benbovy/arome_fr_analysis.ipynb

## arome_fr_analysis.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Total precipitation forecast / Meteo-France AROME model / Belgium flooding 2021-07"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pooch\n",
    "import xarray as xr\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.io.shapereader as shpreader\n",
    "import cartopy\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from metpy.plots import ctables"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Retrieve data\n",
    "\n",
    "The data used here are from Météo-France and licensed under French Government Open Licence. See https://mf-models-on-aws.org/en/doc/ for more information.\n",
    "\n",
    "Data is downloaded only for total precipation accumulated over the whole 42-hours forecast model run for the following runs:\n",
    "\n",
    "- 2021-07-13:00\n",
    "- 2021-07-13:12\n",
    "- 2021-07-14:00\n",
    "- 2021-07-14:12"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "base_url = 'https://mf-nwp-models.s3.amazonaws.com/arome-france/v2'\n",
    "var = 'TPRATE/surface/acc_0-42h'\n",
    "\n",
    "data = []\n",
    "\n",
    "for day in ['13', '14']:\n",
    "    for hour in ['00', '12']:\n",
    "        fn = pooch.retrieve(\n",
    "            f\"{base_url}/2021-07-{day}/{hour}/{var}.grib2\",\n",
    "            known_hash=None,\n",
    "            path=\"data\",\n",
    "        )\n",
    "        \n",
    "        data.append(xr.open_dataset(fn, engine=\"cfgrib\"))\n",
    "        \n",
    "ds = xr.concat(data, dim='time')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "belgium_roi = dict(latitude=slice(52, 49), longitude=slice(2.5, 6.5))\n",
    "belgium_proj = ccrs.epsg(31370)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;tp&#x27; (time: 4, latitude: 120, longitude: 160)&gt;\n",
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       "Coordinates:\n",
       "  * time         (time) datetime64[ns] 2021-07-13 ... 2021-07-14T12:00:00\n",
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       "  * latitude     (latitude) float64 51.98 51.95 51.93 51.9 ... 49.05 49.03 49.0\n",
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       "    valid_time   (time) datetime64[ns] 2021-07-14T18:00:00 ... 2021-07-16T06:...\n",
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       "Attributes: (12/29)\n",
       "    GRIB_paramId:                             228228\n",
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       "    GRIB_stepUnits:                           1\n",
       "    GRIB_stepType:                            accum\n",
       "    ...                                       ...\n",
       "    GRIB_name:                                Total Precipitation\n",
       "    GRIB_shortName:                           tp\n",
       "    GRIB_units:                               kg m**-2\n",
       "    long_name:                                Total Precipitation\n",
       "    units:                                    kg m**-2\n",
       "    standard_name:                            unknown</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'tp'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 4</li><li><span class='xr-has-index'>latitude</span>: 120</li><li><span class='xr-has-index'>longitude</span>: 160</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-afdd71a2-02d4-47ff-add2-d0fb2702295e' class='xr-array-in' type='checkbox' checked><label for='section-afdd71a2-02d4-47ff-add2-d0fb2702295e' 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>0.6406 0.7344 0.7422 0.7148 0.707 ... 40.18 38.38 36.81 36.24 36.36</span></div><div class='xr-array-data'><pre>array([[[6.40625000e-01, 7.34375000e-01, 7.42187500e-01, ...,\n",
       "         4.93242188e+01, 5.16484375e+01, 5.22265625e+01],\n",
       "        [5.46875000e-01, 6.52343750e-01, 6.87500000e-01, ...,\n",
       "         4.66093750e+01, 4.51328125e+01, 4.46640625e+01],\n",
       "        [4.88281250e-01, 5.93750000e-01, 6.32812500e-01, ...,\n",
       "         4.12968750e+01, 4.16601562e+01, 4.31054688e+01],\n",
       "        ...,\n",
       "        [1.71406250e+01, 1.63515625e+01, 1.54843750e+01, ...,\n",
