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    "# Multisource datasets integration: population weighted temperature from ERA5 and "
   ]
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    "This notebook will provide you guidance on how to access and use the \n",
    "[ERA5 single level](https://earthdatahub.destine.eu/collections/era5/datasets/reanalysis-era5-single-levels)\n",
    "dataset on Earth Data Hub, together with the Hybrid gridded demographic data for the world dataset\n",
    "[worldwide demographic](https://earthdatahub.destine.eu/collections/derived-GPWv4-Histsoc/datasets/demographics-hybrid-1950-2020-15-min).\n",
    "\n",
    "ERA5 single level data contains variables describing the global climate and weather for the past 8 decades. \n",
    "Data is available from 1940 onwards on a regular lat-lon grid of 0.25 degrees.\n",
    "\n",
    "The Hybrid gridded demographic totals for the world contains the 1950-2020 demographic given as 5-year population bands at a 0.25 degree grid resolution.\n",
    "\n",
    "## Goal of this tutorial\n",
    "\n",
    "The goal of this tutorial is to visualize the area-averaged temperature in Europe as a function of time, and compare it with the population-averaged temperature.\n",
    "\n",
    "## What you will learn:\n",
    "* how to access the data\n",
    "* select and reduce the data\n",
    "* use different datasets together\n",
    "* plot the results\n",
    "\n",
    "***\n",
    "\n",
    "To access datasets on [Earth Data Hub](https://earthdatahub.destine.eu) (EDH) you need to instruct your tools (xarray, Zarr, etc.) to use EDH personal access token when downloading the data.\n",
    "\n",
    "To obtain a personal access token you first need to register to the [Destination Earth platform](https://platform.destine.eu) platform. Then you can go to [Earth Data Hub account settings](https://earthdatahub.destine.eu/account-settings) where you can find your default personal access token or create others. After retrieving your personal access token, please cut and paste it below: ⤵"
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    "PAT = \"your_EHD_personal_access_token\"\n",
    "\n",
    "# e.g. PAT=\"edh_pat_44bbb7e9192a4c6bb47ddf07d07564eee5d17de8dfc48f7118f88e3bc4a4157f8fe2403f5aa0a2d53441b6922ea9a33a\""
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   "source": [
    "## Working with EDH data\n",
    "Datasets on Earth Data Hub are often very large and remotely hosted. Typical use imply a selection of the data followed by one or more reduction steps to be performed in a local or distributed Dask environment.\n",
    "\n",
    "The structure of a workflow that uses EDH data typically looks like this:\n",
    "\n",
    "1. Data access \n",
    "2. Data selection\n",
    "3. Data reduction (optional)\n",
    "4. Data download\n",
    "5. Further operations and visualisation\n",
    "\n",
    "[Xarray](https://docs.xarray.dev/en/stable) and [Dask](https://www.dask.org) work together following a lazy principle. This means that when you access and manipulate a Zarr store the data is in not immediately downloaded and loaded in memory. Instead, Dask constructs a task graph that represents the operations to be performed. \n",
    "A smart user will first reduce the amount of data that needs to be downloaded and explicitly call `compute()`\n",
    " on it. Once the `compute()`\n",
    " operation is complete the data is loaded into memory and available for subsequent fast processing."
   ]
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   "source": [
    "### 1. Data access\n",
    "\n",
    "To access the data, only the dataset metadata must be downloaded. Xarray does this automatically when you access a Zarr dataset."
   ]
  },
  {
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   "id": "5",
   "metadata": {},
   "source": [
    "#### *Preparing the population data*"
   ]
  },
  {
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   "execution_count": null,
   "id": "6",
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       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;demographic_totals&#x27; (latitude: 720, longitude: 1440,\n",
       "                                        age_band_lower_bound: 14, year: 71)&gt; Size: 4GB\n",
       "dask.array&lt;open_dataset-demographic_totals, shape=(720, 1440, 14, 71), dtype=float32, chunksize=(64, 64, 14, 71), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * latitude              (latitude) float64 6kB 90.0 89.75 ... -89.5 -89.75\n",
       "  * longitude             (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8\n",
       "  * age_band_lower_bound  (age_band_lower_bound) int64 112B 0 5 10 ... 55 60 65\n",
       "  * year                  (year) int64 568B 1950 1951 1952 ... 2018 2019 2020</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-obj-name'>&#x27;demographic_totals&#x27;</div><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 720</li><li><span class='xr-has-index'>longitude</span>: 1440</li><li><span class='xr-has-index'>age_band_lower_bound</span>: 14</li><li><span class='xr-has-index'>year</span>: 71</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-edfafae3-adc8-4776-b761-d06ea3c5d903' class='xr-array-in' type='checkbox' checked><label for='section-edfafae3-adc8-4776-b761-d06ea3c5d903' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(64, 64, 14, 71), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 3.84 GiB </td>\n",
       "                        <td> 15.53 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
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       "                        <td> (64, 64, 14, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 276 chunks in 2 graph layers </td>\n",
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       "</table></div></div></li><li class='xr-section-item'><input id='section-e256534e-5ae5-4e17-8064-07b79359ca0f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e256534e-5ae5-4e17-8064-07b79359ca0f' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>90.0 89.75 89.5 ... -89.5 -89.75</div><input id='attrs-604fc419-60a4-4fe9-a3a0-597a34204513' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-604fc419-60a4-4fe9-a3a0-597a34204513' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85decb87-29b9-49bd-9230-333e11b420ba' class='xr-var-data-in' type='checkbox'><label for='data-85decb87-29b9-49bd-9230-333e11b420ba' 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'></dl></div><div class='xr-var-data'><pre>array([ 90.  ,  89.75,  89.5 , ..., -89.25, -89.5 , -89.75], shape=(720,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.25 0.5 ... 359.2 359.5 359.8</div><input id='attrs-e3f88b5a-0dc7-4841-8cc2-b7776b5a40f4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e3f88b5a-0dc7-4841-8cc2-b7776b5a40f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7aa9f152-fa74-4a37-a102-2fbc82603369' class='xr-var-data-in' type='checkbox'><label for='data-7aa9f152-fa74-4a37-a102-2fbc82603369' 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'></dl></div><div class='xr-var-data'><pre>array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02,\n",
       "       3.5975e+02], shape=(1440,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>age_band_lower_bound</span></div><div class='xr-var-dims'>(age_band_lower_bound)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 5 10 15 20 25 ... 45 50 55 60 65</div><input id='attrs-de290918-185c-408d-aae4-8948d4e04b41' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-de290918-185c-408d-aae4-8948d4e04b41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a1e1938-ffae-4437-bbcc-da2a0c4498da' class='xr-var-data-in' type='checkbox'><label for='data-9a1e1938-ffae-4437-bbcc-da2a0c4498da' 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'></dl></div><div class='xr-var-data'><pre>array([ 0,  5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>year</span></div><div class='xr-var-dims'>(year)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1950 1951 1952 ... 2018 2019 2020</div><input id='attrs-4ff6c173-ef85-4ea6-9977-354f43aa1d2b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4ff6c173-ef85-4ea6-9977-354f43aa1d2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f2677ed-9c58-4085-a242-2ac0df2bd14a' class='xr-var-data-in' type='checkbox'><label for='data-0f2677ed-9c58-4085-a242-2ac0df2bd14a' 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'></dl></div><div class='xr-var-data'><pre>array([1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959, 1960, 1961,\n",
       "       1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969, 1970, 1971, 1972, 1973,\n",
       "       1974, 1975, 1976, 1977, 1978, 1979, 1980, 1981, 1982, 1983, 1984, 1985,\n",
       "       1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997,\n",
       "       1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009,\n",
       "       2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020])</pre></div></li></ul></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'demographic_totals' (latitude: 720, longitude: 1440,\n",
       "                                        age_band_lower_bound: 14, year: 71)> Size: 4GB\n",
       "dask.array<open_dataset-demographic_totals, shape=(720, 1440, 14, 71), dtype=float32, chunksize=(64, 64, 14, 71), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * latitude              (latitude) float64 6kB 90.0 89.75 ... -89.5 -89.75\n",
       "  * longitude             (longitude) float64 12kB 0.0 0.25 0.5 ... 359.5 359.8\n",
       "  * age_band_lower_bound  (age_band_lower_bound) int64 112B 0 5 10 ... 55 60 65\n",
       "  * year                  (year) int64 568B 1950 1951 1952 ... 2018 2019 2020"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import xarray as xr\n",
    "\n",
    "world_population = xr.open_dataset(\n",
    "    f\"https://edh:{PAT}@data.earthdatahub.destine.eu/derived-GPWv4-Histsoc/demographics-hybrid-1950-2020-15-min-v0\",\n",
    "    chunks={},\n",
    "    engine=\"zarr\",\n",
    "    storage_options={\"client_kwargs\": {\"trust_env\": True}},\n",
    ")\n",
    "world_population = world_population.demographic_totals\n",
    "world_population"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7",
   "metadata": {},
   "source": [
    "The longitude of the dataset is set from 0 to 360 degrees, which makes it uncomfortable to deal with data in the European area when using xarray:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f46a19ab7a0>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "world_population.sel(age_band_lower_bound=0, year=2020).plot(vmax=50_000, cmap=\"YlGnBu_r\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9",
   "metadata": {},
   "source": [
    "We can roll the longitude to a -180 to 180 extent:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "10",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  );\n",
       "  --xr-font-color3: var(\n",
       "    --jp-content-font-color3,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
       "  );\n",
       "  --xr-border-color: var(\n",
       "    --jp-border-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
       "  );\n",
       "  --xr-disabled-color: var(\n",
       "    --jp-layout-color3,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
       "  );\n",
       "  --xr-background-color: var(\n",
       "    --jp-layout-color0,\n",
       "    var(--pst-color-on-background, #111111)\n",
       "  );\n",
       "  --xr-background-color-row-even: var(\n",
       "    --jp-layout-color1,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
       "  );\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "  line-height: 1.6;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-obj-name,\n",
       ".xr-group-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-group-name::before {\n",
       "  content: \"📁\";\n",
       "  padding-right: 0.3em;\n",
       "}\n",
       "\n",
       ".xr-group-name,\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 0 20px 0 20px;\n",
       "  margin-block-start: 0;\n",
       "  margin-block-end: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: inline-block;\n",
       "  opacity: 0;\n",
       "  height: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "  border: 2px solid transparent !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:focus + label {\n",
       "  border: 2px solid var(--xr-font-color0) !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: \"►\";\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: \"▼\";\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-top: 4px;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-group-box {\n",
       "  display: inline-grid;\n",
       "  grid-template-columns: 0px 20px auto;\n",
       "  width: 100%;\n",
       "}\n",
       "\n",
       ".xr-group-box-vline {\n",
       "  grid-column-start: 1;\n",
       "  border-right: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "  width: 0px;\n",
       "}\n",
       "\n",
       ".xr-group-box-hline {\n",
       "  grid-column-start: 2;\n",
       "  grid-row-start: 1;\n",
       "  height: 1em;\n",
       "  width: 20px;\n",
       "  border-bottom: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-group-box-contents {\n",
       "  grid-column-start: 3;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  border-color: var(--xr-background-color-row-odd);\n",
       "  margin-bottom: 0;\n",
       "  padding-top: 2px;\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",
       "  border-color: var(--xr-background-color-row-even);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;demographic_totals&#x27; (latitude: 720, longitude: 1440,\n",
       "                                        age_band_lower_bound: 14, year: 71)&gt; Size: 4GB\n",
       "dask.array&lt;rechunk-merge, shape=(720, 1440, 14, 71), dtype=float32, chunksize=(64, 64, 14, 71), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * latitude              (latitude) float64 6kB 90.0 89.75 ... -89.5 -89.75\n",
       "  * longitude             (longitude) float64 12kB -180.0 -179.8 ... 179.5 179.8\n",
       "  * age_band_lower_bound  (age_band_lower_bound) int64 112B 0 5 10 ... 55 60 65\n",
       "  * year                  (year) int64 568B 1950 1951 1952 ... 2018 2019 2020</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-obj-name'>&#x27;demographic_totals&#x27;</div><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 720</li><li><span class='xr-has-index'>longitude</span>: 1440</li><li><span class='xr-has-index'>age_band_lower_bound</span>: 14</li><li><span class='xr-has-index'>year</span>: 71</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c2c3392a-ff16-4773-96c6-3b7db86f6376' class='xr-array-in' type='checkbox' checked><label for='section-c2c3392a-ff16-4773-96c6-3b7db86f6376' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(64, 64, 14, 71), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 3.84 GiB </td>\n",
       "                        <td> 15.53 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
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       "                        <td> (720, 1440, 14, 71) </td>\n",
       "                        <td> (64, 64, 14, 71) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 276 chunks in 6 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "  <line x1=\"130\" y1=\"0\" x2=\"164\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"133\" y1=\"3\" x2=\"167\" y2=\"3\" />\n",
       "  <line x1=\"136\" y1=\"6\" x2=\"170\" y2=\"6\" />\n",
       "  <line x1=\"139\" y1=\"9\" x2=\"173\" y2=\"9\" />\n",
       "  <line x1=\"142\" y1=\"12\" x2=\"176\" y2=\"12\" />\n",
       "  <line x1=\"145\" y1=\"15\" x2=\"180\" y2=\"15\" />\n",
       "  <line x1=\"148\" y1=\"18\" x2=\"183\" y2=\"18\" />\n",
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       "  <line x1=\"161\" y1=\"31\" x2=\"195\" y2=\"31\" />\n",
       "  <line x1=\"164\" y1=\"34\" x2=\"198\" y2=\"34\" />\n",
       "  <line x1=\"167\" y1=\"37\" x2=\"202\" y2=\"37\" />\n",
       "  <line x1=\"170\" y1=\"40\" x2=\"205\" y2=\"40\" />\n",
       "  <line x1=\"173\" y1=\"43\" x2=\"208\" y2=\"43\" />\n",
       "  <line x1=\"177\" y1=\"47\" x2=\"211\" y2=\"47\" />\n",
       "  <line x1=\"180\" y1=\"50\" x2=\"214\" y2=\"50\" />\n",
       "  <line x1=\"183\" y1=\"53\" x2=\"217\" y2=\"53\" />\n",
       "  <line x1=\"186\" y1=\"56\" x2=\"220\" y2=\"56\" />\n",
       "  <line x1=\"189\" y1=\"59\" x2=\"224\" y2=\"59\" />\n",
       "  <line x1=\"192\" y1=\"62\" x2=\"227\" y2=\"62\" />\n",
       "  <line x1=\"195\" y1=\"65\" x2=\"230\" y2=\"65\" />\n",
       "  <line x1=\"199\" y1=\"69\" x2=\"233\" y2=\"69\" />\n",
       "  <line x1=\"200\" y1=\"70\" x2=\"235\" y2=\"70\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"130\" y1=\"0\" x2=\"200\" y2=\"70\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"164\" y1=\"0\" x2=\"235\" y2=\"70\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"130.0,0.0 164.41536200310776,0.0 235.0035972972254,70.58823529411765 200.58823529411765,70.58823529411765\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"200\" y1=\"70\" x2=\"235\" y2=\"70\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"200\" y1=\"96\" x2=\"235\" y2=\"96\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"200\" y1=\"70\" x2=\"200\" y2=\"96\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"235\" y1=\"70\" x2=\"235\" y2=\"96\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"200.58823529411765,70.58823529411765 235.0035972972254,70.58823529411765 235.0035972972254,96.00085180870013 200.58823529411765,96.00085180870013\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"217.79591629567153\" y=\"116.00085180870013\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >71</text>\n",
       "  <text x=\"255.0035972972254\" y=\"83.29454355140889\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,255.0035972972254,83.29454355140889)\">14</text>\n",
       "  <text x=\"155.29411764705884\" y=\"80.70673416164131\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,155.29411764705884,80.70673416164131)\">1440</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-a0b77612-7698-4a1e-9fd9-58960f36919d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a0b77612-7698-4a1e-9fd9-58960f36919d' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>90.0 89.75 89.5 ... -89.5 -89.75</div><input id='attrs-8d3176e4-3074-464b-87c2-10d828baeb62' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8d3176e4-3074-464b-87c2-10d828baeb62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01d0d6bc-cec7-4938-82be-2124394a58c5' class='xr-var-data-in' type='checkbox'><label for='data-01d0d6bc-cec7-4938-82be-2124394a58c5' 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'></dl></div><div class='xr-var-data'><pre>array([ 90.  ,  89.75,  89.5 , ..., -89.25, -89.5 , -89.75], shape=(720,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -179.8 ... 179.5 179.8</div><input id='attrs-6d012100-32ac-454d-ab8f-789b1416d4e8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6d012100-32ac-454d-ab8f-789b1416d4e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1ee22a5-f076-40d0-aa4f-63f6b273757b' class='xr-var-data-in' type='checkbox'><label for='data-d1ee22a5-f076-40d0-aa4f-63f6b273757b' 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'></dl></div><div class='xr-var-data'><pre>array([-180.  , -179.75, -179.5 , ...,  179.25,  179.5 ,  179.75],\n",
       "      shape=(1440,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>age_band_lower_bound</span></div><div class='xr-var-dims'>(age_band_lower_bound)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 5 10 15 20 25 ... 45 50 55 60 65</div><input id='attrs-e9ea23c9-f8c8-4ad8-a1c3-a202f1317dd3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e9ea23c9-f8c8-4ad8-a1c3-a202f1317dd3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7705c4b4-17a8-4c6f-977c-a4b34817ac5a' class='xr-var-data-in' type='checkbox'><label for='data-7705c4b4-17a8-4c6f-977c-a4b34817ac5a' 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'></dl></div><div class='xr-var-data'><pre>array([ 0,  5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>year</span></div><div class='xr-var-dims'>(year)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1950 1951 1952 ... 2018 2019 2020</div><input id='attrs-86d0ce56-a4cf-4de8-9140-696706c50e8f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-86d0ce56-a4cf-4de8-9140-696706c50e8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a74582f-900b-482a-a346-e0b6bccd99e3' class='xr-var-data-in' type='checkbox'><label for='data-7a74582f-900b-482a-a346-e0b6bccd99e3' 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'></dl></div><div class='xr-var-data'><pre>array([1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959, 1960, 1961,\n",
       "       1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969, 1970, 1971, 1972, 1973,\n",
       "       1974, 1975, 1976, 1977, 1978, 1979, 1980, 1981, 1982, 1983, 1984, 1985,\n",
       "       1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997,\n",
       "       1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009,\n",
       "       2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020])</pre></div></li></ul></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'demographic_totals' (latitude: 720, longitude: 1440,\n",
       "                                        age_band_lower_bound: 14, year: 71)> Size: 4GB\n",
       "dask.array<rechunk-merge, shape=(720, 1440, 14, 71), dtype=float32, chunksize=(64, 64, 14, 71), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * latitude              (latitude) float64 6kB 90.0 89.75 ... -89.5 -89.75\n",
       "  * longitude             (longitude) float64 12kB -180.0 -179.8 ... 179.5 179.8\n",
       "  * age_band_lower_bound  (age_band_lower_bound) int64 112B 0 5 10 ... 55 60 65\n",
       "  * year                  (year) int64 568B 1950 1951 1952 ... 2018 2019 2020"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xr.set_options(keep_attrs=True)\n",
    "\n",
    "world_population = world_population.assign_coords(longitude=(((world_population.longitude + 180) % 360) - 180))\n",
    "world_population = world_population.roll(longitude=int(len(world_population.longitude) / 2), roll_coords=True)\n",
    "world_population"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "11",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f46b1310e00>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "world_population.sel(age_band_lower_bound=0, year=2020).plot(vmax=50_000, cmap=\"YlGnBu_r\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "12",
