2021-01-13-AA-dev-script-gather-region-NANFL-swot-simulator-calval.ipynb

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   "source": [
    "import xarray as xr\n",
    "import numpy as np\n",
    "import glob\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "phase='calval_phase' # calval_phase or science_phase\n",
    "simu='eNATL60-BLB002' # or eNATL60-BLBT02\n",
    "data='karin' # or nadir"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "#parameters for the region to consider\n",
    "reg='NANFL'\n",
    "latmin=30\n",
    "latmax=40\n",
    "lonmin=-55+360\n",
    "lonmax=-40+360\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+'/*/*nc')"
   ]
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   "execution_count": 6,
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   "source": [
    "def check_data_region(file,latmin,latmax,lonmin,lonmax):\n",
    "    ds=xr.open_dataset(file)\n",
    "    latfile=ds.latitude\n",
    "    lonfile=ds.longitude\n",
    "    ind_region=np.where((latfile < latmax) & (latfile > latmin) & \n",
    "        (lonfile < lonmax) & (lonfile > lonmin))\n",
    "    if len(ind_region[0]) > 0:\n",
    " #       print(file+' has data relevant to the region selected')\n",
    "        check=1\n",
    "    else:\n",
    "        check=0\n",
    "    return check,ind_region\n",
    "    "
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   "source": [
    "def check_data_nonan(file,ind_region):\n",
    "    ds=xr.open_dataset(file)\n",
    "    latfile=ds.latitude\n",
    "    lonfile=ds.longitude\n",
    "    ssh=ds.ssh_karin    \n",
    "    numlines_region=ind_region[0]\n",
    "    numlines_region_unique=np.unique(numlines_region)\n",
    "    for k in np.arange(len(numlines_region_unique)):\n",
    "        isdata=np.where(np.isnan(ssh[numlines_region_unique[k],:])==False)\n",
    "        if len(isdata[0])>0:\n",
    "#            print(file+' has non NaN data')\n",
    "            check=1\n",
    "        else:\n",
    "            check=0\n",
    "        return check,isdata\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "file='/work/ALT/swot/aval/wisa/tmp/inland_cleaning/swot_simulator_calval_phase/eNATL60-BLB002-SSH-1h/karin/2010/SWOT_L2_LR_SSH_Basic_341_011_20100603T042122_20100603T051228_DG10_01.nc'\n",
    "check, ind_region = check_data_region(file,latmin,latmax,lonmin,lonmax)\n"
   ]
  },
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   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/work/ALT/swot/aval/wisa/tmp/inland_cleaning/swot_simulator_calval_phase/eNATL60-BLB002-SSH-1h/karin/2010/SWOT_L2_LR_SSH_Basic_341_011_20100603T042122_20100603T051228_DG10_01.nc has non NaN data\n"
     ]
    }
   ],
   "source": [
    "check2,isdata = check_data_nonan(file,ind_region)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
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    {
     "name": "stdout",
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     "text": [
      "1\n"
     ]
    }
   ],
   "source": [
    "print(check2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
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    {
     "data": {
      "text/plain": [
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       "        22, 23, 24, 25, 26, 27, 28, 29, 30, 40, 41, 42, 43, 44, 45, 46, 47,\n",
       "        48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64,\n",
       "        65]),)"
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                (num_lines: 9868, num_pixels: 71)\n",
       "Coordinates:\n",
       "    latitude               (num_lines, num_pixels) float64 ...\n",
       "    longitude              (num_lines, num_pixels) float64 ...\n",
       "Dimensions without coordinates: num_lines, num_pixels\n",
       "Data variables:\n",
       "    time                   (num_lines) datetime64[ns] 2010-06-03T04:21:22.443...\n",
       "    ssh_karin              (num_lines, num_pixels) float64 ...\n",
       "    err_phase              (num_lines, num_pixels) float64 ...\n",
       "    err_wet_troposphere    (num_lines, num_pixels) float64 ...\n",
       "    err_roll               (num_lines, num_pixels) float64 ...\n",
       "    err_timing             (num_lines, num_pixels) float64 ...\n",
       "    err_karin              (num_lines, num_pixels) float64 ...\n",
       "    ssh_karin_true         (num_lines, num_pixels) float64 ...\n",
       "    err_baseline_dilation  (num_lines, num_pixels) float64 ...\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:                            2020-07-23 11:24:42 : 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:                       341\n",
       "    pass_number:                        11\n",
       "    time_coverage_start:                2010-06-03T04:21:22.443817Z\n",
       "    time_coverage_end:                  2010-06-03T05:12:28.037054Z\n",
       "    time_coverage_duration:             P51M5S\n",
       "    time_coverage_resolution:           P1S\n",
       "    geospatial_lon_min:                 0.0004177715185490845\n",
       "    geospatial_lon_max:                 359.99990311987733\n",
       "    geospatial_lat_min:                 -78.29180400220362\n",
       "    geospatial_lat_max:                 78.29230999607833\n",
       "    left_first_longitude:               221.87992847033166\n",
       "    left_first_latitude:                -78.29180400220362\n",
       "    left_last_longitude:                29.008258972514415\n",
       "    left_last_latitude:                 77.03326000364758\n",
       "    right_first_longitude:              221.87102950312362\n",
       "    right_first_latitude:               -77.03275524812338\n",
       "    right_last_longitude:               29.01153278903159\n",
       "    right_last_latitude:                78.29230999607833\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-04b0a210-ee8d-48e3-9aaf-bf1320ea6df9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-04b0a210-ee8d-48e3-9aaf-bf1320ea6df9' 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>: 9868</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-69641546-4b5e-4305-8844-bf14c83ac73c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-69641546-4b5e-4305-8844-bf14c83ac73c' 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'>...</div><input id='attrs-e51df7f6-f72e-4a7d-800e-81a9ebb09fb6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e51df7f6-f72e-4a7d-800e-81a9ebb09fb6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c3b90aa-4775-4731-9fc9-a5d1e0540e8b' class='xr-var-data-in' type='checkbox'><label for='data-0c3b90aa-4775-4731-9fc9-a5d1e0540e8b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude (positive N, negative S)</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_min :</span></dt><dd>-80000000</dd><dt><span>valid_max :</span></dt><dd>80000000</dd><dt><span>comment :</span></dt><dd>Latitude of measurement [-80,80]. Positive latitude is North latitude, negative latitude is South latitude.</dd></dl></div><div class='xr-var-data'><pre>[700628 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-89f47b1f-97fc-4e44-a54d-2555bf4bf06e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89f47b1f-97fc-4e44-a54d-2555bf4bf06e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c59f3452-929e-4e9b-af62-153e2e6d518a' class='xr-var-data-in' type='checkbox'><label for='data-c59f3452-929e-4e9b-af62-153e2e6d518a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude (degrees East)</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>359999999</dd><dt><span>comment :</span></dt><dd>Longitude of measurement. East longitude relative to Greenwich meridian.</dd></dl></div><div class='xr-var-data'><pre>[700628 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e451883f-dc26-4bf9-b8a3-d07bb4a84506' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e451883f-dc26-4bf9-b8a3-d07bb4a84506' 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'>...</div><input id='attrs-1dab48ad-36be-4687-aec5-58353980e2ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1dab48ad-36be-4687-aec5-58353980e2ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41ec27ab-6d9c-43b4-9482-489eca256473' class='xr-var-data-in' type='checkbox'><label for='data-41ec27ab-6d9c-43b4-9482-489eca256473' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>array([&#x27;2010-06-03T04:21:22.443816960&#x27;, &#x27;2010-06-03T04:21:22.757395968&#x27;,\n",
       "       &#x27;2010-06-03T04:21:23.070976960&#x27;, ..., &#x27;2010-06-03T05:12:27.412512000&#x27;,\n",
