2020-11-C3S-climate-indices.ipynb

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    "# Tutorial on creating a climate index for wind chill\n",
    "In this tutorial we will plot a map of wind chill over Europe using regional climate reanalysis data (UERRA) of wind speed and temperature. From the WEkEO Jupyterhub we will download this data from the Climate Data Store (CDS) of the Copernicus Climate Change Service (C3S). The tutorial comprises the following steps:\n",
    "\n",
    "1. [Search and download](#search_download) regional climate reanalysis data (UERRA) of 10m wind speed and 2m temperature.\n",
    "2. [Read data](#read_data): Once downloaded, we will read and understand the data, including its variables and coordinates.\n",
    "3. [Calculate wind chill index](#wind_chill): We will calculate the wind chill index from the two parameters of wind speed and temperature, and view a map of average wind chill over Europe.\n",
    "4. [Calculate wind chill with ERA5](#era5): In order to assess the reliability of the results, repeat the process with ERA5 reanalysis data and compare the results with those derived with UERRA."
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    "<img src='./img/climate_indices.png' align='center' width='100%'></img>"
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    "## <a id='search_download'></a>1. Search and download data\n",
    "\n",
    "Before we begin we must prepare our environment. This includes installing the Application Programming Interface (API) of the CDS, and importing the various python libraries that we will need.\n",
    "\n",
    "#### Install CDS API\n",
    "\n",
    "To install the CDS API, run the following command. We use an exclamation mark to pass the command to the shell (not to the Python interpreter)."
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      "Installing collected packages: cdsapi\n",
      "Successfully installed cdsapi-0.3.1\n"
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    "!pip install cdsapi"
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    "#### Import libraries\n",
    "\n",
    "We will be working with data in NetCDF format. To best handle this data we need a number of libraries for working with multidimensional arrays, in particular Xarray. We will also need libraries for plotting and viewing data, in particular Matplotlib and Cartopy."
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   "source": [
    "# CDS API\n",
    "import cdsapi\n",
    "\n",
    "# Libraries for working with multidimensional arrays\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "\n",
    "# Libraries for plotting and visualising data\n",
    "import matplotlib.path as mpath\n",
    "import matplotlib.pyplot as plt\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.feature as cfeature"
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   "source": [
    "#### Enter your CDS API key\n",
    "\n",
    "Please follow the steps at this link to obtain a User ID and a CDS API key:\n",
    "https://cds.climate.copernicus.eu/api-how-to\n",
    "\n",
    "Once you have these, please enter them in the fields below by replacing \"UID\" with your User ID, and \"API_KEY\" with your API key."
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   "source": [
    "CDS_URL = \"https://cds.climate.copernicus.eu/api/v2\"\n",
    "\n",
    "# enter your CDS authentication key:\n",
    "CDS_KEY = \"UID:API_KEY\""
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    "#### Search for climate data to calculate wind chill index\n",
    "\n",
    "The wind chill index we will calculate takes two parameters as input, these are 2m near-surface air temperature, and 10m wind speed. Data for these parameters are available as part of the UERRA regional reanalysis dataset for Europe for the period 1961 to 2019. We will search for this data on the CDS website: http://cds.climate.copernicus.eu. The specific dataset we will use is the UERRA regional reanalysis for Europe on single levels from 1961 to 2019. \n",
    "\n",
    "<img src='./img/CDS.jpg' align='left' width='45%'></img> <img src='./img/CDS_UERRA.png' align='right' width='45%'></img> "
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    "Having selected the dataset, we now need to specify what product type, variables, temporal and geographic coverage we are interested in. These can all be selected in the **\"Download data\"** tab. In this tab a form appears in which we will select the following parameters to download:\n",
    "\n",
    "- Origin: `UERRA-HARMONIE`\n",
    "- Variable: `10m wind speed` and `2m temperature` (these will need to be selected one at a time)\n",
    "- Year: `1998 to 2019`\n",
    "- Month: `December`\n",
    "- Day: `15`\n",
    "- Time: `12:00`\n",
    "- Format: `NetCDF`\n",
    "\n",
    "<img src='./img/CDS_UERRA_download.png' align='center' width='45%'></img>\n",
    "\n",
    "At the end of the download form, select **\"Show API request\"**. This will reveal a block of code, which you can simply copy and paste into a cell of your Jupyter Notebook (see cells below). You will do this twice: once for 10m wind speed and again for 2m temperature.\n",
    "\n",
    "#### Download data\n",
    "\n",
    "Having copied the API requests into the cells below, run these to retrieve and download the data you requested into your local directory."
