{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Copyright CNES\n",
    "\n",
    "## Read and plot a SWOT-HR Raster products \n",
    "In this notebook, we show how to read the SWOT-HR raster 100m and 250m netcdf products with xarray and how to represent a variable on a map with cartopy."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Libraries\n",
    "Please note that apart from the libraries listed in the cell below, you need to install the h5netcdf library (conda install -c conda-forge h5netcdf). This will be used by th xarray.open_dataset function to read the netcdf files."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "import rioxarray\n",
    "from pyproj import CRS\n",
    "import os\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Read a SWOT-HR Raster netcdf product with xarray\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "  font-weight: normal;\n",
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                  (y: 75, x: 59)\n",
       "Coordinates:\n",
       "  * x                        (x) float64 2.712e+05 2.713e+05 ... 2.77e+05\n",
       "  * y                        (y) float64 5.558e+05 5.559e+05 ... 5.632e+05\n",
       "Data variables: (12/39)\n",
       "    cross_track              (y, x) float32 ...\n",
       "    crs                      object ...\n",
       "    dark_frac                (y, x) float32 ...\n",
       "    geoid                    (y, x) float32 ...\n",
       "    height_cor_xover         (y, x) float32 ...\n",
       "    ice_clim_flag            (y, x) float32 ...\n",
       "    ...                       ...\n",
       "    water_frac               (y, x) float32 ...\n",
       "    water_frac_uncert        (y, x) float32 ...\n",
       "    wse                      (y, x) float32 ...\n",
       "    wse_qual                 (y, x) float32 ...\n",
       "    wse_qual_bitwise         (y, x) float64 ...\n",
       "    wse_uncert               (y, x) float32 ...\n",
       "Attributes: (12/50)\n",
       "    Conventions:                   CF-1.7\n",
       "    title:                         Level 2 KaRIn High Rate Raster Data Product\n",
       "    source:                        Ka-band radar interferometer\n",
       "    history:                       Wed Jun  5 21:08:21 2024: ncks -d x,271195...\n",
       "    platform:                      SWOT\n",
       "    references:                    V1.2.1\n",
       "    ...                            ...\n",
       "    x_max:                         315500.0\n",
       "    y_min:                         497300.0\n",
       "    y_max:                         643000.0\n",
       "    institution:                   CNES\n",
       "    product_version:               01\n",
       "    NCO:                           netCDF Operators version 5.0.6 (Homepage =...</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-1b5465c7-d00e-47a1-912c-5da5bf5cca27' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1b5465c7-d00e-47a1-912c-5da5bf5cca27' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 75</li><li><span class='xr-has-index'>x</span>: 59</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-999352aa-7afa-4735-805c-ae3bc7bebebf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-999352aa-7afa-4735-805c-ae3bc7bebebf' class='xr-section-summary' >Coordinates: <span>(2)</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 class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.712e+05 2.713e+05 ... 2.77e+05</div><input id='attrs-1098a248-8e5c-4d01-a633-fad210765a62' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1098a248-8e5c-4d01-a633-fad210765a62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8262741c-a473-41f5-86e8-ed5937ded669' class='xr-var-data-in' type='checkbox'><label for='data-8262741c-a473-41f5-86e8-ed5937ded669' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-10000000.0</dd><dt><span>valid_max :</span></dt><dd>10000000.0</dd><dt><span>comment :</span></dt><dd>UTM easting coordinate of the pixel.</dd></dl></div><div class='xr-var-data'><pre>array([271200., 271300., 271400., 271500., 271600., 271700., 271800., 271900.,\n",
       "       272000., 272100., 272200., 272300., 272400., 272500., 272600., 272700.,\n",
       "       272800., 272900., 273000., 273100., 273200., 273300., 273400., 273500.,\n",
       "       273600., 273700., 273800., 273900., 274000., 274100., 274200., 274300.,\n",
       "       274400., 274500., 274600., 274700., 274800., 274900., 275000., 275100.,\n",
       "       275200., 275300., 275400., 275500., 275600., 275700., 275800., 275900.,\n",
       "       276000., 276100., 276200., 276300., 276400., 276500., 276600., 276700.,\n",
       "       276800., 276900., 277000.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.558e+05 5.559e+05 ... 5.632e+05</div><input id='attrs-6a17a81a-2eee-438b-ba17-3c2eadec13cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a17a81a-2eee-438b-ba17-3c2eadec13cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b684f4fd-4695-49d0-97e4-e2f71714b2cb' class='xr-var-data-in' type='checkbox'><label for='data-b684f4fd-4695-49d0-97e4-e2f71714b2cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-20000000.0</dd><dt><span>valid_max :</span></dt><dd>20000000.0</dd><dt><span>comment :</span></dt><dd>UTM northing coordinate of the pixel.</dd></dl></div><div class='xr-var-data'><pre>array([555800., 555900., 556000., 556100., 556200., 556300., 556400., 556500.,\n",
       "       556600., 556700., 556800., 556900., 557000., 557100., 557200., 557300.,\n",
       "       557400., 557500., 557600., 557700., 557800., 557900., 558000., 558100.,\n",
       "       558200., 558300., 558400., 558500., 558600., 558700., 558800., 558900.,\n",
       "       559000., 559100., 559200., 559300., 559400., 559500., 559600., 559700.,\n",
       "       559800., 559900., 560000., 560100., 560200., 560300., 560400., 560500.,\n",
       "       560600., 560700., 560800., 560900., 561000., 561100., 561200., 561300.,\n",
       "       561400., 561500., 561600., 561700., 561800., 561900., 562000., 562100.,\n",
       "       562200., 562300., 562400., 562500., 562600., 562700., 562800., 562900.,\n",