       "         3.32734375e+01, 3.52500000e+01, 3.81523438e+01],\n",
       "        [1.66445312e+01, 1.59687500e+01, 1.63203125e+01, ...,\n",
       "         3.29023438e+01, 3.57578125e+01, 3.86132812e+01],\n",
       "        [1.68281250e+01, 1.63007812e+01, 1.71093750e+01, ...,\n",
       "         3.31601562e+01, 3.66718750e+01, 3.91250000e+01]],\n",
       "\n",
       "       [[3.90625000e-03, 3.90625000e-03, 0.00000000e+00, ...,\n",
       "         2.16445312e+01, 2.30976562e+01, 2.52656250e+01],\n",
       "        [3.90625000e-03, 3.90625000e-03, 0.00000000e+00, ...,\n",
       "         2.26992188e+01, 2.36210938e+01, 2.62031250e+01],\n",
       "        [3.90625000e-03, 0.00000000e+00, 0.00000000e+00, ...,\n",
       "         2.31562500e+01, 2.42460938e+01, 2.77304688e+01],\n",
       "...\n",
       "        [2.26953125e+00, 3.13281250e+00, 3.91015625e+00, ...,\n",
       "         7.15703125e+01, 7.06328125e+01, 6.88984375e+01],\n",
       "        [2.47656250e+00, 3.27343750e+00, 3.79687500e+00, ...,\n",
       "         7.13046875e+01, 6.94296875e+01, 6.88203125e+01],\n",
       "        [2.77343750e+00, 3.54296875e+00, 3.91015625e+00, ...,\n",
       "         7.01914062e+01, 6.92031250e+01, 6.92890625e+01]],\n",
       "\n",
       "       [[0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
       "         1.40234375e+01, 1.34218750e+01, 1.23437500e+01],\n",
       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
       "         1.42148438e+01, 1.21875000e+01, 9.75390625e+00],\n",
       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
       "         1.32304688e+01, 1.01250000e+01, 8.21093750e+00],\n",
       "        ...,\n",
       "        [3.90625000e-03, 0.00000000e+00, 0.00000000e+00, ...,\n",
       "         4.06679688e+01, 3.99960938e+01, 3.95312500e+01],\n",
       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
       "         3.91015625e+01, 3.81484375e+01, 3.76835938e+01],\n",
       "        [0.00000000e+00, 0.00000000e+00, 3.90625000e-03, ...,\n",
       "         3.68085938e+01, 3.62382812e+01, 3.63632812e+01]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-dc7e2d0d-031c-46ec-b1b7-83851b8da02b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dc7e2d0d-031c-46ec-b1b7-83851b8da02b' class='xr-section-summary' >Coordinates: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-07-13 ... 2021-07-14T12:00:00</div><input id='attrs-d5346167-0fd8-4169-8ba6-091c7cc82de1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5346167-0fd8-4169-8ba6-091c7cc82de1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5294bb6f-6cc4-4953-a70d-f6916f2fe2e5' class='xr-var-data-in' type='checkbox'><label for='data-5294bb6f-6cc4-4953-a70d-f6916f2fe2e5' 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;2021-07-13T00:00:00.000000000&#x27;, &#x27;2021-07-13T12:00:00.000000000&#x27;,\n",
       "       &#x27;2021-07-14T00:00:00.000000000&#x27;, &#x27;2021-07-14T12:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>step</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>1 days 18:00:00</div><input id='attrs-fc000ae7-5b05-489e-89a9-a2505170177e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc000ae7-5b05-489e-89a9-a2505170177e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0332595-487a-4c36-8deb-a1f70a376c7b' class='xr-var-data-in' type='checkbox'><label for='data-c0332595-487a-4c36-8deb-a1f70a376c7b' 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(151200000000000, 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-c87ced9e-f44c-4792-ab94-6d8d4ef35e09' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c87ced9e-f44c-4792-ab94-6d8d4ef35e09' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83bd0aa9-8080-4961-8006-f97ad2968093' class='xr-var-data-in' type='checkbox'><label for='data-83bd0aa9-8080-4961-8006-f97ad2968093' 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 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'>51.98 51.95 51.93 ... 49.03 49.0</div><input id='attrs-0afa95c4-ba75-4fd3-8c26-f48fb9a8817b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0afa95c4-ba75-4fd3-8c26-f48fb9a8817b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa42d2ed-51a4-44ac-b5b5-af7caee077a7' class='xr-var-data-in' type='checkbox'><label for='data-aa42d2ed-51a4-44ac-b5b5-af7caee077a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd></dl></div><div class='xr-var-data'><pre>array([51.975, 51.95 , 51.925, 51.9  , 51.875, 51.85 , 51.825, 51.8  , 51.775,\n",
