04_EMODnet_data.ipynb

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    "# EMODnet data\n",
    "\n",
    "So far we have only run queries against the VOTO ERDDAP. This notebook demonstrates some datasets from the [EMODnet ERDDAP](https://erddap.emodnet-physics.eu/erddap/info/index.html)."
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    "from erddapy import ERDDAP\n",
    "import json\n",
    "import xarray as xr\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd"
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    "### Specify server and protocol\n",
    "\n",
    "We will start with tabledap data. These datasets are timeseries, like the glider we have worked with so far"
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    "We will first use an arice dataset from the EMODnet ERDDAP"
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       "0      ARICE_de_pangaea_dataset929244\n",
       "1      ARICE_de_pangaea_dataset929245\n",
       "2      ARICE_de_pangaea_dataset929251\n",
       "3      ARICE_de_pangaea_dataset935212\n",
       "4      ARICE_de_pangaea_dataset935214\n",
       "                    ...              \n",
       "190    ARICE_de_pangaea_dataset856082\n",
       "191    ARICE_de_pangaea_dataset856083\n",
       "192    ARICE_de_pangaea_dataset861441\n",
       "193    ARICE_de_pangaea_dataset864247\n",
       "194    ARICE_de_pangaea_dataset864248\n",
       "Name: Dataset ID, Length: 195, dtype: object"
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    "e = ERDDAP(\n",
    "    server=\"https://erddap.emodnet-physics.eu/erddap\",\n",
    "    protocol=\"tabledap\",\n",
    ")\n",
    "url = e.get_search_url(search_for=\"ARICE_de_pangaea\", response=\"csv\")\n",
    "df = pd.read_csv(url)\n",
    "df[\"Dataset ID\"]"
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      "/home/callum/anaconda3/envs/erddapdemo_old/lib/python3.10/site-packages/xarray/conventions.py:427: SerializationWarning: variable 'Visib' has multiple fill values {9.969209968386869e+36, 9999.0}, decoding all values to NaN.\n",
      "  new_vars[k] = decode_cf_variable(\n"
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   "source": [
    "e.dataset_id = df[\"Dataset ID\"][0]\n",
    "ds_arice = e.to_xarray()"
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:      (row: 33851)\n",
       "Coordinates:\n",
       "    altitude     (row) float64 ...\n",
       "    time         (row) datetime64[ns] ...\n",
       "    latitude     (row) float64 ...\n",
       "    longitude    (row) float64 ...\n",
       "Dimensions without coordinates: row\n",
       "Data variables: (12/20)\n",
       "    Ceil         (row) float32 ...\n",
       "    Course       (row) float64 ...\n",
       "    Bathy_depth  (row) float64 ...\n",
       "    DEWT         (row) float64 ...\n",
       "    Elevation    (row) float64 ...\n",
       "    Head         (row) float64 ...\n",
       "    ...           ...\n",
       "    Visib        (row) float64 ...\n",
       "    RelWindDir   (row) float64 ...\n",
       "    WDIR         (row) float64 ...\n",
       "    RelWindGust  (row) float64 ...\n",
       "    RelWindSp    (row) float64 ...\n",
       "    WSPD         (row) float64 ...\n",
       "Attributes: (12/42)\n",
       "    abstract:                      The meteorological observatory Polarstern ...\n",
       "    authors:                       Schmithüsen, Holger\n",
       "    cdm_data_type:                 Point\n",
       "    citation:                      Schmithüsen, Holger (2021): Continuous met...\n",
       "    contact:                       holger.schmithuesen@awi.de\n",
       "    Conventions:                   COARDS, CF-1.6, ACDD-1.3\n",
       "    ...                            ...\n",
       "    time_coverage_end:             2018-08-03T05:59:00Z\n",
       "    time_coverage_start:           2018-07-10T06:00:00Z\n",
       "    title:                         Continuous meteorological surface measurem...\n",
       "    uuid:                          9eed929d-eff1-46bf-804f-0bbc5418d403\n",
       "    Westernmost_Easting:           -17.8766\n",
       "    year:                          2021</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e19b7a35-e24e-44cf-b293-260eed1660b6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e19b7a35-e24e-44cf-b293-260eed1660b6' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>row</span>: 33851</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d828d3d5-6acb-4ca4-a96f-0ca6d9fe35fd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d828d3d5-6acb-4ca4-a96f-0ca6d9fe35fd' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>altitude</span></div><div class='xr-var-dims'>(row)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-26b34951-9f6c-41c5-8cd3-864ca1aa93e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-26b34951-9f6c-41c5-8cd3-864ca1aa93e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50b67c8c-a3e3-43fd-abbf-b4062e937e20' class='xr-var-data-in' type='checkbox'><label for='data-50b67c8c-a3e3-43fd-abbf-b4062e937e20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_CoordinateAxisType :</span></dt><dd>Height</dd><dt><span>_CoordinateZisPositive :</span></dt><dd>up</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>ioos_category :</span></dt><dd>Location</dd><dt><span>long_name :</span></dt><dd>Altitude</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>shortName :</span></dt><dd>Altitude</dd><dt><span>standard_name :</span></dt><dd>altitude</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[33851 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(row)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-459afe48-942d-43b5-9ff9-848da7a10c86' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-459afe48-942d-43b5-9ff9-848da7a10c86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc50fa72-f7fc-48a2-8c5a-13f2e2bd4f95' class='xr-var-data-in' type='checkbox'><label for='data-cc50fa72-f7fc-48a2-8c5a-13f2e2bd4f95' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_CoordinateAxisType :</span></dt><dd>Time</dd><dt><span>actual_range :</span></dt><dd>[1.53120240e+09 1.53327594e+09]</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>ioos_category :</span></dt><dd>Time</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>shortName :</span></dt><dd>Date/Time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>time_origin :</span></dt><dd>01-JAN-1970 00:00:00</dd></dl></div><div class='xr-var-data'><pre>[33851 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(row)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-725e3903-7a1b-4aa7-8889-f3683bca3433' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-725e3903-7a1b-4aa7-8889-f3683bca3433' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03f1b58d-618d-472a-a772-4a0f9f784592' class='xr-var-data-in' type='checkbox'><label for='data-03f1b58d-618d-472a-a772-4a0f9f784592' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd><dt><span>actual_range :</span></dt><dd>[53.5642 81.1627]</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>colorBarMaximum :</span></dt><dd>90.0</dd><dt><span>colorBarMinimum :</span></dt><dd>-90.0</dd><dt><span>ioos_category :</span></dt><dd>Location</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>shortName :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[33851 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'>(row)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2e90c0c1-3df8-4983-a9f2-abcb9bf43571' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e90c0c1-3df8-4983-a9f2-abcb9bf43571' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6a07d91-4229-4f60-b08f-cf0c773cb62d' class='xr-var-data-in' type='checkbox'><label for='data-e6a07d91-4229-4f60-b08f-cf0c773cb62d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd><dt><span>actual_range :</span></dt><dd>[-17.8766  