   "metadata": {},
   "source": [
    "### 2. Data selection\n",
    "\n",
    "On the world data, we perform a geographical selection corresponding to continental Europe:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "13",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  --xr-font-color3: var(\n",
       "    --jp-content-font-color3,\n",
       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
       "  );\n",
       "  --xr-border-color: var(\n",
       "    --jp-border-color2,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
       "  );\n",
       "  --xr-disabled-color: var(\n",
       "    --jp-layout-color3,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
       "  );\n",
       "  --xr-background-color: var(\n",
       "    --jp-layout-color0,\n",
       "    var(--pst-color-on-background, white)\n",
       "  );\n",
       "  --xr-background-color-row-even: var(\n",
       "    --jp-layout-color1,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
       "  );\n",
       "}\n",
       "\n",
       "html[theme=\"dark\"],\n",
       "html[data-theme=\"dark\"],\n",
       "body[data-theme=\"dark\"],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: var(\n",
       "    --jp-content-font-color0,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
       "  );\n",
       "  --xr-font-color2: var(\n",
       "    --jp-content-font-color2,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
       "  );\n",
       "  --xr-font-color3: var(\n",
       "    --jp-content-font-color3,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
       "  );\n",
       "  --xr-border-color: var(\n",
       "    --jp-border-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
       "  );\n",
       "  --xr-disabled-color: var(\n",
       "    --jp-layout-color3,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
       "  );\n",
       "  --xr-background-color: var(\n",
       "    --jp-layout-color0,\n",
       "    var(--pst-color-on-background, #111111)\n",
       "  );\n",
       "  --xr-background-color-row-even: var(\n",
       "    --jp-layout-color1,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
       "  );\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "  line-height: 1.6;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-obj-name,\n",
       ".xr-group-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-group-name::before {\n",
       "  content: \"📁\";\n",
       "  padding-right: 0.3em;\n",
       "}\n",
       "\n",
       ".xr-group-name,\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 0 20px 0 20px;\n",
       "  margin-block-start: 0;\n",
       "  margin-block-end: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: inline-block;\n",
       "  opacity: 0;\n",
       "  height: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "  border: 2px solid transparent !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:focus + label {\n",
       "  border: 2px solid var(--xr-font-color0) !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: \"►\";\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: \"▼\";\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-top: 4px;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-group-box {\n",
       "  display: inline-grid;\n",
       "  grid-template-columns: 0px 20px auto;\n",
       "  width: 100%;\n",
       "}\n",
       "\n",
       ".xr-group-box-vline {\n",
       "  grid-column-start: 1;\n",
       "  border-right: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "  width: 0px;\n",
       "}\n",
       "\n",
       ".xr-group-box-hline {\n",
       "  grid-column-start: 2;\n",
       "  grid-row-start: 1;\n",
       "  height: 1em;\n",
       "  width: 20px;\n",
       "  border-bottom: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-group-box-contents {\n",
       "  grid-column-start: 3;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  border-color: var(--xr-background-color-row-odd);\n",
       "  margin-bottom: 0;\n",
       "  padding-top: 2px;\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",
       "  border-color: var(--xr-background-color-row-even);\n",
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       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
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       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\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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       "  width: auto;\n",
       "  z-index: 1;\n",
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       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  border-top: 2px dotted var(--xr-background-color);\n",
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       "  padding-top: 10px !important;\n",
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       "\n",
       ".xr-var-attrs-in + label,\n",
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       "\n",
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       "\n",
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       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
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       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
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       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
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       "}\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",
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       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
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       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
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       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;demographic_totals&#x27; (latitude: 141, longitude: 181,\n",
       "                                        age_band_lower_bound: 14, year: 71)&gt; Size: 101MB\n",
       "dask.array&lt;getitem, shape=(141, 181, 14, 71), dtype=float32, chunksize=(64, 64, 14, 71), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * latitude              (latitude) float64 1kB 71.0 70.75 70.5 ... 36.25 36.0\n",
       "  * longitude             (longitude) float64 1kB -10.0 -9.75 ... 34.75 35.0\n",
       "  * age_band_lower_bound  (age_band_lower_bound) int64 112B 0 5 10 ... 55 60 65\n",
       "  * year                  (year) int64 568B 1950 1951 1952 ... 2018 2019 2020</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-obj-name'>&#x27;demographic_totals&#x27;</div><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 141</li><li><span class='xr-has-index'>longitude</span>: 181</li><li><span class='xr-has-index'>age_band_lower_bound</span>: 14</li><li><span class='xr-has-index'>year</span>: 71</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-7e6561df-60d7-41ba-85cd-28f31f5088e8' class='xr-array-in' type='checkbox' checked><label for='section-7e6561df-60d7-41ba-85cd-28f31f5088e8' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(52, 24, 14, 71), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 96.77 MiB </td>\n",
       "                        <td> 15.53 MiB </td>\n",
       "                    </tr>\n",
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       "                    <tr>\n",
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       "                        <td> (64, 64, 14, 71) </td>\n",
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       "                    <tr>\n",
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       "       68.5 , 68.25, 68.  , 67.75, 67.5 , 67.25, 67.  , 66.75, 66.5 , 66.25,\n",
       "       66.  , 65.75, 65.5 , 65.25, 65.  , 64.75, 64.5 , 64.25, 64.  , 63.75,\n",
       "       63.5 , 63.25, 63.  , 62.75, 62.5 , 62.25, 62.  , 61.75, 61.5 , 61.25,\n",
       "       61.  , 60.75, 60.5 , 60.25, 60.  , 59.75, 59.5 , 59.25, 59.  , 58.75,\n",
       "       58.5 , 58.25, 58.  , 57.75, 57.5 , 57.25, 57.  , 56.75, 56.5 , 56.25,\n",
       "       56.  , 55.75, 55.5 , 55.25, 55.  , 54.75, 54.5 , 54.25, 54.  , 53.75,\n",
       "       53.5 , 53.25, 53.  , 52.75, 52.5 , 52.25, 52.  , 51.75, 51.5 , 51.25,\n",
       "       51.  , 50.75, 50.5 , 50.25, 50.  , 49.75, 49.5 , 49.25, 49.  , 48.75,\n",
       "       48.5 , 48.25, 48.  , 47.75, 47.5 , 47.25, 47.  , 46.75, 46.5 , 46.25,\n",
       "       46.  , 45.75, 45.5 , 45.25, 45.  , 44.75, 44.5 , 44.25, 44.  , 43.75,\n",
       "       43.5 , 43.25, 43.  , 42.75, 42.5 , 42.25, 42.  , 41.75, 41.5 , 41.25,\n",
       "       41.  , 40.75, 40.5 , 40.25, 40.  , 39.75, 39.5 , 39.25, 39.  , 38.75,\n",
       "       38.5 , 38.25, 38.  , 37.75, 37.5 , 37.25, 37.  , 36.75, 36.5 , 36.25,\n",
       "       36.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-10.0 -9.75 -9.5 ... 34.75 35.0</div><input id='attrs-013686f3-b483-42c1-81b9-fb30b0c6cd64' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-013686f3-b483-42c1-81b9-fb30b0c6cd64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7127f5b9-93eb-4f85-a190-07a5c7249499' class='xr-var-data-in' type='checkbox'><label for='data-7127f5b9-93eb-4f85-a190-07a5c7249499' 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'></dl></div><div class='xr-var-data'><pre>array([-10.  ,  -9.75,  -9.5 ,  -9.25,  -9.  ,  -8.75,  -8.5 ,  -8.25,  -8.  ,\n",
       "        -7.75,  -7.5 ,  -7.25,  -7.  ,  -6.75,  -6.5 ,  -6.25,  -6.  ,  -5.75,\n",
       "        -5.5 ,  -5.25,  -5.  ,  -4.75,  -4.5 ,  -4.25,  -4.  ,  -3.75,  -3.5 ,\n",
       "        -3.25,  -3.  ,  -2.75,  -2.5 ,  -2.25,  -2.  ,  -1.75,  -1.5 ,  -1.25,\n",
       "        -1.  ,  -0.75,  -0.5 ,  -0.25,   0.  ,   0.25,   0.5 ,   0.75,   1.  ,\n",
       "         1.25,   1.5 ,   1.75,   2.  ,   2.25,   2.5 ,   2.75,   3.  ,   3.25,\n",
       "         3.5 ,   3.75,   4.  ,   4.25,   4.5 ,   4.75,   5.  ,   5.25,   5.5 ,\n",
       "         5.75,   6.  ,   6.25,   6.5 ,   6.75,   7.  ,   7.25,   7.5 ,   7.75,\n",
       "         8.  ,   8.25,   8.5 ,   8.75,   9.  ,   9.25,   9.5 ,   9.75,  10.  ,\n",
       "        10.25,  10.5 ,  10.75,  11.  ,  11.25,  11.5 ,  11.75,  12.  ,  12.25,\n",
       "        12.5 ,  12.75,  13.  ,  13.25,  13.5 ,  13.75,  14.  ,  14.25,  14.5 ,\n",
       "        14.75,  15.  ,  15.25,  15.5 ,  15.75,  16.  ,  16.25,  16.5 ,  16.75,\n",
       "        17.  ,  17.25,  17.5 ,  17.75,  18.  ,  18.25,  18.5 ,  18.75,  19.  ,\n",
       "        19.25,  19.5 ,  19.75,  20.  ,  20.25,  20.5 ,  20.75,  21.  ,  21.25,\n",
       "        21.5 ,  21.75,  22.  ,  22.25,  22.5 ,  22.75,  23.  ,  23.25,  23.5 ,\n",
       "        23.75,  24.  ,  24.25,  24.5 ,  24.75,  25.  ,  25.25,  25.5 ,  25.75,\n",
       "        26.  ,  26.25,  26.5 ,  26.75,  27.  ,  27.25,  27.5 ,  27.75,  28.  ,\n",
       "        28.25,  28.5 ,  28.75,  29.  ,  29.25,  29.5 ,  29.75,  30.  ,  30.25,\n",
       "        30.5 ,  30.75,  31.  ,  31.25,  31.5 ,  31.75,  32.  ,  32.25,  32.5 ,\n",
       "        32.75,  33.  ,  33.25,  33.5 ,  33.75,  34.  ,  34.25,  34.5 ,  34.75,\n",
       "        35.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>age_band_lower_bound</span></div><div class='xr-var-dims'>(age_band_lower_bound)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 5 10 15 20 25 ... 45 50 55 60 65</div><input id='attrs-630c2f88-2a0e-4401-a9e4-c8bda22a5762' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-630c2f88-2a0e-4401-a9e4-c8bda22a5762' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36bd8031-3f4e-438e-a370-a6bfd44abae2' class='xr-var-data-in' type='checkbox'><label for='data-36bd8031-3f4e-438e-a370-a6bfd44abae2' 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'></dl></div><div class='xr-var-data'><pre>array([ 0,  5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>year</span></div><div class='xr-var-dims'>(year)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1950 1951 1952 ... 2018 2019 2020</div><input id='attrs-8e783b90-d550-4ebe-b900-eb04358d053e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8e783b90-d550-4ebe-b900-eb04358d053e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a95ce9d5-e95c-41b9-bc09-16614b00f919' class='xr-var-data-in' type='checkbox'><label for='data-a95ce9d5-e95c-41b9-bc09-16614b00f919' 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'></dl></div><div class='xr-var-data'><pre>array([1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959, 1960, 1961,\n",
       "       1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969, 1970, 1971, 1972, 1973,\n",
       "       1974, 1975, 1976, 1977, 1978, 1979, 1980, 1981, 1982, 1983, 1984, 1985,\n",
       "       1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997,\n",
       "       1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009,\n",
       "       2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020])</pre></div></li></ul></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'demographic_totals' (latitude: 141, longitude: 181,\n",
       "                                        age_band_lower_bound: 14, year: 71)> Size: 101MB\n",
       "dask.array<getitem, shape=(141, 181, 14, 71), dtype=float32, chunksize=(64, 64, 14, 71), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * latitude              (latitude) float64 1kB 71.0 70.75 70.5 ... 36.25 36.0\n",
       "  * longitude             (longitude) float64 1kB -10.0 -9.75 ... 34.75 35.0\n",
       "  * age_band_lower_bound  (age_band_lower_bound) int64 112B 0 5 10 ... 55 60 65\n",
       "  * year                  (year) int64 568B 1950 1951 1952 ... 2018 2019 2020"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "europe_population = world_population.sel(latitude=slice(71, 36), longitude=slice(-10,35))\n",
    "europe_population"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14",
   "metadata": {},
   "source": [
    "This is a relatively small dataset, we don't need to worry too much about the download size."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15",
   "metadata": {},
   "source": [
    "### 3. Data reduction"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "16",
   "metadata": {},
   "source": [
    "Next, we calculate the total population for each and every year. Notice that the data spans from 1950 to 2020."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "17",
   "metadata": {},
   "outputs": [
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       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: \"►\";\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: \"▼\";\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-top: 4px;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-group-box {\n",
       "  display: inline-grid;\n",
       "  grid-template-columns: 0px 20px auto;\n",
       "  width: 100%;\n",
       "}\n",
       "\n",
       ".xr-group-box-vline {\n",
       "  grid-column-start: 1;\n",
       "  border-right: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "  width: 0px;\n",
       "}\n",
       "\n",
       ".xr-group-box-hline {\n",
       "  grid-column-start: 2;\n",
       "  grid-row-start: 1;\n",
       "  height: 1em;\n",
       "  width: 20px;\n",
       "  border-bottom: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-group-box-contents {\n",
       "  grid-column-start: 3;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  border-color: var(--xr-background-color-row-odd);\n",
       "  margin-bottom: 0;\n",
       "  padding-top: 2px;\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",
       "  border-color: var(--xr-background-color-row-even);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;demographic_totals&#x27; (latitude: 141, longitude: 181, year: 71)&gt; Size: 7MB\n",
       "dask.array&lt;sum-aggregate, shape=(141, 181, 71), dtype=float32, chunksize=(64, 64, 71), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float64 1kB 71.0 70.75 70.5 70.25 ... 36.5 36.25 36.0\n",
       "  * longitude  (longitude) float64 1kB -10.0 -9.75 -9.5 ... 34.5 34.75 35.0\n",
       "  * year       (year) int64 568B 1950 1951 1952 1953 ... 2017 2018 2019 2020</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-obj-name'>&#x27;demographic_totals&#x27;</div><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 141</li><li><span class='xr-has-index'>longitude</span>: 181</li><li><span class='xr-has-index'>year</span>: 71</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-60f752ee-5d37-478b-98ee-8700cd88a496' class='xr-array-in' type='checkbox' checked><label for='section-60f752ee-5d37-478b-98ee-8700cd88a496' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(52, 24, 71), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 6.91 MiB </td>\n",
       "                        <td> 1.11 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (141, 181, 71) </td>\n",
       "                        <td> (64, 64, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 12 chunks in 12 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
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       "            </table>\n",
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       "</table></div></div></li><li class='xr-section-item'><input id='section-c0dbe7de-7cd7-4847-a6e3-432df0b6863e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c0dbe7de-7cd7-4847-a6e3-432df0b6863e' 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'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>71.0 70.75 70.5 ... 36.5 36.25 36.0</div><input id='attrs-6ac2d7e8-368c-4024-ab83-fafecae05e3f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6ac2d7e8-368c-4024-ab83-fafecae05e3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-234e93fa-7f54-49dc-a25f-8728c4fe8c22' class='xr-var-data-in' type='checkbox'><label for='data-234e93fa-7f54-49dc-a25f-8728c4fe8c22' 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'></dl></div><div class='xr-var-data'><pre>array([71.  , 70.75, 70.5 , 70.25, 70.  , 69.75, 69.5 , 69.25, 69.  , 68.75,\n",
       "       68.5 , 68.25, 68.  , 67.75, 67.5 , 67.25, 67.  , 66.75, 66.5 , 66.25,\n",
       "       66.  , 65.75, 65.5 , 65.25, 65.  , 64.75, 64.5 , 64.25, 64.  , 63.75,\n",
       "       63.5 , 63.25, 63.  , 62.75, 62.5 , 62.25, 62.  , 61.75, 61.5 , 61.25,\n",
       "       61.  , 60.75, 60.5 , 60.25, 60.  , 59.75, 59.5 , 59.25, 59.  , 58.75,\n",
       "       58.5 , 58.25, 58.  , 57.75, 57.5 , 57.25, 57.  , 56.75, 56.5 , 56.25,\n",
       "       56.  , 55.75, 55.5 , 55.25, 55.  , 54.75, 54.5 , 54.25, 54.  , 53.75,\n",
       "       53.5 , 53.25, 53.  , 52.75, 52.5 , 52.25, 52.  , 51.75, 51.5 , 51.25,\n",
       "       51.  , 50.75, 50.5 , 50.25, 50.  , 49.75, 49.5 , 49.25, 49.  , 48.75,\n",
       "       48.5 , 48.25, 48.  , 47.75, 47.5 , 47.25, 47.  , 46.75, 46.5 , 46.25,\n",
       "       46.  , 45.75, 45.5 , 45.25, 45.  , 44.75, 44.5 , 44.25, 44.  , 43.75,\n",
       "       43.5 , 43.25, 43.  , 42.75, 42.5 , 42.25, 42.  , 41.75, 41.5 , 41.25,\n",
       "       41.  , 40.75, 40.5 , 40.25, 40.  , 39.75, 39.5 , 39.25, 39.  , 38.75,\n",
       "       38.5 , 38.25, 38.  , 37.75, 37.5 , 37.25, 37.  , 36.75, 36.5 , 36.25,\n",
       "       36.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-10.0 -9.75 -9.5 ... 34.75 35.0</div><input id='attrs-13cf0d4e-bca9-4fd6-8efd-63878b80a407' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-13cf0d4e-bca9-4fd6-8efd-63878b80a407' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50bc69e8-59ab-4c74-b300-2184dd58e671' class='xr-var-data-in' type='checkbox'><label for='data-50bc69e8-59ab-4c74-b300-2184dd58e671' 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'></dl></div><div class='xr-var-data'><pre>array([-10.  ,  -9.75,  -9.5 ,  -9.25,  -9.  ,  -8.75,  -8.5 ,  -8.25,  -8.  ,\n",
       "        -7.75,  -7.5 ,  -7.25,  -7.  ,  -6.75,  -6.5 ,  -6.25,  -6.  ,  -5.75,\n",
       "        -5.5 ,  -5.25,  -5.  ,  -4.75,  -4.5 ,  -4.25,  -4.  ,  -3.75,  -3.5 ,\n",
       "        -3.25,  -3.  ,  -2.75,  -2.5 ,  -2.25,  -2.  ,  -1.75,  -1.5 ,  -1.25,\n",
       "        -1.  ,  -0.75,  -0.5 ,  -0.25,   0.  ,   0.25,   0.5 ,   0.75,   1.  ,\n",
       "         1.25,   1.5 ,   1.75,   2.  ,   2.25,   2.5 ,   2.75,   3.  ,   3.25,\n",
       "         3.5 ,   3.75,   4.  ,   4.25,   4.5 ,   4.75,   5.  ,   5.25,   5.5 ,\n",
       "         5.75,   6.  ,   6.25,   6.5 ,   6.75,   7.  ,   7.25,   7.5 ,   7.75,\n",
       "         8.  ,   8.25,   8.5 ,   8.75,   9.  ,   9.25,   9.5 ,   9.75,  10.  ,\n",
       "        10.25,  10.5 ,  10.75,  11.  ,  11.25,  11.5 ,  11.75,  12.  ,  12.25,\n",
       "        12.5 ,  12.75,  13.  ,  13.25,  13.5 ,  13.75,  14.  ,  14.25,  14.5 ,\n",
       "        14.75,  15.  ,  15.25,  15.5 ,  15.75,  16.  ,  16.25,  16.5 ,  16.75,\n",
       "        17.  ,  17.25,  17.5 ,  17.75,  18.  ,  18.25,  18.5 ,  18.75,  19.  ,\n",
       "        19.25,  19.5 ,  19.75,  20.  ,  20.25,  20.5 ,  20.75,  21.  ,  21.25,\n",
       "        21.5 ,  21.75,  22.  ,  22.25,  22.5 ,  22.75,  23.  ,  23.25,  23.5 ,\n",
       "        23.75,  24.  ,  24.25,  24.5 ,  24.75,  25.  ,  25.25,  25.5 ,  25.75,\n",
       "        26.  ,  26.25,  26.5 ,  26.75,  27.  ,  27.25,  27.5 ,  27.75,  28.  ,\n",
       "        28.25,  28.5 ,  28.75,  29.  ,  29.25,  29.5 ,  29.75,  30.  ,  30.25,\n",
       "        30.5 ,  30.75,  31.  ,  31.25,  31.5 ,  31.75,  32.  ,  32.25,  32.5 ,\n",
       "        32.75,  33.  ,  33.25,  33.5 ,  33.75,  34.  ,  34.25,  34.5 ,  34.75,\n",
       "        35.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>year</span></div><div class='xr-var-dims'>(year)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1950 1951 1952 ... 2018 2019 2020</div><input id='attrs-fa974cf9-cd7c-4b77-a83f-6b74ab0afe08' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fa974cf9-cd7c-4b77-a83f-6b74ab0afe08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00dff167-a255-420d-9a8e-e058fe1f4806' class='xr-var-data-in' type='checkbox'><label for='data-00dff167-a255-420d-9a8e-e058fe1f4806' 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'></dl></div><div class='xr-var-data'><pre>array([1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959, 1960, 1961,\n",
       "       1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969, 1970, 1971, 1972, 1973,\n",
       "       1974, 1975, 1976, 1977, 1978, 1979, 1980, 1981, 1982, 1983, 1984, 1985,\n",
       "       1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997,\n",
       "       1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009,\n",
