cmems_opendap.ipynb

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    "## USE CASE - Download data from any dataset stored in CMEMS with active Opendap Service\n",
    "<a target=\"_blank\" href=\"https://colab.research.google.com/github/aragong/cmems_opendap/blob/main/cmems_opendap.ipynb\">\n",
    "  <img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>\n",
    "</a>\n",
    "\n",
    "- Define initial data (dataset, cmems_user, and cmems_password)\n",
    "- Load complete dataset indexes using pydap and xarray\n",
    "- Subset required data (nearest data point to longitude and latitude [-6.58,36.88] and specific time range [year 1999])\n",
    "- Plot example\n",
    "- Export to netcdf\n",
    "- Convert to pandas DataFrame\n",
    "- Export to other formats from DataFrame (csv, json, html...)\n",
    "\n",
    "\n",
    "Author: [German Aragon](https://ihcantabria.com/en/directorio-personal/investigador/german-aragon/) @ [IHCantabria](https://github.com/IHCantabria)"
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    "# Define dataset, username and password\n",
    "dataset_id = \"cmems_obs-wind_glo_phy_nrt_l4_0.125deg_PT1H\"\n",
    "username = \"garagon\" \n",
    "password = \"wrHZeS5V\""
   ]
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   "source": [
    "If you are using GOOGLE COLAB, uncoment **`!pip install pydap`** in the next cell before running."
   ]
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   "source": [
    "# Uncomment line below if you are using Google Colab\n",
    "# !pip install pydap\n",
    "\n",
    "import xarray as xr\n",
    "from datetime import datetime\n",
    "from matplotlib import pyplot as plt"
   ]
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   "id": "5efa63bb",
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   "source": [
    "# Function to access pydata stores from CMEMS modified by me\n",
    "def _copernicusmarine_datastore(dataset, username, password):\n",
    "    __author__ = \"Copernicus Marine User Support Team\"\n",
    "    __copyright__ = \"(C) 2021 E.U. Copernicus Marine Service Information\"\n",
    "    __credits__ = [\"E.U. Copernicus Marine Service Information\"]\n",
    "    __license__ = \"MIT License - You must cite this source\"\n",
    "    __version__ = \"202104\"\n",
    "    __maintainer__ = \"D. Bazin, E. DiMedio, C. Giordan\"\n",
    "    __email__ = \"servicedesk dot cmems at mercator hyphen ocean dot eu\"\n",
    "    from pydap.cas.get_cookies import setup_session\n",
    "    from pydap.client import open_url\n",
    "\n",
    "    cas_url = \"https://cmems-cas.cls.fr/cas/login\"\n",
    "    session = setup_session(cas_url, username, password)\n",
    "    try:\n",
    "        session.cookies.set(\"CASTGC\", session.cookies.get_dict()[\"CASTGC\"])\n",
    "    except:\n",
    "        raise ValueError(f\"\\033[1;31mUsername or/and password are incorrect!\\033[0;0m\\n\")\n",
    "\n",
    "    database = [\"my\", \"nrt\"]\n",
    "    url = f\"https://{database[0]}.cmems-du.eu/thredds/dodsC/{dataset}\"\n",
    "    try:\n",
    "        data_store = xr.backends.PydapDataStore(open_url(url, session=session))\n",
    "    except:\n",
    "        url = f\"https://{database[1]}.cmems-du.eu/thredds/dodsC/{dataset}\"\n",
    "        data_store = xr.backends.PydapDataStore(open_url(url, session=session))\n",
    "    \n",
    "    print(f\"\\033[1;32m'{username}' is successfully connected to '{dataset_id}'\\033[0;0m\\n\")\n",
    "    return data_store\n",
    "\n",
    "# Funcion to save Dataset object in multiple netcdf files by day\n",
    "def to_daily_netcdf(ds: xr.Dataset, output_path: str, netcdf_format: str=None):\n",
    "    from pathlib import Path\n",
    "\n",
    "    output_path = str(Path(output_path).resolve())\n",
    "    output_dir = str(Path(output_path).parent)\n",
    "    filename, file_ext = str(Path(output_path).stem), str(Path(output_path).suffix)\n",
    "    \n",
    "    date, datasets = zip(*ds.groupby(\"time.date\"))\n",
    "    paths = [f\"{output_dir}/{filename}_{d}{file_ext}\" for d in date]\n",
    "    xr.save_mfdataset(datasets, paths, format=netcdf_format)\n",
    "    return paths\n"
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     "text": [
      "\u001b[1;32m'garagon' is successfully connected to 'cmems_obs-wind_glo_phy_nrt_l4_0.125deg_PT1H'\u001b[0;0m\n",
      "\n"
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                         (lat: 1440, lon: 2880, time: 20328)\n",
       "Coordinates:\n",
       "  * lat                             (lat) float32 -89.94 -89.81 ... 89.81 89.94\n",
       "  * lon                             (lon) float32 -179.9 -179.8 ... 179.8 179.9\n",
       "  * time                            (time) datetime64[ns] 2020-07-01 ... 2022...\n",
       "Data variables: (12/27)\n",
       "    eastward_wind                   (time, lat, lon) float32 ...\n",
       "    eastward_wind_bias              (time, lat, lon) float32 ...\n",
       "    eastward_wind_sdd               (time, lat, lon) float32 ...\n",
       "    northward_wind                  (time, lat, lon) float32 ...\n",
       "    northward_wind_bias             (time, lat, lon) float32 ...\n",
       "    northward_wind_sdd              (time, lat, lon) float32 ...\n",
       "    ...                              ...\n",
       "    stress_curl                     (time, lat, lon) float64 ...\n",
       "    stress_curl_bias                (time, lat, lon) float64 ...\n",
       "    stress_curl_dv                  (time, lat, lon) float64 ...\n",
       "    air_density                     (time, lat, lon) float32 ...\n",
       "    number_of_observations          (time, lat, lon) float32 ...\n",
       "    number_of_observations_divcurl  (time, lat, lon) float32 ...\n",
       "Attributes: (12/26)\n",
       "    title:                       Global Ocean - Wind and Stress - Hourly - Fr...\n",
       "    summary:                    Global ocean 10-m stress-equivalent wind and ...\n",
       "    keywords:                   ocean winds, wind speed, wind direction, wind...\n",
       "    Conventions:                CF-1.6, ACDD-1.3\n",
       "    project:                    Copernicus Marine Service Wind Thematic Assem...\n",
       "    institution:                Royal Netherlands Meteorological Institute (K...\n",
       "    ...                         ...\n",
       "    time_coverage_start:        2022-10-25T23:00:00\n",
       "    time_coverage_end:          2022-10-25T23:00:00\n",
       "    references:                 Copernicus Marine Service Product User Manual...\n",
       "    history:                    N/A\n",
       "    date_created:               2022-10-26T10:33:53\n",
       "    date_modified:              2022-10-26T10:33:53</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-3c644b40-d81c-4c35-8d40-ea053b1d5645' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3c644b40-d81c-4c35-8d40-ea053b1d5645' 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'>lat</span>: 1440</li><li><span class='xr-has-index'>lon</span>: 2880</li><li><span class='xr-has-index'>time</span>: 20328</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-0170672a-39b1-4ca3-946d-1493fad3a98f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0170672a-39b1-4ca3-946d-1493fad3a98f' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.94 -89.81 ... 89.81 89.94</div><input id='attrs-83ac0648-5236-4917-89e3-958ad5c0b614' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-83ac0648-5236-4917-89e3-958ad5c0b614' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e70e7cd-cc43-4ed1-b4f0-bbb01ce22fa4' class='xr-var-data-in' type='checkbox'><label for='data-6e70e7cd-cc43-4ed1-b4f0-bbb01ce22fa4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>_ChunkSizes :</span></dt><dd>1440</dd></dl></div><div class='xr-var-data'><pre>array([-89.9375, -89.8125, -89.6875, ...,  89.6875,  89.8125,  89.9375],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.8 ... 179.8 179.9</div><input id='attrs-33e8f9c1-be8b-4cbc-aa8c-e0efdd5f7863' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33e8f9c1-be8b-4cbc-aa8c-e0efdd5f7863' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ea629cc-ed4a-4cf0-92f9-3b200c76fa29' class='xr-var-data-in' type='checkbox'><label for='data-2ea629cc-ed4a-4cf0-92f9-3b200c76fa29' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>180.0</dd><dt><span>_ChunkSizes :</span></dt><dd>2880</dd></dl></div><div class='xr-var-data'><pre>array([-179.9375, -179.8125, -179.6875, ...,  179.6875,  179.8125,  179.9375],\n",
       "      dtype=float32)</pre></div></li><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'>2020-07-01 ... 2022-10-25T23:00:00</div><input id='attrs-299a51a6-f617-4276-a094-a6081871edd6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-299a51a6-f617-4276-a094-a6081871edd6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d859e169-3503-4651-b769-30e92540f28e' class='xr-var-data-in' type='checkbox'><label for='data-d859e169-3503-4651-b769-30e92540f28e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>validity time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>_ChunkSizes :</span></dt><dd>1024</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-07-01T01:00:00.000000000&#x27;,\n",
       "       &#x27;2020-07-01T02:00:00.000000000&#x27;, ..., &#x27;2022-10-25T21:00:00.000000000&#x27;,\n",