20.3907]</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>colorBarMaximum :</span></dt><dd>180.0</dd><dt><span>colorBarMinimum :</span></dt><dd>-180.0</dd><dt><span>ioos_category :</span></dt><dd>Location</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>shortName :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>[33851 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-30dec40d-d64e-4897-be0a-77331518cb0f' class='xr-section-summary-in' type='checkbox'  ><label for='section-30dec40d-d64e-4897-be0a-77331518cb0f' class='xr-section-summary' >Data variables: <span>(20)</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>Ceil</span></div><div class='xr-var-dims'>(row)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-06c1acd6-5ec8-42a5-b545-50aceb0dbc72' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-06c1acd6-5ec8-42a5-b545-50aceb0dbc72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e173739a-5392-4433-9254-0188775b370e' class='xr-var-data-in' type='checkbox'><label for='data-e173739a-5392-4433-9254-0188775b370e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[2.74320e+01 3.04797e+04]</dd><dt><span>long_name :</span></dt><dd>Ceiling</dd><dt><span>shortName :</span></dt><dd>Ceil</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[33851 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Course</span></div><div class='xr-var-dims'>(row)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dc0013e9-d1d5-4f8a-8a47-1c862c7a7905' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc0013e9-d1d5-4f8a-8a47-1c862c7a7905' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9532152a-959a-442f-a17f-9244d4fdc812' class='xr-var-data-in' type='checkbox'><label for='data-9532152a-959a-442f-a17f-9244d4fdc812' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[  0. 360.]</dd><dt><span>long_name :</span></dt><dd>Course</dd><dt><span>shortName :</span></dt><dd>Course</dd><dt><span>units :</span></dt><dd>deg</dd></dl></div><div class='xr-var-data'><pre>[33851 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Bathy_depth</span></div><div class='xr-var-dims'>(row)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6eede451-4284-410c-97fc-87202aa1cb94' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6eede451-4284-410c-97fc-87202aa1cb94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e359b820-0e2e-4ec0-89ce-2fbcb9df8613' class='xr-var-data-in' type='checkbox'><label for='data-e359b820-0e2e-4ec0-89ce-2fbcb9df8613' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[  11. 3887.]</dd><dt><span>long_name :</span></dt><dd>Depth, bathymetric</dd><dt><span>shortName :</span></dt><dd>Bathy depth</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[33851 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DEWT</span></div><div class='xr-var-dims'>(row)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-53e767a5-ef5f-4e69-85bb-01a5a07f9c2a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53e767a5-ef5f-4e69-85bb-01a5a07f9c2a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1560fbb6-72be-4c3a-a21f-a3fc6a234b44' class='xr-var-data-in' type='checkbox'><label for='data-1560fbb6-72be-4c3a-a21f-a3fc6a234b44' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[-4.1 14.2]</dd><dt><span>colorBarMaximum :</span></dt><dd>40.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>long_name :</span></dt><dd>Dew/frost point</dd><dt><span>shortName :</span></dt><dd>TdTdTd</dd><dt><span>standard_name :</span></dt><dd>dew_point_temperature</dd><dt><span>units :</span></dt><dd>°C</dd></dl></div><div class='xr-var-data'><pre>[33851 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Elevation</span></div><div class='xr-var-dims'>(row)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a0a5c2cd-da16-42e6-8b0b-14f4b13c1d67' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0a5c2cd-da16-42e6-8b0b-14f4b13c1d67' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1bce18b6-c070-42ad-b35c-d5f8ccbcfc5b' class='xr-var-data-in' type='checkbox'><label for='data-1bce18b6-c070-42ad-b35c-d5f8ccbcfc5b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Elevation</dd><dt><span>shortName :</span></dt><dd>Elevation</dd><dt><span>standard_name :</span></dt><dd>altitude</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[33851 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Head</span></div><div class='xr-var-dims'>(row)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1de920e5-6b8c-43cb-be87-b9f72d2d999f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1de920e5-6b8c-43cb-be87-b9f72d2d999f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2537eec3-4205-45b2-b122-61fd51fce083' class='xr-var-data-in' type='checkbox'><label for='data-2537eec3-4205-45b2-b122-61fd51fce083' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[  0. 360.]</dd><dt><span>long_name :</span></dt><dd>Heading</dd><dt><span>shortName :</span></dt><dd>head</dd><dt><span>units :</span></dt><dd>deg</dd></dl></div><div class='xr-var-data'><pre>[33851 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RAH</span></div><div class='xr-var-dims'>(row)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3a775859-f34e-4c66-92b7-c04fb12299db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a775859-f34e-4c66-92b7-c04fb12299db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0b8dd0f-c4d1-4cf7-9fee-e62add0f33d7' class='xr-var-data-in' type='checkbox'><label for='data-a0b8dd0f-c4d1-4cf7-9fee-e62add0f33d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[ 58. 104.]</dd><dt><span>colorBarMaximum :</span></dt><dd>100.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>long_name :</span></dt><dd>Humidity, relative</dd><dt><span>shortName :</span></dt><dd>RH</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>percent</dd></dl></div><div class='xr-var-data'><pre>[33851 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Precip10m</span></div><div class='xr-var-dims'>(row)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c33fa8a1-7c49-4aec-9e4d-9a51e635c134' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c33fa8a1-7c49-4aec-9e4d-9a51e635c134' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5bf8b40c-b6d6-4e8a-94f2-9d628d294cf2' class='xr-var-data-in' type='checkbox'><label for='data-5bf8b40c-b6d6-4e8a-94f2-9d628d294cf2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>shortName :</span></dt><dd>Precip</dd><dt><span>units :</span></dt><dd>mm/10min</dd></dl></div><div class='xr-var-data'><pre>[33851 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Precip1m</span></div><div class='xr-var-dims'>(row)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bb451c78-95fd-4228-a7a8-19fd9cc5eea6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb451c78-95fd-4228-a7a8-19fd9cc5eea6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9f10fe7-cf7a-44ae-be8b-363d18a949ba' class='xr-var-data-in' type='checkbox'><label for='data-f9f10fe7-cf7a-44ae-be8b-363d18a949ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Precipitation</dd><dt><span>shortName :</span></dt><dd>Precip</dd><dt><span>units :</span></dt><dd>mm/min</dd></dl></div><div class='xr-var-data'><pre>[33851 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ATMS</span></div><div class='xr-var-dims'>(row)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d97a56a7-1d1e-42f2-ad05-9ad7ac8e9d4d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d97a56a7-1d1e-42f2-ad05-9ad7ac8e9d4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aed40d3a-4dab-4469-82f3-eeca2026498e' class='xr-var-data-in' type='checkbox'><label for='data-aed40d3a-4dab-4469-82f3-eeca2026498e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[ 996.4 1021.3]</dd><dt><span>long_name :</span></dt><dd>Pressure, at given altitude ALLERT</dd><dt><span>shortName :</span></dt><dd>PPPP</dd><dt><span>units :</span></dt><dd>hPa</dd></dl></div><div class='xr-var-data'><pre>[33851 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SWD</span></div><div class='xr-var-dims'>(row)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3a9a9a40-8176-4ab6-a855-46c086185b54' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a9a9a40-8176-4ab6-a855-46c086185b54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-990c05bd-83c3-4485-93bd-d4ccbb10009c' class='xr-var-data-in' type='checkbox'><label for='data-990c05bd-83c3-4485-93bd-d4ccbb10009c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[  -2. 