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   "cell_type": "code",
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     "text": [
      "2020-11-05 15:58:20,821 INFO Welcome to the CDS\n",
      "2020-11-05 15:58:20,822 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-uerra-europe-single-levels\n",
      "2020-11-05 15:58:20,934 INFO Request is completed\n",
      "2020-11-05 15:58:20,934 INFO Downloading http://136.156.133.39/cache-compute-0012/cache/data2/adaptor.uerra_mars.external-1604449976.2407827-31809-37-d2561767-2584-42ed-bbaf-1b63bfb142e1.nc to UERRA_ws10m.nc (30.5M)\n",
      "2020-11-05 15:58:23,718 INFO Download rate 10.9M/s    \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Result(content_length=31943019,content_type=application/x-netcdf,location=http://136.156.133.39/cache-compute-0012/cache/data2/adaptor.uerra_mars.external-1604449976.2407827-31809-37-d2561767-2584-42ed-bbaf-1b63bfb142e1.nc)"
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     "execution_count": 3,
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    "c = cdsapi.Client(url=CDS_URL, key=CDS_KEY)\n",
    "c.retrieve(\n",
    "    'reanalysis-uerra-europe-single-levels',\n",
    "    {\n",
    "        'origin': 'uerra_harmonie',\n",
    "        'variable': '10m_wind_speed',\n",
    "        'year': [\n",
    "            '1998', '1999', '2000',\n",
    "            '2001', '2002', '2003',\n",
    "            '2004', '2005', '2006',\n",
    "            '2007', '2008', '2009',\n",
    "            '2010', '2011', '2012',\n",
    "            '2013', '2014', '2015',\n",
    "            '2016', '2017', '2018',\n",
    "        ],\n",
    "        'month': '12',\n",
    "        'day': '15',\n",
    "        'time': '12:00',\n",
    "        'format': 'netcdf',\n",
    "    },\n",
    "    'UERRA_ws10m.nc')"
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   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
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     "name": "stderr",
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     "text": [
      "2020-11-05 18:40:20,745 INFO Welcome to the CDS\n",
      "2020-11-05 18:40:20,746 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-uerra-europe-single-levels\n",
      "2020-11-05 18:40:20,876 INFO Request is queued\n",
      "2020-11-05 18:40:21,907 INFO Request is running\n",
      "2020-11-05 21:40:57,390 INFO Request is completed\n",
      "2020-11-05 21:40:57,391 INFO Downloading http://136.156.133.41/cache-compute-0013/cache/data0/adaptor.uerra_mars.external-1604601621.6686652-29515-18-92b83ead-d617-4726-b1b8-6d7603d908a1.nc to UERRA_t2m.nc (30.5M)\n",
      "2020-11-05 21:41:00,166 INFO Download rate 11M/s      \n"
     ]
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     "data": {
      "text/plain": [
       "Result(content_length=31943023,content_type=application/x-netcdf,location=http://136.156.133.41/cache-compute-0013/cache/data0/adaptor.uerra_mars.external-1604601621.6686652-29515-18-92b83ead-d617-4726-b1b8-6d7603d908a1.nc)"
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     "execution_count": 7,
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    "c = cdsapi.Client(url=CDS_URL, key=CDS_KEY)\n",
    "c.retrieve(\n",
    "    'reanalysis-uerra-europe-single-levels',\n",
    "    {\n",
    "        'origin': 'uerra_harmonie',\n",
    "        'variable': '2m_temperature',\n",
    "        'year': [\n",
    "            '1998', '1999', '2000',\n",
    "            '2001', '2002', '2003',\n",
    "            '2004', '2005', '2006',\n",
    "            '2007', '2008', '2009',\n",
    "            '2010', '2011', '2012',\n",
    "            '2013', '2014', '2015',\n",
    "            '2016', '2017', '2018',\n",
    "        ],\n",
    "        'month': '12',\n",
    "        'day': '15',\n",
    "        'time': '12:00',\n",
    "        'format': 'netcdf',\n",
    "    },\n",
    "    'UERRA_t2m.nc')"
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   "source": [
    "## <a id='read_data'></a>2. Read Data\n",
    "\n",
    "Now that we have downloaded the data, we can start to play ...\n",
    "\n",
    "We have requested the data in NetCDF format. This is a commonly used format for array-oriented scientific data. \n",
    "\n",
