{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Fetching Up to date forecast\n",
    "\n",
    "this notebook show a simple way to fetch the up to date forecast of the ARPEGE 0.1° model from the météo France, hosted on [meteo.data.gouv.fr](https://meteo.data.gouv.fr/datasets/65bd13b2eb9e79ab309f6e63).\n",
    "\n",
    "# TODO : Refocator all of that"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "https://object.data.gouv.fr/meteofrance-pnt/pnt/2024-06-14T00:00:00Z/arpege/01/SP1/arpege__01__SP1__000H012H__2024-06-14T00:00:00Z.grib2\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "base_url = \"https://object.data.gouv.fr/meteofrance-pnt/pnt/{date}T{time}Z/arpege/01/SP1/arpege__01__SP1__{forecast}__{date}T{time}Z.grib2\"\n",
    "\n",
    "forecast_horizons = [\"000H012H\", \"013H024H\"]\n",
    "date = pd.Timestamp(\"today\").strftime(\"%Y-%m-%d\")\n",
    "time = \"00:00:00\"\n",
    "\n",
    "url = base_url.format(forecast=forecast_horizons[0], date=date, time=time)\n",
    "print(url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "https://object.data.gouv.fr/meteofrance-pnt/pnt/2024-06-14T00:00:00Z/arpege/01/SP1/arpege__01__SP1__000H012H__2024-06-14T00:00:00Z.grib2\n",
      "https://object.data.gouv.fr/meteofrance-pnt/pnt/2024-06-14T00:00:00Z/arpege/01/SP1/arpege__01__SP1__013H024H__2024-06-14T00:00:00Z.grib2\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "\n",
    "tmp_dir = \"/tmp\"\n",
    "for forecast in forecast_horizons:\n",
    "    url = base_url.format(forecast=forecast, date=date, time=time)\n",
    "    print(url)\n",
    "    filename = f\"{tmp_dir}/arpege__01__SP1__{forecast}__{date}T{time}Z.grib2\"\n",
    "    r = requests.get(url, allow_redirects=True)\n",
    "    open(filename, \"wb\").write(r.content)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Ignoring index file '/tmp/arpege__01__SP1__000H012H__2024-06-14T00:00:00Z.grib2.789e2.idx' older than GRIB file\n",
      "Ignoring index file '/tmp/arpege__01__SP1__000H012H__2024-06-14T00:00:00Z.grib2.d5933.idx' older than GRIB file\n",
      "Ignoring index file '/tmp/arpege__01__SP1__013H024H__2024-06-14T00:00:00Z.grib2.789e2.idx' older than GRIB file\n",
      "Ignoring index file '/tmp/arpege__01__SP1__013H024H__2024-06-14T00:00:00Z.grib2.d5933.idx' older than GRIB file\n"
     ]
    }
   ],
   "source": [
    "import xarray as xr\n",
    "\n",
    "KEYS_FILTER_SSPD = {\n",
    "    \"typeOfLevel\": \"surface\",\n",
    "    \"cfVarName\": \"ssrd\",\n",
    "}\n",
    "KEYS_FILTER_WIND = {\n",
    "    \"typeOfLevel\": \"heightAboveGround\",\n",
    "    \"level\": 10,\n",
    "    \"cfVarName\": \"si10\",\n",
    "}\n",
    "KEYS_FILTER_T2M = {\n",
    "    \"typeOfLevel\": \"heightAboveGround\",\n",
    "    \"level\": 2,\n",
    "    \"cfVarName\": \"t2m\",\n",
    "}\n",
    "\n",
    "da_suns = []\n",
    "da_winds = []\n",
    "for forecast_horizon in forecast_horizons:\n",
    "    filename = f\"{tmp_dir}/arpege__01__SP1__{forecast_horizon}__{date}T{time}Z.grib2\"\n",
    "    da_tmp = xr.open_dataset(\n",
    "        filename, engine=\"cfgrib\", backend_kwargs={\"filter_by_keys\": KEYS_FILTER_SSPD}\n",
    "    ).ssrd\n",
    "    da_suns.append(da_tmp)\n",
    "    da_tmp = xr.open_dataset(\n",
    "        filename, engine=\"cfgrib\", backend_kwargs={\"filter_by_keys\": KEYS_FILTER_WIND}\n",
    "    ).si10\n",
    "    da_winds.append(da_tmp)\n",
    "\n",
    "da_sun = xr.concat(da_suns, dim=\"step\")\n",
    "da_wind = xr.concat(da_winds, dim=\"step\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7a824e840090>]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "da_sun.mean([\"latitude\", \"longitude\"]).plot(x=\"valid_time\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7a824e8b3890>]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "da_wind.mean([\"latitude\", \"longitude\"]).plot(x=\"valid_time\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Regions Selections\n",
    "\n",
    "This section shows how to select the regions of interest."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'min_lon': -4.79542,\n",
       " 'max_lon': 9.55996,\n",
       " 'min_lat': 41.36484,\n",
       " 'max_lat': 51.089}"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import yaml\n",
    "\n",
    "filename_bounds = \"./france_bounds.yml\"\n",
    "bounds = yaml.safe_load(open(filename_bounds, \"r\"))\n",
    "min_lon = bounds[\"min_lon\"]\n",
    "max_lon = bounds[\"max_lon\"]\n",
    "min_lat = bounds[\"min_lat\"]\n",
    "max_lat = bounds[\"max_lat\"]\n",
    "bounds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Île-de-France',\n",
       " 'Centre-Val de Loire',\n",
       " 'Bourgogne-Franche-Comté',\n",
       " 'Normandie',\n",
       " 'Hauts-de-France',\n",
       " 'Grand Est',\n",
       " 'Pays de la Loire',\n",
       " 'Bretagne',\n",
       " 'Nouvelle-Aquitaine',\n",
       " 'Occitanie',\n",
       " 'Auvergne-Rhône-Alpes',\n",
       " \"Provence-Alpes-Côte d'Azur\",\n",
       " 'Corse']"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regions_names = yaml.safe_load(open(\"./regions.yml\", \"r\"))\n",
    "regions_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (longitude: 143, latitude: 97)&gt; Size: 111kB\n",
       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float64 1kB -4.7 -4.6 -4.5 -4.4 ... 9.2 9.3 9.4 9.5\n",
       "  * latitude   (latitude) float64 776B 51.0 50.9 50.8 50.7 ... 41.6 41.5 41.4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>longitude</span>: 143</li><li><span class='xr-has-index'>latitude</span>: 97</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8720e62a-e61b-4749-a4bb-ccf867daed15' class='xr-array-in' type='checkbox' checked><label for='section-8720e62a-e61b-4749-a4bb-ccf867daed15' 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>nan nan nan nan nan nan nan nan ... 12.0 nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-37af1331-3ba5-442f-887f-cb46d6b69304' class='xr-section-summary-in' type='checkbox'  checked><label for='section-37af1331-3ba5-442f-887f-cb46d6b69304' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span 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'>-4.7 -4.6 -4.5 -4.4 ... 9.3 9.4 9.5</div><input id='attrs-f740561e-dad2-4407-8118-9e8af92fd12b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f740561e-dad2-4407-8118-9e8af92fd12b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eec7a15c-153e-4e60-b3d1-1891dbbf4e99' class='xr-var-data-in' type='checkbox'><label for='data-eec7a15c-153e-4e60-b3d1-1891dbbf4e99' title='Show/Hide data 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([-4.700000e+00, -4.600000e+00, -4.500000e+00, -4.400000e+00,\n",
       "       -4.300000e+00, -4.200000e+00, -4.100000e+00, -4.000000e+00,\n",
       "       -3.900000e+00, -3.800000e+00, -3.700000e+00, -3.600000e+00,\n",
       "       -3.500000e+00, -3.400000e+00, -3.300000e+00, -3.200000e+00,\n",
       "       -3.100000e+00, -3.000000e+00, -2.900000e+00, -2.800000e+00,\n",
       "       -2.700000e+00, -2.600000e+00, -2.500000e+00, -2.400000e+00,\n",
       "       -2.300000e+00, -2.200000e+00, -2.100000e+00, -2.000000e+00,\n",
       "       -1.900000e+00, -1.800000e+00, -1.700000e+00, -1.600000e+00,\n",
       "       -1.500000e+00, -1.400000e+00, -1.300000e+00, -1.200000e+00,\n",
       "       -1.100000e+00, -1.000000e+00, -9.000000e-01, -8.000000e-01,\n",
       "       -7.000000e-01, -6.000000e-01, -5.000000e-01, -4.000000e-01,\n",
       "       -3.000000e-01, -2.000000e-01, -1.000000e-01,  1.858236e-13,\n",
       "        1.000000e-01,  2.000000e-01,  3.000000e-01,  4.000000e-01,\n",
       "        5.000000e-01,  6.000000e-01,  7.000000e-01,  8.000000e-01,\n",
