/+IO88pWv5OlPfzpvectbOHToEG9729t24UfA9ddfz0qaKJnB6uoq119//a7c08DgycJLYpxeVyfkJok28pXSRn6lMo7cp4m6c3Nj2o9t62czVQByHNTcAolXxmquE3Qizmx6tPs2ibRQnR594TFYOsjRHcylh2yFiCICZcGghy8DFkstZBKzmswSSRekDiCtrsS0WyCiECsOqFUTfB+qpQRfBszUFYO+Iun2cGRCnGjN/yQBIQVBbLPZFAQDxZfXjfG/69glzv/5zvtvf/vbufbaa3nLW97C05/+dF75ylfyn//zf+Y3f/M3R23e8pa3cMcdd3DPPffwtKc9jXvuuYev+7qv4y1vecsT/fXbYjfWEmP8G2yBi8QSspD6nreB83Wz0nbZ67Yq+Wx1BPK7ACMMv0ulUEnCma4OB11b9bcOIEVRNd9sx0UDLUK+z0nXDPsLEATmEbqkCIKAZrO55TUYnCvHFwQB//zP/8ydd9655fidd97J/fffvytjU0ptcWZTtNttfN8vuMLA4NLjurCDaLc1Lz+t1js3p7eCSyW45hqd1Ltvnzb6B4NxpD8ItJFWLms+v+cT4BIqCxDMxGuU3ZhWB06eEiTlCk5zHdbXONaZLqN52LcYCI9GKaa6eRJ35QQyDLDbGyyINWwipAXVUswN+3osVtrYno1FTLer85LXNiTCdvBcRaWskHFIv58wX+pw8KDi2mvH6QvStuiHkmZsintdLkiSZEdzPjyxef/jH//4Oe1f8pKX8MADDxCG4bZt9tJaYmg/Blswb+nt26yTPSmhN4s8fSf/Of2et6Wz91HDkyKJRwZ9JxxPugdrmRLxeYpOkaznJMN9oteRG2gRUv1Sx+FMdHUmH10MqB1Kp7773e8+ZxJ+/etfzxve8IYtx86ePUscxywvL285vry8zKlTp57UWPN43eteB+idrJ//+Z/fItEWxzGf/OQneeYzn3lB72lgcKFwKB5AFI55/t0uHD6s58Whpj6uO04CdhytlzkYjLn/UQRRhKhWiWyXjQ1JkjTYP9NnJlwjqVWwqglnV5dZ75eJBITi3MhmHo04pGPX6bZs5oWD6HagUkHEMcrz6EUOUipsR4ASSAG0W0S2SxQm2DKhXAMsQX8wXNicOhJ4/LSFY8e4ro3rat9nfR2607hIBhcECjF13lcIvvjFL9JobFWFKprz4YnN+6dOnSpsH0URZ8+eZf/+/RPb7KW1xBj/BlswZ5UKk3ezSb35Y3l7elLbSeey16ePvhhe8FgnGI2tIhl7ImlkPnUGilBkxG9n2Oe9krzzkNkNUErxpdgt7sfgSWEbsadz8IpXvILf/d3f3XJsO93jfPRkUkTlyeD//b//N+r705/+NK47/nfiui5f9VVfxU/+5E9e0HsaGFwYKGqOBYnUxvxQUYe1NR31r9W0cZ/OvZ6nP9dq2vBvt/V8PNT8F0JQDpsIS2C7CVYiiSs1Bn1F1QGn6uNLQd/uwBQxnTlLINtt7IUZBgMHVakibEVkOSi/ihWGuKUEEQzY7JSolSwUMcQCy4Wa3aMf20R9QRzbHH0MDh0So5pk7Y6g1ZIsL4/rkAGcbncxZVx2H3mqcRGUgptvvplPfvKTW45P07o/33m/qH3++F5fS4zxb7AFjrIQmeK52XzXvGrPtPMp8ue3LfwlBAI9GyvgkeZ4O0/CuLx80Y12grzxn9YK2G7XIO+5AImUbEQm2fdSw3Vd6vX61HYLCwtYlnVOZObMmTPnRHCeLD74wQ8C8J/+03/id37nd3Y0PgODywELSYh0bHBr40q9joOybUQYaou4UtEGflrNt1TSNKDUGajV9Hzp+4g4RpRLVIINYmx6kYcfhbi1CnE/YsZuM9MQfHi1xzQL+zoPVH2B06sS5dl0SnNYvo3oD1Az8/RCAQnEwsZyBAMlcUVMU5YRgaDmdPFlwtm2z6AtmZsTOI72baJonKYAWsk0CCAMFRuzfWP8X0aQUu54Tn0i8/6+ffsK29u2zfz8/LZt9tJaYgjLBiPUpYsuHjFZjScblc22kXJruxTZNvlIf766Lypz0rYJhWCQTDDu8xqkRXqiWeSpPmmbSaGGIk9HCL34uS7rQnNYDS480v8t017nA9d1efazn81999235fh9993H85///As4+jHe+c53Uq/X+fKXv8z73/9+ej2dNKjO12E1MLhIuLbb1JZwSvGpVGD/fpoL17Pm79PfUw1/ITQlKAx11H9hAebmUGnib1rca3jekopKfw2r38WRCTIKodMhabVY3b6gLwD7PRsZhVxbWmOukeg+yiWsRhW7vY5Pl34vwXMTymXoDwStvoNA4doxli2xVMjcTMK+fYqZGV3gK1Uy7fd1TkC6sdHrAW5krKSLhJ3M+ec7dT6Ref/2228/p/0HPvABnvOc5+A4zrZt9tJaYiL/BiMsOqVzzNlJvP30c57jn6f0wLnti9qAGtvnw6f8bK8gyp+Pxk8aXF6as2gweUcg/VyUTJweG85CR0Lz6OwmdmLcn++897rXvY67776b5zznOdx+++384R/+IceOHeOHf/iHn9ggp2BtbY3v/M7v5IMf/CBCCL70pS9xww038MpXvpKZmRl+67d+a1fua2DwRLGsAtjojyv51mrQ79NwYuK4hTrbQlQq2rDvdHTEXwj9eWj0J5UandClNNjA6fW0Rb24qMPp/T6srCA6HX2sXqcVJdDbvnquIwReHNJ3qzhuiO/DYOAS2gorbGM1m1g0mZ2bJ1RlFOD7gjBUOEQ4MibExS3Z2EGPgAphJAgGCUIKpBSjdAbPg+uu06yns/Q51bwof/qrHjul/Zwvps3799xzD48//viogu4P//AP8/u///u87nWv41WvehUf//jHecc73sH/+B//Y9Tnf/2v/5UXvvCF/Pqv/zove9nL+Ju/+Rv+8R//kY9+9KPnP8AdYDfWEuPTGoxQE16hmlbeUM+2yUb9t0NRHkE2oC4loNKnX4CQPLqhSaBu2n/RtsN2yKv8ZK9NjxeFE/KzUFamyLJQUnI8NlH/vYaXv/zlvOUtb+GNb3wjz3zmM/m///f/8vd///dcd911u3K/1772tTiOw7Fjx7Ykar385S/n3nvv3ZV7Ghg8UViA73taqUcpzYFpt/VcGEVYnZZWAQoCaLdJHBfl+3qnQClNBYpjrE6Lqhug6g2UkFoRaH1dOwignYpeb1Q/4Fh7usrPtSULUa8jhORMMEsYCdyS3qUOLZ94fhHVaCDjCK+1hqUiLEtR8WJKboyTDJBRgAgD5GOP4a2doOoFzM/EVEsxpZLCcRjRgKpV7Zs81unu7h/dYNcxbd4/efIkx44dG7W//vrr+fu//3s+9KEP8cxnPpNf+qVf4nd/93dHGv8Az3/+83nPe97DO9/5Tm699Vb+9E//lPe+9727ovEPu7OWmPClAQASgVRyxLzJIy/PmTX6k2Sy2s8k9Z9srsD4vEAoBSohUXCmryP/h6suD8O5+u7ZG0+S+CxCkexQ/ly+n9QZiGO6CSjz6Owazifh93zxIz/yI/zIj/zI7nSewwc+8AHe//73c/DgwS3Hb7rpJo4ePXpRxmBgsFMcrLgI1dAhb8tChSF0u4izZ8cR/ijSRrvngesT+1WsoIvIcjP6fWSziVuvQ6cNkaevn53VDkK/r3cJABUEHOsPAz7bja1koxKFW7GpJX1o9nFlDzEzg3JtZLuvHZM0J2EwQDoS6VrIMEIKgSUjaA0TklUC/R59q8xmUyKs0SYHUur3IEroxbs0ERmcg92K/MP28/6f/umfnnPsa77ma/iXf/mXbfv8ju/4Dr7jO77jiQ3oPLEba4mxYAwAmBE+USTO4eEXafLndwFgEpVn67n85yz3Xx8QqChCAO0wGhVTP1AeGv9pB1kqTjYqn3Y6CZOSfSe1m7BDYKr67i520/i/mOh0OluiNCnOnj07VZ3CwOBi41C9BMLVFXyjCJaWIRjA6qo29kGHxFstiCLk3Bzy8aP6gXVdmJkZF/qyLN1PWh04VQQqlbQqyrB8fGC7DJheQKviV1hdDQgsh/2VFkJ0IQhR/T5xdQZsFzk/r4NHQmChCMIYhE4QVZ4PQqDmfZJylSCy6A5cLEcSRBIV6ml/dlYPNQxhI5q+I2Fw4bCTef9KWBeeCHZjLTG0HwMA5qSWOUht42yAfSdB8vzx/Od8sD2/czC60fCCx7o66i+AipMztp9Ihdf8DyvyUopmn6xXE0UQxzyqjM9sMB0vfOELRzxSYJhMn/DmN7+ZF7/4xZdwZAYG52LO0fVLUvUeZVuocoXkwDVsVvaRLC1rw962dXLvzIxumyR6tyAlzacJwbUaLC1pGZ0h15+VFVQQ0Jc+QbnBY/F0w6UmbSzP5pHTFY5/qU8SRigpoVZDAPb6CgpFEFv63krnjzl2gqViVjYcjpx0eOS4w2bHoS+rWK5Now6+r5ivDyj5CWGo/RXb1r7O8e4U7VEDg4uE3VhLjBVjAEBFOqDOtauL+P8wNuQnFQCbRANK2+bPqWRY4sO2UUpxtKUTwJZ8G1kkIVSUrJt2mt0dKGpftHtQ9OOy1w1L1gdAr28i/7uNKyHC8+Y3v5kXvehFPPDAAwRBwE/91E/x2c9+lrW1NT72sY9d6uEZGIxQkmC1W1Cvg2URY6FcnyRSRImiOjhDVKnhzM0j0mqqUTSu5htFOhfA8+D4cX3M9zXdx3E057+v5/RYunQiH6EkR5vTs2mvKVXoNGOecbPCcjxkp4Po9aDfJ7YdhOchymVUAGGvi91rI+Zm6QYOJS/BsqDdllQqo3QFZmdswr4gSRThwEYkEZWyTamsFzQhFOuBKe51MbGbtJ+9jt1YS4zxb4AvLKSQOs92ohrPZJ3+SaqYeapP/phumz7NAlAoIFSCXqyP31jLRIaKjPO88V5UYKBIwz/fpuj7eJCj9xVT1XfXsVPaz+W+ENxyyy3867/+K29/+9uxLItOp8O3fdu38aM/+qPs37//Ug/PwGCEG9UA4VVQrRYEAdLzSBIPe9DFDQPwHCxLwfyc5sufPq2t6MVFBn4NZ20F2WzCiRM6mTfVykyzZ4fKQQqBinRel+j32IiCqWMTXQ/L7WP32jglW2cHeN5QetlhXc4TrkvKZYXj+Di+Db0e9dYKUW2WqleiVrHYbEksS+A4gl5fz+PHjmmtf9u2KJehMaN9lVObxvC/2DDG/2TsxlpijH8DluxyYbQ/G/TejtOfvaboeFHEf4uTMG4NQrDaGcu+zbkWpOz/vGRnfiaI4+2TeSddlz2XHXhul0AlCV+OzCNjsHPMzs7yDd/wDfy7f/fvSIb/jj71qU8B8M3f/M2XcmgGBiPsb61DydISN7YDp04iHQcRBtqIt20d3U+LDHmePl6v47baxK0OQoWay58WAXMcmJvTlKAwJK412OzazMomc+0TNBOA7aukqxhWzkrmG2UqXg+xuTnKHWBzE6skmfM6dKnQDyVCSmIJVqWCCEPs1hqyMcs1+8r4XgLSxi8Jej3dxezsuJZZr6d9F9uGI4PpeQgGBhcTF3otMZaMAXXpF0bzi6g7+e+TNPyLrjsXShv+AkgUoA3zRze1vFpZClwB4STFhTy9Jx3QpATg/E7BNM3/9JyUoBSJlKwGhvKz27hSEn7vvfdevu/7vo/V1VXyxViEEMTxDiobGRjsMgRQcR04cQIRRZqqUyppo311Vc9/jqMN/m53nOBr23D8OGJjAzvNBej3xw9wHBMOQizPRw76iE4bV1Tpn+3gWyGPhwLk9sb/TOITBIKzq4pGNcKNY8Tp04ysd6UQzSaVUolyY4ZkECCDeJRkHHtllK/r19RnBI4a0E9cBgNBsylGqVz1umYphaHejd5UvWkCRAYXGCbyPxm7sZaYhF8D7MTaVhUztX+zhv05yboF2E6AR0qQqZMAmu8PKKU43dVbwddVhwtD9h920VbCpJvkNfzzVmXeUSgafHpPKdlUArMiXBxc6Aq/lwKvec1r+M7v/E5OnDhBkiRbXsbwN7hcMGc7iKVF1L59et7r9+HRR+ELX9Ch8MFAq/acPElydpXPrczTduqa11+pwM0368TemRlYWiKeXyQ+dB3s2weORywdktk5xKBPuXcWL2pDr8cjTE/2vXVmQKOesLCgkCVP5xt4Q+nQtMaAENDvI86uYG2sIZpNPd4wBM9H9QdY8YASA4Tr4HqSclnXCOh2IY4UcaSo12F5GWqzMbG4Sq3MS4h0eb6QFX6vFOzGWmIi/1c5ZqRHkgiiSKuzFUXts4m92WPb2c1pMD2V4s/3u5VOrzsRStEJxhKfB6ve1ovyM0BeM3S7QWVvmiKV+tzh9UdDY/gb7Bxnzpzhda97HcvLy5d6KAYGE3HA92lZDtaMxD99FEuIYYWrxxgS4rWRHYYwV2LQ8oiFQ9Co43Q3Ed2upvd0u8S2C+Uya70S9WqCc+ZxlOPSixuUhUS0NsF1CPwGQXd67LHe7/CMp/QQvo8dCPozS3RCj/kZvbOA5+ks3mZz7Ax0u9oxsW1sV6KGC1Avcgg7EaEQuK7k0CGtWmpZUPFjegNJGAoe2TASnwaXF3ZjLTGR/6scC04J2y7OpYXtef7WUFmtKLE3i2xubtpuqzqQ/qCAE51gdKTiOVvlhyZpi466yd18u8zkdGApsuo/BTKiCjhmqvpeFOwkArQXokDf8R3fwYc+9KFLPQwDg21xSHZIkKxvCJL5BVQQ6ADMzMyoYFZaPEs2N7mt8SiN5uM4m6soxyNRimR9g6Q/4GzTohdY+E7MmZMxSa+PFApn0KWPR7T/WuLrbuRxf25HY4tqc2ycGtBpQ8+q4NVLlL2YfihJ6jMk0TBY5HnaOXEcolIVNTND3JglcV2wbBLXJxI2ynUJQkm7raf5ahV8X9Ds2KyuSc6eFaxERuLzUuBKmPN3C7uxlpjI/1WOCh7DeivAuYZ8iqLof5KM6UBpm+w5IXTgaBKUGpr9aszheHhTJ1otexYyf4PsDkC2kxRFzkE2uj+Jh1SUB5B+jmOQkn6iiM3jclFwpXD+f//3f5/v/M7v5CMf+Qhf+ZVfiZN7GH7sx37sEo3MwEDDUQne5ib+vKQxX0I1exAEqGqdeLGK3e/oh9HzQCm6sYMXdrDCENFqgusgSiX6TpWNpM4//F3MS5+zyux1NcqzHtRuIu71cPsdVMmnm7jEPXi8szMDe6VfpbYgESrGUSFdUcZyu/hBC9UX9J06lq1wRFOPOwxZDWaIm2VmGuAQYamEOIYwFNi2oFTSmwNnzujNgiAYK5aGcUJ/YCh5lwKG8z8Zu7GWGGvmKoaNgFiQ5GzrSdr9aZtJ7fLR/fRYvmDY2NYW6MLuAokiTBT9YXLv4ao7MrxH2IlFuJ3s0HZJCJPOD48/bgp7GZwn/uIv/oL3v//9lEolPvShDyEy/zaFEMb4N7jkOBT1EI7QOvxxTL+xhLJrlIMN5GBAEgRIFevzvR5epUa4sB/he0gpWOmUEf0eC7UmMrG49Sscak4PW1SpR+vEHR+7VkGVXLoDqQuHxbAy2JmUpmvF1HtnEYB0ykR9wFaoIED0evgVSaDKNKlR9zsI16XRcBkoiWUrRAIijnClYK7hECUWrbYYUVy7Xf3u+3q5GdghGNaPwWWG3VhLjEVzFWPOKmFZojCCX6TokyR69zeLomK76fdsn3kIoYYKP/qzAs72o9H5hZLLSOIz28l2Wv5PNCww6VopR4kQj3YM5edi4kqI/P/cz/0cb3zjG/n//r//D3m+FakNDC4ClpDQa4PjoDY2UVYNqWIip4RqVIk327i9DaxqFZaXsVZWsFpntca/ZbFUqdBTAqU8luwNlhb6uq/2BlEsaK2GtB5X7DtoUapIghj6Kpo6riQCC/DdBKtchzhhgItd9bBcSb9ShaCHrxQijkiURceqUZIdbEsRI0gUuI6EzgDiGNHpYJdK+H4ZpQQiCnAqNsISBIF2CI41DeXnUmEnkf8rYV14ItiNtcQY/1cx5m1/YkGu9HMWWWM+pQqlFI1ssnDRtbCVs2dZIEeOhFbROTKU+PQsgWNbxSS/7ACLqvTmKT7bYbudgPS4ZRElitZVOulcClwptJ8gCHj5y19uDH+DyxZ2aY5eP8F3FXJtDc/2oF7HGnRJKh62CAh7ASLuI1st6HRQlYrW819fhzDEP3SIqNJAiBgRxxAEiFoNB1BWlX/5hMs1HXjKUxSOAyc600Prhyo+p4BuV+A7kmMrVWxbECcCKaFUEqyvV5ibTdg302c23oCNAUmrhVhcwqo6DAKJKwXScfSE0mwilMKf8en3JX5Z4ooevcSn2dTP6GZiwv6XCob2Mxm7sZaYVekqRkk650T8s+I3WXpP1r7O03jS9yJafda5kFInCI+vH59MgFNDic8bap7e1iq6cUZ3v/Bm05Dn9Odnk6wTkSQQRawOpkeqDAzy+P7v/37e+973XuphGBgUoqoiZpJ1mqX9rLCE2n+AyPGJByHJIAQlEHMzuITITgeGBbaia64jOnQYDh4Ez0NFCZYjiSyXM3IJNTevk4SjiIVyl3//lRvMlPqUvISKE3JiB3z/Q40SAMdOOTy2WuLhhwVr67AwE2KLCMeKufmmBL8kaPUdEgSq14NymcjxkMOlZaNt07NqOnF5ZkbvAGysUfETOn1JKywxGEg8TxDJsdKcgcHlhN1YS0zk/yqFLyyEEqPJLl+kK0/7yXL48/SfNLk3iyJ2DqT2uxqr5Q877wbhaCzXlN2t2v75G+WN/ny4IDvYop2D7I8q6iO7e5AkPGKq+l5U7DTyf7lHgeI45jd+4zd4//vfz6233npOktZv//ZvX6KRGRjA9WEXNwxYll0937YivP37CUMI55eJ++AnbeT+/ajlZcTx49Dv01/tYh9YwDpwDeLsCu3Yp7NugxL0egkVz6Psa7WHQLgsLHRZTtoQ2wxw6CbTHlyFHBZTnCkPuG4h5KbrHFSSEFsOc7UQYUkYDIiwiJ0ysaxh+R6JWyYIJa11SakEQaCoujHdvqTZrzNTjZFJhBBgW+BZCZ1QYktFxzJVfS8ldjLvX+5z/m5hN9YSY9VcpViyywghtgTNi+Q9JzkFWf3+c6U7x9fmMb6HftLF8MCJlp54BVB1rK2UnqIOsoPOvqfqPpOQv16Ic52KzOcEOKVMVd+LjSuB9vPpT3+a2267DYDPfOYzW86JoofDwOAiYt/px+H663Sl3PV1aLcRGxu4cUwS9QjdKqK7AbUaiedCY5ZofhlPKAIlSAYB1vIya18coCqwuCyZnQGrHyGAyPKIEpvEr9PvJFhITjWDqeOaJ8YPWgDUyxGy2UZEuh5NvzyP47rYgJKKVley2oSlJZ9G3UVEEbYtmZ1VbGwIVlYEnm3heNAPJL1IYkubzVWJ4wiiSJDEijiBY11j/F9KGNrPZOzGWmKM/6sUsxm+P5yrwZ/FTv5tZalAeSchK9OfQiUKmTlwtNUHYMm39fFsB+mMkHY2KQ8gSw/aqQOQ7yPn1bTjBGWq+ho8AXzwgx+81EMwMCiEUAmVzXX4dFNX511ehjBEbW6CZSEHA7zKQGs1t1uIpIpaXkQ2W3RjH7tmI6KQoO8SlBq4MqHsRfQCm+OrVWb8PmIAQayYn42JhU0YwKmgO3VsN8oYP9bUoFnZwgn6UHIRKHo9WFtVLC0peoFPezBWlFs5KymVXFw7xncTosgijgVBLCmFPeLQo9OV2LYgHIoNtVqCjQ2BkjHxzBUQcTC4IrEba4kx/q9CCMC3rHPs40ma/ek52OokpO3ztne2XYqxXa4/KNQwWC+IEmiHejDXZ6v6FhnwRVSefLui7YzswCb1ne0vjkEpHovNI3KxcaUk/BoYXK5Y2lzTQZbBAE6d0mL3lQrMLxDOLeGcegyOH0dUKlAuIy0LFfSRa2s0hIB4BpQiTALCwEdGIf2VLuWGx42HPVotj0hZNDdgpq6TdB01YDWYnlC76Fn0e3retohQ8/OIMEQ6Dl7QQ5XK2I6ilITUapJy2cK2tVxnuw22bdESsLGh63612wJVKSPtcQHgdH4Z1i6j507fkTDYXZjI/8WFsWyuQtQtFxATVX2gOFo/aacgf13qGBRdByDQFB01TPhdG4wXhIWSU6ziA5NVfKZp+Be1yyYwTGijhOARo+9/0WGMfwOD3cX1xx6GYEhzUQp6uriXUApXAGdXoNXSE3mlgqrWUK0W0rbBdfVLSsrNFjd5xxm0Q6zTA8SmRBw4QCMJSTY2Kc/vI17pMiN7dPohSlS2HZcjwS2XINE7BEkYIVZX9bzcaNBweiAcNpsOlarFgjOgF3mcOClxXV2xN80nPnUK+n2YndXHNje14V8qwcKCdgxsWxv/J0Ij8XmpYYz/iwtj2VyFWJBlYHvDflLyb4oijn/WYUi3YrOJvqO+AeKxgX9kQ0+8viVwrGHDSQ5AEfIOQtHnLNK+J523LLAsQgRBaASxDAwMrizMb65CGOj51fPgK74Cjh2DtbVxyDyFbUO/Tzi7iON5iEFf52qFIWpxCavXo9pcRbiunls7HRAC4TpYq6cIrCrtLnwmmQVv+wj7dZ4Ev4Roac6/U/a0BT8YoCwLUa9TLguCBOyoz0B4CBL27xNEsc5hK/kJUsLysiSO9fDLeskbRfrTHYAogiBUdGd3VnTMwOBKgTH+r0JUhDsqnluUpDuJ419UwTd7HZzrAGSP6XuK4X0FQilUknBiKPF5bcUbs+uz1Jwnmhy50x2BbNtMu1ORCTNcKlwJaj8GBpcj7DjCXVyAEyf0vBfH8PDD2ugvl3X4vFTSIfPZWeh2EXNzeBsrejJvtbTl7PvIXk/vGgDh4j66oUO80aF6TQMlJA+vKo4+ZjFIXILrVqYaHMvCIhgkRLNL+sAwVK+ShLhSR0gbi5ggsHGrPoSwsWnheXpo/T5sbgquOQAHDuik325Xpy5Uq/pdKc12Wl3Vxr+a4pAYXBwYtZ+LC2P8X2WwAEfKLfKcRbb1dso9ebXMvCxompObZdakx+JYc/0tISCJ6SajQr8cqnqTdffTG+cN+iJOf5Ei0KT2+ftk2j8amaj/pYCh/RgY7B6uXV9BzM1pgvzZszoUvrqqLWIhdKg8zQfY2ND5AJ6nHYM4hlpNW82uSxLFiJkZcFxkxccWFQKnwokNm1nWqYkIy19i0Q84XS6Qb85hoz1Dw2mxsq5zv1SjAf0+QkqUbSNsCzHoU/Mlm00XgLU1xeysIIr0z1BKcOSoHu7mpvZj0vlESu0EtNta9j8IYM3t784f2uC8YCr8XlwY4/8qw5xTwrJEoU2dfoZzaTvZ7wWiOFuQV/hJz9u2AgVKKRQCYTuc2hhzLWuuDSpTZUzKc/X+t3P9t3MG8u9FSAcuBDGwmhiVHwMDgysL1548ArbUlnKjoY39lPzu+3oetG0d9W+1tIW8vs7Aq3LqrM115VXdUaeDqNVQc/OE0iXAwbagVLFw3ATfq1OvrLM0f4rNXofTlLcdV8Oy+ed/tpm/c4Z9+wf862dB1eqjxcQhRiWQ2A7tZkKvHzGIbWo1wWCgo/5KadXSJNEiRr2e9m9mZ2F+Xk//Gxt6WdnYgCRR9A8YiU+Dqw/G+L/KMJeT+ITiyr3TkI/qWwVS+Fma0Mh5kIDSvH+lFA9v6ol33rWRaptE30mDyLaZFPHPI5UCLWozHHQzSjCPx6WDifAYGOwOGiundfj7mmt0WLzf12HwdltP5N2hHGevp52B4cKgPB/VqLPqV5gLVxAPfxkxN4cY9JEqYr3fwPMlSaKQUkLYR6yu44Y9jjl1ve28DQ6XbZ7yfMWZM2Dv08e6kYu0PByZ0BuAXXEZUOLMpqLXt7CssY9y5oyO9Kdxo1On9M+qVuHxx6HZ1A5As6l/pm1DqxeDZbgklwNMwu/FhbFurjKUhXPOsazRnwl+jwx2KOb4523v7O5BnhK0ZXdg+IQnSUI71JH9G2reVr7HJK3+nSQApwPa7nvaf/oD06q+QQBS8mhoHo1LBUP7MTDYHdTam1i9nraIpdTz3ewsHDwIn/vc2HJut7U1bVkwNweOg//lz3FgbhkxswCNeeh2Ui1NnDCkXnH4/MMVDi0NmFuAgbIJSjN03Dkei6Yn1Da8CrPlJtFSiWi44VtRbWSjTruTIBsWpzcspBT4JV2YSwjN419Y0CylJNG+S6+ndwAcZ6zu8/DD2gmYm9NtlQIxG2DInZcHjPF/cWEsnKsNamtV3zyKePpFGv9FOv55ic+8A6CGEf90AOv98YKwWB46JWkHk4oGZDtL3ydx+bMzySTef/a7EGBZKOC4MkuCgYHBlYXr2ut6jvU8bfT3+zoUvr4O112nuTCNBpw+rUPjOlFLOwNBgLuygpJPh337UQcPIs6cgVaLOIqpLCYsz8fIXge3F+LU6nRm5pCEJGc2th2XLQSe69BXFjJOaLf1PB86JYLAojWwaZ0VVKt6WFU3ZKme0IkchLQQgtG5MNQ7AGGofyZoH+baa7Vj0O+n65KCeSPxaXB1whj/VxlSw74oSg/F1J+sA5BeUyQNmrZNv+epQFIy5vArxfGW1ve3hcCVQz5Q1hDPJhdkB5NX8JlE3ylCkfOQ7de26SeK2MSDLhl2Gvk3USADg/PDgeYaPP3psLg4nou7XThyBG6+Gfbv1ypAvq8t6STRFnTKlQHEsOov/b4+f+AA0nboqhJzjZDKoI9SFqLTpuoGPNyd/qAeqpUQQpAkglZH8q//pq9Z3XBYXJSUSgrLUkSR0MP2XVqDBN8TSEsRxwLb1r7LgQN6aL2eniPKZe279Hr6J1vWMLhlK5JStDt/aIPzhon8X1wY4/8qQzZpN0U2DzZrvBdF+IuuTzEp8XfLcaUQSYJSiuMdbfwfrJToDmwqXkhBt1uN/KLj6bmd6v1Pog4Nj5+MjeF/qWFoPwYGFxZCKcq21Dr8tq25L66r1XvabfjiF3XSb6nESAs6CHQYvdUa82fabR1Wr1a1Rd3rIUpQidboDSSbHQtncQbhuAgVc7y/PnVsy14JKWFtQ3L2LNx0U8KnPz3m8C/MJVS9iFh6RJH+Cc2mJBwKELVamuIzPz+O7Pu+9ls6HTh6VP+0IIB6Xf9sVQppGk2HywZG6vPiwlg5Vxmyge68gZ/n9xfx9YsK4hblAmQpQKOdBTVuNFCCVEb/cN3BcgSBclBCjpqdc7OipN7sj5qEIq8k/z4cpBKCL5l6LwYGBlcYFgYdZBhquk8cnxtUKZfHYvmzs3pedIZ0zFpNv/d62ppO5XIA5Xkkjouo16lYA5qDEqfOWDi9JnbcZz2aZtHB6gkbUCP/ol7Xp5aWFJ6b0O0JepHHQw/BY49pw37fPh3Fd12t6LO5qa8plfTP6PW0j9Lraadgbk5fU68P+5/tXqg/rYHBnoOJ/F8lqAiLPluj+1mbOa/NXxTZh63XTWqbT/7VxxSgEEPP4HR7rK3csAXS0tuvQgHkZDnTG2YTdPOD2U7Lv8g5KNo1UIoY6Bi+/yWFSfg1MLjwOLx6SkfrhYCbbtJW8enTmgLk+9qY931tMff72kJOZXGCQBv9qXyO78PKCjQaJJZN4pcBgTW/wIEaHDtt07Jn6UQBsD2v3oltzq5Iel1Fv6+48UZBMKy75XuKSjkBIWm3E44eFRw6JIYRfIXr6qJey8t6IyMIxowlpTRbaW1N7wzUanDokP5ZiVK0hNH3v5xgaD8XF8b4v0qwaFc4PvxcROnJG/GTHICiY/mcgHy70f0ynR5p6Yl3zrN1wa+Uf5rdfpBSF5OZdPPtDP5sm2m0n8z3tVhAMfnI4CLBGP8GBhcei6eOa8NdKW24pzKeZ86MKT3drm4TBLpdSu0ZDLT1PKwJoOp1zaMJQ+RAF+ESQ6lmp1xh/wFBGCrWw+ka+stOBWcGlBJ84Qv61gcP6nOttmR1zaLRABDccsuwHIGnEGGAtARSOtRqgiTRwzx1Sl87M6ONfin1y9U1wRgMIJYxyrvQf2GDJwNj/F9cmBDnVYKK1DNfnrOf2thFDsEkQ7/Iccg+tFvpQ1ufVoGOuqwOlX4O1/2tA8iq96SGf6Fe6JNEkacjBEciY/gbGBhcWbBVguf7cOYMKuX7t9ta2cdxCMs1TtrXoFx3XAbXdcdzY5JoWtDSEmxu6jots3MoacHGht7Z7fX1rkEU49iKchke6043/vfVPKpV3fUznqE3IsIh9bLVgjAUNJtipNRz9iwotMZnHCb0WiGtlqLb1VH+JNFDn5/XrKW5Of0zg2C8xPQdE/U3uLphIv9XAQQgkrGftx1tJ58nm7e389dMSv7dev9ER/2HaAXjqr3LFW/rAlOE7PHtknXzbYt+UJZClGujlOJEPKUSjcFFgVH7MTC4cDgQdBFLS9rCvu4wam0NMejriL/vw/wyclPQX2vgiz4iinTwJQw19adS0bSfbldfE0UQDBBJjJASaduocoVmz6Hu2LgiIuz3iZLtH1IJ1HyJb2nDfX1diw4FATzyiKbtzM5qqk6zqTchZmb0+W5X0u36eB4s1vUSMBjoYVareujz83qTo14fOwG2DWcSw/e/3GAi/xcXxvi/CjArfVDaOC4SzpnE/U/P7ZTqk+83/S6GNJrUATg+5PtbAnzbGj/1+ch/UadFKj753IAUk2aSCe26SpCYzbBLDkP7MTC4sDjcWtPSN1GEeOgLqEYD1Wiwbs3R8EOcoMuiL8CKEOWhYL4QW6VzhsnAqtFAxNroV0vLsLEOcUQsLHqhhJMd6n443N3dPpgyK0uAwHHGtcaOHdOGPuhdgHpdzwndrvZDwnBs5EfRWI10fl77Jd2ubtPp6OGnfgvon9LtJQy8eOKYDC4NdjLvm3XhwsFYOlcBlpwy9tDNK5LIz4vmZG3tvIFfZG8XUYG2QOgLlJQoITmyqbeCr6mUcu0myAZN4yLt5Nx2sCywLB5TJupvYGBw5aHRH8pzDvUwRbmMcByqbkx3MyLpdkEKxNyMls3Z3Byr/biufnkelErE9VnifQeg10MGAwbSR1kWzqDHXC2mRA/R7/JIMH1cC3aJzU0d0W82dVR/c1PnIYOO8DebQ6qP0j5Ikmg60Jkz4/UoLerV7+tzKXsJdF/r67qvjQ3YCI2cm4HBeRn/b3vb27j11lup1+vU63Vuv/12/uEf/mF0XghR+Hrzm988avPQQw/xghe8gIMHD/LGN75xS/8/9EM/xI033kipVGJxcZGXvexlfOELX9jSZn19nbvvvptGo0Gj0eDuu+9mYyg5BvAP//AP3Hjjjayvr4/G5Ps+R48e3dLPt3zLt/ADP/AD5/Pz9yx8nHOq9KbIetv5NqlhPyknIN9P9j1L4QcgUaAgiGKC4VbwoZpHlGiHYOLF2QGmkpzTkF6T/SHZa4sSgIXgSGh84csB6f+uaS+D3YeZ8/c+fEsg9h/Uogq1GszMkFx7mOTgIZyyTc0LkElCKD0ir6J5/0P9fgYDzcfpdLTl3OlgRwPk2lnY2ERFMT1VYrMpSRAkQjLwG2z6S6xMifoDzJV0LlqrNS42PDcHX/VVjI53OmPDfm1NDylJ9E6B52n/JOX094dU/rNn9bqV7igsLo6LTralofxcjtjJnG9oPxcO52XtHDx4kF/7tV/jgQce4IEHHuBrv/ZrednLXsZnP/tZAE6ePLnl9Sd/8icIIfj2b//2UR8/+qM/yt13383f/M3f8Ld/+7d87GMfG5179rOfzTvf+U4+//nP8/73vx+lFHfeeSdxPN6i+97v/V4efPBB7r33Xu69914efPBB7r777tH5t7zlLfzVX/0Vs7Ozo2NCCH7hF37h/P86VwBsJCqW2cK6o4coNaCKKD6pwZ/fiitKFk5fRW1ADB9YhYgj1vrjcNC8ZyFIhjKgbDXO81r801DENyoeUCGNKFSKjplYLhuYheDygJnz9z4OuQJ1w43EB67hrFhk01skTqDTt+iKMiqKodnE2ziD097QJM1rrhlF+vE8HXIvl/V7ECD6fXBs7SwIQclLoFLBt2NKFYn0YqY9niVpU6vqyryuy2h3Ot1kSIdRLmsjPkm0c5A6Cp0OPPoonDypDX/L0u9p7sDp0zqnOV2bul3odBSDkkn2vRxh5vyLi/My/r/pm76Ju+66i5tvvpmbb76ZX/mVX6FarfKJT3wCgH379m15/c3f/A0vfvGLueGGG0Z9bGxscNttt3Hrrbdy4MABNtPKHMCrX/1qXvjCF3L48GGe9axn8cu//MscP36cI0eOAPD5z3+ee++9lz/+4z/m9ttv5/bbb+eP/uiP+N//+3/z0EMP0Ww2ed3rXsdXpWGDIf7Lf/kvvOtd7+LTn/70E/077VnMUJpIod/JexHtJx+Qz/aft7FHFX6lRNk2j2zqibdqSywBdhIhk7gwAfecDvMDyQ8obV9EGSriN2V+yGpkZhUDgzzMnL/3UQttrKCP3L+P2WtKOIREG21KURsv7kES67mx2dQWcqWiaZqOo5WBZmZgcRE1N0ewdIBkbh4aDUSphG0rqqqN7LVRgLJsbJlwIpwetJkXJfp9HckHHaFPa4mlOv+2PTb8y2VYXh4X6Zqb0xF9z4MjR3SuQK+XGvnaQeh2tfRnv6+dg2Y/NkrOBoWYtsNYBKUUb3jDGzhw4AClUokXvehFo8BIihe96EXn7Ix+93d/9y7+kp3hCfMc4jjmPe95D51Oh9tvv/2c86dPn+bv/u7v+MEf/MEtx9/4xjdyxx13UC6XkVLykpe8pLD/TqfDO9/5Tq6//noOHToEwMc//nEajQbPfe5zR+2e97zn0Wg0uP/++6nX64X9Pf/5z+cbv/Ebueeee57oz92zaAh/Ik2iSOZzWq5tUa5s3mk4R35/aGCrOOZMV8/01zd8xCTjPD/ISRnH2yFP9ckOMH9PIXjESHxeNjC0n8sTZs7fo3DrnDqp6IQuMZJS5yx++yycPkm8sgaOg7rhBp1t22iQlMuoJAHXI5pdJJqZQ/k+CYLNuMbpbo1EWuB5CMCul7DrFV0k0XaJvApHO9MJ/w3L4/RpHanvtiNkErG4qH2Pdlu3OXtWG/Dp7sDMzLiCb8rrj2PtLKS0n2pVv8rlsVr02bNw9Cj0nenSowaXBpc68j9th7EIv/Ebv8Fv//Zv8/u///t86lOfYt++fdxxxx20Wq0t7V71qldt2SH9gz/4g937ITvEeav9fPrTn+b222+n3+9TrVZ53/vexy233HJOuz/7sz+jVqvxbd/2bVuO33XXXaysrNBsNllcXDznure+9a381E/9FJ1Oh6c97Wncd999uMPqHKdOnWJpaemca5aWljiVVvaYgDe96U3ceuutfOQjH+E//If/cD4/WSOOx4Wo4r2jFOBZECchSukkpyjS76mqT9Z4T4+nNnH2c5YilG+f0oXSP8s5wXeVgIBuGKOGjRYdizBNvMpH79PS88MO0nZhOpPndwmK5Dyzmch5WlFWWQidjnA6EMAu/H/dg/9mRtitsU/pz6j9XF4wcz57+vmdrQ7ouGXOnu6zuKBgZgbRbqOEpBOXCD0BwsMRAcLzUNUaCpBRiIoHJEoQ2RaBP8OpxwSrqxGlr7ApqQEySWj2bcLQxkJhRxGDCDr97Y1/KcBBYXkhtg3lssJJOnQ2PTodGyn1XL+xEVKraUM+5eyHoY7wpwZ/ujudblI89pimBiWJNv4tS1+vlMJeakJ8EXZ5r4B/Nxd73r+UUp/pDuMnPvGJUaDhj/7oj7j99tt56KGHeOpTn1owFsVb3vIWfvZnf3Y05/3Zn/0Zy8vL/MVf/AU/9EM/NGpbLpfZt2/f7gz+CeK8jf+nPvWpPPjgg2xsbPCXf/mXfP/3fz8f/vCHz1kM/uRP/oRXvOIV+L5/Th+e5xUuAgCveMUruOOOOzh58iS/+Zu/yXd913fxsY99bNSPKIgCK6UKj2dxyy238H3f93389E//NPfff/9Of+4I1sMPYpXL+vMjD5739ZcKD+W+f/7z912ScaRIU8A+/KXzv/a+IdVgN7Dbqb576d9MHhd67FbXJNztJZg5f28/vx/62IcueJ8fnvLn3Ilu2k4IWSsr97GyspMRaZw9q99LpQkNjk44vkvYy/9uLtd5P0kSmqkW7BCe5+GliSJPANN2GIuM/0cffZRTp05x5513bhnH13zN13D//fdvMf7f/e538653vYvl5WW+/uu/nte//vXUUo7bJcJ5G/+u6/KUpzwFgOc85zl86lOf4nd+53e2bGN85CMf4aGHHuK9733veQ8o5VvddNNNPO95z2N2dpb3ve99fM/3fA/79u3jdKoBlsHKygrLy8tT+/7FX/xFbr75Zv76r//6vMcV3/hM4lIZ65EHiW945jgMcRljn6yyZFeGkfuQz33uPp7xjDuwLGdLkm4+kr+1Qm/xsewOwCQlISFAECOHxz90fI12mLBctvnqpfrkgls53lAYRdx3//3c8bzn4aR/93yEf1IOQBFy1z0UCr4Y7tL/zzjeU/9mtmCXxh63W1PbmMj/5QMz5+/t5/eO5z0PJ4rGWbKDgY7C9vuwsJCGxTV5vt3WhHrH0XybjY3xOc/TD6Ztk3R6IAVRYwFRLYFl0+trPvNDzU1OdrdPqr21XuNA3SZUDlEEq6uCTkevGb0elEohR4/q9cp1nZHc54EDOtrfaOihtNv6p6TR/SjS7TxP7xC027p9koCqDhgsbFyUP72Z9wu6nTLv72THVyn44he/SKPR2HL89a9/PW94wxue8NieyA5jejw/Dy0vL29RGnvFK17B9ddfz759+/jMZz7DPffcw7/+679y332XNhD7pIt8KaUYpBk7Q7zjHe/g2c9+9jlJWE+2/9tvv53NzU3+6Z/+ia/+6q8G4JOf/CSbm5s8//nPn9rXoUOHeM1rXsPP/MzPcOONN57fQIZa8Od8voxRFxWkdLYY6pbl4DjOOao+k15pm2y77LE8xu0UkCCHW6xxnNBOBFgWN85UcdIsLphq/KdwLGts/Gevyxv705SCMvkACjg2kGDtcux/j/ybKcSFHvuUvnZK+zHKD5cGZs7fG0hnNMuysTc2EIOBnpwta0x9DAL97rrj6r0pUrnP1Kqu17XDsL4Orkunto9mUKbUt/DKFp4niSI4PQin/q1mqzX6QUIYCXp9C8cZF/NynPGzHUUO5bJDo6Er9bZams8fBDo3IM0dF0Ib+54Hhw7pYbbbY1nQKIK230Je7P+He/DfzQgXed7fKe3n5ptv5pOf/OSW45Oi/m94wxv4xV/8xW37/NSnPgU88R3G/Pn8Na961atGn5/xjGdw00038ZznPId/+Zd/4VnPeta2fe8mzsv4/5mf+Rm+/uu/nkOHDtFqtXjPe97Dhz70Ie69995Rm2azyf/8n/+T3/qt3zqvgTzyyCO8973v5c4772RxcZHHH3+cX//1X6dUKnHXXXcB8PSnP52XvvSlvOpVrxpFnV796lfzjd/4jYXbMkW45557+KM/+iMeffRRXv7yl5/XGPcaPGGTJPqZy9vTRfKeWeS5/dl22WuzkqDZvgWMOLMC2BhEo77mXavYcssb/kUSnZOykov6m3Q8hZSEStE3te4MDAph5vy9i/mSyxrQVHVm95cQZ89gCaUldbpdbR2nDoBlaQtZKW3wVyr6mOPozhYXYXV1S5vyTB/bV3TEDEol9HoSrJhpfrsrBWVP8sWjEtfV/obrarGhMNSbDalef6mkhxlF2qhP65RJqR2Bclm3OXpUD7nV0mqk6c8DvdkhpULUBhPHZLB3IKWkXq/vqO1rXvOaqco6hw8f5t/+7d/Oe4cx5fCfOnWK/fv3j46fOXNm213JZz3rWTiOw5e+9KW9Y/yfPn2au+++m5MnT9JoNLj11lu59957ueOOO0Zt3vOe96CU4nu+53vOayC+7/ORj3yEt7zlLayvr7O8vMwLX/hC7r///i3bMe9+97v5sR/7sRHP6pu/+Zv5/d///R3fZ25ujp/+6Z/mZ37mZ85rfHsNVeFgWWKLLZ2+p1nzKaUna2dvJ5efXp91ArIKm1s+IxDS0pJxwLENPZv7lsTJRtmL1Hi2o+4UaPRv2QHIt81mK+d/SJKwYlR+LjuYhN/LB2bO37uoJyVt/DchKpfpJIdJ4ohloajWHayUChTHeiEIw7GMThzD/LzOoi2VtDWdhuVrNRACMTNDHDp85P+X8NKvi5mtxpxY25w6rv1+hW5X3yIbuU+ZSJ6n/Q+GY3ccTeWJYz2UalUPKwz1UNfXxzQgIXSfrdaYwTQzA5GMMDUcL2/sJPJ/vuvCwsICCwsLU9s9kR3GlMpz3333cdtttwEQBAEf/vCH+fVf//WJ9/rsZz9LGIZbHIZLgfMy/t/xjndMbfPqV7+aV7/61ec9kAMHDvD3f//3U9vNzc3xrne9a8f9qgID8p577rniJeDm0IlqRXz8Igl8YLRLkEdR26yBlkb/z6UHSVDaKzjW0sb/dTW/2MMoMtwzOvwjFDkFadsiQ79otki9H6V4NDYrwuUIY/xfHjBz/t5F64yO2luWNpBnZiBJJK4ToJpdVKWCSA379fXxYqGUtsLTyFAYaoO/VkP1emyoOpWajRvHlFXAS/6DRfjQY3hVeESVwd4+8XJ/JiF8bm6chiCENtbLZT3WL3xhPIR0AyII9C5AGI7ZS66rr00lQVN/xbbHP6nnmMJelzsupdrPTncYn/a0p/GmN72Jb/3Wb0UIwWtf+1p+9Vd/lZtuuombbrqJX/3VX6VcLvO93/u9ADz88MO8+93v5q677mJhYYHPfe5z/MRP/AS33XYbL3jBC3bnx+wQT5rzb3B5omp5o4BOOoGmSI38SUZ9djcgi+0YOOl150AIBnFCMrz/wYozNtK3S8zNbiMUHc8PbCezQo6blABnEhP5NzAwuLIgEoE73GHd2NDyl097GnieQCYxljMUyB8W9KLb1YtCHDPi4qSGf6sFMzMk9RnUYo2asFjbtHFVTH2wgj/og+iQdAVr1ZmpY6s6kjCGG27QXZ85o9/n57XhD+MiXykzCbQDYFl6eKkT4Dh6l8AZLisbG/oneN6Q598e/ozDRmHMYHvsZIfxoYce2lKk8Kd+6qfo9Xr8yI/8COvr6zz3uc/lAx/4wEjJx3Vd/s//+T/8zu/8Du12m0OHDvEN3/ANvP71r8e6xLkgxvi/AiEQ+JYkZqs+fxZ5GfwkyVTjZXw8v3OQdRjytPzxZ0UUjfs7kyn4UrMKaDtbBi+2Dqxo8Nlrp6n6FH0e/lFaiWD3RT4NzheG9mNg8OQwK0skw8CGUrC0pI3sQ4cEgVWhbZWpV/o4YR9cF1WrQbWKSNV90lorm5s6hJ4kRIOIblKhVBb0B7py7g1OQFn1kKUSzVIVptAo51yHih/TDQRr63JLBH91Vb87zpjzn9KBgkD7Ib4/dgyiSBv+aaGvtH1a3Td1CJAJuGZCudyxU7Wf3cJOdhjzu4pCCN7whjdMVBo6dOgQH/7why/UEC8ojPF/BaKBR5KIc5JxU2RpP+nDlm6r5lGUHDzpWPa4JRQqiQHBIxsdAOY9C2nbeqaelEE/jeefdw4mcfon9Z3xaB4zfP/LEkbtx8DgyaEc+lTrcPq0fpY+/3m4/nptLCsFR44I7H7E7bd0ELaN8jxUuYasVElW1+iJChU3HMl7JvUGEgExrK5LPDvm8HJAfzCPI3XG7tGBgmh7eo3fKzOIbdZWFZajaDYFQaDH1WiMC3el4i1BwEhpNEnGBb5SIRohtEOQBqn6/ZTepPMELAtUZXq1YYNLj0tJ+7kaYYz/KxBzsjyKhGQdADjX5s5SdSYpAOV3CbJt8zsB+rxACIVEJxyvDZV+Dlf9rSWFpZz8tGc7zR/f7tgkClDBTsERY/wbGBhcgdg46aDqehGQEm6+WSfKKqUlM6tVmDtYhjkbmptsbEpsX6vveL6LZwlCWcYulwmUQ7cnaXUltq15+r2eRaQ8IiVJZqqA4vHHz0wdl+x6HDkqiGOB5wm6XU35aTQ08yiN7qcJv2mBr1QRKNXtr9fHmxLr62Ot/+wO9tyc3h3oLBjKj4FBHsb4vwJRFs6osNYkyc7ssWyeV3rNJMpPvp8UWz8PdW6VpJmR+FyuuJMHnR3YFs3QCZz/IkrPdknDsEUVKFCKgfnnf9nC0H4MDJ4YrNjCkpIo0sZ/q6Uj582mVuxUSlGtCvyyRTP0GQgXqx5w+qxFrSpYmJ1BxBFONED1Iywroa76+LMz9DoRq6ueLgegBKVSgutAohT9ePuH1pEC35H0egLL0km+rqt3nYNA8/03NrRR3+9r473V0ka95+npvFLRjgLo4+lORjrFp6kL1WrqBCgiz0h87gWYyP/FhbF+rjDYSiKUJH1G8oZ7UfXeSSii+RRx/FNHYXQcIFEg4GRbbwPbQuDZ1uTCXNO+Fw0u+z7pWNE5pVgxKj+XLQzn38DgiUNulpib01Hxs2e1Yb2woCPqtRrsW1ZEYYLrW/R6gi98QXDbMwRVIRgEgmZT4TmCVlKhSgdn0CFMJJ4TgRXQ6tk0Q4tGKaLWkAghWemFU8d1oOJz476Ex05IpBT0+3pMBw7A2ppus7Sko/vp858q+4Bua9vjxF/bHk/rKV0oSfQugONoh8GtRmyaDd49AWP8X1wY4/8KQ53SaOsTto/0b2fQ59V/sph0LE32BW34oxRHNvX+7cGKi0gpP0XR+CeKgqj+OYkI+RfwsKH8GBgYXIFQmz7NQEe/QUfKS6V0StRzc6kskEmI8iye9SwoWwrHGbAS+aw1HfbvU9TjNskgQrku622feN3FcT0UiloNotgijASOozi22Z46rnm7jFeSXHsoodcTxImk1Rqr9sSx3p2QUjspSo1yjUeFKvt9vWOQ5gRUKuP1yLbHRb4aDf37T4Ym6m9gUARj/F9hmBX+SEUznTCn5dBmHYRJebj541kHI68SlH6IEkVvuBV8bd3fnq+/nVznNO3+nXD8M/0nwKoykf/LFSbyb2DwBKGg6tmcOAEHD+pDvq+NZc8D1xV4IgBhEQobz44Qjk2UeKg4olxSOI4aaTLYxKAEftnm5FmB4whKJW1020mIFYaIQcyJzvTIvx3ZtFoCy5LYlqLZTNjcFKyuCioVrdJTLo/TwgYD/TlV+Gk0tKPQauk5olLRToPr6rapzr/r6us6HcWG39nlP7jBhYKJ/F9cGOP/CkPZskfqldmCW0X28jQufza6X7SDUJgXkJ5QirXuOOoy4+b+qRXJBuUHkD2e6bfwc1H7ot0AIWjFCQoT+b+cYdR+DAzOH1Vhk8SCQ4fGVJpyWb9SuUzL94gj/fzEOIRD3rzvOVQqMWGgjfwIH9uNEa0WtoqwrEVarTGfXioQKqGPZNrjakUW4UDQA5JE0GwKhNAOSb2uA1WVin7uo0i/QO8A+D7Mzuq25bK+fxTp4+nugOvqz4uL40JfwlLEJoqwZ7CToI/533nhYMKfVxB8YWNJOeJDZo3/Is7/JONpEsd/Erba6uNOj7a08V+xJbbMdVRk4OcpPOkWRtaIz34+X8QxRBGPmTrvBgYGVyBuqEuuOZCQJHDokD6WGtBJovn0Yagj5lGk1wnQibNxEOMmA1w7odMTDEJJJFy61SXceomSE9Hvaz1+EoVwHShXOBVPH9eiKLO6Kuh0tFPS6zHi/C8u6vHMzupCX3NzmvsPcPiwlu50HD1uKbWj4Pv6XUrt1KR5ApXK+BVYRuLTwGASTOT/CsKs8Lfl9qco+r7dddmE3u0pQlspNic6Otn3hpqfbzg5OXe7pN1JKNIgLdoxkBKl4EhijP/LGYb2Y2DwxLDfFZSu7XP4sE9rI+TYMf08pZVyHQdsW0EYYUmbwUDr7Ps+lCoCBhGRcDl2DA4etJAlnzBSrHcdGrPwtBml+fUMEKHe6T3WnM6r9yOf+oym9tRqOoq/tjau1OsPWaHlsnYKzp7V1y0tjRN+hdAR/m5XOyD1ur42ScaVfRcWxrsAZ2Ij8bmXYGg/FxfG+L+CUFP+Ocm4WV5+ikka/ZNqaaUoSvTNXiuHSb5CQTeKSYYP6v6quzM9/6x8UHos2yabaJC9eb590Q7BsI9QwcBseF3WMMa/gcH5QwBlx0b0u/hejFQtAJxkgOuBLFuoBJyoT2y5bJ4dsN72qNUF5bIg7McIr4yKbMpl/Rx2e4JSSTDvJbhOwuqGhZCC2PaplhOiBFaDaOq4NlctVKiN+2ZTOwFS6kTkwQCOH9eOwOHD2uBPi04OBnpHoNvVn4NgSDmS2vCvVvVx29Z92bae6i1LsZmYZN+9BGP8X1wY4/8KgivsUXGvtPohnEvxyav7pMgm7mbPbbdTkM0pCGOwbc3lPJVJAKvY1hN/aosylovkQrdzLjLXnzFGpYGBwRWIxZI7soRFq4WM9BwsHAtPBjhxgooisCzC2KEduBw8qBBS6OJeIiEJE1pti15PUquBbYElElwRkmDT6cLsDMQJdAcWnWg6tWbR8yjVBadP62h9OlWXSnpq7vXGhnyvp3cpskpFcaydhbSS72AA+/ePHQDb1ufKZd1eSuir7R0SA4OrHcb4v0JQxsGS4hzhnCK+flHyblEtrUm0oTzGNQMESunGx1pa4nNf2dUFv1IPoUB955wbT0rgzX/fLnGhqL1SHIlM1H8vwCT8GhicH/Y5HqruQa+DKJVQlQoAlgM9SoQqxnNCZBRQUW2WGz4Sm1IJLFvwpS+5HL42oTEjkJam23QGWhbUcSy6PUmnI1heTouzK1aG1M7tcF2jTKmqefirqzqqPxjAmTOaopPKe6ZqPZ2O5vnDVsqPbWunwPPGuwYpnalWYxT4Ajg7mD4ug8sLJvJ/cWGM/ysE81YJ0BF/2N6wh3MdgKLdgEmKQPl+dTs17EOglGKtr2fta1O+f05n/5yOpjkF2YFPQ14RaDijJArOGL7/ZQ9D+zEwOH/sdyNa/QpVv4wV9EeWsyMVSkCrYxP7El8obELmayFKRCTSI4ptrr1OkCiLJIZySdFFUK0KbCvh7LpNvSFYXFRsbuoIuxBwvN2bOq453yUZRujTHekw1EZ/FGkjPor0rkAc6+9Zo79UGu8KpLsESaIrAafxpEpFH0/Xv1N9w/ffazDG/8WFMf6vENSlNxKvLKLOZ9V+tov6b6f3n3cUpNyqoolKEELQzHBAF8vO5EHlJDinFiRIv2+56TbI3kMp2okAI/FpYGBwhcGWgrJnQ9xCCR8lBGKol2n1u9gzLrZUxL0BSoKyHZRjIaMIa9DHkhKEx2bX1gm4Hvh+gkoE6xsS30sY9BQL8xKVKKQlaPcUgynWmo0kCgRlP6FaFUgpRjr97baO/DuO1u5fX9f8/tXVceQ/CHSkPwz1zkCnA/W6otGAINBVgvt93Ve6oxDGCX1logcGBtvBGP9XAATgCAvBZD5/ni2TvhdRgPLtJn3P9qFHIQHF48NokCsFbtZD2HpB8eBSTJL0zA4iu/AUJQrn8Jgp7LVnYCL/BgY7x6zwUJ4PcYRot+jjoXxN+wm8KlFo4dLHibsEokycCOzuMDoeBFAqIWVMHOqEXiEhigQlN+bkpsWZXsIt1zSJoxn6A0m3By01ne8/J0qsrwuiGoQDxfp6ujusefqnTulo/9LSOHrvOONp/sQJHfmv1bSRXy5DqSQIAkUcqyEdSIy0IOLYSHzuVexkx9dE/i8cjPF/BaAuPeRwQs2oWm4bGM/XAMhH9bPB+O3k+dMdAH1coIAjm5pvebDqIbYzyPOdbUcNKmqX/Z49n+0/k2fwaGxN7tfgsoGh/RgYnB8O1sucPmsxO2sR+x4kin66AxuE9LsCz+5CrHn/BEOOjG1rq7rZxCmX2VcLiV2fU2dtfB+wbA4ehKBvQblC2E+IEgvHgRPr0yk/M/g6Gh8KbFsnFq+swLFj2qhfXNTDmJ0da/mnScCgdwbCcLxLkBYsa7UE7bZu43n6vVLRa9HxDUP52YswtJ+LC2P8XwGYl+UtFJzUeLKsc+U5i4z69IFK+0jbpccmYWswX3+JEsUg1k/woay+v84QK5YeSjs7H43/SW0mOAIBRuLTwMDgysSBWYfmhqDbTWg2BQvzUEFbx46d4DgJg9DHdxSi0yFwK0gkVloOt1ZDDAbEQchA+UQRDAZilGjreJK1pscg0IZ5GCnW7MH2LEoF3U1npNWfUnS6Xb0cbG7q6f/AAb35kK5XcazpO6CXjJkZfczzxoa+5+m+wlB/VmpYFVgoVgZG4tPAYBqM8X8FwE+ckV2dp/AUFezKqmNO2iHYTi3o3MRghSUBAevd8ZZro+SikkSvDzsJ5W6nALTdNWmbvOGf8WpWd1CF0uDywE4j/yYKZGCg6ZX2sIBhEin2LykcVxBZOvgiPJc4djh+ygIqXHtNRG9zgF8p4TqCuF4iHgSUShIVal795iYsL2sDO46HUXVLR9sHAxBughLbP4BR2yFJBEeP6mi9lNpYTzcchNBJv543lvGs1bRzkD7baeQ/G7RKEj2uwUAfa7V0H5YFm/0YMy3sTewk8m92hC8cTCh0j0MAUknCcKuSJuw8Jzb/OetAFDkB5xpdgmQ4KR9t6v3aim1hCQlCjnYFCm+eH/R2OJ+2OS/oESPxuaeQLgTbvXYLR44c4Qd/8Ae5/vrrKZVK3Hjjjbz+9a8nCAyX2ODyw8FKeWQgN9sCopAoSojj8VwZJZL5OVhaUmy0LLyZMlEsCSNBnAik54HnE/slpOtwzTV67tzc1FNu+k9/ZkZX0aU8Pbpe6pd4+GHtTJw6NZbl9H3N8a9Wx3r+cazP9Xq6fRq8r1Y1JahW05H9zU04fRoef1xXAY5j7UgEgT63GRmJz72Kncz5JuBz4WAi/3scs7KEbY35/nl+/k74/3Bu4u+k6yZ91/r+ilMdPWvfMFMmUWClWcjbPbXZp3qSNzJt8Gm77LbG8Fii4IwyfH+DneELX/gCSZLwB3/wBzzlKU/hM5/5DK961avodDr85m/+5qUenoHBFhyqe/T7evrbv09ApHBEQix0wGMQSixb0NsE0GvFmTM6et5oQKmkqFSg2dFBpDhWuHaCX5U4jqDX031bljbK4xhOh9N59XOuhzWrp2LXHbM+SyXdV6WijfYk0f2mU7aUmv/f7WqD3/P091TmM5X6tG0d9Y8ivbPguoqVoGsE3QwMdgBj/O9xzMrSjtV6ssfyXP7897wS0KR7ZJ2EfpQQD43v/WUHiRpF/UXaOM/3L1LzyRvzO3X3ixwIIWgrUGZF2DO41Am/L33pS3npS186+n7DDTfw0EMP8ba3vc0Y/waXHeq2IBAQBIpEgbJ9BkGAPegA4DMgTiRJ4hCG2oheWtIR9TDUxnMcaaO+3wfXFYSRxPMSgkDi+2JkeA8GECeKLuG2Y5IIGmULOasNfSnHkpy9nr637+t7pv222zA3N+TuDxHH+pUVsrBt7TikjsTGBqytgUIR1Ay/c6/CqP1cXBjjf4+jIrSOfpF2f5HBnqrz5I8VqfjkUUQLyuJES0f9BVB2LK39s90TfT4JvumNd9I+Z/yf2H6dMrjMcD7GfxAENJvNLcc8z8NLMwMvEDY3N5mbm7ugfRoYPFnUbYkdDrCSAZTKeA7ESmJJSTzQ82UShrhWwoHlGmubkl5PEATa+BYC+n2twmPbOsLe6aAj/gOLwUB/b7fhmmu0sd1XEaxuPy676+FVxUhwLY61E5Ak+r7V6phKNBhoyk6lou+VtgHtnJw+rcdZLo+j/ul1Sum+ogjaykz0exlG7efiwhCh9zBsBFaBFV7kCKSYJJs/qQ7ApH6z7Jog0BPx8ZbeCl4qOciiAUyi70ziEqV0oDz9Z1oBg/TaJEHFMUdiE/W/UvHud7+bRqOx5fWmN73pgt7j4Ycf5vd+7/f44R/+4Qvar4HBk8X+mq7sLoI+ZTmAMMBRAbLfRXR15D+xfZAWdr/F7Ixibk4BCttKsCzwfYWUCsvSL8fRxnq3Ow4Wzczo72EIj5ydzqsXGyVOn9ZrQ6ejX1Jqo96y9C7AxoY+nkp4+r5+r9e1kwHj5N7RrsOQ4w966m82NfUnCGAtMRKfBgY7hTH+9zBmZZmU4DjJRt5O/adI6z9/LMUk9o2Uw21dS7E+0JGX6+v+5OycdAD5Al07QZ7Pnz1WRCkSggjomn/mew47Tf56xStewebm5pbXPffcU9jnG97wBoQQ274eeOCBLdecOHGCl770pXznd34nr3zlKy/GTzcw2DGWXZfYKZHUGtBqYlkCGYXIbgcxnCftQQfpOuD5KCXwfXCcBFSCLRPKvqKkuriONsAHA0WrNTasu12tzX/6NDz2GKyp6UZ2Sbh0Ovq6xx+Hhx4aq8s1m7qv1VVNAer1tFG/uamTeNvtsfE/GGgnIY61k2BZY0fC87SzYFlgWYqOZZJ99zJMwu/FhaH97GHMyDG1YVK0f1rQHSY7DVnkv2drA1gWtIIxUXOh5G1tNIneU+RRTDqWH+ikvIBcEbCziTH89xrOh/bjui71en1HbV/zmtfw3d/93du2OXz48OjziRMnePGLX8ztt9/OH/7hH+5sQAYGFxGzjiLqBzjJAOH7qMFAT8quS+K4ACSOQxDryI5txVSrFr2eRKE0xcaNEFFMt5vQ7kqUEqPk3Ece0fz8KBom6IYJsZzycEYSz5H47phCGkVjRZ+ZGW3UO4428pXS0fxUy99xtKEPaULyqA7ZqH2/rx2VVOIzJEEZuv+ehqH9XFwY438PozTk+8O5aj3psbTYV/YYTHYK0n6myYTmdwcea+moiyPBsSao+6QE0OzNiiL3aZv0fZJ+f7pCpX0XJCUcDYzxb6CxsLDAwsLCjto+/vjjvPjFL+bZz34273znO5HbVbszMLgEaDgOwvdw4zYiUVCuEASCMFR4IgGhreHNgc9cSRAkFmEgiCIxTJxNQEgGsYNbduitC1otPXWmVM65OW1knz6tv4dOCFNSX7x2iSiC+fkxL//GG8eKPouL+j0MtZG/saGN/1T/v1weR/5rNd0mCMZVfx1H7xKUy+Npv6lM1N/A4HxgjP89ChcJiUBl5DizyjuTaPFFQfWdKPpkzxX1fbypt4IPVX1NRMor+eyk6EDRAKedz0X6Rx5PkqCAE4k7/Z4GlxUutdrPiRMneNGLXsS1117Lb/7mb7KysjI6t2/fvks3MAODDBYsn3CQ4CYJKopQ/QHS9XElJLEPkbaW6+UIZXlIJUDCxoZiYwMW5iW1GiRKq/2AwrLESIEnSfR7GMK+fZr+E8z3aG43KKAhS/QCbcivr2uq0P79+pwQur+Utx9FmuOfRv4tSxv1qaGfVvtNFYCSRBv/Cwt6nrAs3edG1MVU99rbMJH/iwtj/O9RzIoyQogtNvVO5D63U/opivpPkxGVEuIkoRvpp/bamrf1CS2K3hc94ZMoQvnr0h9QNAtkj0lJNwGT1rI3cSmN/w984AN8+ctf5stf/jIHDx7ccm5iwToDg4uM6+ZcVs/E7LPbSMchERIrHMCgj4xjwqHiVRRLem0xDAwJHEdTb/oDGAQ6sh5FmkrT7er3UknP8e32WJ3H9RSP2NMj7HXPJnY1TafR0Ma+lNqQTyP49brOJ0ir+jqOfimlx9DRuco4zpg2lKoDpTvZnqf7CWNFZy0qHozBnsFOgj6mwu+Fg7GM9ihqyi800vOJv9McgrzjkKmNBZxLE8py/VM7fGMwllire+64Yf5JnZSx80QMqqLtjLzEp+H7GzwB/MAP/ABKqcKXgcHlAAHUPIsDBwRidhZKJSyhSCwH5ZfHJHugG2p6qEufsh3g+2qksCOlTrLt9bRxbVnaoE7n9ySBkyfh4x+H//vRhGRKeL2sHBxHsG+fNs7n5uDAAe1MlErakSiVdDS/Xh/r9YN2OlLef622td9qVR+fmUkLeunj7Tasd43Ep4HB+cJE/vcoStIeFT+xC/4vZo32dBLPIq8AlDoO2Z2B/C5BPgif9nF0U1N+ao6NZUlUkiAmRfq3M/7zCkCTJIam8ZiG749EpqrvXsROaT/GFje4WrHoSHoDqLgK5XgoR5FECUFiMxjY1KozqFBzZ7RSjkJ6Lv1QP1vVqqLTEZRKev2wbe0v6Ci7GirrCKIIPvtZHaV/2r8L6E0ZV7JWonyN/pzy9isVvZacPj2O/6RGv23r74OBvofva8O/UtHXhqF2SNLdirSyb5ofoBScHEwblcFegKH9XFwY438PwsPCts+1lSdJfBbR7bPH8sI5WaM/KwGaPZZep5Ti8bYu7nVdzQX0BUqIcVXfSZhk3G+HSY5EbtaIgI7Z2NqTuNScfwODyx2HHYWf9Ij6AuEIhKUtaafbI3ZK9EQFq6SX93pJW9D9gUW7DWfO6KTbONbGdb2uo/5SaqPbdfTnQaC44QY4dEjTSz8/rBuwHWTX48gRuPZavU6kSb6gDfh+X98rdTrCcJxbIKVuL4TC9/Xc7vtjbr9jRfQG1kj203UFQihObxrj/0rATo3/nSqDG2wPY/zvQSxaZZQSo2SnLIqoPtOMqUkKP9nvWTpQ9h6DOCEeGuH7q77OHJNynPQ7rbpvPjE4fz6P7I7ApB0DIVhXxvA3MDC4MrEgFXavDbaNSgK6VPCqYFV8SlFIpx3QHOg50HUF0lIEicL3BQsLmurjeZpfnwZ2ajVtmCulI/5ra5ryoxT0B4r2wTAtK1OMWOBKi15P8/19n1El4TRx2HXHSbzp9D0Y6HOep9uV/DGv37b1lO66Cs9SuEmHuFxCAP1QEquIyISDDQzOG8b434OoS2+LzZyNyufzAFJKT4ppyj5F57P3yucUrPZ01F8AFdfWdJ9skm+RcT/JcM+fzycLb0f3SY8Nf/AREwza0zCRfwODYlgCvJKns2ItC6EUFdrQtVBSYgF1GVByNee/P1CUaxauClC+y2Cg6T6pss5gME66Tak3UaTPN5tasccpx9hTIq5+6NHriZF858zMOIHX8/RugG2Po/+OM64evLmpx7GwAHEiCId1xFKHIYoEni2wibFlCLaDY0c81gl28S9tcDFhIv8XF8b434Nwhv/bskm+04pyTUKRhGfeZs/y+/P9H21qK3vBt5FxfK4nMslIn8TVTzufZOhvRxXKSnzGRuJzr8LQfgwMJmO/IxC6rK22rNNMWtsmsV2i3gCvN45+RImFimJkFEFiUSpZOI4YaeWnDsDZszoqf+qUNvrLZd3t3Bww15/K968lJeSM7ivl+YP+nvaVcvbTV7+vk41tW7eL47QGgF5ghNDVeyu+rhCm/BJKSMQwYeCRzc1d+RsbXHzsZN43mzwXDsb432Oo4CCHlneR2s/5RPaLMMkByNOBdOKW4mxPR14Oz1RQSiHSMo7ZDrM0nUkqPZO2FnaaIJwZcE9BvO3+tIGBgcHexLVWoqP+QYCSEvp9RBiC42AB0vNQlQpiqI1ZVh2sriByfDpd6AV66oxjHel3h5V4O52xvn63q1/1un6tVqdvpXqJi8jQelJFnkOHUuqOdgiCYEjvKen3blffP1X40dQj/blcVvgeyDhCDIsPJAqwHVQcsTYwSj8GBk8ExvjfY5gT5XMi/XlqTxbTdgCy1KHsLkJR7YC809BL4pHw20JpuIeb5GqsZ6k7eSM/23HeyN8uBFDUPjP400bic0/DqP0YGEzGrIW2kPt9mJ8nqjaQ3TYxFm7UR6ytoRwH1ZgBIJIuibBIhId0JHFPEARj6cyVFU3TSak//b421D1vaMCLhMjeXkdfJhKRCPp93Ue5PK7Omyb3pgnASmkHYWVFS3iGoT7WaIzzBMJQP9x21EcGbZJaHaFARn1kkkASsxlvOySDPQaj9nNxYYz/PYaa5U5lzOQ/FyUAp8d3Qh3Kv6fbuaebuuCLLQS+FCAYq/xkNf2Lnuh8IkHR4CZZgdkBZ68dDuzRgTH+9zoM7cfA4FxIJVBOmcgvI0sh0vexgj6iUoZYEbcGyCRBuS7hMAiy1nLwbcF6W0/2Kd+/3x/P5ZY1LsRlWbC0pLn+/T4EcnoBrTlRQkpBva6VhNKEXccZV+9NkUpTx7HebYgi7QQkyVhi1NGlCVCOA8IhjkBJF8eXiHCAUIrHBsb6v5JgjP+LC2Ml7TE4WOcY7dvR4/PIOwpFhv120f70vBBjvv/BmocQAqHU2PCfNqAimk/23KSnPOsQFGxrxEqxYZR+DAwMrkCUAp9NVWPgVGn782wEPpHl0Q60lW2VPFS1BpUqg1hb4GfXLDa6HtKSVCpjI0sIHXWvVmHfPj23+76OwNv2uD5M4O+gqi+lka5/pzOm9KT1A9LKvgOtD0GSwLA2GXE8vq/vJlQrCs9LFyaL2NJ8IaEUATZJqUpUqnG0bZJ9DS4c1tfXufvuu2k0GjQaDe6++242Nja