    "To read and process this data we will make use of the Xarray library. Xarray is an open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun! We will read the data from our NetCDF file into an Xarray **\"dataset\"**"
   ]
  },
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   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "fw = 'UERRA_ws10m.nc'\n",
    "ft = 'UERRA_t2m.nc'\n",
    "# Create Xarray Dataset\n",
    "dw = xr.open_dataset(fw)\n",
    "dt = xr.open_dataset(ft)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can query our newly created Xarray datasets ..."
   ]
  },
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   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
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       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt, 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: 21, x: 565, y: 565)\n",
       "Coordinates:\n",
       "  * time               (time) datetime64[ns] 1998-12-15T12:00:00 ... 2018-12-...\n",
       "    step               timedelta64[ns] 00:00:00\n",
       "    heightAboveGround  int64 10\n",
       "    latitude           (y, x) float64 ...\n",
       "    longitude          (y, x) float64 ...\n",
       "    valid_time         (time) datetime64[ns] 1998-12-15T12:00:00 ... 2018-12-...\n",
       "Dimensions without coordinates: x, y\n",
       "Data variables:\n",
       "    si10               (time, y, x) float32 ...\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             eswi\n",
       "    GRIB_centreDescription:  Norrkoping\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             Norrkoping\n",
       "    history:                 2020-10-30T04:28:47 GRIB to CDM+CF via cfgrib-0....</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-85aa493b-b8b3-40d2-8958-be6c0d5f1966' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-85aa493b-b8b3-40d2-8958-be6c0d5f1966' 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>: 21</li><li><span>x</span>: 565</li><li><span>y</span>: 565</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a2c6df53-696f-41ee-be4d-9e0dce0706b6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a2c6df53-696f-41ee-be4d-9e0dce0706b6' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-12-15T12:00:00 ... 2018-12-...</div><input id='attrs-bb931ff3-58a2-47f6-8d76-da4faa99b317' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb931ff3-58a2-47f6-8d76-da4faa99b317' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f8dc30a-8959-4d6d-9ce3-b7bdb006307d' class='xr-var-data-in' type='checkbox'><label for='data-9f8dc30a-8959-4d6d-9ce3-b7bdb006307d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-12-15T12:00:00.000000000&#x27;, &#x27;1999-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-12-15T12:00:00.000000000&#x27;, &#x27;2001-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-12-15T12:00:00.000000000&#x27;, &#x27;2003-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-12-15T12:00:00.000000000&#x27;, &#x27;2005-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2006-12-15T12:00:00.000000000&#x27;, &#x27;2007-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2008-12-15T12:00:00.000000000&#x27;, &#x27;2009-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2010-12-15T12:00:00.000000000&#x27;, &#x27;2011-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2012-12-15T12:00:00.000000000&#x27;, &#x27;2013-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2014-12-15T12:00:00.000000000&#x27;, &#x27;2015-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2016-12-15T12:00:00.000000000&#x27;, &#x27;2017-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-12-15T12:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e662f80c-a7a8-40a0-8182-db973c9f0f22' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e662f80c-a7a8-40a0-8182-db973c9f0f22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-232624d9-46ee-44cd-8d6b-21720d6a9e9a' class='xr-var-data-in' type='checkbox'><label for='data-232624d9-46ee-44cd-8d6b-21720d6a9e9a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heightAboveGround</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3403f08f-d4e2-4fa4-8afb-681d61136d5d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3403f08f-d4e2-4fa4-8afb-681d61136d5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8dc1c718-3b39-43a6-ba79-2115b9f5db41' class='xr-var-data-in' type='checkbox'><label