1112.]</dd><dt><span>long_name :</span></dt><dd>Short-wave downward (GLOBAL) radiation</dd><dt><span>shortName :</span></dt><dd>SWD</dd><dt><span>units :</span></dt><dd>W/m**2</dd></dl></div><div class='xr-var-data'><pre>[33851 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v</span></div><div class='xr-var-dims'>(row)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5af6da28-c023-44bd-a44f-fbfb89982397' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5af6da28-c023-44bd-a44f-fbfb89982397' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46e731dc-8f88-47c7-9fe3-147e9d0691cd' class='xr-var-data-in' type='checkbox'><label for='data-46e731dc-8f88-47c7-9fe3-147e9d0691cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[0.  8.4]</dd><dt><span>long_name :</span></dt><dd>Speed, velocity</dd><dt><span>shortName :</span></dt><dd>v</dd><dt><span>units :</span></dt><dd>m/s</dd></dl></div><div class='xr-var-data'><pre>[33851 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>DRYT</span></div><div class='xr-var-dims'>(row)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-104ec694-a999-485b-ab91-49e02ea8fca5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-104ec694-a999-485b-ab91-49e02ea8fca5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d5af1eb-873c-4e1e-863b-d66d0777b326' class='xr-var-data-in' type='checkbox'><label for='data-4d5af1eb-873c-4e1e-863b-d66d0777b326' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[-3.6 17.1]</dd><dt><span>colorBarMaximum :</span></dt><dd>40.0</dd><dt><span>colorBarMinimum :</span></dt><dd>-10.0</dd><dt><span>long_name :</span></dt><dd>Temperature, air</dd><dt><span>shortName :</span></dt><dd>TTT</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>°C</dd></dl></div><div class='xr-var-data'><pre>[33851 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TEMP</span></div><div class='xr-var-dims'>(row)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-09473402-061c-4fae-a992-ba7f84225b45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-09473402-061c-4fae-a992-ba7f84225b45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f43ae56-21db-4898-80b2-7b6687c88ac1' class='xr-var-data-in' type='checkbox'><label for='data-6f43ae56-21db-4898-80b2-7b6687c88ac1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[-1.9 19.4]</dd><dt><span>colorBarMaximum :</span></dt><dd>32.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>long_name :</span></dt><dd>Temperature, water</dd><dt><span>shortName :</span></dt><dd>Temp</dd><dt><span>standard_name :</span></dt><dd>sea_water_temperature</dd><dt><span>units :</span></dt><dd>°C</dd></dl></div><div class='xr-var-data'><pre>[33851 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Visib</span></div><div class='xr-var-dims'>(row)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6cd77145-3341-4af4-b7a8-ccfb0a8de6d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6cd77145-3341-4af4-b7a8-ccfb0a8de6d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cbc77088-b230-4a02-9e38-8a3e52cf3dc0' class='xr-var-data-in' type='checkbox'><label for='data-cbc77088-b230-4a02-9e38-8a3e52cf3dc0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[  121. 74698.]</dd><dt><span>long_name :</span></dt><dd>Visibility</dd><dt><span>shortName :</span></dt><dd>Visib</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>[33851 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RelWindDir</span></div><div class='xr-var-dims'>(row)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1ea75dcb-874d-481c-9562-c6ecca6f0456' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ea75dcb-874d-481c-9562-c6ecca6f0456' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e627272f-8fb8-4d28-9084-ba4e94d9f75d' class='xr-var-data-in' type='checkbox'><label for='data-e627272f-8fb8-4d28-9084-ba4e94d9f75d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[  0. 360.]</dd><dt><span>colorBarMaximum :</span></dt><dd>360.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>long_name :</span></dt><dd>Wind direction, relative</dd><dt><span>shortName :</span></dt><dd>RelWindDir</dd><dt><span>standard_name :</span></dt><dd>wind_from_direction</dd><dt><span>units :</span></dt><dd>deg</dd></dl></div><div class='xr-var-data'><pre>[33851 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WDIR</span></div><div class='xr-var-dims'>(row)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6a2f6876-fa35-4dc8-af7d-0e6d632af4df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a2f6876-fa35-4dc8-af7d-0e6d632af4df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62eaa4bd-9036-4e8c-811e-69a3e117094d' class='xr-var-data-in' type='checkbox'><label for='data-62eaa4bd-9036-4e8c-811e-69a3e117094d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[  0. 360.]</dd><dt><span>colorBarMaximum :</span></dt><dd>360.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>long_name :</span></dt><dd>wind direction</dd><dt><span>shortName :</span></dt><dd>dd</dd><dt><span>standard_name :</span></dt><dd>wind_from_direction</dd><dt><span>units :</span></dt><dd>deg</dd></dl></div><div class='xr-var-data'><pre>[33851 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RelWindGust</span></div><div class='xr-var-dims'>(row)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-12cec702-ed12-4d06-b0a0-82ace97d8bd1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12cec702-ed12-4d06-b0a0-82ace97d8bd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f744c6f-f6b0-4327-8b73-96a09a64cf8d' class='xr-var-data-in' type='checkbox'><label for='data-3f744c6f-f6b0-4327-8b73-96a09a64cf8d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[ 0.4 21.3]</dd><dt><span>colorBarMaximum :</span></dt><dd>30.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>long_name :</span></dt><dd>Wind speed, relative, gust</dd><dt><span>shortName :</span></dt><dd>RelWindGust</dd><dt><span>standard_name :</span></dt><dd>wind_speed_of_gust</dd><dt><span>units :</span></dt><dd>m/s</dd></dl></div><div class='xr-var-data'><pre>[33851 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RelWindSp</span></div><div class='xr-var-dims'>(row)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d8fdf154-6cbf-4960-a83c-88c689119b9f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8fdf154-6cbf-4960-a83c-88c689119b9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5df463d8-6704-43e8-87c0-b3eb4b30fb8a' class='xr-var-data-in' type='checkbox'><label for='data-5df463d8-6704-43e8-87c0-b3eb4b30fb8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[ 0.2 19.8]</dd><dt><span>colorBarMaximum :</span></dt><dd>15.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>long_name :</span></dt><dd>Wind speed, relative</dd><dt><span>shortName :</span></dt><dd>RelWindSp</dd><dt><span>standard_name :</span></dt><dd>wind_speed</dd><dt><span>units :</span></dt><dd>m/s</dd></dl></div><div class='xr-var-data'><pre>[33851 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WSPD</span></div><div class='xr-var-dims'>(row)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-943138e2-cb39-425d-9e09-31738f35f4d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-943138e2-cb39-425d-9e09-31738f35f4d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-771b2a37-2ce9-48cc-9a39-c5aedf7b5922' class='xr-var-data-in' type='checkbox'><label for='data-771b2a37-2ce9-48cc-9a39-c5aedf7b5922' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>actual_range :</span></dt><dd>[ 0.2 15. ]</dd><dt><span>colorBarMaximum :</span></dt><dd>15.