       "       &#x27;2022-10-25T22:00:00.000000000&#x27;, &#x27;2022-10-25T23:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e537b22c-2f15-4f9d-99f6-2b58e86a4e4e' class='xr-section-summary-in' type='checkbox'  ><label for='section-e537b22c-2f15-4f9d-99f6-2b58e86a4e4e' class='xr-section-summary' >Data variables: <span>(27)</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>eastward_wind</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3346f910-ca92-486c-bfbe-79ff15b713b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3346f910-ca92-486c-bfbe-79ff15b713b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c2e65a5-c016-4588-a76f-e9e1fcaf8a09' class='xr-var-data-in' type='checkbox'><label for='data-3c2e65a5-c016-4588-a76f-e9e1fcaf8a09' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>stress-equivalent wind eastward component at 10 m</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>valid_min :</span></dt><dd>-5000</dd><dt><span>valid_max :</span></dt><dd>5000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[84304281600 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eastward_wind_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-93c23786-a033-452b-ae01-b3f9e3b1931f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-93c23786-a033-452b-ae01-b3f9e3b1931f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f5e145f-34f2-4cfd-b940-e2ae68e191b4' class='xr-var-data-in' type='checkbox'><label for='data-4f5e145f-34f2-4cfd-b940-e2ae68e191b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>scatterometer-model bias of stress-equivalent wind eastward component at 10 m</dd><dt><span>standard_name :</span></dt><dd>eastward_wind_bias</dd><dt><span>valid_min :</span></dt><dd>-5000</dd><dt><span>valid_max :</span></dt><dd>5000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[84304281600 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eastward_wind_sdd</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8ad5cc3b-e2f3-48b0-82df-659bf8a22ae1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ad5cc3b-e2f3-48b0-82df-659bf8a22ae1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe88fbc0-5b90-430c-9bdb-b1b672d3a516' class='xr-var-data-in' type='checkbox'><label for='data-fe88fbc0-5b90-430c-9bdb-b1b672d3a516' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>standard deviation of differences of stress-equivalent wind eastward component at 10 m</dd><dt><span>standard_name :</span></dt><dd>eastward_wind_standard_deviation_of_differences</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>5000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[84304281600 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>northward_wind</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7bdf448f-9b83-41ec-8ad8-8f7e5044230f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7bdf448f-9b83-41ec-8ad8-8f7e5044230f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a936860d-d967-49c3-afb7-a63561b8a6ba' class='xr-var-data-in' type='checkbox'><label for='data-a936860d-d967-49c3-afb7-a63561b8a6ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>stress-equivalent wind northward component at 10 m</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>valid_min :</span></dt><dd>-5000</dd><dt><span>valid_max :</span></dt><dd>5000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[84304281600 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>northward_wind_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-73a6c387-ee11-46cd-ba69-c91f6056cf8b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73a6c387-ee11-46cd-ba69-c91f6056cf8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84591a55-6323-4390-8909-0b593a2694b8' class='xr-var-data-in' type='checkbox'><label for='data-84591a55-6323-4390-8909-0b593a2694b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>scatterometer-model bias of stress-equivalent wind northward component at 10 m</dd><dt><span>standard_name :</span></dt><dd>northward_wind_bias</dd><dt><span>valid_min :</span></dt><dd>-5000</dd><dt><span>valid_max :</span></dt><dd>5000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[84304281600 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>northward_wind_sdd</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e4b56291-2642-4071-a603-6a40380722f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4b56291-2642-4071-a603-6a40380722f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f0d1ebe-fa38-4d1a-8573-6bcc0f22f529' class='xr-var-data-in' type='checkbox'><label for='data-9f0d1ebe-fa38-4d1a-8573-6bcc0f22f529' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>standard deviation of differences of stress-equivalent wind northward component at 10 m</dd><dt><span>standard_name :</span></dt><dd>northward_wind_standard_deviation_of_differences</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>5000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[84304281600 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_divergence</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fbebf645-3bf1-441c-b614-c1cc43d795e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fbebf645-3bf1-441c-b614-c1cc43d795e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c665084b-5fe3-4daf-968d-c376bdeaeb8e' class='xr-var-data-in' type='checkbox'><label for='data-c665084b-5fe3-4daf-968d-c376bdeaeb8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>s-1</dd><dt><span>long_name :</span></dt><dd>divergence of stress-equivalent wind at 10 m</dd><dt><span>standard_name :</span></dt><dd>divergence_of_wind</dd><dt><span>valid_min :</span></dt><dd>-5000000</dd><dt><span>valid_max :</span></dt><dd>5000000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[84304281600 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_divergence_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-859c66f8-edf0-4fb1-b70b-577bb5ce763a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-859c66f8-edf0-4fb1-b70b-577bb5ce763a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3152c0d6-0fde-4c19-b162-cebe528217df' class='xr-var-data-in' type='checkbox'><label for='data-3152c0d6-0fde-4c19-b162-cebe528217df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>s-1</dd><dt><span>long_name :</span></dt><dd>scatterometer-model bias of divergence of stress-equivalent wind at 10 m</dd><dt><span>standard_name :</span></dt><dd>divergence_of_wind_bias</dd><dt><span>valid_min :</span></dt><dd>-5000000</dd><dt><span>valid_max :</span></dt><dd>5000000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[84304281600 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_divergence_dv</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c1612836-3952-4078-bbaa-26fb5bdae386' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c1612836-3952-4078-bbaa-26fb5bdae386' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-944098eb-d53f-42ed-af69-98e5334c3701' class='xr-var-data-in' type='checkbox'><label for='data-944098eb-d53f-42ed-af69-98e5334c3701' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>s-2</dd><dt><span>long_name :</span></dt><dd>difference of scatterometer and model variances of divergence of stress-equivalent wind at 10 m</dd><dt><span>standard_name :</span></dt><dd>divergence_of_wind_difference_of_variances</dd><dt><span>valid_min :</span></dt><dd>-5000000</dd><dt><span>valid_max :</span></dt><dd>5000000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[84304281600 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_curl</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a4a8beaf-a638-4cf6-b7ba-fd7c17b21778' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4a8beaf-a638-4cf6-b7ba-fd7c17b21778' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e74959e7-b8b9-4d09-a315-6ef7b7dd0ac2' class='xr-var-data-in' type='checkbox'><label for='data-e74959e7-b8b9-4d09-a315-6ef7b7dd0ac2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>s-1</dd><dt><span>long_name :</span></dt><dd>curl of stress-equivalent wind at 10 m</dd><dt><span>standard_name :</span></dt><dd>atmosphere_relative_vorticity</dd><dt><span>valid_min :</span></dt><dd>-5000000</dd><dt><span>valid_max :</span></dt><dd>5000000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[84304281600 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_curl_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0665be1e-7a82-49c0-a222-b49867758e6e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0665be1e-7a82-49c0-a222-b49867758e6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aeaa412c-2aee-4464-8d34-f24eacd11f5b' class='xr-var-data-in' type='checkbox'><label for='data-aeaa412c-2aee-4464-8d34-f24eacd11f5b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>s-1</dd><dt><span>long_name :</span></dt><dd>scatterometer-model bias of curl of stress-equivalent wind at 10 m</dd><dt><span>standard_name :</span></dt><dd>atmosphere_relative_vorticity_bias</dd><dt><span>valid_min :</span></dt><dd>-5000000</dd><dt><span>valid_max :</span></dt><dd>5000000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[84304281600 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_curl_dv</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9ea72e87-d0a9-4a37-aa47-088e8c47e025' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ea72e87-d0a9-4a37-aa47-088e8c47e025' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08dcbddf-80e6-4620-91c7-3c961f3e574d' class='xr-var-data-in' type='checkbox'><label for='data-08dcbddf-80e6-4620-91c7-3c961f3e574d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>s-2</dd><dt><span>long_name :</span></dt><dd>difference of scatterometer and model variances of curl of stress-equivalent wind at 10 m</dd><dt><span>standard_name :</span></dt><dd>atmosphere_relative_vorticity_difference_of_variances</dd><dt><span>valid_min :</span></dt><dd>-5000000</dd><dt><span>valid_max :</span></dt><dd>5000000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[84304281600 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eastward_stress</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-da1cb45d-f5d2-4bb8-b769-d5a3dbcb8b01' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da1cb45d-f5d2-4bb8-b769-d5a3dbcb8b01' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22b54fba-6df1-4907-91cd-d772167afd09' class='xr-var-data-in' type='checkbox'><label for='data-22b54fba-6df1-4907-91cd-d772167afd09' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>N m-2</dd><dt><span>long_name :</span></dt><dd>surface wind stress eastward component</dd><dt><span>standard_name :</span></dt><dd>surface_downward_eastward_stress</dd><dt><span>valid_min :</span></dt><dd>-5000</dd><dt><span>valid_max :</span></dt><dd>5000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[84304281600 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eastward_stress_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-74cce382-be19-4683-8e4c-007bec304206' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74cce382-be19-4683-8e4c-007bec304206' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d0db3ef-75ff-442e-ad27-6982f6472acb' class='xr-var-data-in' type='checkbox'><label for='data-4d0db3ef-75ff-442e-ad27-6982f6472acb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>N m-2</dd><dt><span>long_name :</span></dt><dd>scatterometer-model bias of surface wind stress eastward component</dd><dt><span>standard_name :</span></dt><dd>surface_downward_eastward_stress_bias</dd><dt><span>valid_min :</span></dt><dd>-5000</dd><dt><span>valid_max :</span></dt><dd>5000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[84304281600 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eastward_stress_sdd</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-29776bba-a782-4294-8c3f-f4bc692a4f7e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29776bba-a782-4294-8c3f-f4bc692a4f7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8024cbcb-ccb8-40ff-a41d-eded0ae1d4b9' class='xr-var-data-in' type='checkbox'><label for='data-8024cbcb-ccb8-40ff-a41d-eded0ae1d4b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>N m-2</dd><dt><span>long_name :</span></dt><dd>standard deviation of differences of surface wind stress eastward component</dd><dt><span>standard_name :</span></dt><dd>surface_downward_eastward_stress_standard_deviation_of_differences</dd><dt><span>valid_min :</span></dt><dd>-5000</dd><dt><span>valid_max :</span></dt><dd>5000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[84304281600 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>northward_stress</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-750f9a34-a873-4add-b2a1-fc1affb535ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-750f9a34-a873-4add-b2a1-fc1affb535ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d2b7a19-7d2c-4555-9678-abc477ba1026' class='xr-var-data-in' type='checkbox'><label for='data-8d2b7a19-7d2c-4555-9678-abc477ba1026' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>N m-2</dd><dt><span>long_name :</span></dt><dd>surface wind stress northward component</dd><dt><span>standard_name :</span></dt><dd>surface_downward_northward_stress</dd><dt><span>valid_min :</span></dt><dd>-5000</dd><dt><span>valid_max :</span></dt><dd>5000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[84304281600 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>northward_stress_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-58bdd77e-31d9-40fb-947b-cb94685065e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58bdd77e-31d9-40fb-947b-cb94685065e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-031ab30a-b760-4d31-8c87-e596001ce54f' class='xr-var-data-in' type='checkbox'><label for='data-031ab30a-b760-4d31-8c87-e596001ce54f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>N m-2</dd><dt><span>long_name :</span></dt><dd>scatterometer-model bias of surface wind stress northward component</dd><dt><span>standard_name :</span></dt><dd>surface_downward_northward_stress_bias</dd><dt><span>valid_min :</span></dt><dd>-5000</dd><dt><span>valid_max :</span></dt><dd>5000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[84304281600 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>northward_stress_sdd</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4cce6543-c3f5-471e-9fa9-61003a89d1fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4cce6543-c3f5-471e-9fa9-61003a89d1fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66965fca-84ed-4a8b-9567-b6c4944b47d0' class='xr-var-data-in' type='checkbox'><label for='data-66965fca-84ed-4a8b-9567-b6c4944b47d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>N m-2</dd><dt><span>long_name :</span></dt><dd>standard deviation of differences of surface wind stress northward component</dd><dt><span>standard_name :</span></dt><dd>surface_downward_northward_stress_standard_deviation_of_differences</dd><dt><span>valid_min :</span></dt><dd>-5000</dd><dt><span>valid_max :</span></dt><dd>5000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[84304281600 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stress_divergence</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dfd9a3b5-ab0f-4fa7-b86c-bc5554e635ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dfd9a3b5-ab0f-4fa7-b86c-bc5554e635ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9626a9c-42c6-4dac-9eac-e1226b67c1b2' class='xr-var-data-in' type='checkbox'><label for='data-b9626a9c-42c6-4dac-9eac-e1226b67c1b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>N m-3</dd><dt><span>long_name :</span></dt><dd>divergence of surface wind stress</dd><dt><span>standard_name :</span></dt><dd>divergence_of_surface_downward_stress</dd><dt><span>valid_min :</span></dt><dd>-500000000</dd><dt><span>valid_max :</span></dt><dd>500000000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[84304281600 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stress_divergence_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7db1879f-aa91-44c2-b3b1-9138f0d2bc6f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7db1879f-aa91-44c2-b3b1-9138f0d2bc6f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b8f9937-ff1e-48c6-85a5-c56049d42408' class='xr-var-data-in' type='checkbox'><label for='data-0b8f9937-ff1e-48c6-85a5-c56049d42408' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>N m-3</dd><dt><span>long_name :</span></dt><dd>scatterometer-model bias of divergence of surface wind stress</dd><dt><span>standard_name :</span></dt><dd>divergence_of_surface_downward_stress_bias</dd><dt><span>valid_min :</span></dt><dd>-500000000</dd><dt><span>valid_max :</span></dt><dd>500000000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[84304281600 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stress_divergence_dv</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-df277fa1-38e7-4513-8ff7-524246dfb460' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df277fa1-38e7-4513-8ff7-524246dfb460' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6221b7a4-6bfc-4d4c-bef0-49bf71c1f177' class='xr-var-data-in' type='checkbox'><label for='data-6221b7a4-6bfc-4d4c-bef0-49bf71c1f177' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>N2 m-6</dd><dt><span>long_name :</span></dt><dd>difference of scatterometer and model variances of divergence of surface wind stress</dd><dt><span>standard_name :</span></dt><dd>divergence_of_surface_downward_stress_difference_of_variances</dd><dt><span>valid_min :</span></dt><dd>-500000000</dd><dt><span>valid_max :</span></dt><dd>500000000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[84304281600 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stress_curl</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e9250ff2-ef5a-4252-b814-b9593f53b1ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e9250ff2-ef5a-4252-b814-b9593f53b1ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa441500-ffe3-44b1-b98f-c7d0bee92739' class='xr-var-data-in' type='checkbox'><label for='data-fa441500-ffe3-44b1-b98f-c7d0bee92739' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>N m-3</dd><dt><span>long_name :</span></dt><dd>curl of surface wind stress</dd><dt><span>standard_name :</span></dt><dd>vertical_component_of_surface_downward_stress_curl</dd><dt><span>valid_min :</span></dt><dd>-500000000</dd><dt><span>valid_max :</span></dt><dd>500000000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[84304281600 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stress_curl_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dbb9d918-0080-441a-8efa-a4891ca13a75' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dbb9d918-0080-441a-8efa-a4891ca13a75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d446b2d5-4d54-4e31-a080-4348ac7bb4f2' class='xr-var-data-in' type='checkbox'><label for='data-d446b2d5-4d54-4e31-a080-4348ac7bb4f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>N m-3</dd><dt><span>long_name :</span></dt><dd>scatterometer-model bias of curl of surface wind stress</dd><dt><span>standard_name :</span></dt><dd>vertical_component_of_surface_downward_stress_curl_bias</dd><dt><span>valid_min :</span></dt><dd>-500000000</dd><dt><span>valid_max :</span></dt><dd>500000000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[84304281600 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stress_curl_dv</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-98ff9dea-f5b6-47f8-9d45-e7e853dbf473' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98ff9dea-f5b6-47f8-9d45-e7e853dbf473' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9675efe6-1541-486e-bd63-87c2cf710023' class='xr-var-data-in' type='checkbox'><label for='data-9675efe6-1541-486e-bd63-87c2cf710023' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>N2 m-6</dd><dt><span>long_name :</span></dt><dd>difference of scatterometer and model variances of curl of surface wind stress</dd><dt><span>standard_name :</span></dt><dd>vertical_component_of_surface_downward_stress_curl_difference_of_variances</dd><dt><span>valid_min :</span></dt><dd>-500000000</dd><dt><span>valid_max :</span></dt><dd>500000000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[84304281600 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>air_density</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a324ee79-0192-45f8-baf8-59e81b7aff06' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a324ee79-0192-45f8-baf8-59e81b7aff06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2ad71c7-58ab-4765-abc5-7a7525755dcb' class='xr-var-data-in' type='checkbox'><label for='data-d2ad71c7-58ab-4765-abc5-7a7525755dcb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg m-3</dd><dt><span>long_name :</span></dt><dd>air density at 10 m</dd><dt><span>standard_name :</span></dt><dd>air_density</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>source 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class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>number of observations used for scatterometer-model bias</dd><dt><span>standard_name :</span></dt><dd>number_of_observations</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[84304281600 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>number_of_observations_divcurl</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e2198cc8-c862-4ec1-8ce2-9db9b77d5336' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2198cc8-c862-4ec1-8ce2-9db9b77d5336' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00184964-f825-43c2-9fed-6f3069fb0d76' class='xr-var-data-in' type='checkbox'><label for='data-00184964-f825-43c2-9fed-6f3069fb0d76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>number of observations used for scatterometer-model divergence and curl bias</dd><dt><span>standard_name :</span></dt><dd>number_of_observations</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[84304281600 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f62c85f0-64c2-463b-b4ba-65828baca169' class='xr-section-summary-in' type='checkbox'  ><label for='section-f62c85f0-64c2-463b-b4ba-65828baca169' class='xr-section-summary' >Attributes: <span>(26)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd> Global Ocean - Wind and Stress - Hourly - From Scatterometer and Model</dd><dt><span>summary :</span></dt><dd>Global ocean 10-m stress-equivalent wind and surface wind stress fields based on the ECMWF operational model winds, bias-corrected using scatterometer observations</dd><dt><span>keywords :</span></dt><dd>ocean winds, wind speed, wind direction, wind stress, divergence, vorticity</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>project :</span></dt><dd>Copernicus Marine Service Wind Thematic Assembly Centre</dd><dt><span>institution :</span></dt><dd>Royal Netherlands Meteorological Institute (KNMI)</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.9375</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.9375</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>0.125</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_min :</span></dt><dd>-179.9375</dd><dt><span>geospatial_lon_max :</span></dt><dd>179.9375</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>0.125</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>processing_level :</span></dt><dd>L4</dd><dt><span>platform :</span></dt><dd>Metop-B, Metop-C</dd><dt><span>platform_vocabulary :</span></dt><dd>CEOS</dd><dt><span>instrument :</span></dt><dd>ASCAT, ASCAT</dd><dt><span>instrument_vocabulary :</span></dt><dd>CEOS</dd><dt><span>model :</span></dt><dd>ECMWF Operational model</dd><dt><span>time_coverage_start :</span></dt><dd>2022-10-25T23:00:00</dd><dt><span>time_coverage_end :</span></dt><dd>2022-10-25T23:00:00</dd><dt><span>references :</span></dt><dd>Copernicus Marine Service Product User Manual CMEMS-TAC-WIND-PUM-012-004, Trindade et al. (2020) doi:10.1109/TGRS.2019.2946019</dd><dt><span>history :</span></dt><dd>N/A</dd><dt><span>date_created :</span></dt><dd>2022-10-26T10:33:53</dd><dt><span>date_modified :</span></dt><dd>2022-10-26T10:33:53</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                         (lat: 1440, lon: 2880, time: 20328)\n",