       "       &#x27;2010-06-03T05:12:27.724782016&#x27;, &#x27;2010-06-03T05:12:28.037054016&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssh_karin</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6c27efbf-269d-45f5-a03f-7effa7c40bfe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c27efbf-269d-45f5-a03f-7effa7c40bfe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8838b40-0eb3-4a15-96cd-28a5fded0659' class='xr-var-data-in' type='checkbox'><label for='data-d8838b40-0eb3-4a15-96cd-28a5fded0659' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>[700628 values with dtype=float64]</pre></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'>...</div><input id='attrs-ddbcd909-201a-4631-ab1c-580374c258da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ddbcd909-201a-4631-ab1c-580374c258da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ccfdec19-5eda-498e-ba29-9007b5f36492' class='xr-var-data-in' type='checkbox'><label for='data-ccfdec19-5eda-498e-ba29-9007b5f36492' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>[700628 values with dtype=float64]</pre></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'>...</div><input id='attrs-9081df7f-b10f-49bf-ab6c-84285558691b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9081df7f-b10f-49bf-ab6c-84285558691b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-655b4f58-0998-43e4-b6e1-854618c4a4d6' class='xr-var-data-in' type='checkbox'><label for='data-655b4f58-0998-43e4-b6e1-854618c4a4d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>[700628 values with dtype=float64]</pre></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'>...</div><input id='attrs-9b5a13cf-f56c-43f1-8305-ea86bd0192e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b5a13cf-f56c-43f1-8305-ea86bd0192e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0cbd0175-3234-441f-8275-03bc94a524fd' class='xr-var-data-in' type='checkbox'><label for='data-0cbd0175-3234-441f-8275-03bc94a524fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>[700628 values with dtype=float64]</pre></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'>...</div><input id='attrs-866c5a07-0456-4043-9912-784278fe1eec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-866c5a07-0456-4043-9912-784278fe1eec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5202cf87-8e97-46cc-a1e8-7ecede6c8129' class='xr-var-data-in' type='checkbox'><label for='data-5202cf87-8e97-46cc-a1e8-7ecede6c8129' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>[700628 values with dtype=float64]</pre></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'>...</div><input id='attrs-a34dd2c5-e718-4f6b-841a-20171fa59be2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a34dd2c5-e718-4f6b-841a-20171fa59be2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c6d5508-9cff-4208-91e3-dd2cace56521' class='xr-var-data-in' type='checkbox'><label for='data-7c6d5508-9cff-4208-91e3-dd2cace56521' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>[700628 values with dtype=float64]</pre></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'>...</div><input id='attrs-0bc928cd-cad1-45cc-b711-4b3d43e74662' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0bc928cd-cad1-45cc-b711-4b3d43e74662' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9645bea7-d6a8-4832-85f7-45af2e655437' class='xr-var-data-in' type='checkbox'><label for='data-9645bea7-d6a8-4832-85f7-45af2e655437' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>[700628 values with dtype=float64]</pre></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'>...</div><input id='attrs-8fb9bd13-4cc0-4995-88d8-869bb5aa98c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8fb9bd13-4cc0-4995-88d8-869bb5aa98c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b62f046c-0a9b-43d9-9e02-41ab40f772d2' class='xr-var-data-in' type='checkbox'><label for='data-b62f046c-0a9b-43d9-9e02-41ab40f772d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>[700628 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-624c9ba5-2bfc-4eea-be8e-9a6b2e11302c' class='xr-section-summary-in' type='checkbox'  ><label for='section-624c9ba5-2bfc-4eea-be8e-9a6b2e11302c' 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>2020-07-23 11:24:42 : 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>341</dd><dt><span>pass_number :</span></dt><dd>11</dd><dt><span>time_coverage_start :</span></dt><dd>2010-06-03T04:21:22.443817Z</dd><dt><span>time_coverage_end :</span></dt><dd>2010-06-03T05:12:28.037054Z</dd><dt><span>time_coverage_duration :</span></dt><dd>P51M5S</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1S</dd><dt><span>geospatial_lon_min :</span></dt><dd>0.0004177715185490845</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.99990311987733</dd><dt><span>geospatial_lat_min :</span></dt><dd>-78.29180400220362</dd><dt><span>geospatial_lat_max :</span></dt><dd>78.29230999607833</dd><dt><span>left_first_longitude :</span></dt><dd>221.87992847033166</dd><dt><span>left_first_latitude :</span></dt><dd>-78.29180400220362</dd><dt><span>left_last_longitude :</span></dt><dd>29.008258972514415</dd><dt><span>left_last_latitude :</span></dt><dd>77.03326000364758</dd><dt><span>right_first_longitude :</span></dt><dd>221.87102950312362</dd><dt><span>right_first_latitude :</span></dt><dd>-77.03275524812338</dd><dt><span>right_last_longitude :</span></dt><dd>29.01153278903159</dd><dt><span>right_last_latitude :</span></dt><dd>78.29230999607833</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: 9868, num_pixels: 71)\n",
       "Coordinates:\n",
       "    latitude               (num_lines, num_pixels) float64 ...\n",
       "    longitude              (num_lines, num_pixels) float64 ...\n",
       "Dimensions without coordinates: num_lines, num_pixels\n",
       "Data variables:\n",
       "    time                   (num_lines) datetime64[ns] ...\n",
       "    ssh_karin              (num_lines, num_pixels) float64 ...\n",
       "    err_phase              (num_lines, num_pixels) float64 ...\n",
       "    err_wet_troposphere    (num_lines, num_pixels) float64 ...\n",
       "    err_roll               (num_lines, num_pixels) float64 ...\n",
       "    err_timing             (num_lines, num_pixels) float64 ...\n",
       "    err_karin              (num_lines, num_pixels) float64 ...\n",
       "    ssh_karin_true         (num_lines, num_pixels) float64 ...\n",
       "    err_baseline_dilation  (num_lines, num_pixels) float64 ...\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:                            2020-07-23 11:24:42 : 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:                       341\n",
       "    pass_number:                        11\n",
       "    time_coverage_start:                2010-06-03T04:21:22.443817Z\n",
       "    time_coverage_end:                  2010-06-03T05:12:28.037054Z\n",
       "    time_coverage_duration:             P51M5S\n",
       "    time_coverage_resolution:           P1S\n",
       "    geospatial_lon_min:                 0.0004177715185490845\n",
       "    geospatial_lon_max:                 359.99990311987733\n",
       "    geospatial_lat_min:                 -78.29180400220362\n",
       "    geospatial_lat_max:                 78.29230999607833\n",
       "    left_first_longitude:               221.87992847033166\n",
       "    left_first_latitude:                -78.29180400220362\n",
       "    left_last_longitude:                29.008258972514415\n",
       "    left_last_latitude:                 77.03326000364758\n",
       "    right_first_longitude:              221.87102950312362\n",
       "    right_first_latitude:               -77.03275524812338\n",
       "    right_last_longitude:               29.01153278903159\n",
       "    right_last_latitude:                78.29230999607833\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": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds=xr.open_dataset(file)\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_regnonan=ds.isel(num_lines=isdata[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                (num_lines: 52, num_pixels: 71)\n",
       "Coordinates:\n",
       "    latitude               (num_lines, num_pixels) float64 -78.29 ... -76.98\n",
       "    longitude              (num_lines, num_pixels) float64 222.3 222.3 ... 227.1\n",
       "Dimensions without coordinates: num_lines, num_pixels\n",
       "Data variables:\n",
       "    time                   (num_lines) datetime64[ns] 2010-06-03T04:21:24.011...\n",
       "    ssh_karin              (num_lines, num_pixels) float64 nan nan ... nan nan\n",
       "    err_phase              (num_lines, num_pixels) float64 nan nan ... nan nan\n",
       "    err_wet_troposphere    (num_lines, num_pixels) float64 nan nan ... nan nan\n",
       "    err_roll               (num_lines, num_pixels) float64 nan nan ... nan nan\n",
       "    err_timing             (num_lines, num_pixels) float64 nan nan ... nan nan\n",
       "    err_karin              (num_lines, num_pixels) float64 nan nan ... nan nan\n",
       "    ssh_karin_true         (num_lines, num_pixels) float64 nan nan ... nan nan\n",
       "    err_baseline_dilation  (num_lines, num_pixels) float64 nan nan ... nan nan\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:                            2020-07-23 11:24:42 : 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:                       341\n",
       "    pass_number:                        11\n",
       "    time_coverage_start:                2010-06-03T04:21:22.443817Z\n",
       "    time_coverage_end:                  2010-06-03T05:12:28.037054Z\n",
       "    time_coverage_duration:             P51M5S\n",
       "    time_coverage_resolution:           P1S\n",
       "    geospatial_lon_min:                 0.0004177715185490845\n",
       "    geospatial_lon_max:                 359.99990311987733\n",
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       "    left_first_longitude:               221.87992847033166\n",
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       "    left_last_longitude:                29.008258972514415\n",
       "    left_last_latitude:                 77.03326000364758\n",
       "    right_first_longitude:              221.87102950312362\n",
       "    right_first_latitude:               -77.03275524812338\n",