       "        9.000000e-01,  1.000000e+00,  1.100000e+00,  1.200000e+00,\n",
       "        1.300000e+00,  1.400000e+00,  1.500000e+00,  1.600000e+00,\n",
       "        1.700000e+00,  1.800000e+00,  1.900000e+00,  2.000000e+00,\n",
       "        2.100000e+00,  2.200000e+00,  2.300000e+00,  2.400000e+00,\n",
       "        2.500000e+00,  2.600000e+00,  2.700000e+00,  2.800000e+00,\n",
       "        2.900000e+00,  3.000000e+00,  3.100000e+00,  3.200000e+00,\n",
       "        3.300000e+00,  3.400000e+00,  3.500000e+00,  3.600000e+00,\n",
       "        3.700000e+00,  3.800000e+00,  3.900000e+00,  4.000000e+00,\n",
       "        4.100000e+00,  4.200000e+00,  4.300000e+00,  4.400000e+00,\n",
       "        4.500000e+00,  4.600000e+00,  4.700000e+00,  4.800000e+00,\n",
       "        4.900000e+00,  5.000000e+00,  5.100000e+00,  5.200000e+00,\n",
       "        5.300000e+00,  5.400000e+00,  5.500000e+00,  5.600000e+00,\n",
       "        5.700000e+00,  5.800000e+00,  5.900000e+00,  6.000000e+00,\n",
       "        6.100000e+00,  6.200000e+00,  6.300000e+00,  6.400000e+00,\n",
       "        6.500000e+00,  6.600000e+00,  6.700000e+00,  6.800000e+00,\n",
       "        6.900000e+00,  7.000000e+00,  7.100000e+00,  7.200000e+00,\n",
       "        7.300000e+00,  7.400000e+00,  7.500000e+00,  7.600000e+00,\n",
       "        7.700000e+00,  7.800000e+00,  7.900000e+00,  8.000000e+00,\n",
       "        8.100000e+00,  8.200000e+00,  8.300000e+00,  8.400000e+00,\n",
       "        8.500000e+00,  8.600000e+00,  8.700000e+00,  8.800000e+00,\n",
       "        8.900000e+00,  9.000000e+00,  9.100000e+00,  9.200000e+00,\n",
       "        9.300000e+00,  9.400000e+00,  9.500000e+00])</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'>51.0 50.9 50.8 ... 41.6 41.5 41.4</div><input id='attrs-fbc1ab39-eb87-48f3-8074-a92362592dc6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fbc1ab39-eb87-48f3-8074-a92362592dc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6dbf988f-1d24-475c-9b2b-d5e31d4ae85a' class='xr-var-data-in' type='checkbox'><label for='data-6dbf988f-1d24-475c-9b2b-d5e31d4ae85a' title='Show/Hide data 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([51. , 50.9, 50.8, 50.7, 50.6, 50.5, 50.4, 50.3, 50.2, 50.1, 50. , 49.9,\n",
       "       49.8, 49.7, 49.6, 49.5, 49.4, 49.3, 49.2, 49.1, 49. , 48.9, 48.8, 48.7,\n",
       "       48.6, 48.5, 48.4, 48.3, 48.2, 48.1, 48. , 47.9, 47.8, 47.7, 47.6, 47.5,\n",
       "       47.4, 47.3, 47.2, 47.1, 47. , 46.9, 46.8, 46.7, 46.6, 46.5, 46.4, 46.3,\n",
       "       46.2, 46.1, 46. , 45.9, 45.8, 45.7, 45.6, 45.5, 45.4, 45.3, 45.2, 45.1,\n",
       "       45. , 44.9, 44.8, 44.7, 44.6, 44.5, 44.4, 44.3, 44.2, 44.1, 44. , 43.9,\n",
       "       43.8, 43.7, 43.6, 43.5, 43.4, 43.3, 43.2, 43.1, 43. , 42.9, 42.8, 42.7,\n",
       "       42.6, 42.5, 42.4, 42.3, 42.2, 42.1, 42. , 41.9, 41.8, 41.7, 41.6, 41.5,\n",
       "       41.4])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8edfda47-f95d-4641-88b7-427ada1418ad' class='xr-section-summary-in' type='checkbox'  ><label for='section-8edfda47-f95d-4641-88b7-427ada1418ad' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d514ca6e-743d-41bc-b2f7-14000bd3d98d' class='xr-index-data-in' type='checkbox'/><label for='index-d514ca6e-743d-41bc-b2f7-14000bd3d98d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-4.6999999999998145,  -4.599999999999815,  -4.499999999999815,\n",
       "        -4.399999999999816,  -4.299999999999816,  -4.199999999999816,\n",
       "        -4.099999999999817, -3.9999999999998166, -3.8999999999998165,\n",
       "       -3.7999999999998164,\n",
       "       ...\n",
       "         8.600000000000172,   8.700000000000172,   8.800000000000171,\n",
       "          8.90000000000017,    9.00000000000017,    9.10000000000017,\n",
       "          9.20000000000017,    9.30000000000017,   9.400000000000169,\n",
       "         9.500000000000169],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;longitude&#x27;, length=143))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5ce2e943-c5a3-48f3-8a98-409ab081f077' class='xr-index-data-in' type='checkbox'/><label for='index-5ce2e943-c5a3-48f3-8a98-409ab081f077' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 51.00000000000027,  50.90000000000027,  50.80000000000027,\n",
       "       50.700000000000266, 50.600000000000264,  50.50000000000026,\n",
       "        50.40000000000026,  50.30000000000026,  50.20000000000026,\n",
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       "        48.00000000000023, 47.900000000000226, 47.800000000000225,\n",
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       "       47.100000000000215,  47.00000000000021,  46.90000000000021,\n",
       "        46.80000000000021,  46.70000000000021,  46.60000000000021,\n",
       "       46.500000000000206, 46.400000000000205,   46.3000000000002,\n",
       "         46.2000000000002,   46.1000000000002,   46.0000000000002,\n",
       "         45.9000000000002, 45.800000000000196, 45.700000000000195,\n",
       "        45.60000000000019,  45.50000000000019,  45.40000000000019,\n",
       "        45.30000000000019,  45.20000000000019, 45.100000000000186,\n",
       "       45.000000000000185,  44.90000000000018,  44.80000000000018,\n",
       "        44.70000000000018,  44.60000000000018,  44.50000000000018,\n",
       "       44.400000000000176, 44.300000000000175,  44.20000000000017,\n",
       "        44.10000000000017,  44.00000000000017,  43.90000000000017,\n",
       "        43.80000000000017, 43.700000000000166, 43.600000000000165,\n",
       "        43.50000000000016,  43.40000000000016,  43.30000000000016,\n",
       "        43.20000000000016,  43.10000000000016, 43.000000000000156,\n",
       "       42.900000000000155,  42.80000000000015,  42.70000000000015,\n",
       "        42.60000000000015,  42.50000000000015,  42.40000000000015,\n",
       "       42.300000000000146, 42.200000000000145,  42.10000000000014,\n",
       "        42.00000000000014,  41.90000000000014,  41.80000000000014,\n",
       "        41.70000000000014, 41.600000000000136, 41.500000000000135,\n",
       "       41.400000000000134],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;latitude&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c3190c9a-e16c-4b48-99f4-7fcc718de5f3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c3190c9a-e16c-4b48-99f4-7fcc718de5f3' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (longitude: 143, latitude: 97)> Size: 111kB\n",
       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]])\n",
       "Coordinates:\n",
       "  * longitude  (longitude) float64 1kB -4.7 -4.6 -4.5 -4.4 ... 9.2 9.3 9.4 9.5\n",
       "  * latitude   (latitude) float64 776B 51.0 50.9 50.8 50.7 ... 41.6 41.5 41.4"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "masks = xr.load_dataarray(\"./mask_france_regions.nc\")\n",
    "masks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
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       "        2.168975 ],\n",
       "       [4.489919 , 5.513933 , 4.3274903, 5.1862683, 5.875749 , 2.9034426,\n",
       "        4.276406 , 4.189905 , 4.0086737, 1.8521403, 3.1398833, 1.7972649,\n",
       "        2.0536613],\n",
       "       [4.7292566, 5.4604716, 4.472719 , 5.031581 , 5.7862563, 3.5444107,\n",
       "        3.7230563, 4.0997047, 3.7875435, 1.8912587, 3.2018595, 1.7687811,\n",
       "        1.945979 ],\n",
       "       [4.794839 , 5.1926055, 4.6337023, 4.969603 , 5.718553 , 4.10932  ,\n",
       "        3.7716787, 4.2422333, 3.6012459, 1.8309088, 3.3185728, 1.5955588,\n",
       "...\n",