2veav/uqveMlLXsLCwgJCCB588MFz2gwGA/7Lf/kvLCwsUKlU+OZv/mYee+yx3fkR5wFjJe0h1IWHlKKQyjMpJ3a7XYIsss5EUfvxPRUChVIJrUBHhK6t+5NvsNPM43Eiwc7d+7wWaZKwGZvQwF5H+k9h2svA4GrDgl1idVUgLYHrCWJsmn2P/sDi6OMOxzYqBH4NJa3RMxJFY759NAzi27Y2yHVyrU72DQL9OnZMvzqdoQpPaQfSaQNrVIyr29X9lMuwuqpQSt+v09H38zzdLgz19L28DLVKjOMoosQiTsZrRn8gUEpgixjHSkgiRbcHza6iH5tJ4ErCTub83Yz8f+/3fi8PPvgg9957L/feey8PPvggd99997bXdDodXvCCF/Brv/ZrE9u89rWv5X3vex/vec97+OhHP0q73eYbv/EbieNLu3NlaD97CHVVKtTknyTPuR2K+P2TrssoaOrvwGYw3gqece2x0V6kw592shNMSvItOl/Adzoem0TfvQ7D+TcwKMbN+xWnzgoGoUW/pXn1qUrO0lKC71kkiWR9PSKOdDKsN1QFTfn8jcY42TdV5UlzAEAb6mtruu3MXIL0tn8YSzhIIYki3V8a5a/VoFFXWJZCCDmi+6TRf9AOQqkEUkriSBEECiHFiDYUhhD7UjsAMsHzBGGkaA2m70YY7C3sJKizW0Gfz3/+89x777184hOf4LnPfS4Af/RHf8Ttt9/OQw89xFOf+tTC61Ln4MiRI4XnNzc3ecc73sGf//mf8x//438E4F3veheHDh3iH//xH3nJS15y4X/MDmGM/z2EunRH0RIp2VLkaxI1B7Y+MEWVeuHcCH+e359KtKVVXo4PKT9lW2JLeS6/f9L3SQ5BvnDBtOJg+WuErkJ5PDabWQYGBlceShKq9Lh+OSF0fCxLG9yOlVDxYoQUiFYHXJ/HT7kM83259lo9TbbbespstfTnNLJfr+vpdjDQDsDcnDbKhYCuCNmYMq4ZVRrRfEol/XLd4TplSaJQYduK2VmFlIJuVzAYjCv8Og4kiaDZ1HN4GDKiEKXrmG0LUAIZDfCE4FjLFHK5WpEkCc1mc8sxz/PwUu/1CeDjH/84jUZjZPgDPO95z6PRaHD//fdPNP6n4Z//+Z8Jw5A777xzdOzAgQM84xnP4P7777+kxr+xlPYIBGAPoyep0Z+V5ZxkKxdF9lODPnt93jbPtku/Z9s8Nkz2va5ROreT7TBJ1jPf5gkgEBCYf9JXBAztx8BgKw5WPAQgwz4bpwOOH084cQJ6A4HtShxC4lKZbuhw4BqF4+gJvj8Mks/P66h8p6NfrZZW+Wm19JpSr2v1Hyl15H9tDTboTh3Xgqtpn7XamMrjuuO8AssWSBIcmeBITe/xPG3866i/dhyUGhcXS2HbSq89UUQSJSjHQyE42TV8/ysNO6F7KgVf/OIXR7z89PWmN73pSd371KlTLC0tnXN8aWmJU6dOPal+XddldnZ2y/Hl5eUn1e+FgIn87xE0hK8Lm1Cs1Z/a0XnDPkURnSdJtrbPOxT569LzYZIwGFpfByoF3vakhIOiNtnBZH/IpGu2SWhYiQzl50rATmk/BgZXE5YqFUIVIn0LK7A49YiW7JRS4PsWFRUjLUEYWrQ7EsfRnOIo0lH9Xk9z+1dXdYJtvw/792sDfH19XDNsMNCfg0BBfTq9ZmFWsrqqP7tuGskHIdRQ7UdgCYFQ2hsol/VYut2tOQClEsPfw0jtxwtb2B2JtC0IAoRSdPoBygR5rjjsVO3n5ptv5pOf/OSW45Oi/m94wxv4xV/8xW37/NSnPgUwsq+23k8VHn+y2K1+zwfG+N8jmBE6upIvoJvl4qfsmzRKn42g5IPtWUpQnj40KX8grd91NlNSveba40Z5o7xI6nOnnP78q6jfHB6drkhnYGBgsCcRthx6dY/TJxRLS/C0pwnCUBvrm5vQd8vMlEPKfoIQgv6QWz8YaJrP44/r70ppI/0pT9HRd6W0AZ5KfZ49C489Bn41oT7Fxq7EHiCoVlN9fu1UpLkEen1ShLEgiW1sO8GyFGEIrZaW9Iwi7YzoYmMK30uwLL1mWFIgwwChhhyhKOKUCfJc1ZBSUq/Xd9T2Na95Dd/93d+9bZvDhw/zb//2b5w+ffqccysrKywvLz+hcQLs27ePIAhYX1/fEv0/c+YMz3/+859wvxcCxvjfI6hKXS4x3UrNR+mFGBvyKVJjPWvcw9i+nlTYK9tn9poUj3f0VvCc7yAQoJ5AGv4kJ6CIf1R0PocEWDHFva4ImMi/gcFW2Ink+HHBzTfD3JwYyWaWSppu0+/DmRXJGTyU0hH9VEwkTfYNAr0WHDigz8WxPpY6AJubuj/H0dfLmYBp9XOtdonVVZiZUYBASl2V13XBtqDV1pF/pXS0v9+3WF5SWBbMzSmiCNptrWDn+4q5mUQnJgfDeb7kAx6q1UKEIUopHg6M2XIlYjd0/hcWFlhYWJja7vbbb2dzc5N/+qd/4qu/+qsB+OQnP8nm5uaTMtKf/exn4zgO9913H9/1Xd8FwMmTJ/nMZz7Db/zGbzzhfi8EzFO0ByARiESOMjTyhnkWRVKdRXZ2UaJwSgPKOxVbX4qTHR1SuramHRI97U/AdhSe/OeiHYIdPu3thO1GYbDHYNR+DAzG2OeXUVJw+jRcc4024k+e1JKchw/roHino6P7nY6m1GSTZpNEJ/JGkTb6090A295Ku0mVeHwfevXO1HEtVTxWVrRm/8yMIo51cq8loNuTw50AvULEsR5nuyOG0qOK+ZmEmRk5rPwrIIppDyRhqtomJbHtIKs6YzlOFG0j9HNF4lIW+Xr605/OS1/6Ul71qlfxB3/wBwC8+tWv5hu/8Ru3JPs+7WlP401vehPf+q3fCsDa2hrHjh3jxIkTADz00EOAjvjv27ePRqPBD/7gD/ITP/ETzM/PMzc3x0/+5E/ylV/5lSP1n0sFEyrdA5gZ8v0n1bYq4uVnjfsCRUygWOGniPaTpeN3gphUSn+f70ISb6XnpI0nDXYn+QDZ63ZYqOCEofwYGBhcoZizfW68USfkdjrjhNxUp9/3dULv4qJW6mm3dVQ/hRD6uiNHhom8G/radlu/UslN3x9W5XUUSWn7uL8tBGVPsLwMg4HOP3BssIAoFggJjiOwbTEy7GZnx2JuliWIsUgSQRwLogh6kY0UULW0hZ8kCjvoI7tdRBSx2RtsOyYDgyeKd7/73XzlV34ld955J3feeSe33norf/7nf76lzUMPPcTm5ubo+//6X/+L2267jW/4hm8A4Lu/+7u57bbbePvb3z5q89/+23/jW77lW/iu7/ouXvCCF1Aul/nbv/1brCxN4xLARP73AGalT1ZNM0/RKTqW/Z6/Ntsmje7LnBuY7z+15c8OVRakgJJjIaZF56dp/RfVBDhPzodS8IjR979iYGg/BgZbMV+zaLd0Nd441sb78rLW7B8M9PNSr+tzUmonIZ3DXb1By+ysbtfr6c/lst5BWFnRPP+ZGb1jEEUgvHjqRuqC7VMtC7pd7TS029oJqNfEMH9AjGiqnqepSUmilX60MyAIAwUjdSBBEgtKToTqacfD6vdI4hjR7SKCgOPK335QBnsWO5n3d3O3d25ujne9611T7r91AD/wAz/AD/zAD2x7je/7/N7v/R6/93u/92SHeEFhjP89gLJ0zonm52k7ed5+/vt2jkHaPpsDkG0nhNJbssCxpub77yu7em2YFKFPjxUZ/0VSn9vtCGTPFfCdIqCvLq0XbXDhYIx/A4MxytKiVlK4VkKnp6PkQowlPOv1ccXcKBon2qa0n1Q+M43uCwHNpnYUkkTnDDz+uD5eq+m+1pgeYT9QKdHrAkoX8nIcQcWLkEKghK74m+5MeJ52VCxL0/j7/QSXEGnpgl6JZZMoSRgKQjykq41/EYXIofyQKpc53pWaZ2pwxeFS0n6uRhjj/zKHhUAqqXn1BcZ/iqwNnuXtF7UtQt5pSPsZFQxDoVCsDfSkfF0tE4HJR+/zhb2yx/LH89+3cxYmXLNmov4GBgZXKOpJmUEoKTkBvitJkFhS4vuCfl/TeEolbWCnkf9uV+8SwFiFJ0m2tosi/QJ9fHNTS35KCeIp3akZVPtqgp6riGNwrYRyFYQUyCREOXKk3hOHigQLz9FSpJKEiqOzjUUEhApp2yjHBwQ2EXG6XsTxaIsiSCDsGMK/gcGFgDH+L3NoiU+xJRqfl+dMj+fVe+BcZyA9NmlXIMUWqtCwTTuIR0GXeW8oxDypgu920f3sQIre89dN4f8fM1V9rziYyL+BgUYl8Vg5K1ha8ghDOHlSDak9ipkZzbVPq/am6m5Z2XPPYyQJOhiMi2rZtnYQWi29eyCEbictRdPfPomqbAk8G3wnIkIihIWIQ2QwACFQcQ87VkjHQYYdOrJKP7CRQuGUE4gjTRkFkBIhJXYSYgX9YbGAnIR0HHOmPcCkKV652Enk36wLFw7G+L/MMSNKo89ZW3g7JcwiXn8Wk/IF8s5A6gAoIVBKcaKlt4IdKXCsnEzQJBQp+RR9n0QRmjQjDL0dpRSPm8j/FYWd0n7MFrDB1YBG2abXhW5XS2iWSoJmU1N3UmpPv6+5/Gtr2qCv13VeAOjvjqNtai23OaYBVSra+A9DnQcgBAwIaU6ZUq+tlhFxjLJtrCQixGYwcKjYMXLQR8Sxpuu4PqLboVqK6XozuGpAGLq4tq09kVZLD2L40Is0ipVuSaQeS5JwNLQxxv+VC0P7ubgwxv9ljpJwprbJ8va3owSln7ejAeVVflJeaBwLjmz0ADhUHVYbLvJGJkXxJ33ero9JyHCT+gkkZkEwMDC4AlG3HWpVQRJro922deXdMBTMz49pPrattfn37dMOAIwdA9vWxn5aFyAM4cwZWFrSc3ujoWlCnY7uK5iZzvefdUuEQYAdD8DzsVqbOH6NoDPAs0EEAWJzE6s0LC7Q7VCVQg8mTqAfjnVF222GXo3+kVE0Tmjo9fROgmVxRvlGzdnA4ALBGP+XMRwklhgbtiP+fY7Pn+Xp5xV8JjFmUodhkjOQPR6GIGRCN9HRmEM1b2cFuvLHs98nRfrTm28nbZS5/qSh/FxxMAm/BgYaS24Zx9GGehxrik+1qp+Phx/Whv7ysrabV1Z0wq7va6eg3dZ9pA7CwoK2pS1Lt0+SceEvKfVuQZLAY05v6rhEYBM3LMJ2FzcZYFsWsr0BlkT0BuMkg25Xd5x6HFrgX980jsf8VcfRrzhGeR4qnQDKZbBt2krC9LIDBnsYJvJ/cWGM/8sYs9I/h8OfIh/NT5EkOriyXZtJzsO57RS2BdUKNIOx5nPDdxlV9d0u6r9TB2E7Z2GS5ujw/WhsVH6uRBjj38AAyolLEIzt415Pz+/ZeX5tbSzbmSRasjMt2Ajaxk7jJanE58aGpg1FkbbNfV8n/FpOQmzF246pYTtEIUSDiFLVpbsRUE66WJ3WkK/vDPVCh5H+VksnHgihf0CadZyWHU63JsJwnNRWLgOghj/i8X6EMVeubFxqqc+rDeZpuoxRp1RoK08r1JUm+RYha+zn5T6LkoKlAAQ8NiyrWLUlttb43BrBL+L2Fz2p+S2KfLuiPrPn0kQEKUmAdWX2gQ0MDK5AKIh6Fl2hbeF06vvCF7Tt7LraXgb93ba1XZ1W9/WHgmwpfbNWY6SxXy6P5UGzSb/tZHq1xP1eGd9XuLZC9jrUKja0krEH4jhjjc8hnUcFAUJKbexHkfY8HEcPMpWVCwLodBCuixh6NmLo+RyJXEP5MTC4gDDG/2UMH/scSnwRRSdL80nb5qP7k75Pukb3K1BCgYLjTW38X1vzt3fPizKMswOdhqLdg7yi0HDQzRjMinDlwdB+DAyglLiEseDIER3NTw33Xk+/Fhfhppu0oR9F2sD3ff38rK+P+9EFtFIqkFYKKpfFKJ+r3U4LcEG31J06rgVHYlkCaUsI0EZ+mrSbRvezUXwp6daXUc02Vb+t2wXBuFpZrTYuOdzv64pj6SK0ukoUJ3Tnrrvwf2CDywqG9nNxYYz/yxSuVvg/J7KfPhx5Yz/FJP5+0fcih2KrE6AQQJQk9GN942sqw3KRaWT+fJ/W7RyD/LmivjPtjkeG73+lwqj9GFztmBUloggeeEDz9V1X03YcRxvsp0/DwYPj9infP+Xxp7sCKQun14O5OW2nd7v6GYsifV21qjX5jzW319EXwEI5ohdbxJHCkhb0h4kEoA1629Y3r9X0QJtN/BmbeKaE6kWIMNTte8Pcgo2NsaPQ7Y4TEwA6HTb86gX9uxpcnjDG/8XFJbee3va2t3HrrbdSr9ep1+vcfvvt/MM//MOWNp///Of55m/+ZhqNBrVajec973kcO3ZsdP6hhx7iBS94AQcPHuSNb3zjlmsPHz6MEIJPfOITW46/9rWv5UUvetGu/a4nC63vvxV5vX7YaqxvJ6qznQOQ7Sd9STnuYL0/5vtXXHsyJafovajNdu12MgMACjhqkn0NDPYczJy/M8z5LrYNt92maTlrazqpNwjGlXrX1+HkSW0/Hz8OJ05o1R6lxkW+2m09pc7PKxxHF+VyHIXjDNeUJMISMb7dJ5lSPndW+oTYVKw+nggRltRGvpTa4O92tUeR0nmG/CIrHOC2NxBJMl50UumhXk8PMvVYomjsuVgWR4zxb2BwwXHJraeDBw/ya7/2azzwwAM88MADfO3Xfi0ve9nL+OxnPwvAww8/zL//9/+epz3taXzoQx/iX//1X/n5n/95fH9sHP/oj/4od999N3/zN3/D3/7t3/Kxj31syz183+enf/qnL+rverJoDJN9sxF+yFXd3WKsnxvJL6LPb7czsKVPFJIEVMLxpo7QzLsWssjw3w6T5IZS7FTeE8Y/XkpCIQku/T9fg11AuqE07WWwN2Hm/B0ggWRgUavpqP/Tnw5PfapW9qlW9S7A/LyO6p84oYV0Uun8I0e0k7CyortKlX16Pa3TEAwUtkgQImGuEVMvx8xXenTFdL7/IVeysunSlSUUgsT1SNwhHynNSo4ibcivr0OnQywdEnuYB9Bq6TaDwbgQQRTp752O/mEwWg9UGPK4X7/wf1+Dyw47mfNN5P/C4ZLTfr7pm75py/df+ZVf4W1vexuf+MQn+Iqv+Ap+9md/lrvuuovf+I3fGLW54YYbtlyzsbHBbbfdxq233sqBAwfY3Nzccv6HfuiHeNvb3sbf//3fc9ddd+3ej7mAKAlnC5s96wAU0XzSuTdDswQm5wlkz+XtcyEyHSt4rK31mA9Vva3Get5wz1pkk+oA5AdQ1D5/LNv/8IetmsJeVywM5//Khpnzp0O1XTYTMQqE1+uaUZNW5lVKG/wbG3onIC3e5Tja5p6dHSf8pgW8Oh1BsyV0crADKEUQAcomiGwebW1MHdc1XsBAdfFsF9ULEXFEjIVyfaRt68h+FKGUQgGi3UY6ksR29fdWSw9QqXEhL9DGv2Xp5AbXHdF/BqUK8ST1CoMrCjuZ9826cOFwWT1VcRzznve8h06nw+23306SJPzd3/0dN998My95yUtYWlriuc99Ln/913+95bo3vvGN3HHHHZTLZaSUvOQlL9ly/vDhw/zwD/8w99xzD8ke+NfjYY0M/0nCN1mDPa/pPy3ndpqu//AICMEgUcTDzvZV/a0XwFZ3fJKXke98u2j/DtsdiYzxb2Cw12Hm/GKIZonVVW3YDwbasE+l8s+e1dOu52n+vuvq3YAgGHP5q9WRWibttg64+/5QHlQpLEtRLUVUnQG+FeLbIWfDYNsxOQiscoXG4Czy1EmEFIgkwR50sXodEAI11PFXrk+yuB91/Y1gWVi9NmJ9bawCVCppj6RS0S/P04PvdsfJDcBKyVB+DAx2A5c88g/w6U9/mttvv51+v0+1WuV973sft9xyC6dOnaLdbvNrv/Zr/PIv/zK//uu/zr333su3fdu38cEPfpCv+ZqvAeCuu+5iZWWFZrPJ4uJi4T1+7ud+jne+8528+93v5u677z7/QcaxfqWfdxF1fOLhFmxq+GcYL1ui/EVJu+lal7bXQw5H7+nwU+m4bHshII4T0uD/mc4A4hgJ2CjCKPPb87yi/G5A1mhPnYSss5Bvk99BGL6HwwGHcawXGKU4HTrA7v5/uCC4SP9mdgW7NfYd9GcSfq9smDl/eyxXBY+dDVFK28X9/pjq02ppSk+6FqRqP66rHYClJf1slErhUMs/HBXNrVUVIhrQ73mIOMSzY4SU9BJIou1/4zVlmzNNi0ZlHkGM5XjEUYKQ7nA3QhH1Y5xej0iGqERgqRjZbiM6nbEEqOdBGKJKJYTvsxrWaFxTx+53Rkm/4fDhPmL7Zu682LhE875J+L24uCyM/6c+9ak8+OCDbGxs8Jd/+Zd8//d/Px/+8IeZmZkB4GUvexk//uM/DsAzn/lM7r//ft7+9rePFgIAz/MmLgIAi4uL/ORP/iS/8Au/wMtf/vLzHqP18INYw1CK9ciD5339+WBt+NoN3H//fed9TVpG6x++dGHHcr6473OfG30WjMe1F7Db/2Z2Exd67FZ3ezlBQ/u58mHm/O1xFh2pj6IxOyaV+EyRJGOKfPpeKun3wUCrAQEcObKzOX/afHp8+LqYaD3y2T01z+dh5v1Mf1PmfWP8X1xcFsa/67o85SlPAeA5z3kOn/rUp/id3/kdfu/3fg/btrnlllu2tH/605/ORz/60fO+z+te9zre+ta38ta3vvW8r41vfCZxqYz1yIPENzxzLEW2C7hFLv3/23v3aEuq6t7/u+q9H2fvc06fftINTUAQFRDFQIOJiNL4AL3JuKLB21djfmjuiHE4oiYXf2qIxp96f0nUmB/G6/WaRBniyDUYuUojKHhVhICC7wAK9Ptx+rz2s3a91u+Pudeu2nVqP053n/f8jHHYe1etqlq76L1qrrnm/E4o/fpkSE8/ff50ToA6Jvbm+3jooXtwxRXXwLLMzjnS56E/SdeREt94ahKRBF60eQRbcmbvYl5piy3lve/arrz/veSJkqNAFMEPQ9zzi1/gmgsugKnreCrQ8PPQXNhNXS7CcEn+zSwKi9T3sFY9bediVic85vfG8kxsi8ZhmvHKrutSBd6ZGaqPVSySI922ydCvVqltuRyHAUnpY2bmHlx66TXI5czOxEHXJUrFAFoQQjdo0H/g8Cym/P6W1dWbx5CLXDREDpEwUMhJaG4daDYhR0oQUgKNBoSuQWoaolweLV+HjRZ0twEZBBAqaSGXg2w2EY2No9nSIJseCs1JaJOUuexbFu555pnVOW4CPO5nnZbH/RXFijD+00gp0Wq1YFkWXvSiF+Hxxx/v2v/EE0/grLMWXvSjWCzi/e9/P2655ZZ5SWcD0fX4h5B8f5oxocPQTQCiE+6TpeqjSO7PUgVKvzcME6ZpZp5PGf6qqm/DDxBp9D03jeRhticE80J8sgz99LZk/FKvyYLaruuZ8UympsHUNBwQFqCvqHSVwSziv5lF53T3fcC52PO//ljPY36aMkpwXRNhSMOlKty1YQPJfapkXtumCYCq6htF9BmIJwczM0C1aqJYNDvbHDOEkIBoNQHXRxSGmI5E3zE1p+uIRB5+roCgKaFrgCZCaMUyZK6IlgsUjRZJf7aXK6RpwsjbQKUGvVCEBxOy0YRdm0KUy0OMjQGNOqwggJibhQh8iluanIyfLat53ARWd/+XeNxnz//SsuzG/3vf+1688pWvxI4dO1CtVnH77bfj/vvvx969ewEA73nPe/D6178ev/3bv42XvvSl2Lt3L+68807cf//9J3W9t771rfj4xz+OL33pS7jssstO4zc5PYwjjygS87zy6jVpD2ep/qQnAmmhBGV7p3Nw5yf8AsfrlABmCAFLJQGkf51Zij3pirzqfXq1IN1G0ecaoQQqcpUZ/syCYeN/7cJjfn/syILhxEPm9DTZTcUisG0bJfyaJm2Tkjz9O3fGk4Rajexvr52/axjoxOSHIRDIEKZbpeeApqGq25DoX9xrZykHTRMd5SEpAQgdzUYIwzbg2AFkK4RQDxHHgXBd6MeOAZEEHBv26CgQNoBWC2JuFlLfAGHb0CoVoDIXF/iyLLqA1z8BmVlbsPG/tCy78X/s2DHs2bMHR44cQblcxkUXXYS9e/fimmuuAQD8zu/8Dv7+7/8eH/nIR/COd7wD559/Pr7yla/gxS9+8UldzzRNfOhDH8KNN954Or/GaWMEdpdTXRnrWeE5yc9JlA2eVQE4S+0nPofsmizsm6N14u1Fq7s4izpRml4Jv71UfZL7k+dPS3wmjp/jHz/DrGp4zO9DJNBqaBB2PH4r5R7DoAq9pkl2sWnStpkZenWcOPRH19vKPohDg0olAGGIyJdohRqklQMME/tm+8diA8BWR0chF0uK5kUTIufAD3VofghdNmnF2DDIiK9WAcuCaDZJv79YjLVHowhiagpidpY6ZdvAjh3k8T96FIgiBKvVW84wq4RlN/4/97nPDWzzlre8BW95y1tO6vzPPPPMvG2/93u/h9/7vd87qfMtNrYwOjKfWR7/9MSgl/e+n7Z/r21Jw19KiekWKQTtUBKfaWN8kHZ/VmhQcns6/GdQXQAAByL2+q91hg37YS/Q6oTH/N5YLQu+JxD4ZNxbFhnbSnhIa0fVNMiBjnKZlDLVNtsmqXxVLBegWgBzc0CrJTBR9CB9ibmwhKBOBvbhRn+vPwAYkQm9NoOCaSEybEBY0CMfpTwQuT6EDGlmMDdHHY6ieIlALWNPT9NEQGUuC