for='data-8dc1c718-3b39-43a6-ba79-2115b9f5db41' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>height above the surface</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(10, dtype=int64)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-74a3cdc7-f020-483a-87b1-3e2f16b37803' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74a3cdc7-f020-483a-87b1-3e2f16b37803' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f39cd2b-115b-47d1-9576-83adbbfbcff2' class='xr-var-data-in' type='checkbox'><label for='data-7f39cd2b-115b-47d1-9576-83adbbfbcff2' 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>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>[319225 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a0bb971b-9a6f-4818-8a43-3f6274556792' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0bb971b-9a6f-4818-8a43-3f6274556792' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-823417f8-b4b4-4d9e-9ff0-3dd33de0c7a5' class='xr-var-data-in' type='checkbox'><label for='data-823417f8-b4b4-4d9e-9ff0-3dd33de0c7a5' 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>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>[319225 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_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'>...</div><input id='attrs-ab126401-80ea-4424-912b-bef64bf65f04' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab126401-80ea-4424-912b-bef64bf65f04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7df2be3-619d-4636-b1d0-3c81953ca6a2' class='xr-var-data-in' type='checkbox'><label for='data-f7df2be3-619d-4636-b1d0-3c81953ca6a2' 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>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-12-15T12:00:00.000000000&#x27;, &#x27;1999-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-12-15T12:00:00.000000000&#x27;, &#x27;2001-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-12-15T12:00:00.000000000&#x27;, &#x27;2003-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-12-15T12:00:00.000000000&#x27;, &#x27;2005-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2006-12-15T12:00:00.000000000&#x27;, &#x27;2007-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2008-12-15T12:00:00.000000000&#x27;, &#x27;2009-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2010-12-15T12:00:00.000000000&#x27;, &#x27;2011-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2012-12-15T12:00:00.000000000&#x27;, &#x27;2013-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2014-12-15T12:00:00.000000000&#x27;, &#x27;2015-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2016-12-15T12:00:00.000000000&#x27;, &#x27;2017-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-12-15T12:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ab7c0de1-0b1f-4fdb-b477-a34cd5ba89d4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ab7c0de1-0b1f-4fdb-b477-a34cd5ba89d4' class='xr-section-summary' >Data variables: <span>(1)</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>si10</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b0dea9fc-fdbf-4fe8-a611-54374f6e903f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0dea9fc-fdbf-4fe8-a611-54374f6e903f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86840beb-b772-40b1-a363-e68cb66488ce' class='xr-var-data-in' type='checkbox'><label for='data-86840beb-b772-40b1-a363-e68cb66488ce' 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>GRIB_paramId :</span></dt><dd>207</dd><dt><span>GRIB_shortName :</span></dt><dd>10si</dd><dt><span>GRIB_units :</span></dt><dd>m s**-1</dd><dt><span>GRIB_name :</span></dt><dd>10 metre wind speed</dd><dt><span>GRIB_cfVarName :</span></dt><dd>si10</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>319225</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>heightAboveGround</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>lambert</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Lambert conformal </dd><dt><span>GRIB_LaDInDegrees :</span></dt><dd>48.0</dd><dt><span>GRIB_LoVInDegrees :</span></dt><dd>8.0</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>1</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>17.612</dd><dt><span>GRIB_latitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>341.68</dd><dt><span>GRIB_longitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_DyInMetres :</span></dt><dd>11000.0</dd><dt><span>GRIB_DxInMetres :</span></dt><dd>11000.0</dd><dt><span>GRIB_Latin2InDegrees :</span></dt><dd>48.0</dd><dt><span>GRIB_Latin1InDegrees :</span></dt><dd>48.0</dd><dt><span>GRIB_Ny :</span></dt><dd>565</dd><dt><span>GRIB_Nx :</span></dt><dd>565</dd><dt><span>long_name :</span></dt><dd>10 metre wind speed</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><pre>[6703725 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8f726830-277c-4a7d-99ad-6c8a284aceca' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8f726830-277c-4a7d-99ad-6c8a284aceca' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>GRIB_edition :</span></dt><dd>2</dd><dt><span>GRIB_centre :</span></dt><dd>eswi</dd><dt><span>GRIB_centreDescription :</span></dt><dd>Norrkoping</dd><dt><span>GRIB_subCentre :</span></dt><dd>0</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>institution :</span></dt><dd>Norrkoping</dd><dt><span>history :</span></dt><dd>2020-10-30T04:28:47 GRIB to CDM+CF via cfgrib-0.9.8.4/ecCodes-2.16.0 with {&quot;source&quot;: &quot;/cache/tmp/02ab5bbe-029a-4a20-956e-0ca7fe9a819d-adaptor.uerra_mars.external-1604025091.3490286-18901-8-tmp.grib&quot;, &quot;filter_by_keys&quot;: {}, &quot;encode_cf&quot;: [&quot;parameter&quot;, &quot;time&quot;, &quot;geography&quot;, &quot;vertical&quot;]}</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:            (time: 21, x: 565, y: 565)\n",
       "Coordinates:\n",
       "  * time               (time) datetime64[ns] 1998-12-15T12:00:00 ... 2018-12-...\n",
       "    step               timedelta64[ns] ...\n",
       "    heightAboveGround  int64 ...\n",
       "    latitude           (y, x) float64 ...\n",
       "    longitude          (y, x) float64 ...\n",
       "    valid_time         (time) datetime64[ns] ...\n",
       "Dimensions without coordinates: x, y\n",
       "Data variables:\n",
       "    si10               (time, y, x) float32 ...\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             eswi\n",
       "    GRIB_centreDescription:  Norrkoping\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             Norrkoping\n",
       "    history:                 2020-10-30T04:28:47 GRIB to CDM+CF via cfgrib-0...."
      ]
     },
     "execution_count": 3,
     "metadata": {},
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    }
   ],
   "source": [
    "dw"
   ]
  },
  {
   "cell_type": "code",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:            (time: 21, x: 565, y: 565)\n",
       "Coordinates:\n",
       "  * time               (time) datetime64[ns] 1998-12-15T12:00:00 ... 2018-12-...\n",
       "    step               timedelta64[ns] 00:00:00\n",
       "    heightAboveGround  int64 2\n",
       "    latitude           (y, x) float64 ...\n",
       "    longitude          (y, x) float64 ...\n",
       "    valid_time         (time) datetime64[ns] 1998-12-15T12:00:00 ... 2018-12-...\n",
       "Dimensions without coordinates: x, y\n",
       "Data variables:\n",
       "    t2m                (time, y, x) float32 ...\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             eswi\n",
       "    GRIB_centreDescription:  Norrkoping\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             Norrkoping\n",
       "    history:                 2020-10-30T04:29:00 GRIB to CDM+CF via cfgrib-0....</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-74a3310c-4b65-43a4-9ef6-ea2fc6b4d8f9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-74a3310c-4b65-43a4-9ef6-ea2fc6b4d8f9' 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>: 21</li><li><span>x</span>: 565</li><li><span>y</span>: 565</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-249e0a7c-dd94-42d6-8424-9a45b88c1eec' class='xr-section-summary-in' type='checkbox'  checked><label for='section-249e0a7c-dd94-42d6-8424-9a45b88c1eec' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1998-12-15T12:00:00 ... 2018-12-...