       "       563000., 563100., 563200.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b09719f5-95ca-4ba8-a3fb-bec05e683dba' class='xr-section-summary-in' type='checkbox'  ><label for='section-b09719f5-95ca-4ba8-a3fb-bec05e683dba' class='xr-section-summary' >Data variables: <span>(39)</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>cross_track</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3c83df2b-df7c-4d4b-921f-8a412091ac61' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c83df2b-df7c-4d4b-921f-8a412091ac61' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33a67b27-d480-499b-a26c-3353b1898275' class='xr-var-data-in' type='checkbox'><label for='data-33a67b27-d480-499b-a26c-3353b1898275' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>approximate cross-track location</dd><dt><span>grid_mapping :</span></dt><dd>crs</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>Approximate cross-track location of the pixel.</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-01a4ee2e-d474-49fb-8560-f39bf85b8861' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01a4ee2e-d474-49fb-8560-f39bf85b8861' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75d6a314-977d-4380-82a3-aae1199a8465' class='xr-var-data-in' type='checkbox'><label for='data-75d6a314-977d-4380-82a3-aae1199a8465' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>CRS Definition</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd><dt><span>projected_crs_name :</span></dt><dd>WGS 84 / UTM zone 22N</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>WGS_1984</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>false_easting :</span></dt><dd>500000.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>-51.0</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>scale_factor_at_central_meridian :</span></dt><dd>0.9996</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>crs_wkt :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 22N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-51],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32622&quot;]]</dd><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 22N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-51],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32622&quot;]]</dd><dt><span>comment :</span></dt><dd>UTM zone coordinate reference system.</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dark_frac</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e81af2d4-edf0-4401-a2e8-1523bf712e58' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e81af2d4-edf0-4401-a2e8-1523bf712e58' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ac4fbb0-55c9-4678-8a38-fede9062d7c3' class='xr-var-data-in' type='checkbox'><label for='data-7ac4fbb0-55c9-4678-8a38-fede9062d7c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>fractional area of dark water</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>l</dd><dt><span>valid_min :</span></dt><dd>-1000.0</dd><dt><span>valid_max :</span></dt><dd>10000.0</dd><dt><span>comment :</span></dt><dd>Fraction of pixel water surface area covered by dark water.</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geoid</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9e061341-6eb3-4c6b-a87e-1a75bb14ae92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e061341-6eb3-4c6b-a87e-1a75bb14ae92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-475f9464-c1ce-4846-a091-5191b0a9540b' class='xr-var-data-in' type='checkbox'><label for='data-475f9464-c1ce-4846-a091-5191b0a9540b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-150.0</dd><dt><span>valid_max :</span></dt><dd>150.0</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>[4425 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height_cor_xover</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e5742bd9-9e8d-433c-b732-9821a789b6a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5742bd9-9e8d-433c-b732-9821a789b6a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a24daa13-333d-4e44-9b0b-691eca3476c0' class='xr-var-data-in' type='checkbox'><label for='data-a24daa13-333d-4e44-9b0b-691eca3476c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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 KaRIn crossovers</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-10.0</dd><dt><span>valid_max :</span></dt><dd>10.0</dd><dt><span>comment :</span></dt><dd>Height correction from KaRIn crossover calibration. The correction is applied before geolocation but reported as an equivalent height correction.</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ice_clim_flag</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2d4de6de-2338-4e3e-9f83-d220887dec83' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d4de6de-2338-4e3e-9f83-d220887dec83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d74cf02-06b5-477f-a8c3-c5308c1a4d91' class='xr-var-data-in' type='checkbox'><label for='data-9d74cf02-06b5-477f-a8c3-c5308c1a4d91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>climatological ice cover flag</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>source :</span></dt><dd>UNC</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>flag_meanings :</span></dt><dd>no_ice_cover uncertain_ice_cover full_ice_cover</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>Climatological ice cover flag indicating whether the pixel is ice-covered on the day of the observation based on external climatological information (not the SWOT measurement). Values of 0, 1, and 2 indicate that the pixel is likely not ice covered, may or may not be partially or fully ice covered, and likely fully ice covered, respectively.</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ice_dyn_flag</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-68d509f5-223e-4afb-81ee-e412c821420e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68d509f5-223e-4afb-81ee-e412c821420e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1b2f054-4c24-4be4-8e15-831ab63ea22d' class='xr-var-data-in' type='checkbox'><label for='data-f1b2f054-4c24-4be4-8e15-831ab63ea22d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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 cover flag</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>source :</span></dt><dd>UNC</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>flag_meanings :</span></dt><dd>no_ice_cover partial_ice_cover full_ice_cover</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>Dynamic ice cover flag indicating whether the surface is ice-covered on the day of the observation based on analysis of external satellite optical data.  Values of 0, 1, and 2 indicate that the pixel is not ice covered, partially ice covered, and fully ice covered, respectively.</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>illumination_time</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dc751446-0acd-4a9e-9cc5-975b3f0be659' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc751446-0acd-4a9e-9cc5-975b3f0be659' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2ecec30-961e-447b-b267-2b896862b039' class='xr-var-data-in' type='checkbox'><label for='data-b2ecec30-961e-447b-b267-2b896862b039' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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 of illumination of each pixel (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>[4425 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>illumination_time_tai</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2755f1cd-5d5d-4490-a1dc-05dae78beb2e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2755f1cd-5d5d-4490-a1dc-05dae78beb2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b1e6966-a889-46c4-9511-a3226e9517ed' class='xr-var-data-in' type='checkbox'><label for='data-7b1e6966-a889-46c4-9511-a3226e9517ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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 of illumination of each pixel (TAI)</dd><dt><span>standard_name :</span></dt><dd>time</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 [illumination_time:tai_utc_difference].