0GfR0fpS5RK9CU8D7NWHnCPLNp9ZlYew4z7POafPpbd+GdibBjQUlZ72phPG/wKZUdnTQZ6JQqr42Jbm94IAVS9WJZr1NKzK/VmTQKSM5VeRnx6FpNFxvFSShyM+J/sWodj/pn1SsHLQxXDlTLW71cqmYYRq/wcO0YhQGeeSZ81jYx/IF4RAICREZoMRBFNAHxfwLEjhCFgGBEatf6VfUdNA7404MOEFgK6V4Wm04PIEAIIqQgkLIsMeKUr6rrUqVyOOqEKD7guJS4kdatNk+KV2vFMB4sbgEk2/tcTHPaztLAltYIYQ65TxDZpayeTeoH+sfpZIT1Z29NtEgV9ISVwuF3V19EFJfom4/3Tv8Beuv1ZLGR/apLgRxKtlVWXjmEY5rRhRyagxwW5lINcCLKtoyiWAN2+nQz8MKRVAClpJWB8HICUcBwaN6tVYPNmOp9ZyGH2eIRRJ8BIKcRMc7CW+86CjZxwoQkNuvSARhPSsUi5p117BZqGKF8EhAZh2xCVCh1MM454duI45OlvJSYMpkmdLBSA8XFIKXFo2kefRxbDMKcIG/8riBHYmUm9aY/+oITdtKGv8gaSJM+pJhztowEAB6sU739W0Y4bJS+cpfCTjuPPumhWGFC6Tbp9e9u01MBPhPUBe/6ZdUcEOJbWCe9RYTtK599xyFZWtZJUuI+UseJPs0l29KaNQKkMPPkksGFcdqoCj44ChaKGWsuEF0o8Mdsa2K0JQyCIdBhhHVqrDug6pKrEKwRkO55fegFg2ZCj49B8H8KygKkp6vDkJHDwYDyrcV3qMEBVyXS94+VqQSCCWNX6/szCGcbzz8+F0wcb/ysIWxiZXvy03Gc/T/8geq0qJJU4wyhCxaMnzraRXHxw0nhPJyIkO5SMQcral6bfdiE6EmH7xCrR9mdOCQ77YdYjjudACNEx7nM5spt1nUJ/goAiZ/J5srtbLZogKHv6xAmKutmwAdANgVaLBvrx0RD5XIAjxwwEAU0O6nUBTROYQrNPj8jXUvRqqOccnPBGMV4wYFWmIW0HkZ0DNAEYBvYf0DE6ZqBsNiHcBsTEBBn3KtQnOaNRD518Pn4Y+e0kByEw2T8KiVmjcNjP0sLG/wrBgQEkCnsljfpkKFDa2E8a8OpYoFvbP7k9PYGIVwAkAIEoQsfwB4CSZdA+FZvZL84/HRaULuaV/GWreM/0l0ki6MGiOjsZ6qurrC/DMMyQ5L0cmj4Z+aZJxbzyeQqX1zQKiVf2cy5Hn5WqTxiSAz2fp/eum6gMXJcoliSKRQlNo/oxY2OA0CJ4M/3DfrZqETQpIEIflmXAm2vB8API0QI8Mw+91YDuh9g5NofIzkHWmtBclxJ5q1Ua01st6piu03KFbcf7EmFDaDQA38dToQMINk0YZjHhX9gKYRS5TBlOoJ80Z+88gPT7XjZ716QAEhDA0Tp5g0qmRg+LSJJ+c5+QnHkGfr9JQppe6kEpNSCe9K8PWO2HWY/YkYVIxkm7rRYZ8blcnOSrBHJqNZoUJFWS83kK6wHI8J+dpR9IpWHALhrQNAFdp3ZSAtVgsIt9h1cHSmUUzBBWUIWULoShQZubhu00EdUaEK0GhKZB13WatRw5Qh33fbqY+gK5HH05XaclilotTlhoFyaIAExvOJuX/tYh7PlfWtj4XyGMgOQ00/H+QHbMfnL/oAlA1ucs1ErBgSpJv+0YcTruIykllW8HshN/h4n3TzLI658lBcqsG/h/ObOuCIDAE51CXY5DtrKUcdXeWm1+vpdhxI51329r8LdDgzSNGllWBCEjlEY0BCHQaNAk4NfT/UN+AGCskAPm5iBaLVimCch2/FGtBk1KaCN5oF6JV3lNkwz7MIyXMByHPkdRvBxRLJL3Xy1ftMf6mm5CLjSWlVkTsNTn0sLG/wrB6hHPkq7U2y/kvp8aUFZETdZEI4giNAP6BW7LW73za/v9CrM8+b0SfXt5/dU2KSHZEmQYZg1juDnMzAiUy2Q753JkEytZfICiYoQgW1pV+DVNcqbn86TnL2WcO6uKfJmWhkgKCAE0mwIHDwJCk5guNNFPPM0QAnJ8C6LmNLRikQz1Wo06UCzSUoRl0RLEzEzcwXyeZIdMk4z+mRlKWigWqbNSkuEfRTRbMQzqdBjicG50sW81wzBg439FkIPZ8dIA80N1shJ907H+Cq3HYJ61KqBi/TUtNrzn3LikesHQ5s8Senno0xfoNTnotUKQlRzc9ghF7AlaV/BiD7PeKEkHQZ5s5GaT7OFcLg6FB2h7GKKzOhBFcRRNENDnqSk6plSKz20YAqbw4TYlco6NbdsEDCvCgZn+btQzRmxopoFKMIFyY5qqvOdytMSgYvmTSxCWRV9gepqSCtSShZIEPXGCtuXbXzQMgbPPpi9Uq0HaNp7RywD/9tclHPaztLDxvwIY05zMhNxkHm262vn8hN34c9akIOtzp+AXQAM7JA5UKORn3Nah9ZPqTJ5IdXIhcf7pfWkJ0QSVwVLUzBqCjX9mvTGiWzA2km1drZJD3HHIuDdNsrOV8V+r0WfDAHbsoGeDbdOxzSZNFjSNHPIAtc9vNJG3m9BkFaWNOUzVB4f87Bhx4OgBdNlAK9RhN6sQtk1efc+jar7Hj1MHWi3qRPrB5fu032lXiW804kmBYQCOg/rYGZATBoIIaByfXKQ7zKx02PhfWtj4XwGMCLuPZ55Ixnr2i/FPO+qTxyffd9vn8UzgYJ10n3cWnWyvfFLKcxDKmF+IJZdWDgJwxB/+cIZhmNWEJgWKeZL4LBTIVp6eJkNfJf+qvC8lfqbkPqvVOI/WsoCJCTrO8ygMCKBVALelIQhyGHU8aIGHA43Byb4jugmhAVbRoRPqI2S8K0++bcdxSSoOSXW4Wo2LEOh6d0ayikeSElLXkTMDhJqG2SYP9AyzVLDxvwKwU/8blPe+lxc/SZb8Z1YicC+pT0AgjCSkFAiiCH5ERv3GggXo2nxvftLDn9zeT8UnKzGh1wQiNXuRUuJAxFV91xus9sOsF0bhIAhER7vfssi5rsZ+ZcyrBGAgzqMleXwJy1J2OZ1H2dxAnARsmoCvWdA0iUONat8+2RrQbGhwrAYQBoDvQ9RqdEHPo4ureCOVzOt5dBHDiEN7gDg3QNPiRAYlX+S6mKsIhIbAkcbg1Qhm7cKe/6WFjf9lJgeTPO8JBnn20/uy2mblCcxvKyEAaO2HxFSdBmtNAHnLjDXk+lXj7bcK0CueP70/3TaxuuBHgAeN5f3XERz2w6wnxi0HuhcL4eRyFLLjumQ/C0GTAjUxECIu7kX1AARyOYlcDsjlJAoF0QkTAoBjx+i4bVsimBrghhGCAVbUWSLEiOXBbYRwcjpQylP8ULVKFzXNuJiAegaoBN+kyo+m0cVVCFCrRdtyOcA0IaTEWDQNWfPwA98BBDt61ivDjPv8XDh9sPG/zIyl9P17GetZMf5Zsf7qfa9zdbcVgIgfAgfmKN5/k2PGKj/J6Xjay5/1AMmSAU1fvNeKgLpWYnVhir3+DMOsYbSWBSdHdnGjQUNfsUifdT2O/xeComqmpsienp4me7pQAObmyOPvtNWZlYMeoPN5HtBwDRiWxKG5weE120QAc3YSpm0DlXZ8P0AnVxr+th0b+K0WGf7tOH4Ui/FqQKFAFcvUMZpGcp7j4xCuC8zNoWnl4bPhzzBLBhv/y0xRWB37t5dSj7KXVegkkP2aFVnTKwSoOy9AQEqJw+14/7NG7NgAD4L5Cj1A9xS8n1c/aeynVwmykodTlYT3s/G/7mDPP7NeEKFAyxUIWnEl90aDbOZqlaJnkj6RMKSQoMOH4/h/0wQmJ8nerlTQCftRz5OtWyKE7eOnpwUODEz2lSjLEEB75tFsktc/l6POqY60WtQZFfajPPtqaULTaJ/v0zlGRjqdk46DqiyiZZRhjI7jBCKgXlvs282sYDjsZ2lh43+Zsdr/C5RdPEiqUxntWUm9KkY0y+Pfy1nfjqxHKwwRtndusPTY+E8vJ6Q5mUlA8kslpULVa6Ki7+FIa79j1hNs/DPrAbvlwG0K2HZs/KsJgJTk3VfOdOXVNwxg48bYT1Io0LmiiMLpNQ0YH4/DiKJIIAwlXFcgCCXmZKtvnwpCkvS058XJZ6YZ6/y3WnRRy+p48uH7cfx/O5a/Iztkmp1XuXkzQteHQIR8XqCgAVFk4N+PTS/ynWZWOmz8Ly3sVl1GcjA6hnrSxk7H7A8y6JPHZoXOpxN+u5zx7eMmG7QUrAvA1oaU50x3JmtVIIukwZ+U+Exu0zS4QoPkf6IMw6xRxg2nEzafz5P33jRpCGw2aXurRZ79yUmyvZVa5uhobPgrR7zrUow/EEt9/vopgUqFinxpRjTQlXJ2zoCwLKBQgAxDSMOgCxkGnXTTprgqb6NBIUHVKnU4COi11Yq9/1JSx06cQLMWIiqPITId6CeOwdj3a5jP/ArHfLbqmOVlZmYGe/bsQblcRrlcxp49ezCrJLN68C//8i+49tprMTExASEEHnvssXltrrrqKgghuv7e8IY3LM6XWADs+V9GxpCHEKLL8Q30j9nPSgJOG/hZ4T/pc8QRNvRQOFChSjLb8ol4f3WCMJx/gvSJByX09tqXTBpOthcCRwer0TFrkGHDftgLxKx2SpYJrxwX91LefaX3X6+3VXrakTOqem8uB+zbR7b46Ghcd2vzZvqrVOJrlMtkt2saMBd6Pfui2GIIIJA07usG5KZNgNeCUJ2r14FDh+iCYUh/+TxdQBn/pkkrALUavbalipy5o6jZBRRkC5pO6j8NOwfp95G0Y9YFy+35v/HGG3Hw4EHs3bsXAPDWt74Ve/bswZ133tnzmHq9jiuvvBKve93rcNNNN/Vsd9NNN+GDH/xg53Mulzt9HT9J2PhfRlS8f6fYVoaHPin1mXaWJ+nl5c+y0+evKEgcb9BD4cwRJz4oLeuZviBAHUz/YtW2dCJC+n1WLFLimvsCK/vazJqGY/6Z9YAuBTRoncK4UsbVfcOQ7OVajQx5peUvJen3N5sU+jMyAszMxGqaKr+2UKBjAZpQqPyA2bAxsF/FoEVGfBAggAG3qaGoA7LVgigWabbRasVa/iMjwNatZPDPzMQrAOPj1NlqtaNdqh0/jhG3BWnZkDKEsCwcna4AIxsX81Yzq4DlNP5/+ctfYu/evXjwwQdx2WWXAQA++9nPYteuXXj88cdx/vnnZx63Z88eAMAzzzzT9/z5fB5btmw5rX0+VTimYhmxRTz3ShvnwPz4/+QkYVAV3/SEIq0MJIQEEELICK7nd5aCxywjewahLpihyDPv4gtdBUieq329CALTEL2PYRiGWcVstB0YhoDnUSGuUomM/EKBHOnbtgHnnUev4+NkXysj37bJ0K9U4hoAlkWThkaD7G31DKjV2pWCLYmZoL/nf9wApBQIxzfgV7MTqOY3Q3PrkIcOQ9TrVNH32LF4RqGq+lar7UJg7Wq+KlM5n6eliE2b6AtOTEDqOoTbgNi3D3jySTxtFpbgbjNrhSiKUKlUuv5arf55LIP4wQ9+gHK53DH8AeDyyy9HuVzGAw88cKpdxm233YaJiQk897nPxbvf/W5Uq/3rbCwF7PlfJnIwAIh5hn6WsZ5l1Cf3Jb3+6f3pkKLO+aSEJmmafbyt8mNqgKUlvP7JA7JWARZauTeRzNszd6C9rxoBYON/3cKef2atM6blUMzFObKaRjH/auHU98moP/NMcqTbNu0/fJj2qeeCaZIjXk0iGm3n/swMvUpJYfnNIBz4xD8jn4cwA/z6oIWtxWOY+XUIbXMeORXf32qRQZ/LxXKeSv1nZoZmLq0WpKZB6Dq1VWWL22N+VCjDb3hwggCRpqFiL38IBLP8DLPiKyXwxBNPoFwud23/8z//c9xyyy0nfe2jR49i06ZN87Zv2rQJR48ePenzAsAb3/hGnH322diyZQt+9rOf4eabb8aPf/xj3HPPPad03lOFjf9lYlzkM7zxvb35yX1ZYUK9jklv6/5MG/e3i3vtKNjzD1DhOb20/pNfYBBZOQLJQmKJGKjDERv+6xWO+WfWA5Y0AcQGu+uSgZ/L0TCoCuaqv9lZ2lcqkQqQrpP9retke9s22doqxEfXyUmv6mq59mDv6IaCgyhs4ZwzA+Cx/ShYJkRFj2P7lXSnkvF03XgFQGn+t5cwonwBGmTcttkEmk0YlgWjMQfk86gEUfZDjFl3DBv2c9555+Ghhx7q2m7bdmb7W265BX/xF3/R95wPP/wwAMp/nH89mbl9ISRzAZ73vOfhWc96Fi699FL86Ec/wgte8IJTOvepwMb/MlFAHO8/zCQgua8XvfZlngsCQtMRSeBEs238F+350pvJk2Rt70WWtGfWNnVudd4ogpQST4cc788wzNpEh4Clax1JTyCu3quKc4UhheyMj5NRNDtLf+1w/E6SryqmOzZG7XSdwvDVebZsaU8Emi4wwLgatQA/yEE0KtCe/WyIqSlK8E12yjDowuUyXbDZjLX+JycBz4Nb2IDgjDKKlgdx4gSdQ0kYlUpQJYgPWSOLcXuZNYymaSiVSkO1ffvb3z5QWWfnzp34yU9+gmNKJivB5OQkNm/efFL97MULXvACmKaJJ598ko3/9YiK9++VpNtP8z9rEtAr9EdNLuaHAwmEEqh7saRO2TKApMxnUoUnnaSbvGj6fS+SicTAfBWh9vkDAC70/udi1iyc8MusdUoy14mEaTbJ818s0j4puxOAT5wg410p9uh6LKGvJgcqX8D3aTJgmyG2lmp4CiqJOEI16h/vv9kxoYUB7GYD0nEQ2Tloug40mhCTx+lEExPxA2VkhC5WqdCSg21Tx4IAOQeI9BakbkKYZlyaOAyBJ54A6nXIeh37nvObi3+zmVXBYiT8TkxMYGJiYmC7Xbt2YW5uDv/2b/+G3/xN+jf50EMPYW5uDldcccXCLjqAn//85/B9H1u3bj2t510obPwvAzmYHYnPpG2dNNCzwn2yE3fn/6UnB0lBHgEJz6MHCQAcrbnUJ13AEKkDkjH6ye1BQE+gdCiQep/W/M/SMU13LPF5RvA/y/UOG//MWkavO2gYcUh8GFLOrJLTb7aL8BYK9FtQhXZVUq8av3M58vq7biy1v3OnRMHygXaYz4hWgxnUAdHfoTKh24g0A0LTIOfmEBUkhAR+fHAMOx/5NsovfSFEFELMzsbSQrYNbNhAF5+Zoc56HjA3B63VgnRdCgHK5XFC24QN+Sa0chGi0YDv5NAKON6fIYYx/hfruXDBBRfgFa94BW666SZ85jOfAUBSn9ddd12X0s+zn/1sfOQjH8Hv/M7vAACmp6exf/9+HD58GADw+OOPAwC2bNmCLVu24Ne//jVuu+02vOpVr8LExAR+8Ytf4F3vehcuueQSXHnllYvzZYaE1X6WgVHhAIirOSr6hfwA3c73XqH3yXNlvdeCFjQRIQgkggA42C71vqNodx+QnE2oQi3KkFefk+1VzH4vpZ/08clyxOpYXQcsCwcDjgFlGGbtonsmXJfsZBXb7zgUDRNF5MnXdXKqVypkW+/fT9r+J06Qse+6FE1z/DhF21QqZIvPzQlEhkEnALCp/gxqQX1gn2qTDmbmBGpGGb+uTODhB0MERyYxlvNgPedZwIlJyFIZUoVcNBqk9z85SV/AMGLrbHYWOHAAYnISAKDpGsKRcfzaOA+utCGLRczMzC3GrWWYk+K2227DhRdeiN27d2P37t246KKL8IUvfKGrzeOPP465ufjf7de+9jVccsklePWrXw0AeMMb3oBLLrkEf//3fw8AsCwL3/rWt3Dttdfi/PPPxzve8Q7s3r0b9957L3R9eaMb2MW6DJSF07eQlyJLu19t76X336t9B9OCYYr29SPMtcN+zhhx4qItKmMsGX+hkrbUBdT2pPd/0KxECFo1UDOe9PmCABLAwYjj/dczKynsp9Vq4bLLLsOPf/xjPProo3j+85+/3F1iVjkmBMbKoksoRyX6KqM+imiYtCyaEORyZF+rBF/lL1GfXZeicAoFWt09ut/HVrMt9G8YeMboL6epRRFqxwN8d18OG6pPYdfZxxCMX4CZGYmdZ1WATWdR9vDkcZpxVCoUYxRFNDOJona8kU0daTtyUC5TR/ftw9YL8tjqzQFPPglUKti/7ZwluNvMamFYtZ/FYnx8HF/84hcHXL+7A29+85vx5je/uWf7HTt24Dvf+c7p6N5ph43/ZcAUOpSiZpYhP0ilJ92u1zlUTGlyuxQaNAFoOlBpxfH+JbMd76+yydKeeRWfP4yGf3oFIDkxkJLOnz62fS0vAgJekFr3rBS1nz/90z/Ftm3b8OMf/3jxL8asCzYXHGwwRcfAV7KerRbZzypyRoXRJx06ansQULy/EHHYj6r2O1oMkEcLYY3UhKLt2zF73O3bp61+A88bn8MPJ3cA0IBcHheMTQO5tqRiMtlALVe02sXA2sm7ECI2/Ccm6JhGAzhyBPjVr4Cf/7yTlSxnZ3H4/Bct7o1mVhXLXeF3vcHG/xKTgwEtYdH3k/ZUr/2M/F71AXqHDtGTJJLAsba+f9HQoEUhoBlxSI9aBVAnS3v2gextyc70a59cMUh0djJkw59ZGdx111345je/ia985Su46667lrs7zBphSz4HWyO7WVXydRzKh202ybj3fTLu83kKqZ+ZiaX1lV9GRd9EES3WGgZQKEiEkQYYGh0AoN7yB/Zph6Oh0Kzit59fBeo+oBXjeCSl9uP71NF6PZYa0trXGRmhz9u20RepVOjLaVpcAOzhh2mWksuhBQ3hK1+/mLeZYZg+sPG/xIxq8xOcBun1J9+nxXbS7XqdT3Rq+EpoIKP+mQpVgzlrxCYt27T6Ti95z3QBsLTxnyzkle60+pwMHUrs3x+xys96ZyFhP57noVKpdG2zbbun7vOwHDt2DDfddBO++tWvIp/Pn9K5GCaJFZhw2oZ7rUaTAMOII2Qch0Lm1YrA/v1kP1vtaEjln1HqP5UKFfEaGwNsK4IhfYS+BtnOGj421wDQ//ewQUjIrVsBISDGxuLKvSqJd3Y2lvgUgjrj+/HSRLNJnz0POPtsmgCohISjR+PZS7MJzM3h+AtY5Yfphj3/Swu7WZeYkYxBOK32k+XpT0bhJPelz9NTQUitFAgBQCAEUPPpl7Yln4ixz/r1DZOgkO54ukND/LIjCRzlf5LrnuQ/l35/ACVplcvlrr+PfOQjp3h9iTe/+c34wz/8Q1x66aWn4RsxDGEIAcsQaDSAMIwwOioxMiI7hbwch6JmTFNiYjxEMR/BNCI06hK6TvazMvwti8LwKxU61nWB0JMwWnWY0oNoD/77B/j4jCiEBQlXOHALE3SyZpNmJmEIqeuQQnSqhUkpIfNtWaKREeqIlLT/178Gnn6ayhD/+79TMvDcHIX/NJt07nwe+190euUTmdXPMGM+G/+nD/b8LzGWNLoM82Fj/YHsyr5JxaC0wZ9ts0sAErVEvH/R1OfLbvYiGRbUK7ynF1mSn4ljm1KA56PMQnjjG9+Iv/3bv+3adqrVHh944AFUKhXcfPPNp62fDAMA44YDwxAwTUATEnrgQZcSESxYlq6K4MIyIjhwkbddbNru4NwzJEIzjyPHBEolAccBBCJsnAAqVYFaTaBUknADHY5lQwStTuGAegj0K5tyhvQhGg0YhVHIoAmpSQjf78TxPzk9juPN7bjk7Bnk7QiucADTgvNjqrIqymVaGVBSRZUKTQrKZfL4q1lNvQ4YBqQQOH7O+b07xDDMosPG/xLiwOjo+yft4F5Gf7/4/XRETbqwV3pC0LHNhYDQNBxux/uXTA1ar7CdLNSMRSUBq8ziIOgO90ka98nwofT+BEe4sBfTZtiwH8uyTnu1x7/8y7/Egw8+OG8Scemll+KNb3wj/vEf/3G4zjFMinHdQbNJw59p6vA1Ac0ApAfomkQ+LxAEgGMJ6D4gfA/1eohKNAJXAqUyEIYSmpAYyYdAs4HipgLqRQnLq8EeHYEUBcimALz+Sb6KHbYGNAOYB5+mMf3ccyEdB6Gdhx75MP0R1GZt7P1JAS98gcR4ro5DR02cd/6zof30JxTuMzFBKwFHj9I5XJcSFup14LzzKHap7f1vlEYBwU4ephsO+1la2PhfQkZF/4Img4p9qVcVFqFkYpV8fjoUqHsFgHZEIeALYN8cxYOeXcpBZEl0Jr37yV+cUupR25Rcp/qc/PX2mlQk2yc6vD8y+9wdZr0wbMz/Qh8Ew1Z7/Nu//Vv85V/+Zefz4cOHce211+LLX/4yLrvssoVdlGESlCwTYUih8VEEeEJDGEiURiLoXh3CMBA5FjwPgJmDtsGG3vBRO27j+KSGUjFAuRCh0jDRbGmwNRNuSyDnSOhBiLBSQ0OMwI/y8P3hxtNRu11tbGqK/kZGIEZGoBdHIG0HO7cHOPsMH660MDlrQs5VcH6hAW1qjr7E1FT8o1Xlhms1Cvep14Gf/IRyA2wb8Dwcee7Fi3uTmVXJckt9rjfY+F9CsuL9s7z6SkShl+c/adSrdinRnM7+9DY/EAgh0QzpV7apYJHEZy9jPyM8p/M5q8JvljJQVgGwVLhQKIFZDvlhVgBnnnlm1+diO3zinHPOwfbt25ejS8waQIeAiDQYJjluVDkVXYV/GgZCzYSMAMsIICIJ2WhAy5ewfUsATTdRbegwLA0U9KMj1E04BiAgIPIOfFeg0QS8UMDzBuRoATCFhClAYTnj43HyrmVBRBE5hiwLsCw4aGJ70QCqs8DMNBn4uRw5hI4