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>long_name :</span></dt><dd>Wind speed</dd><dt><span>shortName :</span></dt><dd>ff</dd><dt><span>standard_name :</span></dt><dd>wind_speed</dd><dt><span>units :</span></dt><dd>m/s</dd></dl></div><div class='xr-var-data'><pre>[33851 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-59c4a7fa-41e2-4a37-a6ed-8bd70ec90a0f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-59c4a7fa-41e2-4a37-a6ed-8bd70ec90a0f' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-9f78a249-fecb-4da4-96d0-bbb52dcca29b' class='xr-section-summary-in' type='checkbox'  ><label for='section-9f78a249-fecb-4da4-96d0-bbb52dcca29b' class='xr-section-summary' >Attributes: <span>(42)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>abstract :</span></dt><dd>The meteorological observatory Polarstern continuously acquires meteorological parameters during times of ship operation. Measurements are taken on various locations on the vessel, instrument heights above sea level are given below. All data is quality controlled. Measurements are checked daily on board by the operator and again prior to publication. Knowingly affected or erroneous data is removed.</dd><dt><span>authors :</span></dt><dd>Schmithüsen, Holger</dd><dt><span>cdm_data_type :</span></dt><dd>Point</dd><dt><span>citation :</span></dt><dd>Schmithüsen, Holger (2021): Continuous meteorological surface measurement during POLARSTERN cruise PS114. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.929244</dd><dt><span>contact :</span></dt><dd>holger.schmithuesen@awi.de</dd><dt><span>Conventions :</span></dt><dd>COARDS, CF-1.6, ACDD-1.3</dd><dt><span>dataset :</span></dt><dd>de.pangaea.dataset929244</dd><dt><span>doi :</span></dt><dd>https://doi.pangaea.de/10.1594/PANGAEA.929244</dd><dt><span>Easternmost_Easting :</span></dt><dd>20.3907</dd><dt><span>events :</span></dt><dd>label : PS114-track, latitude : 53.5675, longitude : 8.5548, elevation : None, datetime : 2018-07-10T00:00:00, device : Underway cruise track measurements</dd><dt><span>featureType :</span></dt><dd>Point</dd><dt><span>geobox :</span></dt><dd>-17.8766###20.3907###53.5642###81.1627</dd><dt><span>geonetwork :</span></dt><dd>http://nadc-isp.cnr.it:8090/geonetwork/srv/ita/catalog.search#/metadata/9eed929d-eff1-46bf-804f-0bbc5418d403</dd><dt><span>geospatial_lat_max :</span></dt><dd>81.1627</dd><dt><span>geospatial_lat_min :</span></dt><dd>53.5642</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_max :</span></dt><dd>20.3907</dd><dt><span>geospatial_lon_min :</span></dt><dd>-17.8766</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>geospatial_vertical_positive :</span></dt><dd>up</dd><dt><span>geospatial_vertical_units :</span></dt><dd>m</dd><dt><span>history :</span></dt><dd>2023-05-30T09:53:42Z (local files)\n",
       "2023-05-30T09:53:42Z https://erddap.emodnet-physics.eu/erddap/tabledap/ARICE_de_pangaea_dataset929244.ncCF</dd><dt><span>id :</span></dt><dd>4133</dd><dt><span>infoUrl :</span></dt><dd>https://doi.pangaea.de/10.1594/PANGAEA.929244</dd><dt><span>institution :</span></dt><dd>AWI</dd><dt><span>keywords :</span></dt><dd>air, air_temperature, alfred, allert, altitude, ant, ant-xi, ant-xi/1, antarctic, arc, arctic, atmosphere, atmospheric, awi, awi_meteo, Bathy_depth, bathymetric, Ceil, ceiling, circulation, continuous, course, cruise, data, depth, dew, dew point, dew/frost, dew_point_temperature, direction, downward, during, earth, Earth Science &gt; Atmosphere &gt; Altitude &gt; Station Height, Earth Science &gt; Atmosphere &gt; Atmospheric Temperature &gt; Air Temperature, Earth Science &gt; Atmosphere &gt; Atmospheric Temperature &gt; Dew Point Temperature, Earth Science &gt; Atmosphere &gt; Atmospheric Temperature &gt; Surface Air Temperature, Earth Science &gt; Atmosphere &gt; Atmospheric Water Vapor &gt; Dew Point Temperature, Earth Science &gt; Atmosphere &gt; Atmospheric Water Vapor &gt; Humidity, Earth Science &gt; Atmosphere &gt; Atmospheric Winds &gt; Surface Winds, Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Water Temperature, elevation, experiment, frost, given, global, gust, Head, heading, height, humidity, instituite, latitude, long-term, longitude, marine, measurement, meteorological, observations, ocean, oceans, point, polar, polarstern, PPPP, Precip, precipitation, pressure, radiation, rain, rainfall, relative, relative_humidity, RelWindDir, RelWindGust, RelWindSp, research, science, sciences, sea, sea_water_temperature, seawater, short, short-wave, speed, station, surface, SWD, TdTdTd, Temp, temperature, time, TTT, v, vapor, velocity, Visib, visibility, water, wave, wegener, wind, wind_from_direction, wind_speed, wind_speed_of_gust, winds, woce, world</dd><dt><span>keywords_vocabulary :</span></dt><dd>GCMD Science Keywords</dd><dt><span>license :</span></dt><dd>Creative Commons Attribution Share-Alike http://www.opendefinition.org/licenses/cc-by-sa</dd><dt><span>link :</span></dt><dd>https://doi.pangaea.de/10.1594/PANGAEA.929244?format=textfile</dd><dt><span>loginstatus :</span></dt><dd>unrestricted</dd><dt><span>Northernmost_Northing :</span></dt><dd>81.1627</dd><dt><span>schema :</span></dt><dd>iso19139</dd><dt><span>sourceUrl :</span></dt><dd>(local files)</dd><dt><span>Southernmost_Northing :</span></dt><dd>53.5642</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table v70</dd><dt><span>summary :</span></dt><dd>Continuous meteorological surface measurement during POLARSTERN cruise PS114</dd><dt><span>time_coverage_end :</span></dt><dd>2018-08-03T05:59:00Z</dd><dt><span>time_coverage_start :</span></dt><dd>2018-07-10T06:00:00Z</dd><dt><span>title :</span></dt><dd>Continuous meteorological surface measurement during POLARSTERN cruise PS114</dd><dt><span>uuid :</span></dt><dd>9eed929d-eff1-46bf-804f-0bbc5418d403</dd><dt><span>Westernmost_Easting :</span></dt><dd>-17.8766</dd><dt><span>year :</span></dt><dd>2021</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:      (row: 33851)\n",
       "Coordinates:\n",
       "    altitude     (row) float64 ...\n",
       "    time         (row) datetime64[ns] ...\n",
       "    latitude     (row) float64 ...\n",
       "    longitude    (row) float64 ...\n",
       "Dimensions without coordinates: row\n",
       "Data variables: (12/20)\n",
       "    Ceil         (row) float32 ...\n",
       "    Course       (row) float64 ...\n",
       "    Bathy_depth  (row) float64 ...\n",
       "    DEWT         (row) float64 ...\n",
       "    Elevation    (row) float64 ...\n",
       "    Head         (row) float64 ...\n",
       "    ...           ...\n",
       "    Visib        (row) float64 ...\n",
       "    RelWindDir   (row) float64 ...\n",
       "    WDIR         (row) float64 ...\n",
       "    RelWindGust  (row) float64 ...\n",
       "    RelWindSp    (row) float64 ...\n",
       "    WSPD         (row) float64 ...\n",
       "Attributes: (12/42)\n",
       "    abstract:                      The meteorological observatory Polarstern ...\n",
       "    authors:                       Schmithüsen, Holger\n",
       "    cdm_data_type:                 Point\n",
       "    citation:                      Schmithüsen, Holger (2021): Continuous met...\n",
       "    contact:                       holger.schmithuesen@awi.de\n",
       "    Conventions:                   COARDS, CF-1.6, ACDD-1.3\n",
       "    ...                            ...\n",
       "    time_coverage_end:             2018-08-03T05:59:00Z\n",
       "    time_coverage_start:           2018-07-10T06:00:00Z\n",
       "    title:                         Continuous meteorological surface measurem...\n",
       "    uuid:                          9eed929d-eff1-46bf-804f-0bbc5418d403\n",
       "    Westernmost_Easting:           -17.8766\n",