       "        7.831558 , 8.190574 , 4.9081326, 4.0079556, 3.741763 , 2.7064288,\n",
       "        1.9084607],\n",
       "       [6.0472727, 6.5705533, 4.2902894, 5.991585 , 4.7212768, 4.5449133,\n",
       "        7.984231 , 8.034786 , 4.8415146, 3.89688  , 3.526491 , 2.6235993,\n",
       "        1.3268776],\n",
       "       [5.4628553, 6.6761065, 4.471928 , 6.7887735, 4.6536603, 4.8045125,\n",
       "        7.8817663, 7.6242557, 4.7331285, 3.5951288, 3.3250184, 2.6223977,\n",
       "        1.1473461],\n",
       "       [5.478565 , 6.6750846, 4.699337 , 7.140038 , 4.5736847, 5.102801 ,\n",
       "        7.726341 , 6.9882126, 4.671682 , 3.4135349, 3.2307334, 2.6370065,\n",
       "        1.2340739],\n",
       "       [6.2646194, 6.649729 , 4.681647 , 7.6925907, 4.961998 , 5.2455564,\n",
       "        7.3468404, 6.5835176, 4.766712 , 3.3322113, 3.4290023, 2.7505903,\n",
       "        1.3582473],\n",
       "       [6.5186   , 6.928161 , 4.544454 , 8.074212 , 5.6381497, 5.2747464,\n",
       "        6.6815963, 6.314526 , 4.6499653, 3.4512608, 3.813115 , 2.8217368,\n",
       "        1.4309248],\n",
       "       [6.653599 , 7.106466 , 4.980348 , 7.927352 , 6.568499 , 5.2746086,\n",
       "        6.219347 , 5.915178 , 4.480625 , 3.382714 , 4.1069565, 2.831832 ,\n",
       "        1.6329246]], dtype=float32)\n",
       "Coordinates:\n",
       "    time               datetime64[ns] 8B 2024-06-14\n",
       "  * step               (step) timedelta64[ns] 200B 00:00:00 ... 1 days 00:00:00\n",
       "    heightAboveGround  float64 8B 10.0\n",
       "    valid_time         (step) datetime64[ns] 200B 2024-06-14 ... 2024-06-15\n",
       "  * region             (region) &lt;U26 1kB &#x27;Île-de-France&#x27; ... &#x27;Corse&#x27;\n",
       "Attributes: (12/29)\n",
       "    GRIB_paramId:                             207\n",
       "    GRIB_dataType:                            fc\n",
       "    GRIB_numberOfPoints:                      386061\n",
       "    GRIB_typeOfLevel:                         heightAboveGround\n",
       "    GRIB_stepUnits:                           1\n",
       "    GRIB_stepType:                            instant\n",
       "    ...                                       ...\n",
       "    GRIB_name:                                10 metre wind speed\n",
       "    GRIB_shortName:                           10si\n",
       "    GRIB_units:                               m s**-1\n",
       "    long_name:                                10 metre wind speed\n",
       "    units:                                    m s**-1\n",
       "    standard_name:                            unknown</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'si10'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>step</span>: 25</li><li><span class='xr-has-index'>region</span>: 13</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2ba858c9-651b-4586-81bf-b38794a6f48c' class='xr-array-in' type='checkbox' checked><label for='section-2ba858c9-651b-4586-81bf-b38794a6f48c' 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>3.634 4.727 2.89 6.463 4.643 2.571 ... 4.481 3.383 4.107 2.832 1.633</span></div><div class='xr-array-data'><pre>array([[3.633834 , 4.726924 , 2.890073 , 6.462578 , 4.6430645, 2.5707262,\n",
       "        5.893275 , 4.5465994, 3.987221 , 1.9507447, 3.1654837, 1.6676582,\n",
       "        2.0362241],\n",
       "       [3.2270477, 4.5367227, 3.1619112, 5.9841156, 4.9005775, 2.5648384,\n",
       "        5.5866203, 4.4071183, 4.0192533, 1.9807669, 3.222778 , 1.7768989,\n",
       "        2.3054676],\n",
       "       [3.563212 , 4.9562073, 3.6203182, 5.6698127, 5.4124393, 2.6153326,\n",
       "        5.2358146, 4.3605576, 4.083691 , 1.9310851, 3.28721  , 1.727055 ,\n",
       "        2.2345347],\n",
       "       [4.003104 , 5.397727 , 4.08255  , 5.3970237, 5.878717 , 2.577101 ,\n",
       "        4.7475724, 4.2789207, 4.08367  , 1.8213174, 3.2024512, 1.7382587,\n",
       "        2.168975 ],\n",
       "       [4.489919 , 5.513933 , 4.3274903, 5.1862683, 5.875749 , 2.9034426,\n",
       "        4.276406 , 4.189905 , 4.0086737, 1.8521403, 3.1398833, 1.7972649,\n",
       "        2.0536613],\n",
       "       [4.7292566, 5.4604716, 4.472719 , 5.031581 , 5.7862563, 3.5444107,\n",
       "        3.7230563, 4.0997047, 3.7875435, 1.8912587, 3.2018595, 1.7687811,\n",
       "        1.945979 ],\n",
       "       [4.794839 , 5.1926055, 4.6337023, 4.969603 , 5.718553 , 4.10932  ,\n",
       "        3.7716787, 4.2422333, 3.6012459, 1.8309088, 3.3185728, 1.5955588,\n",
       "...\n",
       "        7.831558 , 8.190574 , 4.9081326, 4.0079556, 3.741763 , 2.7064288,\n",
       "        1.9084607],\n",
       "       [6.0472727, 6.5705533, 4.2902894, 5.991585 , 4.7212768, 4.5449133,\n",
       "        7.984231 , 8.034786 , 4.8415146, 3.89688  , 3.526491 , 2.6235993,\n",
       "        1.3268776],\n",
       "       [5.4628553, 6.6761065, 4.471928 , 6.7887735, 4.6536603, 4.8045125,\n",
       "        7.8817663, 7.6242557, 4.7331285, 3.5951288, 3.3250184, 2.6223977,\n",
       "        1.1473461],\n",
       "       [5.478565 , 6.6750846, 4.699337 , 7.140038 , 4.5736847, 5.102801 ,\n",
       "        7.726341 , 6.9882126, 4.671682 , 3.4135349, 3.2307334, 2.6370065,\n",
       "        1.2340739],\n",
       "       [6.2646194, 6.649729 , 4.681647 , 7.6925907, 4.961998 , 5.2455564,\n",
       "        7.3468404, 6.5835176, 4.766712 , 3.3322113, 3.4290023, 2.7505903,\n",
       "        1.3582473],\n",
       "       [6.5186   , 6.928161 , 4.544454 , 8.074212 , 5.6381497, 5.2747464,\n",
       "        6.6815963, 6.314526 , 4.6499653, 3.4512608, 3.813115 , 2.8217368,\n",
       "        1.4309248],\n",
       "       [6.653599 , 7.106466 , 4.980348 , 7.927352 , 6.568499 , 5.2746086,\n",
       "        6.219347 , 5.915178 , 4.480625 , 3.382714 , 4.1069565, 2.831832 ,\n",
       "        1.6329246]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-8c61c564-df78-4d10-b58d-c113131d79bc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8c61c564-df78-4d10-b58d-c113131d79bc' 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>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2024-06-14</div><input id='attrs-b309011c-d0e8-4ae4-96f2-8f31f1f5577f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b309011c-d0e8-4ae4-96f2-8f31f1f5577f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca12f68b-6536-414a-a079-ef79cd20c274' class='xr-var-data-in' type='checkbox'><label for='data-ca12f68b-6536-414a-a079-ef79cd20c274' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2024-06-14T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>step</span></div><div class='xr-var-dims'>(step)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>00:00:00 ... 1 days 00:00:00</div><input id='attrs-b819af5a-eed3-4953-af64-55b344cf7cfc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b819af5a-eed3-4953-af64-55b344cf7cfc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aaa3dd6d-39a9-4176-af67-e918b3fd9e62' class='xr-var-data-in' type='checkbox'><label for='data-aaa3dd6d-39a9-4176-af67-e918b3fd9e62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd></dl></div><div class='xr-var-data'><pre>array([             0,  3600000000000,  7200000000000, 10800000000000,\n",
       "       14400000000000, 18000000000000, 21600000000000, 25200000000000,\n",
       "       28800000000000, 32400000000000, 36000000000000, 39600000000000,\n",
       "       43200000000000, 46800000000000, 50400000000000, 54000000000000,\n",
       "       57600000000000, 61200000000000, 64800000000000, 68400000000000,\n",
       "       72000000000000, 75600000000000, 79200000000000, 82800000000000,\n",