ejR9GYUh/vk/Gv9aWNmqrBz3zfJb4ZJjlho3/JcRq3+50rH8vkqI4ysvfy9DPkgFNomlkZJuGRF3G0m8FQ59vxGep9KQzibM6m/b6p1cU1JfJWAGoSUpEZpiFqP0wzGphVHcQhgK6Tuo9pRLZzroWQRMSkaaj6emo1wUcR0c+DzQNB+5sBBH4OHRAwznP0mHBQ65oIJA6IqlDCwJopobQzEFAYsQSaDQlCsVwYJ925GwIuJCGCdgRxMaN1Ll8nn6EtRowPd3RHBWuC5gGGfaNBsX5HzlCMxnfp7/Z2Xis933KAWirAYWahsrmbYt/s5lVxzBhP/xcOH2w8b9EmNAzTdu00d7LeE/bziquP2mL97LLk7m8mg4cnqF4/w2OEfva1YX7/bqS3nrlzU+37xVCBHSn66dWAg5J/qfIxKykQX7nzp1IV3ZkmIVSDBwY7cJdhUIEywIaDYGRvISMQkTCgCZDRKGORkPAaEfjNBoavvUdG5PHATsn4G92MD4ONBoSgICuW8g5EfJ2CM0mz1K+CEzVBhv/m4pFhM0AslHBpLEVm4L90KWMwznrdfL8ex6F97guyXceP05hPaqNKvKlPPyaRgnHrRbtbzSAKEK1UBrs9WLWJRzzv7SwxbVEbBB50tJHf699clt6v3pvGPPb9dP6JztbdN4frFG8/1lFJ26cFfKTPqGKM0qvFGQdkxXfrz6nfuESwNPgeH+GYdYwTROu1S7qZUlooQdEFiIhYAgaVyOpQQgJyxadSr/jYxL/4boQ9arEXNPqSPCrugC1moTnSVgIYZohYJJ085Faa2CXcpqJ0AughyHGxkNoIgfpNkjtxzQhN20CJiYgjh8nD3+lQgo+c3Nk8ANxhTFl5AM0eahWqV21Chw6BLguDt34+4t1dxmGWQBs/C8RJWH3jZbR9d4Ju0nSE4UsqdDsSQQZ4FEUoRm04/1zCYNbKff0Iy3rmSXdmZ5IZEmBpiYZAYAWx/szbTjsh1lrCCmgQes4wqNQQ6lgYGwkRFSrA80GjFweBUgUchpOtEZgWRqkJHW4QlGgkAfKUYSw6UHTLQAahAwxNgrIIIIhI0qeMugHdLja6N8pT0OzLlDI5SBqM7CCBoX0jI/TfscBDAMRBDSNHlBCjelBQLMYw6AZSqGt+x+G9OO1bQr5MU1q7ziQpolnXnH9Yt9qZpXCnv+lhY3/JcJqy1gmHei9CnWlFX2yjPusMKGsyYKmya5woIof6/s7lhGH4ugJmU1lrCsvfz81n36rBWmyJgoAZiM2/JmYxVL7YZjlohg5UDlNjQbg+wJRZGCsFKJljKBhlGD6PgpaA9rsNEY3GvBFAZGUdJiUQMuF6brQR8bgeREiAKbfhNFsURtdp9XloIYwitAI+8r7IziRw75KiLHn5GBs246GryNfAip1DZYtkK9NQmgadOW9VxV6i0Vg506K7Velh12XniGFQvxcaDbjB1iphCCXQ2tsw2LfamaVwmo/Swsb/0uABR2ij2c7K2Y/GeOfNvLVvl41AeZNChLvD1dpKXhTzoIQGqQGiHTpvKS3XtPIm6MurEgn9GZ9qXT7HqsBByTr+zMMs3bJeQ5sm5zjeltjoekK6IaBRoMmBLquwxuxYY2NoOXqiKQg57oeIdI1aBIQQoeEgGEBmgyhCwAzdUrE3byZjHAhMOcPjvc/2/Fx7EiIcFsNYksRpiHQqjXQaDoQjRqkHkHMzaFTfrhapRj+apXGblW8KwzpOaHahWFc8MtxqOCXaWLmnPMW/0YzDDMUbPwvAWPIdRnuWR76tBM9Wc03iyzhnfSkoLMv0eZQzQWgYXvRofZRBCklLeemLwDMT9JNTs2zZD3Tx2eFCKWaHeR/hkwKDvth1hK6Z6LVXmD1fbKPHYc+T09TKL0QQLEocGLWRKFAx0lJ8symKRA4eQgjgJQSJgJAOXksi8JsqlXyyochDjUGG/8XFo+jdE4BhgVELR9argBLWNhq1MjorzbpvMeOUYenpuizlMCJE3QS3yfZItuODX8p48TfRoPeaxoOXviCRbzDzGqHw36WFra6loARYXcZ/WkneJq0LZ0MEeqnCJSE9pMaRHsLAMALJaADm/MmIimhy4wLqhMkQ36Shv+AGP7ML5NeBWjTAhBwvD+TgGP+mTVFBOjQKHKnFadX1WqxweP7sZDOwYPA854HbN4sISOJRlOD26KKwJqpwxAR/MBGFElYGqCZJoTn0YmnpwEhcMCz+napKCLYzRrO2tGAnsshCCO4rgYnkLA0DdJ1IapV6oyq5h6GFOrjOGTsRxGF/Ng2hQSpMNFGg7aHIRn+UkICOHjxpUtyu5nVCRv/Swsb/0uA3b7NSc98Osxe7U8W9wK6w37SDFIJAgAhI5oDyPhXJQA4uoBABJUI3Je0BGiWhGevfer4HiFCU5INf4Zh1i6O58B1BVyXbGTLiofEWi2OrCyV6HVsjMLlZRjB0CVyDhBJgVZLwLbRHuQlNF2gFViw84AuBJ2oVkMgNLjQAPT2/u+wdcgN44AuIHUdUjPRagKmbQLTJyBsmwx35eE3zfhhFEU0iwHiIl9qBtNs0iwmiijcx7IA34dXHEGQLyz2rWYYZkjY+F9kLGjQBBm4SU+/GkPTib/JUHvVrpfhr+iXA9Bu0WV4bylYtA4waBqtOpnOCeg6dY9wHyCeFKjX9CQCwH6W+GRScMIvs5YYiXKQoNAe1wU2tHNeVQ5AowE8+SSF7I+OJkUeJIIQCAKBMBIdx3oQCQqzFxI2moDQIdsVeVEqYRYGMO327dM2BBATG6HbeQShgAAQRhIN34S9YQP0QwcpzEdp9hsGvdo2bVMJvUrpx/Mo7OjEifghVql0jj2xaevi3mRm1cOe/6WFjf9FpoTc0G17hQL1Cg9KH5teMdA08u2TnyjeuaNgx+6mfkm7yZNlKftkJQCnt6dJ7JMSONpXj4JZr3DYD7NWsCMTkQVs3UpDbq1GjnTLIpv68GHg6aeBLVtoXy7XDpd3dQCykyOgaaTt32q17fCcQBDmYRoRvMCAyFsQENg3M0DiU0qMGAKyVoO0i4gg4Pu0MhGaElHOgDY7C7F/Pxn7IyN0nEriVRnL6nO9ThMAylqmSUGrRa9tKdD9z3ruot9nZnXDFX6XFo65WGRKcHrawv10/HtJgao2wzri1TmCxK9mwtH7zyjSRnzyNR3qk84uHjSZSFyzKQDJ/wQZhlmrREDkawgCGvqUEe84bcWfJg2XL3whbdu4Mc6brdUEPE9DFInOcDs3B1hmCNOUiEIJISSiQKLR0uEGFpqBgcP1Zt8ulUwNol6Hpmtonajg2DGy3/N5oFwM0TzRJA/+9DR1RMWnFotk4EtJM5R8nmKUPI+SFXyfvqSKayoUgDCE1HUcPe85i3yjGYZZCOz5X2QcGJkKPv1s5n5KP70Kes0v8EUnIxUfidkW6fvrArB1Pc466zWTULEX6eJfKY3+obX+k1+ufcyxkA1/Zj6c8MusFRzPQRQJBAGFxheLZEvrOnn7q1WysY8dI+n8F72IbGcllOP75DzP5xOCEdDQcoF8XlLUjQOUnRYizUAkAH/AWLyj6CC08vBqHlxhQ9eBalVC0wQKoy0UjvwK4tgxik9Ssf9RRLOSTZtovFex/r5PX6pepx+ukv5stWhfuQzXtiENNjWY/rDO/9LCv8hFxIQGPeHeH1alJx3+oz6nVwrS+7u1/tvBPpoAIDreoE05g2JDlREOdMsQpRV+kka+aqsSv7J+ien2yQ6m2uyP+J8fMx82/pm1gtl0OqqXYUjGvhLLOXEC+PWvKdZ/ZIS2zc1ReJCyq6Wk7WolWNclDB0QNgnvFAsSU3MCYyUDui4wU6kP7NOYmYOWAwJRxOykBtMEJsYj5EQD0dHjQKNGnSyVyMj3fepAoUAdnZ2ljk1MAAcO0JcrFmly0GgAMzNx55tNHH/OxYt+n5nVjzIr+sHG/+mDra9FZCHx/gpNm68CBGR59ufvT6v/CNH2/0vgcM0DAGzPW7F1NU8aKDHz6GV9pUOA0mE+WXUAkh1v748kMMUhPwzDrGGa0xY0O7aflU2sYvvPOosiZ8bGyH62bXKa5/O0ApDPk72tjikWAduS0EIfuVKIKJQw8jZkswUhAhyqewP7VLaAmZoJzxOdIr2XXBQhDxcQdQjDoMxjKakDAGUqS0lJwM0mGfhC0CRBxTRpGk0YNI0mBPk8EEXYdyFLfDLMSoON/0WkBLvrc9oOTpOU+UyH/qSjbJLvsyU/ZedzK4wQRlTqfdzsE1OklheGSdhNt0nmAGS1SU0o6hEADJjmM+sWVvthVjsyBNyahrCt7V8ut9V62l59zyNHz8gI2doqCVjlAigbemaGJgWVCjA9LbB1K1ByAN1tQgdgWBFg6YDUcdDtX9yrbGowTQErCDE9Y2BqCvjxjwHP1XDV83w4UnZi9TsFuoIgLk18/Dh1pNmMkxOUxn+jQeP/2Bjtq1QQCYETE5uW5H4zqxv2/C8tbPwvIg7MjHAceq8c5srLnxUSNEyYULKtIp3LO+vG3iDTNGLLKh1HJGWsAKTCe4aRAx3mF5nKLzgijKFKDDDrDw77YdYComFD00TH6z8zQ8o+QlDETD5PXv5cjiYAquKv8vI3m7GaptWu2WVZNAEwN5rIGSaES+GcwjDgScCL+g+qO0s5RCEQSh1BQNe8drfE7DEXnsjBHhuDUIkGSnbI88jzHwS0TUry8LsuzWKqVZqdjI3F21wX0HXU7dzwDzFmXcPG/9LCxv8ioUNAg5inwZ/00ifD6vuF9WR5+pPnSrftbJMABHCg4ib2CxrYe8X0J6v4qhP22tcrUbgXiY4/47O+P8Mwaxe95sDJx8VuXZeG3maT7GgV7jM6Sm00LV791TSKsDFNOsb3qY1pAuPjkuQ59RzESA66DKBB4lBl8Ix5RM/BDQSarsTUlMCJE8BZZwS4eFsVMAwIvUgzD6BbylPTOtV64Tg0IbBtWiVQs5WREWB8nDre/tJHzzpncW8ywzAnBRv/i0QZDoQQfWeySUnPpLTnoPh+tS+d8BvvU3H4EpDAkXor+wRpF2svY36Qvn+/OP/0DEdKhABqHPLD9IA9/8xaQHPJXZ8Mi9+wgf59l8sknGMYsTKmEtCpVGL7uyPBWY7PIyWQdyKE0kClIlCvm5BS4oA/N7BPpjDgtVcitmwRGBkBglAglBqMZlsitFIhw79UIq++EHFxglaLOqAymFUSsPoShgGceSbgupC6jmfO+I3Fur3MGoPVfpYWNv4XiZGEvn8vY36QpGe/kKF++9utAAB+GCEYVBQgbeCnf4FpYz5p1Gd1PHnO9DkAVKQGjvdn+sHGP7OakREQtnTYbc0HFcdfKpExPzpKdrJpdg+Vc3Nk8Ct5feX1d12yr6UEZmcFCo4EEELTdAACYQTMRP2r+haEiSikpGH4AUxDh4wANFxoUXt24nl0QYBmGrZNf80mbQ8C6lgyF0DlCFgWoo2bIBwbQghEjoOqdBbnBjNrDs7zWlrY+F8k8iCvT7+wHhVa30/BJ9kWmN8+bWOr44QUgABOtGgg1/vZ2lmqPUB3mE8vY78X6ksnK0K2O3rQZ5UfhmHWLlHVhFsTsMxYr99147j+KKLPQsR5s9UqvRrttKxqlQx+yyKH+9xcPAQXcwL5PJ0jDIFIRggHJFFtsXNwGxKFnIQwNZQNHyMOYIQRRDWKDXvVIaU9qrKP8/n4yyhPv+9TqE87R0CMFCE3bQY0gcqRY4DJTh6GWYmw8b8IaO14/14Ju1kTgXS7LGWgXrkDSrYfADQV8iPoJIfmaCn3jIKFQ1mdTYfwDDLws9rMjzvqrtWd2CelxP6QHwhMb4YN+2EvELNS0au5jgCOku1Uaj5hGPtEVC0sIcjGNoz4T9nXxSKdUylrahoAXYMwJGybnjMNLQBm+/dpW04AXgtaw4chWxBauw5NMsNYVRQLwzg5QdO6kxbUMoTqWK1GEwDXhQAgjhwBmk0cKW0Ctowt4l1m1hLDjPm8Inz6YON/ESjBARLJvoqkjZwV8jNMrH+63TyZT7UvJD/Q4QYp/Wwr2rHxnzTg06+91HvSIT9Z+5LnSV8rJAm6QAKtlAQqwyThmH9mtSOaNnI5Gvbq7bpbahhUHv98nmzpej3OoVXRNaZJ0TRK/cc0ab9hxLr/uiZQKEjk88DB6ebAPm1wQniagO7WoWkynpWoDqgE32Yz7qxh0D4V769mJipRTc1GAqogj7k5wPMgowjPTGxZxDvMrDXY4bO0sPG/CJDxP9/A7yWuk5TWT9rYWQnAqdzZrvPTq4AEIA0DXhghbLcZtY24UZYBPyjeP4usROD0X+qaMxzrzzDMGkZGQOTqME0aTms1MujDkIrjKmlP3yfnueNQjm21Ssa+ZdE2yyKbOopoBaFQiHMACgUK69QEraYebfSP99+YtyCdHGw7AuwiZBQBtg2h4oY0jTqj3lcqsdyzZVEIkNeWjI6ieKKg2lEyApR+aOh5cJ9tLfq9Zhjm5GDjfxHIgWQs0wm5iqw4/UEoOzspzZ8+d2xr06rDibbX39IEjKzEgF4TgPT75OesNv1eUxOAg35G+WKGScGef2a14s2acKtxnmy9TrayrpPhr5R8pIxzZmdmyO4uleJCX4cP0zGFAqkEAbHzXfOakKYNzdAQRBL+AH3/MwsWpKZjalZHqaTD1EAe+pkZiJmZ+AK5HM0ufJ86oZYnwpA6rlYB8nmaDBw7FteDUVJFYYiZEof7MAuDPf9Ly4IyLz/96U/joosuQqlUQqlUwq5du3DXXXdltn3b294GIQQ+8YlPdG1//PHHceWVV2L79u344Ac/OO+Yc845B7lcDhs3bsRrX/ta/Pu//3tXm5mZGezZswflchnlchl79uzB7OxsZ/9dd92Fc845BzMzMwDIEHYcB/v27es6z3/4D/8Bb37zmxfy9YdCg4CecVvTIfFZ77OOSTvP0/uS29LJwAdr5A06o2DH/vYswzyrk4MM+7REaPqXm674G0WQUYSDko1/pj/qn9OgP2bx4TF/4dQP51CvC0xPx/mypVJcBNdou9yiKE70VRMEpfYTRaQItGULFQQD4rAgywJgO/CaIVquxOEZf2CfNto6tNBHoQDUawIyDIEwoOeC41AnWi26eLMZj9vtcE1UqzQhmJ2ldgDp+VerwIkT1PGpKZog1Os4tG3nab2nzNpnmHGfjf/Tx4KM/+3bt+OjH/0oHnnkETzyyCO4+uqr8drXvhY///nPu9p99atfxUMPPYRt27bNO8cf/dEfYc+ePfjXf/1X3Hnnnfj+97/f2ffCF74Qn//85/HLX/4Sd999N6SU2L17N0I1AAG48cYb8dhjj2Hv3r3Yu3cvHnvsMezZs6ez/xOf+AT+5V/+BWNjsedBCIEPfOADC/mqJ00BFgSy9f2zYvXT2xW9wu6zkn7Tx4j2UvCRatv4L9rDGfZZne21P7kvK7M5I1PZh0CwsH9yDMMsIzzmLxxvxuo4zjUtVvfZuDGeBABkV6viufU62c1hGNvgqsCXbdN7245zbJuuQL1lolIVONLoH+8vADiWCeF7yAU1jNouhEt/nQq9UUQX0XW6uOdRRycn4/1SUvuZGdqfz9MXGh2lCUQuB5gm5MgIDj7r2Yt6jxmGOTUWFPZz/fXXd33+8Ic/jE9/+tN48MEH8dznPhcAcOjQIbz97W/H3XffjVe/+tXzzjE7O4tLLrkEF110EbZt24a5ubnOvre+9a2d9zt37sRf/uVf4uKLL8YzzzyDc845B7/85S+xd+9ePPjgg7jssssAAJ/97Gexa9cuPP7449i6dSv+5E/+BBdffHHXNf/4j/8Yf/3Xf413v/vduPDCCxfylRdMWeb6Stj3s5F7hQll5QxoKRs6LdnfCiIo5+iYYwK+N7/xsJ8Vyt06KC8g+SUSEp+T7K1lhoDVflYOPOYvDCmBqGUgCMhObtvDHWl8vb3wadv0uVqNJTxzObKrHYeGTOWMd10S01EJwEFAtrcQQBBITPlu32fORM6A8DwK83EciCgCgrbEUC5HJ9P17kSEmZlO8i5OnKAHjmVROxUClMuR4R8E1Ml2tV/fycGzWN+fWRgJU6EnPOafPk7aDRuGIW6//XbU63Xs2rULABBFEfbs2YP3vOc9nQdDmg9+8IO45pprkM/noWkarr322sx29Xodn//853H22Wdjx44dAIAf/OAHKJfLnYcAAFx++eUol8t44IEHUCqVMs93xRVX4LrrrsPNN998sl93aPIyTnLq55nvJQOabAf0j/FX++L8Wtn5PNvW97c0AQN9kgwy5Dg7J8yywPoZ+r30StsciDjFhBkODvtZefCYPxh3xoDXEtA0so9nZuLweVW4S43byohXw63r0n4VcaPkPgsFdJKHVfRNswkcPQocOyERif4W0Q5LgxAColqFUPFFs7Oxqs/EBF2oUomTdm07zjr2vDgjuVAgb79akpiYoPLDxWJndjOts5obs3CGGfPZ+D99LNga++lPf4pdu3bBdV0Ui0XccccdeM5zngMA+NjHPgbDMPCOd7yj5/GvetWrMDk5iUqlgo0bN87bf+utt+JP//RPUa/X8exnPxv33HMPLIsM6qNHj2LTpk3zjtm0aROOHj3at98f+chHcNFFF+G73/0ufuu3fmshX5kIwzj+MbEknUQAQBQiiKKOElrSJlaiCEm5z16hPEkVILVN02IBhuzjJL0C2DdLFWO25W0Evg+/LcXm+37sflK/pqShn7SqktvSCj6K5Lb0ORL7pASOBDqA7HvXlwH3fUXDfe99XmZVwGM+hv43W9mfQxj60DSyiaOouxiu0vf3PIr/bzTIsAfivNowjIvsKhVNJQEK0CQBaA/jdqt339rbRyMPvgrTabXih4rvk1FvWfRehfqoV6XvXyjQ+ZRMUS4XS4Kq6mVq9SAIsK84euq/8dU8bgKru//rdNyfmZnBO97xDnzta18DALzmNa/Bpz71KYyOjma2930f73vf+/CNb3wDTz31FMrlMl7+8pfjox/9aFf4Y6vVwrvf/W586UtfQrPZxMte9jLceuut2L59+1J8rZ4s2Pg///zz8dhjj2F2dhZf+cpX8KY3vQnf+c530Gw28clPfhI/+tGPIAas3di2nfkQAIA3vvGNuOaaa3DkyBH81V/9FW644QZ8//vfh+PQMmLWuaWUA6/5nOc8B//5P/9n/Nmf/RkeeOCBIb9tjP7rx6Dn8/T+qcd6tvv1gs+8eOgADrT/FPd85zvL1JtTWGZq0+++r3S474nzNRp997PO/8qCx/zhfwPbHADnDXf+kZHe+5RyZiKvuSeDJBS+86MfDtehXtg2/QG0lNFOrO7CSYT5TB2EPnXw1K7ZZjWPm8Dq7v9Sj/vLHfZz44034uDBg9i7dy8ACkncs2cP7rzzzsz2jUYDP/rRj/D+978fF198MWZmZvDOd74Tr3nNa/DII4902r3zne/EnXfeidtvvx0bNmzAu971Llx33XX44Q9/CF1fPgGUBRv/lmXh3HPPBQBceumlePjhh/HJT34SF1xwAY4fP44zzzyz0zYMQ7zrXe/CJz7xCTzzzDNDnV8pOjzrWc/C5ZdfjrGxMdxxxx34vd/7PWzZsgXHjh2bd8zk5CQ2b9488Nx/8Rd/gfPOOw9f/epXh+pLkvCc5yPM5aE/9RjC33h+7D1PsEWWUEZunhc/6eFXDpXkZ0W/9kkln/SKQvo8fhTinmdOAABesWMUpibgBwHuuf9+XPPiF8M0jOE89mlPf3LdLWtfcnvKejsQCjwWnuRycBj2ve8rGu77/NPWqgPbsPG/cuAxf7jfgJTAA5/fhHxOoFgkh7qUZOQ7TuzZN4w4dn96mt6Pj5NDHYgTfTdsoGMtC9C0CJYlYJoCQUDnEULiwenjnVou878A/X6vef7zYXoexSElx/Vmky6msoxVHFIUUQfGx2M1HyCuAFwux9XGUt5/z7Rw93MvX/C97tX3VTluAqu7/8s07mcFFiwVg3KLzj///HnHlMtl3HPPPV3bPvWpT+E3f/M3sX//fpx55pmYm5vD5z73OXzhC1/Ay1/+cgDAF7/4RezYsQP33ntvzxDIpeCUg7CllGi1WtizZ0/nyymuvfZa7NmzB7//+79/yucHgF27dmFubg7/9m//ht/8zd8EADz00EOYm5vDFVdcMfBcO3bswNvf/na8973vxTnnnLOwjuh6/ENIvk9Qknno7VuaNtbTBn3W+7TBn3Vs0tBPH6f+TtQo9tLSBHKW2ZULZhoGGf9JY12dMCvMR6HikHol/SZjmjIKGRwOzVMfSHrc91UB9737fH0Z9gnAAaDLAY/52TSmDDQbFlrtCr6qGC6gknPJkFdjeKkUq/jYdpxzqxKDNY0mBBR1I6EJiZYnUKlQToEfRgi1wb9Ls9GgyjNKK7RQoE6ossHJ8KZmkyYCjkPtwjAOC1LPgDCMC4JVq7EMkefheGnD6R8rVuu4Cazu/q/IcV/iq1+NUKlUurbatg3bPvlck0G5RVnGfxZzc3MQQnRChX74wx/C933s3r2702bbtm143vOehwceeGD1GP/vfe978cpXvhI7duxAtVrF7bffjvvvvx979+7Fhg0bsEEVCmljmia2bNky1I176qmn8OUvfxm7d+/Gxo0bcejQIXzsYx9DLpfDq171KgDABRdcgFe84hW46aab8JnPfAYALc1cd911Q//Pufnmm/HZz34WTz/9NF7/+tcv5OsPxBD6PNGFLOM8aRv3K/