       "       51.75 , 51.725, 51.7  , 51.675, 51.65 , 51.625, 51.6  , 51.575, 51.55 ,\n",
       "       51.525, 51.5  , 51.475, 51.45 , 51.425, 51.4  , 51.375, 51.35 , 51.325,\n",
       "       51.3  , 51.275, 51.25 , 51.225, 51.2  , 51.175, 51.15 , 51.125, 51.1  ,\n",
       "       51.075, 51.05 , 51.025, 51.   , 50.975, 50.95 , 50.925, 50.9  , 50.875,\n",
       "       50.85 , 50.825, 50.8  , 50.775, 50.75 , 50.725, 50.7  , 50.675, 50.65 ,\n",
       "       50.625, 50.6  , 50.575, 50.55 , 50.525, 50.5  , 50.475, 50.45 , 50.425,\n",
       "       50.4  , 50.375, 50.35 , 50.325, 50.3  , 50.275, 50.25 , 50.225, 50.2  ,\n",
       "       50.175, 50.15 , 50.125, 50.1  , 50.075, 50.05 , 50.025, 50.   , 49.975,\n",
       "       49.95 , 49.925, 49.9  , 49.875, 49.85 , 49.825, 49.8  , 49.775, 49.75 ,\n",
       "       49.725, 49.7  , 49.675, 49.65 , 49.625, 49.6  , 49.575, 49.55 , 49.525,\n",
       "       49.5  , 49.475, 49.45 , 49.425, 49.4  , 49.375, 49.35 , 49.325, 49.3  ,\n",
       "       49.275, 49.25 , 49.225, 49.2  , 49.175, 49.15 , 49.125, 49.1  , 49.075,\n",
       "       49.05 , 49.025, 49.   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.5 2.525 2.55 ... 6.425 6.45 6.475</div><input id='attrs-e3840781-2467-47da-82bc-df38da8744db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3840781-2467-47da-82bc-df38da8744db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81d79e76-d045-476b-9618-dc81d9367867' class='xr-var-data-in' type='checkbox'><label for='data-81d79e76-d045-476b-9618-dc81d9367867' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([2.5  , 2.525, 2.55 , 2.575, 2.6  , 2.625, 2.65 , 2.675, 2.7  , 2.725,\n",
       "       2.75 , 2.775, 2.8  , 2.825, 2.85 , 2.875, 2.9  , 2.925, 2.95 , 2.975,\n",
       "       3.   , 3.025, 3.05 , 3.075, 3.1  , 3.125, 3.15 , 3.175, 3.2  , 3.225,\n",
       "       3.25 , 3.275, 3.3  , 3.325, 3.35 , 3.375, 3.4  , 3.425, 3.45 , 3.475,\n",
       "       3.5  , 3.525, 3.55 , 3.575, 3.6  , 3.625, 3.65 , 3.675, 3.7  , 3.725,\n",
       "       3.75 , 3.775, 3.8  , 3.825, 3.85 , 3.875, 3.9  , 3.925, 3.95 , 3.975,\n",
       "       4.   , 4.025, 4.05 , 4.075, 4.1  , 4.125, 4.15 , 4.175, 4.2  , 4.225,\n",
       "       4.25 , 4.275, 4.3  , 4.325, 4.35 , 4.375, 4.4  , 4.425, 4.45 , 4.475,\n",
       "       4.5  , 4.525, 4.55 , 4.575, 4.6  , 4.625, 4.65 , 4.675, 4.7  , 4.725,\n",
       "       4.75 , 4.775, 4.8  , 4.825, 4.85 , 4.875, 4.9  , 4.925, 4.95 , 4.975,\n",
       "       5.   , 5.025, 5.05 , 5.075, 5.1  , 5.125, 5.15 , 5.175, 5.2  , 5.225,\n",
       "       5.25 , 5.275, 5.3  , 5.325, 5.35 , 5.375, 5.4  , 5.425, 5.45 , 5.475,\n",
       "       5.5  , 5.525, 5.55 , 5.575, 5.6  , 5.625, 5.65 , 5.675, 5.7  , 5.725,\n",
       "       5.75 , 5.775, 5.8  , 5.825, 5.85 , 5.875, 5.9  , 5.925, 5.95 , 5.975,\n",
       "       6.   , 6.025, 6.05 , 6.075, 6.1  , 6.125, 6.15 , 6.175, 6.2  , 6.225,\n",
       "       6.25 , 6.275, 6.3  , 6.325, 6.35 , 6.375, 6.4  , 6.425, 6.45 , 6.475])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-07-14T18:00:00 ... 2021-07-...</div><input id='attrs-514f7aba-ea55-4a75-8a4e-facfd31c2f1a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-514f7aba-ea55-4a75-8a4e-facfd31c2f1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b58e845-2697-4b65-90cb-3490adb397b2' class='xr-var-data-in' type='checkbox'><label for='data-9b58e845-2697-4b65-90cb-3490adb397b2' 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;2021-07-14T18:00:00.000000000&#x27;, &#x27;2021-07-15T06:00:00.000000000&#x27;,\n",
