2021-01-13-AA-fail-plot-data-location-swot-simulator-one-time.ipynb

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   "source": [
    "import xarray as xr\n",
    "import numpy as np\n",
    "import glob\n",
    "import os\n",
    "import dask\n",
    "\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.feature as cfeature\n",
    "from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER\n",
    "import matplotlib.patches as mpatches\n",
    "import matplotlib.pyplot as plt\n",
    "import cartopy\n",
    "cartopy.config['pre_existing_data_dir']  = '/home/ad/alberta/git/cartopy_data' \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "phase='science_phase' # calval_phase or science_phase\n",
    "simu='eNATL60-BLB002' # or eNATL60-BLBT02\n",
    "data='karin' # or nadir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "latminN=30\n",
    "latmaxN=40\n",
    "lonminN=-55\n",
    "lonmaxN=-40\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "latminM=35.1\n",
    "latmaxM=44.4\n",
    "lonminM=-5.7\n",
    "lonmaxM=9.6\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "tdir='/work/ALT/swot/aval/wisa/tmp/inland_cleaning/swot_simulator_'+phase+'/'+simu+'-SSH-1h/'+data\n",
    "files=glob.glob(tdir+'/2009/*nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds=xr.open_mfdataset(files,concat_dim='num_lines',combine='nested')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
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       "    err_phase              (num_lines, num_pixels) float64 dask.array&lt;chunksize=(9866, 71), meta=np.ndarray&gt;\n",
       "    err_karin              (num_lines, num_pixels) float64 dask.array&lt;chunksize=(9866, 71), meta=np.ndarray&gt;\n",
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       "Attributes:\n",
       "    Conventions:                        CF-1.7\n",
       "    title:                              Level 2 Low Rate Sea Surface Height D...\n",
       "    institution:                        CNES/JPL\n",
       "    source:                             Simulate product\n",
       "    history:                            2020-07-25 12:59:08 : Creation\n",
       "    platform:                           SWOT\n",
       "    references:                         Gaultier, L., C. Ubelmann, and L.-L. ...\n",
       "    reference_document:                 D-56407_SWOT_Product_Description_L2_L...\n",
       "    contact:                            CNES aviso@altimetry.fr, JPL podaac@p...\n",
       "    cycle_number:                       7\n",
       "    pass_number:                        414\n",
       "    time_coverage_start:                2009-11-16T23:37:13.365167Z\n",
       "    time_coverage_end:                  2009-11-17T00:28:39.792495Z\n",
       "    time_coverage_duration:             P51M26S\n",
       "    time_coverage_resolution:           P1S\n",
       "    geospatial_lon_min:                 0.0008191316746889289\n",
       "    geospatial_lon_max:                 359.9987227733048\n",
       "    geospatial_lat_min:                 -78.29163662969168\n",
       "    geospatial_lat_max:                 78.29196356426404\n",
       "    left_first_longitude:               198.50888524328604\n",
       "    left_first_latitude:                77.03291420683716\n",
       "    left_last_longitude:                5.463758936048676\n",
       "    left_last_latitude:                 -78.29163662969168\n",
       "    right_first_longitude:              198.5156550831449\n",
       "    right_first_latitude:               78.29196356426404\n",
       "    right_last_longitude:               5.464618840547371\n",
       "    right_last_latitude:                -77.03258645681888\n",
       "    wavelength:                         0.008385803020979\n",
       "    orbit_solution:                     POE\n",
       "    xref_input_l1b_lr_intf_file:        N/A\n",
       "    xref_input_static_karin_cal_file:   N/A\n",
       "    xref_input_static_geophys_files:    N/A\n",
       "    xref_input_dynamic_geophys_files:   N/A\n",
       "    xref_input_l1_nalt_gdr_files:       N/A\n",
       "    xref_input_int_lr_xover_cal_files:  N/A\n",
       "    xref_input_l2_rad_gdr_files:        N/A\n",
       "    ellipsoid_semi_major_axis:          1.0\n",
