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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "3e50aaae",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "from pathlib import Path\n",
+    "import xarray as xr\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "from datetime import datetime\n",
+    "import matplotlib.pyplot as plt\n",
+    "from sklearn.model_selection import train_test_split"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "516565d1",
+   "metadata": {},
+   "source": [
+    "This notebook takes the raw/downloaded information and pre-process it into a format suitable for AI/ML approaches. This pre-processing procedure assumes all gridded data is in the same spatio-temporal resolution."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7826db32",
+   "metadata": {},
+   "source": [
+    "# Outcome variable (or predictand)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e08681ba",
+   "metadata": {},
+   "source": [
+    "## Above Ground Biomass"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "b2d9b8b4",
+   "metadata": {},
+   "outputs": [
+    {
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+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
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+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:                (latitude: 720, longitude: 1440, time: 84)\n",
+       "Coordinates:\n",
+       "  * time                   (time) datetime64[ns] 2010-01-01 ... 2016-12-01\n",
+       "  * longitude              (longitude) float32 -179.9 -179.6 ... 179.6 179.9\n",
+       "  * latitude               (latitude) float32 -89.88 -89.62 ... 89.62 89.88\n",
+       "Data variables:\n",
+       "    abg_avitabile_vod5th   (time, latitude, longitude) float64 ...\n",
+       "    abg_avitabile_vodmean  (time, latitude, longitude) float64 ...\n",
+       "    abg_avitabile_vod95th  (time, latitude, longitude) float64 ...\n",
+       "    abg_baccini_vod5th     (time, latitude, longitude) float64 ...\n",
+       "    abg_baccini_vodmean    (time, latitude, longitude) float64 ...\n",
+       "    abg_baccini_vod95th    (time, latitude, longitude) float64 ...\n",
+       "    abg_saatchi_vod5th     (time, latitude, longitude) float64 ...\n",
+       "    abg_saatchi_vodmean    (time, latitude, longitude) float64 ...\n",
+       "    abg_saatchi_vod95th    (time, latitude, longitude) float64 ...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a2459983-20e9-42bd-b888-c7ef0120d615' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a2459983-20e9-42bd-b888-c7ef0120d615' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 720</li><li><span class='xr-has-index'>longitude</span>: 1440</li><li><span class='xr-has-index'>time</span>: 84</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a7f00806-fc8f-4e39-8003-731b1829e70f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a7f00806-fc8f-4e39-8003-731b1829e70f' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>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'>2010-01-01 ... 2016-12-01</div><input id='attrs-021a16b3-905f-4c2a-b7af-b98620e3d988' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-021a16b3-905f-4c2a-b7af-b98620e3d988' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37d3b924-097e-4285-9af3-c89473e66765' class='xr-var-data-in' type='checkbox'><label for='data-37d3b924-097e-4285-9af3-c89473e66765' 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;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2010-03-01T00:00:00.000000000&#x27;, &#x27;2010-04-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2010-05-01T00:00:00.000000000&#x27;, &#x27;2010-06-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2010-07-01T00:00:00.000000000&#x27;, &#x27;2010-08-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2010-09-01T00:00:00.000000000&#x27;, &#x27;2010-10-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2010-11-01T00:00:00.000000000&#x27;, &#x27;2010-12-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2011-01-01T00:00:00.000000000&#x27;, &#x27;2011-02-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2011-03-01T00:00:00.000000000&#x27;, &#x27;2011-04-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2011-05-01T00:00:00.000000000&#x27;, &#x27;2011-06-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2011-07-01T00:00:00.000000000&#x27;, &#x27;2011-08-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2011-09-01T00:00:00.000000000&#x27;, &#x27;2011-10-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2011-11-01T00:00:00.000000000&#x27;, &#x27;2011-12-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2012-01-01T00:00:00.000000000&#x27;, &#x27;2012-02-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2012-03-01T00:00:00.000000000&#x27;, &#x27;2012-04-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2012-05-01T00:00:00.000000000&#x27;, &#x27;2012-06-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2012-07-01T00:00:00.000000000&#x27;, &#x27;2012-08-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2012-09-01T00:00:00.000000000&#x27;, &#x27;2012-10-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2012-11-01T00:00:00.000000000&#x27;, &#x27;2012-12-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-02-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2013-03-01T00:00:00.000000000&#x27;, &#x27;2013-04-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2013-05-01T00:00:00.000000000&#x27;, &#x27;2013-06-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2013-07-01T00:00:00.000000000&#x27;, &#x27;2013-08-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2013-09-01T00:00:00.000000000&#x27;, &#x27;2013-10-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2013-11-01T00:00:00.000000000&#x27;, &#x27;2013-12-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2014-01-01T00:00:00.000000000&#x27;, &#x27;2014-02-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2014-03-01T00:00:00.000000000&#x27;, &#x27;2014-04-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2014-05-01T00:00:00.000000000&#x27;, &#x27;2014-06-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2014-07-01T00:00:00.000000000&#x27;, &#x27;2014-08-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2014-09-01T00:00:00.000000000&#x27;, &#x27;2014-10-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2014-11-01T00:00:00.000000000&#x27;, &#x27;2014-12-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2015-01-01T00:00:00.000000000&#x27;, &#x27;2015-02-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2015-03-01T00:00:00.000000000&#x27;, &#x27;2015-04-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2015-05-01T00:00:00.000000000&#x27;, &#x27;2015-06-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2015-07-01T00:00:00.000000000&#x27;, &#x27;2015-08-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2015-09-01T00:00:00.000000000&#x27;, &#x27;2015-10-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2015-11-01T00:00:00.000000000&#x27;, &#x27;2015-12-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2016-01-01T00:00:00.000000000&#x27;, &#x27;2016-02-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2016-03-01T00:00:00.000000000&#x27;, &#x27;2016-04-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2016-05-01T00:00:00.000000000&#x27;, &#x27;2016-06-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2016-07-01T00:00:00.000000000&#x27;, &#x27;2016-08-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2016-09-01T00:00:00.000000000&#x27;, &#x27;2016-10-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2016-11-01T00:00:00.000000000&#x27;, &#x27;2016-12-01T00:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-13ef88bf-ac6c-416e-a1ae-e9c334027cce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13ef88bf-ac6c-416e-a1ae-e9c334027cce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a7c6bd3-4a68-4cf1-a19b-90cc00138886' class='xr-var-data-in' type='checkbox'><label for='data-1a7c6bd3-4a68-4cf1-a19b-90cc00138886' 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>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
+       "      dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>-89.88 -89.62 ... 89.62 89.88</div><input id='attrs-2c4c3d05-9edf-4776-8dcc-5c14c93a6de8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c4c3d05-9edf-4776-8dcc-5c14c93a6de8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18e051b7-08c6-45b9-9c50-d1d343946066' class='xr-var-data-in' type='checkbox'><label for='data-18e051b7-08c6-45b9-9c50-d1d343946066' 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>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-89.875, -89.625, -89.375, ...,  89.375,  89.625,  89.875],\n",
+       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-63634e6f-e50d-4d4b-92fd-f2c63c5a32ac' class='xr-section-summary-in' type='checkbox'  checked><label for='section-63634e6f-e50d-4d4b-92fd-f2c63c5a32ac' class='xr-section-summary' >Data variables: <span>(9)</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>abg_avitabile_vod5th</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b092fc5a-2efc-4e20-9afa-dac84e656b9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b092fc5a-2efc-4e20-9afa-dac84e656b9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b85ada3f-c0e6-448f-8e30-9811c95df963' class='xr-var-data-in' type='checkbox'><label for='data-b85ada3f-c0e6-448f-8e30-9811c95df963' 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>AGB estimation using a relation Avitabile et al. as a fct of 5thpercentile VOD</dd><dt><span>units :</span></dt><dd>Mg/h</dd></dl></div><div class='xr-var-data'><pre>[87091200 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>abg_avitabile_vodmean</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a103f4a9-e332-472e-9203-a7b491ec1b1c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a103f4a9-e332-472e-9203-a7b491ec1b1c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11dad773-edde-4df6-9b9b-037de91ad29a' class='xr-var-data-in' type='checkbox'><label for='data-11dad773-edde-4df6-9b9b-037de91ad29a' 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>AGB estimation using a relation Avitabile et al. as a fct of mean VOD</dd><dt><span>units :</span></dt><dd>Mg/h</dd></dl></div><div class='xr-var-data'><pre>[87091200 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>abg_avitabile_vod95th</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-64f5113e-57c9-44d6-be42-7666fd2e1878' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64f5113e-57c9-44d6-be42-7666fd2e1878' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f11fc03-6104-4579-b2aa-4baf3ebf766e' class='xr-var-data-in' type='checkbox'><label for='data-5f11fc03-6104-4579-b2aa-4baf3ebf766e' 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>AGB estimation using a relation Avitabile et al. as a fct of 95thpercentile</dd><dt><span>units :</span></dt><dd>Mg/h</dd></dl></div><div class='xr-var-data'><pre>[87091200 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>abg_baccini_vod5th</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-afb5f1a5-1419-43df-84f5-b92b46c04281' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-afb5f1a5-1419-43df-84f5-b92b46c04281' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79b24252-a70b-42ba-a6a7-ea303edc9553' class='xr-var-data-in' type='checkbox'><label for='data-79b24252-a70b-42ba-a6a7-ea303edc9553' 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>AGB estimation using a relation Baccini et al. as a fct of 5thpercentile VOD</dd><dt><span>units :</span></dt><dd>Mg/h</dd></dl></div><div class='xr-var-data'><pre>[87091200 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>abg_baccini_vodmean</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3170a40c-3815-4630-9cbb-e358e0f2e690' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3170a40c-3815-4630-9cbb-e358e0f2e690' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-360bbca6-57f4-46bc-9ea8-73afdd0945f3' class='xr-var-data-in' type='checkbox'><label for='data-360bbca6-57f4-46bc-9ea8-73afdd0945f3' 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>AGB estimation using a relation Baccini et al. as a fct of mean VOD</dd><dt><span>units :</span></dt><dd>Mg/h</dd></dl></div><div class='xr-var-data'><pre>[87091200 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>abg_baccini_vod95th</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cc7db628-252e-46f3-904f-c616b098fc9f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc7db628-252e-46f3-904f-c616b098fc9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3b12ef3-eb15-4b45-8d52-fc88105d802a' class='xr-var-data-in' type='checkbox'><label for='data-e3b12ef3-eb15-4b45-8d52-fc88105d802a' 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>AGB estimation using a relation Baccini et al. as a fct of 95thpercentile VOD</dd><dt><span>units :</span></dt><dd>Mg/h</dd></dl></div><div class='xr-var-data'><pre>[87091200 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>abg_saatchi_vod5th</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-db314955-7bc5-40e8-9965-f31dd5832cae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db314955-7bc5-40e8-9965-f31dd5832cae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-afd29644-66b9-486d-9d38-65a83b4f1366' class='xr-var-data-in' type='checkbox'><label for='data-afd29644-66b9-486d-9d38-65a83b4f1366' 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>AGB estimation using a relation Saatchi et al. as a fct of 5thpercentile VOD</dd><dt><span>units :</span></dt><dd>Mg/h</dd></dl></div><div class='xr-var-data'><pre>[87091200 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>abg_saatchi_vodmean</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4cdf89bd-f117-4f27-834f-4252673eaa50' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4cdf89bd-f117-4f27-834f-4252673eaa50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-edcddce8-13d5-4f66-94d2-2a2fa76b8670' class='xr-var-data-in' type='checkbox'><label for='data-edcddce8-13d5-4f66-94d2-2a2fa76b8670' 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>AGB estimation using a relation Saatchi et al. as a fct of mean VOD</dd><dt><span>units :</span></dt><dd>Mg/h</dd></dl></div><div class='xr-var-data'><pre>[87091200 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>abg_saatchi_vod95th</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5df33397-670a-41a3-b28d-a3803218fc5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5df33397-670a-41a3-b28d-a3803218fc5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3503db88-88ca-4315-9b97-78820f940174' class='xr-var-data-in' type='checkbox'><label for='data-3503db88-88ca-4315-9b97-78820f940174' 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>AGB estimation using a relation Saatchi et al. as a fct of 95thpercentile VOD</dd><dt><span>units :</span></dt><dd>Mg/h</dd></dl></div><div class='xr-var-data'><pre>[87091200 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b53577f4-1119-4489-8c3b-c476554f98c1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b53577f4-1119-4489-8c3b-c476554f98c1' 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.Dataset>\n",
+       "Dimensions:                (latitude: 720, longitude: 1440, time: 84)\n",
+       "Coordinates:\n",
+       "  * time                   (time) datetime64[ns] 2010-01-01 ... 2016-12-01\n",
+       "  * longitude              (longitude) float32 -179.9 -179.6 ... 179.6 179.9\n",
+       "  * latitude               (latitude) float32 -89.88 -89.62 ... 89.62 89.88\n",
+       "Data variables:\n",
+       "    abg_avitabile_vod5th   (time, latitude, longitude) float64 ...\n",
+       "    abg_avitabile_vodmean  (time, latitude, longitude) float64 ...\n",
+       "    abg_avitabile_vod95th  (time, latitude, longitude) float64 ...\n",
+       "    abg_baccini_vod5th     (time, latitude, longitude) float64 ...\n",
+       "    abg_baccini_vodmean    (time, latitude, longitude) float64 ...\n",
+       "    abg_baccini_vod95th    (time, latitude, longitude) float64 ...\n",
+       "    abg_saatchi_vod5th     (time, latitude, longitude) float64 ...\n",
+       "    abg_saatchi_vodmean    (time, latitude, longitude) float64 ...\n",
+       "    abg_saatchi_vod95th    (time, latitude, longitude) float64 ..."