       "       &#x27;2021-07-15T18:00:00.000000000&#x27;, &#x27;2021-07-16T06:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-52f8d537-4cb1-4e9d-a035-8dff180e6330' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52f8d537-4cb1-4e9d-a035-8dff180e6330' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa338b67-c693-4617-8c0f-a35b5bedd6e6' class='xr-var-data-in' type='checkbox'><label for='data-aa338b67-c693-4617-8c0f-a35b5bedd6e6' 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>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-be707264-78e0-4a17-b4f9-2b339b71aa22' class='xr-section-summary-in' type='checkbox'  ><label for='section-be707264-78e0-4a17-b4f9-2b339b71aa22' 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>228228</dd><dt><span>GRIB_dataType :</span></dt><dd>missing</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>481401</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>801</dd><dt><span>GRIB_Ny :</span></dt><dd>601</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tp</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>0.025</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>0.025</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>53.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>38.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>352.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>12.0</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Total Precipitation</dd><dt><span>GRIB_shortName :</span></dt><dd>tp</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>long_name :</span></dt><dd>Total Precipitation</dd><dt><span>units :</span></dt><dd>kg m**-2</dd><dt><span>standard_name :</span></dt><dd>unknown</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'tp' (time: 4, latitude: 120, longitude: 160)>\n",
       "array([[[6.40625000e-01, 7.34375000e-01, 7.42187500e-01, ...,\n",
       "         4.93242188e+01, 5.16484375e+01, 5.22265625e+01],\n",
       "        [5.46875000e-01, 6.52343750e-01, 6.87500000e-01, ...,\n",
       "         4.66093750e+01, 4.51328125e+01, 4.46640625e+01],\n",
       "        [4.88281250e-01, 5.93750000e-01, 6.32812500e-01, ...,\n",
       "         4.12968750e+01, 4.16601562e+01, 4.31054688e+01],\n",
       "        ...,\n",
       "        [1.71406250e+01, 1.63515625e+01, 1.54843750e+01, ...,\n",
       "         3.32734375e+01, 3.52500000e+01, 3.81523438e+01],\n",
       "        [1.66445312e+01, 1.59687500e+01, 1.63203125e+01, ...,\n",
       "         3.29023438e+01, 3.57578125e+01, 3.86132812e+01],\n",
       "        [1.68281250e+01, 1.63007812e+01, 1.71093750e+01, ...,\n",
       "         3.31601562e+01, 3.66718750e+01, 3.91250000e+01]],\n",
       "\n",
       "       [[3.90625000e-03, 3.90625000e-03, 0.00000000e+00, ...,\n",
       "         2.16445312e+01, 2.30976562e+01, 2.52656250e+01],\n",
       "        [3.90625000e-03, 3.90625000e-03, 0.00000000e+00, ...,\n",
       "         2.26992188e+01, 2.36210938e+01, 2.62031250e+01],\n",
       "        [3.90625000e-03, 0.00000000e+00, 0.00000000e+00, ...,\n",
       "         2.31562500e+01, 2.42460938e+01, 2.77304688e+01],\n",
       "...\n",
       "        [2.26953125e+00, 3.13281250e+00, 3.91015625e+00, ...,\n",
       "         7.15703125e+01, 7.06328125e+01, 6.88984375e+01],\n",
       "        [2.47656250e+00, 3.27343750e+00, 3.79687500e+00, ...,\n",
       "         7.13046875e+01, 6.94296875e+01, 6.88203125e+01],\n",
       "        [2.77343750e+00, 3.54296875e+00, 3.91015625e+00, ...,\n",
       "         7.01914062e+01, 6.92031250e+01, 6.92890625e+01]],\n",
       "\n",
       "       [[0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
       "         1.40234375e+01, 1.34218750e+01, 1.23437500e+01],\n",
       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
       "         1.42148438e+01, 1.21875000e+01, 9.75390625e+00],\n",
       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
       "         1.32304688e+01, 1.01250000e+01, 8.21093750e+00],\n",
       "        ...,\n",
       "        [3.90625000e-03, 0.00000000e+00, 0.00000000e+00, ...,\n",
       "         4.06679688e+01, 3.99960938e+01, 3.95312500e+01],\n",
       "        [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n",
       "         3.91015625e+01, 3.81484375e+01, 3.76835938e+01],\n",
       "        [0.00000000e+00, 0.00000000e+00, 3.90625000e-03, ...,\n",
       "         3.68085938e+01, 3.62382812e+01, 3.63632812e+01]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * time         (time) datetime64[ns] 2021-07-13 ... 2021-07-14T12:00:00\n",
       "    step         timedelta64[ns] 1 days 18:00:00\n",
       "    surface      float64 0.0\n",
       "  * latitude     (latitude) float64 51.98 51.95 51.93 51.9 ... 49.05 49.03 49.0\n",