       "Coordinates:\n",
       "  * lat                             (lat) float32 -89.94 -89.81 ... 89.81 89.94\n",
       "  * lon                             (lon) float32 -179.9 -179.8 ... 179.8 179.9\n",
       "  * time                            (time) datetime64[ns] 2020-07-01 ... 2022...\n",
       "Data variables: (12/27)\n",
       "    eastward_wind                   (time, lat, lon) float32 ...\n",
       "    eastward_wind_bias              (time, lat, lon) float32 ...\n",
       "    eastward_wind_sdd               (time, lat, lon) float32 ...\n",
       "    northward_wind                  (time, lat, lon) float32 ...\n",
       "    northward_wind_bias             (time, lat, lon) float32 ...\n",
       "    northward_wind_sdd              (time, lat, lon) float32 ...\n",
       "    ...                              ...\n",
       "    stress_curl                     (time, lat, lon) float64 ...\n",
       "    stress_curl_bias                (time, lat, lon) float64 ...\n",
       "    stress_curl_dv                  (time, lat, lon) float64 ...\n",
       "    air_density                     (time, lat, lon) float32 ...\n",
       "    number_of_observations          (time, lat, lon) float32 ...\n",
       "    number_of_observations_divcurl  (time, lat, lon) float32 ...\n",
       "Attributes: (12/26)\n",
       "    title:                       Global Ocean - Wind and Stress - Hourly - Fr...\n",
       "    summary:                    Global ocean 10-m stress-equivalent wind and ...\n",
       "    keywords:                   ocean winds, wind speed, wind direction, wind...\n",
       "    Conventions:                CF-1.6, ACDD-1.3\n",
       "    project:                    Copernicus Marine Service Wind Thematic Assem...\n",
       "    institution:                Royal Netherlands Meteorological Institute (K...\n",
       "    ...                         ...\n",
       "    time_coverage_start:        2022-10-25T23:00:00\n",
       "    time_coverage_end:          2022-10-25T23:00:00\n",
       "    references:                 Copernicus Marine Service Product User Manual...\n",
       "    history:                    N/A\n",
       "    date_created:               2022-10-26T10:33:53\n",
       "    date_modified:              2022-10-26T10:33:53"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Connect to datastore\n",
    "data_store = _copernicusmarine_datastore(dataset_id, username, password)\n",
    "ds = xr.open_dataset(data_store)\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b47cd6e9",
   "metadata": {},
   "outputs": [
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       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                         (lat: 1440, lon: 2880, time: 25)\n",
       "Coordinates:\n",
       "  * lat                             (lat) float32 -89.94 -89.81 ... 89.81 89.94\n",
       "  * lon                             (lon) float32 -179.9 -179.8 ... 179.8 179.9\n",
       "  * time                            (time) datetime64[ns] 2022-07-01 ... 2022...\n",
       "Data variables: (12/27)\n",
       "    eastward_wind                   (time, lat, lon) float32 ...\n",
       "    eastward_wind_bias              (time, lat, lon) float32 ...\n",
       "    eastward_wind_sdd               (time, lat, lon) float32 ...\n",
       "    northward_wind                  (time, lat, lon) float32 ...\n",
       "    northward_wind_bias             (time, lat, lon) float32 ...\n",
       "    northward_wind_sdd              (time, lat, lon) float32 ...\n",
       "    ...                              ...\n",
       "    stress_curl                     (time, lat, lon) float64 ...\n",
       "    stress_curl_bias                (time, lat, lon) float64 ...\n",
       "    stress_curl_dv                  (time, lat, lon) float64 ...\n",
       "    air_density                     (time, lat, lon) float32 ...\n",
       "    number_of_observations          (time, lat, lon) float32 ...\n",
       "    number_of_observations_divcurl  (time, lat, lon) float32 ...\n",
       "Attributes: (12/26)\n",
       "    title:                       Global Ocean - Wind and Stress - Hourly - Fr...\n",
       "    summary:                    Global ocean 10-m stress-equivalent wind and ...\n",
       "    keywords:                   ocean winds, wind speed, wind direction, wind...\n",
       "    Conventions:                CF-1.6, ACDD-1.3\n",
       "    project:                    Copernicus Marine Service Wind Thematic Assem...\n",
       "    institution:                Royal Netherlands Meteorological Institute (K...\n",
       "    ...                         ...\n",
       "    time_coverage_start:        2022-10-25T23:00:00\n",
       "    time_coverage_end:          2022-10-25T23:00:00\n",
       "    references:                 Copernicus Marine Service Product User Manual...\n",
       "    history:                    N/A\n",
       "    date_created:               2022-10-26T10:33:53\n",
       "    date_modified:              2022-10-26T10:33:53</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-e7ba682c-6538-4aec-9501-d16ed3dcd403' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e7ba682c-6538-4aec-9501-d16ed3dcd403' 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'>lat</span>: 1440</li><li><span class='xr-has-index'>lon</span>: 2880</li><li><span class='xr-has-index'>time</span>: 25</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-754f5cb6-6650-4cba-895a-d8a7a86bd8a3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-754f5cb6-6650-4cba-895a-d8a7a86bd8a3' 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'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-89.94 -89.81 ... 89.81 89.94</div><input id='attrs-3452195a-914f-4481-84aa-99f129c8222b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3452195a-914f-4481-84aa-99f129c8222b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e406963-33e1-4bd9-8008-6301ea777d1a' class='xr-var-data-in' type='checkbox'><label for='data-7e406963-33e1-4bd9-8008-6301ea777d1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>_ChunkSizes :</span></dt><dd>1440</dd></dl></div><div class='xr-var-data'><pre>array([-89.9375, -89.8125, -89.6875, ...,  89.6875,  89.8125,  89.9375],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.8 ... 179.8 179.9</div><input id='attrs-86fea11d-ccf3-4c49-b430-72aaeb62b5b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86fea11d-ccf3-4c49-b430-72aaeb62b5b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2aa05825-3cfd-43f4-aa88-5719ff960469' class='xr-var-data-in' type='checkbox'><label for='data-2aa05825-3cfd-43f4-aa88-5719ff960469' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>180.0</dd><dt><span>_ChunkSizes :</span></dt><dd>2880</dd></dl></div><div class='xr-var-data'><pre>array([-179.9375, -179.8125, -179.6875, ...,  179.6875,  179.8125,  179.9375],\n",
       "      dtype=float32)</pre></div></li><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'>2022-07-01 ... 2022-07-02</div><input id='attrs-ad864e06-09c8-47b6-8fa1-1709472c0e57' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad864e06-09c8-47b6-8fa1-1709472c0e57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08bd0299-d4ec-42c2-a5e0-127f6b8d0c25' class='xr-var-data-in' type='checkbox'><label for='data-08bd0299-d4ec-42c2-a5e0-127f6b8d0c25' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>validity time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>_ChunkSizes :</span></dt><dd>1024</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-07-01T00:00:00.000000000&#x27;, &#x27;2022-07-01T01:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-01T02:00:00.000000000&#x27;, &#x27;2022-07-01T03:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-01T04:00:00.000000000&#x27;, &#x27;2022-07-01T05:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-01T06:00:00.000000000&#x27;, &#x27;2022-07-01T07:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-01T08:00:00.000000000&#x27;, &#x27;2022-07-01T09:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-01T10:00:00.000000000&#x27;, &#x27;2022-07-01T11:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-01T12:00:00.000000000&#x27;, &#x27;2022-07-01T13:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-01T14:00:00.000000000&#x27;, &#x27;2022-07-01T15:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-01T16:00:00.000000000&#x27;, &#x27;2022-07-01T17:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-01T18:00:00.000000000&#x27;, &#x27;2022-07-01T19:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-01T20:00:00.000000000&#x27;, &#x27;2022-07-01T21:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-01T22:00:00.000000000&#x27;, &#x27;2022-07-01T23:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-02T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-17d98b5d-349c-4203-a0c4-a3e629c5e987' class='xr-section-summary-in' type='checkbox'  ><label for='section-17d98b5d-349c-4203-a0c4-a3e629c5e987' class='xr-section-summary' >Data variables: <span>(27)</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>eastward_wind</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ad7b8cd2-ad1d-4075-bb99-4533bf1f6f35' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad7b8cd2-ad1d-4075-bb99-4533bf1f6f35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5e8de6d-ffd2-419f-8d22-7cc20e13d286' class='xr-var-data-in' type='checkbox'><label for='data-b5e8de6d-ffd2-419f-8d22-7cc20e13d286' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>stress-equivalent wind eastward component at 10 m</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>valid_min :</span></dt><dd>-5000</dd><dt><span>valid_max :</span></dt><dd>5000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[103680000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eastward_wind_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4a3a6186-a88c-4b07-922d-ff0cae384299' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a3a6186-a88c-4b07-922d-ff0cae384299' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d63c6187-fa7e-4672-a706-45addb9cb3dc' class='xr-var-data-in' type='checkbox'><label