       "    right_last_longitude:               29.01153278903159\n",
       "    right_last_latitude:                78.29230999607833\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-c7dda0ff-fc86-46ee-9919-8f2c7690b333' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c7dda0ff-fc86-46ee-9919-8f2c7690b333' 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>: 52</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-434271d5-96a5-4a1e-a617-2469f629d5ff' class='xr-section-summary-in' type='checkbox'  checked><label for='section-434271d5-96a5-4a1e-a617-2469f629d5ff' 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'>...</div><input id='attrs-426d2f52-6be4-4122-b8ca-41038453430e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-426d2f52-6be4-4122-b8ca-41038453430e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c27cf77-22d1-42cf-9615-732f52b98728' class='xr-var-data-in' type='checkbox'><label for='data-2c27cf77-22d1-42cf-9615-732f52b98728' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude (positive N, negative S)</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_min :</span></dt><dd>-80000000</dd><dt><span>valid_max :</span></dt><dd>80000000</dd><dt><span>comment :</span></dt><dd>Latitude of measurement [-80,80]. Positive latitude is North latitude, negative latitude is South latitude.</dd></dl></div><div class='xr-var-data'><pre>array([[-78.291322, -78.273336, -78.25535 , ..., -77.068291, -77.050305,\n",
       "        -77.032319],\n",
       "       [-78.291144, -78.273158, -78.255173, ..., -77.068129, -77.050144,\n",
       "        -77.032158],\n",
       "       [-78.290938, -78.272953, -78.254968, ..., -77.067943, -77.049958,\n",
       "        -77.031972],\n",
       "       ...,\n",
       "       [-78.233435, -78.21554 , -78.197645, ..., -77.016015, -76.998104,\n",
       "        -76.980193],\n",
       "       [-78.231608, -78.213715, -78.195823, ..., -77.014356, -76.996448,\n",
       "        -76.978539],\n",
       "       [-78.229754, -78.211864, -78.193975, ..., -77.012674, -76.994767,\n",
       "        -76.976861]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-64714b11-4791-4b05-bf9c-92bffdc80b11' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64714b11-4791-4b05-bf9c-92bffdc80b11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02aa0909-69fb-459f-9a11-60573b397f98' class='xr-var-data-in' type='checkbox'><label for='data-02aa0909-69fb-459f-9a11-60573b397f98' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude (degrees East)</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>359999999</dd><dt><span>comment :</span></dt><dd>Longitude of measurement. East longitude relative to Greenwich meridian.</dd></dl></div><div class='xr-var-data'><pre>array([[222.323067, 222.322258, 222.321451, ..., 222.273106, 222.272441,\n",
       "        222.271778],\n",
       "       [222.411688, 222.410745, 222.409805, ..., 222.353471, 222.352695,\n",
       "        222.351922],\n",
       "       [222.500306, 222.499229, 222.498156, ..., 222.433832, 222.432947,\n",
       "        222.432064],\n",
       "       ...,\n",
       "       [227.45802 , 227.449139, 227.440284, ..., 226.909089, 226.901772,\n",
       "        226.894474],\n",
       "       [227.545753, 227.536742, 227.527758, ..., 226.988793, 226.981368,\n",
       "        226.973964],\n",
       "       [227.633459, 227.624319, 227.615205, ..., 227.068477, 227.060945,\n",
       "        227.053433]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4daee8b3-b009-4b62-8e8a-4e52c8c610b8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4daee8b3-b009-4b62-8e8a-4e52c8c610b8' 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'>2010-06-03T04:21:24.011726976 .....</div><input id='attrs-b8e321b7-610b-4333-9743-31eb4cf60c4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b8e321b7-610b-4333-9743-31eb4cf60c4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3df9597-e90c-4f95-9831-cd7a32e0125d' class='xr-var-data-in' type='checkbox'><label for='data-c3df9597-e90c-4f95-9831-cd7a32e0125d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>array([&#x27;2010-06-03T04:21:24.011726976&#x27;, &#x27;2010-06-03T04:21:24.325312960&#x27;,\n",
       "       &#x27;2010-06-03T04:21:24.638899968&#x27;, &#x27;2010-06-03T04:21:24.952488960&#x27;,\n",
       "       &#x27;2010-06-03T04:21:25.266079936&#x27;, &#x27;2010-06-03T04:21:25.579672000&#x27;,\n",
       "       &#x27;2010-06-03T04:21:25.893265984&#x27;, &#x27;2010-06-03T04:21:26.206860928&#x27;,\n",
       "       &#x27;2010-06-03T04:21:26.520457984&#x27;, &#x27;2010-06-03T04:21:26.834057984&#x27;,\n",
       "       &#x27;2010-06-03T04:21:27.147657984&#x27;, &#x27;2010-06-03T04:21:27.461260992&#x27;,\n",
       "       &#x27;2010-06-03T04:21:27.774867008&#x27;, &#x27;2010-06-03T04:21:28.088472960&#x27;,\n",
       "       &#x27;2010-06-03T04:21:28.402083008&#x27;, &#x27;2010-06-03T04:21:28.715694976&#x27;,\n",
       "       &#x27;2010-06-03T04:21:29.029307968&#x27;, &#x27;2010-06-03T04:21:29.342924992&#x27;,\n",
       "       &#x27;2010-06-03T04:21:29.656542976&#x27;, &#x27;2010-06-03T04:21:29.970164032&#x27;,\n",
       "       &#x27;2010-06-03T04:21:30.283787968&#x27;, &#x27;2010-06-03T04:21:30.597413952&#x27;,\n",
       "       &#x27;2010-06-03T04:21:30.911043008&#x27;, &#x27;2010-06-03T04:21:31.224675008&#x27;,\n",
       "       &#x27;2010-06-03T04:21:31.538308992&#x27;, &#x27;2010-06-03T04:21:31.851947008&#x27;,\n",
       "       &#x27;2010-06-03T04:21:34.988206976&#x27;, &#x27;2010-06-03T04:21:35.301817984&#x27;,\n",
       "       &#x27;2010-06-03T04:21:35.615428992&#x27;, &#x27;2010-06-03T04:21:35.929035968&#x27;,\n",
       "       &#x27;2010-06-03T04:21:36.242640960&#x27;, &#x27;2010-06-03T04:21:36.556243968&#x27;,\n",
       "       &#x27;2010-06-03T04:21:36.869844992&#x27;, &#x27;2010-06-03T04:21:37.183443968&#x27;,\n",
       "       &#x27;2010-06-03T04:21:37.497040960&#x27;, &#x27;2010-06-03T04:21:37.810635968&#x27;,\n",
       "       &#x27;2010-06-03T04:21:38.124228992&#x27;, &#x27;2010-06-03T04:21:38.437820992&#x27;,\n",
       "       &#x27;2010-06-03T04:21:38.751409984&#x27;, &#x27;2010-06-03T04:21:39.064998976&#x27;,\n",
       "       &#x27;2010-06-03T04:21:39.378584960&#x27;, &#x27;2010-06-03T04:21:39.692169984&#x27;,\n",
       "       &#x27;2010-06-03T04:21:40.005753984&#x27;, &#x27;2010-06-03T04:21:40.319336000&#x27;,\n",
       "       &#x27;2010-06-03T04:21:40.632916992&#x27;, &#x27;2010-06-03T04:21:40.946496000&#x27;,\n",
       "       &#x27;2010-06-03T04:21:41.260074944&#x27;, &#x27;2010-06-03T04:21:41.573651968&#x27;,\n",
       "       &#x27;2010-06-03T04:21:41.887228032&#x27;, &#x27;2010-06-03T04:21:42.200803008&#x27;,\n",
       "       &#x27;2010-06-03T04:21:42.514377984&#x27;, &#x27;2010-06-03T04:21:42.827951040&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssh_karin</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6ddb6f7b-1c60-4285-ba7f-fa5ffac320c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ddb6f7b-1c60-4285-ba7f-fa5ffac320c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e02c8c78-9264-4714-8b11-361347677880' class='xr-var-data-in' type='checkbox'><label for='data-e02c8c78-9264-4714-8b11-361347677880' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></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'>...</div><input id='attrs-3b1a7f8c-0313-4c7b-a91c-ed8dbd78c855' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b1a7f8c-0313-4c7b-a91c-ed8dbd78c855' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-161b8756-557b-4b44-9a38-aaed1218d3e7' class='xr-var-data-in' type='checkbox'><label for='data-161b8756-557b-4b44-9a38-aaed1218d3e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></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'>...</div><input id='attrs-3af00551-7c5c-4d5a-90b4-5127e5c5a6e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3af00551-7c5c-4d5a-90b4-5127e5c5a6e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04aa317f-496e-4071-8ad4-f2d1fc6223e9' class='xr-var-data-in' type='checkbox'><label for='data-04aa317f-496e-4071-8ad4-f2d1fc6223e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></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'>...</div><input id='attrs-12944e2e-88aa-4a3e-bd52-d542ec92b1a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12944e2e-88aa-4a3e-bd52-d542ec92b1a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e072d1a-c4a4-400f-8712-136b28bae074' class='xr-var-data-in' type='checkbox'><label for='data-9e072d1a-c4a4-400f-8712-136b28bae074' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></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'>...</div><input id='attrs-480726e0-4eab-4439-b105-f135f2465787' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-480726e0-4eab-4439-b105-f135f2465787' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d51397c-ab9a-42c9-b56a-1c2f98f1d04f' class='xr-var-data-in' type='checkbox'><label for='data-9d51397c-ab9a-42c9-b56a-1c2f98f1d04f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></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'>...</div><input id='attrs-dff050da-0590-4828-8128-a08eedb4f5b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dff050da-0590-4828-8128-a08eedb4f5b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddf436e1-2695-4cb0-8c65-ea2d89095275' class='xr-var-data-in' type='checkbox'><label for='data-ddf436e1-2695-4cb0-8c65-ea2d89095275' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></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'>...