</div><input id='attrs-378c8b0f-6c82-44ef-b846-06edd6a12072' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-378c8b0f-6c82-44ef-b846-06edd6a12072' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43187f54-e709-44a3-af8c-c194d9a086fb' class='xr-var-data-in' type='checkbox'><label for='data-43187f54-e709-44a3-af8c-c194d9a086fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-12-15T12:00:00.000000000&#x27;, &#x27;1999-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-12-15T12:00:00.000000000&#x27;, &#x27;2001-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-12-15T12:00:00.000000000&#x27;, &#x27;2003-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-12-15T12:00:00.000000000&#x27;, &#x27;2005-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2006-12-15T12:00:00.000000000&#x27;, &#x27;2007-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2008-12-15T12:00:00.000000000&#x27;, &#x27;2009-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2010-12-15T12:00:00.000000000&#x27;, &#x27;2011-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2012-12-15T12:00:00.000000000&#x27;, &#x27;2013-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2014-12-15T12:00:00.000000000&#x27;, &#x27;2015-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2016-12-15T12:00:00.000000000&#x27;, &#x27;2017-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-12-15T12:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bf989ca9-2da3-4029-861c-7c43dba4f05d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf989ca9-2da3-4029-861c-7c43dba4f05d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b7073b4-bc63-450d-ac16-aa7ef4e3448e' class='xr-var-data-in' type='checkbox'><label for='data-9b7073b4-bc63-450d-ac16-aa7ef4e3448e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd></dl></div><div class='xr-var-data'><pre>array(0, dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heightAboveGround</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7b0e5109-32d9-4bcd-8a5c-7b28803c067a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b0e5109-32d9-4bcd-8a5c-7b28803c067a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea5858a7-2bcb-48c3-9701-4d8e82edf6d6' class='xr-var-data-in' type='checkbox'><label for='data-ea5858a7-2bcb-48c3-9701-4d8e82edf6d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>height above the surface</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(2, dtype=int64)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d0b1fd5d-6f2e-4a6c-afa7-0600db7d4341' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0b1fd5d-6f2e-4a6c-afa7-0600db7d4341' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-806b4bd9-9302-45f8-8b34-5dd68b69e1de' class='xr-var-data-in' type='checkbox'><label for='data-806b4bd9-9302-45f8-8b34-5dd68b69e1de' 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>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>[319225 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2c6193c0-8701-4bb9-9e6d-d5bedac91ff1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c6193c0-8701-4bb9-9e6d-d5bedac91ff1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb9c0494-e573-4448-b057-963c0117d881' class='xr-var-data-in' type='checkbox'><label for='data-eb9c0494-e573-4448-b057-963c0117d881' 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>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>[319225 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_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'>...</div><input id='attrs-401a63e3-43c6-4f18-b555-bbe707a38f0b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-401a63e3-43c6-4f18-b555-bbe707a38f0b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d77209f-3d5e-44ce-aa7e-f57daeb5e234' class='xr-var-data-in' type='checkbox'><label for='data-9d77209f-3d5e-44ce-aa7e-f57daeb5e234' 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>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1998-12-15T12:00:00.000000000&#x27;, &#x27;1999-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2000-12-15T12:00:00.000000000&#x27;, &#x27;2001-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2002-12-15T12:00:00.000000000&#x27;, &#x27;2003-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2004-12-15T12:00:00.000000000&#x27;, &#x27;2005-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2006-12-15T12:00:00.000000000&#x27;, &#x27;2007-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2008-12-15T12:00:00.000000000&#x27;, &#x27;2009-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2010-12-15T12:00:00.000000000&#x27;, &#x27;2011-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2012-12-15T12:00:00.000000000&#x27;, &#x27;2013-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2014-12-15T12:00:00.000000000&#x27;, &#x27;2015-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2016-12-15T12:00:00.000000000&#x27;, &#x27;2017-12-15T12:00:00.000000000&#x27;,\n",