       "    year:                          2021"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_arice"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2b60d2a3-2a2c-454d-bfda-abf10b4e977a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Schmithüsen, Holger (2021): Continuous meteorological surface measurement during POLARSTERN cruise PS114. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.929244'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_arice.attrs[\"citation\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "17e4bc18-7406-4fa9-8af3-a99ccbc97eb3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f5c0b210fa0>]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_arice.ATMS.plot(x=\"time\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "68cfc230-9a57-46fa-b0a0-ce99639ca00b",
   "metadata": {},
   "source": [
    "### Gridded data\n",
    "\n",
    "ERDDAP has a seperate mechanism for gridded data, like satellite and model/reanalysis products. This is called griddap. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1e6a7dc3-4862-4b38-a7c2-5429491e19b8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "variables in this dataset:\n",
      "\n",
      "['sss', 'sss_isas', 'sss_corr_smos', 'sst', 'spiciness0', 'SA', 'CT', 'rho', 'alpha', 'beta', 'ice_mask']\n"
     ]
    }
   ],
   "source": [
    "e = ERDDAP(\n",
    "    server=\"https://erddap.emodnet-physics.eu/erddap\",\n",
    "    protocol=\"griddap\",\n",
    ")\n",
    "url = e.get_search_url(search_for=\"SSS\", response=\"csv\")\n",
    "df = pd.read_csv(url)\n",
    "df[\"Dataset ID\"]\n",
    "e.dataset_id=df[\"Dataset ID\"][0]\n",
    "\n",
    "e.griddap_initialize() # This sends a background request to find the dataset's variables and extent\n",
    "\n",
    "print(f\"variables in this dataset:\\n\\n{e.variables}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2a06fa75-df37-43ab-adc8-56c623cfd9dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_sss = e.to_xarray()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "89615c2d-0887-4096-b121-eee034d015c3",
   "metadata": {},
   "outputs": [
    {
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       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".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-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\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",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:        (time: 1, latitude: 584, longitude: 1388)\n",
       "Coordinates:\n",
       "  * time           (time) datetime64[ns] 2022-06-30\n",
       "  * latitude       (latitude) float64 -83.52 -81.98 -80.7 ... 80.7 81.98 83.52\n",
       "  * longitude      (longitude) float64 -179.9 -179.6 -179.4 ... 179.6 179.9\n",
       "Data variables:\n",
       "    sss            (time, latitude, longitude) float64 ...\n",
       "    sss_isas       (time, latitude, longitude) float64 ...\n",
       "    sss_corr_smos  (time, latitude, longitude) float64 ...\n",
       "    sst            (time, latitude, longitude) float64 ...\n",
       "    spiciness0     (time, latitude, longitude) float64 ...\n",
       "    SA             (time, latitude, longitude) float64 ...\n",
       "    CT             (time, latitude, longitude) float64 ...\n",
       "    rho            (time, latitude, longitude) float64 ...\n",
       "    alpha          (time, latitude, longitude) float64 ...\n",
       "    beta           (time, latitude, longitude) float64 ...\n",
       "    ice_mask       (time, latitude, longitude) float64 ...\n",
       "Attributes: (12/53)\n",
       "    cdm_data_type:             Grid\n",
       "    citation:                  CATDS (2022). CATDS-PDC L4OS SMOS-OI - Weekly ...\n",
       "    computation_method:        TEOS-10\n",
       "    contact:                   servicedesk.cmems@mercator-ocean.eu\n",
       "    Conventions:               CF-1.8, COARDS, ACDD-1.3\n",
       "    creation_date:             18-Jul-2022 11:19:21\n",
       "    ...                        ...\n",
       "    standard_name_vocabulary:  CF Standard Name Table v70\n",
       "    summary:                   SSS SMOS L4 Optimum Interpolation (OI) - LOPS-...\n",
       "    time_coverage_end:         2022-06-30T00:00:00Z\n",
       "    time_coverage_start:       2022-06-30T00:00:00Z\n",
       "    title:                     SSS SMOS L4 OI, LOPS-v2021\n",
       "    Westernmost_Easting:       -179.8703155517578</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6c718449-bbf3-47ed-9fdd-fe723478561e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6c718449-bbf3-47ed-9fdd-fe723478561e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>latitude</span>: 584</li><li><span class='xr-has-index'>longitude</span>: 1388</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cbea8b10-8b80-47f1-9bb2-7896ff03d383' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cbea8b10-8b80-47f1-9bb2-7896ff03d383' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2022-06-30</div><input id='attrs-7ef89d69-e51d-41c8-8966-36e903af3065' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ef89d69-e51d-41c8-8966-36e903af3065' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6078b42f-6226-4d81-8a32-0cc85b4af345' class='xr-var-data-in' type='checkbox'><label for='data-6078b42f-6226-4d81-8a32-0cc85b4af345' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_CoordinateAxisType :</span></dt><dd>Time</dd><dt><span>actual_range :</span></dt><dd>[1.6565472e+09 1.6565472e+09]</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>ioos_category :</span></dt><dd>Time</dd><dt><span>long_name :</span></dt><dd>mean time of coverage period</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>time_origin :</span></dt><dd>01-JAN-1970 00:00:00</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-06-30T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-83.52 -81.98 -80.7 ... 81.98 83.52</div><input id='attrs-9a79addd-108d-45e0-9b2b-d2be734a3658' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a79addd-108d-45e0-9b2b-d2be734a3658' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d6838ea-e9de-4782-88f9-68d6fe14eb84' class='xr-var-data-in' type='checkbox'><label for='data-0d6838ea-e9de-4782-88f9-68d6fe14eb84' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_CoordinateAxisType :</span></dt><dd>Lat</dd><dt><span>actual_range :</span></dt><dd>[-83.51713562  83.51713562]</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>ioos_category :</span></dt><dd>Location</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([-83.517136, -81.983078, -80.697212, ...,  80.697212,  81.983078,\n",
       "        83.517136])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-469f1848-7054-476f-a2e4-cb564afd5aa8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-469f1848-7054-476f-a2e4-cb564afd5aa8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-461c2bd7-bba5-42d5-a156-a74a438547b6' class='xr-var-data-in' type='checkbox'><label for='data-461c2bd7-bba5-42d5-a156-a74a438547b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_CoordinateAxisType :</span></dt><dd>Lon</dd><dt><span>actual_range :</span></dt><dd>[-179.87031555  179.87031555]</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>ioos_category :</span></dt><dd>Location</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-179.870316, -179.610947, -179.351578, ...,  179.351578,  179.610947,\n",