iVVvTpJ/OZPN/BCkm/7cjS908esNCpdq+2WedR5wcQATjOEp/MEOzcuRPAfx+i5RyAAzj77LMXt0PrHB7zh2duv4N8Pq7Eqzz8UUThO8rJ7jixvKeSAs3nycYeGelWBjJNGkZ1XcDzBGq1OFx/sukDw4jq6HpcYEBJck5N0b6kl0olAKtqZGqyEATUESVDpAp66TowNhYnCxsG9uVLi3V7mTXNWQB+AWDHgHY/B3Ac5XK5a+uf//mf45Zbbjnpq59KbpHCdV381//6X3HjjTeiVCp1zmtZVpcMMQBs3rx56PMuFguyyI4dO4Y9e/bg/PPPx8te9jI89NBD2Lt3L6655ppT7ojjOPjud7+LV73qVTj33HNxww03oFAo4IEHHuj6n3LbbbfhwgsvxO7du7F7925cdNFF+MIXvjD0dcbHx/Fnf/ZncFXW1GmiABOibWpnafhnFflKtuun66/IyrWdPwGQONYgr9m2vBk37BW+o/b3k+/sJwWaPFdWWr4QaEigrxYdw7S5+uqrATwJYP+Alt8G8KyukBPm9MNj/vC4JxyMjJCNLUQc4pMsgNtsAsePk/Fer8djeBBQNI3Kpy0UyKGezM8F6PjDh4EjR4DZsL++v5YM0VQee00jQ10V8KL4odgrq1YAgiBevggCChlS+qWtFoUCzcwA+/cDv/wlMDcHOTWFYyPji3R3mbUK5e7sBnD3gJYSwN24887/G3Nzc11/vVS9brnlFlK66vOn4vNPNrcIoOTfN7zhDYiiCLfeeuvA9sOedzFZkOf/c5/73IJOPmzMJ0BLId/4xjcGthsfH8cXv/jFoc8rM6zqm2+++bRLwJWRm7ctS9IzPSlIb08e12+/ghw18Xf0oqgTAzpq6XGjLPpJeSY89/28+vPOlTFROB6y158ZDvLoXA7gmwD+rz4tvwl6YDCLCY/5wxM2dORy5CAPgtirr/7UhKDZpOHSsmgFwHHI86+Ed/L5OO5fPQuU1KeS4tc0iVmz/2RmY+TiBBBXD1N6/MqAtyyaYRhGXIwgl6NVAhX+A8TqPupzEMTapM0mvTYaaJoWZHq5mmGG4J//eTde97pbBrR6AsAxXH311ci3E/EH8fa3vx1veMMb+rbZuXMnfvKTn5x0bpHv+7jhhhvw9NNP49vf/nbH6w8AW7Zsged5mJmZ6fL+Hz9+fKiwxcWEhddPE0VhQ0sZ7IP0+tMk4/nTNQHUObLDfkRH5nO6ScW8LE3A0DMG4l4Gfdb+dNJvevmi13JFatXgmWiVxjwyy8S1GMb4//rXP7VE/WGY/oRNHaNlDXNzZGerMJ62YmnHxpaS7Gw1OdC0WM9frQAA8cTBMCRyjkQkBQwDmBgLMTEKSC3EkwcH6PsHbeO/2V4hUMZ6MvY0COIEX7VE0TbmO/H+6guMjtJyRaMRz1RUQYIwxOT2MxbhzjLrgZe97GUA3gDgEIBe/46+CeC3hzb8AWBiYgITExMD251sbpEy/J988kncd99988IgX/jCF8I0Tdxzzz244YYbAABHjhzBz372M/y3//bfhv4eiwFP008TRqTPs42zVHmS+7PeJxkUjt8dNiQgpcCBdrz/mUWrO9AmbcAnQ3V6afgnj+0X+pP1vh1KFEmJWf5nxiyABx/cDeBe9K4J8SsAB/CSl7xk6TrFMH1onXBgmsDmzRS+oyr7Ku+90kpQxn6xGLfJ5ci2Vna368Z2eRjSuO55sh1mL+HYEieag+WwxpVrz3UpREcV8Zqbo0lApULGvO/T6kCjQd79MIyPqdfjQgSqs8mliPYsRdo2ntl21qLdX2ZtQ17xF4EM/F7cjf/3/12c1d5kbtGDDz6IBx98EDfddNO83KJnP/vZuOOOOwAAQRDgP/7H/4hHHnkEt912G8IwxNGjR3H06FF4Hjlhy+Uy/uAP/gDvete78K1vfQuPPvoo/tN/+k+48MIL54klLDXs+T8NONIAILoKcmUl56YnAb22pckKAwLmx/xHkcSxBv2jOyNv9fba99tGJ5rfgUHnSU8Q2p2uRQDH+zML4dJLL22/ewTAZRktvgngxSio4kMMs8yEMzaEoBAelTOr6mWpeH8gdqarMCDlPE96/MOQbO5crh1mHwg0GoIUNS0TmgYcbtT79keTUadQGoDYwFchP2FIF1DVyAwjzkCOItpXrVLbZjOu4NtqURsVAgQAhgEZRZgey67jwDDDsRs0tmcphbUA3Ifdu/+fRbv6bbfdhne84x0dZZ7XvOY1+Lu/+7uuNo8//jjm5uYAAAcPHuwUBHv+85/f1e6+++7DVVddBQD4+Mc/DsMwcMMNN3SKfP3DP/zDsmr8A2z8nxZK0oHEcN78rAlBr8mCIjmpyDqPguL9yQAvmVpvRZ9+4TwLmST0apPgSMRef2Zh0KD4ctCDINv4/+hHl08ijWHSBDUTGmLPvWVR0q6uxwVwlWBOGMaVfym0J84HECK2s5vNeBJRKKhYfwoFmpztH++/xW1AhDX6oLz7amkB6I5DajbjRGCVpWzbsSyR68aliZW333FoAuB5QL2OxkiZ4/2ZU+L7378WV175/4H0AdP/ln4AoIQLL7xw0a4/TG5RMp9o586dmflFaRzHwac+9Sl86lMrK0yVf62ngaJwehr7vciyvXtNCPpNJISQACSEkJhxyetvawJmv4RddXCyM+mOZSXw9jtPZqY8ON6fOSk++9le6g8+gG936SYzzHISuBoaNdHJpwXiIVTp+Os62d/taAB4Hk0QTDOO/R8djSX1R0Zi342y20eKIUrFCJYVwo/6Gx1nejUy5oE44VctNSjNUc+jba5LbT2PDHo1W7FtSl5QzwTfj7OVTTOOa7JtHNt57uLdYGZdQLH2AYAfZey9G8DuZVfIWUuw8X8asCQtoPQL60mS5cXv1S79PitUSGtvO1ileP/txXb2mJLdBAYn+va6cJJ+xyazldtEAOr8T4w5Cci4fxCk55/kQQA5XHzxxUvfKYbJoH7YRhQJeB7ZzUEQF/eSkuznsTEy6FUemLKr1WpALhd7+aOIwu9VlWDbppDOMBIII4Hppj+wTxu0qDuWSBUQUKFAaskhDGOlHyAe+1VBgs2bqSMAnS+fp1mK+iKFAlAuY9/23zh9N5RZlxiGAeBlyI77/yZuu41Xe08nbJmdIhb0ntE1ikFJv/3i/geFD9EHAFLiaJ3iMLfnrd6JBr0Sf5MkJwxZBQqUWyu5Pz3RkBJzHO/PnCSk3/8skJ5/krsBXAONQwyYFULrRA6+Tza0ZcXFzlXOrIqqGRmJ92tad7KvMvJNM7apNY22Kfvc1ELoIsCRRv+QHxFFsIxEdVbPI11+lUmcnGXkclRqWIUAAXFcklIBsm06rl6Pz6EKfkURQgCz5bHFvcnMuuDv/z5rxfc4gMeWPUF2rcFP0FOkhBw0ITpO716JuUn6hfNk2erpdlnHeaHs6PuXTT02xNNGfz+Sxbn6Kfz0W3pL5BMckfzPizkVVAJYkm/iH/+RQ36YlYNsmrAsiphRw2693l3hFyAbWhXvUoI6yjmvam4peVBlZ4ehCssXCGEikAYO1VrZHWmzrVWD8Lz45ErHf3SUPPckIxRfVBXwUp1qteiv0SBloHo7uVjFLlUqcdGBUgn1iU39nwkMMyS04vsAgGpi670ALs6swMucPGydnSJF2PO2LUSxp1+IUK8Vg3i/VDWFMdWM4/2NZNu0h14xbBiQ8vInFYD6xf63ZytSCOzneH/mFPj615Xev2IKwA9PS3VZhjkdhL4AQtHx2KtaWmFIYjlK1Uc5h1RI/cgIRdNoGhn7Suu/XqfjVW6Aega0WqTSeWxSwhsQ77/drdHFq20DynHi0B3fp8+eR2O6EGTkz87G0kSeF0uCzs7SMb5PE4dcLs4baC95HymMnv4by6xLzj77bABnA7g/sfWboNovzOmE1X5OESdxCwdJd/YK+UkXABs2VyBG4mCVloK3F6ysBoPJSvrN2p4+Jq0c1O5gKIEm2PhnTh7S8T8I0vU/F+QBeh62bt26rP1iGEX1kN2VhKgSfFXoj/K9qNh+lby7fTsZ/M0mfU7Wy2o06FzquVAoSBiGQKsFSNsHav37NNGozH9YqBmFkhBynHhyoDKVlc5/q0XHlsuxXqlS/klmIXse4PvYf8GLTuMdZRgV+nM9AAngm/j2t29b3i6tQdj4PwV0aNCU713E4+K8hFwt26gfJvwHiG3rbgUgCQEVby9xuEbG/xn5hPHfy1ufVegrq116e9YEoUdewBzH+jOnCOn4vxjk+TkX7AFiVhqTv3Igq+QQ9/04bEc5yVWkjAqzV17+apW8//k8OeVNM54INBpxwrAKHco5EiNF4GfTzb790aIQVrMRP4yA2GgH4iUFFddfqcSzFDU5UEo/9Xoci9RqxdWAVUZzq4VI01AdHV+ku8usR772tWvxmte8q/3pZwAqfavsMicHh/2cAmU4ECkjt5dNnKRXDm76fbq9et/5LAEhJfxIQpnpo3bK256cOaQv0isUKIusxIWsNu2/gwH/02JOnY9+VMX9kwfonns43p9ZOdRPWJiZiaNmam2FzVaLjH6VX6vUMZUDXoX/NBpkY7ed6Gg0yMmuEn51LYJjU2VfXZc4VO0f77+1NguhlhSU80bphjYa1JkgiJcbVFxSoUDtVNEBlb2sinw1m/TlbJtyB1otQEpUcsVFv8fM+uKqq64C8HT775sAroJtzw+vZk4NttBOgRE4APrnOi00/j89IVDb1OoBbZPQBEjjU9Mw7ZL0m6MJ6MMkXg2S8hwmObjX8VJCRhIHJYf8MKcOJYB9G8BPAEzhxS9+8TL3iGGIKAB8V+vE93seOcpV3myzGSftKs+/ksZXcfzK4a7qZWkarQTkcsCGDUDJ8aEFLYggQNhoohVGffu0vTZDJ1MqPQDNJlTpYHWhIIjjk1RMv2HQhVXlXxW7pKoBq4ra6ksGAQ6f/axFvsvMemNkZATAFSDD/2588pPs8FkM2Pg/BdLx/snXJMkV2F4k2/RS6ew1aThQVSE/JkRWca6si/UiazUgSj1w0gnAKQIALf6nxZwGSM8/B+CDAF4Cx3GWuUcMQ8wcJH3/ZpMkPSsVMvJV/SspyVneLoKLyUnar5Qzo4i2qxj/YpHsa5L9lCgUJKyCAdFqAvU65mqNgX2a8JpxIQFl/OfzZMhv3RpfREkOJWciUpKRr2KQgiDWIFVFB8KQ9m3YAIyO4sAZOxfvBjPrlg9/+FoA/wrg/+DaaznUczFgC+0k0SCgt29f2mhXpN9nVfRN0k/xZ56seWeFICPeP0unP2tb1oxlUB2AXonBic7O8D8r5jRBev7XAPgX/M3fsAeIWTkcfzLXsY/zebKRVURNoxGH1asVgOlp+lNh9VLG47qS5DcMoFgIMVqSyFkRjFYVIgghPQ+HG/2Le+lhAMtqV+9tNOIxf2oqduKUy/GfpsWVfatVqgVw7Bip/FQqNHNRxcDm5qhNrUYzlgMHEExPo14aXbwbzKxbaMX3LgCbcd555y13d9YkbKWdJCOwuuL90zZ18i8ddt9rgpDc1msikLygkBJ+GCb0/bXui/YL71EyFElt/3SbXsemv3Cq6NeBkP9ZMaePf/on8vywB4hZSTQmzY5wzshIXKRL1c8Kgm75T7VopSJygiAO5/Tbdr2uA5YewohaEGEAmBbgUzzR/qB/SOeWwIVotWI5zlY7P6DRoIvV63GCgYpFUlV+pYxVflSygpq9qIJeyUlFPo/q1jMW8e4y65kXvOAFADYAuLZLTYs5fbDaz0lSRr7zfpCh3suYV7Zzv2KlyeJhdLyk3EdISAAz7Xh/SxMwkKHIk3zt9z45CRg2dChjvwRwiP9ZMaeR66+/HsA/44ILLljurjAMAEBGgPR1UuLJxb6QZpNsZau9CKvrsYRncjhWlX1dN87BLZVoBcGwDQi3BeF70IMA0HUEno/WgDyqHbMnaBZy/Hh8IV0no10Z/ErWM7mcnExUULMQFQqk2goRz3IKBUAIHNzJHllmcaAV3/+FJ5/cvtxdWbOwlXaSODC7Pg/S+FekKwGnVwmyVg3iY+jpIRL/PdBWf9ieN2iGPEg6KIt+skSDVgCSXwaALyUCXlBiTiOjo6OQ8j8udzcYpsPcURNhu7iXUsbUNDLylTffsui9kvxU+5VzvW3XdyYKShnIawF6FEEoOaAgQEUYgOivrDNem6VZiWHEhnyhECv6qBmKkhZyHGrrOBTWo6Q8VcJvvu3gUpMIFavUfijt37pjcW8ys66R8qrl7sKaho3/k0AAMBIGbtJGTmr6q3398gAGXisr+TcijX+K9yfj/4ycla0dmkWvZN1kuNBCQ4Ha+6YjNvwZhlnbHH8yjyiKI2NUXqzZ9gkJEWv1q7xbz4v3K81/lQBcLMYTCF2XQAhIISDahvaRlLMpjR6FsKMw1hVVMw2A4vSVYa90/pXij1L00XVaelBfRq0GjIzQdsOIv0AYIrBttPIs88kwqxU2/k+CQka8f1KKc1C4fTq/NlnAK033NgES96cXP5II2kb3qJVYUkgq9PRR5elKUkh78tP7ehTzSk8W9rPEJ8Mwa5zJpywIGYfOz83FzwAVIl+r0bZWi4x7KeN2tRo52PP52K5WxcBMEUIE7VLAtg0ZRdjn9X9Ub2pUIJSsUKNBBryS5lQTAmXYR1FcWcz3KVapUEBHs1SVI3bdOC6pXI5linI5zBXLS3CXGYZZLNj4PwlG4Mwz1nsZ/P0Me6C34E4yDyDeFxvgUgjMtgIAgKkJGP0MeHVSIPYK9WsziCzpz/bhRyT/k2IYZu0iJTA3pcNp28IBDcMIQ6p/5Xlk2KuIGinJplZx/1EUS32qPFqVKFyvA7KkwZIhNM8DDAMhBFz0d6qc6dXpJOphU612Jg+d+H2APPlK91+FB6lYJaXnrxJ+oyiWKVJhQo4D+D4O7jx/cW8ywzCLCltqJ0EBZq+Q9y6GUfXptS9po89rIyUEgINtic/teRNCNVaGeTqEp5e+6CDSXv+sCUL7Gi0BhFjg+RmGYVYR1eMGBAR8P5a/N4zY9g4CdPapwl4q8deyaP/ICO0LAjo2img1IIoAXddQGC3C9n0Ir4WqNbi2xbjv0jJCFJHB32ySMQ/Eev26Tp1S4T+5XFyFjOKN4vFdhQmpjOZEkTApBA6cxcW9GGY1w8b/SWBAz0zuTf8l93cn7sbnylL6SR4f29yStrUNfyklDrXj/bcXrO7GQP9wn16kJwpZqj+9dP+FwFTIhj/DMGubmX1OJ5xeiDh0py2CA9elYbFej2U9leiOUtdUCkEq2dd1k1KhGvxQwC4WAJnH0Tm3b3+0KILTaKDjd1FJu7Vau4EWX8yyYgWfep2M/Hw+fq8SezWNXqMonr34PuB58HUDnpNbnJvLMMySwMb/SdHW2+kh59lrQpA8Rhn96RCf5PnSn4UA2oI/8KWEH9GHspX635g21pMTgX7yn728+1k5AKpdou3+iP85MQyztnEnbRQKcUEvIchwV851FeqjQnmUjL5txyu6ythXDneVOExynxKWJYC6Cxn42O/rQJ8V1c2VKQi32X2BZjOW7ex03KWkg5GRWHJItVUPIuXxDwL6K7dj+xPPkdnNWxfpzjIMs1SwtXYSpA3zZLJvsk3WJECRThLuNXFIn1sKSjWea9GSriEAUyROmnzt1eF08m5WKE9ywtDP+E+c4hj/c2IYZo1TOWFgZCQ26gF6r0LlR0ZoIpAeZhsNWh1Iiu6o0HrLoogcIYCcAxihDwggMk3Um/37c2Zlik5erdIGFdOvpIWUca8KfxkG/Sm1H9Mk73+1Sl9CPZw2bKBOqS/YDgs6dA7X22CY1Q7rMp4EWYa82p7VdtDxyXP0E9RJ7jxUpaXgM/ImRFZnBsXpZ5F+WqltyfCfHgXAXAARx/szDLOGaVV1yEjrRMQo54znxSsAuk72tGXFvhLDiCNqgoDs8VqNXnU9luW3bSrqK2wLolBANT8ysE8b7HbSgPL0m2YcqgPESxGNRpxh3GzG3iVgfsin58VLEnNzndmKDAIcPPOc031bGYZZYthVexpQxnwvxZ90eFA/KdBkONC8YwAISZV9D6lk34LVX38/K/a/32SgX8hPn+NOsL4/wzBrnOZRpyODr3T+lZ2t8mY9jxzsKgE4uS8IyBZPKgSpWlwAvY8igci0EZkWDs/U+/ZHyAi2oQPj41TZV0lzqk4C8axExRklixCo/apDahVAzUxU9nJ7thM4Dvwcx/szzGqHjf8FYEJDhG5Pf1bybjrWP2nsp8N6ktsU8zz+irbhH0YSrXa8/5jZQwKul4Z/ettCVwd6sJ8lPhmGWeM0j9solcjGVjWvDIMkPlXIvefFYjq5XGxzq+eD0v6XkvYDsaiOCrfXdQFA4HCtf7LvlkYVYnaWTpjLxWO7iisCKHxHhfMk8wBUwYFWK+5gs0mflSyR59EkolgEdB1Tm7edztvJMMwywRbbAijBwSzme+XTE4CssJ7kRCDZpt+koIvERWdbNIDrAjB1rWe7zgmH2dYrByCt/JM8R6LJcY4gYxhmjRM1TWgaeeqVXKfjxHKfKg9ARd54HrVTIfZqlcBxSGDH87qThT2PonN0nZw8FT/o25/tfoMuWKnEYTymSdvGx6mRplEmcRi2CwnI2KhXHiZ1XKsVL2e4bjwBaO8/eNa5S3CXGYZZbNj4XwAjsDE7ZNtBSkDptr28/52VA00AEoAADtfJq3NG3qIo+2ESeLMumqwDsBBSSQ5NCUg2/hmGWcOEnoAuBIy27L2qyGvbZNyrQl5qNUB59VXIj4r7V9L6Sed6vU7bxsbiMKFm2N/wB4CJqF18a2SEOqAq+Op6XERAPUxsm2YtqpxwtUqfdR2YnY3j/JXmaLFIM5F2grAUAkd2nrd4N5hhmCWDjf8FYLVvV9q7n9blz4rr7xfnn9yXfN9dF0CQ0o9IxPvnrd4nHMSw4T7JzqSTfduvkxzvzzDMGsc97sA0RceQV+O+68Z6/creVnZ0sUiGvAqzV17/Wo2OU3kBUUSh9sr5LiVwqNHq36EogmMkYomUMo/qYLqKmAr7UV5/1flaLc5YzufpONuO45bacUy+k4PvDC44xjDMyoeN/yHRoUHLULPJ8vCn9/eaKCj6hQGlzxVEEZoBGeHjth7v6GXEZyX89lDs6bpwZsaxyDz2AOv7MwyzxqkdcSDbjnbfJ6e40vFvNmNlzVaL2iTfSxmrZeo6ReGoomDFYmxn53K0P4qA6bB/vP9mtwYxORkb7K5LJ1BhPyMjwMxMnMybDPGJIuqc78de/lyOZjFqm0r8nZkBDANT23Ys4t1lGGYpYattSEqwgERxryzjPO3dH2TkZ00KkupriTN33lU9Gsh1AZha6gInk7TbSxFomHCgdgIyx/szDLPWac2YMER3qLzKlVWCOYUC2c/lcuxwV+O548SGvZTUVjnsSyU63rLUaoBEZc7v25/t9dk4jkhdLJm8q7DtOJbf8+LkBGX0A/ExrRb9KZkilbAQhjh49rMW58YyDLPksPE/JCPC6XKKZ1XmzUr2zTbmex83L+QHkra32x5p6/tvyZnz4/37JfFmkbW/nwpQOqZJCDQhAA77YRhmDSNDAKEGvz0cmmas5BOGcZi8SvwFaJsy6IWIHerJPAHle1E2u3queDIc2KeNtTnANOJQHnUhZciHiXMYRqz002zGnVOdV59VkQJ1nrbUpwRweAt7/hlmrcDG/5DkYPaU6eyV3JskK5ynp7IP6CGgarSoJgLAwRqVe9yeN+OG6QOz3md595Md6VcrIH2uRPtjUY8vwDAMs0Zwpy3YtkCzGQ+lyshXkwAhYs89ENvVaptyrJdKcXh9tRpPDEqluPjukWr/eH8RhcghAiJBJ2+H5kDX6SLlctxY02LtfykpuzgI4kIFKkE4iuJlCRXi2U5S8ISO0DAX4c4yDLMcsPE/JHoitCWtxAN0e/f7hfUk32etHqT3CyEAQRcJI4m6T0+eDbYxvxNZJ+o1OVioOpByUaVmKwcifiAwDLO2aR5zEIZkX7daZD87DrBxI9neqrJvchU3l4vzbpWXP6kEpJJ7XTeO/1f5A4ca/eP9NzTrEK5LGv4q+UBpiZpmvOQA0AnVfpVNrOt00VIJnRmN+gIAta3VOs+Q6fFNi3yHGYZZStj4H5r5Hu5E9Ev/IzNWA/rlBsS1AGTXdaptzWdNAHZa31+5o5IG/zBhPckVgQFe/s779ucIwF8q4KkAACBWSURBVAmO92cYZo0j62anTlajgc5EoNEgD35SySfpNLcsMu7VEKpCg3I58vYrZU7XjY+FkKgEXt/+nNlqLxk0GnTSsTE6iXqYtFrx0nGywJcQ3Wo/jhPPUlTokEoebjZpn5Q4cMbORbu3DMMsPWz8D0k/YZxeJI3+5ESh12oAEHuOOvvp6gAEjrYlPjfbRjwVOcXKvJkMuRLQhIasSRHDMMxaIvJ0FAqxl77ZjPX7lVa/acZh9Sp8B6CcWqX4EwRxonAy3F7XJUxdIl8Q8KP+hj8AbPTasw7Pi0sFK13+dFLa6Ch1OPnAUvJEqkKZaquWJ9Q5gwBSaDi8+YzTdzMZhll22Pgfkl5JvOnXZJvk+Js8PuuYrGRfMsJpIBcADlTI+N9RMDNDcOJjhvwi/dokVwHSKwLtzh6L9MHnYhiGWeW4LgnflEpkuKuwHSWykw7lVAm9qo1SAFK5ucrJThMDiSiMYCCAoUmcqPcP+RFSIqe34/jz+VhSSFXybbXzBTSNkgo2bKBtSs9fafqXy3GiQhDQl1ShP5bViWXycnlEOpsKDLOW4F/0kCSN87RjpV/yb/JVkY71T68MdM4FAJGEkBKRBKo+qTdssM3hpDizSIfwZJ1HdSSt6Z9qu5+Nf4Zh1gFhKDpFuZTOvzLsVbFcVaRLOdJVLoBaHVD5teq97wNhKBGGQM6SgB8BkcT+Rn/P/6hbhxYEdEHf7z65kugE4qUHtRqgqvkKQfuKxTh0KIpokmDbwIkTcVJDFGF6dGKR7y7DMEsNG/8nSTqpNx3SkzTwk/r/ybD5LCd8bF/LdvwnnbTW1vfXADi6hqT2/0D6xf4nO9wrXyBjohABmAYb/wzDrH1yuXjFV4X0qCTfVouc6SqvVgnmKNR4X6uRvV4oSJRKArUaEPkR7CIQSQFd1xFJYLLVX+bzrOp0HL8PxNqhyvhXMw71ANL1eIlC7VNhPcrLr45V+QGmSV8KwD6W+GSYNQcb/ydB2mufft9L1z+9UqBEF3rJgybt++N1GognHJ3aqX3pWUQ/Q3/Yz2nSMxYp0ZACHO/PMMyapj00KilPVahLhfYoT38UxUm/QUATATUxyOXos0r83TQRoaC7KJQEAhgQkUQgTHiRgaYfIhowHG9q1dt9k3GxrvQKbhTRbAOgC6vJgedR5x2ne5kiuZydzwPHjgG6DikEjrHnn2HWHGz8L4BBIT3Jao5pQz4dGjRo5UCA4v0FACkl9lVJ3//Mgh2fKKnYk47NX0hIUB9Fn3ltlL6/ZJUfhmHWOP78cU7ZzMr2dhwy+G2b7Gz1HFDh9CriRun9y0hCa9Wg6xqsfB4QBhBGiEKBmtdf3x9SIq9rQKPZ7WVSGv2+Hz8PVJEvZfSHIf3R8kN3AQJ1TDIfIJdDy7QQarzCyzBrDTb+hyTLM9/LoE/vH3S+rONUvD+khAQw56l4//b/sn76/QvR8O8V99+r0+1DnuF4f4Zh1jjRbA46KI+2ViPbuliMc2RVDL9tdxv9alVARdUoWX0hAN0QQEAhNjIMIXQdlvBhGcBPZ/sn+5ZbTQit/cCoVOg1n6elBZVhrIp6qdj/cjnurBCxMpCaMKiyw41GnEPQXh2YMnKLf5MZhlly2Pg/CdKx/VmTgvTKQNq4T9rc8wuFyU7ilpQS9XairwCQMxKJBMnXXgwq6qU6kKXqk4WgNYk5jvdnGGaNE85ZMBFHykhJ3n0VbaNs5zCMne3K+C8W6RyqwJfr0nnmpAZzbBymHkFqBgwt6jh5jjWDvv05K2xABAF1RtNoRqKSCVR4TxTFxj4Qx/ED8UykUokfQkEQV/gNQ4pVags+HDDLi3ZvGYZZPtj4P0l6GfxJw16RDAVKJ/72yg9IGuAn2vr+Y3aiznAvb30vw32YSYB6HTAZqEmA4/0Zhlnr6KEB6HEMv5FYeFVKm0KQ/Z2s8Csl2dKWFQunqRpcUgrMVg2MliNYYQsAndgLQoQDnDmbDREn43penIksZTw7UUa8OtfsLLVTxQWUwa9WCKpVejVN8v57HhBFkJHEsfHiot5fhmGWBzb+hyRLrrO/Wk//44HeicNSUsy/aBvgB9rG/86CFTfoZbinOwlkV/HtddygSQKA4xzywzDMGkeEGsx2JXUp42Jetk3v1QRAOXGUOqZtk7O91YpFdpStrV7DEPADwJIBhf5EEWZq/UN+ICXyUUgxSJUKnUwtO5BuaBy/D9B+gGYmrVZcFEzJgbbVfDorBEJ0DH8IgZauI+zpnWIYZjXDxv8CSMfoJ6vxpuU8k68LOX9ndSCiDRGAKZcG8Ymc1X1AP9Wefkm/w0wS+hyzL2KvP8MwaxuzYcG2yW5WUTGFQiyO47pxLSxV9EvZ21KSPV6rxcI6URSrBTUagGUJ5PIW9IDiiA41+0t8lmQAPSk/pEJ7lDdf06izafUf1Uk1E1F/rRY6xQuU7JwKHTJNnNCdRby7DMMsJ2z8L4BeybyZCbt9JgC9JgU0geg2zN0w6qh65pW+f7/lhWETd9MFvAah9P0lx/szDLP2CWZzcEbJRlaKmCp+XyX3+j7Zze16WF05AaqNWhlQ4fRKTVMIgapnwTIMeB5wsDHZtz87Qjc28A2DZhzJrGO1FGGadAElP7R5cxwmpJYhkhODpCdL1ztJvwc3b1r8m8wwzLLAxv8CSKph9nrtJd2pyKoF0B3yI9oyn8SJpg8AGDN1aAJd2v/zMoezJDvTF0gv4w7KG0jtJ4Vp9vwzDLO2ac4aaLQXWzdvjqNrVEFdTQNGRuJqvk1SY+68N4xYCUjZ5VFE++JEYYFaTUckI4QDCjduQcLAD0My3NUFfXpOdBw7qvAAQJV7g4Bi/1VMv+PQfrUsob5cu2iB1DQcdUqn/6YyDLMiYOP/JEkb9Sr2M6tNL0///MmBBCAgZQRl5x+s0BNlR9GaH54zrOJP1iykV7teIUHt44+yvj/DMOsAGWpw3Tg8Pp+n980m2cuOA4yPx7a48v77Pr0PQ3K8+z6FC6niuu2Q+o76DwBUA39gf4ojRaBRpxM0GvFSg/L2A3FckeOQIX/4MMkOqYq/YRgvX6gwICCe0QCAYaAlNEQc788waxY2/odkkP2cjPlPx/9nKQFlOeWFADRBEwDV4LhLD4VNeau7YS+Df1DGcXplIGu1oNc2AAdC/ifDMMzax9DjwbnZjGtiqSgbTYsFd4DYkC8UaHurRa/KyFfOeOWQVwqcQgCz6J/sWzQ16KURWnQNwzikRy09KKNelSK2bch2cS7pOHGBApXcOzND7dSXAuLqv1JiyiqcrtvIMMwKhC25BdAvzCfZJmtbr3NlX4dO4AZxqfei2Y6zV26jpIHfK9wnqfzQ70v1yx9I7I8kMMvx/gzDrAOUc1wl7zYacSg9ECv6KFVNFYav8muFoEmDGoaVo16N/aZJxwgBzFX7G/9nFHNAoR2q02rRicbG4ueBWnIwTUjDQEt30PJp3A51k9aU1ZKFrgObNsXPBk2jjtdqNKsRAgcclvhkmLUMG/8nyTAGfVbib1Lzv9fxUkoIITDdICm2kqkhcwF22GTdUyFxjfoSXI5hGGYlUChQcVwlk6+MeCWSo6r8KoUfFcqjhNaCgI5XicLqeNeNz28YQBBGaMn+TpqteRNS1yEEZYQJy4pliNQMBQCkhNB1QDfRarWN/0iHNNrH6DrNTHQ97rx6KKl4f8PA0RrndTHMWoaN/yHppeDTL54/jRJU6BsSBAlAQkqJg23d5zPybVdTOtZfHdQnQXfe9oXqjybgeH+GYdYLQUD1rwCyi9UQqkLslepPssKvCvdRebRS0sTBMOhzrRbX4FKTgEY0ON6/pAGIJCLLBnQDMoygCS+eeaiTFouAacISspMP7IcaZN6EbGcki3ye2uo6pG2jBQum9KC3ZyitIERU807jnWQYZqXBxv+Q9JPNzyLLxs6qBTC/vaRkXylxpN4CQF6fvhdPhu70Kuy10FWCjMkCx/szDLNeUMZ/Pk8GvQr3UTH/Smo/Wem31aLoG5Vfq4ZeFQakVhD0dvSkpgGVsL+hnTM06LaN0PMRSQ2RMGEZAaKREYgggIiiuHiA6yIyDAhEyJn0DLDNAGGgQegGhIyoGlnb2y8tC5quQ7gRpBAQYYgpf0CoKMMwqx525Q6JGsyTpD34SYbNuY2PpVAfegf4kUTYbjdiDiHPOSgbWZGl7z/EsRTvz0vBDMOsD1Qcf/KzGjZVpI3S/1e1toBY1QegobVeB6amqCivpgGjo3EdLiGAOTT79uOMgg0JIBAWApgwdEDIiCrAmyakZVGHLAtwXYhKBTJCRzLaEBEsLYTmWBT6kyhaIKSELiII9YjRNBxw+xcbYxhm9cOu3JOgXwjQqSQAC8RLA7MeLecWDEEptlkJvml5oUGa/b22pVcNkq/t9/UIYH1/hmHWC0q/H4ilnD0vnhCoPFnXpRUAw4iL7apCu7pOsf3VKq0IqBpbhtFeUfAkmgOM7a3FHMJQwnXbziGpw7JyQBTBdSU0SOSsAFoYQto2EEXQmnWK/QdoZcDz4iUJ04SMIghdh/A86I1aJ2FYRhGOeuwTZJi1Dhv/C6CXHT2MwZ+1b147SfH+AsChqor3t7LDenp1LkuuM6sTvb5M+q/NsYgfCAzDrB9UIVwhyJBXRXI9Lw7jUTkBSsdfGffqeKWmuWkTTRTagjzQNIrSCYxgYD+KpgkhREeW33UpdyCX0zA7164voOnI5Q1oYQvSsKCFfmcpQkYRyX2GIUSrBWmaiOwchAyhKfWgZhOQEp4UiDgggGHWPMv+K//0pz+Niy66CKVSCaVSCbt27cJdd93V2X/LLbfg2c9+NgqFAsbGxvDyl78cDz30UNc5Hn/8cVx55ZXYvn07PvjBD3bt27lzJ4QQePDBB7u2v/Od78RVV101dD/7GfL92g1KEu6aACS2H6614/1zCX1/IDbKk9pxanvytV/H+9FjwrA/YolPhmFOndUy5quitwC9qqTdZGJvGMYrBCq233HiP5UorFYOWi2aFFgWSfRXw/4Sn6YmIEMBIUMULB8FJ4BtS2ganSufV9cWcAMDkZWHQASp65Aqrl83EGomWtYIwlIZQSjgexIRNGqn9EYBTEle3WWY9cCyG//bt2/HRz/6UTzyyCN45JFHcPXVV+O1r30tfv7znwMAzjvvPPzd3/0dfvrTn+J73/sedu7cid27d2NycrJzjj/6oz/Cnj178K//+q+488478f3vf7/rGo7j4M/+7M9OqZ++DCDbMZT9vPrJV6B7ZaCXHd6xtyV5/f0wQqst8F+yM0oHpz+ntfxPR4JvorMU77/s/1QYhlkDrJYx3yj4CNsSnK5LBr9S7zHN2NBPFv7y/djbr9oIEecEaBq1c10y3o+6g/T9LRiaROQHkK4LEYXI5YCREdmVbxBFgKGH5OXXDYSRBq/tsAmFiaYrMFcRqHs2PC0HzxfwA4F6SwcMk76U42A/zFO6ZwzDrA6W3aK7/vrr8apXvQrnnXcezjvvPHz4wx9GsVjseG1uvPFGvPzlL8dv/MZv4LnPfS7+5m/+BpVKBT/5yU8655idncUll1yCiy66CNu2bcPc3FzXNd72trfhwQcfxDe+8Y2T7ufPWifwWPM4AODxxjQOulXM+i48GUAICtcB5tvO/WpoxUjIKG5U9Wkp2NIEjIVWCBtmf5KsiUPyFUrfnz1CDMOcOqtlzDfOm4J9IU04/O1TaI3PISg2oOV8mHaEKJIdr75aiFWKmwBtV4a5kgTN52PdfyEkamH/sJ+t+RxMPYQuJOA4CDQLzSYQRaKrlqPvA0GokYRoA/AiA35Aj/dIChiGQLksOgpElvBgwUfOigBNQFoWZC6HYz4Xc2GY9cCyG/9JwjDE7bffjnq9jl27ds3b73ke/vt//+8ol8u4+OKLO9s/+MEP4pprrkE+n4emabj22mu7jtu5cyf+8A//EDfffDOiQRVvh6AS+jjg1fCLxgwenpvE92aO4sGZ4/jJ7BT21aqYarXghgFke1KQVH7oFfKT3H64TtJv2wsmKTooskJ7Tkehr+RKQVqSCMBx1vdnGGYRWC1jPuwAYbkBb+McZjacwPTmY5jafBQnSpOY1Ocw7TdQ9X2EUQQIiVYrNvJLpXhYbTvYISXQDAar6hR0CxAaNAFoQQAtCtoFxCR0XXZWG3Qd8DwB19Ph+jpcF7A7EaM0lgdBnJBsaIDmudD9FoTvQwiBltA6CnMMw6xtVkTC709/+lPs2rULruuiWCzijjvuwHOe85zO/v/9v/833vCGN6DRaGDr1q245557MDEx0dn/qle9CpOTk6hUKti4cWPmNd73vvfh85//PG677Tbs2bNn4Z1MarmF8wdtHyFmAh8zrW7ZNlMTKJkGxmwbZdtEwdKRMzQIISAEoGmSHgxtA1wAODBbA0KJjaYGP0h4htRDLPkwS0t3ZiTrIoo65/FV35P1AJLtUwm/UgJP+wLAMsq/9bnvKx7ue+/zMuuWtTDmA0CghQjsFmDH24QEjEhHoWVhxLRQ8HXIQEcYCngeEIbktT/crPf9LegC0EWIuitg6hoEQvhegCCQ0HRAExTrr2oNuC5NLFSYUcvz2133QYI/opNw7BsaTN2EFoQwdKo+ebzurZzf5moeN4HV3X8e99cFK8L4P//88/HYY49hdnYWX/nKV/CmN70J3/nOdzoPg5e+9KV47LHHcOLECXz2s5/FDTfcgIceegibNm3qnMO27Z4PAQDYuHEj3v3ud+MDH/gAXv/61y+4j/qvH4Oez9P7px4b+rgIwGz7b0HXA/DIkws8aAjuefTRkzpuJaT7LuS+rzS474nzNRqn9XzM6mMtj/kAjfvV9l/fawzYf+8TC7psJvfff+/QbVfCOJ9kNY+bwOruP4/7a5sVYfxbloVzzz0XAHDppZfi4Ycfxic/+Ul85jOfAQAUCgWce+65OPfcc3H55ZfjWc96Fj73uc/h5ptvXtB1/uRP/gS33norbr311gX3MTzn+QhzeehPPYbwN54fl2hcRCYcHc8fz8PRNYq47+X5T3v6k5/bbX3fxz2PPoprLrkEpopD6uPxV8fVIuC+wFm8LzkMYbik9/20wn2ff9raIJOIWevwmD+YkmVg1+ZRaFqEqP2oDgKAHPUhDBkg0gyEUke9TqsKKr9ACBrzf/GLe3DJJddA00wUCujIhSrp/1qNVgIiKfFY/ThWTG3f1TxuAqu7/zzurwtWhPGfRkqJVqt10vt7USwW8f73vx+33HILrr/++oUdrOvxDyH5fhE54QP3HqPZclHXsMHRMW7qGDUFCpqAqQkIZcgnw3+yKvq2X01dj43/rGPUto7029J816FYovu+KHDfu8/HMAl4zJ9PJZT4wYkqtjkGxnJA3rIQhDp0HdB0E7oewdQEvEDAcVTir+ioEqnuapoJKc1O/YFcjvarnAQACBEiclfg73I1j5vA6u4/j/trmmU3/t/73vfila98JXbs2IFqtYrbb78d999/P/bu3Yt6vY4Pf/jDeM1rXoOtW7diamoKt956Kw4ePIjXve51J3W9t771rfj4xz+OL33pS7jssstO87dZPGphhFo9wj74XdtHDYFxU8e4KVDWBfIaYEBC9CoM1q/ib3oCAGB/xCo/DMOcPnjMH56KF6DiBUAllgS1NA1ly8DGnI3xnI68YcJ2dBi6RF0qFSAJ06TxXNUnSNpelinbKnUaogioRt6Sfi+GYZaXZTf+jx07hj179uDIkSMol8u46KKLsHfvXlxzzTVwXRf//u//jn/8x3/EiRMnsGHDBrzoRS/Cd7/7XTz3uc89qeuZpokPfehDuPHGGxd0XLNWpeWwRoOWr1bILLYB4HBqmwAwrguMGQJjOjCiA3roo9FooFKtwlQVZ9LGfipZOJISh30byy7zuQLv+9Bw3+fR5OXfdQ2P+adGA5RDti+1PafTpKBs2ihZBka0CI1GA2FYAWDCdWlon56mAmO6FkFoNLY/NTmLRn3hKyuLxgq87wtiNfefx/11gZDydGhFrl1c18XZZ5+No0ePLndXGGbNsGXLFjz99NNwnGXOJ2GYFDzmM8ziwOP+yoGN/yFwXReex8uiDHO6sCyLHwDMioXHfIY5/fC4v3Jg459hGIZhGIZh1glcupVhGIZhGIZh1gls/DMMwzAMwzDMOoGNf4ZhGIZhGIZZJ7DxzzAMwzAMwzDrBDb+GYZhGIZhGGadwMY/wzAMwzAMw6wT1qzx/3/+z//B9ddfj23btkEIga9+9atd+9/85jdDCNH1d/nll3e1abVa+OM//mNMTEygUCjgNa95DQ4ePNjV5gc/+AGe//zn46yzzsJnP/vZzvbLL78c/+W//Jeutp/+9KchhMDnPve5ru1/8Ad/gCuuuOI0fOvlZ9B9T/K2t70NQgh84hOf6Np+9OhR7NmzB1u2bEGhUMALXvAC/K//9b+62vB97+Z03HeA7uvVV1+NQqGA0dFRXHXVVWg2m137+b4zKxEe85cHHvOXDx73mZNlzRr/9XodF198Mf7u7/6uZ5tXvOIVOHLkSOfvG9/4Rtf+d77znbjjjjtw++2343vf+x5qtRquu+46hGHYafOWt7wF73//+/GlL30JH/vYx7B//34AwEtf+lLcd999Xee7//77sWPHjsztL33pS0/1K68IhrnvAPDVr34VDz30ELZt2zZv3549e/D444/ja1/7Gn7605/id3/3d/H6178ejz76aKcN3/duTsd9/8EPfoBXvOIV2L17N/7t3/4NDz/8MN7+9rdD0+Jhgu87s1LhMX954DF/+eBxnzlp5DoAgLzjjju6tr3pTW+Sr33ta3seMzs7K03TlLfffntn26FDh6SmaXLv3r2dbWeeeaZ86qmnZK1Wk5deeqn8+c9/LqWU8u6775YA5OHDhzttN2/eLG+99VZ5xhlndLbt379fApD33HPPKX7LlUfWfZdSyoMHD8ozzjhD/uxnP5NnnXWW/PjHP961v1AoyH/6p3/q2jY+Pi7/x//4H53PfN97c7L3/bLLLpPve9/7+p6b7zuzGuAxf3ngMX/54HGfWQhr1vM/DPfffz82bdqE8847DzfddBOOHz/e2ffDH/4Qvu9j9+7dnW3btm3D8573PDzwwAOdbR/4wAdwwQUXoFwu4/LLL8dznvMcAMCVV14J0zRx//33AwB+8YtfoNls4i1veQsqlQqefPJJAMB9990Hy7LWzXJYFEXYs2cP3vOe9+C5z31uZpsXv/jF+PKXv4zp6WlEUYTbb78drVYLV111VacN3/eFMei+Hz9+HA899BA2bdqEK664Aps3b8ZLXvISfO973+tqx/edWc3wmL/08Ji/fPC4z/Ri3Rr/r3zlK3Hbbbfh29/+Nv76r/8aDz/8MK6++mq0Wi0AFINoWRbGxsa6jtu8eTOOHj3a+fwHf/AHmJqawuTkJD71qU91thcKBbzoRS/q/Cjuv/9+vPjFL4Zt27jyyiu7tl922WXI5/OL+4VXCB/72MdgGAbe8Y539Gzz5S9/GUEQYMOGDbBtG29729twxx134Jxzzum04fu+MAbd96eeegoAcMstt+Cmm27C3r178YIXvAAve9nLOgM4wPedWb3wmL888Ji/fPC4z/Ri3Rr/r3/96/HqV78az3ve83D99dfjrrvuwhNPPIGvf/3rfY+TUkII0bWtUCjMe2AAFA+X/MevvBgveclLurZfffXVp/x9VgM//OEP8clPfhL/8A//MO8eJnnf+96HmZkZ3HvvvXjkkUfwJ3/yJ3jd616Hn/70p13t+L4PxzD3PYoiAJQU9vu///u45JJL8PGPfxznn38+/uf//J9dbfm+M6sRHvOXHh7zlw8e95m+LHfc0VKAHrFwac4991z50Y9+VEop5be+9S0JQE5PT3e1ueiii+QHPvCBoa577733SgDy4MGDctOmTfKhhx6SUkr5wAMPyG3btsl9+/ZJAPL+++9f2BdaJaTv+8c//nEphJC6rnf+AEhN0+RZZ50lpZTyV7/6lQQgf/azn3Wd62Uve5l829veNtR1+b4v/L4/9dRTEoD8whe+0HWuG264Qd54441DXXe933dm5cBj/vLAY/7yweM+sxDWrec/zdTUFA4cOICtW7cCAF74whfCNE3cc889nTZHjhzBz372s6Hj1q644grYto1bb70VzWYTL3zhCwEAl156Kebm5vCZz3wGjuPMk5tbq+zZswc/+clP8Nhjj3X+tm3bhve85z24++67AQCNRgMAupQGAEDX9Y6XYhB837sZ5r7v3LkT27Ztw+OPP9517BNPPIGzzjprqOvwfWdWEzzmLz485i8fPO4zfVnu2cdiUa1W5aOPPiofffRRCUD+zd/8jXz00Uflvn37ZLVale9617vkAw88IJ9++ml53333yV27dskzzjhDViqVzjn+8A//UG7fvl3ee++98kc/+pG8+uqr5cUXXyyDIBi6H7/9278tR0ZG5Cte8Yqu7S9/+cvlyMiIvPrqq0/bd14J9LvvWaTVBzzPk+eee678rd/6LfnQQw/JX/3qV/Kv/uqvpBBCfv3rXx+6H3zfF3bfpSRPUalUkv/8z/8sn3zySfm+971POo4jf/WrXw3dj/V235mVA4/5ywOP+csHj/vMybJmjf/77rtPApj396Y3vUk2Gg25e/duuXHjRmmapjzzzDPlm970Jrl///6uczSbTfn2t79djo+Py1wuJ6+77rp5bQbx53/+5xJAZ2lZ8aEPfUgCkB/60IdO+buuJPrd9yyyBqMnnnhC/u7v/q7ctGmTzOfz8qKLLponAzcIvu8Lv+9SSvmRj3xEbt++Xebzeblr1y753e9+d0H9WG/3nVk58Ji/PPCYv3zwuM+cLEJKKU//egLDMAzDMAzDMCsNjvlnGIZhGIZhmHUCG/8MwzAMwzAMs05g459hGIZhGIZh1gls/DMMwzAMwzDMOoGNf4ZhGIZhGIZZJ7DxzzAMwzAMwzDrBDb+GYZhGIZhGGadwMY/wzAMwzAMw6wT2PhnGIZhGIZhmHUCG/8MwzAMwzAMs05g459hGIZhGIZh1gn/P/NfZaRDe+v6AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 800x600 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "load_and_plot_ssha_data(data)"
   ]
  },
  {
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