       "       86400000000000], dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heightAboveGround</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.0</div><input id='attrs-171d3cca-c0bc-46fb-b140-032134da30f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-171d3cca-c0bc-46fb-b140-032134da30f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae1323de-9d1a-431a-bb14-56a245c4fd83' class='xr-var-data-in' type='checkbox'><label for='data-ae1323de-9d1a-431a-bb14-56a245c4fd83' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>height above the surface</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>height</dd></dl></div><div class='xr-var-data'><pre>array(10.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>(step)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2024-06-14 ... 2024-06-15</div><input id='attrs-0cf4893e-d9f8-455d-9001-e032d7f1738c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0cf4893e-d9f8-455d-9001-e032d7f1738c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7dbf906a-83dd-4657-a332-a9405ad8b31f' class='xr-var-data-in' type='checkbox'><label for='data-7dbf906a-83dd-4657-a332-a9405ad8b31f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2024-06-14T00:00:00.000000000&#x27;, &#x27;2024-06-14T01:00:00.000000000&#x27;,\n",
       "       &#x27;2024-06-14T02:00:00.000000000&#x27;, &#x27;2024-06-14T03:00:00.000000000&#x27;,\n",
       "       &#x27;2024-06-14T04:00:00.000000000&#x27;, &#x27;2024-06-14T05:00:00.000000000&#x27;,\n",
       "       &#x27;2024-06-14T06:00:00.000000000&#x27;, &#x27;2024-06-14T07:00:00.000000000&#x27;,\n",
       "       &#x27;2024-06-14T08:00:00.000000000&#x27;, &#x27;2024-06-14T09:00:00.000000000&#x27;,\n",
       "       &#x27;2024-06-14T10:00:00.000000000&#x27;, &#x27;2024-06-14T11:00:00.000000000&#x27;,\n",
       "       &#x27;2024-06-14T12:00:00.000000000&#x27;, &#x27;2024-06-14T13:00:00.000000000&#x27;,\n",
       "       &#x27;2024-06-14T14:00:00.000000000&#x27;, &#x27;2024-06-14T15:00:00.000000000&#x27;,\n",
       "       &#x27;2024-06-14T16:00:00.000000000&#x27;, &#x27;2024-06-14T17:00:00.000000000&#x27;,\n",
       "       &#x27;2024-06-14T18:00:00.000000000&#x27;, &#x27;2024-06-14T19:00:00.000000000&#x27;,\n",
       "       &#x27;2024-06-14T20:00:00.000000000&#x27;, &#x27;2024-06-14T21:00:00.000000000&#x27;,\n",
       "       &#x27;2024-06-14T22:00:00.000000000&#x27;, &#x27;2024-06-14T23:00:00.000000000&#x27;,\n",
       "       &#x27;2024-06-15T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>region</span></div><div class='xr-var-dims'>(region)</div><div class='xr-var-dtype'>&lt;U26</div><div class='xr-var-preview xr-preview'>&#x27;Île-de-France&#x27; ... &#x27;Corse&#x27;</div><input id='attrs-8b584cf9-0ec7-4ac6-b0e8-bc2fa82b0e10' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8b584cf9-0ec7-4ac6-b0e8-bc2fa82b0e10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c943d035-682d-4c14-8dc6-967c645ac03b' class='xr-var-data-in' type='checkbox'><label for='data-c943d035-682d-4c14-8dc6-967c645ac03b' title='Show/Hide data 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;Île-de-France&#x27;, &#x27;Centre-Val de Loire&#x27;, &#x27;Bourgogne-Franche-Comté&#x27;,\n",
       "       &#x27;Normandie&#x27;, &#x27;Hauts-de-France&#x27;, &#x27;Grand Est&#x27;, &#x27;Pays de la Loire&#x27;,\n",
       "       &#x27;Bretagne&#x27;, &#x27;Nouvelle-Aquitaine&#x27;, &#x27;Occitanie&#x27;, &#x27;Auvergne-Rhône-Alpes&#x27;,\n",
       "       &quot;Provence-Alpes-Côte d&#x27;Azur&quot;, &#x27;Corse&#x27;], dtype=&#x27;&lt;U26&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-334e0715-4c81-4479-8a4b-c3ec5706c95c' class='xr-section-summary-in' type='checkbox'  ><label for='section-334e0715-4c81-4479-8a4b-c3ec5706c95c' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>step</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d5983dbd-a632-4652-a950-8f489aa8bc52' class='xr-index-data-in' type='checkbox'/><label for='index-d5983dbd-a632-4652-a950-8f489aa8bc52' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(TimedeltaIndex([&#x27;0 days 00:00:00&#x27;, &#x27;0 days 01:00:00&#x27;, &#x27;0 days 02:00:00&#x27;,\n",
       "                &#x27;0 days 03:00:00&#x27;, &#x27;0 days 04:00:00&#x27;, &#x27;0 days 05:00:00&#x27;,\n",
       "                &#x27;0 days 06:00:00&#x27;, &#x27;0 days 07:00:00&#x27;, &#x27;0 days 08:00:00&#x27;,\n",
       "                &#x27;0 days 09:00:00&#x27;, &#x27;0 days 10:00:00&#x27;, &#x27;0 days 11:00:00&#x27;,\n",
       "                &#x27;0 days 12:00:00&#x27;, &#x27;0 days 13:00:00&#x27;, &#x27;0 days 14:00:00&#x27;,\n",
       "                &#x27;0 days 15:00:00&#x27;, &#x27;0 days 16:00:00&#x27;, &#x27;0 days 17:00:00&#x27;,\n",
       "                &#x27;0 days 18:00:00&#x27;, &#x27;0 days 19:00:00&#x27;, &#x27;0 days 20:00:00&#x27;,\n",
       "                &#x27;0 days 21:00:00&#x27;, &#x27;0 days 22:00:00&#x27;, &#x27;0 days 23:00:00&#x27;,\n",
       "                &#x27;1 days 00:00:00&#x27;],\n",
       "               dtype=&#x27;timedelta64[ns]&#x27;, name=&#x27;step&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>region</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c9092324-8865-4d1f-a78a-06517b0db863' class='xr-index-data-in' type='checkbox'/><label for='index-c9092324-8865-4d1f-a78a-06517b0db863' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;Île-de-France&#x27;, &#x27;Centre-Val de Loire&#x27;, &#x27;Bourgogne-Franche-Comté&#x27;,\n",
       "       &#x27;Normandie&#x27;, &#x27;Hauts-de-France&#x27;, &#x27;Grand Est&#x27;, &#x27;Pays de la Loire&#x27;,\n",
       "       &#x27;Bretagne&#x27;, &#x27;Nouvelle-Aquitaine&#x27;, &#x27;Occitanie&#x27;, &#x27;Auvergne-Rhône-Alpes&#x27;,\n",
       "       &#x27;Provence-Alpes-Côte d&#x27;Azur&#x27;, &#x27;Corse&#x27;],\n",
       "      dtype=&#x27;object&#x27;, name=&#x27;region&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-721c9f4d-247f-4584-9cdd-852408c5a4b1' class='xr-section-summary-in' type='checkbox'  ><label for='section-721c9f4d-247f-4584-9cdd-852408c5a4b1' class='xr-section-summary' >Attributes: <span>(29)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>207</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>386061</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>heightAboveGround</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>instant</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>741</dd><dt><span>GRIB_Ny :</span></dt><dd>521</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>si10</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</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>72.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>20.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>328.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>42.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>10 metre wind speed</dd><dt><span>GRIB_shortName :</span></dt><dd>10si</dd><dt><span>GRIB_units :</span></dt><dd>m s**-1</dd><dt><span>long_name :</span></dt><dd>10 metre wind speed</dd><dt><span>units :</span></dt><dd>m s**-1</dd><dt><span>standard_name :</span></dt><dd>unknown</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'si10' (step: 25, region: 13)> Size: 1kB\n",
       "array([[3.633834 , 4.726924 , 2.890073 , 6.462578 , 4.6430645, 2.5707262,\n",
       "        5.893275 , 4.5465994, 3.987221 , 1.9507447, 3.1654837, 1.6676582,\n",
       "        2.0362241],\n",
       "       [3.2270477, 4.5367227, 3.1619112, 5.9841156, 4.9005775, 2.5648384,\n",
       "        5.5866203, 4.4071183, 4.0192533, 1.9807669, 3.222778 , 1.7768989,\n",
       "        2.3054676],\n",