</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>inc</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8978953c-7371-4d73-954c-a3360f745f23' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8978953c-7371-4d73-954c-a3360f745f23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ca9b107-6e4d-4625-9885-ff464a698e59' class='xr-var-data-in' type='checkbox'><label for='data-3ca9b107-6e4d-4625-9885-ff464a698e59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>incidence angle</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>comment :</span></dt><dd>Incidence angle.</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float32]</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'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2b14124b-41d3-46c8-91bf-ee950793656f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b14124b-41d3-46c8-91bf-ee950793656f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eefd8638-5cc7-464b-8101-aee842b7c2a4' class='xr-var-data-in' type='checkbox'><label for='data-eefd8638-5cc7-464b-8101-aee842b7c2a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-0.5</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>comment :</span></dt><dd>Equivalent vertical correction due to ionosphere delay. The reported water surface elevation, 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 water surface elevation results in the uncorrected pixel height.</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bbb80289-26d8-46ab-87d6-f16de5b80c23' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bbb80289-26d8-46ab-87d6-f16de5b80c23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8e3f69d-75e6-40b0-a36b-7ff162235e35' class='xr-var-data-in' type='checkbox'><label for='data-a8e3f69d-75e6-40b0-a36b-7ff162235e35' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_min :</span></dt><dd>-80.0</dd><dt><span>valid_max :</span></dt><dd>80.0</dd><dt><span>comment :</span></dt><dd>Geodetic latitude [-80,80] (degrees north of equator) of the pixel.</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>layover_impact</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b0964cb7-f808-4d51-8ba5-3f7cdf176683' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0964cb7-f808-4d51-8ba5-3f7cdf176683' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f34be06-8453-4247-8b77-2fe270583173' class='xr-var-data-in' type='checkbox'><label for='data-3f34be06-8453-4247-8b77-2fe270583173' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>layover impact</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-999999.0</dd><dt><span>valid_max :</span></dt><dd>999999.0</dd><dt><span>comment :</span></dt><dd>Estimate of the water surface elevation error caused by layover.</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>load_tide_fes</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e4933fb3-054a-468d-8c3c-7613ac0b58a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4933fb3-054a-468d-8c3c-7613ac0b58a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1ecb3f7-3454-4850-a06c-935e8af9f409' class='xr-var-data-in' type='checkbox'><label for='data-a1ecb3f7-3454-4850-a06c-935e8af9f409' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-0.2</dd><dt><span>valid_max :</span></dt><dd>0.2</dd><dt><span>comment :</span></dt><dd>Geocentric load tide height. The effect of the ocean tide loading of the Earth’s crust.</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>load_tide_got</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b2b0278e-1db0-4841-ba9f-974805f4e361' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2b0278e-1db0-4841-ba9f-974805f4e361' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f26e26c5-4ea6-43c4-8d20-7f8dd406cf5b' class='xr-var-data-in' type='checkbox'><label for='data-f26e26c5-4ea6-43c4-8d20-7f8dd406cf5b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-0.2</dd><dt><span>valid_max :</span></dt><dd>0.2</dd><dt><span>comment :</span></dt><dd>Geocentric load tide height. The effect of the ocean tide loading of the Earth’s crust. This value is reported for reference but is not applied to the reported height.</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9f63363b-957f-4507-8835-861eca125260' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f63363b-957f-4507-8835-861eca125260' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c48cf1ab-66e9-4e96-8968-64fc745bd770' class='xr-var-data-in' type='checkbox'><label for='data-c48cf1ab-66e9-4e96-8968-64fc745bd770' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>180.0</dd><dt><span>comment :</span></dt><dd>Geodetic longitude [-180,180) (east of the Greenwich meridian) of the pixel.</dd></dl></div><div class='xr-var-data'><pre>[4425 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'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0c4b1b2f-8862-48d7-a39a-84c5c0303204' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c4b1b2f-8862-48d7-a39a-84c5c0303204' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e95ab71-1e30-405f-b921-c07de36a02c5' class='xr-var-data-in' type='checkbox'><label for='data-3e95ab71-1e30-405f-b921-c07de36a02c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-3.0</dd><dt><span>valid_max :</span></dt><dd>-1.5</dd><dt><span>comment :</span></dt><dd>Equivalent vertical correction due to dry troposphere delay. The reported water surface elevation, 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 water surface elevation results in the uncorrected pixel height.</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float32]</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'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0b4da799-0233-452c-94b1-56623a348d31' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b4da799-0233-452c-94b1-56623a348d31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64c318f1-8ff4-41f2-9106-32894663ad4e' class='xr-var-data-in' type='checkbox'><label for='data-64c318f1-8ff4-41f2-9106-32894663ad4e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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</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>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>comment :</span></dt><dd>Equivalent vertical correction due to wet troposphere delay. The reported water surface elevation, 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 water surface elevation results in the uncorrected pixel height.</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n_other_pix</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-335261e8-8a6e-4e65-bd83-0ff372274bda' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-335261e8-8a6e-4e65-bd83-0ff372274bda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7a8549d-e83c-411b-a134-5616e7882b25' class='xr-var-data-in' type='checkbox'><label for='data-f7a8549d-e83c-411b-a134-5616e7882b25' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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 other pixels</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>l</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>999999</dd><dt><span>comment :</span></dt><dd>Number of pixel cloud samples used in aggregation of quantities not related to water surface elevation, water surface area, water fraction or sigma0.