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\"\"\"Load AGB data into an xarray dataset\"\"\"\n",
+    "agb_data = xr.open_dataset(\"/data1/raw_data/veg_2010_2016/all_veg_data.nc\")\n",
+    "agb_data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b349a134",
+   "metadata": {},
+   "source": [
+    "Now select below which data variable you would like to use as outcome, this will be used to mask all the other features."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "c3d865a6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Mg/h'"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# We suggest to select one of the maps by Avitabile et al.\n",
+    "# This is the outcome variable and also works as mask for all the features.\n",
+    "# All the features geerated from here onwards, will depend on this choice!\n",
+    "vartype = \"mean\"  # it can also be '05th' or '95th'\n",
+    "varname = \"abg_avitabile_vod\" + vartype\n",
+    "\n",
+    "agb_data = eval(\"agb_data.\" + varname)\n",
+    "# Units\n",
+    "agb_data.units"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "bfec3ce3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
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+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;abg_avitabile_vodmean&#x27; (time: 84, latitude: 720, longitude: 1440)&gt;\n",
+       "[87091200 values with dtype=float64]\n",
+       "Coordinates:\n",
+       "  * time       (time) datetime64[ns] 2010-01-01 2010-02-01 ... 2016-12-01\n",
+       "  * longitude  (longitude) float32 -179.9 -179.6 -179.4 ... 179.4 179.6 179.9\n",
+       "  * latitude   (latitude) float32 -89.88 -89.62 -89.38 ... 89.38 89.62 89.88\n",
+       "Attributes:\n",
+       "    long_name:  AGB estimation using a relation Avitabile et al. as a fct of ...\n",
+       "    units:      Mg/h</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'abg_avitabile_vodmean'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 84</li><li><span class='xr-has-index'>latitude</span>: 720</li><li><span class='xr-has-index'>longitude</span>: 1440</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-24c4a2c8-4370-4ecd-951b-68424556b145' class='xr-array-in' type='checkbox' checked><label for='section-24c4a2c8-4370-4ecd-951b-68424556b145' 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>...</span></div><div class='xr-array-data'><pre>[87091200 values with dtype=float64]</pre></div></div></li><li class='xr-section-item'><input id='section-dba1bb0e-01b1-48df-9321-81dfb28df56d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dba1bb0e-01b1-48df-9321-81dfb28df56d' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>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'>2010-01-01 ... 2016-12-01</div><input id='attrs-fb610962-1f10-4ca0-9a7e-505668fb510c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fb610962-1f10-4ca0-9a7e-505668fb510c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a1d5478-25d1-423c-b9ec-e00f48eefa44' class='xr-var-data-in' type='checkbox'><label for='data-0a1d5478-25d1-423c-b9ec-e00f48eefa44' 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;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,\n",
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+       "       &#x27;2014-11-01T00:00:00.000000000&#x27;, &#x27;2014-12-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2015-01-01T00:00:00.000000000&#x27;, &#x27;2015-02-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2015-03-01T00:00:00.000000000&#x27;, &#x27;2015-04-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2015-05-01T00:00:00.000000000&#x27;, &#x27;2015-06-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2015-07-01T00:00:00.000000000&#x27;, &#x27;2015-08-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2015-09-01T00:00:00.000000000&#x27;, &#x27;2015-10-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2015-11-01T00:00:00.000000000&#x27;, &#x27;2015-12-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2016-01-01T00:00:00.000000000&#x27;, &#x27;2016-02-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2016-03-01T00:00:00.000000000&#x27;, &#x27;2016-04-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2016-05-01T00:00:00.000000000&#x27;, &#x27;2016-06-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2016-07-01T00:00:00.000000000&#x27;, &#x27;2016-08-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2016-09-01T00:00:00.000000000&#x27;, &#x27;2016-10-01T00:00:00.000000000&#x27;,\n",
+       "       &#x27;2016-11-01T00:00:00.000000000&#x27;, &#x27;2016-12-01T00:00:00.000000000&#x27;],\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-38fb37e5-efd5-4b68-98dc-65b7c2439e60' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38fb37e5-efd5-4b68-98dc-65b7c2439e60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13172b2d-abe9-4419-99cc-8d7f500935f9' class='xr-var-data-in' type='checkbox'><label for='data-13172b2d-abe9-4419-99cc-8d7f500935f9' 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>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