for='data-d63c6187-fa7e-4672-a706-45addb9cb3dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>scatterometer-model bias of stress-equivalent wind eastward component at 10 m</dd><dt><span>standard_name :</span></dt><dd>eastward_wind_bias</dd><dt><span>valid_min :</span></dt><dd>-5000</dd><dt><span>valid_max :</span></dt><dd>5000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[103680000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eastward_wind_sdd</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-afb0a3d5-745f-4590-9e4b-a88e20b01408' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-afb0a3d5-745f-4590-9e4b-a88e20b01408' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d377c3b-f403-45ef-afdd-7cffd6306b40' class='xr-var-data-in' type='checkbox'><label for='data-6d377c3b-f403-45ef-afdd-7cffd6306b40' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>standard deviation of differences of stress-equivalent wind eastward component at 10 m</dd><dt><span>standard_name :</span></dt><dd>eastward_wind_standard_deviation_of_differences</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>5000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[103680000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>northward_wind</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e81c5939-06fe-40fb-a0c4-917450d66f0b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e81c5939-06fe-40fb-a0c4-917450d66f0b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b485957-759f-4dac-b6b0-d14d8184ea93' class='xr-var-data-in' type='checkbox'><label for='data-7b485957-759f-4dac-b6b0-d14d8184ea93' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>stress-equivalent wind northward component at 10 m</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>valid_min :</span></dt><dd>-5000</dd><dt><span>valid_max :</span></dt><dd>5000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[103680000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>northward_wind_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5c982e3c-cbab-46b6-adb6-7e1bcb418fd0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c982e3c-cbab-46b6-adb6-7e1bcb418fd0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0fcb8e51-2033-4376-ba9c-d2fc20841719' class='xr-var-data-in' type='checkbox'><label for='data-0fcb8e51-2033-4376-ba9c-d2fc20841719' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>scatterometer-model bias of stress-equivalent wind northward component at 10 m</dd><dt><span>standard_name :</span></dt><dd>northward_wind_bias</dd><dt><span>valid_min :</span></dt><dd>-5000</dd><dt><span>valid_max :</span></dt><dd>5000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[103680000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>northward_wind_sdd</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bc056477-70c7-4eda-bf9f-6c891dc5d487' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc056477-70c7-4eda-bf9f-6c891dc5d487' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3792ab0-d603-401e-a228-e88829f5fada' class='xr-var-data-in' type='checkbox'><label for='data-e3792ab0-d603-401e-a228-e88829f5fada' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>standard deviation of differences of stress-equivalent wind northward component at 10 m</dd><dt><span>standard_name :</span></dt><dd>northward_wind_standard_deviation_of_differences</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>5000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[103680000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_divergence</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b578255d-fea1-4ac6-a911-1ae8c5ec89c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b578255d-fea1-4ac6-a911-1ae8c5ec89c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1310cff7-383a-4bbf-a8da-d9010e6c6c3d' class='xr-var-data-in' type='checkbox'><label for='data-1310cff7-383a-4bbf-a8da-d9010e6c6c3d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>s-1</dd><dt><span>long_name :</span></dt><dd>divergence of stress-equivalent wind at 10 m</dd><dt><span>standard_name :</span></dt><dd>divergence_of_wind</dd><dt><span>valid_min :</span></dt><dd>-5000000</dd><dt><span>valid_max :</span></dt><dd>5000000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[103680000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_divergence_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a5f6a525-adb1-409e-a489-51c87f2a39ea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a5f6a525-adb1-409e-a489-51c87f2a39ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-498da8de-41ed-4cfb-8266-04c884a25950' class='xr-var-data-in' type='checkbox'><label for='data-498da8de-41ed-4cfb-8266-04c884a25950' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>s-1</dd><dt><span>long_name :</span></dt><dd>scatterometer-model bias of divergence of stress-equivalent wind at 10 m</dd><dt><span>standard_name :</span></dt><dd>divergence_of_wind_bias</dd><dt><span>valid_min :</span></dt><dd>-5000000</dd><dt><span>valid_max :</span></dt><dd>5000000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[103680000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_divergence_dv</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e0cbd30b-1fd3-402f-9b74-840b88a21ae0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0cbd30b-1fd3-402f-9b74-840b88a21ae0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14bb226c-c3df-4ac4-b06b-2d79accd05e3' class='xr-var-data-in' type='checkbox'><label for='data-14bb226c-c3df-4ac4-b06b-2d79accd05e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>s-2</dd><dt><span>long_name :</span></dt><dd>difference of scatterometer and model variances of divergence of stress-equivalent wind at 10 m</dd><dt><span>standard_name :</span></dt><dd>divergence_of_wind_difference_of_variances</dd><dt><span>valid_min :</span></dt><dd>-5000000</dd><dt><span>valid_max :</span></dt><dd>5000000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[103680000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_curl</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fc83207d-978c-444e-8754-018b3f9a1894' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc83207d-978c-444e-8754-018b3f9a1894' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a8c6098-1843-4a1c-9e9c-dd08c5ef346b' class='xr-var-data-in' type='checkbox'><label for='data-0a8c6098-1843-4a1c-9e9c-dd08c5ef346b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>s-1</dd><dt><span>long_name :</span></dt><dd>curl of stress-equivalent wind at 10 m</dd><dt><span>standard_name :</span></dt><dd>atmosphere_relative_vorticity</dd><dt><span>valid_min :</span></dt><dd>-5000000</dd><dt><span>valid_max :</span></dt><dd>5000000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[103680000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_curl_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3452c95a-6da2-4cb7-8ad5-bc437dacaab6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3452c95a-6da2-4cb7-8ad5-bc437dacaab6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf570271-78ae-49e8-aa59-a2f7893123b5' class='xr-var-data-in' type='checkbox'><label for='data-bf570271-78ae-49e8-aa59-a2f7893123b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>s-1</dd><dt><span>long_name :</span></dt><dd>scatterometer-model bias of curl of stress-equivalent wind at 10 m</dd><dt><span>standard_name :</span></dt><dd>atmosphere_relative_vorticity_bias</dd><dt><span>valid_min :</span></dt><dd>-5000000</dd><dt><span>valid_max :</span></dt><dd>5000000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[103680000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_curl_dv</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-206b95e8-32a4-4867-b3a5-7f3237a40242' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-206b95e8-32a4-4867-b3a5-7f3237a40242' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3946a062-6562-41c1-819f-e38cf35a1698' class='xr-var-data-in' type='checkbox'><label for='data-3946a062-6562-41c1-819f-e38cf35a1698' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>s-2</dd><dt><span>long_name :</span></dt><dd>difference of scatterometer and model variances of curl of stress-equivalent wind at 10 m</dd><dt><span>standard_name :</span></dt><dd>atmosphere_relative_vorticity_difference_of_variances</dd><dt><span>valid_min :</span></dt><dd>-5000000</dd><dt><span>valid_max :</span></dt><dd>5000000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[103680000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eastward_stress</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d69ddfc1-cff2-4cf9-8fd8-5cd12d1464ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d69ddfc1-cff2-4cf9-8fd8-5cd12d1464ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-985d79db-eb44-45a5-80fa-f60c3702d278' class='xr-var-data-in' type='checkbox'><label for='data-985d79db-eb44-45a5-80fa-f60c3702d278' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>N m-2</dd><dt><span>long_name :</span></dt><dd>surface wind stress eastward component</dd><dt><span>standard_name :</span></dt><dd>surface_downward_eastward_stress</dd><dt><span>valid_min :</span></dt><dd>-5000</dd><dt><span>valid_max :</span></dt><dd>5000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[103680000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eastward_stress_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fa3e007e-92cc-46d5-baff-47fdcd18dd74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa3e007e-92cc-46d5-baff-47fdcd18dd74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72847520-a7d8-4714-9180-9a905594f993' class='xr-var-data-in' type='checkbox'><label for='data-72847520-a7d8-4714-9180-9a905594f993' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>N m-2</dd><dt><span>long_name :</span></dt><dd>scatterometer-model bias of surface wind stress eastward component</dd><dt><span>standard_name :</span></dt><dd>surface_downward_eastward_stress_bias</dd><dt><span>valid_min :</span></dt><dd>-5000</dd><dt><span>valid_max :</span></dt><dd>5000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[103680000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eastward_stress_sdd</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a1ceda9f-b9cf-4c8b-a98a-f24ab8622285' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1ceda9f-b9cf-4c8b-a98a-f24ab8622285' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d7e531d-cbc6-45ae-80de-a7402c99e68e' class='xr-var-data-in' type='checkbox'><label for='data-5d7e531d-cbc6-45ae-80de-a7402c99e68e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>N m-2</dd><dt><span>long_name :</span></dt><dd>standard deviation of differences of surface wind stress eastward component</dd><dt><span>standard_name :</span></dt><dd>surface_downward_eastward_stress_standard_deviation_of_differences</dd><dt><span>valid_min :</span></dt><dd>-5000</dd><dt><span>valid_max :</span></dt><dd>5000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[103680000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>northward_stress</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-49f4501b-caaf-446a-99aa-090055dd25b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49f4501b-caaf-446a-99aa-090055dd25b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa568741-ec4c-43e1-bb3d-3eafe91695f4' class='xr-var-data-in' type='checkbox'><label for='data-fa568741-ec4c-43e1-bb3d-3eafe91695f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>N m-2</dd><dt><span>long_name :</span></dt><dd>surface wind stress northward component</dd><dt><span>standard_name :</span></dt><dd>surface_downward_northward_stress</dd><dt><span>valid_min :</span></dt><dd>-5000</dd><dt><span>valid_max :</span></dt><dd>5000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[103680000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>northward_stress_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-601f192f-c806-4928-b3b0-52c483f5394b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-601f192f-c806-4928-b3b0-52c483f5394b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70528ced-d6a5-44e5-a7db-ba45109b72bb' class='xr-var-data-in' type='checkbox'><label for='data-70528ced-d6a5-44e5-a7db-ba45109b72bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>N m-2</dd><dt><span>long_name :</span></dt><dd>scatterometer-model bias of surface wind stress northward component</dd><dt><span>standard_name :</span></dt><dd>surface_downward_northward_stress_bias</dd><dt><span>valid_min :</span></dt><dd>-5000</dd><dt><span>valid_max :</span></dt><dd>5000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[103680000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>northward_stress_sdd</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-433d8f51-698a-43ce-bf9b-b96562e0dfcb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-433d8f51-698a-43ce-bf9b-b96562e0dfcb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cdd5c805-eedc-44f0-adfe-eee0f48c3a71' class='xr-var-data-in' type='checkbox'><label for='data-cdd5c805-eedc-44f0-adfe-eee0f48c3a71' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>N m-2</dd><dt><span>long_name :</span></dt><dd>standard deviation of differences of surface wind stress northward component</dd><dt><span>standard_name :</span></dt><dd>surface_downward_northward_stress_standard_deviation_of_differences</dd><dt><span>valid_min :</span></dt><dd>-5000</dd><dt><span>valid_max :</span></dt><dd>5000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[103680000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stress_divergence</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bee5943e-c9a1-47df-ad44-9773e47de669' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bee5943e-c9a1-47df-ad44-9773e47de669' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53afb318-749c-4454-aa25-6b30d0af3eed' class='xr-var-data-in' type='checkbox'><label for='data-53afb318-749c-4454-aa25-6b30d0af3eed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>N m-3</dd><dt><span>long_name :</span></dt><dd>divergence of surface wind stress</dd><dt><span>standard_name :</span></dt><dd>divergence_of_surface_downward_stress</dd><dt><span>valid_min :</span></dt><dd>-500000000</dd><dt><span>valid_max :</span></dt><dd>500000000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[103680000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stress_divergence_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-25031154-2a90-4e80-ad5e-6bdefcd11be0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25031154-2a90-4e80-ad5e-6bdefcd11be0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e296eca-8b5f-47e0-9280-11946b597986' class='xr-var-data-in' type='checkbox'><label for='data-7e296eca-8b5f-47e0-9280-11946b597986' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>N m-3</dd><dt><span>long_name :</span></dt><dd>scatterometer-model bias of divergence of surface wind stress</dd><dt><span>standard_name :</span></dt><dd>divergence_of_surface_downward_stress_bias</dd><dt><span>valid_min :</span></dt><dd>-500000000</dd><dt><span>valid_max :</span></dt><dd>500000000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[103680000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stress_divergence_dv</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7a979a31-62a7-48b5-a26f-fe020c8bce5c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a979a31-62a7-48b5-a26f-fe020c8bce5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42f71419-51b4-4d01-a5ed-c04246bd4420' class='xr-var-data-in' type='checkbox'><label for='data-42f71419-51b4-4d01-a5ed-c04246bd4420' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>N2 m-6</dd><dt><span>long_name :</span></dt><dd>difference of scatterometer and model variances of divergence of surface wind stress</dd><dt><span>standard_name :</span></dt><dd>divergence_of_surface_downward_stress_difference_of_variances</dd><dt><span>valid_min :</span></dt><dd>-500000000</dd><dt><span>valid_max :</span></dt><dd>500000000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[103680000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stress_curl</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5c2d4c63-ea3c-4ad3-ae00-bbdc3ca40ce7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c2d4c63-ea3c-4ad3-ae00-bbdc3ca40ce7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4978e87e-4b5c-4b1a-b1d1-99a8b09813f2' class='xr-var-data-in' type='checkbox'><label for='data-4978e87e-4b5c-4b1a-b1d1-99a8b09813f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>N m-3</dd><dt><span>long_name :</span></dt><dd>curl of surface wind stress</dd><dt><span>standard_name :</span></dt><dd>vertical_component_of_surface_downward_stress_curl</dd><dt><span>valid_min :</span></dt><dd>-500000000</dd><dt><span>valid_max :</span></dt><dd>500000000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[103680000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stress_curl_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6d4283cd-50cc-4632-944d-0105031d9e4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d4283cd-50cc-4632-944d-0105031d9e4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70083a8f-cff1-4a34-9122-c41733282068' class='xr-var-data-in' type='checkbox'><label for='data-70083a8f-cff1-4a34-9122-c41733282068' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>N m-3</dd><dt><span>long_name :</span></dt><dd>scatterometer-model bias of curl of surface wind stress</dd><dt><span>standard_name :</span></dt><dd>vertical_component_of_surface_downward_stress_curl_bias</dd><dt><span>valid_min :</span></dt><dd>-500000000</dd><dt><span>valid_max :</span></dt><dd>500000000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[103680000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stress_curl_dv</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-15c8bc87-15af-4ad8-b9db-beba57405c8f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15c8bc87-15af-4ad8-b9db-beba57405c8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19c53989-446a-45ad-8098-43fa8be8fcc0' class='xr-var-data-in' type='checkbox'><label for='data-19c53989-446a-45ad-8098-43fa8be8fcc0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>N2 m-6</dd><dt><span>long_name :</span></dt><dd>difference of scatterometer and model variances of curl of surface wind stress</dd><dt><span>standard_name :</span></dt><dd>vertical_component_of_surface_downward_stress_curl_difference_of_variances</dd><dt><span>valid_min :</span></dt><dd>-500000000</dd><dt><span>valid_max :</span></dt><dd>500000000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[103680000 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>air_density</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4f4ac372-8fb5-4d78-a5c5-136b61fe5e5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f4ac372-8fb5-4d78-a5c5-136b61fe5e5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cd69f49-07a1-4ed3-877d-b031274693b4' class='xr-var-data-in' type='checkbox'><label for='data-9cd69f49-07a1-4ed3-877d-b031274693b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kg m-3</dd><dt><span>long_name :</span></dt><dd>air density at 10 m</dd><dt><span>standard_name :</span></dt><dd>air_density</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>source :</span></dt><dd>ECMWF Operational model</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[103680000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>number_of_observations</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a236389c-5788-475a-a455-7044ca830686' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a236389c-5788-475a-a455-7044ca830686' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-661d7b92-e8f7-4082-a58e-633b53bc39b0' class='xr-var-data-in' type='checkbox'><label for='data-661d7b92-e8f7-4082-a58e-633b53bc39b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>number of observations used for scatterometer-model bias</dd><dt><span>standard_name :</span></dt><dd>number_of_observations</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[103680000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>number_of_observations_divcurl</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d4ea8fcf-cd21-48ba-b07c-09da479c2389' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d4ea8fcf-cd21-48ba-b07c-09da479c2389' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a44b64f-056c-4758-8c3d-7607dde78b1e' class='xr-var-data-in' type='checkbox'><label for='data-7a44b64f-056c-4758-8c3d-7607dde78b1e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>number of observations used for scatterometer-model divergence and curl bias</dd><dt><span>standard_name :</span></dt><dd>number_of_observations</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>[103680000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-65c607e7-9973-454d-b9bd-61fd948f0e97' class='xr-section-summary-in' type='checkbox'  ><label for='section-65c607e7-9973-454d-b9bd-61fd948f0e97' class='xr-section-summary' >Attributes: <span>(26)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd> Global Ocean - Wind and Stress - Hourly - From Scatterometer and Model</dd><dt><span>summary :</span></dt><dd>Global ocean 10-m stress-equivalent wind and surface wind stress fields based on the ECMWF operational model winds, bias-corrected using scatterometer observations</dd><dt><span>keywords :</span></dt><dd>ocean winds, wind speed, wind direction, wind stress, divergence, vorticity</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>project :</span></dt><dd>Copernicus Marine Service Wind Thematic Assembly Centre</dd><dt><span>institution :</span></dt><dd>Royal Netherlands Meteorological Institute (KNMI)</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.9375</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.9375</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>0.125</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_min :</span></dt><dd>-179.9375</dd><dt><span>geospatial_lon_max :</span></dt><dd>179.9375</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>0.125</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>processing_level :</span></dt><dd>L4</dd><dt><span>platform :</span></dt><dd>Metop-B, Metop-C</dd><dt><span>platform_vocabulary :</span></dt><dd>CEOS</dd><dt><span>instrument :</span></dt><dd>ASCAT, ASCAT</dd><dt><span>instrument_vocabulary :</span></dt><dd>CEOS</dd><dt><span>model :</span></dt><dd>ECMWF Operational model</dd><dt><span>time_coverage_start :</span></dt><dd>2022-10-25T23:00:00</dd><dt><span>time_coverage_end :</span></dt><dd>2022-10-25T23:00:00</dd><dt><span>references :</span></dt><dd>Copernicus Marine Service Product User Manual CMEMS-TAC-WIND-PUM-012-004, Trindade et al. (2020) doi:10.1109/TGRS.2019.2946019</dd><dt><span>history :</span></dt><dd>N/A</dd><dt><span>date_created :</span></dt><dd>2022-10-26T10:33:53</dd><dt><span>date_modified :</span></dt><dd>2022-10-26T10:33:53</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                         (lat: 1440, lon: 2880, time: 25)\n",