       "       [3.563212 , 4.9562073, 3.6203182, 5.6698127, 5.4124393, 2.6153326,\n",
       "        5.2358146, 4.3605576, 4.083691 , 1.9310851, 3.28721  , 1.727055 ,\n",
       "        2.2345347],\n",
       "       [4.003104 , 5.397727 , 4.08255  , 5.3970237, 5.878717 , 2.577101 ,\n",
       "        4.7475724, 4.2789207, 4.08367  , 1.8213174, 3.2024512, 1.7382587,\n",
       "        2.168975 ],\n",
       "       [4.489919 , 5.513933 , 4.3274903, 5.1862683, 5.875749 , 2.9034426,\n",
       "        4.276406 , 4.189905 , 4.0086737, 1.8521403, 3.1398833, 1.7972649,\n",
       "        2.0536613],\n",
       "       [4.7292566, 5.4604716, 4.472719 , 5.031581 , 5.7862563, 3.5444107,\n",
       "        3.7230563, 4.0997047, 3.7875435, 1.8912587, 3.2018595, 1.7687811,\n",
       "        1.945979 ],\n",
       "       [4.794839 , 5.1926055, 4.6337023, 4.969603 , 5.718553 , 4.10932  ,\n",
       "        3.7716787, 4.2422333, 3.6012459, 1.8309088, 3.3185728, 1.5955588,\n",
       "...\n",
       "        7.831558 , 8.190574 , 4.9081326, 4.0079556, 3.741763 , 2.7064288,\n",
       "        1.9084607],\n",
       "       [6.0472727, 6.5705533, 4.2902894, 5.991585 , 4.7212768, 4.5449133,\n",
       "        7.984231 , 8.034786 , 4.8415146, 3.89688  , 3.526491 , 2.6235993,\n",
       "        1.3268776],\n",
       "       [5.4628553, 6.6761065, 4.471928 , 6.7887735, 4.6536603, 4.8045125,\n",
       "        7.8817663, 7.6242557, 4.7331285, 3.5951288, 3.3250184, 2.6223977,\n",
       "        1.1473461],\n",
       "       [5.478565 , 6.6750846, 4.699337 , 7.140038 , 4.5736847, 5.102801 ,\n",
       "        7.726341 , 6.9882126, 4.671682 , 3.4135349, 3.2307334, 2.6370065,\n",
       "        1.2340739],\n",
       "       [6.2646194, 6.649729 , 4.681647 , 7.6925907, 4.961998 , 5.2455564,\n",
       "        7.3468404, 6.5835176, 4.766712 , 3.3322113, 3.4290023, 2.7505903,\n",
       "        1.3582473],\n",
       "       [6.5186   , 6.928161 , 4.544454 , 8.074212 , 5.6381497, 5.2747464,\n",
       "        6.6815963, 6.314526 , 4.6499653, 3.4512608, 3.813115 , 2.8217368,\n",
       "        1.4309248],\n",
       "       [6.653599 , 7.106466 , 4.980348 , 7.927352 , 6.568499 , 5.2746086,\n",
       "        6.219347 , 5.915178 , 4.480625 , 3.382714 , 4.1069565, 2.831832 ,\n",
       "        1.6329246]], dtype=float32)\n",
       "Coordinates:\n",
       "    time               datetime64[ns] 8B 2024-06-14\n",
       "  * step               (step) timedelta64[ns] 200B 00:00:00 ... 1 days 00:00:00\n",
       "    heightAboveGround  float64 8B 10.0\n",
       "    valid_time         (step) datetime64[ns] 200B 2024-06-14 ... 2024-06-15\n",
       "  * region             (region) <U26 1kB 'Île-de-France' ... 'Corse'\n",
       "Attributes: (12/29)\n",
       "    GRIB_paramId:                             207\n",
       "    GRIB_dataType:                            fc\n",
       "    GRIB_numberOfPoints:                      386061\n",
       "    GRIB_typeOfLevel:                         heightAboveGround\n",
       "    GRIB_stepUnits:                           1\n",
       "    GRIB_stepType:                            instant\n",
       "    ...                                       ...\n",
       "    GRIB_name:                                10 metre wind speed\n",
       "    GRIB_shortName:                           10si\n",
       "    GRIB_units:                               m s**-1\n",
       "    long_name:                                10 metre wind speed\n",
       "    units:                                    m s**-1\n",
       "    standard_name:                            unknown"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "da_wind_france = da_wind.sel(\n",
    "    longitude=slice(min_lon, max_lon), latitude=slice(max_lat, min_lat)\n",
    ")\n",
    "da_wind_region = da_wind_france.groupby(masks).mean([\"latitude\", \"longitude\"])\n",
    "# relabel the regions groups\n",
    "da_wind_region[\"group\"] = regions_names\n",
    "# change the name of the groups\n",
    "da_wind_region = da_wind_region.rename(group=\"region\")\n",
    "da_wind_region"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Wind speed at 10m on 2024-06-14'}, xlabel='valid_time'>"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_wind_regions = da_wind_region.to_dataframe()\n",
    "df_wind_regions = df_wind_regions.set_index(\"valid_time\", append=True)\n",
    "# remove the step level\n",
    "df_wind_regions = df_wind_regions.droplevel(\"step\")\n",
    "# remove the time level\n",
    "df_wind = df_wind_regions[\"si10\"].unstack(\"region\")\n",
    "df_wind.plot(title=f\"Wind speed at 10m on {time.date()}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Same for the sun"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;ssrd&#x27; (step: 24, region: 13)&gt; Size: 1kB\n",
       "array([[4.81964017e-11, 4.81964017e-11, 4.81964017e-11, 4.81964017e-11,\n",
       "        4.81963983e-11, 4.81964017e-11, 4.81964017e-11, 4.81964017e-11,\n",
       "        4.81964017e-11, 4.81964017e-11, 4.81964017e-11, 4.81964017e-11,\n",
       "        4.81964017e-11],\n",
       "       [9.63928035e-11, 9.63928035e-11, 9.63928035e-11, 9.63928035e-11,\n",
       "        9.63927965e-11, 9.63928035e-11, 9.63928035e-11, 9.63928035e-11,\n",
       "        9.63928035e-11, 9.63928035e-11, 9.63928035e-11, 9.63928035e-11,\n",
       "        9.63928035e-11],\n",
       "       [1.44589216e-10, 1.44589216e-10, 1.44589216e-10, 1.44589216e-10,\n",
       "        1.44589216e-10, 1.44589216e-10, 1.44589216e-10, 1.44589216e-10,\n",
       "        1.44589202e-10, 1.44589216e-10, 1.44589216e-10, 1.44589216e-10,\n",
       "        1.44589216e-10],\n",
       "       [2.97205475e+02, 1.80127926e+01, 9.15356628e+02, 3.76368561e+01,\n",
       "        1.25227722e+03, 2.87917822e+03, 1.92882751e-10, 1.92882765e-10,\n",
       "        1.92882751e-10, 1.92882751e-10, 3.54682861e+02, 3.55898010e+02,\n",
       "        1.60612769e+03],\n",
       "       [1.89948496e+04, 1.37849727e+04, 3.67006445e+04, 3.12361621e+04,\n",
       "        3.71646719e+04, 5.94732539e+04, 2.99723496e+04, 2.79847812e+04,\n",
       "        1.06043076e+04, 3.34486367e+04, 4.66420820e+04, 1.09222797e+05,\n",
       "        1.77529188e+05],\n",
       "...\n",
       "       [1.65587530e+07, 1.33618860e+07, 9.86733200e+06, 1.46184300e+07,\n",
       "        1.37320470e+07, 9.72893100e+06, 1.79774720e+07, 1.70122940e+07,\n",
       "        1.09404450e+07, 1.80745660e+07, 1.50217520e+07, 1.62290090e+07,\n",
       "        2.73906760e+07],\n",
       "       [1.65587530e+07, 1.33618860e+07, 9.86733200e+06, 1.46184690e+07,\n",
       "        1.37320470e+07, 9.72893100e+06, 1.79774720e+07, 1.70136420e+07,\n",
       "        1.09404450e+07, 1.80745660e+07, 1.50217520e+07, 1.62290090e+07,\n",
       "        2.73906760e+07],\n",
       "       [1.65587180e+07, 1.33618780e+07, 9.86734300e+06, 1.46184780e+07,\n",
       "        1.37320490e+07, 9.72891400e+06, 1.79774640e+07, 1.70136380e+07,\n",
       "        1.09404370e+07, 1.80745860e+07, 1.50217340e+07, 1.62290220e+07,\n",
       "        2.73906760e+07],\n",
       "       [1.65587180e+07, 1.33618780e+07, 9.86734300e+06, 1.46184780e+07,\n",
       "        1.37320490e+07, 9.72891400e+06, 1.79774640e+07, 1.70136380e+07,\n",
       "        1.09404370e+07, 1.80745860e+07, 1.50217340e+07, 1.62290220e+07,\n",
       "        2.73906760e+07],\n",
       "       [1.65587180e+07, 1.33618780e+07, 9.86734300e+06, 1.46184780e+07,\n",
       "        1.37320490e+07, 9.72891400e+06, 1.79774640e+07, 1.70136380e+07,\n",
       "        1.09404370e+07, 1.80745860e+07, 1.50217340e+07, 1.62290220e+07,\n",