       "    ellipsoid_flattening:               0.0</pre><div class='xr-wrap' hidden><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-313d74f8-c66b-4aa7-ab73-09e898f40324' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-313d74f8-c66b-4aa7-ab73-09e898f40324' 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>: 20008635</li><li><span>num_pixels</span>: 71</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9d03c2c1-6873-4490-83cd-2ff172077ad2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9d03c2c1-6873-4490-83cd-2ff172077ad2' 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>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, 71), meta=np.ndarray&gt;</div><input id='attrs-09819521-d1f2-40ec-af46-c1b61885bdf3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-09819521-d1f2-40ec-af46-c1b61885bdf3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d73a4217-17f5-43c7-bcc8-f9d4c20acaf6' class='xr-var-data-in' type='checkbox'><label for='data-d73a4217-17f5-43c7-bcc8-f9d4c20acaf6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 11.36 GB </td> <td> 5.61 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (20008635, 71) </td> <td> (9869, 71) </td></tr>\n",
       "    <tr><th> Count </th><td> 6084 Tasks </td><td> 2028 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float64 </td><td> numpy.ndarray </td></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>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, 71), meta=np.ndarray&gt;</div><input id='attrs-9699f84e-fc77-4fcf-88bb-966c4712d30a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9699f84e-fc77-4fcf-88bb-966c4712d30a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed116668-8901-4043-ab26-4cf5d8cdbb81' class='xr-var-data-in' type='checkbox'><label for='data-ed116668-8901-4043-ab26-4cf5d8cdbb81' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 11.36 GB </td> <td> 5.61 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (20008635, 71) </td> <td> (9869, 71) </td></tr>\n",
       "    <tr><th> Count </th><td> 6084 Tasks </td><td> 2028 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float64 </td><td> numpy.ndarray </td></tr>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-6e7b001c-5c0b-4e96-aee7-60c6106c8d44' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6e7b001c-5c0b-4e96-aee7-60c6106c8d44' class='xr-section-summary' >Data variables: <span>(9)</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-9e1492f8-9ac1-4f79-b22a-5f2ec6d538a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e1492f8-9ac1-4f79-b22a-5f2ec6d538a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-479a8e13-03e6-41ed-bc79-56b3b5f665b7' class='xr-var-data-in' type='checkbox'><label for='data-479a8e13-03e6-41ed-bc79-56b3b5f665b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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>[Value of TAI-UTC at time of first record]</dd><dt><span>leap_second :</span></dt><dd>YYYY-MM-DD hh:mm:ss</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",
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       "  <tbody>\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>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, 71), meta=np.ndarray&gt;</div><input id='attrs-2320daba-a269-4b16-a702-842fe4afc04f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2320daba-a269-4b16-a702-842fe4afc04f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5149ed1-6941-4d58-9360-70c0819fcaed' class='xr-var-data-in' type='checkbox'><label for='data-d5149ed1-6941-4d58-9360-70c0819fcaed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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>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><dt><span>post_process :</span></dt><dd>land masked used bilinear mask</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>err_wet_troposphere</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, 71), meta=np.ndarray&gt;</div><input id='attrs-fe2a6b51-bbb6-41e7-82e1-f5ad0e3f3902' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe2a6b51-bbb6-41e7-82e1-f5ad0e3f3902' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-145dbc52-5412-42aa-b348-fbbb7f5379cc' class='xr-var-data-in' type='checkbox'><label for='data-145dbc52-5412-42aa-b348-fbbb7f5379cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Error due to wet troposphere path delay</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>post_process :</span></dt><dd>land masked used bilinear mask</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
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       "  <thead>\n",