</div><input id='attrs-33c71783-8ca2-442a-ac39-d293150d85f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33c71783-8ca2-442a-ac39-d293150d85f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f8e75d8-59f7-4cd8-ae39-1b58b9e41650' class='xr-var-data-in' type='checkbox'><label for='data-8f8e75d8-59f7-4cd8-ae39-1b58b9e41650' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></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'>...</div><input id='attrs-d0505e48-09ea-4c7b-a727-bcbbc5d571e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0505e48-09ea-4c7b-a727-bcbbc5d571e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad6690f0-9cd6-4328-904a-01d2b1945aa7' class='xr-var-data-in' type='checkbox'><label for='data-ad6690f0-9cd6-4328-904a-01d2b1945aa7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8b55234a-93a5-43c7-bb61-c27f631f4e13' class='xr-section-summary-in' type='checkbox'  ><label for='section-8b55234a-93a5-43c7-bb61-c27f631f4e13' 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>2020-07-23 11:24:42 : 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>341</dd><dt><span>pass_number :</span></dt><dd>11</dd><dt><span>time_coverage_start :</span></dt><dd>2010-06-03T04:21:22.443817Z</dd><dt><span>time_coverage_end :</span></dt><dd>2010-06-03T05:12:28.037054Z</dd><dt><span>time_coverage_duration :</span></dt><dd>P51M5S</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1S</dd><dt><span>geospatial_lon_min :</span></dt><dd>0.0004177715185490845</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.99990311987733</dd><dt><span>geospatial_lat_min :</span></dt><dd>-78.29180400220362</dd><dt><span>geospatial_lat_max :</span></dt><dd>78.29230999607833</dd><dt><span>left_first_longitude :</span></dt><dd>221.87992847033166</dd><dt><span>left_first_latitude :</span></dt><dd>-78.29180400220362</dd><dt><span>left_last_longitude :</span></dt><dd>29.008258972514415</dd><dt><span>left_last_latitude :</span></dt><dd>77.03326000364758</dd><dt><span>right_first_longitude :</span></dt><dd>221.87102950312362</dd><dt><span>right_first_latitude :</span></dt><dd>-77.03275524812338</dd><dt><span>right_last_longitude :</span></dt><dd>29.01153278903159</dd><dt><span>right_last_latitude :</span></dt><dd>78.29230999607833</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: 52, num_pixels: 71)\n",
       "Coordinates:\n",
       "    latitude               (num_lines, num_pixels) float64 ...\n",
       "    longitude              (num_lines, num_pixels) float64 ...\n",
       "Dimensions without coordinates: num_lines, num_pixels\n",
       "Data variables:\n",
       "    time                   (num_lines) datetime64[ns] 2010-06-03T04:21:24.011...\n",
       "    ssh_karin              (num_lines, num_pixels) float64 ...\n",
       "    err_phase              (num_lines, num_pixels) float64 ...\n",
       "    err_wet_troposphere    (num_lines, num_pixels) float64 ...\n",
       "    err_roll               (num_lines, num_pixels) float64 ...\n",
       "    err_timing             (num_lines, num_pixels) float64 ...\n",
       "    err_karin              (num_lines, num_pixels) float64 ...\n",
       "    ssh_karin_true         (num_lines, num_pixels) float64 ...\n",
       "    err_baseline_dilation  (num_lines, num_pixels) float64 ...\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:                            2020-07-23 11:24:42 : 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:                       341\n",
       "    pass_number:                        11\n",
       "    time_coverage_start:                2010-06-03T04:21:22.443817Z\n",
       "    time_coverage_end:                  2010-06-03T05:12:28.037054Z\n",
       "    time_coverage_duration:             P51M5S\n",
       "    time_coverage_resolution:           P1S\n",
       "    geospatial_lon_min:                 0.0004177715185490845\n",
       "    geospatial_lon_max:                 359.99990311987733\n",
       "    geospatial_lat_min:                 -78.29180400220362\n",
       "    geospatial_lat_max:                 78.29230999607833\n",
       "    left_first_longitude:               221.87992847033166\n",
       "    left_first_latitude:                -78.29180400220362\n",
       "    left_last_longitude:                29.008258972514415\n",
       "    left_last_latitude:                 77.03326000364758\n",
       "    right_first_longitude:              221.87102950312362\n",
       "    right_first_latitude:               -77.03275524812338\n",
       "    right_last_longitude:               29.01153278903159\n",
       "    right_last_latitude:                78.29230999607833\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": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_regnonan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "try:\n",
    "    ds_regnonan_all=xr.concat([ds_regnonan_all,ds_regnonan],dim='N_PROF')\n",
    "except NameError:\n",
    "    ds_regnonan_all=ds_regnonan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/work/ALT/swot/aval/wisa/tmp/inland_cleaning/swot_simulator_calval_phase/eNATL60-BLB002-SSH-1h/karin/2010/SWOT_L2_LR_SSH_Basic_374_024_20100706T101600_20100706T110705_DG10_01.nc has non NaN data\n"
     ]
    }
   ],
   "source": [
    "file='/work/ALT/swot/aval/wisa/tmp/inland_cleaning/swot_simulator_calval_phase/eNATL60-BLB002-SSH-1h/karin/2010/SWOT_L2_LR_SSH_Basic_374_024_20100706T101600_20100706T110705_DG10_01.nc'\n",
    "check, ind_region = check_data_region(file,latmin,latmax,lonmin,lonmax)\n",
    "check2,isdata = check_data_nonan(file,ind_region)\n",
    "ds=xr.open_dataset(file)\n",
    "ds_regnonan=ds.isel(num_lines=isdata[0])\n",
    "try:\n",
    "    ds_regnonan_all=xr.concat([ds_regnonan_all,ds_regnonan],dim='num_lines')\n",
    "except NameError:\n",
    "    ds_regnonan_all=ds_regnonan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "ind_region_unique=np.unique(ind_region[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2673, 2674, 2675, 2676, 2677, 2678, 2679, 2680, 2681, 2682, 2683,\n",
       "       2684, 2685, 2686, 2687, 2688, 2689, 2690, 2691, 2692, 2693, 2694,\n",
       "       2695, 2696, 2697, 2698, 2708, 2709, 2710, 2711, 2712, 2713, 2714,\n",
       "       2715, 2716, 2717, 2718, 2719, 2720, 2721, 2722, 2723, 2724, 2725,\n",
       "       2726, 2727, 2728, 2729, 2730, 2731, 2732, 2733])"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ind_region_unique[isdata[0]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_regnonan=ds.isel(num_lines=ind_region_unique[isdata[0]])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2af78bf3b910>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_regnonan.ssh_karin.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x2af78bfd9fd0>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.scatter(ds_regnonan.longitude, ds_regnonan.latitude,c=ds_regnonan.ssh_karin)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "nfile=file.split('/')[-1]\n",
    "odir='/work/ALT/odatis/eNATL60/alberta/SWOT-sim/'+reg+'/'+phase+'/'\n",
    "if not os.path.exists(odir):\n",
    "    os.makedirs(odir)\n",
    "filename=odir+nfile"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2af78be90670>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds.ssh_karin.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2af78bde6b20>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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bCWM4Ry1HxIwk19tquBxYJGnPcvG5YykmAGy1Cni9CgcA99reVLNsE++l6FO5B8D2lRT9JLV0s0kqNYyIGB5d+hO4XHPiJIqFi2YB59m+VtKby88/CqymGFJ7E8Ww2uPHKzuJcLbYvrdtqe3aupkwvtfFa0VE9FYX20zKSVtXtx37aMt7s40VTKvKTsI1kl4DzJK0iGKp7e/XLdxkAaWdgNczdgGlt5WvJ9W9VkREP2vQ3DRo3gqcSfGU92coai5/X7dwkxrGauAy4GrqdvVERAyqIZoaZJTt+ykSxpkTKd8kYexg+9SJ3CQiYtAMYw1D0hrgGNv3lPs7A5+z/dI65ZuMkvqkpDdJmitpl9GtecgREQPANbfBMns0WQDY/jWwa93CTWoYfwDeT1GVGf2aDOzV4BoREf1vePswRiQtsH0rgKQn0yDtNUkYpwJPtX1XwwAjIgbPcCaMM4HvShqdjPAFwLK6hZskjGspxgdHRAy/IUwYtr9RLoZ3AMWzc3/TpBLQJGFsBa6UdDEPX3jjbQ2uERExEIa0SQqK3+WbgR2AfSRh+9I6BZskjC+XW0TE8BvChCHprygmip1PMafUAcAPqLlyau2EkanLI2LGGN5O75OBPwMus/0iSU8H3le3cJMnvX9GRc61nVFSETF8hjNh/N727yUh6VG2r5e0d93CTZqkWud73wE4BshzGBExnIYzYWwsp3n6MrBG0q9pMF16kyapu9sOnS3pu8C7614jImIQiOFqkpK0p+2f2f6L8tB7ywFMT6BcG6OOJk1S+7XsbkdR49ixbvmIiIFh0HDNmPcF4E8lrbV9KIDt73QoM0aTJql/4qFK2hbgFopmqW2StAfwCeBJFBMWLrf9oXJKkc9TzHx7C/Dq8hH1iIj+MEQ1DGA7Se8BniZpzJyAtj9Y6yINbng48HFgLcXaF7+gWP1pPFuA02w/g2L41omS9gFOB9baXlRe7/QGcURETL3hmkvqWOD3FJWEHSu2Wpo+h3EPcEV5447KJQY3le/vk7QBmAccBRxcnrYCuAR4Z4NYIiKm1DD1Ydi+QdL7gVttf3ai12mSMObbXjLRG0laCDwX+CGwW5lMsL1JUuVsiZKWUc5zsmDBgoneOiKiuSFKGAC2RyT9NTDhhNGkSer7kp41kZtIehzwReAU27+pW872ctuLbS+eM2fORG4dEdFc2eldZxswayS9XdIeE1mmokkN4/nAG8oH+B6gGHlm288er5CkR1Iki0/b/lJ5+A5Jc8vaxVyKeU0iIvrHkNUwSm8sX1vXD6+9TEWThHF4g3MBkCSKjvINbb3wq4ClwFnl64VNrx0RMZWGqQ9jlO09J1O+yYN7P5/A9Q8CXgdcLenK8tjfUSSKlZJOAG6lw/DciIhpN4QJQ9Lrq47b/kSd8k1qGI3Z/i5F01WVQ6fy3hEREzZYQ2ab+LOW9ztQ/B6+guJ5uY6mNGFERAwise2/dAeZ7be27kt6AvDJuuWTMCIiKgzgCKiJuB9YVPfkJIyIiCpD2CQl6Ss89JNtB+wDrKxbPgkjIqLKECYM4AMt77cAP7e9sW7hJIyIiHbDu+LeOuA/y6e+nwbsJ+kO2w/WKdzkSe+IiJljuCYfHHUpsIOkeRQTvx4PnF+3cBJGRESFIZ0aRLbvB14JfLhcUGmfuoWTMCIiKsj1tgEjSQcCfwl8rTxWu2sifRgREe0Gs7mpjpOBM4ALbF8raS/g4rqFkzAiIqoMYcKwfSlFP8bo/s3A2+qWT8KIiGgjBrK5acqlDyMioso0jJIq16NYI+nG8nXnbZy3RNINkm6SdHrL8fdLul7SVZIukLTT5CIaXxJGREQ7g0Zca5uk04G1thdRDHM9vf0ESbOAcyiWmNgHOE7S6MimNcAzy3WJfkrRPzFl0iQVEVFhmpqkjgIOLt+vAC4B3tl2zv7ATWV/A5I+V5a7zvY3W867DHjVeDeTtANwAvAnFLPVAmD7jdss1CI1jIiIKtPz4N5utjcBlK+7VpwzD7itZX9jeazdG4Gvd7jfJ4EnAS8FvgPMB+6rG2xqGBERFRrUMGZLWteyv9z28j9eR/oWxS/pdmfWDaXi2MOik3QmxdxQn+5wrafaPkbSUbZXSPoMcFHNOJIwIiIq1U8Yd9levM3L2C/e1meS7pA01/YmSXOBzRWnbQT2aNmfD9zeco2lwMuBQ213inp0zqh7JD0T+CWwsEOZP0qTVEREu5pPeXehn2MVsLR8vxS4sOKcy4FFkvaUtD1wbFkOSUso+jyOLKf86GR5ORLrXeU1rgP+sW6wqWFERLQR0zZP1FnASkknALcCxwBI2h041/YRtrdIOomi6WgWcJ7ta8vy/wI8ClgjCeAy22/e1s1sn1u+/Q6wV9NgkzAiIqp0bN3pxi18N8W62u3HbweOaNlfDayuOO+pTe4naTfgH4DdbR9eDs890PbH65RPk1RERIUhnXzwfIqayu7l/k+BU+oWTsKIiGhXd0jt4CWM2bZXAiMAtrcAW+sWTpNURESFAVzroo7fSXoiZaqTdABwb93CSRgRERWGNGGcSjE66imSvgfMocPT4a2SMCIi2plp6fSebravkPRCYG+KwWA31F3PG9KHERFRaRg7vSUdAzy6HJZ7NPB5SfvVLZ+EERFRZTg7vd9l+z5Jz6eYT2oF8JG6hZMwIiLajC6gNGw1DB4aEfUy4CO2LwS2r1s4CSMiop1dfxssv5D0r8CrgdWSHkWDPJCEERFRQSP1tgHzaooH95bYvgfYBfjbuoUzSioiosIANjd1VE5Q+KWW/U3AprrlkzAiItoZmPzyq0MnCSMiokryxRhT2och6TxJmyVd03JsF0lrJN1Yvu48lTFEREzEkI6SmpSp7vQ+H1jSdux0YK3tRcDacj8ior8M5yipSZnShGH7UuBXbYePonhYhPL16KmMISKiMQ/tKKlJ6UUfxm5lzzzlOra7butEScuAZQALFiyYpvAiYqYrHtybWbWHOvr6OQzby20vtr14zpw5vQ4nImaSkZrbDNKLhHGHpLkA5evmHsQQETEu2bW2maQXCWMVsLR8vxS4sAcxRERs2/CuuDcpU9qHIemzwMHAbEkbgfcAZwErJZ0A3AocM5UxREQ0Z5QH98aY0oRh+7htfHToVN43ImLSZlhzUx150jsiop1n3pDZOpIwIiKqpIYxRhJGRESV5IsxkjAiIirMtCGzdSRhRES0M7A1CaNdEkZERBsx8x7KqyMJIyKiShLGGEkYERFVkjDGSMKIiGhnZtzEgnUkYUREVEgfxlhJGBERYxhGUsVol4QREdHOpA+jQhJGRESVVDDG6OsV9yIiemU6FlCStIukNZJuLF933sZ5SyTdIOkmSadXfP52SZY0e1IBdZCEERFRxa63Tc7pwFrbi4C15f7DSJoFnAMcDuwDHCdpn5bP9wAOo1hfaEolYUREtLNh60i9bXKOAlaU71cAR1ecsz9wk+2bbf8B+FxZbtT/Ad7BNEyXmIQREVGlfg1jtqR1LduyBnfZzfam4nbeBOxacc484LaW/Y3lMSQdCfzC9k8m9DM2lE7viIgq9Zub7rK9eFsfSvoW8KSKj86seX1VHLOkx5TXeEnN60xaEkZERDsDXVrT2/aLt/WZpDskzbW9SdJcYHPFaRuBPVr25wO3A08B9gR+Imn0+BWS9rf9y64E3yZNUhERYxg8Um+bnFXA0vL9UuDCinMuBxZJ2lPS9sCxwCrbV9ve1fZC2wspEst+U5UsIAkjIqLa9IySOgs4TNKNFCOdzgKQtLuk1UUY3gKcBFwEbABW2r52sjeeiDRJRUS0M90YAdX5NvbdwKEVx28HjmjZXw2s7nCthd2Or10SRkRElUwNMkYSRkTEGF1pbho6SRgREe1MZqutkIQREVElNYwxkjAiIqokYYyRhBER0c7GW7f2Ooq+k4QREVGlS096D5MkjIiIKmmSGiMJIyKinbOmd5UkjIiIKqlhjJGEERExRjq9q/Rs8sFOa9RGRPTM6PTmdbYZpCcJo9MatRERPTc905sPlF7VMDqtURsR0TMGPOJa20zSq4SxzTVqW0laNrpO7p133jltwUXEDOdpW0BpoPQqYVSuUTvmgL3c9mLbi+fMmTMNYUVEFFLDGKtXo6S2tUbtNq1fv/4uST8HZgN3TWFsE9GPMUHiaqof4+rHmKD/43ryZC5yH7++6FsjK2fXPL0fv4cpIfdgrLGkRwA/pVhp6hcUa9a+ps6yg5LW2V48xSE20o8xQeJqqh/j6seYIHHNVD2pYdjeIml0jdpZwHm9WqM2IiLq6dmDe3XWqI2IiP7Rswf3JmF5rwOo0I8xQeJqqh/j6seYIHHNSD3pw4iIiMEziDWMiIjogSSMiIioZWASRr9MVijpPEmbJV3TcmwXSWsk3Vi+7tyDuPaQdLGkDZKulXRyr2OTtIOkH0n6SRnT+3odU1t8syT9WNJX+yUuSbdIulrSlZLW9UNcknaS9AVJ15f/vg7sg5j2Lr+j0e03kk7pdVzDbiASRp9NVng+sKTt2OnAWtuLgLXl/nTbApxm+xnAAcCJ5XfUy9geAA6x/RxgX2CJpAN6HFOrk4ENLfv9EteLbO/b8jxBr+P6EPAN208HnkPxnfU0Jts3lN/RvsCfAvcDF/Q6rqFnu+834EDgopb9M4AzehjPQuCalv0bgLnl+7nADX3wnV0IHNYvsQGPAa4AntcPMVHMLrAWOAT4ar/8fwRuAWa3HetZXMDjgZ9RDpDph5gqYnwJ8L1+i2sYt4GoYVBzssIe2s32JoDydddeBiNpIfBc4If0OLay2edKYDOwxnbPYyqdDbwDaJ09rh/iMvBNSeslLeuDuPYC7gT+rWy+O1fSY3scU7tjgc+W7/sprqEzKAmj1mSFAZIeB3wROMX2b3odj+2tLpoN5gP7S3pmj0NC0suBzbbX9zqWCgfZ3o+i+fVESS/ocTyPAPYDPmL7ucDv6KNmHknbA0cC/97rWGaCQUkYjScrnGZ3SJoLUL5u7kUQkh5JkSw+bftL/RSb7XuASyj6f3od00HAkZJuoViL5RBJn+qDuLB9e/m6maJNfv8ex7UR2FjWDAG+QJFAev5dlQ4HrrB9R7nfL3ENpUFJGJcDiyTtWf5FcSywqscxtVoFLC3fL6XoP5hWkgR8HNhg+4P9EJukOZJ2Kt8/GngxcH0vYwKwfYbt+bYXUvxb+rbt1/Y6LkmPlbTj6HuKtvlrehmX7V8Ct0nauzx0KHBdL2NqcxwPNUdB/8Q1nHrdiVJ3A46gmOH2P4AzexjHZ4FNwIMUf32dADyRogP1xvJ1lx7E9XyKZrqrgCvL7YhexgY8G/hxGdM1wLvL4z3/vlpiPJiHOr17GhdFf8FPyu3a0X/nfRDXvsC68v/jl4Gdex1TGddjgLuBJ7Qc63lcw7xlapCIiKhlUJqkIiKix5IwIiKiliSMiIioJQkjIiJqScKIiIhakjAiIqKWJIwYOpKOnOgU+JIukbS485kRM88jeh1ARLfZXkV/zQQQMRRSw4iukrSwXGTnY+WiSd+U9OjWv9wlzS7ncULSGyR9WdJXJP1M0kmSTi1nRr1M0i7j3OsSSWdL+r6kayTt33LNfynfXyjp9eX7/y7p0+X7l0j6gaQrJP17OWlj67VnSTq/vO7Vkv5mSr6wiAGShBFTYRFwju0/Ae4B/muH858JvIZior3/CdzvYmbUHwCv71D2sbb/HHgLcF7F58uAd0v6L8BpwFslzQb+B/BiFzPDrgNObSu3LzDP9jNtPwv4tw5xRAy9NEnFVPiZ7SvL9+spFpwaz8W27wPuk3Qv8JXy+NUU81GN57MAti+V9PjRyQ5H2b5D0ruBi4G/sP2rcnrzfYDvFXM2sj1Fcmp1M7CXpA8DXwO+2SGOiKGXhBFT4YGW91uBR1MsITtao91hnPNHWvZH6PxvtH0ytKrJ0Z5FMUnd7uW+KBZzOm6bF7V/Lek5wEuBE4FXA2/sEEvEUEuTVEyXWyjWXgZ4VRev+98AJD0fuNf2va0flv0ah1OsQPh2SXsClwEHSXpqec5jJD2trdxsYDvbXwTeRbEGRMSMlhpGTJcPACslvQ74dhev+2tJ36dYe/phNQBJjwI+Bhxv+3ZJp1H0cxwCvAH4bHkOFH0aP20pPo9iWdLRP6rO6GLMEQMp05vHwJJ0CfB22+t6HUvETJAmqYiIqCVNUtH3JJ1DsQ53qw/ZPrgH4UTMWGmSioiIWtIkFRERtSRhRERELUkYERFRSxJGRETU8v8BEIczO6xmfvwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_regnonan.ssh_karin.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_regnonan.to_netcdf(path=filename,mode='w')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/work/ALT/odatis/eNATL60/alberta/SWOT-sim/calval_phase/SWOT_L2_LR_SSH_Basic_374_024_20100706T101600_20100706T110705_DG10_01.nc\n"
     ]
    }
   ],
   "source": [
    "print(filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "dst=xr.open_dataset(filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2af78bcb50a0>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dst.ssh_karin.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21,\n",
       "        22, 23, 24, 25, 26, 27, 28, 29, 30, 40, 41, 42, 43, 44, 45, 46, 47,\n",
       "        48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64,\n",
       "        65]),)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "isdata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                (num_lines: 104, num_pixels: 71)\n",
       "Coordinates:\n",
       "    latitude               (num_lines, num_pixels) float64 -78.29 ... 78.23\n",
       "    longitude              (num_lines, num_pixels) float64 222.3 222.3 ... 240.4\n",
       "Dimensions without coordinates: num_lines, num_pixels\n",
       "Data variables:\n",
       "    time                   (num_lines) datetime64[ns] 2010-06-03T04:21:24.011...\n",
       "    ssh_karin              (num_lines, num_pixels) float64 nan nan ... nan nan\n",
       "    err_phase              (num_lines, num_pixels) float64 nan nan ... nan nan\n",
       "    err_wet_troposphere    (num_lines, num_pixels) float64 nan nan ... nan nan\n",
       "    err_roll               (num_lines, num_pixels) float64 nan nan ... nan nan\n",
       "    err_timing             (num_lines, num_pixels) float64 nan nan ... nan nan\n",
       "    err_karin              (num_lines, num_pixels) float64 nan nan ... nan nan\n",
       "    ssh_karin_true         (num_lines, num_pixels) float64 nan nan ... nan nan\n",
       "    err_baseline_dilation  (num_lines, num_pixels) float64 nan nan ... nan nan\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:                            2020-07-23 11:24:42 : 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:                       341\n",
       "    pass_number:                        11\n",
       "    time_coverage_start:                2010-06-03T04:21:22.443817Z\n",
       "    time_coverage_end:                  2010-06-03T05:12:28.037054Z\n",
       "    time_coverage_duration:             P51M5S\n",
       "    time_coverage_resolution:           P1S\n",
       "    geospatial_lon_min:                 0.0004177715185490845\n",
       "    geospatial_lon_max:                 359.99990311987733\n",
       "    geospatial_lat_min:                 -78.29180400220362\n",
       "    geospatial_lat_max:                 78.29230999607833\n",
       "    left_first_longitude:               221.87992847033166\n",
       "    left_first_latitude:                -78.29180400220362\n",
       "    left_last_longitude:                29.008258972514415\n",
       "    left_last_latitude:                 77.03326000364758\n",
       "    right_first_longitude:              221.87102950312362\n",
       "    right_first_latitude:               -77.03275524812338\n",
       "    right_last_longitude:               29.01153278903159\n",
       "    right_last_latitude:                78.29230999607833\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-b0466941-963b-4266-9e97-f5484febe890' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b0466941-963b-4266-9e97-f5484febe890' 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>: 104</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-dfbe5c85-9a9b-42fc-a0d4-8e38d1cd1a95' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dfbe5c85-9a9b-42fc-a0d4-8e38d1cd1a95' 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'>-78.29 -78.27 ... 78.21 78.23</div><input id='attrs-469073af-72ad-4265-b36f-658255f8fbc3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-469073af-72ad-4265-b36f-658255f8fbc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-529a1c21-3f4c-449c-93c6-69b8e73571cd' class='xr-var-data-in' type='checkbox'><label for='data-529a1c21-3f4c-449c-93c6-69b8e73571cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude (positive N, negative S)</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_min :</span></dt><dd>-80000000</dd><dt><span>valid_max :</span></dt><dd>80000000</dd><dt><span>comment :</span></dt><dd>Latitude of measurement [-80,80]. Positive latitude is North latitude, negative latitude is South latitude.</dd></dl></div><div class='xr-var-data'><pre>array([[-78.291322, -78.273336, -78.25535 , ..., -77.068291, -77.050305,\n",
       "        -77.032319],\n",
       "       [-78.291144, -78.273158, -78.255173, ..., -77.068129, -77.050144,\n",
       "        -77.032158],\n",
       "       [-78.290938, -78.272953, -78.254968, ..., -77.067943, -77.049958,\n",
       "        -77.031972],\n",
       "       ...,\n",
       "       [ 76.982438,  77.000355,  77.018271, ...,  78.200317,  78.218219,\n",
       "         78.236121],\n",