</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n_sig0_pix</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5d53059e-5df0-46df-a535-e3df1166d518' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d53059e-5df0-46df-a535-e3df1166d518' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0dafd099-e96b-4b9b-8567-55b13bd76431' class='xr-var-data-in' type='checkbox'><label for='data-0dafd099-e96b-4b9b-8567-55b13bd76431' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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 sigma0 pixels</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>l</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>999999</dd><dt><span>comment :</span></dt><dd>Number of pixel cloud samples used in sigma0 aggregation.</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n_water_area_pix</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1cdfd208-3876-433e-8d87-8948d732b1b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1cdfd208-3876-433e-8d87-8948d732b1b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4fcf657f-a24a-4c0f-bdf4-f02b92f83be9' class='xr-var-data-in' type='checkbox'><label for='data-4fcf657f-a24a-4c0f-bdf4-f02b92f83be9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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 water surface area pixels</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>l</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>999999</dd><dt><span>comment :</span></dt><dd>Number of pixel cloud samples used in water surface area and water fraction aggregation.</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n_wse_pix</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f2f848cc-a85f-4462-ac65-3fea57e998c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2f848cc-a85f-4462-ac65-3fea57e998c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f2f6f36-73ff-48b7-a75f-856d3d73442c' class='xr-var-data-in' type='checkbox'><label for='data-5f2f6f36-73ff-48b7-a75f-856d3d73442c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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 water surface elevation pixels</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>l</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>999999</dd><dt><span>comment :</span></dt><dd>Number of pixel cloud samples used in water surface elevation aggregation.</dd></dl></div><div class='xr-var-data'><pre>[4425 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'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a0fe3e31-06f1-4d8f-b738-25d966cb7615' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0fe3e31-06f1-4d8f-b738-25d966cb7615' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78244e77-9e40-45c6-a5f3-9aea59dd705d' class='xr-var-data-in' type='checkbox'><label for='data-78244e77-9e40-45c6-a5f3-9aea59dd705d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-0.2</dd><dt><span>valid_max :</span></dt><dd>0.2</dd><dt><span>comment :</span></dt><dd>Geocentric pole tide height. The total of the contribution from the solid-Earth (body) pole tide height and the load pole tide height (i.e., the effect of the ocean pole tide loading of the Earth’s crust).</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6aa12431-28a2-485d-86b8-71f2353e060a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6aa12431-28a2-485d-86b8-71f2353e060a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85db23cb-553a-4da4-91e5-96656bd93e93' class='xr-var-data-in' type='checkbox'><label for='data-85db23cb-553a-4da4-91e5-96656bd93e93' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sigma0</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>quality_flag :</span></dt><dd>sig0_qual</dd><dt><span>valid_min :</span></dt><dd>-999999.0</dd><dt><span>valid_max :</span></dt><dd>999999.0</dd><dt><span>comment :</span></dt><dd>Normalized radar cross section (sigma0) in real, linear units (not decibels). The value may be negative due to noise subtraction.</dd></dl></div><div class='xr-var-data'><pre>[4425 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'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6e1bd7cf-cd51-4f9a-bea1-67ced6aa0321' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e1bd7cf-cd51-4f9a-bea1-67ced6aa0321' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1df4df22-d24f-41de-b193-144238483b24' class='xr-var-data-in' type='checkbox'><label for='data-1df4df22-d24f-41de-b193-144238483b24' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>1</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.</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_qual</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c1b82c42-ac72-41dc-88dd-d0c85757d31c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c1b82c42-ac72-41dc-88dd-d0c85757d31c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9af73673-7a0e-48f8-9aed-364d442fefa1' class='xr-var-data-in' type='checkbox'><label for='data-9af73673-7a0e-48f8-9aed-364d442fefa1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>summary quality indicator for the sigma0</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>flag_meanings :</span></dt><dd>good suspect degraded bad</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>Summary quality indicator for the sigma0 quantities. A value of 0 indicates a nominal measurement, 1 indicates a suspect measurement, 2 indicates a degraded measurement, and 3 indicates a bad measurement.</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_qual_bitwise</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f67e7478-9121-4334-8ce3-5a56f9e62b17' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f67e7478-9121-4334-8ce3-5a56f9e62b17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d18c2b3-1168-4d31-a8d3-c8a28d1694f9' class='xr-var-data-in' type='checkbox'><label for='data-5d18c2b3-1168-4d31-a8d3-c8a28d1694f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bitwise quality indicator for the sigma0</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>flag_meanings :</span></dt><dd>sig0_qual_suspect classification_qual_suspect geolocation_qual_suspect large_uncert_suspect bright_land low_coherence_water_suspect few_pixels far_range_suspect near_range_suspect sig0_qual_degraded classification_qual_degraded geolocation_qual_degraded value_bad outside_data_window no_pixels outside_scene_bounds inner_swath missing_karin_data</dd><dt><span>flag_masks :</span></dt><dd>[         1          2          4         32        128        256\n",
       "       4096       8192      16384     131072     262144     524288\n",