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       "    <tr><th> Count </th><td> 6084 Tasks </td><td> 2028 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float64 </td><td> numpy.ndarray </td></tr>\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_true</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, 71), meta=np.ndarray&gt;</div><input id='attrs-246dcdd5-dccb-4124-9d21-f22f513beb20' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-246dcdd5-dccb-4124-9d21-f22f513beb20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f734b09a-4f60-4eba-9f0c-6c05dede3acc' class='xr-var-data-in' type='checkbox'><label for='data-f734b09a-4f60-4eba-9f0c-6c05dede3acc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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>valid_min :</span></dt><dd>-15000000</dd><dt><span>valid_max :</span></dt><dd>150000000</dd><dt><span>comment :</span></dt><dd>Height of the sea surface free of measurement errors.</dd><dt><span>post_process :</span></dt><dd>land masked used CPUDispatcher(&lt;function mask_bilinear at 0x7f87f3abc200&gt;) mask and nanmask from &#x27;ssh_karin&#x27; variable</dd></dl></div><div class='xr-var-data'><table>\n",
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       "    <tr><th> Type </th><td> float64 </td><td> numpy.ndarray </td></tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err_timing</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, 71), meta=np.ndarray&gt;</div><input id='attrs-c3a7e120-d900-4727-9e32-daac07a40a8a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3a7e120-d900-4727-9e32-daac07a40a8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac564530-79a4-4c3e-8336-4c0639689d78' class='xr-var-data-in' type='checkbox'><label for='data-ac564530-79a4-4c3e-8336-4c0639689d78' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Timing error</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>post_process :</span></dt><dd>land masked used bilinear mask</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</td>\n",
       "</tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err_baseline_dilation</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, 71), meta=np.ndarray&gt;</div><input id='attrs-247fb0ce-0d9b-40b0-8ebc-c2e737e75fa3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-247fb0ce-0d9b-40b0-8ebc-c2e737e75fa3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-562ed4e6-0cec-4172-acfc-f52ab2bc3fea' class='xr-var-data-in' type='checkbox'><label for='data-562ed4e6-0cec-4172-acfc-f52ab2bc3fea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Error due to baseline mast dilation</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>post_process :</span></dt><dd>land masked used bilinear mask</dd></dl></div><div class='xr-var-data'><table>\n",
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       "<td>\n",
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       "  <tbody>\n",
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       "    <tr><th> Shape </th><td> (20008635, 71) </td> <td> (9869, 71) </td></tr>\n",
       "    <tr><th> Count </th><td> 6084 Tasks </td><td> 2028 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float64 </td><td> numpy.ndarray </td></tr>\n",
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       "</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>err_phase</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, 71), meta=np.ndarray&gt;</div><input id='attrs-2b81ca6e-dabb-4b97-af01-4cd49b3cc72e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b81ca6e-dabb-4b97-af01-4cd49b3cc72e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ee333bc-44da-46c6-bd66-1b0d9f12d6f7' class='xr-var-data-in' type='checkbox'><label for='data-2ee333bc-44da-46c6-bd66-1b0d9f12d6f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Error due to phase</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>post_process :</span></dt><dd>land masked used bilinear mask</dd></dl></div><div class='xr-var-data'><table>\n",
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       "  <tbody>\n",
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       "    <tr><th> Shape </th><td> (20008635, 71) </td> <td> (9869, 71) </td></tr>\n",
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       "    <tr><th> Type </th><td> float64 </td><td> numpy.ndarray </td></tr>\n",