       "       [ 76.980847,  76.998762,  77.016677, ...,  78.198565,  78.216464,\n",
       "         78.234364],\n",
       "       [ 76.979232,  76.997145,  77.015057, ...,  78.196786,  78.214683,\n",
       "         78.23258 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>222.3 222.3 222.3 ... 240.4 240.4</div><input id='attrs-780d9457-041d-4bdf-a08a-99f58bb359a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-780d9457-041d-4bdf-a08a-99f58bb359a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b784d1e-02cc-4f56-8981-ae5389010c36' class='xr-var-data-in' type='checkbox'><label for='data-0b784d1e-02cc-4f56-8981-ae5389010c36' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude (degrees East)</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>359999999</dd><dt><span>comment :</span></dt><dd>Longitude of measurement. East longitude relative to Greenwich meridian.</dd></dl></div><div class='xr-var-data'><pre>array([[222.323067, 222.322258, 222.321451, ..., 222.273106, 222.272441,\n",
       "        222.271778],\n",
       "       [222.411688, 222.410745, 222.409805, ..., 222.353471, 222.352695,\n",
       "        222.351922],\n",
       "       [222.500306, 222.499229, 222.498156, ..., 222.433832, 222.432947,\n",
       "        222.432064],\n",
       "       ...,\n",
       "       [239.654899, 239.661915, 239.668951, ..., 240.179729, 240.188244,\n",
       "        240.196784],\n",
       "       [239.734427, 239.741551, 239.748694, ..., 240.267257, 240.275901,\n",
       "        240.284572],\n",
       "       [239.813937, 239.821168, 239.828418, ..., 240.354759, 240.363533,\n",
       "        240.372333]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5be6c05f-e5a7-471a-92fb-8ec544c8819b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5be6c05f-e5a7-471a-92fb-8ec544c8819b' 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'>2010-06-03T04:21:24.011726976 .....</div><input id='attrs-0898449f-e2cb-4d0b-8b95-060bafc8f253' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0898449f-e2cb-4d0b-8b95-060bafc8f253' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a01b365-d978-4ef1-9175-174270c447dd' class='xr-var-data-in' type='checkbox'><label for='data-3a01b365-d978-4ef1-9175-174270c447dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>array([&#x27;2010-06-03T04:21:24.011726976&#x27;, &#x27;2010-06-03T04:21:24.325312960&#x27;,\n",
       "       &#x27;2010-06-03T04:21:24.638899968&#x27;, &#x27;2010-06-03T04:21:24.952488960&#x27;,\n",
       "       &#x27;2010-06-03T04:21:25.266079936&#x27;, &#x27;2010-06-03T04:21:25.579672000&#x27;,\n",
       "       &#x27;2010-06-03T04:21:25.893265984&#x27;, &#x27;2010-06-03T04:21:26.206860928&#x27;,\n",
       "       &#x27;2010-06-03T04:21:26.520457984&#x27;, &#x27;2010-06-03T04:21:26.834057984&#x27;,\n",
       "       &#x27;2010-06-03T04:21:27.147657984&#x27;, &#x27;2010-06-03T04:21:27.461260992&#x27;,\n",
       "       &#x27;2010-06-03T04:21:27.774867008&#x27;, &#x27;2010-06-03T04:21:28.088472960&#x27;,\n",
       "       &#x27;2010-06-03T04:21:28.402083008&#x27;, &#x27;2010-06-03T04:21:28.715694976&#x27;,\n",
       "       &#x27;2010-06-03T04:21:29.029307968&#x27;, &#x27;2010-06-03T04:21:29.342924992&#x27;,\n",
       "       &#x27;2010-06-03T04:21:29.656542976&#x27;, &#x27;2010-06-03T04:21:29.970164032&#x27;,\n",
       "       &#x27;2010-06-03T04:21:30.283787968&#x27;, &#x27;2010-06-03T04:21:30.597413952&#x27;,\n",
       "       &#x27;2010-06-03T04:21:30.911043008&#x27;, &#x27;2010-06-03T04:21:31.224675008&#x27;,\n",
       "       &#x27;2010-06-03T04:21:31.538308992&#x27;, &#x27;2010-06-03T04:21:31.851947008&#x27;,\n",
       "       &#x27;2010-06-03T04:21:34.988206976&#x27;, &#x27;2010-06-03T04:21:35.301817984&#x27;,\n",
       "       &#x27;2010-06-03T04:21:35.615428992&#x27;, &#x27;2010-06-03T04:21:35.929035968&#x27;,\n",
       "       &#x27;2010-06-03T04:21:36.242640960&#x27;, &#x27;2010-06-03T04:21:36.556243968&#x27;,\n",
       "       &#x27;2010-06-03T04:21:36.869844992&#x27;, &#x27;2010-06-03T04:21:37.183443968&#x27;,\n",
       "       &#x27;2010-06-03T04:21:37.497040960&#x27;, &#x27;2010-06-03T04:21:37.810635968&#x27;,\n",
       "       &#x27;2010-06-03T04:21:38.124228992&#x27;, &#x27;2010-06-03T04:21:38.437820992&#x27;,\n",
       "       &#x27;2010-06-03T04:21:38.751409984&#x27;, &#x27;2010-06-03T04:21:39.064998976&#x27;,\n",
       "...\n",
       "       &#x27;2010-07-06T10:16:06.490508992&#x27;, &#x27;2010-07-06T10:16:06.802753984&#x27;,\n",
       "       &#x27;2010-07-06T10:16:07.114998976&#x27;, &#x27;2010-07-06T10:16:07.427243008&#x27;,\n",
       "       &#x27;2010-07-06T10:16:07.739484992&#x27;, &#x27;2010-07-06T10:16:08.051726976&#x27;,\n",
       "       &#x27;2010-07-06T10:16:08.363968000&#x27;, &#x27;2010-07-06T10:16:08.676207936&#x27;,\n",
       "       &#x27;2010-07-06T10:16:08.988447040&#x27;, &#x27;2010-07-06T10:16:09.300686016&#x27;,\n",
       "       &#x27;2010-07-06T10:16:09.612923968&#x27;, &#x27;2010-07-06T10:16:09.925161024&#x27;,\n",
       "       &#x27;2010-07-06T10:16:13.047518976&#x27;, &#x27;2010-07-06T10:16:13.359753984&#x27;,\n",
       "       &#x27;2010-07-06T10:16:13.671988992&#x27;, &#x27;2010-07-06T10:16:13.984224960&#x27;,\n",
       "       &#x27;2010-07-06T10:16:14.296460992&#x27;, &#x27;2010-07-06T10:16:14.608697984&#x27;,\n",
       "       &#x27;2010-07-06T10:16:14.920933952&#x27;, &#x27;2010-07-06T10:16:15.233171968&#x27;,\n",
       "       &#x27;2010-07-06T10:16:15.545409984&#x27;, &#x27;2010-07-06T10:16:15.857647936&#x27;,\n",
       "       &#x27;2010-07-06T10:16:16.169886976&#x27;, &#x27;2010-07-06T10:16:16.482127040&#x27;,\n",
       "       &#x27;2010-07-06T10:16:16.794368000&#x27;, &#x27;2010-07-06T10:16:17.106608960&#x27;,\n",
       "       &#x27;2010-07-06T10:16:17.418851968&#x27;, &#x27;2010-07-06T10:16:17.731094976&#x27;,\n",
       "       &#x27;2010-07-06T10:16:18.043339968&#x27;, &#x27;2010-07-06T10:16:18.355584960&#x27;,\n",
       "       &#x27;2010-07-06T10:16:18.667831936&#x27;, &#x27;2010-07-06T10:16:18.980080000&#x27;,\n",
       "       &#x27;2010-07-06T10:16:19.292329024&#x27;, &#x27;2010-07-06T10:16:19.604579968&#x27;,\n",
       "       &#x27;2010-07-06T10:16:19.916832000&#x27;, &#x27;2010-07-06T10:16:20.229084992&#x27;,\n",
       "       &#x27;2010-07-06T10:16:20.541339968&#x27;, &#x27;2010-07-06T10:16:20.853596992&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssh_karin</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-2a784991-6490-48ec-9be7-b9f0b10f8736' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a784991-6490-48ec-9be7-b9f0b10f8736' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e5df241-af56-41e5-b476-e7cb21542366' class='xr-var-data-in' type='checkbox'><label for='data-7e5df241-af56-41e5-b476-e7cb21542366' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></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'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-9c7928f9-ffee-425a-b846-62babaa751b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c7928f9-ffee-425a-b846-62babaa751b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8021694e-525a-4df2-a71e-f088cc9ad3ec' class='xr-var-data-in' type='checkbox'><label for='data-8021694e-525a-4df2-a71e-f088cc9ad3ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></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'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-6b9e94e4-7a75-407f-b702-d3a77c9f01fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b9e94e4-7a75-407f-b702-d3a77c9f01fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77436129-1177-453e-a444-574a3a61de0b' class='xr-var-data-in' type='checkbox'><label for='data-77436129-1177-453e-a444-574a3a61de0b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></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'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-ce6d0208-dcac-4b86-a79c-3671b58816e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce6d0208-dcac-4b86-a79c-3671b58816e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4784ee54-c1d6-44ce-ac33-f44554079c14' class='xr-var-data-in' type='checkbox'><label for='data-4784ee54-c1d6-44ce-ac33-f44554079c14' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></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'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-0f477441-e567-4233-8b66-6aa9725492fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f477441-e567-4233-8b66-6aa9725492fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91647c8f-e158-44da-b4fd-3a7a18096b79' class='xr-var-data-in' type='checkbox'><label for='data-91647c8f-e158-44da-b4fd-3a7a18096b79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></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'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-647387f3-9c5a-48a2-8617-68b3896f4e93' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-647387f3-9c5a-48a2-8617-68b3896f4e93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4436b0bb-d4f8-4924-8ef9-c407de376321' class='xr-var-data-in' type='checkbox'><label for='data-4436b0bb-d4f8-4924-8ef9-c407de376321' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></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'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-5b2304eb-9339-48d1-88b2-27e87c046861' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b2304eb-9339-48d1-88b2-27e87c046861' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91847381-b459-45e9-99de-572194527e6b' class='xr-var-data-in' type='checkbox'><label