       "       2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020])</pre></div></li></ul></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'demographic_totals' (latitude: 141, longitude: 181, year: 71)> Size: 7MB\n",
       "dask.array<sum-aggregate, shape=(141, 181, 71), dtype=float32, chunksize=(64, 64, 71), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float64 1kB 71.0 70.75 70.5 70.25 ... 36.5 36.25 36.0\n",
       "  * longitude  (longitude) float64 1kB -10.0 -9.75 -9.5 ... 34.5 34.75 35.0\n",
       "  * year       (year) int64 568B 1950 1951 1952 1953 ... 2017 2018 2019 2020"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "europe_population_bands_total = europe_population.sum(\"age_band_lower_bound\")\n",
    "europe_population_bands_total"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18",
   "metadata": {},
   "source": [
    "### 4. Data download"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "19",
   "metadata": {},
   "source": [
    "This is the phase where we explicitly trigger the download of the data. To do so we will call `compute()` on the European total population. The result will be small enough to easily fit into memory. Remember to assign the return of the `compute()` function to a new variable, so that the data is kept in memory.\n",
    "\n",
    "We can measure the time it takes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "20",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 881 ms, sys: 163 ms, total: 1.04 s\n",
      "Wall time: 2.44 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "europe_population_bands_total_computed = europe_population_bands_total.compute()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "21",
   "metadata": {},
   "source": [
    "#### *Preparing ERA5-single levels data*\n",
    "\n",
    "We will now follow the same logic to load ERA5 single levels data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "22",
   "metadata": {},
   "outputs": [
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       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 405TB\n",
       "Dimensions:     (valid_time: 756768, latitude: 721, longitude: 1440)\n",
       "Coordinates:\n",
       "  * valid_time  (valid_time) datetime64[ns] 6MB 1940-01-01 ... 2026-04-30T23:...\n",
       "  * latitude    (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0\n",
       "  * longitude   (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8\n",
       "    number      int64 8B ...\n",
       "    surface     float64 8B ...\n",
       "Data variables: (12/129)\n",
       "    alnid       (valid_time, latitude, longitude) float32 3TB dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;\n",
       "    alnip       (valid_time, latitude, longitude) float32 3TB dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;\n",
       "    aluvd       (valid_time, latitude, longitude) float32 3TB dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;\n",
       "    aluvp       (valid_time, latitude, longitude) float32 3TB dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;\n",
       "    anor        (valid_time, latitude, longitude) float32 3TB dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;\n",
       "    asn         (valid_time, latitude, longitude) float32 3TB dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;\n",
       "    ...          ...\n",
       "    viiwn       (valid_time, latitude, longitude) float32 3TB dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;\n",
       "    vilwd       (valid_time, latitude, longitude) float32 3TB dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;\n",
       "    vilwe       (valid_time, latitude, longitude) float32 3TB dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;\n",
       "    vilwn       (valid_time, latitude, longitude) float32 3TB dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;\n",
       "    z           (valid_time, latitude, longitude) float32 3TB dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;\n",
       "    zust        (valid_time, latitude, longitude) float32 3TB dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    Conventions:             CF-1.7\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_edition:            1\n",
       "    GRIB_subCentre:          0\n",
       "    history:                 2025-12-04T16:25 GRIB to CDM+CF via cfgrib-0.9.1...\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts</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-d73920c2-e726-4971-bed1-7c96d3a36b03' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d73920c2-e726-4971-bed1-7c96d3a36b03' 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'>valid_time</span>: 756768</li><li><span class='xr-has-index'>latitude</span>: 721</li><li><span class='xr-has-index'>longitude</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1b9047ae-c289-4ff3-a253-3ba0fb155479' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1b9047ae-c289-4ff3-a253-3ba0fb155479' class='xr-section-summary' >Coordinates: <span>(5)</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'>valid_time</span></div><div class='xr-var-dims'>(valid_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1940-01-01 ... 2026-04-30T23:00:00</div><input id='attrs-2a57a806-c258-4486-b61b-ee99b2b35d8c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2a57a806-c258-4486-b61b-ee99b2b35d8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a7ad0aa-b772-4bef-bca8-2b63a680c33b' class='xr-var-data-in' type='checkbox'><label for='data-8a7ad0aa-b772-4bef-bca8-2b63a680c33b' 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'></dl></div><div class='xr-var-data'><pre>array([&#x27;1940-01-01T00:00:00.000000000&#x27;, &#x27;1940-01-01T01:00:00.000000000&#x27;,\n",
       "       &#x27;1940-01-01T02:00:00.000000000&#x27;, ..., &#x27;2026-04-30T21:00:00.000000000&#x27;,\n",
       "       &#x27;2026-04-30T22:00:00.000000000&#x27;, &#x27;2026-04-30T23:00:00.000000000&#x27;],\n",
       "      shape=(756768,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>90.0 89.75 89.5 ... -89.75 -90.0</div><input id='attrs-971b0e27-1dfb-4b94-a274-d628e9cd40a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-971b0e27-1dfb-4b94-a274-d628e9cd40a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34eeaa8d-f17c-4d5f-96b3-55b6955b041c' class='xr-var-data-in' type='checkbox'><label for='data-34eeaa8d-f17c-4d5f-96b3-55b6955b041c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([ 90.  ,  89.75,  89.5 , ..., -89.5 , -89.75, -90.  ], shape=(721,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.25 0.5 ... 359.2 359.5 359.8</div><input id='attrs-78e253dc-5297-4117-a188-0c288911dfa9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78e253dc-5297-4117-a188-0c288911dfa9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54487532-aab4-49d1-b312-72a660be9df2' class='xr-var-data-in' type='checkbox'><label for='data-54487532-aab4-49d1-b312-72a660be9df2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([0.0000e+00, 2.5000e-01, 5.0000e-01, ..., 3.5925e+02, 3.5950e+02,\n",
       "       3.5975e+02], shape=(1440,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>number</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-295b1456-1361-4c03-a13f-78bd3d3103d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-295b1456-1361-4c03-a13f-78bd3d3103d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81715a39-441d-4b63-a545-5baf8ab7e7f2' class='xr-var-data-in' type='checkbox'><label for='data-81715a39-441d-4b63-a545-5baf8ab7e7f2' 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>ensemble member numerical id</dd><dt><span>standard_name :</span></dt><dd>realization</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9ff725f3-5933-432e-b4cb-b93563a2aedc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ff725f3-5933-432e-b4cb-b93563a2aedc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-780a3b8b-d94a-4856-a13c-136eb1c94da0' class='xr-var-data-in' type='checkbox'><label for='data-780a3b8b-d94a-4856-a13c-136eb1c94da0' 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>original GRIB coordinate for key: level(surface)</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5dca7a52-2906-4889-9cc1-2dbf47f48910' class='xr-section-summary-in' type='checkbox'  ><label for='section-5dca7a52-2906-4889-9cc1-2dbf47f48910' class='xr-section-summary' >Data variables: <span>(129)</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>alnid</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-964cba58-5a2e-43d0-8697-bd62baf78612' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-964cba58-5a2e-43d0-8697-bd62baf78612' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f125acd9-d9f2-43df-b65b-6c2b016f8bba' class='xr-var-data-in' type='checkbox'><label for='data-f125acd9-d9f2-43df-b65b-6c2b016f8bba' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>alnid</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Near IR albedo for diffuse radiation (climatological)</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>18</dd><dt><span>GRIB_shortName :</span></dt><dd>alnid</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>(0 - 1)</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Near IR albedo for diffuse radiation (climatological)</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                    <tr>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aluvd</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-346a764f-84cd-4c6d-92f9-af432d888470' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-346a764f-84cd-4c6d-92f9-af432d888470' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8fd04603-51ea-4b0e-97a3-6f017a61e470' class='xr-var-data-in' type='checkbox'><label for='data-8fd04603-51ea-4b0e-97a3-6f017a61e470' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aluvd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>UV visible albedo for diffuse radiation (climatological)</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>16</dd><dt><span>GRIB_shortName :</span></dt><dd>aluvd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>(0 - 1)</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>UV visible albedo for diffuse radiation (climatological)</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aluvp</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-d38efd1a-8872-47f6-b9f7-1dc1b0fcb6f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d38efd1a-8872-47f6-b9f7-1dc1b0fcb6f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-813a8caf-ae26-4a28-84d3-4fada533e864' class='xr-var-data-in' type='checkbox'><label for='data-813a8caf-ae26-4a28-84d3-4fada533e864' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>aluvp</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>UV visible albedo for direct radiation (climatological)</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>15</dd><dt><span>GRIB_shortName :</span></dt><dd>aluvp</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>(0 - 1)</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>UV visible albedo for direct radiation (climatological)</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
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       "                    </tr>\n",
       "                    <tr>\n",
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       "                        <th> Data type </th>\n",
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       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
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       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
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       "                        <th> Array </th>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                        <th> Data type </th>\n",
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       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>chnk</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-0a4900f9-d744-424e-bf9e-45f74266f94b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a4900f9-d744-424e-bf9e-45f74266f94b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f29a50c9-534a-4cc4-8d54-0582613a8057' class='xr-var-data-in' type='checkbox'><label for='data-f29a50c9-534a-4cc4-8d54-0582613a8057' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>chnk</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Charnock</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>148</dd><dt><span>GRIB_shortName :</span></dt><dd>chnk</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>Numeric</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Charnock</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>Numeric</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
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       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cin</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-d49f0edb-8cfd-4303-bf08-296c906554b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d49f0edb-8cfd-4303-bf08-296c906554b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18885f4f-b3c2-4feb-a5d0-90032effcb95' class='xr-var-data-in' type='checkbox'><label for='data-18885f4f-b3c2-4feb-a5d0-90032effcb95' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>cin</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Convective inhibition</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>228001</dd><dt><span>GRIB_shortName :</span></dt><dd>cin</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>J kg**-1</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Convective inhibition</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>J kg**-1</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
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       "                    <tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cp</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-82539fe3-900d-444b-9d77-6e6b593bce1f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82539fe3-900d-444b-9d77-6e6b593bce1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ef0ec40-9428-48ce-ab9c-66c7847ee029' class='xr-var-data-in' type='checkbox'><label for='data-6ef0ec40-9428-48ce-ab9c-66c7847ee029' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_convective_precipitation_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>cp</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Convective precipitation</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>143</dd><dt><span>GRIB_shortName :</span></dt><dd>cp</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Convective precipitation</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_convective_precipitation_amount</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crr</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-a7e6357e-2371-4a1e-a374-b836768398c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7e6357e-2371-4a1e-a374-b836768398c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eed861da-c247-4ff9-b2c7-d66b984f0283' class='xr-var-data-in' type='checkbox'><label for='data-eed861da-c247-4ff9-b2c7-d66b984f0283' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>crr</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Convective rain rate</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>228218</dd><dt><span>GRIB_shortName :</span></dt><dd>crr</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2 s**-1</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Convective rain rate</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>csfr</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-4bb2e2b7-a76f-4730-8031-5853c1d6faae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4bb2e2b7-a76f-4730-8031-5853c1d6faae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f8fc6e7-d7cb-4e72-b53e-643e28d750ba' class='xr-var-data-in' type='checkbox'><label for='data-3f8fc6e7-d7cb-4e72-b53e-643e28d750ba' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>csfr</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Convective snowfall rate water equivalent</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>228220</dd><dt><span>GRIB_shortName :</span></dt><dd>csfr</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2 s**-1</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Convective snowfall rate water equivalent</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cvh</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-b04ce0c9-69a4-4185-b02c-d23e030dc932' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b04ce0c9-69a4-4185-b02c-d23e030dc932' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc9a23b2-f2ab-43a2-affe-811014bd0c54' class='xr-var-data-in' type='checkbox'><label for='data-cc9a23b2-f2ab-43a2-affe-811014bd0c54' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>cvh</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>High vegetation cover</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>28</dd><dt><span>GRIB_shortName :</span></dt><dd>cvh</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>(0 - 1)</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>High vegetation cover</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (4320, 64, 64) </td>\n",
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       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cvl</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-a7f3e82e-5c2f-4079-b687-d2f6e567d4b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7f3e82e-5c2f-4079-b687-d2f6e567d4b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b03d7b74-27df-4c60-8cbb-be4a6e267890' class='xr-var-data-in' type='checkbox'><label for='data-b03d7b74-27df-4c60-8cbb-be4a6e267890' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>cvl</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Low vegetation cover</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>27</dd><dt><span>GRIB_shortName :</span></dt><dd>cvl</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>(0 - 1)</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Low vegetation cover</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>d2m</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-7ef903eb-fe87-423a-88c1-c8c11abf5c0e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ef903eb-fe87-423a-88c1-c8c11abf5c0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e3d60eb-18fb-4bde-98ae-d979746ee2d4' class='xr-var-data-in' type='checkbox'><label for='data-1e3d60eb-18fb-4bde-98ae-d979746ee2d4' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>d2m</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>2 metre dewpoint temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>168</dd><dt><span>GRIB_shortName :</span></dt><dd>2d</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>2 metre dewpoint temperature</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
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       "                    <tr>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dctb</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-c76ce629-0650-43c0-afa9-25cc13b5448d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c76ce629-0650-43c0-afa9-25cc13b5448d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-516c0201-b6a9-4770-8745-15bfd5721acf' class='xr-var-data-in' type='checkbox'><label for='data-516c0201-b6a9-4770-8745-15bfd5721acf' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>dctb</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Duct base height</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>228017</dd><dt><span>GRIB_shortName :</span></dt><dd>dctb</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Duct base height</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dl</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-0a86d891-a6ad-429c-989d-716f28cad374' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a86d891-a6ad-429c-989d-716f28cad374' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38d736a6-601d-4686-85bd-1cdf5caaac40' class='xr-var-data-in' type='checkbox'><label for='data-38d736a6-601d-4686-85bd-1cdf5caaac40' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>dl</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Lake total depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>228007</dd><dt><span>GRIB_shortName :</span></dt><dd>dl</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Lake total depth</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
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       "                    <tr>\n",
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       "                        <th> Data type </th>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dndzn</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-97735aa0-c965-4dcb-a05e-64ea3e25ff6f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97735aa0-c965-4dcb-a05e-64ea3e25ff6f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2271058-0fae-428e-b66d-9ae83de002b1' class='xr-var-data-in' type='checkbox'><label for='data-a2271058-0fae-428e-b66d-9ae83de002b1' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>dndzn</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Minimum vertical gradient of refractivity inside trapping layer</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>228015</dd><dt><span>GRIB_shortName :</span></dt><dd>dndzn</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m**-1</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Minimum vertical gradient of refractivity inside trapping layer</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m**-1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>e</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-dd331501-eabc-4d4d-b2dc-fdb9ad295854' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd331501-eabc-4d4d-b2dc-fdb9ad295854' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-55709a6a-cb4a-4c2c-93a5-4221a1f4f63e' class='xr-var-data-in' type='checkbox'><label for='data-55709a6a-cb4a-4c2c-93a5-4221a1f4f63e' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_water_evaporation_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>e</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Evaporation</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>182</dd><dt><span>GRIB_shortName :</span></dt><dd>e</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Evaporation</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_water_evaporation_amount</dd><dt><span>units :</span></dt><dd>m of water equivalent</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