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       "  <line x1=\"0\" y1=\"120\" 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>err_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, 71), meta=np.ndarray&gt;</div><input id='attrs-8420e19c-038e-437f-88e4-482c9c2167ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8420e19c-038e-437f-88e4-482c9c2167ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b85312a5-d07e-42aa-8017-36cac717b752' class='xr-var-data-in' type='checkbox'><label for='data-b85312a5-d07e-42aa-8017-36cac717b752' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>KaRIn error</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>post_process :</span></dt><dd>land masked used bilinear mask</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 11.36 GB </td> <td> 5.61 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (20008635, 71) </td> <td> (9869, 71) </td></tr>\n",
       "    <tr><th> Count </th><td> 6084 Tasks </td><td> 2028 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float64 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
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       "  <line x1=\"0\" y1=\"12\" x2=\"25\" y2=\"12\" />\n",
       "  <line x1=\"0\" y1=\"18\" x2=\"25\" y2=\"18\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"25\" y2=\"25\" />\n",
       "  <line x1=\"0\" y1=\"31\" x2=\"25\" y2=\"31\" />\n",
       "  <line x1=\"0\" y1=\"37\" x2=\"25\" y2=\"37\" />\n",
       "  <line x1=\"0\" y1=\"44\" x2=\"25\" y2=\"44\" />\n",
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       "  <line x1=\"0\" y1=\"63\" x2=\"25\" y2=\"63\" />\n",
       "  <line x1=\"0\" y1=\"69\" x2=\"25\" y2=\"69\" />\n",
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       "  <line x1=\"0\" y1=\"82\" x2=\"25\" y2=\"82\" />\n",
       "  <line x1=\"0\" y1=\"88\" x2=\"25\" y2=\"88\" />\n",
       "  <line x1=\"0\" y1=\"94\" x2=\"25\" y2=\"94\" />\n",
       "  <line x1=\"0\" y1=\"101\" x2=\"25\" y2=\"101\" />\n",
       "  <line x1=\"0\" y1=\"107\" x2=\"25\" y2=\"107\" />\n",
       "  <line x1=\"0\" y1=\"113\" x2=\"25\" y2=\"113\" />\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>err_roll</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, 71), meta=np.ndarray&gt;</div><input id='attrs-1f98386c-f38f-4df8-831f-b611854b03ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f98386c-f38f-4df8-831f-b611854b03ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-347c722c-62a7-49ed-b14f-71ad547c636d' class='xr-var-data-in' type='checkbox'><label for='data-347c722c-62a7-49ed-b14f-71ad547c636d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Error due to roll</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>post_process :</span></dt><dd>land masked used bilinear mask</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 11.36 GB </td> <td> 5.61 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (20008635, 71) </td> <td> (9869, 71) </td></tr>\n",
       "    <tr><th> Count </th><td> 6084 Tasks </td><td> 2028 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float64 </td><td> numpy.ndarray </td></tr>\n",
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       "</table>\n",
       "</td>\n",
       "<td>\n",
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       "  <line x1=\"0\" y1=\"88\" x2=\"25\" y2=\"88\" />\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\" >71</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)\">20008635</text>\n",
       "</svg>\n",
       "</td>\n",
       "</tr>\n",
       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-068676ec-7fae-4dcc-826a-342e626a7c18' class='xr-section-summary-in' type='checkbox'  ><label for='section-068676ec-7fae-4dcc-826a-342e626a7c18' class='xr-section-summary' >Attributes: <span>(38)</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 - Basic SSH</dd><dt><span>institution :</span></dt><dd>CNES/JPL</dd><dt><span>source :</span></dt><dd>Simulate product</dd><dt><span>history :</span></dt><dd>2020-07-25 12:59:08 : Creation</dd><dt><span>platform :</span></dt><dd>SWOT</dd><dt><span>references :</span></dt><dd>Gaultier, L., C. Ubelmann, and L.-L. Fu, 2016: The Challenge of Using Future SWOT Data for Oceanic Field Reconstruction. J. Atmos. Oceanic Technol., 33, 119-126, doi:10.1175/jtech-d-15-0160.1. http://dx.doi.org/10.1175/JTECH-D-15-0160.1.