for='data-91847381-b459-45e9-99de-572194527e6b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></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'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-fd2779cb-a325-41a6-9f89-380d6b81809d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd2779cb-a325-41a6-9f89-380d6b81809d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c861b366-8f52-4b51-a3db-ca3795a888ac' class='xr-var-data-in' type='checkbox'><label for='data-c861b366-8f52-4b51-a3db-ca3795a888ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><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'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ad129768-3753-4325-914b-c07df6a958e6' class='xr-section-summary-in' type='checkbox'  ><label for='section-ad129768-3753-4325-914b-c07df6a958e6' 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>2020-07-23 11:24:42 : 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>341</dd><dt><span>pass_number :</span></dt><dd>11</dd><dt><span>time_coverage_start :</span></dt><dd>2010-06-03T04:21:22.443817Z</dd><dt><span>time_coverage_end :</span></dt><dd>2010-06-03T05:12:28.037054Z</dd><dt><span>time_coverage_duration :</span></dt><dd>P51M5S</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1S</dd><dt><span>geospatial_lon_min :</span></dt><dd>0.0004177715185490845</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.99990311987733</dd><dt><span>geospatial_lat_min :</span></dt><dd>-78.29180400220362</dd><dt><span>geospatial_lat_max :</span></dt><dd>78.29230999607833</dd><dt><span>left_first_longitude :</span></dt><dd>221.87992847033166</dd><dt><span>left_first_latitude :</span></dt><dd>-78.29180400220362</dd><dt><span>left_last_longitude :</span></dt><dd>29.008258972514415</dd><dt><span>left_last_latitude :</span></dt><dd>77.03326000364758</dd><dt><span>right_first_longitude :</span></dt><dd>221.87102950312362</dd><dt><span>right_first_latitude :</span></dt><dd>-77.03275524812338</dd><dt><span>right_last_longitude :</span></dt><dd>29.01153278903159</dd><dt><span>right_last_latitude :</span></dt><dd>78.29230999607833</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: 104, num_pixels: 71)\n",
       "Coordinates:\n",
       "    latitude               (num_lines, num_pixels) float64 -78.29 ... 78.23\n",
       "    longitude              (num_lines, num_pixels) float64 222.3 222.3 ... 240.4\n",
       "Dimensions without coordinates: num_lines, num_pixels\n",
       "Data variables:\n",
       "    time                   (num_lines) datetime64[ns] 2010-06-03T04:21:24.011...\n",
       "    ssh_karin              (num_lines, num_pixels) float64 nan nan ... nan nan\n",
       "    err_phase              (num_lines, num_pixels) float64 nan nan ... nan nan\n",
       "    err_wet_troposphere    (num_lines, num_pixels) float64 nan nan ... nan nan\n",
       "    err_roll               (num_lines, num_pixels) float64 nan nan ... nan nan\n",
       "    err_timing             (num_lines, num_pixels) float64 nan nan ... nan nan\n",
       "    err_karin              (num_lines, num_pixels) float64 nan nan ... nan nan\n",
       "    ssh_karin_true         (num_lines, num_pixels) float64 nan nan ... nan nan\n",
       "    err_baseline_dilation  (num_lines, num_pixels) float64 nan nan ... nan nan\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:                            2020-07-23 11:24:42 : 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:                       341\n",
       "    pass_number:                        11\n",
       "    time_coverage_start:                2010-06-03T04:21:22.443817Z\n",
       "    time_coverage_end:                  2010-06-03T05:12:28.037054Z\n",
       "    time_coverage_duration:             P51M5S\n",
       "    time_coverage_resolution:           P1S\n",
       "    geospatial_lon_min:                 0.0004177715185490845\n",
       "    geospatial_lon_max:                 359.99990311987733\n",
       "    geospatial_lat_min:                 -78.29180400220362\n",
       "    geospatial_lat_max:                 78.29230999607833\n",
       "    left_first_longitude:               221.87992847033166\n",
       "    left_first_latitude:                -78.29180400220362\n",
       "    left_last_longitude:                29.008258972514415\n",
       "    left_last_latitude:                 77.03326000364758\n",
       "    right_first_longitude:              221.87102950312362\n",
       "    right_first_latitude:               -77.03275524812338\n",
       "    right_last_longitude:               29.01153278903159\n",
       "    right_last_latitude:                78.29230999607833\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": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_regnonan_all"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;time&#x27; (num_lines: 104)&gt;\n",
       "array([&#x27;2010-06-03T04:21:24.011726976&#x27;, &#x27;2010-06-03T04:21:24.325312960&#x27;,\n",
       "       &#x27;2010-06-03T04:21:24.638899968&#x27;, &#x27;2010-06-03T04:21:24.952488960&#x27;,\n",
       "       &#x27;2010-06-03T04:21:25.266079936&#x27;, &#x27;2010-06-03T04:21:25.579672000&#x27;,\n",
       "       &#x27;2010-06-03T04:21:25.893265984&#x27;, &#x27;2010-06-03T04:21:26.206860928&#x27;,\n",
       "       &#x27;2010-06-03T04:21:26.520457984&#x27;, &#x27;2010-06-03T04:21:26.834057984&#x27;,\n",
       "       &#x27;2010-06-03T04:21:27.147657984&#x27;, &#x27;2010-06-03T04:21:27.461260992&#x27;,\n",
       "       &#x27;2010-06-03T04:21:27.774867008&#x27;, &#x27;2010-06-03T04:21:28.088472960&#x27;,\n",
       "       &#x27;2010-06-03T04:21:28.402083008&#x27;, &#x27;2010-06-03T04:21:28.715694976&#x27;,\n",
       "       &#x27;2010-06-03T04:21:29.029307968&#x27;, &#x27;2010-06-03T04:21:29.342924992&#x27;,\n",
       "       &#x27;2010-06-03T04:21:29.656542976&#x27;, &#x27;2010-06-03T04:21:29.970164032&#x27;,\n",
       "       &#x27;2010-06-03T04:21:30.283787968&#x27;, &#x27;2010-06-03T04:21:30.597413952&#x27;,\n",
       "       &#x27;2010-06-03T04:21:30.911043008&#x27;, &#x27;2010-06-03T04:21:31.224675008&#x27;,\n",
       "       &#x27;2010-06-03T04:21:31.538308992&#x27;, &#x27;2010-06-03T04:21:31.851947008&#x27;,\n",
       "       &#x27;2010-06-03T04:21:34.988206976&#x27;, &#x27;2010-06-03T04:21:35.301817984&#x27;,\n",
       "       &#x27;2010-06-03T04:21:35.615428992&#x27;, &#x27;2010-06-03T04:21:35.929035968&#x27;,\n",
       "       &#x27;2010-06-03T04:21:36.242640960&#x27;, &#x27;2010-06-03T04:21:36.556243968&#x27;,\n",
       "       &#x27;2010-06-03T04:21:36.869844992&#x27;, &#x27;2010-06-03T04:21:37.183443968&#x27;,\n",
       "       &#x27;2010-06-03T04:21:37.497040960&#x27;, &#x27;2010-06-03T04:21:37.810635968&#x27;,\n",
       "       &#x27;2010-06-03T04:21:38.124228992&#x27;, &#x27;2010-06-03T04:21:38.437820992&#x27;,\n",
       "       &#x27;2010-06-03T04:21:38.751409984&#x27;, &#x27;2010-06-03T04:21:39.064998976&#x27;,\n",
       "...\n",
       "       &#x27;2010-07-06T10:16:06.490508992&#x27;, &#x27;2010-07-06T10:16:06.802753984&#x27;,\n",
       "       &#x27;2010-07-06T10:16:07.114998976&#x27;, &#x27;2010-07-06T10:16:07.427243008&#x27;,\n",
       "       &#x27;2010-07-06T10:16:07.739484992&#x27;, &#x27;2010-07-06T10:16:08.051726976&#x27;,\n",
       "       &#x27;2010-07-06T10:16:08.363968000&#x27;, &#x27;2010-07-06T10:16:08.676207936&#x27;,\n",
       "       &#x27;2010-07-06T10:16:08.988447040&#x27;, &#x27;2010-07-06T10:16:09.300686016&#x27;,\n",
       "       &#x27;2010-07-06T10:16:09.612923968&#x27;, &#x27;2010-07-06T10:16:09.925161024&#x27;,\n",
       "       &#x27;2010-07-06T10:16:13.047518976&#x27;, &#x27;2010-07-06T10:16:13.359753984&#x27;,\n",
       "       &#x27;2010-07-06T10:16:13.671988992&#x27;, &#x27;2010-07-06T10:16:13.984224960&#x27;,\n",
       "       &#x27;2010-07-06T10:16:14.296460992&#x27;, &#x27;2010-07-06T10:16:14.608697984&#x27;,\n",
       "       &#x27;2010-07-06T10:16:14.920933952&#x27;, &#x27;2010-07-06T10:16:15.233171968&#x27;,\n",
       "       &#x27;2010-07-06T10:16:15.545409984&#x27;, &#x27;2010-07-06T10:16:15.857647936&#x27;,\n",
       "       &#x27;2010-07-06T10:16:16.169886976&#x27;, &#x27;2010-07-06T10:16:16.482127040&#x27;,\n",
       "       &#x27;2010-07-06T10:16:16.794368000&#x27;, &#x27;2010-07-06T10:16:17.106608960&#x27;,\n",
       "       &#x27;2010-07-06T10:16:17.418851968&#x27;, &#x27;2010-07-06T10:16:17.731094976&#x27;,\n",
       "       &#x27;2010-07-06T10:16:18.043339968&#x27;, &#x27;2010-07-06T10:16:18.355584960&#x27;,\n",
       "       &#x27;2010-07-06T10:16:18.667831936&#x27;, &#x27;2010-07-06T10:16:18.980080000&#x27;,\n",
       "       &#x27;2010-07-06T10:16:19.292329024&#x27;, &#x27;2010-07-06T10:16:19.604579968&#x27;,\n",
       "       &#x27;2010-07-06T10:16:19.916832000&#x27;, &#x27;2010-07-06T10:16:20.229084992&#x27;,\n",
       "       &#x27;2010-07-06T10:16:20.541339968&#x27;, &#x27;2010-07-06T10:16:20.853596992&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)\n",
       "Dimensions without coordinates: num_lines\n",
       "Attributes:\n",
       "    long_name:           time in UTC\n",
       "    standard_name:       time\n",
       "    tai_utc_difference:  [Value of TAI-UTC at time of first record]\n",
       "    leap_second:         YYYY-MM-DD hh:mm:ss\n",