       "        2.73906760e+07]], dtype=float32)\n",
       "Coordinates:\n",
       "    time        datetime64[ns] 8B 2024-06-14\n",
       "  * step        (step) timedelta64[ns] 192B 01:00:00 ... 1 days 00:00:00\n",
       "    surface     float64 8B 0.0\n",
       "    valid_time  (step) datetime64[ns] 192B 2024-06-14T01:00:00 ... 2024-06-15\n",
       "  * region      (region) &lt;U26 1kB &#x27;Île-de-France&#x27; ... &#x27;Corse&#x27;\n",
       "Attributes: (12/29)\n",
       "    GRIB_paramId:                             169\n",
       "    GRIB_dataType:                            fc\n",
       "    GRIB_numberOfPoints:                      386061\n",
       "    GRIB_typeOfLevel:                         surface\n",
       "    GRIB_stepUnits:                           1\n",
       "    GRIB_stepType:                            accum\n",
       "    ...                                       ...\n",
       "    GRIB_name:                                Surface short-wave (solar) radi...\n",
       "    GRIB_shortName:                           ssrd\n",
       "    GRIB_units:                               J m**-2\n",
       "    long_name:                                Surface short-wave (solar) radi...\n",
       "    units:                                    J m**-2\n",
       "    standard_name:                            surface_downwelling_shortwave_f...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ssrd'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>step</span>: 24</li><li><span class='xr-has-index'>region</span>: 13</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-dce7fa0d-2156-4d08-a5ac-e8c774f3de50' class='xr-array-in' type='checkbox' checked><label for='section-dce7fa0d-2156-4d08-a5ac-e8c774f3de50' 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>4.82e-11 4.82e-11 4.82e-11 4.82e-11 ... 1.502e+07 1.623e+07 2.739e+07</span></div><div class='xr-array-data'><pre>array([[4.81964017e-11, 4.81964017e-11, 4.81964017e-11, 4.81964017e-11,\n",
       "        4.81963983e-11, 4.81964017e-11, 4.81964017e-11, 4.81964017e-11,\n",
       "        4.81964017e-11, 4.81964017e-11, 4.81964017e-11, 4.81964017e-11,\n",
       "        4.81964017e-11],\n",
       "       [9.63928035e-11, 9.63928035e-11, 9.63928035e-11, 9.63928035e-11,\n",
       "        9.63927965e-11, 9.63928035e-11, 9.63928035e-11, 9.63928035e-11,\n",
       "        9.63928035e-11, 9.63928035e-11, 9.63928035e-11, 9.63928035e-11,\n",
       "        9.63928035e-11],\n",
       "       [1.44589216e-10, 1.44589216e-10, 1.44589216e-10, 1.44589216e-10,\n",
       "        1.44589216e-10, 1.44589216e-10, 1.44589216e-10, 1.44589216e-10,\n",
       "        1.44589202e-10, 1.44589216e-10, 1.44589216e-10, 1.44589216e-10,\n",
       "        1.44589216e-10],\n",
       "       [2.97205475e+02, 1.80127926e+01, 9.15356628e+02, 3.76368561e+01,\n",
       "        1.25227722e+03, 2.87917822e+03, 1.92882751e-10, 1.92882765e-10,\n",
       "        1.92882751e-10, 1.92882751e-10, 3.54682861e+02, 3.55898010e+02,\n",
       "        1.60612769e+03],\n",
       "       [1.89948496e+04, 1.37849727e+04, 3.67006445e+04, 3.12361621e+04,\n",
       "        3.71646719e+04, 5.94732539e+04, 2.99723496e+04, 2.79847812e+04,\n",
       "        1.06043076e+04, 3.34486367e+04, 4.66420820e+04, 1.09222797e+05,\n",
       "        1.77529188e+05],\n",
       "...\n",
       "       [1.65587530e+07, 1.33618860e+07, 9.86733200e+06, 1.46184300e+07,\n",
       "        1.37320470e+07, 9.72893100e+06, 1.79774720e+07, 1.70122940e+07,\n",
       "        1.09404450e+07, 1.80745660e+07, 1.50217520e+07, 1.62290090e+07,\n",
       "        2.73906760e+07],\n",
       "       [1.65587530e+07, 1.33618860e+07, 9.86733200e+06, 1.46184690e+07,\n",
       "        1.37320470e+07, 9.72893100e+06, 1.79774720e+07, 1.70136420e+07,\n",
       "        1.09404450e+07, 1.80745660e+07, 1.50217520e+07, 1.62290090e+07,\n",
       "        2.73906760e+07],\n",
       "       [1.65587180e+07, 1.33618780e+07, 9.86734300e+06, 1.46184780e+07,\n",
       "        1.37320490e+07, 9.72891400e+06, 1.79774640e+07, 1.70136380e+07,\n",
       "        1.09404370e+07, 1.80745860e+07, 1.50217340e+07, 1.62290220e+07,\n",
       "        2.73906760e+07],\n",
       "       [1.65587180e+07, 1.33618780e+07, 9.86734300e+06, 1.46184780e+07,\n",
       "        1.37320490e+07, 9.72891400e+06, 1.79774640e+07, 1.70136380e+07,\n",
       "        1.09404370e+07, 1.80745860e+07, 1.50217340e+07, 1.62290220e+07,\n",
       "        2.73906760e+07],\n",
       "       [1.65587180e+07, 1.33618780e+07, 9.86734300e+06, 1.46184780e+07,\n",
       "        1.37320490e+07, 9.72891400e+06, 1.79774640e+07, 1.70136380e+07,\n",
       "        1.09404370e+07, 1.80745860e+07, 1.50217340e+07, 1.62290220e+07,\n",
       "        2.73906760e+07]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-21c666ea-2a0f-48b7-9b6e-41c4a234c233' class='xr-section-summary-in' type='checkbox'  checked><label for='section-21c666ea-2a0f-48b7-9b6e-41c4a234c233' 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>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2024-06-14</div><input id='attrs-05f7f879-09db-4ede-8b82-176292cbcae1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05f7f879-09db-4ede-8b82-176292cbcae1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5ee033d-a8ba-40dc-897d-4407255a64b2' class='xr-var-data-in' type='checkbox'><label for='data-d5ee033d-a8ba-40dc-897d-4407255a64b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>initial time of forecast</dd><dt><span>standard_name :</span></dt><dd>forecast_reference_time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2024-06-14T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>step</span></div><div class='xr-var-dims'>(step)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>01:00:00 ... 1 days 00:00:00</div><input id='attrs-216f8260-5c73-4937-a635-16f3bdfad9b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-216f8260-5c73-4937-a635-16f3bdfad9b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4f47141-65d9-483b-9356-ab46874be719' class='xr-var-data-in' type='checkbox'><label for='data-a4f47141-65d9-483b-9356-ab46874be719' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time since forecast_reference_time</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd></dl></div><div class='xr-var-data'><pre>array([ 3600000000000,  7200000000000, 10800000000000, 14400000000000,\n",
       "       18000000000000, 21600000000000, 25200000000000, 28800000000000,\n",
       "       32400000000000, 36000000000000, 39600000000000, 43200000000000,\n",
       "       46800000000000, 50400000000000, 54000000000000, 57600000000000,\n",
       "       61200000000000, 64800000000000, 68400000000000, 72000000000000,\n",
       "       75600000000000, 79200000000000, 82800000000000, 86400000000000],\n",
       "      dtype=&#x27;timedelta64[ns]&#x27;)</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-ddaa9708-b571-46f2-9caa-b6a3cf94efd9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ddaa9708-b571-46f2-9caa-b6a3cf94efd9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8eaa817c-68fc-4f20-85c2-47ba37375eef' class='xr-var-data-in' type='checkbox'><label for='data-8eaa817c-68fc-4f20-85c2-47ba37375eef' title='Show/Hide data 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><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>(step)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2024-06-14T01:00:00 ... 2024-06-15</div><input id='attrs-4fcd0a04-7ef4-4761-98b5-f6c27064fb0e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4fcd0a04-7ef4-4761-98b5-f6c27064fb0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b03f762e-58dc-4fc3-8d57-b0e812b845ea' class='xr-var-data-in' type='checkbox'><label for='data-b03f762e-58dc-4fc3-8d57-b0e812b845ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2024-06-14T01:00:00.000000000&#x27;, &#x27;2024-06-14T02:00:00.000000000&#x27;,\n",