       "Coordinates:\n",
       "  * lat                             (lat) float32 -89.94 -89.81 ... 89.81 89.94\n",
       "  * lon                             (lon) float32 -179.9 -179.8 ... 179.8 179.9\n",
       "  * time                            (time) datetime64[ns] 2022-07-01 ... 2022...\n",
       "Data variables: (12/27)\n",
       "    eastward_wind                   (time, lat, lon) float32 ...\n",
       "    eastward_wind_bias              (time, lat, lon) float32 ...\n",
       "    eastward_wind_sdd               (time, lat, lon) float32 ...\n",
       "    northward_wind                  (time, lat, lon) float32 ...\n",
       "    northward_wind_bias             (time, lat, lon) float32 ...\n",
       "    northward_wind_sdd              (time, lat, lon) float32 ...\n",
       "    ...                              ...\n",
       "    stress_curl                     (time, lat, lon) float64 ...\n",
       "    stress_curl_bias                (time, lat, lon) float64 ...\n",
       "    stress_curl_dv                  (time, lat, lon) float64 ...\n",
       "    air_density                     (time, lat, lon) float32 ...\n",
       "    number_of_observations          (time, lat, lon) float32 ...\n",
       "    number_of_observations_divcurl  (time, lat, lon) float32 ...\n",
       "Attributes: (12/26)\n",
       "    title:                       Global Ocean - Wind and Stress - Hourly - Fr...\n",
       "    summary:                    Global ocean 10-m stress-equivalent wind and ...\n",
       "    keywords:                   ocean winds, wind speed, wind direction, wind...\n",
       "    Conventions:                CF-1.6, ACDD-1.3\n",
       "    project:                    Copernicus Marine Service Wind Thematic Assem...\n",
       "    institution:                Royal Netherlands Meteorological Institute (K...\n",
       "    ...                         ...\n",
       "    time_coverage_start:        2022-10-25T23:00:00\n",
       "    time_coverage_end:          2022-10-25T23:00:00\n",
       "    references:                 Copernicus Marine Service Product User Manual...\n",
       "    history:                    N/A\n",
       "    date_created:               2022-10-26T10:33:53\n",
       "    date_modified:              2022-10-26T10:33:53"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Make temporal subset\n",
    "subset_ds = ds.sel(time=slice(datetime(2022,7,1), datetime(2022,7,2)))\n",
    "subset_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ac074176",
   "metadata": {},
   "outputs": [
    {
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       "}\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",
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       "\n",
       ".xr-section-item input:enabled + label {\n",
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       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
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       "\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",
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       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
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       "  font-size: 11px;\n",
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       "\n",
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       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
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       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
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       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
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       "  margin-bottom: 5px;\n",
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       "\n",
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       "\n",
       ".xr-array-wrap {\n",
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       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
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       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
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       "\n",
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       "  color: var(--xr-font-color3);\n",
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       "\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",
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       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
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       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
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       "\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",
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       "\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",
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       ".xr-var-dims {\n",
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       "\n",
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       ".xr-var-preview {\n",
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       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
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       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
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       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:         (time: 25)\n",
       "Coordinates:\n",
       "    lat             float32 43.44\n",
       "    lon             float32 -3.688\n",
       "  * time            (time) datetime64[ns] 2022-07-01 ... 2022-07-02\n",
       "Data variables:\n",
       "    eastward_wind   (time) float32 0.89 0.86 0.75 -0.41 ... -2.71 -2.54 -2.39\n",
       "    northward_wind  (time) float32 2.17 2.25 2.2 1.67 ... -0.03 0.33 0.63 0.85\n",
       "Attributes: (12/26)\n",
       "    title:                       Global Ocean - Wind and Stress - Hourly - Fr...\n",
       "    summary:                    Global ocean 10-m stress-equivalent wind and ...\n",
       "    keywords:                   ocean winds, wind speed, wind direction, wind...\n",
       "    Conventions:                CF-1.6, ACDD-1.3\n",
       "    project:                    Copernicus Marine Service Wind Thematic Assem...\n",
       "    institution:                Royal Netherlands Meteorological Institute (K...\n",
       "    ...                         ...\n",
       "    time_coverage_start:        2022-10-25T23:00:00\n",
       "    time_coverage_end:          2022-10-25T23:00:00\n",
       "    references:                 Copernicus Marine Service Product User Manual...\n",
       "    history:                    N/A\n",
       "    date_created:               2022-10-26T10:33:53\n",
       "    date_modified:              2022-10-26T10:33:53</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-792706c4-9f5e-4fda-b45b-35fdde53d127' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-792706c4-9f5e-4fda-b45b-35fdde53d127' 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>: 25</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-23ae08c8-de4a-419d-b05e-4f30280a0995' class='xr-section-summary-in' type='checkbox'  checked><label for='section-23ae08c8-de4a-419d-b05e-4f30280a0995' 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>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>43.44</div><input id='attrs-59830157-4ff6-4fa5-9c1b-2baaee44eca4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-59830157-4ff6-4fa5-9c1b-2baaee44eca4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71a71dd6-94af-4199-a625-96961e37d18e' class='xr-var-data-in' type='checkbox'><label for='data-71a71dd6-94af-4199-a625-96961e37d18e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>valid_min :</span></dt><dd>-90.0</dd><dt><span>valid_max :</span></dt><dd>90.0</dd><dt><span>_ChunkSizes :</span></dt><dd>1440</dd></dl></div><div class='xr-var-data'><pre>array(43.4375, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-3.688</div><input id='attrs-1159402f-ac1f-4bb1-9f9e-5b2cd83b0737' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1159402f-ac1f-4bb1-9f9e-5b2cd83b0737' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41cd760d-1417-4cc8-9c11-5507d3b6c8c7' class='xr-var-data-in' type='checkbox'><label for='data-41cd760d-1417-4cc8-9c11-5507d3b6c8c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>valid_min :</span></dt><dd>-180.0</dd><dt><span>valid_max :</span></dt><dd>180.0</dd><dt><span>_ChunkSizes :</span></dt><dd>2880</dd></dl></div><div class='xr-var-data'><pre>array(-3.6875, dtype=float32)</pre></div></li><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'>2022-07-01 ... 2022-07-02</div><input id='attrs-effc2a2d-39fc-41be-8330-73de82cb7760' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-effc2a2d-39fc-41be-8330-73de82cb7760' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b27b224-b317-4a2c-b605-71b75d1da191' class='xr-var-data-in' type='checkbox'><label for='data-1b27b224-b317-4a2c-b605-71b75d1da191' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>long_name :</span></dt><dd>validity time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>_ChunkSizes :</span></dt><dd>1024</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2022-07-01T00:00:00.000000000&#x27;, &#x27;2022-07-01T01:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-01T02:00:00.000000000&#x27;, &#x27;2022-07-01T03:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-01T04:00:00.000000000&#x27;, &#x27;2022-07-01T05:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-01T06:00:00.000000000&#x27;, &#x27;2022-07-01T07:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-01T08:00:00.000000000&#x27;, &#x27;2022-07-01T09:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-01T10:00:00.000000000&#x27;, &#x27;2022-07-01T11:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-01T12:00:00.000000000&#x27;, &#x27;2022-07-01T13:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-01T14:00:00.000000000&#x27;, &#x27;2022-07-01T15:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-01T16:00:00.000000000&#x27;, &#x27;2022-07-01T17:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-01T18:00:00.000000000&#x27;, &#x27;2022-07-01T19:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-01T20:00:00.000000000&#x27;, &#x27;2022-07-01T21:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-01T22:00:00.000000000&#x27;, &#x27;2022-07-01T23:00:00.000000000&#x27;,\n",