       "  * longitude    (longitude) float64 2.5 2.525 2.55 2.575 ... 6.425 6.45 6.475\n",
       "    valid_time   (time) datetime64[ns] 2021-07-14T18:00:00 ... 2021-07-16T06:...\n",
       "    spatial_ref  int64 0\n",
       "Attributes: (12/29)\n",
       "    GRIB_paramId:                             228228\n",
       "    GRIB_dataType:                            missing\n",
       "    GRIB_numberOfPoints:                      481401\n",
       "    GRIB_typeOfLevel:                         surface\n",
       "    GRIB_stepUnits:                           1\n",
       "    GRIB_stepType:                            accum\n",
       "    ...                                       ...\n",
       "    GRIB_name:                                Total Precipitation\n",
       "    GRIB_shortName:                           tp\n",
       "    GRIB_units:                               kg m**-2\n",
       "    long_name:                                Total Precipitation\n",
       "    units:                                    kg m**-2\n",
       "    standard_name:                            unknown"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = ds.sel(**belgium_roi)\n",
    "ds = ds.rio.write_crs(4326)\n",
    "\n",
    "total_precip = ds.tp\n",
    "\n",
    "total_precip"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Maps (Belgium)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "norm, cmap = ctables.registry.get_with_steps('precipitation', 0, 10)\n",
    "\n",
    "\n",
    "p = total_precip.plot(\n",
    "    col=\"time\",\n",
    "    col_wrap=2,\n",
    "    figsize=(10, 10),\n",
    "    transform=ccrs.PlateCarree(),\n",
    "    subplot_kws={\"projection\": belgium_proj},\n",
    "    cmap=cmap,\n",
    "    norm=norm,\n",
    ")\n",
    "\n",
    "for ax in p.axes.flat:\n",
    "    ax.set_global()\n",
    "    ax.add_feature(cartopy.feature.COASTLINE)\n",
    "    ax.add_feature(cartopy.feature.BORDERS)\n",
    "    ax.add_feature(cartopy.feature.STATES, alpha=0.5, linewidth=0.7);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Distribution of total precipitation predicted over the Liège Province\n",
    "\n",
    "The plot below shows, for each model run listed above, the distribution of total accumulated precipation values (42 hours) after masking the model grid with the Liège Province boundaries. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "shpfilename = shpreader.natural_earth(\n",
    "    resolution='10m',\n",
    "    category='cultural',\n",
    "    name='admin_1_states_provinces_lakes'\n",
    ")\n",
    "\n",
    "reader = shpreader.Reader(shpfilename)\n",
    "\n",
    "liege_province = [rec for rec in reader.records() if rec.attributes['name'] == 'Liege'][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "clipped = total_precip.rio.clip([liege_province.geometry])\n",
    "\n",
    "total_precip_df = clipped.to_dataframe().dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12, 8))\n",
    "\n",
    "sns.violinplot(\n",
    "    x=total_precip_df.index.get_level_values('time'),\n",
    "    y=total_precip_df.tp,\n",
    "    ax=ax,\n",
    ");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Software versions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# packages in environment at /Users/bbovy/miniconda3/envs/floods-202107:\n",
      "#\n",
      "# Name                    Version                   Build  Channel\n",
      "affine                    2.3.0                      py_0    conda-forge\n",
      "appdirs                   1.4.4              pyh9f0ad1d_0    conda-forge\n",
      "appnope                   0.1.2            py39h6e9494a_1    conda-forge\n",
      "attrs                     21.2.0             pyhd8ed1ab_0    conda-forge\n",
      "backcall                  0.2.0              pyh9f0ad1d_0    conda-forge\n",
      "backports                 1.0                        py_2    conda-forge\n",
      "backports.functools_lru_cache 1.6.4              pyhd8ed1ab_0    conda-forge\n",
      "boost-cpp                 1.74.0               hbdcdab7_3    conda-forge\n",
      "brotlipy                  0.7.0           py39hcbf5805_1001    conda-forge\n",