       "       &#x27;2018-12-15T12:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c1c03ed0-3d27-46f6-80a0-6236da2d8ee4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c1c03ed0-3d27-46f6-80a0-6236da2d8ee4' class='xr-section-summary' >Data variables: <span>(1)</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>t2m</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8febbab2-3504-4e32-8220-8546b1d233c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8febbab2-3504-4e32-8220-8546b1d233c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa6de1eb-f6d7-4f00-ba64-0dc303593098' class='xr-var-data-in' type='checkbox'><label for='data-fa6de1eb-f6d7-4f00-ba64-0dc303593098' 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>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_cfName :</span></dt><dd>air_temperature</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>319225</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>heightAboveGround</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>lambert</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Lambert conformal </dd><dt><span>GRIB_LaDInDegrees :</span></dt><dd>48.0</dd><dt><span>GRIB_LoVInDegrees :</span></dt><dd>8.0</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>1</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>17.612</dd><dt><span>GRIB_latitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>341.68</dd><dt><span>GRIB_longitudeOfSouthernPoleInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_DyInMetres :</span></dt><dd>11000.0</dd><dt><span>GRIB_DxInMetres :</span></dt><dd>11000.0</dd><dt><span>GRIB_Latin2InDegrees :</span></dt><dd>48.0</dd><dt><span>GRIB_Latin1InDegrees :</span></dt><dd>48.0</dd><dt><span>GRIB_Ny :</span></dt><dd>565</dd><dt><span>GRIB_Nx :</span></dt><dd>565</dd><dt><span>long_name :</span></dt><dd>2 metre temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd></dl></div><div class='xr-var-data'><pre>[6703725 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-eebe82f2-6433-4252-b5cc-884f4579508b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-eebe82f2-6433-4252-b5cc-884f4579508b' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>GRIB_edition :</span></dt><dd>2</dd><dt><span>GRIB_centre :</span></dt><dd>eswi</dd><dt><span>GRIB_centreDescription :</span></dt><dd>Norrkoping</dd><dt><span>GRIB_subCentre :</span></dt><dd>0</dd><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>institution :</span></dt><dd>Norrkoping</dd><dt><span>history :</span></dt><dd>2020-10-30T04:29:00 GRIB to CDM+CF via cfgrib-0.9.8.4/ecCodes-2.16.0 with {&quot;source&quot;: &quot;/cache/tmp/27abf96d-bf5e-4a71-99dd-e56d36bf31f5-adaptor.uerra_mars.external-1604032130.1548948-28197-8-tmp.grib&quot;, &quot;filter_by_keys&quot;: {}, &quot;encode_cf&quot;: [&quot;parameter&quot;, &quot;time&quot;, &quot;geography&quot;, &quot;vertical&quot;]}</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:            (time: 21, x: 565, y: 565)\n",
       "Coordinates:\n",
       "  * time               (time) datetime64[ns] 1998-12-15T12:00:00 ... 2018-12-...\n",
       "    step               timedelta64[ns] ...\n",
       "    heightAboveGround  int64 ...\n",
       "    latitude           (y, x) float64 ...\n",
       "    longitude          (y, x) float64 ...\n",
       "    valid_time         (time) datetime64[ns] ...\n",
       "Dimensions without coordinates: x, y\n",
       "Data variables:\n",
       "    t2m                (time, y, x) float32 ...\n",
       "Attributes:\n",
       "    GRIB_edition:            2\n",
       "    GRIB_centre:             eswi\n",
       "    GRIB_centreDescription:  Norrkoping\n",
       "    GRIB_subCentre:          0\n",
       "    Conventions:             CF-1.7\n",
       "    institution:             Norrkoping\n",
       "    history:                 2020-10-30T04:29:00 GRIB to CDM+CF via cfgrib-0...."