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       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
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       "                        <td> 67.50 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "    <tr>\n",
       "        <td>\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fal</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-f04372ab-d1e7-4973-a624-4bbbd57e660e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f04372ab-d1e7-4973-a624-4bbbd57e660e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6548d296-0a61-4b81-b854-5c23808dcecd' class='xr-var-data-in' type='checkbox'><label for='data-6548d296-0a61-4b81-b854-5c23808dcecd' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>fal</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Forecast albedo</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>243</dd><dt><span>GRIB_shortName :</span></dt><dd>fal</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>(0 - 1)</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Forecast albedo</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fdir</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-75a0e997-3986-40c2-bec9-4bb1d8b6561a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-75a0e997-3986-40c2-bec9-4bb1d8b6561a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f27289ee-7e56-40f7-88f0-0fe9d2a86374' class='xr-var-data-in' type='checkbox'><label for='data-f27289ee-7e56-40f7-88f0-0fe9d2a86374' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>fdir</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Surface direct short-wave (solar) radiation</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>228021</dd><dt><span>GRIB_shortName :</span></dt><dd>fdir</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>J m**-2</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Surface direct short-wave (solar) radiation</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                    <tr>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fsr</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-4b48c0ab-5c8b-498c-97bd-b219796d55a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b48c0ab-5c8b-498c-97bd-b219796d55a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-012dc783-d905-41a7-9b36-fead16c38ba0' class='xr-var-data-in' type='checkbox'><label for='data-012dc783-d905-41a7-9b36-fead16c38ba0' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>fsr</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Forecast surface roughness</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>244</dd><dt><span>GRIB_shortName :</span></dt><dd>fsr</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Forecast surface roughness</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gwd</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-65b1f69a-fdca-4ab5-8664-4c2f596726ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65b1f69a-fdca-4ab5-8664-4c2f596726ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc3003fd-996f-44af-a3b4-e10f8819a3c5' class='xr-var-data-in' type='checkbox'><label for='data-bc3003fd-996f-44af-a3b4-e10f8819a3c5' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>gwd</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Gravity wave dissipation</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>197</dd><dt><span>GRIB_shortName :</span></dt><dd>gwd</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>J m**-2</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Gravity wave dissipation</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hcc</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-05e650a8-2b5f-4297-97d7-0c86817c444f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05e650a8-2b5f-4297-97d7-0c86817c444f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9abca68d-7cb7-4f96-a962-78dbc9f8b4a1' class='xr-var-data-in' type='checkbox'><label for='data-9abca68d-7cb7-4f96-a962-78dbc9f8b4a1' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>hcc</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>High cloud cover</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>188</dd><dt><span>GRIB_shortName :</span></dt><dd>hcc</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>(0 - 1)</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>High cloud cover</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                    <tr>\n",
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       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
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       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        </td>\n",
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       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ishf</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-1c1aa71d-f9b7-45b0-a58c-32a8427fd70c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c1aa71d-f9b7-45b0-a58c-32a8427fd70c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e9843a1-e6a2-42e4-ab1b-8c617d62b09a' class='xr-var-data-in' type='checkbox'><label for='data-8e9843a1-e6a2-42e4-ab1b-8c617d62b09a' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>ishf</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Instantaneous surface sensible heat net flux</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>231</dd><dt><span>GRIB_shortName :</span></dt><dd>ishf</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>W m**-2</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Instantaneous surface sensible heat net flux</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>W m**-2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>isor</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-76a85412-3ea5-499c-a141-275558f5a6dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76a85412-3ea5-499c-a141-275558f5a6dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef976ff3-92ad-4395-be79-c5fdb8a6c53c' class='xr-var-data-in' type='checkbox'><label for='data-ef976ff3-92ad-4395-be79-c5fdb8a6c53c' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>isor</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Anisotropy of sub-gridscale orography</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>161</dd><dt><span>GRIB_shortName :</span></dt><dd>isor</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>Numeric</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Anisotropy of sub-gridscale orography</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>Numeric</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>istl1</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-9fc31095-1db3-476f-8fca-51e1b85d64c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9fc31095-1db3-476f-8fca-51e1b85d64c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a003e723-08ab-4bc2-8c35-6d0e1f5ee5b8' class='xr-var-data-in' type='checkbox'><label for='data-a003e723-08ab-4bc2-8c35-6d0e1f5ee5b8' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>istl1</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Ice temperature layer 1</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>35</dd><dt><span>GRIB_shortName :</span></dt><dd>istl1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>depthBelowLandLayer</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Ice temperature layer 1</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>istl2</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-8dbbfdfb-ea71-4575-a5cd-8f6975c0672e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8dbbfdfb-ea71-4575-a5cd-8f6975c0672e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dacd6c6f-6b09-4f93-a49d-65442e3f9d11' class='xr-var-data-in' type='checkbox'><label for='data-dacd6c6f-6b09-4f93-a49d-65442e3f9d11' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>istl2</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Ice temperature layer 2</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>36</dd><dt><span>GRIB_shortName :</span></dt><dd>istl2</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>depthBelowLandLayer</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Ice temperature layer 2</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>istl3</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-a0ab2d4c-5ecc-471b-8e92-fc5ea3c79f52' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0ab2d4c-5ecc-471b-8e92-fc5ea3c79f52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5de6a207-56be-4d19-98d4-b388b178fb7a' class='xr-var-data-in' type='checkbox'><label for='data-5de6a207-56be-4d19-98d4-b388b178fb7a' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>istl3</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Ice temperature layer 3</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>37</dd><dt><span>GRIB_shortName :</span></dt><dd>istl3</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>depthBelowLandLayer</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Ice temperature layer 3</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>istl4</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-92853d12-8783-4783-bec9-b25a9dae3723' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92853d12-8783-4783-bec9-b25a9dae3723' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2aee52e0-512b-45c6-99a3-54ca8cf3203b' class='xr-var-data-in' type='checkbox'><label for='data-2aee52e0-512b-45c6-99a3-54ca8cf3203b' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>istl4</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Ice temperature layer 4</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>38</dd><dt><span>GRIB_shortName :</span></dt><dd>istl4</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>depthBelowLandLayer</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Ice temperature layer 4</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lai_hv</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-25f2b36c-1f22-4aa8-8d5c-fb9558810358' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25f2b36c-1f22-4aa8-8d5c-fb9558810358' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8fedf2da-6c5b-4537-a1d9-bae631132170' class='xr-var-data-in' type='checkbox'><label for='data-8fedf2da-6c5b-4537-a1d9-bae631132170' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>lai_hv</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Leaf area index, high vegetation</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>67</dd><dt><span>GRIB_shortName :</span></dt><dd>lai_hv</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m**2 m**-2</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Leaf area index, high vegetation</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m**2 m**-2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                </tbody>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lai_lv</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-b90a0f6a-c98b-4c04-9b75-7a5a69bd860f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b90a0f6a-c98b-4c04-9b75-7a5a69bd860f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b52a4ac8-77a7-416b-a23e-7583b111b376' class='xr-var-data-in' type='checkbox'><label for='data-b52a4ac8-77a7-416b-a23e-7583b111b376' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>lai_lv</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Leaf area index, low vegetation</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>66</dd><dt><span>GRIB_shortName :</span></dt><dd>lai_lv</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m**2 m**-2</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Leaf area index, low vegetation</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m**2 m**-2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
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       "                    <tr>\n",
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       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lcc</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-30a40cc9-33b2-47c7-81a3-949ce5827e66' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30a40cc9-33b2-47c7-81a3-949ce5827e66' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f63f94e3-76a3-4ce0-8602-e5c9352b9a1d' class='xr-var-data-in' type='checkbox'><label for='data-f63f94e3-76a3-4ce0-8602-e5c9352b9a1d' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>lcc</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Low cloud cover</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>186</dd><dt><span>GRIB_shortName :</span></dt><dd>lcc</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>(0 - 1)</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Low cloud cover</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>(0 - 1)</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
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       "                    <tr>\n",
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       "                        <th> Data type </th>\n",
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       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>licd</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-fd5f8d33-bf9b-4dd6-939d-ee7a8c2d44fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd5f8d33-bf9b-4dd6-939d-ee7a8c2d44fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d51e78f9-eaa5-4c6f-b2b5-44fa7b837bf9' class='xr-var-data-in' type='checkbox'><label for='data-d51e78f9-eaa5-4c6f-b2b5-44fa7b837bf9' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>licd</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Lake ice total depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>228014</dd><dt><span>GRIB_shortName :</span></dt><dd>licd</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Lake ice total depth</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                    <tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lmld</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-7c70c73b-7bfc-4a06-a74b-51b164a498f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c70c73b-7bfc-4a06-a74b-51b164a498f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8c85b58-b386-463a-92ae-504976b10498' class='xr-var-data-in' type='checkbox'><label for='data-d8c85b58-b386-463a-92ae-504976b10498' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>lmld</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Lake mix-layer depth</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>228009</dd><dt><span>GRIB_shortName :</span></dt><dd>lmld</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Lake mix-layer depth</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lmlt</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-95fbcacf-574a-458c-8e17-cb9a99193f96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95fbcacf-574a-458c-8e17-cb9a99193f96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d62c809-f010-45e6-99c9-ab846c490cf6' class='xr-var-data-in' type='checkbox'><label for='data-0d62c809-f010-45e6-99c9-ab846c490cf6' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>lmlt</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Lake mix-layer temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>228008</dd><dt><span>GRIB_shortName :</span></dt><dd>lmlt</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Lake mix-layer temperature</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lsf</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-54a4ddae-6ac1-429d-8f98-138c9fb29d75' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54a4ddae-6ac1-429d-8f98-138c9fb29d75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be21dda2-6480-49a1-b1ff-82a08c9516dc' class='xr-var-data-in' type='checkbox'><label for='data-be21dda2-6480-49a1-b1ff-82a08c9516dc' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>lsf</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Large-scale snowfall</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>240</dd><dt><span>GRIB_shortName :</span></dt><dd>lsf</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Large-scale snowfall</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m of water equivalent</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
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       "                    <tr>\n",
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       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lshf</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-2c11d221-1949-4cb1-9031-3b8cef4d4abe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c11d221-1949-4cb1-9031-3b8cef4d4abe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7d3b5be-9d45-4a4b-9950-29aea942df18' class='xr-var-data-in' type='checkbox'><label for='data-b7d3b5be-9d45-4a4b-9950-29aea942df18' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>lshf</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Lake shape factor</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>228012</dd><dt><span>GRIB_shortName :</span></dt><dd>lshf</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>dimensionless</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Lake shape factor</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>dimensionless</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
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       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        </td>\n",
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       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (4320, 64, 64) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                    <tr>\n",
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       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lsrr</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-ab63d7b8-f9ba-4afe-a1fc-7820b3c16932' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab63d7b8-f9ba-4afe-a1fc-7820b3c16932' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50b0fb8d-fbcb-4da2-9d0c-93707a470f2e' class='xr-var-data-in' type='checkbox'><label for='data-50b0fb8d-fbcb-4da2-9d0c-93707a470f2e' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>lsrr</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Large scale rain rate</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>228219</dd><dt><span>GRIB_shortName :</span></dt><dd>lsrr</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2 s**-1</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Large scale rain rate</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                </tbody>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lssfr</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-dcf5af86-9c92-4e78-b38d-55c2d1ccacb5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dcf5af86-9c92-4e78-b38d-55c2d1ccacb5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57b5af39-c465-4a74-aa45-750f468dfcd0' class='xr-var-data-in' type='checkbox'><label for='data-57b5af39-c465-4a74-aa45-750f468dfcd0' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>lssfr</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Large scale snowfall rate water equivalent</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>228221</dd><dt><span>GRIB_shortName :</span></dt><dd>lssfr</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2 s**-1</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Large scale snowfall rate water equivalent</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
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       "                    <tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mn2t</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-394aea7f-24c6-4cc2-be58-d340cfab6c92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-394aea7f-24c6-4cc2-be58-d340cfab6c92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2affb5b-b2fd-444f-983c-a7c92a829d55' class='xr-var-data-in' type='checkbox'><label for='data-d2affb5b-b2fd-444f-983c-a7c92a829d55' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>mn2t</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Minimum temperature at 2 metres since previous post-processing</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>202</dd><dt><span>GRIB_shortName :</span></dt><dd>mn2t</dd><dt><span>GRIB_stepType :</span></dt><dd>max</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Minimum temperature at 2 metres since previous post-processing</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mntpr</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-a7deb9c0-4d2a-40f0-ad6a-ba16d4b6cb74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7deb9c0-4d2a-40f0-ad6a-ba16d4b6cb74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa256e45-ba13-41ae-b505-5f7eb67d0498' class='xr-var-data-in' type='checkbox'><label for='data-aa256e45-ba13-41ae-b505-5f7eb67d0498' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>mntpr</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Minimum total precipitation rate since previous post-processing</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>228227</dd><dt><span>GRIB_shortName :</span></dt><dd>mntpr</dd><dt><span>GRIB_stepType :</span></dt><dd>max</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2 s**-1</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Minimum total precipitation rate since previous post-processing</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
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       "                    <tr>\n",