       "   16777216   67108864  268435456  536870912 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>4111364519</dd><dt><span>comment :</span></dt><dd>Bitwise quality indicator for the sigma0 quantities. If this word is interpreted as an unsigned integer, a value of 0 indicates good data, positive values less than 32768 represent suspect data, values greater than or equal to 32768 but less than 8388608 represent degraded data, and values greater than or equal to 8388608 represent bad data.</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_uncert</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-220b826d-65d4-4b3c-a66d-c189b465500b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-220b826d-65d4-4b3c-a66d-c189b465500b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34e03241-0340-4666-960e-3b3232bfe500' class='xr-var-data-in' type='checkbox'><label for='data-34e03241-0340-4666-960e-3b3232bfe500' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>uncertainty in sigma0</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_min :</span></dt><dd>-999999.0</dd><dt><span>valid_max :</span></dt><dd>999999.0</dd><dt><span>comment :</span></dt><dd>1-sigma uncertainty in sigma0. The value is provided in linear units. This value is a one-sigma additive (not multiplicative) uncertainty term, which can be added to or subtracted from sigma0.</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>solid_earth_tide</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7d4b3b23-f018-4982-ac54-baec1b929686' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d4b3b23-f018-4982-ac54-baec1b929686' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-afb63a9b-20b3-436b-b571-1b824a9ca418' class='xr-var-data-in' type='checkbox'><label for='data-afb63a9b-20b3-436b-b571-1b824a9ca418' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd><dt><span>valid_max :</span></dt><dd>1.0</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>[4425 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_area</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f81e73ee-b85f-44dc-94a3-0d7717d7dc31' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f81e73ee-b85f-44dc-94a3-0d7717d7dc31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3789da07-4695-4d4b-aa18-06551fb67d18' class='xr-var-data-in' type='checkbox'><label for='data-3789da07-4695-4d4b-aa18-06551fb67d18' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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 surface area</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>m^2</dd><dt><span>quality_flag :</span></dt><dd>water_area_qual</dd><dt><span>valid_min :</span></dt><dd>-2000000.0</dd><dt><span>valid_max :</span></dt><dd>2000000000.0</dd><dt><span>comment :</span></dt><dd>Surface area of the water pixels.</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_area_qual</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-129ccf09-e2cf-40e7-ad0e-b605282ec421' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-129ccf09-e2cf-40e7-ad0e-b605282ec421' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a94c57c-cf88-4be0-be1f-7c2a7f0ea87b' class='xr-var-data-in' type='checkbox'><label for='data-9a94c57c-cf88-4be0-be1f-7c2a7f0ea87b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>summary quality indicator for the water surface area</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>flag_meanings :</span></dt><dd>good suspect degraded bad</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>Summary quality indicator for the water surface area and water fraction quantities. A value of 0 indicates a nominal measurement, 1 indicates a suspect measurement, 2 indicates a degraded measurement, and 3 indicates a bad measurement.</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_area_qual_bitwise</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-35df292b-d516-4cc9-9d23-ed40057e4ed2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-35df292b-d516-4cc9-9d23-ed40057e4ed2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5432a87-8536-4669-8c3b-601d1b75573c' class='xr-var-data-in' type='checkbox'><label for='data-c5432a87-8536-4669-8c3b-601d1b75573c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bitwise quality indicator for the water surface area</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>flag_meanings :</span></dt><dd>classification_qual_suspect geolocation_qual_suspect water_fraction_suspect large_uncert_suspect bright_land low_coherence_water_suspect few_pixels far_range_suspect near_range_suspect classification_qual_degraded geolocation_qual_degraded value_bad outside_data_window no_pixels outside_scene_bounds inner_swath missing_karin_data</dd><dt><span>flag_masks :</span></dt><dd>[         2          4          8         32        128        256\n",
       "       4096       8192      16384     262144     524288   16777216\n",
       "   67108864  268435456  536870912 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>4111233454</dd><dt><span>comment :</span></dt><dd>Bitwise quality indicator for the water surface area and water fraction quantities. If this word is interpreted as an unsigned integer, a value of 0 indicates good data, positive values less than 32768 represent suspect data, values greater than or equal to 32768 but less than 8388608 represent degraded data, and values greater than or equal to 8388608 represent bad data.</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_area_uncert</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2b0eb535-8c15-45dc-92d5-3913c2e12969' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b0eb535-8c15-45dc-92d5-3913c2e12969' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b33f97f-ca62-4877-8fd5-260f69ff9307' class='xr-var-data-in' type='checkbox'><label for='data-1b33f97f-ca62-4877-8fd5-260f69ff9307' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>uncertainty in the water surface area</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>m^2</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>valid_max :</span></dt><dd>2000000000.0</dd><dt><span>comment :</span></dt><dd>1-sigma uncertainty in the water surface area.</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_frac</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-efa89a6b-21c9-4941-8be7-76a2e9307862' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-efa89a6b-21c9-4941-8be7-76a2e9307862' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2da854dc-7ead-4336-aab5-1348a09c4ead' class='xr-var-data-in' type='checkbox'><label for='data-2da854dc-7ead-4336-aab5-1348a09c4ead' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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 fraction</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>quality_flag :</span></dt><dd>water_area_qual</dd><dt><span>valid_min :</span></dt><dd>-1000.0</dd><dt><span>valid_max :</span></dt><dd>10000.0</dd><dt><span>comment :</span></dt><dd>Fraction of the pixel that is water.