</dd><dt><span>reference_document :</span></dt><dd>D-56407_SWOT_Product_Description_L2_LR_SSH</dd><dt><span>contact :</span></dt><dd>CNES aviso@altimetry.fr, JPL podaac@podaac.jpl.nasa.gov</dd><dt><span>cycle_number :</span></dt><dd>7</dd><dt><span>pass_number :</span></dt><dd>414</dd><dt><span>time_coverage_start :</span></dt><dd>2009-11-16T23:37:13.365167Z</dd><dt><span>time_coverage_end :</span></dt><dd>2009-11-17T00:28:39.792495Z</dd><dt><span>time_coverage_duration :</span></dt><dd>P51M26S</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1S</dd><dt><span>geospatial_lon_min :</span></dt><dd>0.0008191316746889289</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.9987227733048</dd><dt><span>geospatial_lat_min :</span></dt><dd>-78.29163662969168</dd><dt><span>geospatial_lat_max :</span></dt><dd>78.29196356426404</dd><dt><span>left_first_longitude :</span></dt><dd>198.50888524328604</dd><dt><span>left_first_latitude :</span></dt><dd>77.03291420683716</dd><dt><span>left_last_longitude :</span></dt><dd>5.463758936048676</dd><dt><span>left_last_latitude :</span></dt><dd>-78.29163662969168</dd><dt><span>right_first_longitude :</span></dt><dd>198.5156550831449</dd><dt><span>right_first_latitude :</span></dt><dd>78.29196356426404</dd><dt><span>right_last_longitude :</span></dt><dd>5.464618840547371</dd><dt><span>right_last_latitude :</span></dt><dd>-77.03258645681888</dd><dt><span>wavelength :</span></dt><dd>0.008385803020979</dd><dt><span>orbit_solution :</span></dt><dd>POE</dd><dt><span>xref_input_l1b_lr_intf_file :</span></dt><dd>N/A</dd><dt><span>xref_input_static_karin_cal_file :</span></dt><dd>N/A</dd><dt><span>xref_input_static_geophys_files :</span></dt><dd>N/A</dd><dt><span>xref_input_dynamic_geophys_files :</span></dt><dd>N/A</dd><dt><span>xref_input_l1_nalt_gdr_files :</span></dt><dd>N/A</dd><dt><span>xref_input_int_lr_xover_cal_files :</span></dt><dd>N/A</dd><dt><span>xref_input_l2_rad_gdr_files :</span></dt><dd>N/A</dd><dt><span>ellipsoid_semi_major_axis :</span></dt><dd>1.0</dd><dt><span>ellipsoid_flattening :</span></dt><dd>0.0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                (num_lines: 20008635, num_pixels: 71)\n",
       "Coordinates:\n",
       "    latitude               (num_lines, num_pixels) float64 dask.array<chunksize=(9866, 71), meta=np.ndarray>\n",
       "    longitude              (num_lines, num_pixels) float64 dask.array<chunksize=(9866, 71), meta=np.ndarray>\n",
       "Dimensions without coordinates: num_lines, num_pixels\n",
       "Data variables:\n",
       "    time                   (num_lines) datetime64[ns] dask.array<chunksize=(9866,), meta=np.ndarray>\n",
       "    ssh_karin              (num_lines, num_pixels) float64 dask.array<chunksize=(9866, 71), meta=np.ndarray>\n",
       "    err_wet_troposphere    (num_lines, num_pixels) float64 dask.array<chunksize=(9866, 71), meta=np.ndarray>\n",
       "    ssh_karin_true         (num_lines, num_pixels) float64 dask.array<chunksize=(9866, 71), meta=np.ndarray>\n",
       "    err_timing             (num_lines, num_pixels) float64 dask.array<chunksize=(9866, 71), meta=np.ndarray>\n",
       "    err_baseline_dilation  (num_lines, num_pixels) float64 dask.array<chunksize=(9866, 71), meta=np.ndarray>\n",
       "    err_phase              (num_lines, num_pixels) float64 dask.array<chunksize=(9866, 71), meta=np.ndarray>\n",
       "    err_karin              (num_lines, num_pixels) float64 dask.array<chunksize=(9866, 71), meta=np.ndarray>\n",
       "    err_roll               (num_lines, num_pixels) float64 dask.array<chunksize=(9866, 71), meta=np.ndarray>\n",
       "Attributes:\n",
       "    Conventions:                        CF-1.7\n",
       "    title:                              Level 2 Low Rate Sea Surface Height D...\n",
       "    institution:                        CNES/JPL\n",
       "    source:                             Simulate product\n",
       "    history:                            2020-07-25 12:59:08 : Creation\n",
       "    platform:                           SWOT\n",
       "    references:                         Gaultier, L., C. Ubelmann, and L.-L. ...\n",
       "    reference_document:                 D-56407_SWOT_Product_Description_L2_L...\n",
       "    contact:                            CNES aviso@altimetry.fr, JPL podaac@p...\n",
       "    cycle_number:                       7\n",
       "    pass_number:                        414\n",
       "    time_coverage_start:                2009-11-16T23:37:13.365167Z\n",
       "    time_coverage_end:                  2009-11-17T00:28:39.792495Z\n",
       "    time_coverage_duration:             P51M26S\n",