       "        179.870316])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d612abef-244c-4bc8-ac55-1fc7c72dd4a4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d612abef-244c-4bc8-ac55-1fc7c72dd4a4' class='xr-section-summary' >Data variables: <span>(11)</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>sss</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-156b1996-879a-4213-bd0a-c25d06a5de6a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-156b1996-879a-4213-bd0a-c25d06a5de6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a14b6102-e762-47bb-91fd-911f0047e689' class='xr-var-data-in' type='checkbox'><label for='data-a14b6102-e762-47bb-91fd-911f0047e689' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>colorBarMaximum :</span></dt><dd>37.0</dd><dt><span>colorBarMinimum :</span></dt><dd>32.0</dd><dt><span>long_name :</span></dt><dd>Corrected Practical Sea Surface Salinity (pss-78)</dd><dt><span>standard_name :</span></dt><dd>sea_water_practical_salinity</dd><dt><span>units :</span></dt><dd>PSU</dd></dl></div><div class='xr-var-data'><pre>[810592 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sss_isas</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fbfa8d10-e2db-4ef2-a541-4c675657ff80' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fbfa8d10-e2db-4ef2-a541-4c675657ff80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d78947b-c96c-43ba-90ee-9386374e3bcd' class='xr-var-data-in' type='checkbox'><label for='data-8d78947b-c96c-43ba-90ee-9386374e3bcd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>colorBarMaximum :</span></dt><dd>37.0</dd><dt><span>colorBarMinimum :</span></dt><dd>32.0</dd><dt><span>long_name :</span></dt><dd>Reference Practical SSS from ISAS in situ gridded product (pss-78)</dd><dt><span>standard_name :</span></dt><dd>sea_water_practical_salinity</dd><dt><span>units :</span></dt><dd>PSU</dd></dl></div><div class='xr-var-data'><pre>[810592 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sss_corr_smos</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f3cde4d9-12df-4e71-af80-475c2bd16a20' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f3cde4d9-12df-4e71-af80-475c2bd16a20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b058255-78d8-4926-b84f-a647a22549ee' class='xr-var-data-in' type='checkbox'><label for='data-9b058255-78d8-4926-b84f-a647a22549ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>colorBarMaximum :</span></dt><dd>37.0</dd><dt><span>colorBarMinimum :</span></dt><dd>32.0</dd><dt><span>long_name :</span></dt><dd>Practical Sea Surface Salinity Correction of SMOS (pss-78)</dd><dt><span>standard_name :</span></dt><dd>sea_water_practical_salinity</dd><dt><span>units :</span></dt><dd>PSU</dd></dl></div><div class='xr-var-data'><pre>[810592 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4e5af5c1-65fc-4b8e-8c3c-064145c651f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e5af5c1-65fc-4b8e-8c3c-064145c651f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb717447-0d18-4d72-8e40-ce3f82fdf80f' class='xr-var-data-in' type='checkbox'><label for='data-bb717447-0d18-4d72-8e40-ce3f82fdf80f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>colorBarMaximum :</span></dt><dd>32.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>long_name :</span></dt><dd>Sea Surface Temperature</dd><dt><span>standard_name :</span></dt><dd>sea_surface_temperature</dd><dt><span>units :</span></dt><dd>degree_C</dd></dl></div><div class='xr-var-data'><pre>[810592 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spiciness0</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-77088731-8b0f-46af-b399-8517866ca12f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77088731-8b0f-46af-b399-8517866ca12f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8114c4c8-35c3-46a3-974b-24563a3804f8' class='xr-var-data-in' type='checkbox'><label for='data-8114c4c8-35c3-46a3-974b-24563a3804f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>colorBarMaximum :</span></dt><dd>200.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>long_name :</span></dt><dd>Spiciness at p = 0 dbar (75-term equation) computed from TEOS-10 MATLAB Toolbox</dd><dt><span>units :</span></dt><dd>kg/m^3</dd></dl></div><div class='xr-var-data'><pre>[810592 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SA</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bab4c422-4afd-4655-a456-b3ca0ace5922' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bab4c422-4afd-4655-a456-b3ca0ace5922' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-086cdbe9-da46-4fb6-8c8f-033676e3ca8a' class='xr-var-data-in' type='checkbox'><label for='data-086cdbe9-da46-4fb6-8c8f-033676e3ca8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>colorBarMaximum :</span></dt><dd>37.0</dd><dt><span>colorBarMinimum :</span></dt><dd>32.0</dd><dt><span>long_name :</span></dt><dd>Absolute Salinity from Practical Salinity computed from TEOS-10 MATLAB Toolbox</dd><dt><span>standard_name :</span></dt><dd>sea_water_absolute_salinity</dd><dt><span>units :</span></dt><dd>g/kg</dd></dl></div><div class='xr-var-data'><pre>[810592 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CT</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-46965335-9710-4d3e-92a8-041fe4420331' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-46965335-9710-4d3e-92a8-041fe4420331' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43e96cfe-fadc-41e4-83ab-a7efd34418a7' class='xr-var-data-in' type='checkbox'><label for='data-43e96cfe-fadc-41e4-83ab-a7efd34418a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>colorBarMaximum :</span></dt><dd>40.0</dd><dt><span>colorBarMinimum :</span></dt><dd>-10.0</dd><dt><span>long_name :</span></dt><dd>Conservative Temperature from in-situ temperature computed from TEOS-10 MATLAB Toolbox</dd><dt><span>standard_name :</span></dt><dd>sea_water_conservative_temperature</dd><dt><span>units :</span></dt><dd>degree_C</dd></dl></div><div class='xr-var-data'><pre>[810592 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rho</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6777a1d9-84cc-4b61-84b1-8a99ca96ab7d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6777a1d9-84cc-4b61-84b1-8a99ca96ab7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93497e4f-4f45-43d2-9eb6-2522152d100b' class='xr-var-data-in' type='checkbox'><label for='data-93497e4f-4f45-43d2-9eb6-2522152d100b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>colorBarMaximum :</span></dt><dd>200.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>long_name :</span></dt><dd>In-situ density computed from TEOS-10 MATLAB Toolbox</dd><dt><span>standard_name :</span></dt><dd>sea_surface_density</dd><dt><span>units :</span></dt><dd>kg/m^3</dd></dl></div><div class='xr-var-data'><pre>[810592 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>alpha</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-07457f0d-be21-4375-8523-bf10c7ec8d35' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07457f0d-be21-4375-8523-bf10c7ec8d35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18607b0a-27e2-4ba0-bee3-bab500438e4e' class='xr-var-data-in' type='checkbox'><label for='data-18607b0a-27e2-4ba0-bee3-bab500438e4e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Thermal expansion coefficient with respect to Conservative Temperature computed from TEOS-10 MATLAB Toolbox</dd><dt><span>units :</span></dt><dd>1/K</dd></dl></div><div class='xr-var-data'><pre>[810592 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>beta</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-08fed7eb-9609-424f-8053-2221ebab74c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08fed7eb-9609-424f-8053-2221ebab74c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32cd466d-fa82-4f76-8f7c-4ef716faaa38' class='xr-var-data-in' type='checkbox'><label for='data-32cd466d-fa82-4f76-8f7c-4ef716faaa38' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Haline contraction coefficient at constant Conservative Temperature computed from TEOS-10 MATLAB Toolbox</dd><dt><span>units :</span></dt><dd>1000</dd></dl></div><div class='xr-var-data'><pre>[810592 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ice_mask</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ba5238f2-3303-4591-aac5-df0d6d857ecb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba5238f2-3303-4591-aac5-df0d6d857ecb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c70a6335-e1e3-4fe2-bcd1-3703d2614805' class='xr-var-data-in' type='checkbox'><label