</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_frac_uncert</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8bcd0e77-0438-4ffa-8a62-93cdad71ae37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8bcd0e77-0438-4ffa-8a62-93cdad71ae37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d38e626e-a4a0-49eb-b118-3f07abe9635e' class='xr-var-data-in' type='checkbox'><label for='data-d38e626e-a4a0-49eb-b118-3f07abe9635e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>uncertainty in the water fraction</dd><dt><span>grid_mapping :</span></dt><dd>crs</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>999999.0</dd><dt><span>comment :</span></dt><dd>1-sigma uncertainty in the water fraction.</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wse</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-10b76a59-14a4-456a-805e-1feda5bb5846' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10b76a59-14a4-456a-805e-1feda5bb5846' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9854b9f-3d4a-4e95-8c41-90aa89f59c85' class='xr-var-data-in' type='checkbox'><label for='data-c9854b9f-3d4a-4e95-8c41-90aa89f59c85' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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 surface elevation above geoid</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>quality_flag :</span></dt><dd>wse_qual</dd><dt><span>valid_min :</span></dt><dd>-1500.0</dd><dt><span>valid_max :</span></dt><dd>15000.0</dd><dt><span>comment :</span></dt><dd>Water surface elevation of the pixel above the geoid and after using models to subtract the effects of tides (solid_earth_tide, load_tide_fes, pole_tide).</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wse_qual</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-992228ee-081b-431e-8915-3fd92a0f5c04' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-992228ee-081b-431e-8915-3fd92a0f5c04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12178cd6-6501-4f2a-a9f4-922d3157cdff' class='xr-var-data-in' type='checkbox'><label for='data-12178cd6-6501-4f2a-a9f4-922d3157cdff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>summary quality indicator for the water surface elevation</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>flag_meanings :</span></dt><dd>good suspect degraded bad</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>Summary quality indicator for the water surface elevation quantities. A value of 0 indicates a nominal measurement, 1 indicates a suspect measurement, 2 indicates a degraded measurement, and 3 indicates a bad measurement.</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wse_qual_bitwise</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a2c70bd0-d43b-42b8-970b-73283e37e751' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2c70bd0-d43b-42b8-970b-73283e37e751' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d18a3d61-9acd-4b8d-839c-f4f2c25fc9f3' class='xr-var-data-in' type='checkbox'><label for='data-d18a3d61-9acd-4b8d-839c-f4f2c25fc9f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bitwise quality indicator for the water surface elevation</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>flag_meanings :</span></dt><dd>classification_qual_suspect geolocation_qual_suspect large_uncert_suspect bright_land few_pixels far_range_suspect near_range_suspect classification_qual_degraded geolocation_qual_degraded dark_water_degraded low_coherence_water_degraded value_bad outside_data_window no_pixels outside_scene_bounds inner_swath missing_karin_data</dd><dt><span>flag_masks :</span></dt><dd>[         2          4         32        128       4096       8192\n",
       "      16384     262144     524288    1048576    2097152   16777216\n",
       "   67108864  268435456  536870912 1073741824 2147483648]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>4114378918</dd><dt><span>comment :</span></dt><dd>Bitwise quality indicator for the water surface elevation quantities. If this word is interpreted as an unsigned integer, a value of 0 indicates good data, positive values less than 32768 represent suspect data, values greater than or equal to 32768 but less than 8388608 represent degraded data, and values greater than or equal to 8388608 represent bad data.</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wse_uncert</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f287ca9f-e312-4e67-8e1f-6750beadd8da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f287ca9f-e312-4e67-8e1f-6750beadd8da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-046b093b-6adc-4c01-b1e4-b0611f0a3437' class='xr-var-data-in' type='checkbox'><label for='data-046b093b-6adc-4c01-b1e4-b0611f0a3437' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>uncertainty in the water surface elevation</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>valid_max :</span></dt><dd>999999.0</dd><dt><span>comment :</span></dt><dd>1-sigma uncertainty in the water surface elevation.</dd></dl></div><div class='xr-var-data'><pre>[4425 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1a3aa123-c7e1-4eca-bd53-b69bc9e04270' class='xr-section-summary-in' type='checkbox'  ><label for='section-1a3aa123-c7e1-4eca-bd53-b69bc9e04270' class='xr-section-summary' >Indexes: <span>(2)</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-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-236ca902-5a8a-4a61-ad69-a330801a5b21' class='xr-index-data-in' type='checkbox'/><label for='index-236ca902-5a8a-4a61-ad69-a330801a5b21' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([271200.0, 271300.0, 271400.0, 271500.0, 271600.0, 271700.0, 271800.0,\n",
       "       271900.0, 272000.0, 272100.0, 272200.0, 272300.0, 272400.0, 272500.0,\n",
       "       272600.0, 272700.0, 272800.0, 272900.0, 273000.0, 273100.0, 273200.0,\n",
       "       273300.0, 273400.0, 273500.0, 273600.0, 273700.0, 273800.0, 273900.0,\n",
       "       274000.0, 274100.0, 274200.0, 274300.0, 274400.0, 274500.0, 274600.0,\n",
       "       274700.0, 274800.0, 274900.0, 275000.0, 275100.0, 275200.0, 275300.0,\n",
       "       275400.0, 275500.0, 275600.0, 275700.0, 275800.0, 275900.0, 276000.0,\n",
       "       276100.0, 276200.0, 276300.0, 276400.0, 276500.0, 276600.0, 276700.0,\n",
       "       276800.0, 276900.0, 277000.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-001f9a51-a645-4539-9187-72340b5538ac' class='xr-index-data-in' type='checkbox'/><label for='index-001f9a51-a645-4539-9187-72340b5538ac' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([555800.0, 555900.0, 556000.0, 556100.0, 556200.0, 556300.0, 556400.0,\n",
       "       556500.0, 556600.0, 556700.0, 556800.0, 556900.0, 557000.0, 557100.0,\n",
       "       557200.0, 557300.0, 557400.0, 557500.0, 557600.0, 557700.0, 557800.0,\n",
       "       557900.0, 558000.0, 558100.0, 558200.0, 558300.0, 558400.0, 558500.0,\n",
       "       558600.0, 558700.0, 558800.0, 558900.0, 559000.0, 559100.0, 559200.0,\n",
       "       559300.0, 559400.0, 559500.0, 559600.0, 559700.0, 559800.0, 559900.0,\n",
       "       560000.0, 560100.0, 560200.0, 560300.0, 560400.0, 560500.0, 560600.0,\n",
       "       560700.0, 560800.0, 560900.0, 561000.0, 561100.0, 561200.0, 561300.0,\n",
       "       561400.0, 561500.0, 561600.0, 561700.0, 561800.0, 561900.0, 562000.0,\n",
       "       562100.0, 562200.0, 562300.0, 562400.0, 562500.0, 562600.0, 562700.0,\n",