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       "                        <th> Data type </th>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mx2t</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-a0c43160-1b6c-4fe8-89b0-524308b85e7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0c43160-1b6c-4fe8-89b0-524308b85e7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cdd9cc15-36d3-485a-bd6d-3201f89dc826' class='xr-var-data-in' type='checkbox'><label for='data-cdd9cc15-36d3-485a-bd6d-3201f89dc826' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>mx2t</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Maximum temperature at 2 metres since previous post-processing</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>201</dd><dt><span>GRIB_shortName :</span></dt><dd>mx2t</dd><dt><span>GRIB_stepType :</span></dt><dd>max</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Maximum temperature at 2 metres since previous post-processing</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mxtpr</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-991f32d1-915d-4255-b5b7-39cefda22b45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-991f32d1-915d-4255-b5b7-39cefda22b45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a389d066-e6bc-4743-a842-9fe6390bca59' class='xr-var-data-in' type='checkbox'><label for='data-a389d066-e6bc-4743-a842-9fe6390bca59' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>mxtpr</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Maximum total precipitation rate since previous post-processing</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>228226</dd><dt><span>GRIB_shortName :</span></dt><dd>mxtpr</dd><dt><span>GRIB_stepType :</span></dt><dd>max</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2 s**-1</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Maximum total precipitation rate since previous post-processing</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>kg m**-2 s**-1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pev</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-18884584-018e-4566-aa96-6ffd2c01056c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18884584-018e-4566-aa96-6ffd2c01056c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f6ceae0-30c1-4ae3-916d-68c27f43cf0d' class='xr-var-data-in' type='checkbox'><label for='data-1f6ceae0-30c1-4ae3-916d-68c27f43cf0d' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>pev</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Potential evaporation</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>228251</dd><dt><span>GRIB_shortName :</span></dt><dd>pev</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Potential evaporation</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
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       "                    <tr>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ro</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-6b17fba4-3801-40cb-a0e3-ed945c85ec02' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b17fba4-3801-40cb-a0e3-ed945c85ec02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e9890b4-df1c-490c-985a-bdcebbcb257b' class='xr-var-data-in' type='checkbox'><label for='data-8e9890b4-df1c-490c-985a-bdcebbcb257b' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>ro</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Runoff</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>205</dd><dt><span>GRIB_shortName :</span></dt><dd>ro</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Runoff</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rsn</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-2d0b1c16-ae64-4b4b-bcb5-eee7fbcf3a27' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d0b1c16-ae64-4b4b-bcb5-eee7fbcf3a27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0af6368f-0486-441b-b5bc-4d07a19eedd3' class='xr-var-data-in' type='checkbox'><label for='data-0af6368f-0486-441b-b5bc-4d07a19eedd3' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>rsn</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Snow density</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>33</dd><dt><span>GRIB_shortName :</span></dt><dd>rsn</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-3</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Snow density</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>kg m**-3</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
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       "                    <tr>\n",
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       "                        <th> Data type </th>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sf</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-64bde0d8-aa62-4885-a115-fd91ab91f0bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64bde0d8-aa62-4885-a115-fd91ab91f0bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db200a39-b68f-47c6-b15b-c3f691dcaaeb' class='xr-var-data-in' type='checkbox'><label for='data-db200a39-b68f-47c6-b15b-c3f691dcaaeb' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_snowfall_amount</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sf</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Snowfall</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>144</dd><dt><span>GRIB_shortName :</span></dt><dd>sf</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Snowfall</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_snowfall_amount</dd><dt><span>units :</span></dt><dd>m of water equivalent</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>skt</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-00936309-c6e0-4616-a3a2-d705d4b91bb4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00936309-c6e0-4616-a3a2-d705d4b91bb4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-298fca53-8aa9-4e28-80bc-d09f7bb567c9' class='xr-var-data-in' type='checkbox'><label for='data-298fca53-8aa9-4e28-80bc-d09f7bb567c9' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>skt</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Skin temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>235</dd><dt><span>GRIB_shortName :</span></dt><dd>skt</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Skin temperature</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
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       "                    <tr>\n",
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       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>slhf</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-6c474583-0fd9-40ec-8815-16823c415aef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c474583-0fd9-40ec-8815-16823c415aef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0dae4764-fc87-44a3-803b-17207eb1d502' class='xr-var-data-in' type='checkbox'><label for='data-0dae4764-fc87-44a3-803b-17207eb1d502' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>surface_upward_latent_heat_flux</dd><dt><span>GRIB_cfVarName :</span></dt><dd>slhf</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Time-integrated surface latent heat net flux</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>147</dd><dt><span>GRIB_shortName :</span></dt><dd>slhf</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>J m**-2</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Time-integrated surface latent heat net flux</dd><dt><span>standard_name :</span></dt><dd>surface_upward_latent_heat_flux</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
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       "                    \n",
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       "                        <th> Shape </th>\n",
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       "                    <tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>smlt</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-f508007a-b84f-47eb-a9ef-8ccc1206166b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f508007a-b84f-47eb-a9ef-8ccc1206166b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2d48a70-06f5-4a6d-8588-ba3a771472be' class='xr-var-data-in' type='checkbox'><label for='data-d2d48a70-06f5-4a6d-8588-ba3a771472be' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>smlt</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Snowmelt</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>45</dd><dt><span>GRIB_shortName :</span></dt><dd>smlt</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m of water equivalent</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Snowmelt</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m of water equivalent</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sp</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-fc9c8609-421e-4fcb-9f84-55a5e5ab5e46' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc9c8609-421e-4fcb-9f84-55a5e5ab5e46' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2f925ad-7c29-4590-8f19-b3ce509e3275' class='xr-var-data-in' type='checkbox'><label for='data-c2f925ad-7c29-4590-8f19-b3ce509e3275' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>surface_air_pressure</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sp</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Surface pressure</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>134</dd><dt><span>GRIB_shortName :</span></dt><dd>sp</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>Pa</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Surface pressure</dd><dt><span>standard_name :</span></dt><dd>surface_air_pressure</dd><dt><span>units :</span></dt><dd>Pa</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
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       "                    <tr>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sshf</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-ab14defe-3952-4c2f-b64c-b1382d4bf0a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab14defe-3952-4c2f-b64c-b1382d4bf0a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f28d7cbb-f126-4944-b423-16d72be542d3' class='xr-var-data-in' type='checkbox'><label for='data-f28d7cbb-f126-4944-b423-16d72be542d3' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>surface_upward_sensible_heat_flux</dd><dt><span>GRIB_cfVarName :</span></dt><dd>sshf</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Time-integrated surface sensible heat net flux</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>146</dd><dt><span>GRIB_shortName :</span></dt><dd>sshf</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>J m**-2</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Time-integrated surface sensible heat net flux</dd><dt><span>standard_name :</span></dt><dd>surface_upward_sensible_heat_flux</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssr</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-534af854-40f5-489e-af80-e400fb55a877' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-534af854-40f5-489e-af80-e400fb55a877' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78357877-5f78-44b4-9b35-28b1d8c1bfbb' class='xr-var-data-in' type='checkbox'><label for='data-78357877-5f78-44b4-9b35-28b1d8c1bfbb' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>surface_net_downward_shortwave_flux</dd><dt><span>GRIB_cfVarName :</span></dt><dd>ssr</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Surface net short-wave (solar) radiation</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>176</dd><dt><span>GRIB_shortName :</span></dt><dd>ssr</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>J m**-2</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Surface net short-wave (solar) radiation</dd><dt><span>standard_name :</span></dt><dd>surface_net_downward_shortwave_flux</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "    <tr>\n",
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       "                    <tr>\n",
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       "                        <th> Array </th>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
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       "    <tr>\n",
       "        <td>\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                    <tr>\n",
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       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssrdc</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-165f8887-2013-4594-ba8d-e7da17e9162b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-165f8887-2013-4594-ba8d-e7da17e9162b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5eea7205-a953-49e7-a671-0459a668567b' class='xr-var-data-in' type='checkbox'><label for='data-5eea7205-a953-49e7-a671-0459a668567b' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>ssrdc</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Surface short-wave (solar) radiation downward clear-sky</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>228129</dd><dt><span>GRIB_shortName :</span></dt><dd>ssrdc</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>J m**-2</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Surface short-wave (solar) radiation downward clear-sky</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssro</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-1cb4e5f8-3f6a-4923-aed2-e348345b838b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1cb4e5f8-3f6a-4923-aed2-e348345b838b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5bbd89b9-3369-4ed6-8eeb-dfbf035ef3a5' class='xr-var-data-in' type='checkbox'><label for='data-5bbd89b9-3369-4ed6-8eeb-dfbf035ef3a5' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>ssro</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Sub-surface runoff</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>9</dd><dt><span>GRIB_shortName :</span></dt><dd>ssro</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Sub-surface runoff</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                        <th> Data type </th>\n",
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       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stl2</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-dd0a15fe-35ef-4a05-91a4-436f363b5c10' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd0a15fe-35ef-4a05-91a4-436f363b5c10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7038f8c0-dab1-4b80-8c6a-283ad9b408e4' class='xr-var-data-in' type='checkbox'><label for='data-7038f8c0-dab1-4b80-8c6a-283ad9b408e4' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>stl2</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Soil temperature level 2</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>170</dd><dt><span>GRIB_shortName :</span></dt><dd>stl2</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>depthBelowLandLayer</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Soil temperature level 2</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (4320, 64, 64) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stl3</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-5c1c6f0e-6204-4f6e-a6d0-c43307547848' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c1c6f0e-6204-4f6e-a6d0-c43307547848' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a836587-09db-41e8-8119-09af278955aa' class='xr-var-data-in' type='checkbox'><label for='data-8a836587-09db-41e8-8119-09af278955aa' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>stl3</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Soil temperature level 3</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>183</dd><dt><span>GRIB_shortName :</span></dt><dd>stl3</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>depthBelowLandLayer</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Soil temperature level 3</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
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       "    <tr>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
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       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
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       "    <tr>\n",
       "        <td>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                    <tr>\n",
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       "        <td>\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
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       "                        <th> Shape </th>\n",
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       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swvl1</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-547c167f-0bbe-4ef6-b6d9-90eee2d17a6a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-547c167f-0bbe-4ef6-b6d9-90eee2d17a6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7b11b11-731b-48dc-883a-cefc039e8af5' class='xr-var-data-in' type='checkbox'><label for='data-c7b11b11-731b-48dc-883a-cefc039e8af5' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>swvl1</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Volumetric soil water layer 1</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>39</dd><dt><span>GRIB_shortName :</span></dt><dd>swvl1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>depthBelowLandLayer</dd><dt><span>GRIB_units :</span></dt><dd>m**3 m**-3</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Volumetric soil water layer 1</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m**3 m**-3</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
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       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swvl2</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-28cded58-b522-49f5-b652-a4e6a8d8f2a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28cded58-b522-49f5-b652-a4e6a8d8f2a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c74bc71a-9e75-4c19-9561-f9c565c1981c' class='xr-var-data-in' type='checkbox'><label for='data-c74bc71a-9e75-4c19-9561-f9c565c1981c' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>swvl2</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Volumetric soil water layer 2</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>40</dd><dt><span>GRIB_shortName :</span></dt><dd>swvl2</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>depthBelowLandLayer</dd><dt><span>GRIB_units :</span></dt><dd>m**3 m**-3</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Volumetric soil water layer 2</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m**3 m**-3</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swvl3</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-d01cb0c2-2df2-46c1-ab21-9c2a25955805' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d01cb0c2-2df2-46c1-ab21-9c2a25955805' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1734b142-323d-4a08-8e19-78afcdecf648' class='xr-var-data-in' type='checkbox'><label for='data-1734b142-323d-4a08-8e19-78afcdecf648' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>swvl3</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Volumetric soil water layer 3</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>41</dd><dt><span>GRIB_shortName :</span></dt><dd>swvl3</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>depthBelowLandLayer</dd><dt><span>GRIB_units :</span></dt><dd>m**3 m**-3</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Volumetric soil water layer 3</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m**3 m**-3</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swvl4</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-fc59a1f7-7841-49d3-82c0-ed48e36ac89f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc59a1f7-7841-49d3-82c0-ed48e36ac89f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa465113-5b3a-4eae-ad94-8fee343f9b24' class='xr-var-data-in' type='checkbox'><label for='data-aa465113-5b3a-4eae-ad94-8fee343f9b24' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>swvl4</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Volumetric soil water layer 4</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>42</dd><dt><span>GRIB_shortName :</span></dt><dd>swvl4</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>depthBelowLandLayer</dd><dt><span>GRIB_units :</span></dt><dd>m**3 m**-3</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Volumetric soil water layer 4</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m**3 m**-3</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t2m</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-e93590fa-220c-4c99-8b91-9391fa9d17fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e93590fa-220c-4c99-8b91-9391fa9d17fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-013872d1-1b94-470a-9bab-91b47e4f230d' class='xr-var-data-in' type='checkbox'><label for='data-013872d1-1b94-470a-9bab-91b47e4f230d' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>2 metre temperature</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tciw</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-4f712474-c20a-41ed-a973-07e3359ed311' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f712474-c20a-41ed-a973-07e3359ed311' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d485f45-20ce-4452-bb94-0a9bcf7b0afc' class='xr-var-data-in' type='checkbox'><label for='data-0d485f45-20ce-4452-bb94-0a9bcf7b0afc' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tciw</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total column cloud ice water</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>79</dd><dt><span>GRIB_shortName :</span></dt><dd>tciw</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Total column cloud ice water</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tclw</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-bedf6bac-4836-4801-8739-648b0ff9a38b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bedf6bac-4836-4801-8739-648b0ff9a38b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f40c1723-721c-442a-a9f6-0ba78e06b179' class='xr-var-data-in' type='checkbox'><label for='data-f40c1723-721c-442a-a9f6-0ba78e06b179' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tclw</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total column cloud liquid water</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>78</dd><dt><span>GRIB_shortName :</span></dt><dd>tclw</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Total column cloud liquid water</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tcrw</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-4ff4f0ad-9e1d-4165-8e17-eba8c1167bb1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ff4f0ad-9e1d-4165-8e17-eba8c1167bb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f180eae7-da82-4d6f-88f8-b2433fb9c263' class='xr-var-data-in' type='checkbox'><label for='data-f180eae7-da82-4d6f-88f8-b2433fb9c263' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tcrw</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total column rain water</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>228089</dd><dt><span>GRIB_shortName :</span></dt><dd>tcrw</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Total column rain water</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