      "bzip2                     1.0.8                hc929b4f_4    conda-forge\n",
      "c-ares                    1.17.1               h0d85af4_1    conda-forge\n",
      "ca-certificates           2021.5.30            h033912b_0    conda-forge\n",
      "cairo                     1.16.0            he43a7df_1008    conda-forge\n",
      "cartopy                   0.19.0.post1     py39hada9a11_0    conda-forge\n",
      "certifi                   2021.5.30        py39h6e9494a_0    conda-forge\n",
      "cffi                      1.14.6           py39hb71fe58_0    conda-forge\n",
      "cfgrib                    0.9.9.0            pyhd8ed1ab_1    conda-forge\n",
      "cfitsio                   3.470                h4472c5d_7    conda-forge\n",
      "chardet                   4.0.0            py39h6e9494a_1    conda-forge\n",
      "charset-normalizer        2.0.0              pyhd8ed1ab_0    conda-forge\n",
      "click                     7.1.2              pyh9f0ad1d_0    conda-forge\n",
      "click-plugins             1.1.1                      py_0    conda-forge\n",
      "cligj                     0.7.2              pyhd8ed1ab_0    conda-forge\n",
      "cryptography              3.4.7            py39ha2c9959_0    conda-forge\n",
      "curl                      7.77.0               hb861fe1_0    conda-forge\n",
      "cycler                    0.10.0                     py_2    conda-forge\n",
      "debugpy                   1.4.0            py39h9fcab8e_0    conda-forge\n",
      "decorator                 5.0.9              pyhd8ed1ab_0    conda-forge\n",
      "eccodes                   2.21.0               h136bbf5_0    conda-forge\n",
      "expat                     2.4.1                he49afe7_0    conda-forge\n",
      "fontconfig                2.13.1            h10f422b_1005    conda-forge\n",
      "freetype                  2.10.4               h4cff582_1    conda-forge\n",
      "freexl                    1.0.6                h0d85af4_0    conda-forge\n",
      "geos                      3.9.1                he49afe7_2    conda-forge\n",
      "geotiff                   1.6.0                h1925f3f_4    conda-forge\n",
      "gettext                   0.19.8.1          h7937167_1005    conda-forge\n",
      "giflib                    5.2.1                hbcb3906_2    conda-forge\n",
      "hdf4                      4.2.15               hefd3b78_3    conda-forge\n",
      "hdf5                      1.10.6          nompi_hc5d9132_1114    conda-forge\n",
      "icu                       68.1                 h74dc148_0    conda-forge\n",
      "idna                      3.1                pyhd3deb0d_0    conda-forge\n",
      "importlib-metadata        4.6.1            py39h6e9494a_0    conda-forge\n",
      "importlib_metadata        4.6.1                hd8ed1ab_0    conda-forge\n",
      "importlib_resources       5.2.0              pyhd8ed1ab_0    conda-forge\n",
      "ipykernel                 6.0.3            py39h71a6800_0    conda-forge\n",
      "ipython                   7.25.0           py39h71a6800_1    conda-forge\n",
      "ipython_genutils          0.2.0                      py_1    conda-forge\n",
      "jasper                    1.900.1           h636a363_1006    conda-forge\n",
      "jedi                      0.18.0           py39h6e9494a_2    conda-forge\n",
      "jpeg                      9d                   hbcb3906_0    conda-forge\n",
      "json-c                    0.15                 hcb556a6_0    conda-forge\n",
      "jupyter_client            6.1.12             pyhd8ed1ab_0    conda-forge\n",
      "jupyter_core              4.7.1            py39h6e9494a_0    conda-forge\n",
      "kealib                    1.4.14               h31dd65d_2    conda-forge\n",
      "kiwisolver                1.3.1            py39hf018cea_1    conda-forge\n",
      "krb5                      1.19.1               hcfbf3a7_0    conda-forge\n",
      "lcms2                     2.12                 h577c468_0    conda-forge\n",
      "libaec                    1.0.5                he49afe7_0    conda-forge\n",
      "libblas                   3.9.0                9_openblas    conda-forge\n",
      "libcblas                  3.9.0                9_openblas    conda-forge\n",