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that dw (dataset for wind speed) has one variable called **\"si10\"**. If you view the documentation for this dataset on the CDS you will see that this is the wind speed valid for a grid cell at the height of 10m above the surface. It is computed from both the zonal (u) and the meridional (v) wind components by $\\sqrt{(u^{2} + v^{2})}$. The units are m/s.\n",
    "\n",
    "The other dataset, dt (2m temperature), has a variable called **\"t2m\"**. According to the documentation on the CDS this is air temperature valid for a grid cell at the height of 2m above the surface, in units of Kelvin.\n",
    "\n",
    "While an Xarray **dataset** may contain multiple variables, an Xarray **data array** holds a single multi-dimensional variable and its coordinates. To make the processing of the **si10** and **t2m** data easier, we will convert them into Xarray data arrays."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create Xarray Data Arrays\n",
    "aw = dw['si10']\n",
    "at = dt['t2m']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <a id='wind_chill'></a>3. Calculate wind chill index\n",
    "There are several indices to calculate wind chill based on air temperature and wind speed. Until recently, a commonly applied index was the following:\n",
    "\n",
    "$\\textit{WCI} = (10 \\sqrt{\\upsilon}-\\upsilon + 10.5) \\cdot (33 - \\textit{T}_{a})$\n",
    "\n",
    "where:\n",
    "- WCI = wind chill index, $kg*cal/m^{2}/h$\n",
    "- $\\upsilon$ = wind velocity, m/s\n",
    "- $\\textit{T}_{a}$ = air temperature, °C\n",
    "\n",
    "We will use the more recently adopted North American and United Kingdom wind chill index, which is calculated as follows:\n",
    "\n",
    "$\\textit{T}_{WC} = 13.12 + 0.6215\\textit{T}_{a} - 11.37\\upsilon^{0.16} + 0.3965\\textit{T}_{a}\\upsilon^{0.16}$\n",
    "\n",
    "where:\n",
    "- $\\textit{T}_{WC}$ = wind chill index\n",
    "- $\\textit{T}_{a}$ = air temperature in degrees Celsius\n",
    "- $\\upsilon$ = wind speed at 10 m standard anemometer height, in kilometres per hour"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To calculate $\\textit{T}_{WC}$ we first have to ensure our data is in the right units. For the wind speed we need to convert from m/s to km/h, and for air temperature we need to convert from Kelvin to degrees Celsius:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# wind speed, convert from m/s to km/h: si10 * 1000 / (60*60)\n",
    "w = aw * 3600 / 1000\n",
    "# air temperature, convert from Kelvin to Celsius: t2m - 273.15\n",
    "t = at - 273.15"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can calculate the North American and United Kingdom wind chill index:\n",
    "$\\textit{T}_{WC} = 13.12 + 0.6215\\textit{T}_{a} - 11.37\\upsilon^{0.16} + 0.3965\\textit{T}_{a}\\upsilon^{0.16}$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "twc = 13.12 + (0.6215*t) - (11.37*(w**0.16)) + (0.3965*t*(w**0.16))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's calculate the average wind chill for 12:00 on 15 December for the 20 year period from 1998 to 2019:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "twc_mean = twc.mean(dim='time')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's plot the average wind chill for this time over Europe:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create the figure panel \n",
    "fig = plt.figure(figsize=(10,10))\n",
    "# create the map using the cartopy Orthographic projection\n",
    "ax = plt.subplot(1,1,1, projection=ccrs.Orthographic(central_longitude=8., central_latitude=42.))\n",
    "# add coastlines\n",
    "ax.coastlines()\n",
    "ax.gridlines(draw_labels=False, linewidth=1, color='gray', alpha=0.5, linestyle='--')\n",
    "# provide a title\n",
    "ax.set_title('Wind Chill Index 12:00, 15 Dec, 1998 to 2019')\n",
    "# plot twc\n",
    "im = plt.pcolormesh(twc_mean.longitude, twc_mean.latitude,\n",
    "                    twc_mean, cmap='viridis', transform=ccrs.PlateCarree())\n",
    "# add colourbar\n",
    "cbar = plt.colorbar(im)\n",
    "cbar.set_label('Wind Chill Index')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Can you identify areas where frostbite may occur (see chart below)?\n",
    "\n",
    "<img src='./img/Windchill_effect_en.svg' align='left' width='60%'></img>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "RicHard-59, CC BY-SA 3.0 <https://creativecommons.org/licenses/by-sa/3.0>, via Wikimedia Commons"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <a id='era5'></a>4. Exercise: Repeat process with ERA5 data and compare results\n",
    "So far you have plotted wind chill using the UERRA regional reanalysis dataset, but how accurate is this plot? One way to assess a dataset is to compare it with an alternative independent one to see what differences there may be. An alternative to UERRA is the ERA5 reanalysis data that you used in the previous tutorials. Repeat the steps above with ERA5 and compare your results with those obtained using UERRA."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>"
   ]
  }
 ],
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