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       "                    <tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tcsw</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-9d41ef97-36b0-431d-86c2-5578e27128f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d41ef97-36b0-431d-86c2-5578e27128f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4619a6b8-3c64-4013-8256-d5a1cd0ce599' class='xr-var-data-in' type='checkbox'><label for='data-4619a6b8-3c64-4013-8256-d5a1cd0ce599' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tcsw</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total column snow water</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>228090</dd><dt><span>GRIB_shortName :</span></dt><dd>tcsw</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Total column snow water</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tcwv</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-b66214a5-3bec-4d44-b245-4d61e28cb057' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b66214a5-3bec-4d44-b245-4d61e28cb057' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d10fbf28-bcab-41c1-99b6-19d3a1aabac4' class='xr-var-data-in' type='checkbox'><label for='data-d10fbf28-bcab-41c1-99b6-19d3a1aabac4' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tcwv</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total column vertically-integrated water vapour</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>137</dd><dt><span>GRIB_shortName :</span></dt><dd>tcwv</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Total column vertically-integrated water vapour</dd><dt><span>standard_name :</span></dt><dd>lwe_thickness_of_atmosphere_mass_content_of_water_vapor</dd><dt><span>units :</span></dt><dd>kg m**-2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tisr</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-b4fc083b-cbcc-459a-a339-72798d0c61dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4fc083b-cbcc-459a-a339-72798d0c61dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-097e9aab-5a48-4feb-b430-02b6b313e41c' class='xr-var-data-in' type='checkbox'><label for='data-097e9aab-5a48-4feb-b430-02b6b313e41c' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tisr</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>TOA incident short-wave (solar) radiation</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>212</dd><dt><span>GRIB_shortName :</span></dt><dd>tisr</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>J m**-2</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>TOA incident short-wave (solar) radiation</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
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       "                    <tr>\n",
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       "    <tr>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                    <tr>\n",
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       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (4320, 64, 64) </td>\n",
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       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "        <td>\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ttrc</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-ea153a81-87ba-45fe-9a84-7a7894707047' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea153a81-87ba-45fe-9a84-7a7894707047' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9dfe9646-0869-447a-b82a-da8f9cfac3f3' class='xr-var-data-in' type='checkbox'><label for='data-9dfe9646-0869-447a-b82a-da8f9cfac3f3' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>ttrc</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Top net long-wave (thermal) radiation, clear sky</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>209</dd><dt><span>GRIB_shortName :</span></dt><dd>ttrc</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>J m**-2</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Top net long-wave (thermal) radiation, clear sky</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tvh</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-28161237-560d-4eed-b533-652f0040040d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28161237-560d-4eed-b533-652f0040040d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51d93341-27ad-4b4e-be0d-db63488b5c30' class='xr-var-data-in' type='checkbox'><label for='data-51d93341-27ad-4b4e-be0d-db63488b5c30' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tvh</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Type of high vegetation</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>30</dd><dt><span>GRIB_shortName :</span></dt><dd>tvh</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>(Code table 4.234)</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Type of high vegetation</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>(Code table 4.234)</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
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       "                    <tr>\n",
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       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u100</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-3ccaca8d-77a9-448f-b438-eae4f9937c90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ccaca8d-77a9-448f-b438-eae4f9937c90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ca3fec5-4733-4cbc-acf2-89856ce8d54e' class='xr-var-data-in' type='checkbox'><label for='data-7ca3fec5-4733-4cbc-acf2-89856ce8d54e' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>u100</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>100 metre U wind component</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>228246</dd><dt><span>GRIB_shortName :</span></dt><dd>100u</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m s**-1</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>100 metre U wind component</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>uvb</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-e6d09e15-8203-4e00-91c5-273bd43e4f9f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6d09e15-8203-4e00-91c5-273bd43e4f9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-236568af-b004-4809-aa0b-a542d0528246' class='xr-var-data-in' type='checkbox'><label for='data-236568af-b004-4809-aa0b-a542d0528246' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>uvb</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Surface downward UV radiation</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>57</dd><dt><span>GRIB_shortName :</span></dt><dd>uvb</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>J m**-2</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Surface downward UV radiation</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>J m**-2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v10</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-e0685144-acb0-441e-b2ec-d56d2b246c10' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0685144-acb0-441e-b2ec-d56d2b246c10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a1de427-2c8c-479c-9ee8-d880bc7ece0b' class='xr-var-data-in' type='checkbox'><label for='data-0a1de427-2c8c-479c-9ee8-d880bc7ece0b' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>v10</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>10 metre V wind component</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>166</dd><dt><span>GRIB_shortName :</span></dt><dd>10v</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m s**-1</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>10 metre V wind component</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v100</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-8eed992a-3cb0-4108-970b-2fc24cd60bf4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8eed992a-3cb0-4108-970b-2fc24cd60bf4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aae678c0-f460-4b6e-b7b4-d85554faa2f8' class='xr-var-data-in' type='checkbox'><label for='data-aae678c0-f460-4b6e-b7b4-d85554faa2f8' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>v100</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>100 metre V wind component</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>228247</dd><dt><span>GRIB_shortName :</span></dt><dd>100v</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m s**-1</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>100 metre V wind component</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                    <tr>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>viiwe</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-54b65653-b2a6-48ee-b75f-0e4162fcb154' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54b65653-b2a6-48ee-b75f-0e4162fcb154' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27ffabd6-c48d-464a-898d-a02d5f1659c4' class='xr-var-data-in' type='checkbox'><label for='data-27ffabd6-c48d-464a-898d-a02d5f1659c4' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>viiwe</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total column vertically-integrated eastward cloud frozen water flux</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>162090</dd><dt><span>GRIB_shortName :</span></dt><dd>viiwe</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>entireAtmosphere</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-1 s**-1</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Total column vertically-integrated eastward cloud frozen water flux</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>kg m**-1 s**-1</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>viiwn</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-8dde3efe-42cf-4089-9a05-feb36fff8b80' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8dde3efe-42cf-4089-9a05-feb36fff8b80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-acfe126d-22fc-4212-b1ac-c4e0c8d606d5' class='xr-var-data-in' type='checkbox'><label for='data-acfe126d-22fc-4212-b1ac-c4e0c8d606d5' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>viiwn</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total column vertically-integrated northward cloud frozen water flux </dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>162091</dd><dt><span>GRIB_shortName :</span></dt><dd>viiwn</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>entireAtmosphere</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-1 s**-1</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Total column vertically-integrated northward cloud frozen water flux </dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>kg m**-1 s**-1</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vilwe</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-94966735-87d3-41e8-a83a-e53596a093b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94966735-87d3-41e8-a83a-e53596a093b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6eaa891d-a8dd-41ab-b5a0-595602d3a102' class='xr-var-data-in' type='checkbox'><label for='data-6eaa891d-a8dd-41ab-b5a0-595602d3a102' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>vilwe</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total column vertically-integrated eastward cloud liquid water flux</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>162088</dd><dt><span>GRIB_shortName :</span></dt><dd>vilwe</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>entireAtmosphere</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-1 s**-1</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Total column vertically-integrated eastward cloud liquid water flux</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>kg m**-1 s**-1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vilwn</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-d2c4202e-5d4e-4752-b903-6ef279f01761' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2c4202e-5d4e-4752-b903-6ef279f01761' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2f10f21-2548-4bf1-b8c8-106a6ce3bccd' class='xr-var-data-in' type='checkbox'><label for='data-c2f10f21-2548-4bf1-b8c8-106a6ce3bccd' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>vilwn</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Total column vertically-integrated northward cloud liquid water flux</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>162089</dd><dt><span>GRIB_shortName :</span></dt><dd>vilwn</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>entireAtmosphere</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-1 s**-1</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Total column vertically-integrated northward cloud liquid water flux</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>kg m**-1 s**-1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
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       "                        <th> Data type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>zust</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</div><input id='attrs-630ce91d-8f5a-449f-8744-9d4cc1bcc90a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-630ce91d-8f5a-449f-8744-9d4cc1bcc90a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7a54cd0-7cf6-4296-b218-2fb5dd99f05d' class='xr-var-data-in' type='checkbox'><label for='data-f7a54cd0-7cf6-4296-b218-2fb5dd99f05d' 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_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>zust</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Friction velocity</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>228003</dd><dt><span>GRIB_shortName :</span></dt><dd>zust</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>m s**-1</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>Friction velocity</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>m s**-1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-40e0dc35-9d5d-4505-99c8-ed43484cff6c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-40e0dc35-9d5d-4505-99c8-ed43484cff6c' 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>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>GRIB_centre :</span></dt><dd>ecmf</dd><dt><span>GRIB_centreDescription :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>GRIB_edition :</span></dt><dd>1</dd><dt><span>GRIB_subCentre :</span></dt><dd>0</dd><dt><span>history :</span></dt><dd>2025-12-04T16:25 GRIB to CDM+CF via cfgrib-0.9.15.0/ecCodes-2.43.0 with {&quot;source&quot;: &quot;.xarray-ecmwf-cache/bff222b88be7ee38639dfb3fee0ac442.grib&quot;, &quot;filter_by_keys&quot;: {}, &quot;encode_cf&quot;: [&quot;parameter&quot;, &quot;time&quot;, &quot;geography&quot;, &quot;vertical&quot;]}</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 405TB\n",
       "Dimensions:     (valid_time: 756768, latitude: 721, longitude: 1440)\n",
       "Coordinates:\n",
       "  * valid_time  (valid_time) datetime64[ns] 6MB 1940-01-01 ... 2026-04-30T23:...\n",
       "  * latitude    (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0\n",
       "  * longitude   (longitude) float64 12kB 0.0 0.25 0.5 0.75 ... 359.2 359.5 359.8\n",
       "    number      int64 8B ...\n",
       "    surface     float64 8B ...\n",
       "Data variables: (12/129)\n",
       "    alnid       (valid_time, latitude, longitude) float32 3TB dask.array<chunksize=(4320, 64, 64), meta=np.ndarray>\n",
       "    alnip       (valid_time, latitude, longitude) float32 3TB dask.array<chunksize=(4320, 64, 64), meta=np.ndarray>\n",
       "    aluvd       (valid_time, latitude, longitude) float32 3TB dask.array<chunksize=(4320, 64, 64), meta=np.ndarray>\n",
       "    aluvp       (valid_time, latitude, longitude) float32 3TB dask.array<chunksize=(4320, 64, 64), meta=np.ndarray>\n",
       "    anor        (valid_time, latitude, longitude) float32 3TB dask.array<chunksize=(4320, 64, 64), meta=np.ndarray>\n",
       "    asn         (valid_time, latitude, longitude) float32 3TB dask.array<chunksize=(4320, 64, 64), meta=np.ndarray>\n",
       "    ...          ...\n",
       "    viiwn       (valid_time, latitude, longitude) float32 3TB dask.array<chunksize=(4320, 64, 64), meta=np.ndarray>\n",
       "    vilwd       (valid_time, latitude, longitude) float32 3TB dask.array<chunksize=(4320, 64, 64), meta=np.ndarray>\n",
       "    vilwe       (valid_time, latitude, longitude) float32 3TB dask.array<chunksize=(4320, 64, 64), meta=np.ndarray>\n",
       "    vilwn       (valid_time, latitude, longitude) float32 3TB dask.array<chunksize=(4320, 64, 64), meta=np.ndarray>\n",
       "    z           (valid_time, latitude, longitude) float32 3TB dask.array<chunksize=(4320, 64, 64), meta=np.ndarray>\n",
       "    zust        (valid_time, latitude, longitude) float32 3TB dask.array<chunksize=(4320, 64, 64), meta=np.ndarray>\n",
       "Attributes:\n",
       "    Conventions:             CF-1.7\n",
       "    GRIB_centre:             ecmf\n",
       "    GRIB_centreDescription:  European Centre for Medium-Range Weather Forecasts\n",
       "    GRIB_edition:            1\n",
       "    GRIB_subCentre:          0\n",
       "    history:                 2025-12-04T16:25 GRIB to CDM+CF via cfgrib-0.9.1...\n",
       "    institution:             European Centre for Medium-Range Weather Forecasts"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "era5_single_levels = xr.open_dataset(\n",
    "    f\"https://edh:{PAT}@data.earthdatahub.destine.eu/era5/reanalysis-era5-single-levels-v0.zarr\",\n",
    "    chunks={},\n",
    "    engine=\"zarr\",\n",
    "    storage_options={\"client_kwargs\": {\"trust_env\": True}},\n",
    ")\n",
    "era5_single_levels"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23",
   "metadata": {},
   "source": [
    "From the dataset we extract the 2 metre temperature:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "24",
   "metadata": {},
   "outputs": [],
   "source": [
    "t2m = era5_single_levels.t2m"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25",
   "metadata": {},
   "source": [
    "We perform the same coordinate rolling as we did before:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "26",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;t2m&#x27; (valid_time: 756768, latitude: 721, longitude: 1440)&gt; Size: 3TB\n",
       "dask.array&lt;rechunk-merge, shape=(756768, 721, 1440), dtype=float32, chunksize=(4320, 64, 64), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * valid_time  (valid_time) datetime64[ns] 6MB 1940-01-01 ... 2026-04-30T23:...\n",
       "  * latitude    (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0\n",
       "  * longitude   (longitude) float64 12kB -180.0 -179.8 -179.5 ... 179.5 179.8\n",
       "    number      int64 8B ...\n",
       "    surface     float64 8B ...\n",
       "Attributes: (12/31)\n",
       "    GRIB_NV:                                  0\n",
       "    GRIB_Nx:                                  1440\n",
       "    GRIB_Ny:                                  721\n",
       "    GRIB_cfName:                              unknown\n",
       "    GRIB_cfVarName:                           t2m\n",
       "    GRIB_dataType:                            an\n",
       "    ...                                       ...\n",
       "    GRIB_typeOfLevel:                         surface\n",
       "    GRIB_units:                               K\n",
       "    GRIB_uvRelativeToGrid:                    0\n",
       "    long_name:                                2 metre temperature\n",
       "    standard_name:                            unknown\n",
       "    units:                                    K</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-obj-name'>&#x27;t2m&#x27;</div><ul class='xr-dim-list'><li><span class='xr-has-index'>valid_time</span>: 756768</li><li><span class='xr-has-index'>latitude</span>: 721</li><li><span class='xr-has-index'>longitude</span>: 1440</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-286f9b37-6bc6-4b73-8cc6-f48ba30e0778' class='xr-array-in' type='checkbox' checked><label for='section-286f9b37-6bc6-4b73-8cc6-f48ba30e0778' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(4320, 64, 64), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.86 TiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (756768, 721, 1440) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 48576 chunks in 6 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
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       "                </tbody>\n",
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       "</table></div></div></li><li class='xr-section-item'><input id='section-bf046620-048d-47f3-a7d3-71833bab24df' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bf046620-048d-47f3-a7d3-71833bab24df' class='xr-section-summary' >Coordinates: <span>(5)</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'>valid_time</span></div><div class='xr-var-dims'>(valid_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1940-01-01 ... 2026-04-30T23:00:00</div><input id='attrs-fa26fced-9b21-4bee-b3d4-69cb259744c4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fa26fced-9b21-4bee-b3d4-69cb259744c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f85a8945-1bda-40c3-90f6-e536b3bdd82f' class='xr-var-data-in' type='checkbox'><label for='data-f85a8945-1bda-40c3-90f6-e536b3bdd82f' 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'></dl></div><div class='xr-var-data'><pre>array([&#x27;1940-01-01T00:00:00.000000000&#x27;, &#x27;1940-01-01T01:00:00.000000000&#x27;,\n",
       "       &#x27;1940-01-01T02:00:00.000000000&#x27;, ..., &#x27;2026-04-30T21:00:00.000000000&#x27;,\n",
       "       &#x27;2026-04-30T22:00:00.000000000&#x27;, &#x27;2026-04-30T23:00:00.000000000&#x27;],\n",
       "      shape=(756768,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>90.0 89.75 89.5 ... -89.75 -90.0</div><input id='attrs-eadb1996-5e1e-43bf-b1c1-52072d065930' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eadb1996-5e1e-43bf-b1c1-52072d065930' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83441c88-61bd-4d8b-beec-39dc4881c2a5' class='xr-var-data-in' type='checkbox'><label for='data-83441c88-61bd-4d8b-beec-39dc4881c2a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([ 90.  ,  89.75,  89.5 , ..., -89.5 , -89.75, -90.  ], shape=(721,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -179.8 ... 179.5 179.8</div><input id='attrs-e54dce6a-8f61-4dee-8579-19535fe0d611' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e54dce6a-8f61-4dee-8579-19535fe0d611' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1f81a24-420e-4aa0-9e7c-51b45b8cec37' class='xr-var-data-in' type='checkbox'><label for='data-c1f81a24-420e-4aa0-9e7c-51b45b8cec37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-180.  , -179.75, -179.5 , ...,  179.25,  179.5 ,  179.75],\n",