      "libcurl                   7.77.0               hf45b732_0    conda-forge\n",
      "libcxx                    12.0.1               habf9029_0    conda-forge\n",
      "libdap4                   3.20.6               h3e144a0_2    conda-forge\n",
      "libedit                   3.1.20191231         hed1e85f_2    conda-forge\n",
      "libev                     4.33                 haf1e3a3_1    conda-forge\n",
      "libffi                    3.3                  h046ec9c_2    conda-forge\n",
      "libgdal                   3.2.1                h62a8350_7    conda-forge\n",
      "libgfortran               5.0.0           9_3_0_h6c81a4c_22    conda-forge\n",
      "libgfortran5              9.3.0               h6c81a4c_22    conda-forge\n",
      "libglib                   2.68.3               hd556434_0    conda-forge\n",
      "libiconv                  1.16                 haf1e3a3_0    conda-forge\n",
      "libkml                    1.3.0             h8fd9edb_1014    conda-forge\n",
      "liblapack                 3.9.0                9_openblas    conda-forge\n",
      "libnetcdf                 4.7.4           nompi_h9d8a93f_107    conda-forge\n",
      "libnghttp2                1.43.0               h07e645a_0    conda-forge\n",
      "libopenblas               0.3.15          openmp_h5e1b9a4_1    conda-forge\n",
      "libpng                    1.6.37               hb0a8c7a_2    conda-forge\n",
      "libpq                     13.3                 hea3049e_0    conda-forge\n",
      "librttopo                 1.1.0                h5413771_6    conda-forge\n",
      "libsodium                 1.0.18               hbcb3906_1    conda-forge\n",
      "libspatialite             5.0.1                h395434c_3    conda-forge\n",
      "libssh2                   1.9.0                h52ee1ee_6    conda-forge\n",
      "libtiff                   4.2.0                h46d1c8c_2    conda-forge\n",
      "libwebp-base              1.2.0                h0d85af4_2    conda-forge\n",
      "libxml2                   2.9.12               h93ec3fd_0    conda-forge\n",
      "llvm-openmp               12.0.1               hda6cdc1_0    conda-forge\n",
      "lz4-c                     1.9.3                h046ec9c_0    conda-forge\n",
      "matplotlib-base           3.4.2            py39hb07454d_0    conda-forge\n",
      "matplotlib-inline         0.1.2              pyhd8ed1ab_2    conda-forge\n",
      "metpy                     1.0.1              pyhd8ed1ab_0    conda-forge\n",
      "ncurses                   6.2                  h2e338ed_4    conda-forge\n",
      "numpy                     1.21.1           py39h7eed0ac_0    conda-forge\n",
      "olefile                   0.46               pyh9f0ad1d_1    conda-forge\n",
      "openjpeg                  2.4.0                h6e7aa92_1    conda-forge\n",
      "openssl                   1.1.1k               h0d85af4_0    conda-forge\n",
      "packaging                 21.0               pyhd8ed1ab_0    conda-forge\n",
      "pandas                    1.3.0            py39h4d6be9b_0    conda-forge\n",
      "parso                     0.8.2              pyhd8ed1ab_0    conda-forge\n",
      "patsy                     0.5.1                      py_0    conda-forge\n",
      "pcre                      8.45                 he49afe7_0    conda-forge\n",
      "pexpect                   4.8.0              pyh9f0ad1d_2    conda-forge\n",
      "pickleshare               0.7.5           py39hde42818_1002    conda-forge\n",
      "pillow                    8.2.0            py39h5fdd921_1    conda-forge\n",
      "pint                      0.17               pyhd8ed1ab_0    conda-forge\n",
      "pip                       21.1.3             pyhd8ed1ab_0    conda-forge\n",
      "pixman                    0.40.0               hbcb3906_0    conda-forge\n",
      "pooch                     1.4.0              pyhd8ed1ab_0    conda-forge\n",
      "poppler                   0.89.0               hd735947_5    conda-forge\n",
      "poppler-data              0.4.10                        0    conda-forge\n",
      "postgresql                13.3                 he8fe76e_0    conda-forge\n",