       "       562800.0, 562900.0, 563000.0, 563100.0, 563200.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f9ee2da0-f702-4c3f-8449-5aaf1484c59b' class='xr-section-summary-in' type='checkbox'  ><label for='section-f9ee2da0-f702-4c3f-8449-5aaf1484c59b' class='xr-section-summary' >Attributes: <span>(50)</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 KaRIn High Rate Raster Data Product</dd><dt><span>source :</span></dt><dd>Ka-band radar interferometer</dd><dt><span>history :</span></dt><dd>Wed Jun  5 21:08:21 2024: ncks -d x,271195.60869861,277033.59264033 -d y,555722.95331625,563264.6259945 SWOT_L2_HR_Raster_100m_UTM22N_N_x_x_x_015_033_082F_20240509T115817_20240509T115835_PIC0_01/SWOT_L2_HR_Raster_100m_UTM22N_N_x_x_x_015_033_082F_20240509T115817_20240509T115835_PIC0_01.nc SWOT_L2_HR_Raster_100m_UTM22N_N_x_x_x_015_033_082F_20240509T115817_20240509T115835_PIC0_01/SWOT_L2_HR_Raster_100m_UTM22N_N_x_x_x_015_033_082F_20240509T115817_20240509T115835_PIC0_01_extract.nc\n",
       "2024-05-13T08:09:02Z : Creation</dd><dt><span>platform :</span></dt><dd>SWOT</dd><dt><span>references :</span></dt><dd>V1.2.1</dd><dt><span>reference_document :</span></dt><dd>JPL D-56416 - Revision C - December 8, 2023</dd><dt><span>contact :</span></dt><dd>podaac@podaac.jpl.nasa.gov</dd><dt><span>cycle_number :</span></dt><dd>15</dd><dt><span>pass_number :</span></dt><dd>33</dd><dt><span>scene_number :</span></dt><dd>82</dd><dt><span>tile_numbers :</span></dt><dd>[162 163 164 162 163 164]</dd><dt><span>tile_names :</span></dt><dd>033_162L, 033_163L, 033_164L, 033_162R, 033_163R, 033_164R</dd><dt><span>tile_polarizations :</span></dt><dd>V, V, V, H, H, H</dd><dt><span>coordinate_reference_system :</span></dt><dd>Universal Transverse Mercator</dd><dt><span>resolution :</span></dt><dd>100.0</dd><dt><span>short_name :</span></dt><dd>L2_HR_Raster</dd><dt><span>descriptor_string :</span></dt><dd>100m_UTM22N_N_x_x_x</dd><dt><span>crid :</span></dt><dd>PIC0</dd><dt><span>pge_name :</span></dt><dd>PGE_L2_HR_RASTER</dd><dt><span>pge_version :</span></dt><dd>5.1.1</dd><dt><span>time_granule_start :</span></dt><dd>2024-05-09T11:58:17.613037Z</dd><dt><span>time_granule_end :</span></dt><dd>2024-05-09T11:58:35.253076Z</dd><dt><span>time_coverage_start :</span></dt><dd>2024-05-09T11:58:18.154154Z</dd><dt><span>time_coverage_end :</span></dt><dd>2024-05-09T11:58:35.253076Z</dd><dt><span>geospatial_lon_min :</span></dt><dd>-53.97691730775847</dd><dt><span>geospatial_lon_max :</span></dt><dd>-52.666055746109436</dd><dt><span>geospatial_lat_min :</span></dt><dd>4.496565968467814</dd><dt><span>geospatial_lat_max :</span></dt><dd>5.810607648343843</dd><dt><span>left_first_longitude :</span></dt><dd>-53.97691730775848</dd><dt><span>left_first_latitude :</span></dt><dd>4.665293300682538</dd><dt><span>left_last_longitude :</span></dt><dd>-53.80919553846779</dd><dt><span>left_last_latitude :</span></dt><dd>5.810607648343843</dd><dt><span>right_first_longitude :</span></dt><dd>-52.8357334405927</dd><dt><span>right_first_latitude :</span></dt><dd>4.496565968467814</dd><dt><span>right_last_longitude :</span></dt><dd>-52.66605574610944</dd><dt><span>right_last_latitude :</span></dt><dd>5.6412811445369755</dd><dt><span>xref_l2_hr_pixc_files :</span></dt><dd>SWOT_L2_HR_PIXC_015_033_162L_20240509T115807_20240509T115818_PIC0_01.nc, SWOT_L2_HR_PIXC_015_033_163L_20240509T115817_20240509T115828_PIC0_01.nc, SWOT_L2_HR_PIXC_015_033_164L_20240509T115827_20240509T115835_PIC0_01.nc, SWOT_L2_HR_PIXC_015_033_162R_20240509T115807_20240509T115818_PIC0_01.nc, SWOT_L2_HR_PIXC_015_033_163R_20240509T115817_20240509T115828_PIC0_01.nc, SWOT_L2_HR_PIXC_015_033_164R_20240509T115827_20240509T115835_PIC0_01.nc</dd><dt><span>xref_l2_hr_pixcvec_files :</span></dt><dd>SWOT_L2_HR_PIXCVec_015_033_162L_20240509T115807_20240509T115818_PIC0_01.nc, SWOT_L2_HR_PIXCVec_015_033_163L_20240509T115817_20240509T115828_PIC0_01.nc, SWOT_L2_HR_PIXCVec_015_033_164L_20240509T115827_20240509T115835_PIC0_01.nc, SWOT_L2_HR_PIXCVec_015_033_162R_20240509T115807_20240509T115818_PIC0_01.nc, SWOT_L2_HR_PIXCVec_015_033_163R_20240509T115817_20240509T115828_PIC0_01.nc, SWOT_L2_HR_PIXCVec_015_033_164R_20240509T115827_20240509T115835_PIC0_01.nc</dd><dt><span>xref_param_l2_hr_raster_file :</span></dt><dd>SWOT_Param_L2_HR_Raster_20000101T000000_21000101T000000_20230817T100000_v302.rdf</dd><dt><span>xref_reforbittrack_files :</span></dt><dd>SWOT_RefOrbitTrackTileBoundary_Nom_20000101T000000_21000101T000000_20200617T193054_v101.txt, SWOT_RefOrbitTrack125mPass1_Nom_20000101T000000_21000101T000000_20200617T193054_v101.txt, SWOT_RefOrbitTrack125mPass2_Nom_20000101T000000_21000101T000000_20200617T193054_v101.txt</dd><dt><span>utm_zone_num :</span></dt><dd>22</dd><dt><span>mgrs_latitude_band :</span></dt><dd>N</dd><dt><span>x_min :</span></dt><dd>169700.0</dd><dt><span>x_max :</span></dt><dd>315500.0</dd><dt><span>y_min :</span></dt><dd>497300.0</dd><dt><span>y_max :</span></dt><dd>643000.0</dd><dt><span>institution :</span></dt><dd>CNES</dd><dt><span>product_version :</span></dt><dd>01</dd><dt><span>NCO :</span></dt><dd>netCDF Operators version 5.0.6 (Homepage = http://nco.sf.net, Code = http://github.com/nco/nco)</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                  (y: 75, x: 59)\n",
       "Coordinates:\n",
       "  * x                        (x) float64 2.712e+05 2.713e+05 ... 2.77e+05\n",
       "  * y                        (y) float64 5.558e+05 5.559e+05 ... 5.632e+05\n",
       "Data variables: (12/39)\n",
       "    cross_track              (y, x) float32 ...\n",
       "    crs                      object ...\n",
       "    dark_frac                (y, x) float32 ...\n",
       "    geoid                    (y, x) float32 ...\n",
       "    height_cor_xover         (y, x) float32 ...\n",
       "    ice_clim_flag            (y, x) float32 ...\n",
       "    ...                       ...\n",
       "    water_frac               (y, x) float32 ...\n",
       "    water_frac_uncert        (y, x) float32 ...\n",
       "    wse                      (y, x) float32 ...\n",
       "    wse_qual                 (y, x) float32 ...\n",
       "    wse_qual_bitwise         (y, x) float64 ...\n",
       "    wse_uncert               (y, x) float32 ...\n",
       "Attributes: (12/50)\n",
       "    Conventions:                   CF-1.7\n",
       "    title:                         Level 2 KaRIn High Rate Raster Data Product\n",
       "    source:                        Ka-band radar interferometer\n",
       "    history:                       Wed Jun  5 21:08:21 2024: ncks -d x,271195...\n",
       "    platform:                      SWOT\n",
       "    references:                    V1.2.1\n",
       "    ...                            ...\n",
       "    x_max:                         315500.0\n",
       "    y_min:                         497300.0\n",
       "    y_max:                         643000.0\n",
       "    institution:                   CNES\n",
       "    product_version:               01\n",
       "    NCO:                           netCDF Operators version 5.0.6 (Homepage =..."