       "    comment:             Time of measurement in seconds in the UTC time scale...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'time'</div><ul class='xr-dim-list'><li><span>num_lines</span>: 104</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-fc36b368-27f4-4149-9fc9-0b065f4c0cd3' class='xr-array-in' type='checkbox' checked><label for='section-fc36b368-27f4-4149-9fc9-0b065f4c0cd3' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2010-06-03T04:21:24.011726976 ... 2010-07-06T10:16:20.853596992</span></div><div class='xr-array-data'><pre>array([&#x27;2010-06-03T04:21:24.011726976&#x27;, &#x27;2010-06-03T04:21:24.325312960&#x27;,\n",
       "       &#x27;2010-06-03T04:21:24.638899968&#x27;, &#x27;2010-06-03T04:21:24.952488960&#x27;,\n",
       "       &#x27;2010-06-03T04:21:25.266079936&#x27;, &#x27;2010-06-03T04:21:25.579672000&#x27;,\n",
       "       &#x27;2010-06-03T04:21:25.893265984&#x27;, &#x27;2010-06-03T04:21:26.206860928&#x27;,\n",
       "       &#x27;2010-06-03T04:21:26.520457984&#x27;, &#x27;2010-06-03T04:21:26.834057984&#x27;,\n",
       "       &#x27;2010-06-03T04:21:27.147657984&#x27;, &#x27;2010-06-03T04:21:27.461260992&#x27;,\n",
       "       &#x27;2010-06-03T04:21:27.774867008&#x27;, &#x27;2010-06-03T04:21:28.088472960&#x27;,\n",
       "       &#x27;2010-06-03T04:21:28.402083008&#x27;, &#x27;2010-06-03T04:21:28.715694976&#x27;,\n",
       "       &#x27;2010-06-03T04:21:29.029307968&#x27;, &#x27;2010-06-03T04:21:29.342924992&#x27;,\n",
       "       &#x27;2010-06-03T04:21:29.656542976&#x27;, &#x27;2010-06-03T04:21:29.970164032&#x27;,\n",
       "       &#x27;2010-06-03T04:21:30.283787968&#x27;, &#x27;2010-06-03T04:21:30.597413952&#x27;,\n",
       "       &#x27;2010-06-03T04:21:30.911043008&#x27;, &#x27;2010-06-03T04:21:31.224675008&#x27;,\n",
       "       &#x27;2010-06-03T04:21:31.538308992&#x27;, &#x27;2010-06-03T04:21:31.851947008&#x27;,\n",
       "       &#x27;2010-06-03T04:21:34.988206976&#x27;, &#x27;2010-06-03T04:21:35.301817984&#x27;,\n",
       "       &#x27;2010-06-03T04:21:35.615428992&#x27;, &#x27;2010-06-03T04:21:35.929035968&#x27;,\n",
       "       &#x27;2010-06-03T04:21:36.242640960&#x27;, &#x27;2010-06-03T04:21:36.556243968&#x27;,\n",
       "       &#x27;2010-06-03T04:21:36.869844992&#x27;, &#x27;2010-06-03T04:21:37.183443968&#x27;,\n",
       "       &#x27;2010-06-03T04:21:37.497040960&#x27;, &#x27;2010-06-03T04:21:37.810635968&#x27;,\n",
       "       &#x27;2010-06-03T04:21:38.124228992&#x27;, &#x27;2010-06-03T04:21:38.437820992&#x27;,\n",
       "       &#x27;2010-06-03T04:21:38.751409984&#x27;, &#x27;2010-06-03T04:21:39.064998976&#x27;,\n",
       "...\n",
       "       &#x27;2010-07-06T10:16:06.490508992&#x27;, &#x27;2010-07-06T10:16:06.802753984&#x27;,\n",
       "       &#x27;2010-07-06T10:16:07.114998976&#x27;, &#x27;2010-07-06T10:16:07.427243008&#x27;,\n",
       "       &#x27;2010-07-06T10:16:07.739484992&#x27;, &#x27;2010-07-06T10:16:08.051726976&#x27;,\n",
       "       &#x27;2010-07-06T10:16:08.363968000&#x27;, &#x27;2010-07-06T10:16:08.676207936&#x27;,\n",
       "       &#x27;2010-07-06T10:16:08.988447040&#x27;, &#x27;2010-07-06T10:16:09.300686016&#x27;,\n",
       "       &#x27;2010-07-06T10:16:09.612923968&#x27;, &#x27;2010-07-06T10:16:09.925161024&#x27;,\n",
       "       &#x27;2010-07-06T10:16:13.047518976&#x27;, &#x27;2010-07-06T10:16:13.359753984&#x27;,\n",
       "       &#x27;2010-07-06T10:16:13.671988992&#x27;, &#x27;2010-07-06T10:16:13.984224960&#x27;,\n",
       "       &#x27;2010-07-06T10:16:14.296460992&#x27;, &#x27;2010-07-06T10:16:14.608697984&#x27;,\n",
       "       &#x27;2010-07-06T10:16:14.920933952&#x27;, &#x27;2010-07-06T10:16:15.233171968&#x27;,\n",
       "       &#x27;2010-07-06T10:16:15.545409984&#x27;, &#x27;2010-07-06T10:16:15.857647936&#x27;,\n",
       "       &#x27;2010-07-06T10:16:16.169886976&#x27;, &#x27;2010-07-06T10:16:16.482127040&#x27;,\n",
       "       &#x27;2010-07-06T10:16:16.794368000&#x27;, &#x27;2010-07-06T10:16:17.106608960&#x27;,\n",
       "       &#x27;2010-07-06T10:16:17.418851968&#x27;, &#x27;2010-07-06T10:16:17.731094976&#x27;,\n",
       "       &#x27;2010-07-06T10:16:18.043339968&#x27;, &#x27;2010-07-06T10:16:18.355584960&#x27;,\n",
       "       &#x27;2010-07-06T10:16:18.667831936&#x27;, &#x27;2010-07-06T10:16:18.980080000&#x27;,\n",
       "       &#x27;2010-07-06T10:16:19.292329024&#x27;, &#x27;2010-07-06T10:16:19.604579968&#x27;,\n",
       "       &#x27;2010-07-06T10:16:19.916832000&#x27;, &#x27;2010-07-06T10:16:20.229084992&#x27;,\n",
       "       &#x27;2010-07-06T10:16:20.541339968&#x27;, &#x27;2010-07-06T10:16:20.853596992&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></div></li><li class='xr-section-item'><input id='section-9773eb1f-43f2-471d-a5eb-e737beb2b864' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9773eb1f-43f2-471d-a5eb-e737beb2b864' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e753a309-566d-4a7a-9818-48ea2319c8ca' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e753a309-566d-4a7a-9818-48ea2319c8ca' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><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></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'time' (num_lines: 104)>\n",
       "array(['2010-06-03T04:21:24.011726976', '2010-06-03T04:21:24.325312960',\n",
       "       '2010-06-03T04:21:24.638899968', '2010-06-03T04:21:24.952488960',\n",
       "       '2010-06-03T04:21:25.266079936', '2010-06-03T04:21:25.579672000',\n",
       "       '2010-06-03T04:21:25.893265984', '2010-06-03T04:21:26.206860928',\n",
       "       '2010-06-03T04:21:26.520457984', '2010-06-03T04:21:26.834057984',\n",
       "       '2010-06-03T04:21:27.147657984', '2010-06-03T04:21:27.461260992',\n",
       "       '2010-06-03T04:21:27.774867008', '2010-06-03T04:21:28.088472960',\n",
       "       '2010-06-03T04:21:28.402083008', '2010-06-03T04:21:28.715694976',\n",
       "       '2010-06-03T04:21:29.029307968', '2010-06-03T04:21:29.342924992',\n",
       "       '2010-06-03T04:21:29.656542976', '2010-06-03T04:21:29.970164032',\n",
       "       '2010-06-03T04:21:30.283787968', '2010-06-03T04:21:30.597413952',\n",
       "       '2010-06-03T04:21:30.911043008', '2010-06-03T04:21:31.224675008',\n",
       "       '2010-06-03T04:21:31.538308992', '2010-06-03T04:21:31.851947008',\n",
       "       '2010-06-03T04:21:34.988206976', '2010-06-03T04:21:35.301817984',\n",
       "       '2010-06-03T04:21:35.615428992', '2010-06-03T04:21:35.929035968',\n",
       "       '2010-06-03T04:21:36.242640960', '2010-06-03T04:21:36.556243968',\n",
       "       '2010-06-03T04:21:36.869844992', '2010-06-03T04:21:37.183443968',\n",
       "       '2010-06-03T04:21:37.497040960', '2010-06-03T04:21:37.810635968',\n",
       "       '2010-06-03T04:21:38.124228992', '2010-06-03T04:21:38.437820992',\n",
       "       '2010-06-03T04:21:38.751409984', '2010-06-03T04:21:39.064998976',\n",
       "...\n",
       "       '2010-07-06T10:16:06.490508992', '2010-07-06T10:16:06.802753984',\n",
       "       '2010-07-06T10:16:07.114998976', '2010-07-06T10:16:07.427243008',\n",
       "       '2010-07-06T10:16:07.739484992', '2010-07-06T10:16:08.051726976',\n",
       "       '2010-07-06T10:16:08.363968000', '2010-07-06T10:16:08.676207936',\n",
       "       '2010-07-06T10:16:08.988447040', '2010-07-06T10:16:09.300686016',\n",
       "       '2010-07-06T10:16:09.612923968', '2010-07-06T10:16:09.925161024',\n",
       "       '2010-07-06T10:16:13.047518976', '2010-07-06T10:16:13.359753984',\n",
       "       '2010-07-06T10:16:13.671988992', '2010-07-06T10:16:13.984224960',\n",
       "       '2010-07-06T10:16:14.296460992', '2010-07-06T10:16:14.608697984',\n",
       "       '2010-07-06T10:16:14.920933952', '2010-07-06T10:16:15.233171968',\n",
       "       '2010-07-06T10:16:15.545409984', '2010-07-06T10:16:15.857647936',\n",
       "       '2010-07-06T10:16:16.169886976', '2010-07-06T10:16:16.482127040',\n",
       "       '2010-07-06T10:16:16.794368000', '2010-07-06T10:16:17.106608960',\n",
       "       '2010-07-06T10:16:17.418851968', '2010-07-06T10:16:17.731094976',\n",
       "       '2010-07-06T10:16:18.043339968', '2010-07-06T10:16:18.355584960',\n",
       "       '2010-07-06T10:16:18.667831936', '2010-07-06T10:16:18.980080000',\n",
       "       '2010-07-06T10:16:19.292329024', '2010-07-06T10:16:19.604579968',\n",
       "       '2010-07-06T10:16:19.916832000', '2010-07-06T10:16:20.229084992',\n",
       "       '2010-07-06T10:16:20.541339968', '2010-07-06T10:16:20.853596992'],\n",
       "      dtype='datetime64[ns]')\n",
       "Dimensions without coordinates: num_lines\n",
       "Attributes:\n",
       "    long_name:           time in UTC\n",
       "    standard_name:       time\n",
       "    tai_utc_difference:  [Value of TAI-UTC at time of first record]\n",
       "    leap_second:         YYYY-MM-DD hh:mm:ss\n",
       "    comment:             Time of measurement in seconds in the UTC time scale..."
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_regnonan_all.time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for f in np.arange(len(files)):\n",
    "    file=files[f]\n",
    "    check, ind_region = check_data_region(file,latmin,latmax,lonmin,lonmax)\n",
    "    if check == 1:\n",
    "        check2,isdata = check_data_nonan(file,ind_region)\n",
    "        if check2 == 1:\n",
    "            print('extract data for file '+file)\n",
    "            ds_one=ds_profiles.isel(N_PROF=nprof)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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