       "       &#x27;2024-06-14T03:00:00.000000000&#x27;, &#x27;2024-06-14T04:00:00.000000000&#x27;,\n",
       "       &#x27;2024-06-14T05:00:00.000000000&#x27;, &#x27;2024-06-14T06:00:00.000000000&#x27;,\n",
       "       &#x27;2024-06-14T07:00:00.000000000&#x27;, &#x27;2024-06-14T08:00:00.000000000&#x27;,\n",
       "       &#x27;2024-06-14T09:00:00.000000000&#x27;, &#x27;2024-06-14T10:00:00.000000000&#x27;,\n",
       "       &#x27;2024-06-14T11:00:00.000000000&#x27;, &#x27;2024-06-14T12:00:00.000000000&#x27;,\n",
       "       &#x27;2024-06-14T13:00:00.000000000&#x27;, &#x27;2024-06-14T14:00:00.000000000&#x27;,\n",
       "       &#x27;2024-06-14T15:00:00.000000000&#x27;, &#x27;2024-06-14T16:00:00.000000000&#x27;,\n",
       "       &#x27;2024-06-14T17:00:00.000000000&#x27;, &#x27;2024-06-14T18:00:00.000000000&#x27;,\n",
       "       &#x27;2024-06-14T19:00:00.000000000&#x27;, &#x27;2024-06-14T20:00:00.000000000&#x27;,\n",
       "       &#x27;2024-06-14T21:00:00.000000000&#x27;, &#x27;2024-06-14T22:00:00.000000000&#x27;,\n",
       "       &#x27;2024-06-14T23:00:00.000000000&#x27;, &#x27;2024-06-15T00:00:00.000000000&#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'>region</span></div><div class='xr-var-dims'>(region)</div><div class='xr-var-dtype'>&lt;U26</div><div class='xr-var-preview xr-preview'>&#x27;Île-de-France&#x27; ... &#x27;Corse&#x27;</div><input id='attrs-acb09b7d-0d64-49b1-826c-4e9ba931d8fb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-acb09b7d-0d64-49b1-826c-4e9ba931d8fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e92ab48e-f38e-44da-b0bb-89e2bf711f74' class='xr-var-data-in' type='checkbox'><label for='data-e92ab48e-f38e-44da-b0bb-89e2bf711f74' title='Show/Hide data 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;Île-de-France&#x27;, &#x27;Centre-Val de Loire&#x27;, &#x27;Bourgogne-Franche-Comté&#x27;,\n",
       "       &#x27;Normandie&#x27;, &#x27;Hauts-de-France&#x27;, &#x27;Grand Est&#x27;, &#x27;Pays de la Loire&#x27;,\n",
       "       &#x27;Bretagne&#x27;, &#x27;Nouvelle-Aquitaine&#x27;, &#x27;Occitanie&#x27;, &#x27;Auvergne-Rhône-Alpes&#x27;,\n",
       "       &quot;Provence-Alpes-Côte d&#x27;Azur&quot;, &#x27;Corse&#x27;], dtype=&#x27;&lt;U26&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-96691c65-96e3-4188-9d1d-b40bbdadfc21' class='xr-section-summary-in' type='checkbox'  ><label for='section-96691c65-96e3-4188-9d1d-b40bbdadfc21' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>step</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-10c31ebc-4319-4c0e-bc1e-0c0e9764883d' class='xr-index-data-in' type='checkbox'/><label for='index-10c31ebc-4319-4c0e-bc1e-0c0e9764883d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(TimedeltaIndex([&#x27;0 days 01:00:00&#x27;, &#x27;0 days 02:00:00&#x27;, &#x27;0 days 03:00:00&#x27;,\n",
       "                &#x27;0 days 04:00:00&#x27;, &#x27;0 days 05:00:00&#x27;, &#x27;0 days 06:00:00&#x27;,\n",
       "                &#x27;0 days 07:00:00&#x27;, &#x27;0 days 08:00:00&#x27;, &#x27;0 days 09:00:00&#x27;,\n",
       "                &#x27;0 days 10:00:00&#x27;, &#x27;0 days 11:00:00&#x27;, &#x27;0 days 12:00:00&#x27;,\n",
       "                &#x27;0 days 13:00:00&#x27;, &#x27;0 days 14:00:00&#x27;, &#x27;0 days 15:00:00&#x27;,\n",
       "                &#x27;0 days 16:00:00&#x27;, &#x27;0 days 17:00:00&#x27;, &#x27;0 days 18:00:00&#x27;,\n",
       "                &#x27;0 days 19:00:00&#x27;, &#x27;0 days 20:00:00&#x27;, &#x27;0 days 21:00:00&#x27;,\n",
       "                &#x27;0 days 22:00:00&#x27;, &#x27;0 days 23:00:00&#x27;, &#x27;1 days 00:00:00&#x27;],\n",
       "               dtype=&#x27;timedelta64[ns]&#x27;, name=&#x27;step&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>region</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c7f26426-dfeb-4598-9a7c-06127d666de0' class='xr-index-data-in' type='checkbox'/><label for='index-c7f26426-dfeb-4598-9a7c-06127d666de0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;Île-de-France&#x27;, &#x27;Centre-Val de Loire&#x27;, &#x27;Bourgogne-Franche-Comté&#x27;,\n",
       "       &#x27;Normandie&#x27;, &#x27;Hauts-de-France&#x27;, &#x27;Grand Est&#x27;, &#x27;Pays de la Loire&#x27;,\n",
       "       &#x27;Bretagne&#x27;, &#x27;Nouvelle-Aquitaine&#x27;, &#x27;Occitanie&#x27;, &#x27;Auvergne-Rhône-Alpes&#x27;,\n",
       "       &#x27;Provence-Alpes-Côte d&#x27;Azur&#x27;, &#x27;Corse&#x27;],\n",
       "      dtype=&#x27;object&#x27;, name=&#x27;region&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-738bc26c-47f4-4212-b67f-19b3faa38da1' class='xr-section-summary-in' type='checkbox'  ><label for='section-738bc26c-47f4-4212-b67f-19b3faa38da1' class='xr-section-summary' >Attributes: <span>(29)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>GRIB_paramId :</span></dt><dd>169</dd><dt><span>GRIB_dataType :</span></dt><dd>fc</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>386061</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>741</dd><dt><span>GRIB_Ny :</span></dt><dd>521</dd><dt><span>GRIB_cfName :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>GRIB_cfVarName :</span></dt><dd>ssrd</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude</dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.1</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.1</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>72.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>20.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>328.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>42.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>3.4028234663852886e+38</dd><dt><span>GRIB_name :</span></dt><dd>Surface short-wave (solar) radiation downwards</dd><dt><span>GRIB_shortName :</span></dt><dd>ssrd</dd><dt><span>GRIB_units :</span></dt><dd>J m**-2</dd><dt><span>long_name :</span></dt><dd>Surface short-wave (solar) radiation downwards</dd><dt><span>units :</span></dt><dd>J m**-2</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'ssrd' (step: 24, region: 13)> Size: 1kB\n",
       "array([[4.81964017e-11, 4.81964017e-11, 4.81964017e-11, 4.81964017e-11,\n",
       "        4.81963983e-11, 4.81964017e-11, 4.81964017e-11, 4.81964017e-11,\n",
       "        4.81964017e-11, 4.81964017e-11, 4.81964017e-11, 4.81964017e-11,\n",
       "        4.81964017e-11],\n",
       "       [9.63928035e-11, 9.63928035e-11, 9.63928035e-11, 9.63928035e-11,\n",
       "        9.63927965e-11, 9.63928035e-11, 9.63928035e-11, 9.63928035e-11,\n",
       "        9.63928035e-11, 9.63928035e-11, 9.63928035e-11, 9.63928035e-11,\n",
       "        9.63928035e-11],\n",
       "       [1.44589216e-10, 1.44589216e-10, 1.44589216e-10, 1.44589216e-10,\n",
       "        1.44589216e-10, 1.44589216e-10, 1.44589216e-10, 1.44589216e-10,\n",
       "        1.44589202e-10, 1.44589216e-10, 1.44589216e-10, 1.44589216e-10,\n",
       "        1.44589216e-10],\n",
       "       [2.97205475e+02, 1.80127926e+01, 9.15356628e+02, 3.76368561e+01,\n",
       "        1.25227722e+03, 2.87917822e+03, 1.92882751e-10, 1.92882765e-10,\n",
       "        1.92882751e-10, 1.92882751e-10, 3.54682861e+02, 3.55898010e+02,\n",
       "        1.60612769e+03],\n",
       "       [1.89948496e+04, 1.37849727e+04, 3.67006445e+04, 3.12361621e+04,\n",
       "        3.71646719e+04, 5.94732539e+04, 2.99723496e+04, 2.79847812e+04,\n",