       "       &#x27;2022-07-02T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-06ef13fa-9e85-4588-a5a3-b1f94639bed0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-06ef13fa-9e85-4588-a5a3-b1f94639bed0' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>eastward_wind</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3dab08ee-faf4-4770-93a0-34e427cb7345' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3dab08ee-faf4-4770-93a0-34e427cb7345' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6f918bc-e8a0-4e17-ad33-3bc2dc3ec3df' class='xr-var-data-in' type='checkbox'><label for='data-b6f918bc-e8a0-4e17-ad33-3bc2dc3ec3df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>stress-equivalent wind eastward component at 10 m</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>valid_min :</span></dt><dd>-5000</dd><dt><span>valid_max :</span></dt><dd>5000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>array([ 0.89,  0.86,  0.75, -0.41, -0.57, -0.52, -0.66, -0.93, -1.86, -2.92,\n",
       "       -3.51, -4.12, -4.53, -4.95, -5.23, -5.03, -4.78, -4.41, -4.17, -3.54,\n",
       "       -3.23, -2.88, -2.71, -2.54, -2.39], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>northward_wind</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4cc3fb50-2b97-49dc-9664-c13ef046106f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4cc3fb50-2b97-49dc-9664-c13ef046106f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbda1565-d3f9-417c-802d-fbbc0914210c' class='xr-var-data-in' type='checkbox'><label for='data-dbda1565-d3f9-417c-802d-fbbc0914210c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>long_name :</span></dt><dd>stress-equivalent wind northward component at 10 m</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>valid_min :</span></dt><dd>-5000</dd><dt><span>valid_max :</span></dt><dd>5000</dd><dt><span>_ChunkSizes :</span></dt><dd>[1, 720, 1440]</dd></dl></div><div class='xr-var-data'><pre>array([ 2.17,  2.25,  2.2 ,  1.67,  1.52,  1.58,  1.68,  0.76, -0.18, -0.65,\n",
       "       -1.02, -1.68, -2.55, -2.95, -2.59, -2.09, -2.14, -1.68, -1.29, -0.66,\n",
       "       -0.33, -0.03,  0.33,  0.63,  0.85], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0462817d-6b15-45c8-a304-b5f616e8169f' class='xr-section-summary-in' type='checkbox'  ><label for='section-0462817d-6b15-45c8-a304-b5f616e8169f' class='xr-section-summary' >Attributes: <span>(26)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd> Global Ocean - Wind and Stress - Hourly - From Scatterometer and Model</dd><dt><span>summary :</span></dt><dd>Global ocean 10-m stress-equivalent wind and surface wind stress fields based on the ECMWF operational model winds, bias-corrected using scatterometer observations</dd><dt><span>keywords :</span></dt><dd>ocean winds, wind speed, wind direction, wind stress, divergence, vorticity</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>project :</span></dt><dd>Copernicus Marine Service Wind Thematic Assembly Centre</dd><dt><span>institution :</span></dt><dd>Royal Netherlands Meteorological Institute (KNMI)</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.9375</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.9375</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>0.125</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_min :</span></dt><dd>-179.9375</dd><dt><span>geospatial_lon_max :</span></dt><dd>179.9375</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>0.125</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>processing_level :</span></dt><dd>L4</dd><dt><span>platform :</span></dt><dd>Metop-B, Metop-C</dd><dt><span>platform_vocabulary :</span></dt><dd>CEOS</dd><dt><span>instrument :</span></dt><dd>ASCAT, ASCAT</dd><dt><span>instrument_vocabulary :</span></dt><dd>CEOS</dd><dt><span>model :</span></dt><dd>ECMWF Operational model</dd><dt><span>time_coverage_start :</span></dt><dd>2022-10-25T23:00:00</dd><dt><span>time_coverage_end :</span></dt><dd>2022-10-25T23:00:00</dd><dt><span>references :</span></dt><dd>Copernicus Marine Service Product User Manual CMEMS-TAC-WIND-PUM-012-004, Trindade et al. (2020) doi:10.1109/TGRS.2019.2946019</dd><dt><span>history :</span></dt><dd>N/A</dd><dt><span>date_created :</span></dt><dd>2022-10-26T10:33:53</dd><dt><span>date_modified :</span></dt><dd>2022-10-26T10:33:53</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:         (time: 25)\n",
       "Coordinates:\n",
       "    lat             float32 43.44\n",
       "    lon             float32 -3.688\n",
       "  * time            (time) datetime64[ns] 2022-07-01 ... 2022-07-02\n",
       "Data variables:\n",
       "    eastward_wind   (time) float32 ...\n",
       "    northward_wind  (time) float32 ...\n",
       "Attributes: (12/26)\n",
       "    title:                       Global Ocean - Wind and Stress - Hourly - Fr...\n",
       "    summary:                    Global ocean 10-m stress-equivalent wind and ...\n",
       "    keywords:                   ocean winds, wind speed, wind direction, wind...\n",
       "    Conventions:                CF-1.6, ACDD-1.3\n",
       "    project:                    Copernicus Marine Service Wind Thematic Assem...\n",
       "    institution:                Royal Netherlands Meteorological Institute (K...\n",
       "    ...                         ...\n",
       "    time_coverage_start:        2022-10-25T23:00:00\n",
       "    time_coverage_end:          2022-10-25T23:00:00\n",
       "    references:                 Copernicus Marine Service Product User Manual...\n",
       "    history:                    N/A\n",
       "    date_created:               2022-10-26T10:33:53\n",
       "    date_modified:              2022-10-26T10:33:53"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Select 1 variable of the 17 available\n",
    "subset_ds = subset_ds.get([\"eastward_wind\",\"northward_wind\"])\n",
    "\n",
    "# # You need to use dataset class to write in several netcdf files... I do not know if you can do it with datarray class.\n",
    "# subset_ds = subset_ds.to_dataset()\n",
    "\n",
    "# Make spatial subset to nearest input point\n",
    "subset_ds = subset_ds.sel(lon=-3.75, lat=43.48, method=\"nearest\")\n",
    "subset_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "1d1c44e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot\n",
    "subset_ds[\"eastward_wind\"].plot()\n",
    "subset_ds[\"northward_wind\"].plot()\n",
    "\n",
    "df = subset_ds.to_dataframe()\n",
    "df.to_csv(\"wind.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "cbaa6da2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Write netcdf\n",
    "subset_ds.to_netcdf(\"VHM0.nc\")\n",
    "\n",
    "# Write daily netcdf\n",
    "paths = to_daily_netcdf(ds = subset_ds, output_path=\"VHM0.nc\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "09a24054",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>VHM0</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1999-01-01 00:00:00</th>\n",
       "      <td>36.900002</td>\n",
       "      <td>-6.6</td>\n",
       "      <td>2.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-01-01 01:00:00</th>\n",
       "      <td>36.900002</td>\n",
       "      <td>-6.6</td>\n",
       "      <td>2.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-01-01 02:00:00</th>\n",
       "      <td>36.900002</td>\n",
       "      <td>-6.6</td>\n",
       "      <td>2.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-01-01 03:00:00</th>\n",
       "      <td>36.900002</td>\n",
       "      <td>-6.6</td>\n",
       "      <td>2.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-01-01 04:00:00</th>\n",
       "      <td>36.900002</td>\n",
       "      <td>-6.6</td>\n",
       "      <td>1.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-01-31 20:00:00</th>\n",
       "      <td>36.900002</td>\n",
       "      <td>-6.6</td>\n",
       "      <td>0.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-01-31 21:00:00</th>\n",
       "      <td>36.900002</td>\n",
       "      <td>-6.6</td>\n",
       "      <td>0.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-01-31 22:00:00</th>\n",
       "      <td>36.900002</td>\n",
       "      <td>-6.6</td>\n",
       "      <td>0.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-01-31 23:00:00</th>\n",
       "      <td>36.900002</td>\n",
       "      <td>-6.6</td>\n",
       "      <td>0.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999-02-01 00:00:00</th>\n",
       "      <td>36.900002</td>\n",
       "      <td>-6.6</td>\n",
       "      <td>0.30</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>745 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      latitude  longitude  VHM0\n",
       "time                                           \n",
       "1999-01-01 00:00:00  36.900002       -6.6  2.28\n",
       "1999-01-01 01:00:00  36.900002       -6.6  2.17\n",
       "1999-01-01 02:00:00  36.900002       -6.6  2.09\n",
       "1999-01-01 03:00:00  36.900002       -6.6  2.02\n",
       "1999-01-01 04:00:00  36.900002       -6.6  1.98\n",
       "...                        ...        ...   ...\n",
       "1999-01-31 20:00:00  36.900002       -6.6  0.23\n",
       "1999-01-31 21:00:00  36.900002       -6.6  0.28\n",
       "1999-01-31 22:00:00  36.900002       -6.6  0.30\n",
       "1999-01-31 23:00:00  36.900002       -6.6  0.30\n",
       "1999-02-01 00:00:00  36.900002       -6.6  0.30\n",
       "\n",
       "[745 rows x 3 columns]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Convert to Pandas DataFrame\n",
    "df = subset_ds.to_dataframe()\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "40e6edd5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Export to other formats... \n",
    "df.to_csv(\"VHM0.csv\")\n",
    "df.to_html(\"VHM0.html\")\n",
    "\n",
    "# Check arguments in libraries docuemntation for more options...\n",
    "df.to_json(\"VHM0.json\", orient=\"records\", indent=4)"
   ]
  }
 ],
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