       "      shape=(1440,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>number</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-99ac58e6-7cae-41be-8a45-7ae7ccc9dd05' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99ac58e6-7cae-41be-8a45-7ae7ccc9dd05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ee13636-baa5-47ab-abdb-0cfe319df23b' class='xr-var-data-in' type='checkbox'><label for='data-2ee13636-baa5-47ab-abdb-0cfe319df23b' 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>ensemble member numerical id</dd><dt><span>standard_name :</span></dt><dd>realization</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-61d44884-4124-4bda-9bdd-320745ac6aa2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61d44884-4124-4bda-9bdd-320745ac6aa2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88089984-56c5-4ee0-b765-288966a0add4' class='xr-var-data-in' type='checkbox'><label for='data-88089984-56c5-4ee0-b765-288966a0add4' 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>original GRIB coordinate for key: level(surface)</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-774ff4d0-ccf0-4469-8a6c-732d524fce4e' class='xr-section-summary-in' type='checkbox'  ><label for='section-774ff4d0-ccf0-4469-8a6c-732d524fce4e' class='xr-section-summary' >Attributes: <span>(31)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>2 metre temperature</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>K</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 't2m' (valid_time: 756768, latitude: 721, longitude: 1440)> Size: 3TB\n",
       "dask.array<rechunk-merge, shape=(756768, 721, 1440), dtype=float32, chunksize=(4320, 64, 64), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * valid_time  (valid_time) datetime64[ns] 6MB 1940-01-01 ... 2026-04-30T23:...\n",
       "  * latitude    (latitude) float64 6kB 90.0 89.75 89.5 ... -89.5 -89.75 -90.0\n",
       "  * longitude   (longitude) float64 12kB -180.0 -179.8 -179.5 ... 179.5 179.8\n",
       "    number      int64 8B ...\n",
       "    surface     float64 8B ...\n",
       "Attributes: (12/31)\n",
       "    GRIB_NV:                                  0\n",
       "    GRIB_Nx:                                  1440\n",
       "    GRIB_Ny:                                  721\n",
       "    GRIB_cfName:                              unknown\n",
       "    GRIB_cfVarName:                           t2m\n",
       "    GRIB_dataType:                            an\n",
       "    ...                                       ...\n",
       "    GRIB_typeOfLevel:                         surface\n",
       "    GRIB_units:                               K\n",
       "    GRIB_uvRelativeToGrid:                    0\n",
       "    long_name:                                2 metre temperature\n",
       "    standard_name:                            unknown\n",
       "    units:                                    K"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t2m = t2m.assign_coords(longitude=(((t2m.longitude + 180) % 360) - 180))\n",
    "t2m = t2m.roll(longitude=int(len(t2m.longitude) / 2), roll_coords=True)\n",
    "t2m"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27",
   "metadata": {},
   "source": [
    "Also, we perform a geographical selection corresponding to continental Europe and a temporal selection of the years between 1981 and 2020."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "28",
   "metadata": {},
   "outputs": [
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       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  border-color: var(--xr-background-color-row-odd);\n",
       "  margin-bottom: 0;\n",
       "  padding-top: 2px;\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",
       "  border-color: var(--xr-background-color-row-even);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;t2m&#x27; (valid_time: 350640, latitude: 141, longitude: 181)&gt; Size: 36GB\n",
       "dask.array&lt;getitem, shape=(350640, 141, 181), dtype=float32, chunksize=(4320, 64, 64), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * valid_time  (valid_time) datetime64[ns] 3MB 1981-01-01 ... 2020-12-31T23:...\n",
       "  * latitude    (latitude) float64 1kB 71.0 70.75 70.5 70.25 ... 36.5 36.25 36.0\n",
       "  * longitude   (longitude) float64 1kB -10.0 -9.75 -9.5 ... 34.5 34.75 35.0\n",
       "    number      int64 8B ...\n",
       "    surface     float64 8B ...\n",
       "Attributes: (12/31)\n",
       "    GRIB_NV:                                  0\n",
       "    GRIB_Nx:                                  1440\n",
       "    GRIB_Ny:                                  721\n",
       "    GRIB_cfName:                              unknown\n",
       "    GRIB_cfVarName:                           t2m\n",
       "    GRIB_dataType:                            an\n",
       "    ...                                       ...\n",
       "    GRIB_typeOfLevel:                         surface\n",
       "    GRIB_units:                               K\n",
       "    GRIB_uvRelativeToGrid:                    0\n",
       "    long_name:                                2 metre temperature\n",
       "    standard_name:                            unknown\n",
       "    units:                                    K</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-obj-name'>&#x27;t2m&#x27;</div><ul class='xr-dim-list'><li><span class='xr-has-index'>valid_time</span>: 350640</li><li><span class='xr-has-index'>latitude</span>: 141</li><li><span class='xr-has-index'>longitude</span>: 181</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0a399d28-1d22-422f-a462-a6899b9d4672' class='xr-array-in' type='checkbox' checked><label for='section-0a399d28-1d22-422f-a462-a6899b9d4672' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(3456, 52, 24), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 33.34 GiB </td>\n",
       "                        <td> 67.50 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (350640, 141, 181) </td>\n",
       "                        <td> (4320, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 984 chunks in 8 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "    </tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-7caf1dda-bedd-4783-b676-3ba315fecc07' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7caf1dda-bedd-4783-b676-3ba315fecc07' class='xr-section-summary' >Coordinates: <span>(5)</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'>valid_time</span></div><div class='xr-var-dims'>(valid_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-01-01 ... 2020-12-31T23:00:00</div><input id='attrs-5b9f10c5-9c36-464e-a1b0-bff1282219ba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5b9f10c5-9c36-464e-a1b0-bff1282219ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b8b8622-ddea-4e22-8afb-390401c4154b' class='xr-var-data-in' type='checkbox'><label for='data-4b8b8622-ddea-4e22-8afb-390401c4154b' 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'></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-01-01T00:00:00.000000000&#x27;, &#x27;1981-01-01T01:00:00.000000000&#x27;,\n",
       "       &#x27;1981-01-01T02:00:00.000000000&#x27;, ..., &#x27;2020-12-31T21:00:00.000000000&#x27;,\n",
       "       &#x27;2020-12-31T22:00:00.000000000&#x27;, &#x27;2020-12-31T23:00:00.000000000&#x27;],\n",
       "      shape=(350640,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>71.0 70.75 70.5 ... 36.5 36.25 36.0</div><input id='attrs-0c9f4f31-8a62-4ece-acad-599f5e364d58' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c9f4f31-8a62-4ece-acad-599f5e364d58' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-519b3198-3dfb-49ad-a968-e489b8e16176' class='xr-var-data-in' type='checkbox'><label for='data-519b3198-3dfb-49ad-a968-e489b8e16176' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([71.  , 70.75, 70.5 , 70.25, 70.  , 69.75, 69.5 , 69.25, 69.  , 68.75,\n",
       "       68.5 , 68.25, 68.  , 67.75, 67.5 , 67.25, 67.  , 66.75, 66.5 , 66.25,\n",
       "       66.  , 65.75, 65.5 , 65.25, 65.  , 64.75, 64.5 , 64.25, 64.  , 63.75,\n",
       "       63.5 , 63.25, 63.  , 62.75, 62.5 , 62.25, 62.  , 61.75, 61.5 , 61.25,\n",
       "       61.  , 60.75, 60.5 , 60.25, 60.  , 59.75, 59.5 , 59.25, 59.  , 58.75,\n",
       "       58.5 , 58.25, 58.  , 57.75, 57.5 , 57.25, 57.  , 56.75, 56.5 , 56.25,\n",
       "       56.  , 55.75, 55.5 , 55.25, 55.  , 54.75, 54.5 , 54.25, 54.  , 53.75,\n",
       "       53.5 , 53.25, 53.  , 52.75, 52.5 , 52.25, 52.  , 51.75, 51.5 , 51.25,\n",
       "       51.  , 50.75, 50.5 , 50.25, 50.  , 49.75, 49.5 , 49.25, 49.  , 48.75,\n",
       "       48.5 , 48.25, 48.  , 47.75, 47.5 , 47.25, 47.  , 46.75, 46.5 , 46.25,\n",
       "       46.  , 45.75, 45.5 , 45.25, 45.  , 44.75, 44.5 , 44.25, 44.  , 43.75,\n",
       "       43.5 , 43.25, 43.  , 42.75, 42.5 , 42.25, 42.  , 41.75, 41.5 , 41.25,\n",
       "       41.  , 40.75, 40.5 , 40.25, 40.  , 39.75, 39.5 , 39.25, 39.  , 38.75,\n",
       "       38.5 , 38.25, 38.  , 37.75, 37.5 , 37.25, 37.  , 36.75, 36.5 , 36.25,\n",
       "       36.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-10.0 -9.75 -9.5 ... 34.75 35.0</div><input id='attrs-e41d7592-fa58-4116-bf4d-75dec97fd197' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e41d7592-fa58-4116-bf4d-75dec97fd197' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-caaf054b-fe64-4517-807e-d08edcad514e' class='xr-var-data-in' type='checkbox'><label for='data-caaf054b-fe64-4517-807e-d08edcad514e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-10.  ,  -9.75,  -9.5 ,  -9.25,  -9.  ,  -8.75,  -8.5 ,  -8.25,  -8.  ,\n",
       "        -7.75,  -7.5 ,  -7.25,  -7.  ,  -6.75,  -6.5 ,  -6.25,  -6.  ,  -5.75,\n",
       "        -5.5 ,  -5.25,  -5.  ,  -4.75,  -4.5 ,  -4.25,  -4.  ,  -3.75,  -3.5 ,\n",
       "        -3.25,  -3.  ,  -2.75,  -2.5 ,  -2.25,  -2.  ,  -1.75,  -1.5 ,  -1.25,\n",
       "        -1.  ,  -0.75,  -0.5 ,  -0.25,   0.  ,   0.25,   0.5 ,   0.75,   1.  ,\n",
       "         1.25,   1.5 ,   1.75,   2.  ,   2.25,   2.5 ,   2.75,   3.  ,   3.25,\n",
       "         3.5 ,   3.75,   4.  ,   4.25,   4.5 ,   4.75,   5.  ,   5.25,   5.5 ,\n",
       "         5.75,   6.  ,   6.25,   6.5 ,   6.75,   7.  ,   7.25,   7.5 ,   7.75,\n",
       "         8.  ,   8.25,   8.5 ,   8.75,   9.  ,   9.25,   9.5 ,   9.75,  10.  ,\n",
       "        10.25,  10.5 ,  10.75,  11.  ,  11.25,  11.5 ,  11.75,  12.  ,  12.25,\n",
       "        12.5 ,  12.75,  13.  ,  13.25,  13.5 ,  13.75,  14.  ,  14.25,  14.5 ,\n",
       "        14.75,  15.  ,  15.25,  15.5 ,  15.75,  16.  ,  16.25,  16.5 ,  16.75,\n",
       "        17.  ,  17.25,  17.5 ,  17.75,  18.  ,  18.25,  18.5 ,  18.75,  19.  ,\n",
       "        19.25,  19.5 ,  19.75,  20.  ,  20.25,  20.5 ,  20.75,  21.  ,  21.25,\n",
       "        21.5 ,  21.75,  22.  ,  22.25,  22.5 ,  22.75,  23.  ,  23.25,  23.5 ,\n",
       "        23.75,  24.  ,  24.25,  24.5 ,  24.75,  25.  ,  25.25,  25.5 ,  25.75,\n",
       "        26.  ,  26.25,  26.5 ,  26.75,  27.  ,  27.25,  27.5 ,  27.75,  28.  ,\n",
       "        28.25,  28.5 ,  28.75,  29.  ,  29.25,  29.5 ,  29.75,  30.  ,  30.25,\n",
       "        30.5 ,  30.75,  31.  ,  31.25,  31.5 ,  31.75,  32.  ,  32.25,  32.5 ,\n",
       "        32.75,  33.  ,  33.25,  33.5 ,  33.75,  34.  ,  34.25,  34.5 ,  34.75,\n",
       "        35.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>number</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-bd42116f-98bf-4062-b778-d41b80677ff7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd42116f-98bf-4062-b778-d41b80677ff7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87243cb0-1eb9-4391-8294-80a48e5f469d' class='xr-var-data-in' type='checkbox'><label for='data-87243cb0-1eb9-4391-8294-80a48e5f469d' 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>ensemble member numerical id</dd><dt><span>standard_name :</span></dt><dd>realization</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1fd0ebb1-d380-4258-929f-b950ed4564a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1fd0ebb1-d380-4258-929f-b950ed4564a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6bd587de-d7d8-49bd-bc79-1d18dd675941' class='xr-var-data-in' type='checkbox'><label for='data-6bd587de-d7d8-49bd-bc79-1d18dd675941' 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>original GRIB coordinate for key: level(surface)</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-60c280bd-e6c5-481e-9951-0ec6adb2d17e' class='xr-section-summary-in' type='checkbox'  ><label for='section-60c280bd-e6c5-481e-9951-0ec6adb2d17e' class='xr-section-summary' >Attributes: <span>(31)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>2 metre temperature</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>K</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 't2m' (valid_time: 350640, latitude: 141, longitude: 181)> Size: 36GB\n",
       "dask.array<getitem, shape=(350640, 141, 181), dtype=float32, chunksize=(4320, 64, 64), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * valid_time  (valid_time) datetime64[ns] 3MB 1981-01-01 ... 2020-12-31T23:...\n",
       "  * latitude    (latitude) float64 1kB 71.0 70.75 70.5 70.25 ... 36.5 36.25 36.0\n",
       "  * longitude   (longitude) float64 1kB -10.0 -9.75 -9.5 ... 34.5 34.75 35.0\n",
       "    number      int64 8B ...\n",
       "    surface     float64 8B ...\n",
       "Attributes: (12/31)\n",
       "    GRIB_NV:                                  0\n",
       "    GRIB_Nx:                                  1440\n",
       "    GRIB_Ny:                                  721\n",
       "    GRIB_cfName:                              unknown\n",
       "    GRIB_cfVarName:                           t2m\n",
       "    GRIB_dataType:                            an\n",
       "    ...                                       ...\n",
       "    GRIB_typeOfLevel:                         surface\n",
       "    GRIB_units:                               K\n",
       "    GRIB_uvRelativeToGrid:                    0\n",
       "    long_name:                                2 metre temperature\n",
       "    standard_name:                            unknown\n",
       "    units:                                    K"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t2m_europe = t2m.sel(latitude=slice(71, 36), longitude=slice(-10,35))\n",
    "t2m_europe_1981_2020 = t2m_europe.sel(valid_time=slice(\"1981\", \"2020\"))\n",
    "t2m_europe_1981_2020"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "29",
   "metadata": {},
   "source": [
    "The ERA5 single levels dataset is way bigger than the population one. When we access a sample of the 2 metre temperature, xarray must download every chunk that includes a portion of the selected data. \n",
    "\n",
    "To estimate the size of the download, we can use the `costing.py` module. This estimate must be done before we apply any reduction operation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "30",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Estimated download size: 12.973 GiB (13,284.0 MiB)\n"
     ]
    }
   ],
   "source": [
    "import costing\n",
    "\n",
    "costing.estimate_download_size(t2m_europe_1981_2020)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31",
   "metadata": {},
   "source": [
    "This amount of data could be easily downloaded from Earth Data Hub, thanks to data compression. However, the result of the `compute()` wouldn't fit into memory. We thus perform a reduction operation before triggering the download and computation, which greatly reduces the size of the result that will be kept in memory.\n",
    "\n",
    "We compute the annual average of the 2 metre temperature:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "32",
   "metadata": {},
   "outputs": [
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       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-top: 4px;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-group-box {\n",
       "  display: inline-grid;\n",
       "  grid-template-columns: 0px 20px auto;\n",
       "  width: 100%;\n",
       "}\n",
       "\n",
       ".xr-group-box-vline {\n",
       "  grid-column-start: 1;\n",
       "  border-right: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "  width: 0px;\n",
       "}\n",
       "\n",
       ".xr-group-box-hline {\n",
       "  grid-column-start: 2;\n",
       "  grid-row-start: 1;\n",
       "  height: 1em;\n",
       "  width: 20px;\n",
       "  border-bottom: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-group-box-contents {\n",
       "  grid-column-start: 3;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  border-color: var(--xr-background-color-row-odd);\n",
       "  margin-bottom: 0;\n",
       "  padding-top: 2px;\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",
       "  border-color: var(--xr-background-color-row-even);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;t2m&#x27; (valid_time: 40, latitude: 141, longitude: 181)&gt; Size: 4MB\n",
       "dask.array&lt;transpose, shape=(40, 141, 181), dtype=float32, chunksize=(1, 64, 64), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * valid_time  (valid_time) datetime64[ns] 320B 1981-01-01 ... 2020-01-01\n",
       "  * latitude    (latitude) float64 1kB 71.0 70.75 70.5 70.25 ... 36.5 36.25 36.0\n",
       "  * longitude   (longitude) float64 1kB -10.0 -9.75 -9.5 ... 34.5 34.75 35.0\n",
       "    number      int64 8B ...\n",
       "    surface     float64 8B ...\n",
       "Attributes: (12/31)\n",
       "    GRIB_NV:                                  0\n",
       "    GRIB_Nx:                                  1440\n",
       "    GRIB_Ny:                                  721\n",
       "    GRIB_cfName:                              unknown\n",
       "    GRIB_cfVarName:                           t2m\n",
       "    GRIB_dataType:                            an\n",
       "    ...                                       ...\n",
       "    GRIB_typeOfLevel:                         surface\n",
       "    GRIB_units:                               K\n",
       "    GRIB_uvRelativeToGrid:                    0\n",
       "    long_name:                                2 metre temperature\n",
       "    standard_name:                            unknown\n",
       "    units:                                    K</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-obj-name'>&#x27;t2m&#x27;</div><ul class='xr-dim-list'><li><span class='xr-has-index'>valid_time</span>: 40</li><li><span class='xr-has-index'>latitude</span>: 141</li><li><span class='xr-has-index'>longitude</span>: 181</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c4fdc2ea-9527-4b16-8180-a6afa3c54e86' class='xr-array-in' type='checkbox' checked><label for='section-c4fdc2ea-9527-4b16-8180-a6afa3c54e86' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(1, 52, 24), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 3.89 MiB </td>\n",
       "                        <td> 16.00 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (40, 141, 181) </td>\n",
       "                        <td> (1, 64, 64) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 480 chunks in 14 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float32 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "</table></div></div></li><li class='xr-section-item'><input id='section-6eac11c1-00d6-4781-86bd-4603e426f226' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6eac11c1-00d6-4781-86bd-4603e426f226' class='xr-section-summary' >Coordinates: <span>(5)</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'>valid_time</span></div><div class='xr-var-dims'>(valid_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-01-01 ... 2020-01-01</div><input id='attrs-ae0345e0-b914-47d4-9193-bc72ab078223' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ae0345e0-b914-47d4-9193-bc72ab078223' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38e8281b-28c6-450a-aeb7-99b4cc52ff7b' class='xr-var-data-in' type='checkbox'><label for='data-38e8281b-28c6-450a-aeb7-99b4cc52ff7b' 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'></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-01-01T00:00:00.000000000&#x27;, &#x27;1982-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-01-01T00:00:00.000000000&#x27;, &#x27;1984-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-01-01T00:00:00.000000000&#x27;, &#x27;1986-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-01-01T00:00:00.000000000&#x27;, &#x27;1988-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-01-01T00:00:00.000000000&#x27;, &#x27;1990-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-01-01T00:00:00.000000000&#x27;, &#x27;1992-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-01-01T00:00:00.000000000&#x27;, &#x27;1994-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-01-01T00:00:00.000000000&#x27;, &#x27;1996-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-01-01T00:00:00.000000000&#x27;, &#x27;1998-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-01-01T00:00:00.000000000&#x27;, &#x27;2000-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-01-01T00:00:00.000000000&#x27;, &#x27;2002-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-01-01T00:00:00.000000000&#x27;, &#x27;2004-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-01-01T00:00:00.000000000&#x27;, &#x27;2006-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-01-01T00:00:00.000000000&#x27;, &#x27;2008-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-01-01T00:00:00.000000000&#x27;, &#x27;2010-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-01-01T00:00:00.000000000&#x27;, &#x27;2012-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2014-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-01-01T00:00:00.000000000&#x27;, &#x27;2016-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-01-01T00:00:00.000000000&#x27;, &#x27;2018-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-01-01T00:00:00.000000000&#x27;, &#x27;2020-01-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>71.0 70.75 70.5 ... 36.5 36.25 36.0</div><input id='attrs-d5e29f75-5f36-4a05-bf35-d810fd04f221' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5e29f75-5f36-4a05-bf35-d810fd04f221' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f57514d2-75c6-42e3-b5b6-d396eebe0d9a' class='xr-var-data-in' type='checkbox'><label for='data-f57514d2-75c6-42e3-b5b6-d396eebe0d9a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([71.  , 70.75, 70.5 , 70.25, 70.  , 69.75, 69.5 , 69.25, 69.  , 68.75,\n",
       "       68.5 , 68.25, 68.  , 67.75, 67.5 , 67.25, 67.  , 66.75, 66.5 , 66.25,\n",
       "       66.  , 65.75, 65.5 , 65.25, 65.  , 64.75, 64.5 , 64.25, 64.  , 63.75,\n",
       "       63.5 , 63.25, 63.  , 62.75, 62.5 , 62.25, 62.  , 61.75, 61.5 , 61.25,\n",
       "       61.  , 60.75, 60.5 , 60.25, 60.  , 59.75, 59.5 , 59.25, 59.  , 58.75,\n",
       "       58.5 , 58.25, 58.  , 57.75, 57.5 , 57.25, 57.  , 56.75, 56.5 , 56.25,\n",
       "       56.  , 55.75, 55.5 , 55.25, 55.  , 54.75, 54.5 , 54.25, 54.  , 53.75,\n",