       "    time_coverage_resolution:           P1S\n",
       "    geospatial_lon_min:                 0.0008191316746889289\n",
       "    geospatial_lon_max:                 359.9987227733048\n",
       "    geospatial_lat_min:                 -78.29163662969168\n",
       "    geospatial_lat_max:                 78.29196356426404\n",
       "    left_first_longitude:               198.50888524328604\n",
       "    left_first_latitude:                77.03291420683716\n",
       "    left_last_longitude:                5.463758936048676\n",
       "    left_last_latitude:                 -78.29163662969168\n",
       "    right_first_longitude:              198.5156550831449\n",
       "    right_first_latitude:               78.29196356426404\n",
       "    right_last_longitude:               5.464618840547371\n",
       "    right_last_latitude:                -77.03258645681888\n",
       "    wavelength:                         0.008385803020979\n",
       "    orbit_solution:                     POE\n",
       "    xref_input_l1b_lr_intf_file:        N/A\n",
       "    xref_input_static_karin_cal_file:   N/A\n",
       "    xref_input_static_geophys_files:    N/A\n",
       "    xref_input_dynamic_geophys_files:   N/A\n",
       "    xref_input_l1_nalt_gdr_files:       N/A\n",
       "    xref_input_int_lr_xover_cal_files:  N/A\n",
       "    xref_input_l2_rad_gdr_files:        N/A\n",
       "    ellipsoid_semi_major_axis:          1.0\n",
       "    ellipsoid_flattening:               0.0"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'ds' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-1-5601c91b1db2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mssh\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mssh_karin\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mlat\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlatitude\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mlon\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlongitude\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mlon\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwhere\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlon\u001b[0m\u001b[0;34m>\u001b[0m\u001b[0;36m180\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlon\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m360\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'ds' is not defined"
     ]
    }
   ],
   "source": [
    "ssh=ds.ssh_karin\n",
    "lat=ds.latitude\n",
    "lon=ds.longitude\n",
    "lon[np.where(lon>180)]=lon-360"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig=plt.figure(figsize=(20,15))\n",
    "ax = plt.subplot(111,projection=ccrs.PlateCarree(central_longitude=0))\n",
    "ax.set_extent((-100, 46, 6, 67))\n",
    "ax.coastlines(resolution=\"10m\")\n",
    "gl = ax.gridlines(draw_labels=True, linestyle=':', color='black',\n",
    "                      alpha=0.5)\n",
    "gl.top_labels = False\n",
    "gl.right_labels = False\n",
    "gl.xformatter = LONGITUDE_FORMATTER\n",
    "gl.yformatter = LATITUDE_FORMATTER\n",
    "ax.tick_params('both',labelsize=22)\n",
    "\n",
    "ax.plot([lonminN, lonminN], [latminN, latmaxN],color='black',linewidth=3)\n",
    "ax.plot([lonmaxN, lonmaxN], [latminN, latmaxN],color='black',linewidth=3)\n",
    "ax.plot([lonminN, lonmaxN], [latminN, latminN],color='black',linewidth=3)\n",
    "ax.plot([lonminN, lonmaxN], [latmaxN, latmaxN],color='black',linewidth=3)    \n",
    "ax.plot([lonminM, lonminM], [latminM, latmaxM],color='black',linewidth=3)\n",
    "ax.plot([lonmaxM, lonmaxM], [latminM, latmaxM],color='black',linewidth=3)\n",
    "ax.plot([lonminM, lonmaxM], [latminM, latminM],color='black',linewidth=3)\n",
    "ax.plot([lonminM, lonmaxM], [latmaxM, latmaxM],color='black',linewidth=3)    \n",
    "\n",
    "for f in np.arange(len(files)):\n",
    "    file=files[f]\n",
    "    nfile=file.split('/')[-1]\n",
    "    nnfile=nfile.split('.')[0]\n",
    "    filename='/work/ALT/odatis/eNATL60/alberta/SWOT-sim/'+phase+'/latlon_debut_track_'+nnfile+'.npz'\n",
    "    if os.path.exists(filename):\n",
    "        spec = np.load('/work/ALT/odatis/eNATL60/alberta/SWOT-sim/'+phase+'/latlon_debut_track_'+nnfile+'.npz')\n",
    "        lat_read = spec['lat_nonan'];\n",
    "        lon_read = spec['lon_nonan'];\n",
    "        plt.scatter(lon_read,lat_read, c='g', linewidth=0, s=18);\n"
   ]
  }
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