       "        1.06043076e+04, 3.34486367e+04, 4.66420820e+04, 1.09222797e+05,\n",
       "        1.77529188e+05],\n",
       "...\n",
       "       [1.65587530e+07, 1.33618860e+07, 9.86733200e+06, 1.46184300e+07,\n",
       "        1.37320470e+07, 9.72893100e+06, 1.79774720e+07, 1.70122940e+07,\n",
       "        1.09404450e+07, 1.80745660e+07, 1.50217520e+07, 1.62290090e+07,\n",
       "        2.73906760e+07],\n",
       "       [1.65587530e+07, 1.33618860e+07, 9.86733200e+06, 1.46184690e+07,\n",
       "        1.37320470e+07, 9.72893100e+06, 1.79774720e+07, 1.70136420e+07,\n",
       "        1.09404450e+07, 1.80745660e+07, 1.50217520e+07, 1.62290090e+07,\n",
       "        2.73906760e+07],\n",
       "       [1.65587180e+07, 1.33618780e+07, 9.86734300e+06, 1.46184780e+07,\n",
       "        1.37320490e+07, 9.72891400e+06, 1.79774640e+07, 1.70136380e+07,\n",
       "        1.09404370e+07, 1.80745860e+07, 1.50217340e+07, 1.62290220e+07,\n",
       "        2.73906760e+07],\n",
       "       [1.65587180e+07, 1.33618780e+07, 9.86734300e+06, 1.46184780e+07,\n",
       "        1.37320490e+07, 9.72891400e+06, 1.79774640e+07, 1.70136380e+07,\n",
       "        1.09404370e+07, 1.80745860e+07, 1.50217340e+07, 1.62290220e+07,\n",
       "        2.73906760e+07],\n",
       "       [1.65587180e+07, 1.33618780e+07, 9.86734300e+06, 1.46184780e+07,\n",
       "        1.37320490e+07, 9.72891400e+06, 1.79774640e+07, 1.70136380e+07,\n",
       "        1.09404370e+07, 1.80745860e+07, 1.50217340e+07, 1.62290220e+07,\n",
       "        2.73906760e+07]], dtype=float32)\n",
       "Coordinates:\n",
       "    time        datetime64[ns] 8B 2024-06-14\n",
       "  * step        (step) timedelta64[ns] 192B 01:00:00 ... 1 days 00:00:00\n",
       "    surface     float64 8B 0.0\n",
       "    valid_time  (step) datetime64[ns] 192B 2024-06-14T01:00:00 ... 2024-06-15\n",
       "  * region      (region) <U26 1kB 'Île-de-France' ... 'Corse'\n",
       "Attributes: (12/29)\n",
       "    GRIB_paramId:                             169\n",
       "    GRIB_dataType:                            fc\n",
       "    GRIB_numberOfPoints:                      386061\n",
       "    GRIB_typeOfLevel:                         surface\n",
       "    GRIB_stepUnits:                           1\n",
       "    GRIB_stepType:                            accum\n",
       "    ...                                       ...\n",
       "    GRIB_name:                                Surface short-wave (solar) radi...\n",
       "    GRIB_shortName:                           ssrd\n",
       "    GRIB_units:                               J m**-2\n",
       "    long_name:                                Surface short-wave (solar) radi...\n",
       "    units:                                    J m**-2\n",
       "    standard_name:                            surface_downwelling_shortwave_f..."
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "da_sun_france = da_sun.sel(\n",
    "    longitude=slice(min_lon, max_lon), latitude=slice(max_lat, min_lat)\n",
    ")\n",
    "da_sun_region = da_sun_france.groupby(masks).mean([\"latitude\", \"longitude\"])\n",
    "# relabel the regions groups\n",
    "da_sun_region[\"group\"] = regions_names\n",
    "# change the name of the groups\n",
    "da_sun_region = da_sun_region.rename(group=\"region\")\n",
    "da_sun_region"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Sunshine duration on 2024-06-14'}>"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_sun_regions = da_sun_region.to_dataframe()\n",
    "df_sun_regions = df_sun_regions.set_index(\"valid_time\", append=True)\n",
    "df_sun_regions = df_sun_regions.droplevel(\"step\")\n",
    "df_unstacked = df_sun_regions[\"ssrd\"].unstack(\"region\")\n",
    "\n",
    "zero_pad = df_unstacked.iloc[0].copy().to_frame().T\n",
    "zero_pad[:] = 0\n",
    "zero_pad.index = zero_pad.index - pd.Timedelta(\"1H\")\n",
    "df_unstacked = pd.concat([zero_pad, df_unstacked], axis=0)\n",
    "df_instant_flux = df_unstacked.diff().dropna()\n",
    "df_instant_flux.index -= pd.Timedelta(\"1H\")\n",
    "df_instant_flux.plot(title=f\"Sunshine duration on {time.date()}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prediction of the ENR production"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Intercept                     12518.539356\n",
       "auvergne_rhône_alpes             -0.003394\n",
       "bourgogne_franche_comté           0.007265\n",
       "bretagne                         -0.005534\n",
       "centre_val_de_loire               0.006064\n",
       "corse                            -0.000185\n",
       "grand_est                         0.003932\n",
       "hauts_de_france                  -0.004527\n",
       "normandie                         0.011918\n",
       "nouvelle_aquitaine                0.024502\n",
       "occitanie                         0.030147\n",
       "pays_de_la_loire                 -0.002904\n",
       "provence_alpes_côte_d_azur        0.010969\n",
       "île_de_france                    -0.004461\n",
       "Name: 0, dtype: float64"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sun_model = pd.read_csv(\"sun_model_2_params.csv\", index_col=0)[\"0\"]\n",
    "sun_model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Intercept                    -87065.603543\n",
       "auvergne_rhône_alpes           6864.873864\n",
       "bourgogne_franche_comté       -6060.317404\n",
       "bretagne                       7631.077211\n",
       "centre_val_de_loire           14372.517590\n",
       "corse                          -452.219525\n",
       "grand_est                     17476.839471\n",
       "hauts_de_france               17141.512065\n",
       "normandie                      1358.174748\n",
       "nouvelle_aquitaine             3480.879194\n",
       "occitanie                      3917.939519\n",
       "pays_de_la_loire              -2783.430051\n",
       "provence_alpes_côte_d_azur     -252.119737\n",
       "île_de_france                 -7465.879598\n",
       "Name: 0, dtype: float64"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wind_model = pd.read_csv(\"wind_model_2_params.csv\", index_col=0)[\"0\"]\n",
    "wind_model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Instant production'}>"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "region_names = [\n",
    "    col.replace(\" \", \"_\").replace(\"'\", \"_\").replace(\"-\", \"_\").lower()\n",
    "    for col in df_instant_flux.columns\n",
    "]\n",
    "df_instant_flux.columns = region_names\n",
    "df_instant_flux[\"Intercept\"] = 1\n",
    "df_instant_production = df_instant_flux * sun_model\n",
    "df_instant_production.sum(axis=1).plot(title=\"Instant production\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Wind production'}, xlabel='valid_time'>"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "region_names = [\n",
    "    col.replace(\" \", \"_\").replace(\"'\", \"_\").replace(\"-\", \"_\").lower()\n",
    "    for col in df_wind.columns\n",
    "]\n",
    "df_wind.columns = region_names\n",
    "df_wind[\"Intercept\"] = 1\n",
    "df_wind_production = df_wind * wind_model\n",
    "df_wind_production.sum(axis=1).plot(title=\"Wind production\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "\n",
    "Nous avons vu comment récupérer les prévisions de la météo France pour le modèle ARPEGE 0.1°.\n",
    "\n",
    "Nous avons vu comment sélectionner les régions et comment calculer les prévisions de production d'énergie renouvelable grâces aux modèles entrainés dans les notebooks précédents."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  }
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