       "       53.5 , 53.25, 53.  , 52.75, 52.5 , 52.25, 52.  , 51.75, 51.5 , 51.25,\n",
       "       51.  , 50.75, 50.5 , 50.25, 50.  , 49.75, 49.5 , 49.25, 49.  , 48.75,\n",
       "       48.5 , 48.25, 48.  , 47.75, 47.5 , 47.25, 47.  , 46.75, 46.5 , 46.25,\n",
       "       46.  , 45.75, 45.5 , 45.25, 45.  , 44.75, 44.5 , 44.25, 44.  , 43.75,\n",
       "       43.5 , 43.25, 43.  , 42.75, 42.5 , 42.25, 42.  , 41.75, 41.5 , 41.25,\n",
       "       41.  , 40.75, 40.5 , 40.25, 40.  , 39.75, 39.5 , 39.25, 39.  , 38.75,\n",
       "       38.5 , 38.25, 38.  , 37.75, 37.5 , 37.25, 37.  , 36.75, 36.5 , 36.25,\n",
       "       36.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-10.0 -9.75 -9.5 ... 34.75 35.0</div><input id='attrs-5e72935b-af96-4d95-85fb-1798711f8475' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e72935b-af96-4d95-85fb-1798711f8475' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54e71ca3-ff87-46c0-9348-00e72931fb9d' class='xr-var-data-in' type='checkbox'><label for='data-54e71ca3-ff87-46c0-9348-00e72931fb9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-10.  ,  -9.75,  -9.5 ,  -9.25,  -9.  ,  -8.75,  -8.5 ,  -8.25,  -8.  ,\n",
       "        -7.75,  -7.5 ,  -7.25,  -7.  ,  -6.75,  -6.5 ,  -6.25,  -6.  ,  -5.75,\n",
       "        -5.5 ,  -5.25,  -5.  ,  -4.75,  -4.5 ,  -4.25,  -4.  ,  -3.75,  -3.5 ,\n",
       "        -3.25,  -3.  ,  -2.75,  -2.5 ,  -2.25,  -2.  ,  -1.75,  -1.5 ,  -1.25,\n",
       "        -1.  ,  -0.75,  -0.5 ,  -0.25,   0.  ,   0.25,   0.5 ,   0.75,   1.  ,\n",
       "         1.25,   1.5 ,   1.75,   2.  ,   2.25,   2.5 ,   2.75,   3.  ,   3.25,\n",
       "         3.5 ,   3.75,   4.  ,   4.25,   4.5 ,   4.75,   5.  ,   5.25,   5.5 ,\n",
       "         5.75,   6.  ,   6.25,   6.5 ,   6.75,   7.  ,   7.25,   7.5 ,   7.75,\n",
       "         8.  ,   8.25,   8.5 ,   8.75,   9.  ,   9.25,   9.5 ,   9.75,  10.  ,\n",
       "        10.25,  10.5 ,  10.75,  11.  ,  11.25,  11.5 ,  11.75,  12.  ,  12.25,\n",
       "        12.5 ,  12.75,  13.  ,  13.25,  13.5 ,  13.75,  14.  ,  14.25,  14.5 ,\n",
       "        14.75,  15.  ,  15.25,  15.5 ,  15.75,  16.  ,  16.25,  16.5 ,  16.75,\n",
       "        17.  ,  17.25,  17.5 ,  17.75,  18.  ,  18.25,  18.5 ,  18.75,  19.  ,\n",
       "        19.25,  19.5 ,  19.75,  20.  ,  20.25,  20.5 ,  20.75,  21.  ,  21.25,\n",
       "        21.5 ,  21.75,  22.  ,  22.25,  22.5 ,  22.75,  23.  ,  23.25,  23.5 ,\n",
       "        23.75,  24.  ,  24.25,  24.5 ,  24.75,  25.  ,  25.25,  25.5 ,  25.75,\n",
       "        26.  ,  26.25,  26.5 ,  26.75,  27.  ,  27.25,  27.5 ,  27.75,  28.  ,\n",
       "        28.25,  28.5 ,  28.75,  29.  ,  29.25,  29.5 ,  29.75,  30.  ,  30.25,\n",
       "        30.5 ,  30.75,  31.  ,  31.25,  31.5 ,  31.75,  32.  ,  32.25,  32.5 ,\n",
       "        32.75,  33.  ,  33.25,  33.5 ,  33.75,  34.  ,  34.25,  34.5 ,  34.75,\n",
       "        35.  ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>number</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-74b758c9-2dab-475a-86fc-c7738c67dbdb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74b758c9-2dab-475a-86fc-c7738c67dbdb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13390c5a-c07e-4c57-abaa-ded9bcb03aa6' class='xr-var-data-in' type='checkbox'><label for='data-13390c5a-c07e-4c57-abaa-ded9bcb03aa6' 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>ensemble member numerical id</dd><dt><span>standard_name :</span></dt><dd>realization</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7f3c728a-a577-4f18-8404-1cfbccf105d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f3c728a-a577-4f18-8404-1cfbccf105d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a54a0e5c-6afe-4e69-b5a3-73fa530099b3' class='xr-var-data-in' type='checkbox'><label for='data-a54a0e5c-6afe-4e69-b5a3-73fa530099b3' 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>original GRIB coordinate for key: level(surface)</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0a88c0ac-158e-4b12-95d2-80352a660d8b' class='xr-section-summary-in' type='checkbox'  ><label for='section-0a88c0ac-158e-4b12-95d2-80352a660d8b' class='xr-section-summary' >Attributes: <span>(31)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>2 metre temperature</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>K</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 't2m' (valid_time: 40, latitude: 141, longitude: 181)> Size: 4MB\n",
       "dask.array<transpose, shape=(40, 141, 181), dtype=float32, chunksize=(1, 64, 64), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * valid_time  (valid_time) datetime64[ns] 320B 1981-01-01 ... 2020-01-01\n",
       "  * latitude    (latitude) float64 1kB 71.0 70.75 70.5 70.25 ... 36.5 36.25 36.0\n",
       "  * longitude   (longitude) float64 1kB -10.0 -9.75 -9.5 ... 34.5 34.75 35.0\n",
       "    number      int64 8B ...\n",
       "    surface     float64 8B ...\n",
       "Attributes: (12/31)\n",
       "    GRIB_NV:                                  0\n",
       "    GRIB_Nx:                                  1440\n",
       "    GRIB_Ny:                                  721\n",
       "    GRIB_cfName:                              unknown\n",
       "    GRIB_cfVarName:                           t2m\n",
       "    GRIB_dataType:                            an\n",
       "    ...                                       ...\n",
       "    GRIB_typeOfLevel:                         surface\n",
       "    GRIB_units:                               K\n",
       "    GRIB_uvRelativeToGrid:                    0\n",
       "    long_name:                                2 metre temperature\n",
       "    standard_name:                            unknown\n",
       "    units:                                    K"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t2m_europe_yearly_mean = t2m_europe_1981_2020.resample(valid_time=\"YS\").mean()\n",
    "t2m_europe_yearly_mean"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33",
   "metadata": {},
   "source": [
    "At this point, the resulting dataset small enough to call `compute()` on it. Remember to assign the return of the `compute()` function to a new variable, so that the data is kept in memory.\n",
    "\n",
    "We can measure the time it takes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "34",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 11min 7s, sys: 3min 18s, total: 14min 26s\n",
      "Wall time: 14min 40s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "t2m_europe_yearly_mean_computed = t2m_europe_yearly_mean.compute()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "35",
   "metadata": {},
   "source": [
    "### Area-weighted 2 metre temperature vs population-weighted 2 metre temperature"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "36",
   "metadata": {},
   "source": [
    "To compute the area-weighted 2 metre temperature trend in Europe, we need to spatially average the temperature data using the areas of the latitude-longitude grid cells as weights:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "37",
   "metadata": {},
   "outputs": [
    {
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       "    --jp-border-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
       "  );\n",
       "  --xr-disabled-color: var(\n",
       "    --jp-layout-color3,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
       "  );\n",
       "  --xr-background-color: var(\n",
       "    --jp-layout-color0,\n",
       "    var(--pst-color-on-background, #111111)\n",
       "  );\n",
       "  --xr-background-color-row-even: var(\n",
       "    --jp-layout-color1,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
       "  );\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "  line-height: 1.6;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-obj-name,\n",
       ".xr-group-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-group-name::before {\n",
       "  content: \"📁\";\n",
       "  padding-right: 0.3em;\n",
       "}\n",
       "\n",
       ".xr-group-name,\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 0 20px 0 20px;\n",
       "  margin-block-start: 0;\n",
       "  margin-block-end: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: inline-block;\n",
       "  opacity: 0;\n",
       "  height: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "  border: 2px solid transparent !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:focus + label {\n",
       "  border: 2px solid var(--xr-font-color0) !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: \"►\";\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: \"▼\";\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-top: 4px;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-group-box {\n",
       "  display: inline-grid;\n",
       "  grid-template-columns: 0px 20px auto;\n",
       "  width: 100%;\n",
       "}\n",
       "\n",
       ".xr-group-box-vline {\n",
       "  grid-column-start: 1;\n",
       "  border-right: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "  width: 0px;\n",
       "}\n",
       "\n",
       ".xr-group-box-hline {\n",
       "  grid-column-start: 2;\n",
       "  grid-row-start: 1;\n",
       "  height: 1em;\n",
       "  width: 20px;\n",
       "  border-bottom: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-group-box-contents {\n",
       "  grid-column-start: 3;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  border-color: var(--xr-background-color-row-odd);\n",
       "  margin-bottom: 0;\n",
       "  padding-top: 2px;\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",
       "  border-color: var(--xr-background-color-row-even);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;t2m&#x27; (valid_time: 40)&gt; Size: 320B\n",
       "array([282.44060173, 282.80726744, 282.88833763, 282.59481572,\n",
       "       281.92272722, 282.38664733, 282.02955936, 282.84208603,\n",
       "       283.52346136, 283.53606642, 282.746041  , 282.97611395,\n",
       "       282.53185087, 283.27298412, 283.04627173, 282.35752562,\n",
       "       283.0313843 , 282.96213073, 283.44426336, 283.56753882,\n",
       "       283.21514751, 283.53828153, 283.4645456 , 283.27169292,\n",
       "       283.23578931, 283.56501609, 283.72337254, 283.61448899,\n",
       "       283.52041778, 282.81172874, 283.66797716, 283.26656075,\n",
       "       283.43727423, 284.12849353, 284.01713386, 283.80555228,\n",
       "       283.7526294 , 284.05611564, 284.0403951 , 284.34887736])\n",
       "Coordinates:\n",
       "  * valid_time  (valid_time) datetime64[ns] 320B 1981-01-01 ... 2020-01-01\n",
       "    number      int64 8B 0\n",
       "    surface     float64 8B 0.0\n",
       "Attributes: (12/31)\n",
       "    GRIB_NV:                                  0\n",
       "    GRIB_Nx:                                  1440\n",
       "    GRIB_Ny:                                  721\n",
       "    GRIB_cfName:                              unknown\n",
       "    GRIB_cfVarName:                           t2m\n",
       "    GRIB_dataType:                            an\n",
       "    ...                                       ...\n",
       "    GRIB_typeOfLevel:                         surface\n",
       "    GRIB_units:                               K\n",
       "    GRIB_uvRelativeToGrid:                    0\n",
       "    long_name:                                2 metre temperature\n",
       "    standard_name:                            unknown\n",
       "    units:                                    K</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-obj-name'>&#x27;t2m&#x27;</div><ul class='xr-dim-list'><li><span class='xr-has-index'>valid_time</span>: 40</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-49e7cff7-fb5e-40ae-b716-5b96e4ed9326' class='xr-array-in' type='checkbox' checked><label for='section-49e7cff7-fb5e-40ae-b716-5b96e4ed9326' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>282.4 282.8 282.9 282.6 281.9 282.4 ... 283.8 283.8 284.1 284.0 284.3</span></div><div class='xr-array-data'><pre>array([282.44060173, 282.80726744, 282.88833763, 282.59481572,\n",
       "       281.92272722, 282.38664733, 282.02955936, 282.84208603,\n",
       "       283.52346136, 283.53606642, 282.746041  , 282.97611395,\n",
       "       282.53185087, 283.27298412, 283.04627173, 282.35752562,\n",
       "       283.0313843 , 282.96213073, 283.44426336, 283.56753882,\n",
       "       283.21514751, 283.53828153, 283.4645456 , 283.27169292,\n",
       "       283.23578931, 283.56501609, 283.72337254, 283.61448899,\n",
       "       283.52041778, 282.81172874, 283.66797716, 283.26656075,\n",
       "       283.43727423, 284.12849353, 284.01713386, 283.80555228,\n",
       "       283.7526294 , 284.05611564, 284.0403951 , 284.34887736])</pre></div></div></li><li class='xr-section-item'><input id='section-efa260b8-1bce-4a34-9c9b-f4ada73da4a0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-efa260b8-1bce-4a34-9c9b-f4ada73da4a0' 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'>valid_time</span></div><div class='xr-var-dims'>(valid_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1981-01-01 ... 2020-01-01</div><input id='attrs-0ef184f5-e7f7-4379-a29f-20b36b5cac89' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0ef184f5-e7f7-4379-a29f-20b36b5cac89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e20df1d0-7dfd-4c9c-b574-4910ac12bc18' class='xr-var-data-in' type='checkbox'><label for='data-e20df1d0-7dfd-4c9c-b574-4910ac12bc18' 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'></dl></div><div class='xr-var-data'><pre>array([&#x27;1981-01-01T00:00:00.000000000&#x27;, &#x27;1982-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1983-01-01T00:00:00.000000000&#x27;, &#x27;1984-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1985-01-01T00:00:00.000000000&#x27;, &#x27;1986-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1987-01-01T00:00:00.000000000&#x27;, &#x27;1988-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1989-01-01T00:00:00.000000000&#x27;, &#x27;1990-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1991-01-01T00:00:00.000000000&#x27;, &#x27;1992-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1993-01-01T00:00:00.000000000&#x27;, &#x27;1994-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1995-01-01T00:00:00.000000000&#x27;, &#x27;1996-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1997-01-01T00:00:00.000000000&#x27;, &#x27;1998-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1999-01-01T00:00:00.000000000&#x27;, &#x27;2000-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-01-01T00:00:00.000000000&#x27;, &#x27;2002-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2003-01-01T00:00:00.000000000&#x27;, &#x27;2004-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2005-01-01T00:00:00.000000000&#x27;, &#x27;2006-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2007-01-01T00:00:00.000000000&#x27;, &#x27;2008-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2009-01-01T00:00:00.000000000&#x27;, &#x27;2010-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2011-01-01T00:00:00.000000000&#x27;, &#x27;2012-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2014-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2015-01-01T00:00:00.000000000&#x27;, &#x27;2016-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-01-01T00:00:00.000000000&#x27;, &#x27;2018-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-01-01T00:00:00.000000000&#x27;, &#x27;2020-01-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>number</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-0c18a9d3-685b-47a5-928d-4c98494b73f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c18a9d3-685b-47a5-928d-4c98494b73f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-adae40e6-4331-41d2-97e7-30bc541d8768' class='xr-var-data-in' type='checkbox'><label for='data-adae40e6-4331-41d2-97e7-30bc541d8768' 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>ensemble member numerical id</dd><dt><span>standard_name :</span></dt><dd>realization</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>surface</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-da46ac9d-f33d-48bc-8ab1-fa48c5e44754' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da46ac9d-f33d-48bc-8ab1-fa48c5e44754' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe583957-527b-4202-8d58-71ad0a296512' class='xr-var-data-in' type='checkbox'><label for='data-fe583957-527b-4202-8d58-71ad0a296512' 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>original GRIB coordinate for key: level(surface)</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-571d3260-c06b-41b4-88c1-2c9c5083bb8a' class='xr-section-summary-in' type='checkbox'  ><label for='section-571d3260-c06b-41b4-88c1-2c9c5083bb8a' class='xr-section-summary' >Attributes: <span>(31)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>1440</dd><dt><span>GRIB_Ny :</span></dt><dd>721</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>t2m</dd><dt><span>GRIB_dataType :</span></dt><dd>an</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/Longitude Grid</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.25</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>359.75</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>2 metre temperature</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>1038240</dd><dt><span>GRIB_paramId :</span></dt><dd>167</dd><dt><span>GRIB_shortName :</span></dt><dd>2t</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_totalNumber :</span></dt><dd>0</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_units :</span></dt><dd>K</dd><dt><span>GRIB_uvRelativeToGrid :</span></dt><dd>0</dd><dt><span>long_name :</span></dt><dd>2 metre temperature</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>units :</span></dt><dd>K</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 't2m' (valid_time: 40)> Size: 320B\n",
       "array([282.44060173, 282.80726744, 282.88833763, 282.59481572,\n",
       "       281.92272722, 282.38664733, 282.02955936, 282.84208603,\n",
       "       283.52346136, 283.53606642, 282.746041  , 282.97611395,\n",
       "       282.53185087, 283.27298412, 283.04627173, 282.35752562,\n",
       "       283.0313843 , 282.96213073, 283.44426336, 283.56753882,\n",
       "       283.21514751, 283.53828153, 283.4645456 , 283.27169292,\n",
       "       283.23578931, 283.56501609, 283.72337254, 283.61448899,\n",
       "       283.52041778, 282.81172874, 283.66797716, 283.26656075,\n",
       "       283.43727423, 284.12849353, 284.01713386, 283.80555228,\n",
       "       283.7526294 , 284.05611564, 284.0403951 , 284.34887736])\n",
       "Coordinates:\n",
       "  * valid_time  (valid_time) datetime64[ns] 320B 1981-01-01 ... 2020-01-01\n",
       "    number      int64 8B 0\n",
       "    surface     float64 8B 0.0\n",
       "Attributes: (12/31)\n",
       "    GRIB_NV:                                  0\n",
       "    GRIB_Nx:                                  1440\n",
       "    GRIB_Ny:                                  721\n",
       "    GRIB_cfName:                              unknown\n",
       "    GRIB_cfVarName:                           t2m\n",
       "    GRIB_dataType:                            an\n",
       "    ...                                       ...\n",
       "    GRIB_typeOfLevel:                         surface\n",
       "    GRIB_units:                               K\n",
       "    GRIB_uvRelativeToGrid:                    0\n",
       "    long_name:                                2 metre temperature\n",
       "    standard_name:                            unknown\n",
       "    units:                                    K"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "weights = np.cos(np.deg2rad(t2m_europe_yearly_mean_computed.latitude))\n",
    "weights.name = \"weights\"\n",
    "\n",
    "t2m_europe_yearly_mean_area_weighted = t2m_europe_yearly_mean_computed.weighted(weights).mean((\"longitude\", \"latitude\"))\n",
    "t2m_europe_yearly_mean_area_weighted"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38",
   "metadata": {},
   "source": [
    "To compute the population-weighted 2 metre temperature we will follow the same logic, but this time we will use the population data as weight. To make the population data and temperature data compatible we need to transform the `valid_time` coordinate of the temperature data to the `year`coordinate of the population data so that the two data array can be easily multiplied:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "39",
   "metadata": {},
   "outputs": [],
   "source": [
    "# shorten the names and replace the valid_time coordinate\n",
    "temperature = t2m_europe_yearly_mean_computed.assign_coords({\"year\" : t2m_europe_yearly_mean_computed.valid_time.dt.year}).swap_dims({\"valid_time\": \"year\"}).drop_vars(\"valid_time\")\n",
    "population = europe_population_bands_total_computed\n",
    "\n",
    "# compute the population weighted temperature\n",
    "t2m_europe_yearly_mean_population_weighted = (temperature * population).sum(dim=[\"latitude\", \"longitude\"]) / population.sum(dim=[\"latitude\", \"longitude\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40",
   "metadata": {},
   "source": [
    "### 5. Visualisation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "41",
   "metadata": {},
   "source": [
    "Finally, we can compare the area-weighted temperature with the population-weighted temperature in the same graph. The first one is the average temperature experienced by the territory, while the second represents the average temperature experienced by people. Notice that the latter is higher than the first."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "42",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(t2m_europe_yearly_mean_area_weighted.valid_time.dt.year, t2m_europe_yearly_mean_area_weighted, marker='o', label='Area-Weighted Average Temperature')\n",
    "plt.plot(t2m_europe_yearly_mean_population_weighted.year, t2m_europe_yearly_mean_population_weighted, marker='o', label='Population-Weighted Average Temperature')\n",
    "plt.legend()\n",
    "plt.title(\"Europe area Average Temperature (1981-2020)\", fontsize=14)\n",
    "plt.xlabel(\"Year\", fontsize=12)\n",
    "plt.ylabel(\"Average Temperature\", fontsize=12)\n",
    "plt.grid(True)\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "description": "This notebook demonstrates how to calculate population-weighted average temperature using ERA5-Land data and population data."
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