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir_swot = \"../docs/data/swot/\"\n",
    "file_swot_raster100 = os.path.join(\n",
    "    dir_swot,\n",
    "    \"SWOT_L2_HR_Raster_100m\",\n",
    "    \"SWOT_L2_HR_Raster_100m_UTM22N_N_x_x_x_015_033_082F_20240509T115817_20240509T115835_PIC0_01_extract.nc\",\n",
    ")\n",
    "# read data with xarray\n",
    "xr_swot_raster100 = xr.open_dataset(file_swot_raster100)\n",
    "# force xarray to acknowledge the CRS \n",
    "xr_swot_raster100.rio.set_crs(CRS.from_user_input(xr_swot_raster100.crs.projected_crs_name).to_epsg(), inplace=True)\n",
    "\n",
    "xr_swot_raster100"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Should you want to quickly see what the data looks like, just use the following line. Lower in the notebook we will try to have something fancier."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7fb7e41fe350>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xr_swot_raster100.wse.plot(cmap='cividis')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. Plot data on maps with cartopy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_160234/2149712467.py:21: MatplotlibDeprecationWarning: Getting the array from a PolyQuadMesh will return the full array in the future (uncompressed). To get this behavior now set the PolyQuadMesh with a 2D array .set_array(data2d).\n",
      "  plt.colorbar(\n",
      "/tmp/ipykernel_160234/2149712467.py:21: MatplotlibDeprecationWarning: Getting the array from a PolyQuadMesh will return the full array in the future (uncompressed). To get this behavior now set the PolyQuadMesh with a 2D array .set_array(data2d).\n",
      "  plt.colorbar(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<GeoAxes: >"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x900 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import cartopy.crs as ccrs\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "\n",
    "def customize_map(ax, cb, label, crs=ccrs.PlateCarree()):\n",
    "    \"\"\"This function customizes a map with projection and returns the plt.axes instance\"\"\"\n",
    "\n",
    "    ax.gridlines(\n",
    "        crs=crs,\n",
    "        draw_labels=True,\n",
    "        color='.7',\n",
    "        alpha=.6,\n",
    "        linewidth=.4,\n",
    "        linestyle='-',\n",
    "        )\n",
    "    \n",
    "    # add a background_map (default, local image, WMTS...read the doc)\n",
    "    # ax.stock_img()\n",
    "\n",
    "    # add a labeled colorbar\n",
    "    plt.colorbar(\n",
    "        cb,\n",
    "        ax=ax,\n",
    "        orientation='horizontal',\n",
    "        shrink=0.6,\n",
    "        pad=.05,\n",
    "        aspect=40,\n",
    "        label=label)\n",
    "\n",
    "    return ax\n",
    "\n",
    "# Create meshgrid from data\n",
    "#x, y = np.meshgrid(xr_swot_raster100.longitude, xr_swot_raster100.latitude) \n",
    "\n",
    "# 0. Create Figure and Axes\n",
    "crs = ccrs.PlateCarree()\n",
    "fig, axs = plt.subplots(\n",
    "    nrows=1,ncols=2,\n",
    "    subplot_kw={'projection': crs},\n",
    "    figsize=(16,9),\n",
    "    frameon=True,\n",
    "    )\n",
    "\n",
    "# 1. plot Water Surface Elevation on map\n",
    "# plot data on the map with pcolor function\n",
    "cb0 = axs[0].pcolor(\n",
    "    xr_swot_raster100.longitude,\n",
    "    xr_swot_raster100.latitude,\n",
    "    xr_swot_raster100.wse,\n",
    "    transform=crs,\n",
    "    cmap='cividis',\n",
    "    )\n",
    "# customize plot with pre-defined function\n",
    "customize_map(axs[0], cb0, \"Water Surface Elevation (m)\")\n",
    "\n",
    "# 2. plot Water Fraction on map\n",
    "cb1 = axs[1].pcolor(\n",
    "    xr_swot_raster100.longitude,\n",
    "    xr_swot_raster100.latitude,\n",
    "    xr_swot_raster100.water_frac*100,\n",
    "    transform=crs,\n",
    "    cmap='BuPu',\n",
    "    vmin=0,\n",
    "    vmax=100,\n",
    "    )\n",
    "# customize plot with pre-defined function\n",
    "customize_map(axs[1], cb1, \"Water Fraction (%)\")\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.10.6 ('geo-env')",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
  },
  "vscode": {
   "interpreter": {
    "hash": "c53c0f632c0bd5c80f0fc28f8860901a2b42413fffd8e5b69bb54373659a6ea7"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}