      "proj                      7.2.0                h78d1473_2    conda-forge\n",
      "prompt-toolkit            3.0.19             pyha770c72_0    conda-forge\n",
      "ptyprocess                0.7.0              pyhd3deb0d_0    conda-forge\n",
      "pycparser                 2.20               pyh9f0ad1d_2    conda-forge\n",
      "pyepsg                    0.4.0                      py_0    conda-forge\n",
      "pygments                  2.9.0              pyhd8ed1ab_0    conda-forge\n",
      "pyopenssl                 20.0.1             pyhd8ed1ab_0    conda-forge\n",
      "pyparsing                 2.4.7              pyh9f0ad1d_0    conda-forge\n",
      "pyproj                    3.1.0            py39he1749b9_3    conda-forge\n",
      "pyshp                     2.1.3              pyh44b312d_0    conda-forge\n",
      "pysocks                   1.7.1            py39h6e9494a_3    conda-forge\n",
      "python                    3.9.6           hd187cdc_1_cpython    conda-forge\n",
      "python-dateutil           2.8.2              pyhd8ed1ab_0    conda-forge\n",
      "python-eccodes            2021.03.0        py39hc89836e_1    conda-forge\n",
      "python_abi                3.9                      2_cp39    conda-forge\n",
      "pytz                      2021.1             pyhd8ed1ab_0    conda-forge\n",
      "pyzmq                     22.1.0           py39h7fec2f1_0    conda-forge\n",
      "rasterio                  1.2.6            py39hafb7765_0    conda-forge\n",
      "readline                  8.1                  h05e3726_0    conda-forge\n",
      "requests                  2.26.0             pyhd8ed1ab_0    conda-forge\n",
      "rioxarray                 0.5.0              pyhd8ed1ab_0    conda-forge\n",
      "scipy                     1.7.0            py39h056f1c0_1    conda-forge\n",
      "seaborn                   0.11.1               h694c41f_0    conda-forge\n",
      "seaborn-base              0.11.1             pyhd8ed1ab_1    conda-forge\n",
      "setuptools                49.6.0           py39h6e9494a_3    conda-forge\n",
      "shapely                   1.7.1            py39h1d9c377_5    conda-forge\n",
      "six                       1.16.0             pyh6c4a22f_0    conda-forge\n",
      "snuggs                    1.4.7                      py_0    conda-forge\n",
      "sqlite                    3.36.0               h23a322b_0    conda-forge\n",
      "statsmodels               0.12.2           py39h329c335_0    conda-forge\n",
      "tiledb                    2.2.9                he9a4fb4_0    conda-forge\n",
      "tk                        8.6.10               hb0a8c7a_1    conda-forge\n",
      "tornado                   6.1              py39hcbf5805_1    conda-forge\n",
      "traitlets                 5.0.5                      py_0    conda-forge\n",
      "tzcode                    2021a                h0d85af4_2    conda-forge\n",
      "tzdata                    2021a                he74cb21_1    conda-forge\n",
      "urllib3                   1.26.6             pyhd8ed1ab_0    conda-forge\n",
      "wcwidth                   0.2.5              pyh9f0ad1d_2    conda-forge\n",
      "wheel                     0.36.2             pyhd3deb0d_0    conda-forge\n",
      "xarray                    0.18.2             pyhd8ed1ab_0    conda-forge\n",
      "xerces-c                  3.2.3                hd3a8c1e_2    conda-forge\n",
      "xz                        5.2.5                haf1e3a3_1    conda-forge\n",
      "zeromq                    4.3.4                h1c7c35f_0    conda-forge\n",
      "zipp                      3.5.0              pyhd8ed1ab_0    conda-forge\n",
      "zlib                      1.2.11            h7795811_1010    conda-forge\n",
      "zstd                      1.4.9                h582d3a0_0    conda-forge\n"
     ]
    }
   ],
   "source": [
    "!conda list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "Python [conda env:floods-202107]",
   "language": "python",
   "name": "conda-env-floods-202107-py"
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  "language_info": {
   "codemirror_mode": {
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   "file_extension": ".py",
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