for='data-c70a6335-e1e3-4fe2-bcd1-3703d2614805' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>colorBarMaximum :</span></dt><dd>150.0</dd><dt><span>colorBarMinimum :</span></dt><dd>0.0</dd><dt><span>long_name :</span></dt><dd>Sea Ice Fraction (&gt;=15 %) from multi-sensor L4 foundation SST product from Remote Sensing Systems</dd><dt><span>mask_data :</span></dt><dd>1.0</dd></dl></div><div class='xr-var-data'><pre>[810592 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a4202ae3-5aac-4a78-8d53-e4965ac9a3a0' class='xr-section-summary-in' type='checkbox'  ><label for='section-a4202ae3-5aac-4a78-8d53-e4965ac9a3a0' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-eaf3c1f9-8969-48aa-bb96-5ce25b62cf92' class='xr-index-data-in' type='checkbox'/><label for='index-eaf3c1f9-8969-48aa-bb96-5ce25b62cf92' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2022-06-30&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d51219b4-b41d-4379-85a0-416a1940dfb8' class='xr-index-data-in' type='checkbox'/><label for='index-d51219b4-b41d-4379-85a0-416a1940dfb8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([-83.51713562011719, -81.98307800292969, -80.69721221923828,\n",
       "              -79.56736755371094,  -78.5472640991211, -77.60977172851562,\n",
       "              -76.73734283447266, -75.91789245605469, -75.14263916015625,\n",
       "              -74.40499877929688,\n",
       "              ...\n",
       "               74.40499877929688,  75.14263916015625,  75.91789245605469,\n",
       "               76.73734283447266,  77.60977172851562,   78.5472640991211,\n",
       "               79.56736755371094,  80.69721221923828,  81.98307800292969,\n",
       "               83.51713562011719],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;, length=584))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b258283c-ede1-4ee3-bfd3-adf3e7994f9e' class='xr-index-data-in' type='checkbox'/><label for='index-b258283c-ede1-4ee3-bfd3-adf3e7994f9e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([ -179.8703155517578, -179.61094665527344, -179.35157775878906,\n",
       "              -179.09222412109375, -178.83285522460938,   -178.573486328125,\n",
       "              -178.31411743164062, -178.05474853515625, -177.79539489746094,\n",
       "              -177.53602600097656,\n",
       "              ...\n",
       "               177.53602600097656,  177.79539489746094,  178.05474853515625,\n",
       "               178.31411743164062,    178.573486328125,  178.83285522460938,\n",
       "               179.09222412109375,  179.35157775878906,  179.61094665527344,\n",
       "                179.8703155517578],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;, length=1388))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-85af17fe-924f-4eaf-8dc2-4a78db5f0d42' class='xr-section-summary-in' type='checkbox'  ><label for='section-85af17fe-924f-4eaf-8dc2-4a78db5f0d42' class='xr-section-summary' >Attributes: <span>(53)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>citation :</span></dt><dd>CATDS (2022). CATDS-PDC L4OS SMOS-OI - Weekly optimal interpolation salinity field product from SMOS satellite and ISAS. CATDS (CNES, IFREMER, LOPS).  https://dx.doi.org/10.12770/639a918e-0711-4eff-965d-15a728acb27d</dd><dt><span>computation_method :</span></dt><dd>TEOS-10</dd><dt><span>contact :</span></dt><dd>servicedesk.cmems@mercator-ocean.eu</dd><dt><span>Conventions :</span></dt><dd>CF-1.8, COARDS, ACDD-1.3</dd><dt><span>creation_date :</span></dt><dd>18-Jul-2022 11:19:21</dd><dt><span>creator_email :</span></dt><dd>support@catds.fr</dd><dt><span>creator_name :</span></dt><dd>SMOS CATDS</dd><dt><span>datum :</span></dt><dd>+ellps = WGS84</dd><dt><span>DOI :</span></dt><dd>10.12770/639a918e-0711-4eff-965d-15a728acb27d</dd><dt><span>DOI_link :</span></dt><dd>https://doi.org/10.12770/639a918e-0711-4eff-965d-15a728acb27d</dd><dt><span>ease_global :</span></dt><dd>yes</dd><dt><span>ease_origin_lat :</span></dt><dd>-83.51714</dd><dt><span>ease_origin_lon :</span></dt><dd>-179.8703</dd><dt><span>ease_projection :</span></dt><dd>cylindrical</dd><dt><span>ease_resolution :</span></dt><dd>25.0</dd><dt><span>Easternmost_Easting :</span></dt><dd>179.8703155517578</dd><dt><span>geospatial_lat_max :</span></dt><dd>83.51713562011719</dd><dt><span>geospatial_lat_min :</span></dt><dd>-83.51713562011719</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_max :</span></dt><dd>179.8703155517578</dd><dt><span>geospatial_lon_min :</span></dt><dd>-179.8703155517578</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>grip_mapping :</span></dt><dd>projection</dd><dt><span>history :</span></dt><dd>2023-05-30T09:56:14Z (local files)\n",
       "2023-05-30T09:56:14Z https://erddap.emodnet-physics.eu/erddap/griddap/MULTIOBS_GLO_PHY_SSS_L4_MY_015_015.nc?sss%5B(2022-06-30T00:00:00Z):1:(2022-06-30T00:00:00Z)%5D%5B(-83.51713562011719):1:(83.51713562011719)%5D%5B(-179.8703155517578):1:(179.8703155517578)%5D,sss_isas%5B(2022-06-30T00:00:00Z):1:(2022-06-30T00:00:00Z)%5D%5B(-83.51713562011719):1:(83.51713562011719)%5D%5B(-179.8703155517578):1:(179.8703155517578)%5D,sss_corr_smos%5B(2022-06-30T00:00:00Z):1:(2022-06-30T00:00:00Z)%5D%5B(-83.51713562011719):1:(83.51713562011719)%5D%5B(-179.8703155517578):1:(179.8703155517578)%5D,sst%5B(2022-06-30T00:00:00Z):1:(2022-06-30T00:00:00Z)%5D%5B(-83.51713562011719):1:(83.51713562011719)%5D%5B(-179.8703155517578):1:(179.8703155517578)%5D,spiciness0%5B(2022-06-30T00:00:00Z):1:(2022-06-30T00:00:00Z)%5D%5B(-83.51713562011719):1:(83.51713562011719)%5D%5B(-179.8703155517578):1:(179.8703155517578)%5D,SA%5B(2022-06-30T00:00:00Z):1:(2022-06-30T00:00:00Z)%5D%5B(-83.51713562011719):1:(83.51713562011719)%5D%5B(-179.8703155517578):1:(179.8703155517578)%5D,CT%5B(2022-06-30T00:00:00Z):1:(2022-06-30T00:00:00Z)%5D%5B(-83.51713562011719):1:(83.51713562011719)%5D%5B(-179.8703155517578):1:(179.8703155517578)%5D,rho%5B(2022-06-30T00:00:00Z):1:(2022-06-30T00:00:00Z)%5D%5B(-83.51713562011719):1:(83.51713562011719)%5D%5B(-179.8703155517578):1:(179.8703155517578)%5D,alpha%5B(2022-06-30T00:00:00Z):1:(2022-06-30T00:00:00Z)%5D%5B(-83.51713562011719):1:(83.51713562011719)%5D%5B(-179.8703155517578):1:(179.8703155517578)%5D,beta%5B(2022-06-30T00:00:00Z):1:(2022-06-30T00:00:00Z)%5D%5B(-83.51713562011719):1:(83.51713562011719)%5D%5B(-179.8703155517578):1:(179.8703155517578)%5D,ice_mask%5B(2022-06-30T00:00:00Z):1:(2022-06-30T00:00:00Z)%5D%5B(-83.51713562011719):1:(83.51713562011719)%5D%5B(-179.8703155517578):1:(179.8703155517578)%5D</dd><dt><span>infoUrl :</span></dt><dd>https://www.catds.fr/</dd><dt><span>institution :</span></dt><dd>SMOS CATDS</dd><dt><span>keywords :</span></dt><dd>75-term, absolute, alpha, beta, coefficient, computed, conservative, constant, contraction, corrected, correction, data, dbar, density, earth, Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature, Earth Science &gt; Oceans &gt; Salinity/Density &gt; Density, Earth Science &gt; Oceans &gt; Salinity/Density &gt; Salinity, equation, expansion, foundation, fraction, gridded, haline, ice, ice_mask, in-situ, interpolation, isas, L4, lops, lops-v2021, matlab, multi, multi-sensor, ocean, oceans, optimum, percent, practical, product, pss, pss-78, reference, remote, respect, rho, salinity, scale, science, sea, sea_surface_density, sea_surface_temperature, sea_water_absolute_salinity, sea_water_conservative_temperature, sea_water_practical_salinity, seawater, sensing, sensor, situ, smos, spiciness, spiciness0, sss, sss_corr_smos, sss_isas, sst, surface, systems, temperature, teos, teos-10, term, thermal, time, toolbox, v2021, water, with, www.catds.fr</dd><dt><span>keywords_vocabulary :</span></dt><dd>GCMD Science Keywords</dd><dt><span>license :</span></dt><dd>Creative Commons Attribution Share-Alike http://www.opendefinition.org/licenses/cc-by-sa</dd><dt><span>Northernmost_Northing :</span></dt><dd>83.51713562011719</dd><dt><span>processing_step :</span></dt><dd>2 – operational processing</dd><dt><span>product_version :</span></dt><dd>1.0</dd><dt><span>proj4text :</span></dt><dd>+proj=cea +lon_0=0 +lat_ts=30 +x_0=0 +y_0=0 +ellps=WGS84 +units=m +no_defs</dd><dt><span>publication :</span></dt><dd>In addition to properly cite this dataset, it would be appreciated that the following work(s) be cited too, when using this dataset in a publication: Kolodziejczyk Nicolas, Hamon Michel, Boutin Jacqueline, Vergely Jean-Luc, Reverdin Gilles, Supply Alexandre, Reul Nicolas (2021). Objective analysis of SMOS and SMAP Sea Surface Salinity to reduce large scale and time dependent biases from low to high latitudes. Journal Of Atmospheric And Oceanic Technology, 38(3), 405-421. Publisher&#x27;s official version : https://doi.org/10.1175/JTECH-D-20-0093.1 , Open Access version : https://archimer.ifremer.fr/doc/00665/77702/</dd><dt><span>references :</span></dt><dd>IOC,  SCOR  and  IAPSO,  2010: The  international  thermodynamic  equation  of  seawater –  2010:  Calculation  and use of thermodynamic properties.  Intergovernmental Oceanographic Commission, Manuals and Guides No. 56, UNESCO (English), 196 pp.</dd><dt><span>references_1 :</span></dt><dd>http://marine.copernicus.eu/</dd><dt><span>references_2 :</span></dt><dd>https://dx.doi.org/10.12770/0f02fc28-cb86-4c44-89f3-ee7df6177e7b</dd><dt><span>references_3 :</span></dt><dd>http://www.remss.com/missions/amsr/</dd><dt><span>references_4 :</span></dt><dd>http://www.remss.com/measurements/sea-surface-temperature/oisst-description/</dd><dt><span>source_1 :</span></dt><dd>Coriolis ISAS NRT</dd><dt><span>source_2 :</span></dt><dd>CATDS-PDC L3OS L3Q mixed – Debiased average 10 days salinity field product</dd><dt><span>source_3 :</span></dt><dd>Remote Sensing Systems - AMSR-2 - SST</dd><dt><span>source_4 :</span></dt><dd>Remote Sensing Systems - REMSS-L4_GHRSST-SSTfnd-MW_OI-GLOB-v02.0-fv05.0 - Sea Ice Fraction</dd><dt><span>sourceUrl :</span></dt><dd>(local files)</dd><dt><span>Southernmost_Northing :</span></dt><dd>-83.51713562011719</dd><dt><span>srid :</span></dt><dd>EPSG:6933</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table v70</dd><dt><span>summary :</span></dt><dd>SSS SMOS L4 Optimum Interpolation (OI) - LOPS-v2021. config_73 : SMOS_RE06_L3Q-9d-gauss-varJLV-OI1-V1-500-1-0-OI2-25-1-0.2-medSTD</dd><dt><span>time_coverage_end :</span></dt><dd>2022-06-30T00:00:00Z</dd><dt><span>time_coverage_start :</span></dt><dd>2022-06-30T00:00:00Z</dd><dt><span>title :</span></dt><dd>SSS SMOS L4 OI, LOPS-v2021</dd><dt><span>Westernmost_Easting :</span></dt><dd>-179.8703155517578</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:        (time: 1, latitude: 584, longitude: 1388)\n",
       "Coordinates:\n",
       "  * time           (time) datetime64[ns] 2022-06-30\n",
       "  * latitude       (latitude) float64 -83.52 -81.98 -80.7 ... 80.7 81.98 83.52\n",
       "  * longitude      (longitude) float64 -179.9 -179.6 -179.4 ... 179.6 179.9\n",
       "Data variables:\n",
       "    sss            (time, latitude, longitude) float64 ...\n",
       "    sss_isas       (time, latitude, longitude) float64 ...\n",
       "    sss_corr_smos  (time, latitude, longitude) float64 ...\n",
       "    sst            (time, latitude, longitude) float64 ...\n",
       "    spiciness0     (time, latitude, longitude) float64 ...\n",
       "    SA             (time, latitude, longitude) float64 ...\n",
       "    CT             (time, latitude, longitude) float64 ...\n",
       "    rho            (time, latitude, longitude) float64 ...\n",
       "    alpha          (time, latitude, longitude) float64 ...\n",
       "    beta           (time, latitude, longitude) float64 ...\n",
       "    ice_mask       (time, latitude, longitude) float64 ...\n",
       "Attributes: (12/53)\n",
       "    cdm_data_type:             Grid\n",
       "    citation:                  CATDS (2022). CATDS-PDC L4OS SMOS-OI - Weekly ...\n",
       "    computation_method:        TEOS-10\n",
       "    contact:                   servicedesk.cmems@mercator-ocean.eu\n",
       "    Conventions:               CF-1.8, COARDS, ACDD-1.3\n",
       "    creation_date:             18-Jul-2022 11:19:21\n",
       "    ...                        ...\n",
       "    standard_name_vocabulary:  CF Standard Name Table v70\n",
       "    summary:                   SSS SMOS L4 Optimum Interpolation (OI) - LOPS-...\n",
       "    time_coverage_end:         2022-06-30T00:00:00Z\n",
       "    time_coverage_start:       2022-06-30T00:00:00Z\n",
       "    title:                     SSS SMOS L4 OI, LOPS-v2021\n",
       "    Westernmost_Easting:       -179.8703155517578"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_sss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d7b62bef-f4d2-4aa0-86dd-b965fc8c1f59",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_sss.sss.plot();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f17945ba-2c34-431f-80f1-6ea40ec9c432",
   "metadata": {},
   "source": [
    "Gridded datasets can be very large. By default, erddapy returns only the most recent time slice of a dataset. This behaviour can be changed by adjusting the constraints.\n",
    "\n",
    "The mechanism for subsetting griddap data is a little more complicated, as the data are multi-dimensional.\n",
    "\n",
    "Let's zoom in on the North Sea/Baltic and take a few time slices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "fd322e7a-c932-4bf4-b3d0-cba7fee7002b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'time>=': '2022-06-30T00:00:00Z',\n",
       " 'time<=': '2022-06-30T00:00:00Z',\n",
       " 'time_step': 1,\n",
       " 'latitude>=': -83.51713562011719,\n",
       " 'latitude<=': 83.51713562011719,\n",
       " 'latitude_step': 1,\n",
       " 'longitude>=': -179.8703155517578,\n",
       " 'longitude<=': 179.8703155517578,\n",
       " 'longitude_step': 1}"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "e.constraints"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70d8f91d-610e-4baf-9a96-443107656b58",
   "metadata": {},
   "source": [
    "To achieve this, we modify the constraints. We will tighten the lon/lat to a window of interest and request a wider timespan of data, taking every 30th day over the last few years"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a78bbc09-fa91-488c-8ccc-05f1959260c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "e.constraints = {'time>=': '2018-05-24T23:00:00Z',\n",
    " 'time<=': '2021-05-24T23:00:00Z',\n",
    " 'time_step': 30,\n",
    " 'latitude>=': 50,\n",
    " 'latitude<=': 70,\n",
    " 'latitude_step': 1,\n",
    " 'longitude>=': -10,\n",
    " 'longitude<=': 30,\n",
    " 'longitude_step': 1}\n",
    "\n",
    "ds_sss_baltic = e.to_xarray()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f5b7e35f-3b5f-42ea-bb7e-8ad76bd70830",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xr.plot.contourf(ds_sss_baltic.sel(time=\"'2018-06-01\", method=\"nearest\").sss, vmin=5, vmax=38, levels=10);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "e3d6c13c-9268-4360-a891-d8a4445200ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xr.plot.contourf(ds_sss_baltic.sel(time=\"'2019-02-01\", method=\"nearest\").sss, vmin=5, vmax=38, levels=10);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "97f2aef6-7229-427d-a2cc-7c7fc94c4c1f",
   "metadata": {},
   "source": [
    "----------------------------\n",
    "\n",
    "### References\n",
    "\n",
    "EMODnet ERDDAP https://erddap.emodnet-physics.eu/erddap/info/index.html\n",
    "\n",
    "For more information on how erddapy deals with griddap, see the [erddapy documentation example notebook](https://ioos.github.io/erddapy/01a-griddap-output.html)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}