+       "      dtype=float32)</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'>float32</div><div class='xr-var-preview xr-preview'>-89.88 -89.62 ... 89.62 89.88</div><input id='attrs-075c1db1-19dd-48c2-8dc4-d3855dd83c8d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-075c1db1-19dd-48c2-8dc4-d3855dd83c8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bbaf44ee-df1e-461e-b2ba-cf1f1f56de76' class='xr-var-data-in' type='checkbox'><label for='data-bbaf44ee-df1e-461e-b2ba-cf1f1f56de76' 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>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-89.875, -89.625, -89.375, ...,  89.375,  89.625,  89.875],\n",
+       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b72927cb-a860-40f7-b47c-c902f8351cdc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b72927cb-a860-40f7-b47c-c902f8351cdc' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>AGB estimation using a relation Avitabile et al. as a fct of mean VOD</dd><dt><span>units :</span></dt><dd>Mg/h</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'abg_avitabile_vodmean' (time: 84, latitude: 720, longitude: 1440)>\n",
+       "[87091200 values with dtype=float64]\n",
+       "Coordinates:\n",
+       "  * time       (time) datetime64[ns] 2010-01-01 2010-02-01 ... 2016-12-01\n",
+       "  * longitude  (longitude) float32 -179.9 -179.6 -179.4 ... 179.4 179.6 179.9\n",
+       "  * latitude   (latitude) float32 -89.88 -89.62 -89.38 ... 89.38 89.62 89.88\n",
+       "Attributes:\n",
+       "    long_name:  AGB estimation using a relation Avitabile et al. as a fct of ...\n",
+       "    units:      Mg/h"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "agb_data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "373b197b",
+   "metadata": {},
+   "source": [
+    "Please note the units of AGB are Mg/h!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "9b657ed3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x7f0d7bfa1be0>"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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4eYFpJBJ/7RszOoMjsQxP+kdexwvsDHuGJw+Yg3EieAH4FsbjLVFgOSa8/F/v+PNe6pmurjECmEH7wNGXk7S7ELgXqMc4G+wOXK6qz3Rod3Eat9aoqn9IdbC7T+5Kz9c7VXkRE4hkSYOiRevxN0eJBjyjIg4ajTLq3SYie++Ak5+PU2jigDQaNctuPl+vPbWqdmjzAnvr1ouQuuSBmO6WGjQSGVaG55nQw7jNzTh5ufh22YHI6jXdn2Sx9BAXSat0wzjgBRFZhAnoXKCqT2GUBi4WkaWYPZ27vfZ3A6O8+ovpkAOtIyJyBsaVez7meT0fuDpF89NUtQ6YC4wATgR+maTdpUAhUNRF+X5X4+py5qOqj3V1PN02FkN4XAn+jY2Uf7SKCODk5iA+H81jcvj3Xy5p11Z8PtxwBCc3B9wuv9R0oqr8LNympnbxRkDKOCNxHAiFkx6rLDsToi7zttzVozFkA76iIqL19fjXbRp2ThtznKOG3T0NNVQh7PZdXkdVF2FmGB3rl2H2fzrWtwA9ib+4ENgLeFVVDxGR7YGfp2gbs5RfAh5U1fdTeNI9qKrXdHVRLyt1StKaM4rITBG5U0SeEZHnYyWdcy1t+JojbNpnFG5dPf6RI3BGlOJOHkvB551nJG44gq8gH6JR8DlUlp3Zb/E+HZ0W5tXdy7y6e1Of4Lr9ct3BZl7tPcjeO6MtrRx2yC+o3PXHmR5Sr4kpNST+Ddj4r8wyhNJot3gGCxHJUdUPge1StF0oIs9gjM98ESkCOj0AVPWy7i7aXZt0FQ4eB24H7gRSbINbuqN2ZiGbd4Sy0WVoTR2SlwvvfoQzeWInYVEn4MdtaTXLb9EoTtlIpLYuPQHSnCDzN9wef1s17WKiK1fjFBaiLa2dmlfN+iHVi5N/ERoqqSEqCk/GycujOvG+p1+CfrYCiosIbG7K4OgGBl9hCqkmy6CRxpJaNrBSREqBvwELRGQLJk9aMk7HBLouU9UmERmFybGWFE9t4ZvAVBLsSXezIkjf1Tqiqrep6uuqujBW0jzX4pG/PkzBSoHmFqK1tUTXrDWBpStWA8YjK4ZGo6AuC6KPoq4S+Xyl2SOKhNu1S0b1ylviryuLT0U3beGZ8COo51SQmPKhasZl0DK0XZEPmfsrZMpEACpLTms3I/BPmURoj20JlRUw751rMzXEPhGTCdJIOK5Z5+R0lhSyDC5DRVhUVb+uqjWqejXwY8ye0ddStHWBT4GZInIQsCNQ2kX3f8cEvUaAxoTSLd25Wsc0ff4hIucAT2CkIGID3ZzORbpDRHzAG8AqVf1KKk2j/rhWJmkZEWDsf+pB1bhSu4oT9OG2tphIfGn7LpDoFiw+Hxpx2x4+6vbYdXiO75huPeUqR5wxJPd2AFonFPPC+9e1MzzVy26gIvd4nl92QwZH1kZP9mlSLanFfoc2/UZ2MNSSyanqS10d95wTLsS4dr8N7IvxqkslLjpRVSt7M5bult0WYgx8zHRfmnBMgem9uWgSLsTIeBd772OaRo+IyO2YqeBt/XStjLHmC7Dd8yvRhM19NxTCyc9vp+nWkZhnXFwBIQWVI78DkUh8/6ai4CQQMZpxQNWE8yEYIDqmFN+qTRCJQGkxmmskaIaq4XnhmR/EXy9wH2+nhzfYm/JVEy9oN/PsipiCecfU693t5cwNHodvRAnV64b8v8TQJgtmNQNAT5wTAF4RkZ1V9d2eXqhLs62q01R1OrCD9zpeMMmG+oyITAS+jPEpx/OsSKVpNKRxC6IwcSxNh8yKGxOjYuAYxwI8g9EBccQYHnHMa3His56KgpOoHOGFYnkGrLL4VCoKT0aCQYi6aMxbLienrdOWVrMM19LKvHevG7ibzhD+8eNw8vIG7XrdLYVC14YwZnCSGh5x4kulVWPPwSksGDaGp7I45XZC1qNARJ20yhAiLecEEXnXcw0/EHhTRJaIyKKE+m5J1+HgFWCPNOp6w03AZRi/cDBLbak0jdrh6SOdCTB58uR+GMrAMvPuEO7ipWy5Zgbjqs1ymuTkoK4Lfj9Ek89snMJConX1AHFDMsd3DL7CAvC8ICtyj0fy801fkQhOSTHa3IIE/PiCAaI7TmflvgVMfGotvs2NuA2NxviNGhC19EGlcrefEF30QfzhHkunMJiznpiAaU/iieY33M8c5ygq8k5sG7v7eGcDpC7qOog/MKxisYY6A6FwkAWk65zwlb5eqEuTLCJjRWRPIE9EdheRPbxyMJDf14uLyFeA9b11XlDVO2JaSeXl5X0dzoDj/2Q1EvAz8fR1fPS73T2nAmNMxDHOBDjSafajzc3xWVI70dHWViQQANdFCgs8mV1zzG1sQkaXIfnm278TijD2tUYi5UVQ34AU5KHRKO5nKwbxExgY3MVLk9YPpityb/XjYjOaxLHGDNkC93GcYBCAZb/aB9l5Rh9HmV1UzejWWzfrGQoOByJSLyJ1HcoKEXlCRNptnfTAOeGvmADXHYB1qvpZYklnXN3NByuAGzCbT79JKBcBP0znAt1wAHCEiCzHOBgcCtyMp2nktUnUNBrSVK+9lfmND+A2NLLdbQ04+fm4La0QiaBhb6KXLKBUnDaHhASnBI1G4x5sTByLFOQjAe9jU4XWENHNNTQfuD25N21k9YEFqN/BHVuG+E27+S0PDeQtDwrPhB5GfD4ziyg4iYqCk8yym/fgHgxijgA9nW09E34EfO3/DTXStic4v+UhEIcZP/8AliynauqApFbJCJv3HWtm/EOUIRTncxNmv34C5nl6CfAw5pl7T6qTPBWbJ1M4e+2DcUA7GHhJRJ4WkQtFZGa6g+pO4eB+EXkQ+Laq9vtTSlWvAK4A8GZTl6jq8SLyOMk1jYYFEgwgLSHIy8NtajJOBzm5xrAkqFjPDR5nHqzBALS6cZ23uKu0OGZPRxVn1XrciWNwwmGz9AbQ0ooEA6zfM8CKN6bDOCWwZCXuuHIQiUv5DAdie2CxGYTb3NzOEMTSK8zbfOfgD64bYstvHYnJKokjSMCPhkLDIhvu3MCxIA6F+++EW1+f6eH0iSES53OEl6guxh0i8raq/kBEejWJ8LZFXvQKIjIeqMQko9sW47BwTld9dPu1Q1VdEbkIGMyvyD8AHhGRnwFv0aZpNDxwHKJLPyV02O7kvNQYj+EQnw8NhVBXqcg7ETDuzxoKm2Udz0lBXaddrI6Tn4+OHYWzfjPRzVuMowHmAcwO0xn7Wojcj9ZBnhcb4nfQcDi+jzSc6DjzmBs8zjy88/u8StwvJO5FxfaqEmezEFM0j7abAUU2bBxWcjoajfLciz+Me/wNSXTI7Pk0icjRtDlxfQto8V73TLsrBaq6GjOLukdEHIwqd5ekO+d9VkQuAR4lIYCov+J8vL5exLOiqTSNhgvzttzFHOco8j6vJRLbK1DX5PDxgUZDSF4uWl+PtrTitra0Oz+ediEYMMtrRYU0Tyoh9+PlqKv48vOhqBDdtBlZu5mGnaYQzRlHwVsrwedDlq5AW1oHdVlqMIgpgQPg8+G2tCKO4IaiEDPeWcS8t68xxij6aNxbbo5zVDynE35/J9WGoUzliDPQllZ8kyaiW2qoLD61k5v5UEKBiJtdf1MpOB6znXErZtivAid4Ctrn9aVjEfkHnQ1YLfCGiCyMec4lI91P7hjgXIwy6kKvvNGLsVo8nJxc3GWfxR0IxB9AggGcMi8hoReIGnMuSMzzg7pxZwWntATNyyFvRW1cCRtHcNetR3JziI4bxaZdoOCDDZATBBHE70fycodloGK7GY73OSXOEiE9t+iBouPsJfY+MXXGM+FHmN/yEBIIENk05NK0JCXmUj2/+UHc1WuYt+WurvUEhwBDZc9HVZep6ldVtUxVy73XS1W1WVX/3d35ItKVxtYyoAEjvXYnUIdJxzDTe5+StGY+XlyPpR+JPfgrS06LJzxzm1twAn785WW4jUaLLDH1QszxQCNhnJhjQcCPW5SDr7YZdRVxBI1GcUaNRGtq8dU2sd0v16DjyiEcRbwA12zc++gLsT0TJ7ZkFZtRJnx2qBufHWWTKnSqGJ/EoN/KktOYV5tybzjriRmaww+6DvbulxDBrECHwLKbly/oO3TWXzstzS5S5uQB9lfVvRLe/0NE/qeqe4nI+111mpbxEZEAcDZwkFf1IvAHVU2uw29JH8fBP3IE0Zoa1FWim7fgGzkCp6gQt64eDUfiWU1jsxrAxAe1tuJu2ITT0Eh41hScpYKTn4+IQ3jaaAIr/BCOQHERsqnW86obfr+ymEq3Ewwa78FEJQgvONcJ+HFDIdxwpFuliMEm0QjO8R3DHN8xOLk58WVDjUbxFRV10cPQ4dmXr8z0EPqVIeJw8HfgX8Cz9EIYuptQmEIRmayqnwOIyGRMnh+ALuMP0t3zuQ0IYNYMwSQYuo2us5xa0kCbm3FdbZ+xNBQmsqW2bcnN8RttN9dB4t/i1ezvFOVDbg6+xpDZzykqJLTtWIJL15rspMVF6MbNxp13iObl6YqKgpM81YcATlERWlPTLv147MEen1WomzUznqR4v/P5jQ8YQVHvXqL19VRNu5jqT3+bwcFZEtGh43CQr6o/6KpBir2bOKp6RIpD3wf+LSKfYGTYpgHneLl8utzQS9f47NXBVe95EXknzXMtXTC/5aG4Z1vMu8ltbo6LiULCfoC6bUtrsbig3BzjNr2hFhfQkcX461vRslKzzLZxswlCLS1OmTBuqCPBIG5zM5HNW9rJECUa9KTKAVlER6HY2Fhjy6xdGcyK3a9i/ls2ofDgI0SHhsPBUyLyJVV9uos2vVLfVdWnRWQGsL1XtSTByeCmrs5N1/hERWQbVf0EwIuKtXl9+gtHENo2xSUYQByHaGO0zbkgkZjzgQra2ISUltAyo5zc5hZoaoWcILK5Bvx+NBRGcnPQ/DwkMvx+ZZKXi4hjXNQT9nZiM4ZkezvZtN8TR5ykjhDdGR5LZhkKez4YsdAfikgrEMbMUFRVY0LO3apdd0REvpHi0DYigqr+tbs+0jU+l2JyjC/DDHwKXSQYsvSM+Y0PmOUjvPQKwQCfXroLU697wwSgBoPxOB8JBnBGlKK1dbjhCNrQiNbW8UIXaQMqCk/GKS4ashlJuyQcIdrU1G522A5xsnrGE0McAXydv2ikgZ31ZIahou2mqmlvGHqzmF9ghKPjSaM8gelE/oxJufB27NTES2Lkd7okXW+357xBxdRNl6hq55SYlt7jqpHGaTWabZOrG80ejs+HG47gBINIXp4JDI1ujuf2SedhNb/hfirLzkSyLM6lr1TknWjioXrxwM46/H7cpqZOqTPsrCeL0S4zoaSNiEwCHgDGmF65Q1VvFpGrMV5qG7ymP4wtnYnIFZhUM1HgAlWdn6Tf7VX1QxFJKgCtqm8mqb4XuAq4ETgEM8lI9uD4BnAssAvGoeFPqppcZDEFPRFW2pM2V73dvKnVAz25mKUL1EVdFycvDw1H2LhbAWPe95u9HQ3jhiP4i/xt4qKYvaDuEsTFcRWNtPY4CV22Msd3jPkcWlPGsBlSeLalm+9nsJbo3CYvzXdCXJdGo8xxjsI3csSQSWe+tdFP3m4R4Puq+qaIFAELRWSBd+xGVW23rCEiszAP/h2B8RgRgJmq2vFb2MUY1f/fJLmmkjxBXJ432RBPIPRqEVkI/KTdyap/A/7mORYcCfzGS7l9ZbpLeGl9Ffb03W7A5G7Yyyuz0znXkh7GkcAxUjnRKCOWtOLOmtYWIKmuSYMQa9shcLLb/puajNu2p5g8lKnIPT5td+kF7uNp5dHp+DrZ+8FAfL52M9pYuuyhsHS4taGYPZ90Spf9qK6JzUJUtR6TWDNpGhmPI4FHVLVVVT8FlpJEEUZVz/R+HpKkpMpM2urJ43wsIueJyNdpc51ORgtG0aDOa5d2fvd012FmAweo6jmqer5XLkj3IpbueSb0MNHGJhhZiq+kmJxP1lGzXQFOcdvvXQL+uESMutoWaJoG81seMsGXw2CJyo15+qVJypTUnlFK3Oif4xwVL4OJv7zMk1dK0OwLBo3uX2OzXX7LSoSom14BykTkjYRyZtIeRaYCuwOveVXneUna7hGREV7dBCAxF0rKnGden0d5MypE5Eci8lcR2T1F8wsx6XIuwKx2nYARd+7Y56Ge8sFCzPLczaq6W7Llv1Ska3zeA8am26mldyyIPmpkdcpGorX1+JuUVcfPjBucaGMTTm4OTm5OrwzJM6GHeSb08EAMfXBJY9bTKb4nYb8rnkPHd0zSfDrJ+umKZOf21HhVr7stQTbJyC3FvBrd1pZ4IG13zA0eF1fDtgw8PZj5bIzlHvNKp3VUESkE/gJ8T1XrMLGU2wC7AWtIvnyWDj9W1XoRORA4HCPUnFQwUFX/p6oNqrpSVU9V1W+q6qtJmj6LmW39G8gBThKRW2IlnUGl+9W5DFgsIq8DcUeDLgKPLL0kunwFvpJi5m25i4q8E5nwXCH1dxfE9wSijU34p0/BWbmmnerx1kKvdNk6bOLH9N60Y3BvL5jjHNXnpcyqcecCdLkXl64xGxZfLoYIqv3nau2pyPwFeCjmpqyq6xKO3wk85b1dBUxKOL27nGexP/IvY5wZ/ullDOgLp9FHRex0jc/VfbmIJX2eCT1MZdmZVI07l/nND/LXT3bnDt0NaNN5i4wuxrduw1ZpfHplLJK4X3fVT08DUpP+HnrgWejW1OGUj6Jq4gVUr0z+pbEny24VucfjTJpA9cfXp32OpXf0h6u1iAhmNvKBqv42oX6cqsbysn8dswIF8CTwsIj8FuNwMAN4vYtLrBKRPwBzgF+JSA7pr3olRVXv68v5pDsAL6NdpxI7LiL/7etALG3M23gHOOZXc8c+e7H8ol1w8rx02AE//g31MHVCPG9Pd1QWn0pl8alUFJ48pPOn9HU5ycnJNRv43SzbtUvNkILYvlBKhwZ10zdgCZlMK3a/Kr1zMGKj0DbeirwTmeMchTO6HN20Je1+LL1HNb3SDQdgJMsOFZG3vfIl4HoReVdEFmH2VS4y19T3gceAxcA84Nwknm6JHA3MBypUtQYYiYnd7ISIHJBm3dXd3VR3bforh23aHg6JdOHfPhKTO2gqsBw4WlW3qv+m6lX/BxhDdMBRv0FycpDmZvD50I2b0VAobY83dV3mN9xP1cQL0PoGKgpOAkxw61CiJzO9ZA9+NxRKa79ofstD3RqOdGYisdTe3bV1m5pwm5pMDp+a2m77jRFTuXZGlMaT5vlHl1P9+U1p92HpPYrg9oO8jpfWINkUKqUcjqpeB1yX5iXK8FLgeMKfAB+maPt/QMe4oGR1Z4hIXRfXFIw7+NWpGvSX8ent2l8q//ZTgOdU9ZcicjlwOSa76VZJ/upmyM2J7y1Et5+Cf81maOkc51tZdiba2GwkekaXUf3x9fGEXbElncriU9FolIrc45nfMpgJageHZHI6QLeGxwkGQRwq8k7sH+8ycVjgdh1TFXN60GgUNxRC3J79K1UUnGRyNAX8RinDm9lW7vIj5i3q67K+pTv6JQ3owPNPzFAFM1GYBizBxAkBICL7AfsD5SJyccK5xUCyb7l3At0pJ/Q9n89A4a1nrvFe14tIzL/9SOBgr9n9mBQOW63x+byigOkP1pnlmUgEX20zDbuOo/Dt1VQWn9opKVdk31k0XVFL6VnJXZIlJwdaW9FolKrtLqd6yS8H4zYGnZ56nLleDiAnJ7dfgkvT3Z9K1KRL12GgcsQZSG4ObnNzfEkWjJrFHN8x+GZt26sxW3pAPzocDCSqunPie0/x4JwOzYKYOB0/7Y1KHSbtdsc++6zp1F/Gp8+/gQ7+7WMSNtrWYpblkp1zJiaCl8mTJydr0iOqxprfR/XaW7tpObg4EUzW0rw8I6C57HMKG5vQzTWd2kZnTqblhzWsWTuC/y67PGl/sbTMlSPOgM01VE29iOjqdUY3rqQ4vuSXbSRq3HU1i0lUL0hqgLo5vz/y/fhGjkhPRdy7lpOb07NlUNdFm5q9oNS2f7/KsjMRR6ibNTLpFxNLPzNEpj6JeCtN+3Soewl4SUTuU9XPRCRfVZsGchzpKhwUeFGviMhMETnCcw2McWJfBpHEvz2OqiopfsWqekfMb768vLwvQwCM0ck2wwPwwTUXQSRC8+zp1M/dEWdMGVpbz0c/3RmCAarGnB1v2zAlj80N+ezws5pu+5235S6qN9xO9fIb2XjaXjglRuS2qvysgbqVPhFfIkzTOKSc+XRz/vyWh/o+62loREpLum/oecW5zc096n9e7T0m821+PkRdUzB7hM+EH+GVR7/fI8NTtV3yLyqWrukPhYOBRkQuTiiXiMjDwOoUzceLyGK8PSER2VVEBuShmO5u2ctArohMAJ7BGJv7YgdV9b0U53VLMv92YJ2IjPOOjwPW97b/4UL18htRgaLFm3HLSpDSYr78xYVxp4PKktOomn4JW2Y6TL28+wdZ1cT2AhVv3n6RUb0epjl/EukuLidV0GhPlA/mtzxEZGVXoRdezFIvZ1mVxaciAT8aieC2tjC/+UGqxpxN1YTzqSg4Ke5UkoqKPY1X3eEHXcfhB13HZ0e1X1yIrQKkw9ZsuPrJ222gKUooOZg9oCNTtL0JqAA2AajqO7RlsO5X0l12E1VtEpHTgVtV9XoRebuvF0/l347xYz8Z+KX38+99vdZw4KWnL2O7a26kcAWMfN/PPxaOY+aUZjToQ6Iuvs2NRHZshKbujU+yeJLqNb8fiGH3G+lG+XdHT+OjEg1OT2ZEydrGgmRjSQF9JWZ21JcMs7E9n8iGjQDIPrvwzH9/nNa5odIgTliZ8EJjp2PT/u83bP/L5d0uwx7yxDtcv7iKy2ZV93DkQxtV0CGQTK6n+zOqukKk3Wwt6ealiBwCnE9btoMPgN+p6ovpXCfdT048b4jjMVYTkntA9JRU/u2/BOaIyMcYOYjhuSPeC5b85CIW3nkRbtBhh1+s45Pv+2gdGcS3fC0jH9jEjEs2QihkClA58jsZHvEAkiKQMzYb7HcR1TQDRyuLU6e6cvLzcfLzEZ8PX2kp87bc1SvD47a0oqEQuAqumvQS/gDiD6RleOYvNM+jvAWLyHnxXZyFH1CRe3w8Zkibmtn+l8vTGkv12llUr53V43sYDgyRmU9PWCEi+wMqIgERuQRjVNohIl8G7gH+ARyHsQ1PA/d4z/BuSXfm8z3gCuAJVX3fy2T6QprnpqQL/3aAw/ra/3DmuRd/2PbmGNjm0evQT4Txs4MULVqHu3I1VbNMm6rys+JOBkOajktUSZasYqrQEO2TAkSit1syAdJU5wD4ClOLAOsM4xgjHyzr0+9EAn6zT+SlDDeduz1OlxHZbxbBVSa2SDdsYt7mO6nIPR4JBjlkwVJufan7f0P/4Z+z8az9kwv0D3eGlmFJh7OAmzFex6sw2yznJml3KfA1b1kuxtsi8gYmLqirlN1AzxQOjvA6RVWXWVXr7OKTY66k4M08Ao1Rlpw7jpUXzWbpT/OJ7DQ1nopha0Bd7RfZoY5LZnMDx8bz66Ta+0lUO+i4Z1JZfCoVu1+FLF+Ns2pDnwN85zc+QPPX9omLzLqhENrDGCGA4Np61O8jumw52toan/nMq7uXP36yFxOf7b4PJyeX0fcmy0s23EnP2SDTDgc9QVU3qurxqjpGVUer6gmquilJ07EdDE/s/EWk8E7uSLrebvsNlgeEpfe8e8NFhAt84FNKPnGZ/ssw3733r0hw6Ofwgba9jfjylzidl8L6wU0aOjsddJxRJNvPiS1bSUE+bk0tc5yjzOZ/7vFxzzOdNK7f9taK/vMJ0YYGEMe4dvfi3qsX/xxWrzMpOkaOQPLykLw8qsacTd2WfA686lXm7n1Nl33Mb36Q+c0PxuV+tio0zZJBRKRcRH4oInd4qRnuEZF7+thtV99o0/q2m+6y200YD4gnwXhAiMiAeEBY+sa//3oJAJXXnImMLuPWs48md8TaDI+qf3BGlJqYFlXzMxLxAjl9A5anaI5zFP5Ro5LWdzRATnkZ5ARx164HcXBycuPqBQDz32q/7xtbxuttZtmVd45m/LcbkbxeqVvFkbKR+P1+KCpAN2/BKTf3u/2v6nknNB0fDV2eXzXzBzRvM4oXa/v6PBtiDJEgU4zD1r8waRD66x9lGxF5Mkm9ANPT6SDtINN0PSAs2cG8jXdQWXYmwbwAkfGdH56JVOSdGH+AzdvcpSJGRqleeQuVu/0EVq5FW1qRYND8THjAdxtAmiaJ+z2dvOwSrhGbIYUq9yK4em27zLPqKoRCnVKdV02/hOpl7TIj94rxRy81Bk+E6Jref8H4+Lpitr0uh3nvXEvlzley9PgyPr78Ig6dY/x8PqvoWsC2+qNfxV/HYs6q193W6/EMKYaG8clX1f5WiEnlqg0m63W3pGt82nlAYLLddfKAsGQX8zbeQdXMH+CsS63Jutv5N5oF2kgEmTjOeGoFA0ZZOwuJlOQSaB2FLl8JPp/J7opxNIjn6Im4nYxQXB0hDToJtqrbTi3BGLsEB4PSUvJWN+A6gpOXC+rlCQpH2s3IKnKPN7M3b/mwtzOeGPNbHmLP79wIwKj71vY4tXqMabcI0SLvy8e715nlw5+eSE7ZSLS2jhmvAZd03cd219zI9NuWbj1GJ8bQcDh4SkS+pKrdOgGIyBjg58B4Va0SkVnAfqp6d2K7WFYDEckFYlpOS1W1Jd1BpetqfRbG4yHmAbEbyT0gLNlGxDz8Kkec0elQbNnHmTgOGTUCGpqQgnwkEODQw34ZPy/ZuZni2Zd+SOv4EpzCgjYfVpG4W7U40t4DLHFfSJy2B3TsdZIMp8kcC2I/YykZxOeLu01rKASfr8EpKsKdNc2kQ49GzRi81Apzg8ehruLW1eOu39Bvn8fo/2yg7ME3+pQiXX3Cgn9fGX/vTJ8CQGT1WubV3ZuWUsKkZ5twa7oSOR6mDIE9H8xk4SkRaRGReq+k+mXdh0m/MN57/xHG27kdIuIXkesxKbzvx2QnWCEi13dQv0lJut5u6XpAWLIMzctBG5NLNPmmTWHcI0sITSjFXbsBd3Qpoe0mwIgSgm8upar8LEKztyU0e1uqpl40yCNPTc5Ha6iZMwOZOM6kmvA8vmJpp8WRTp5fbjgSNxpg8iJ1JDZ7SpxBLHAfN2rXEF/ek2DQuDrHUiGMHGGcOiaOQV9/DycvFzcUMtf0jJtGwqaEQnEpnP6gZZIn4ZNoWHtIuKD9Z1G9+Oe4rS2dlgu74tmXr2R+84O9uv6QRTHLbumUTA5TtUhVHVXN9V4XqWpxiuZlqvoY4HrnRki+xfJrTF6gaaq6p6rugUn5XUqay27pervNFJHnROQ97/0uIvKjdM61ZJZ5719H3Zwd2PjNWczd71qqpl1M1YTzqZpwPrp2PW5DI4FNjci2k1n2zRICby0lsuQTtLkZcoIE/vUuOUvWUr/nhB5Jrgwk1StupuS9Law/oBwpH4Xk5+MrKTazjZycdrMZJxjEyc3BCfjxjRyBuoqvKEG0N8Egxd2VPWcBJxg0n5OXdhtx2gyIq2a2JQ7umBGQn49s2GKW+qIuvqKi+Mwnkb7MUJLxwvwfmFQMXtBqb3T5NuwR6BQYm46SQ8fEhHMDx1I18QJmXndjj8cwVBkqQaaeHucNXvlKF00bRWQU3nxNRPYFkiWZ+grwHVWtj1V4upxnA2kFmaa77HYnJsg07F1kESZRkGUI8Mpj36f8qaX4Pl8PoTBNu03Cra2DYIDQQTux/FtlSHOIbW/+GCaOwwn4zRLRlhrw+/nkrCkUvWPSyVftcEVmb8ZDwlG27Owy7U8rIRiA3Byc0hKYOA4J+HECfuOa7QhOYQHOqJEwphzfyFLU06+Lz3T8AZy8PJxg0MyaolEkGDBCpiVFONtvYwxSYUFb7p3WFhNPpC4s/gT8Ptx64xVmDFS4s8KCZ9T6yx08sd9nQg8bo+bv+exHovDhL3bq8XmxPFFg4ph8o8sJzRyHr5Wtx+3alfRKBhGRX2KW3hZ75UIR+UWK5hdjvJq3EZH/YJbTzk/STj3R546VUdJcaEzX+OSrascc4cmTxViykuq1t9K06ySadp1EuNCHu9tMPr1wB0JFPor29vYgVNHlK5C8PJyCfJyRI9DWVra5+SOue/5RGJGGSvMgUf3BL6g88C3+t24yWlNrZmolxXxwcYnZh3EVZ8xoxO/HbWjE3bSZuh1HmiUvbz/ImTwRZu9IY9WuxnB5+zj+0WW4s6ZRudtPCJcXIvVNOMWFSEE+TlGRMSAeTl4eJ7z9EYSNwTFGqhAcMcYpcc9JXTQa7bOjQUdiy2M6ZTzRjT1fDZ/4f2+z3Q8WUTXt4u4bd4HWNxBcsYUpN7/bp36GEqLplQzzJWCOqt6jqvcAlcCXkzVU1TeBL2ISy30X2NGbbHRksYh0Uq8VkRNInSW1Hekan40isg1tU7Fv4SWBswwdXnr6Ml56+jJeefT7zLnj3+w99338rUrZmY0Q8KPNLWg4gobDMHkcN73yOE5RESf+503G+yJ8+YnXqJ81iqoJyb4IDT5v/2p3yi6I0LzfDHTKOAhHmPWrTaw6YTt8UydBYyMaCuM2NzP+X0HWz3agqBBcxRk7msYdyvBtbqRwWR06shhmTkNnTsGdOBqn2cyOQiUByM9DxIGiAvBUpGMGyG1p5aHZs/jw4gloNIp/2mR0+gRjAKPR+GwqTn/PehJonFaEk7ikmCbzG+6Px/aku2xXsddPqRrX5nMUc0zQ9RuRsaPjKb6HNek6G2Te+IDZi4nR6VukiHwjVoAjMGKhM4GvenUdOQ84V0ReFJHfeOUl4ALM0lu3pGt8zgX+AGwvIqsw3g/ZmfTFkhZv1U1i5Y9nEA2KCYxcvtIYnmiUdY9OhojLJjeXiv98xk/e/CoBcfhiwUfkbA6jTc1U7nglVTMuo3LHK7u/2ADxyqPfJzK6mBt+/3ukJQKRCMf+81+Mf34ztbuNNrJCjrDAfZx797qXpZddRGT8CGTbyeQ/3Ere5w007DCKjXuWEi4vpG6HYqQpxJJTC/jsKh+ysYb1u/sh6hLZbhKtE4ohaJbo4vs26oIq2/98Gf4J4yAUxtnSiLa24isqwg2F2s10eiOBky7//uslPYrTSvwS8ekpk2jYbXwXrdvzjT8+D7k5nfYB59XeM2wz43YmTWeDbhwORGSSiLwgIotF5H0RudCrHykiC0TkY+/nCK9eROQWEVkqIou8zKRd8QvgLRG5T0TuBxYC13Vo89UuSqc9IlVdqar7ANcAy71yjarurapd5xLx6Nb4iIgPOEdVDwfKge1V9UBV/SydC1iykx0K1xLNdSh6dwNLzxhvlok89+Cxl7nMeHA5Y33NHF64mG2uj7DngvOprt8Z98cbOXfh60TKClh9Yw7S1Nzn5Zq+sOA/P+Inhx7F+gPL0NJCTp7xCvPeuZbiBR8gwWAnDbW66Xng8/HG4mls2qOETTv50W9tQkXwtSqaF2DkOz4++PpVUJBPdKdG1O/DV9tEYHOzWZKc2P4h7ba04tY34G7YhI4sxl23HrellWi92Yud4zsmvt/TEw+ygUZHFnP4F38OQNFnymHX/ovIdpO6PW//Y37Dp63lrK2alFVLsRmhf2Y+EeD7qjoL2Bczo5gFXA48p6ozgOe89wBVwAyvnAl0GVylqn/y+v0rJnfafqr6aIc2p3ZROm3geYbySuAzVf0/rzzX7Z0m0G2QqapGReRA7/XWo1A5zDmkcDGP7ngIgfpStvn5IhTwjRpBdOpYmstyWXLWdrz4x884OP8Tjnr4Of48e1sq3nuP/aZ/zDaBJlYclscNsx7h0pNTpw8YLKqX/rpTXao0Ba89YAzl9YuruKP4AAr+XcCmz0dQ4kQoufBzIhePJFQMVTMuQ3MDFOS3Ei4v4LNzXMqfyEO2Kabo4zp8o0bg1tQhwQDRhkZodY2DwWercfLzidbUtHPb7i/B0/5kxVfKmHzXEipyj+d/LQ/x5ZeXU3ZD198pDz3sl/zu3ltpdIO8/dhIqrM0GHnQ6IeJrKquwdvGUNV6EfkAE1N5JHCw1+x+4EXgB179A96G/6siUioi47x+4ojI9qr6YcLMaKX3c7yIjPf2d2JtT1DVP4pI0m+SHfKtAXwb43T2jIhsAv4EPKqqqTKkdiJdhYO3PB2fx0kQjUvIPGoZYvy1ZjaT/7LWuFu3tOIbO5rtn1zLyiaXjx6ZyV2/v4fp/gibXSFHwkQbGlgbLWKkr4lV0SDPnn499a7Dnaf8np8fcgRVd57fbdKxbOKyWdUsbzmBwu1aubT8FZyvCocsPI0v3vExD499iYPd7/Pw937D/IYdGXNnLWH188gNc8EBDfhw6+rBEdzmtoBuNxTCF/ATbWiIL685M6ci6zcRra3rd0eDvvL+Ly5i+rjfMOF5sw/1/rtTmPyMS9U7F1G9vL27dGXJaYRmz+TGe39PQFxOuPNcsx29NaP0xJOtzEs3EOMOVe1kuUVkKrA78BowJsGgrKVNLXoCsCLhtJVeXcd9+IsxM6PfpBh9YhKMAu9nWpuGnqL1O8AVnjv2MRhD+AnwsKp2u/6brvHJxaRVTRysYqZxA4KIVGLySviAu1R1a1lIHnAqZl9Ny7g9WXOKH1/zWKbet5wfvvwUuU6EN/OmUHHee0z3R2hVl1JHGOuvxT9+b7774l78+qBHOSB3DY0q5ItL1NfCp6d0v1STjUzIqeG9+vF8HM5hvK+ZJ3e/k381T2FpOEDjFJcgLueWfkSDhnAQmh54kRue+zI777Kc0FzFmTAWd+VqfBMmEF252gtudeP7QU5+PqxcQ6ShEX/ZyAzfbXL+8NW7uOSTM6kc+R12KCyIewImY8x1y/i/9YdxzKjXePrs6/nukWd23jnYyuiBJ9tGVZ3dZV8ihZhlse+pal2ilqaqqkjP/OZU9UzvZVVH2RtPFiex7R+8nz3Keuqd8yrG8PwduBH4HSY8p0vSMj6qOqhrK94+0++BORir/j8ReVJVFw/mOIYjVRMvYMrfavmkfhRsGsHEG4XcRyKU+lrIFZepwQ38cf3+7JP3KT6Ech/sGKxl16dX88eyvxJWF58Iubi0eBuppx31DC9UbgdXZfjmesi0nA18q/hNPgqXARBWP5MDm7ns7LPJ28Xh67dfSv5a5c8//TVN6vCtog85/Ruf8kE4yhXOwVDfAH4/umkLkpOD29yCNjWZFAclJoBcm1twgsGs1TybM+0DRn7wK6TQ++Lb2Azl7Q1l1cQLkH8Ucc3ExykQiKKEFT45ptQcn/VDCEeo/vh6Kne8knnvX0dlmXnuZatGYL/RT/4jniTNX4CHElaU1sWW00RkHLDeq18FJH7jm+jVpeIVoKNTQrI6vEShN2P2iBT4L3CRqi5LMe69MEtw3wQ+xTimpZVrPi3jIyK3JKmuBd5Q1b+n00cP2RsjUrfMu/4jmHVOa3z6gdce3I09TlhE5IaxNF29ifPG/YcPQ2PYECnmsPwlTM3fxOZoPjVuPj9duS+jc+p5+YHZXHDpKwAUiZ/VEZcxvig+orzwzd3Q2nUZvquec8NHc7hiu2pG++opkDBTAmZP5nd/uIWHtuzL5WWvsSTs5+Cnvs+v5/yJvXJWsyES5toVRxI6cDK5H61DwhEkPw/x+9BVa9CYE1xrK05hAfM2Z7/kzNduWcDv//xltnlwHeTlwobN7Y5v/9R6nn1gH94+dxxfyF3DWF8Rs24/mxmPbYDLYPWccko+jRjvudZWYCswOv2ImCnO3cAHHfZWngROBn7p/fx7Qv153nNxH6C2436P1+9YzHJcnojsTlvW6GIgP8VwHsZ88f+69/5YzH7OPh36/jlmqW0z8AhwgKqupAf0ZNlte9osWszK7Soih6jq93py0TRItqa5T8dGInImZk2TyZMn9/MQhic6oogRH4VZuHYSP77lUcb6alkRGcWM4DpG++qZ1ziLXfI/x8Flkn8zq27YlqUjfdx45e0Uih8XxY+PKX4X8OESRVcbwzM3eBzPhB7O7A2mSdXYc7jk3wupj+YxNbCJP9fO5rlrDyR3U5ib7/sdk3M2sSwi7BCI8o8v38S/mmZQH1xHuePS/KVmcnxLE9I4CDQ24ysbhVvfgLa2mhQVwa5TEWQLF27/LHdtuZGaPcopXtoAxXntjj/zyD6Mfi/EoXnrcBG+/emhTLtzGXhKEeMeeD+lg0eMqu0uH5Yu2P0UQHoAcCLwroi87dX9EGN0HhOR04HPgKO9Y09jAkeXAk1AqpWpCuAUzMwo0ajVe/0nI19VE78x/VFELk3SrgWoVNWPU99W16Qb57MLcEjMpQ44HGOMvg7M7e3F+4qq3qGqs1V1dnl5eaaGMWSoGnsO0hyi9aLNXLfj3/jtJ3OocfNZFy5huj9CjZvPlwoXsyFSzPJwGd94+gIKPmug4NjVrAiP4rXWApZFhC1uC6ujLk0a5Y+1u7Lpmzvx6fd3BozMSlX5WVRNzO4s66HtJ3L/qv04NP8TVkdKefXs2RSsauaPD9zC5mg+f1+7K5uiBbzWapajJgU2sTZSRK740EgECQaQvFzm1d5j1BUAt74Bp6gQ8QeQQAB34+auhpBVTLh3MWsqI6zdvxhnTXuVhJ2OXMJev34DH8JVaw/hS2WLWHnsdPD7qJpuci1UbXspVdsme0bBYYcYJZfe6M5lPf0Q56Oq/1ZVUdVdVHU3rzytqptU9TBVnaGqh6vqZq+9quq5qrqNqu6sqm+k6Pd+VT0EOEVVD0koR3R0FvNiikYC1SJyuYhMFZEpInIZxth17PuavhgeSH/mMwIopE1grgAY6blht/ZlACno6ZqmJQ2i08bBwg84fFwze+Vs5PJt51HstHBgwUcsDuVS5DRz4/pDWdVUyqd/2Yabz7+fFQeP5JErv0TNdfnslrOCiX7luCO/i9PQYvYHWlsZObmesn83wchSCASyQ0mxG5578Ydc/d6R3FezNw/O+yLbvrEQZ9IEPgnn89PTT+NX994OwCinlUb1Mdm/he9+cAJ3znoQ2XYKbKolun4jANHNW4ySQV4euMZzLLTDRJ57Pjt08NJh3uY7mfXDG/G1wAe/GE/V2HOoXnsrAI/udzsPfrwvB91wMcE65Sc/fZ5b6qB6ze+pevlCOHcMhKIpZzbPvXAFdasn8/UTTOD7/E9ncdNBc4g86OD7en23s6asRfG0n7MbVf2LiHwZ2BGzihWrT8yPvhBzRzFLmejLqBhtz34l3ZnP9cDbInKviNwHvAX8WkQKMKlZ+5v/ATNEZJqIBDHrjslStlp6wDP//TG+ESVUFb/DZleY5N/MObedze/WHsYz9TszwVfPheXPs+H/plH6SYTrf3AiXyr8gB/ecB9PnnUoLzZtxwkHfRtnSwPqGDVnLRvJQff9j8WXlRGeOQGKCnBrakGVirwTqSg4iaqx51CRd2Kmb78TT/7uYMr89bz47V8jwSDRz1by87nfxN8Y4pY1h1MsIfJFWBYuo1ED/Hy7v3L/5gOQLfVoSwtOQT5znKPaYnmam3EbGnFKigguXtHN1bOPiqNfo2FuAzNvDcfFV2M8cPJXGL9gI+XPr+aUuacS8fwTdi1dhbSEoa4+SY+YzLPAV884j+Dnm9n9XOPC/ZtX/oz/26F2bYYiQ0HbTURux+zPnI8xLkcBUxLbqOo0VZ3u/exY0kqL3VPSzedzN0Zo7m/AE8CBqnqXqjaqavK5dh/wckich0lq9AHwmKq+39/X2dqomnQhzbtPBWBTNI8oDveccwtnjH6JM0e+ykfhMo668VKiOcKWMxqonerwastk7l5zEMGP1zDv63vhFuUz7bE1uAU5/OGJ25GmZu549SAk4LLie1FqdhvVljNnTFm7HDPZogkX483bL+KfVbvxr+bJuM3NOLk5UFvHku/kctn4eRQ58FrraIqcZn76jROpd/Mo9pklNiktMSkc/AHEHzBxPX4/bksr2twSnzUMJWbkraPssXycphCS337fZ8ErP0I/XYlu3MTZ//gnwVrzRH3k7dmEJo7AHVsW93CbeuevmbvftfFzqyZ/D/+la1lbYZQhdg3W8H5oLLf87wkqXvkcMKoJQ1IJe2hou+2vqicBWzxX6v0wum1JEZGdRORoETkpVrrqXEQmiMj+InJQrKQzqHS93QQ4DJiuqteIyGQR2TuJ0nW/oSbla7dpXy09o3m0kfl/p2UyX8j/mLVuEfkS4sB5F3HXoffyz+9fT6441LhKy+4Olx3ybQBCM0fitEap2T6fP459gbcfXcjXfnUZX/zr6xQ2N1N/dhnfevxFfvvGNyj2UhKgihTkgypOSRG4LhV5J2ZV0jEtLuCe047AX/gp2tyMFBcx60ef8fZBE7n+gwrO3u5lntxvL5ziOu5bcwAfzt+Wqe6nEAqbB3RzMzh+iIIEAkgojEaGpuD7Odu9wM073UjJixvRcOd7iKVQqBxxBv/bYgLhZ56xCAn4jYOFx/LvXArfMa/nvd22slN5wZWc+sQzfPu0Czn8t/9ign8LL26aycS7PmflYeZ7cNWE9sHKVZO/B0D15zf15632H5k3LOnQ7P1sEpHxmJjNcckaishVGFWFWZjnbxXwb0xqhWTtf4WZVS2mLemcAi93N6h093xuxaxuHooRkqvH+KTvleb5lizA3VLDUVd8yNpICTe8XMWtn3+VcYet4M4Zf+JPh99OQFxWR3L52edf4edTnyCIy2H/WMTv3jiEyX/28b3fPsaM4AbmNU7i4PzPuPPSm8kV85A6ffeL+cuX9mVK41IoH2WyijoORKK4NbU4eXlG6BOoKDipk+Zappj3zrVUTboQddsW77V8BC4OvFhK6awmZEwZiNDynTwm59VAfh7u6rWmcSyDqKsggm/UCKMKPkRZ8uOLqPrd2SZeKQWJezRObg7qumm5Vs979zrgOo6ZDzd+8BxrIyX8aPJT1ETzqHnTeP7edPlxQNvfiBYVdNFjZsmGJbU0eUpESjHZR9/EGIdUG23fAnYF3lLVU0VkDPDHLvr+GrCdqvZ47z/dPZ99VPVcjHsdqroFGBp+pJY2IhGevuAQwurnH1U385WjXuGUia9Q7/qZ5G9mrK+VMb4WfjX1r4TVYXmklL9cO5fzZr/Axp38TPDXUBPNZbfclbSoEFaHIC6n/+hiRr5dYx7Ajpe/pr4BwmFTIhFjeHyOiaAfQGXnXlFUYOJyJk9E6+ph9XoeOXQvEHjwkH2hvhFduwEamnA21+OuXotTUhxPLifFRWgkjBTkm5TloaFrfACq192GGwoxxzmKOc5RXbadV3dvu6RyXVE16UKqJl0IwEU7PMPF/zmGZSHjpbpgy078r2E6xf9eFk/Zvv/Rv0Fq6pj3vpFRyEoPyiGQTE5Vr1XVGlX9C2avZ3tV/XGK5s2q6gIRESnGBLZ2JWGyDAh0cTwl6c58wp7qQCyfTzlDws/Dksj8loeo3PFKLnvpKPI+D1Dxtdf5Qt5n+ATyxcc7oQKWhUazf94ynm3Yke1y13DptX/k+p+cwB+u+z25EuHYf5zHX464mRvWVHDe2Oc46/QLGbVig/F8y82B+jDRDZuI7r8TwZVbTLrpYBD85k9NQ6H0v/IMFg1NOGWj+Oi7Y5h5h+CuXI34fIx5oxlaWtFIBG1pRXKC4ASRYNDE8gQCSDCAu6UG8QdwN2wEvx9xsu0Ge46vqMgIpqpL1ZiziWzYCOL0SZVba+uYV3dv/H3BBzlc/6/jeOSqX3NAyceM9DWwcLvdCWxpZn4HbblsZSjMfLxn95eBqXjPfBFJJhYK8IY3S7oT4wHXgFE5SEUTxhntOSA++1HVbr8ppPtfcgvG0WC0iFyHWQP8eZrnWrKIee9fx8y7Q0Tz4KXV21LgONyxeV9WRoTloXJ2zjFByl8pWsQFLx7Hr398Aj/92d38vXZPpvjBzXXxoeT5jKfS3ffcxPlP/wOaW6C2DrepCaewgMBbS9ENm8yD21vSkpwgRCLt9geygtZWiEYZ85rirlqDM2UiFBUSWPx5WyCpzywhakF+fPbm1jcguTlm2W3WdCQYRHJzzJLjEGde7T04AT++0lIYWYqTn4/4fFSNO7ddErke9ZlgeAAmvFDPqHfq2RDN5bpFVZz34glcfd89tIxPrm1ZvTKZ0EqGGRoOB//ABJuOwgiHxkonVPUcb5Z0O0be7ORu5NWeBK7FyPUsTCjdkq6220MishDjdCDA11T1g3TOtWQf/rU1zNx/PYeXf0gOPqqK3yEgLtsE11Pua+HFpm3YPmc19x56N9979yxu/Pq3+PU/7mFxOMgPvvA0N6yp4F8Lt+eCrz7PucuO5rPNI5jU/Kl58IqAKm5zC7LjDGT5KvNQDgbMXojPh1tbl+mPoB2RjZtxdtue4iU1SEmxWWarq0fychHAbW5GfD40FCJcXkBw42Y03AqRiFExaG5BwlE0bIJPhwvzWx6Kv64oPNl4AzoO1av+j4qCk8AzzIntgLhbfXeOJc+8+hOqpl/CtQd8hW2ia03c0NQ1zPrrIqq2vTRpqoysYujs+UxU1V3SaSgiz6nqYQCqurxjXUdUNb011yR0OfOJRb16ka/rMRo/D2ME77JTptfSLeGJI/jkhWk8vHw269wIY33NfBwux8Hl9k0Hcv/3jsCHcuVHX2fcizVIa5hzP/o2b7dM4eD8j9i+cC377fERueLSHA4w7qYgTl5efK9DW1rxlRSbzKC5OSZRXVOzOe6qaZtl5N+yEVm7keiGTeD3nCWibSvLUliAFBYQ/GQdbqO3Ge/zmfTbIiz5zggk4MetaxjSDgepmN9wP/Pq7o17os1vfMCk7Pb7qSg8Od6uovBkJDcnbY/G6mU3oHX18c+sevmN7FSwijVV46kak1Y25swyNGY+1SLSpRKNiOR6z/QyERmR8OyfipE7S3XeDBH5s5dcblmspDOo7mY+iVGvk4Et3utS4HNgWjoXsWQXgQ9WMHWxy5KbpvGnmtl8sfBD9shZR5MrbAgVkre6gdvXH8ymN8ZQ2riW1kkj+M7kv/GTeUdx6+cOE5/eiGzawpHHXcbYVxvxb6xFW1vNw7ilFQn4oXwkpS9/BgX56Jp1OMVFRDxFAF9uToY/gfYsiD5K1XaXQ34IX0EBhELmW31RITS34IwuJ1pWjLNkOTKy1MzkcoLQGkK21BPedRum/S2M5OXiy7YlxQGkesPtneokN6fHoqIdl+OePGAGwT9ugGdL+zK8wSHzhiUdXgWeEBEHCGOe4aqqxQltvgt8DxiP8YiLUYdJkZCKezF69jcCh2B05tLazumyUUJ067PAV1W1TFVHYXJ6P5POBSzZR/WG2yEc4fYDHmRhzWR2CjZR7zq0qA+fKNc++QCLNo5nz0M/4MOrSvHXhyj2tVD8iYNEoX6HEWgoTPSgWvzLVpu9kFAIDYfNHomrZtbQah7ibnOzSb4G+EqKs1JORTcYPTPdUoNbPsJUFuRBbg5amItv/RYzi8NzmohEjcEtyMP/zids2ikHt7YOt64BAoGhGTDZD/RGzXpu8Lh2n9e8jXfweuXPYXNNP45sYBgKCgcYUdH9MKKhxapa1MHwoKo3q+o04JIO6ga7qmpXxidPTfpsUdXPVPVqjHNDt6Tr7bavqn4nYaDVInJ9mudashApLuKaS0+j4uqXWRzKJShRAhLljXWT+Kzh6xwyfin7F35ESzRAywr4uHUMOTVKweowOesaaJ29LXk5dZCXi7t6jXGvBpyA3xigzTUwooTop58ZT7CWVhMT0joQUoD9wKSx6Kp1SGEBbo4Pp6SYyJKl+MeNRZpDaHEB4vhAXYi6Rlw0JwdduwHJy2X8w0twfT4zYxIZsoGmA0Wiy7YTDLbbJxKfL27YE8nWHEjtyLxhSYcVwHuqqUUXReRQVX0eWCUi3+h4vKMQaQKt3ozqYxE5D6PBWZjOoNI1PqtF5Ee0BRsdD6Sdq9uShQQCFP7zHR48Zm8O3GsJbzRN54SS97liu3n89L7j8P2+nvfGfwlpbKJ517Hc/fC2NB8SYvsb6pD1m8kNRVhRX0B5zTpjeHwOkpuDtgCtrUaupqgQp6jIuCU7AiJpx4QMJnMDx+KbNNGkxA5H8Pl9aHEhrHbAcQiPK8G/qcnsBTW2mnstyCe6fqOJ7s/NiRsbjUa7VLOuLDaOQx2XmoYrMaPj5OWhoVA7uaUYQ9ZJIztmNemwDHhRRKpp7w6d6Gr9ReB54KtJzu8qa/WFmNxAF2C83g7B5B7qlnSNz7cx63pP0Cad8O00z7VkIdXLbqCi4CQm3eHnv7Nm8Phth5Fzfpi7bziCKQuMi7H78af4RpeR91kNUz9sMTEvTc1QNgpq6hjzeBmSEyRaV4+vuMjE9AQCEIngFORDOGz2f6JRpCitL0MZQfwBtM544EluDrS0Ij4fTl4uhEIE1taB66I5QSQaxSkfZeR1fD6cUSOp/vwmY8CmTDIxQikepnP2/xlD3wk7PeY4R7HA9dJ/iYP4/cb4BIPt1CQAo4IeGLoGaAjwqVeCpBAHUNVYHuIzVGMpEbtHVf8HICJuTzNep+tqvRlj4SzDiWiU4GtL+HflNozZ/Bb/eGo3bn/5Zr635Tzy/7rSfEttDVH57GJufutQZpz2AaiLjizEWR+hsHoRbmwmL2KWnAJ+1FU0HEHrGsARWr+wI6ESP688+v3M3m8XaEur94AMIzlBtKYWp7SEyJp1+INB8PuQpmaz3KZqMn46QnTteg468tcUjB1jHBDy87tMKbHkup3Y/v/Wpzw+HIjNduYGjo3PdFwvvXg8bioREXCcuPt2R9ftrGYIGB9PTDRdPhWRecCjwPNdLdUBiMh+mCyshcBkEdkV+K6qntPdhbpztb66uw7SaWPJTuJGorYODYWIrFjNyW+egqiJcAc467VX2T9/KWOfyMEZNwZn1Eicz9YaQ+MtNfkKC0wq6RElxtFAXSQ/z8jPBIPkvbWc1uIsjvp3xBu30Wdz6xvMvo7nJKG1dejmGrSmzriLR10zO5oxlZaq3QGoXnEz1StuBk8NQVva723NcY7CWfQxJx/yMmyp7TSE4UJl8aneTCdgDI23FxgzPG5LK26HzyZaX4+7YVM8bmioIGS3w4GI3OT9/IeIPNmxpDhte4yD2bkYQ/Q7ETmwi8vchMmYuglAVd8B+kXV+gwR6SoiUDC5dq5O52KW7OKZ0MNUjjgDREwQpRth5IOFrD7IYcb8KOLzcetRR3Lkwy9T8uZaaGz0vqWKCRQVB6e0BLe2DgmHwXHQcBjJyYFgEHdLDc7IEbgbNlL+6sZM325S5gaOjSsTaCgEoRBuOIKEI6AuvsICNBpFAgFzHJBIxCh2r91IfjTKpz/NYdenfkzt5kK295brEjfL4/seRYW8eMkscqa2ZOReBxsnJxeNhFFXEcdTuXAEjUbbL8sBOIJTOjihgxUFXWYISB8FyW6RsViw1Q3pnqCqTcBjmPTdI4CbgZcg9Yqxqq4wiQ/ipPUtoruvo3fSXo6hYyn02liGKPO23BX3QBNHyHviNcbvuJYDXt2CbDMV5/N1XP/sV1h6+nhwHNyGRrNE5XkoaUOjt5kcNhI7YLTcGhtxiosgPw/JyUFqGzN5mynRaNR84/b2IdxwxDhHqIu6SrShEfGMqlEwCKKNTbg1tUQ31+Au+ZQpx34IQMnIBiQ/j0iCw8Ec3zHms/IHcOvqydk0fA1P3KNNXfMZ+toeL+qq9wXHTAPE52snXKqhENFJ5UQnlQ/6uPtEFgeZqmpM5mY3VX0psQC7pTpPRL4oIrdi4jxzgaO7uMwKEdkfUBEJiMglmBxs3dLlzKeHa4U9QkR+jfGsCAGfAKeqao137ArgdIwFvUBV5w/UOCzE0xtUFJyENjdTdEoLL8w6gJUnBJn+0+Xs8Js1rK2aQM3B0yl5bzOysSa+tCQFeW2K1ZiHipGdCcCIElTMN13dvCWTt9glTklxfCYnPl/827n4fDgF+V4Mk1lidBubjCOCz4eGW3HycpFAgLICY1wTc9HEMMtPijjCmi8Us+i3Fw3q/Q0GcSMS+5zCEfBmjzE0inkvTtwIxRCfD+ezddTvN7Bx61UTzmd+4wOI9FNOqX4yLCJyDyZ+cr2q7uTVXY3JjLTBa/ZDL89ZT5+RJ2NmMImckqQOEVmOyVT9GHCpqnb3rfEsr58JGDfrZzBLdt2SrrfbQLAAuEJVI15CoiuAH4jILMxS3o6YaNtnRWRmTzwwLL0jpmEWWb2G3NwcptUU4ZSNYsMh4/E3Kadc/SS/efxrTL3mU/OwKCwwLsY+T4omaDaONRRCVGmcMYKCV5fhhsLG+y0LEZ8PbW7BDYXacvN4aDSK29CAk5+P29KKryDfPFwdBw1HcIJBnIJ8otPHE/jm52hzS1varlj/jgA+s/fh91P6yfCO/3FbW8xnmmz/JsEQiSOo67TViwOBAEVvrhrQ8Wl9Q7/214/7OfdhlAQ6Jrq6UVXbLZul+4wUkW8DxwHTOuzxFAOp4gF2UdU67/xtROQ44FhV3TFZY1XdiAm96TEZMz6qmqiQ8ComiRHAkcAjXnKiT0VkKbA3Xct6W/oBJxhse2g0NuFraGTdPSM5b9u/8lLNdvzitSq2eb5t2cj1Eo5JMIhGmtFQyBikcBhtbqFxtJ8Cx8EpLkwa35ENPBN+JJ7+GTCu4a6iUW9/x5+L29TkLRm5aCQMITH5ewJ+3MYmfGu3UL05+eqz+HwmnUQkgkybSME7wz88LqnhadfAJb6FoG7bF5maWqQgn8qyM3ullJAO/R5f1U/GR1Vf9nTU0iHdZ+QrwBqgDPhNQn09sChF34UicjrGaO0M/AJj6JIiItOA80lI1+DdzxHd3UQmZz6JnIZx7QMzfXs14dhKUgjbiciZwJkAkydPHsjxbRW4Ccsk2tKKjC6j6X+juP71b+IGISAQWPQB6vMhBXloYzP4HOPZlRilHnWR0hJKlrXiThyNs6EmczeVBm5dg1lu80q0xRMO9Ty0YhvmblOTmQU1t8RVG/wzp3cvAxN1weejdqeRlL6WpQoPvaS7ZHOpMJ+poFHP69IzWG5NHRoJU5F7fPa7XPfM4aBMRN5IeH+HqqZjYc8TkZOAN4Dve4k803pGqupnwGcicjhekjgRmYnxaHs3sa33LP22189jmCW9v6ex9fI3jKv1P+hhjre0/F9FZKaIPCci73nvd/EUD7o771kReS9JOTKhzZVABOjxX5qq3qGqs1V1dnn5ENuozFJiMxQpLKBpm5HMOHQZU/+2hcLPwQ2qCSTNy/WSxAVMQrXcHJz8fOOGnJdrjFDAb+JhAK2tpzqLk4M9E3o47hbstrS2LQOpa+o9g+x4SeScgB+nIN8sqUVd3LqGuHJBJxJiW0qefh/dlFr9YCgxx3dMrw0PEHfoACPJ5DY0xj9ryclB8vN7pI9XNfWiXucZ6hPpOxxsjD2rvJKO4bkN2AbjHLCG9rOXnvAykCsiEzB7MidilvkS+R3GHhynqj9S1UWkN69rUdVbVPWFDg4N3ZLuzOdO4FLgDwCqukhEHgZ+1tVJqnp4V8dF5BTMJtthCcFMq2iftnWiV2cZYMTna5v5NDSSv3QTnz0xnQmt6xnxUQvFyx2kpMjEvITCOIUFuA2N8Yh+DYWQhiYkPw+tbyC43IHmZrOfMgTQaNQ4GiTGqMQ+D+8YYPaGvOO6eUtSXbIYbihkHBQiEZQ2546hzBznKPMZRdx2nxHQbr8n5d5PDG3zMATMkqY4ODGNvJ6QY5QpBpuBjOFR1XXx64jcCTzlve3pM1JUtclbTrtVVa8Xkbc7tBkHHAX8RkTGYmY/6chO3CwiV2GMWqJ0z5upTzGkG/mXr6qvd6jr086piFQClwFHeL7lMZ4EjhWRHG89cQbQ8dqWASDx4RutraV5+khCReAW5BBcU0egIYKWFBpXajxjEzQPag150f1+H+7okUT/XMCW/caB4wyZB674fPF9r3Z7VNL+38Q8JE1slFvXgJSanD5J+3TEzJamTIp7gg1l4l5tHYxzjG73e5KhbnuvuFDIxFEFg+1yBXVF9ZJfUr321p5fu68MoKu1iIxLePt14D3vdU+fkeIpERwP/NOra7cJq6qbVPV2Vf0iJmloDSZv2wci0lXW6p0xHnm/xMzMfkOacUXpznw2isg2eB+jiHwLMw3sC78DcoAFXoDSq6p6lqq+LyKPAYsxBu5c6+mWGZYfByP/AxKKQCSK0xhCaurjx7W1FcnLM99SVZGykeiGTTitYfSKkbz63+yV0+mI+ANm/6rVLLtpJOGh6i3Dxb7J+wryiTY04oul1PYcCpKhrprzGxo7PaiHMsaLz3OfTkGPDZE4nhecGmFan89oBWYr/RjDIyJ/Ag7G7A2txGhpHiwiu3lXWY7JuUMvnpHfw3gTP+GdOx14IVVjVV2JZ0i8PaKUDgeY2dJ0Ve3x8ka6xudc4A5gexFZhRGpO6GnF0tEVbft4th1wHV96d/SCxL2OsQfYNS/gox6t561B42ibFGTEdh0fBAM4JQWx2N9nLHlEI6gAT+67SQIR3nmvz/O9N30DHXR1taUD8zYw9ZXkI+6blyl2ykswF29NqU3n1nKFD47ZTqT/zC8nA36jHRwtcZ8CRCIO7JIbg4VBSdl5exZvNIfqGoyoea7u2if9jPS24N5SUTyvffLMCrU6Zz7EXBNF03ewyQX7bFgYVrLbqq6zNu/KQe2V9UDY/m9LcMM70HgG1NOyfJWWsbk0TBF8TWGjApAYyOEwmhTc9zwtG47GgJ+rvznozhrNjHv7a7+VrOTZ8KPdFpeSyS+FOcF0fpKS3GbW9DmFiQnJ6ULrzFSDlPu+ihr3c17Q6+W1zp14naaDWo0ilNaDOrNGEWMXFOWIm56JaNjFNlPRBYDH3rvd/UUDPqDUuBDEZmfhm5cO7qc+YjIxSnqATrmg7AMBxLW8XPe/ZzGOdsy7Ykmlh5XwszbmkyEf2GBWZ7aYVtc4JNjHWb9KsDP53yD6pVDN8dgbMO74wPRCQaN04S6Zj9CHCgqxGlthWCgy5iUrHcX7ikdnDD6s8+Yo4dbU2f2EkWQwgKjlpGtDAFVa9rEP58EUNV3RCQt8c80uKr7JsnpbtmtyPu5HbAX3uAxsjjWCWCYIj6fEQUtyGfEoi3Iuk3MvEFMPE8kYiL5/X5WVpQy6elNBDcEcIvzWDmnJNNDHzg8l2mJzY7qG7I6R9GAkWLfKm6gk5HEoLc/7MX7eMbfbW2BUAj/SC+deQpnjqxgaBifHol/ei7ZU2gfNPpyin7TcqtORlrabiLyMrCHqtZ776+mzWvCMkxwgsF4wN/yn8xm2nVv4awTops2mw15R8DnI1pfT+Tw2eSvU2p3GsG296yleZtRNGwz9L25wKgxu62eSKr3bdwJmH8VjZgkchoKGRfrIeJG3l8kfjaJdOlO38HwdHTBbjeDijl3OEJk8xZ8JcUwspiqcedSveb3fR5/vzJ0Mpm2E//E5GZLKv7pSZ0dg3FmiP1iYglE+5V0HQ7GYARAY4S8OsswwhlRSmT9RlCXbW5bDkWFuPUNOHl5Jvgy0hZsGXxlMSPxFKwL8hFXmfWzNXBGRm+hz/iKi4jWds6344ZCZjM8GDQu06EwspUZHoD5zQ/2LbgUvL21rpfs4goITU04zSEoLuqyfcYYGsanJ+KfXwO286R7BpR043weAF4Xkau9Wc9rwP0DNipLZvD7cQJ+szHuuiarZzBItKHBrMG72iaFogqRCLUV2+OWlZK7bJNJCDaEWeA+TrSuvr3jQUzlwHstfj9Obg4yYwoajbbL27M14issNIGhwaTZmZMS8xxMeqyDU4YzdrRJ1dGcnakohoLDgapuVNXjVXWMqo5W1RNUNdU/6zLSCC4Vkee8n7/q7bjSTaN9nYhUA1/wqk5V1bd6e1FLduJuqTHeXNEokTVrzQMlpnnmdMjNAkhODqVvrGPL3mMo+RDmf5x97rC9ol0agIRofdcEPmooBCvXpTp72CP+QNwoq+saeZwezAK7ahuLi4rlQKI1hLZm7wxziCy79YQm4G3PuCQqFnR0zR7nLeUdISKP0MHrPB2Fg7SMj4hMBjYCTyTWqern6ZxvyX4qco/HKS9D6+pNgF9eXvxBG1MwcIJBsykcQxXqGyj9x4b+VwvOEAuij3ZeVoo5G/h8Jv4kFMYZN5LqZWkniBxeJMwGY8rm/YU4gvjMlx6nsAAiUdztJmdn3FgGE8UNIE/S5ljWFT8BfoyR9uno9azAod11kO6ezz9p+5jzgGnAEkw+CctwwOdDG5tAFScn16gW+LzcPP6Al4nSWxYRB1wFvxjPt2z2RuorMWWDiHEFdhsakYB/6zU8mJiomIGOOQ8Yrbdw8hNirtQdciUlIybx5OTn49bW0XrwLuQtzc4U7MCwMz6qer+IBIGZXtUSVe30i1XVPwN/FpEfq+q1vblWustuOye+F5E9gHN6c0FLdjK/8QGqJl1IdO06888fDCKBgPeN33vIRMLxh4z4vWVh1WEz64lh0oKH4qmfYwVPxXqYPW/6RMzwJC5VOjm54EgnVYI5zlHGeaW5uWM3nXCbW/CXjSSa66CbsjMLrpD9y24i8kVgiycGfTRwECZz9K3JnApE5GDMfv5yzC1OEpGTu3C1vlZEjvD6BXhRVZ9K1rYjvcrno6pvisg+vTnXkp1UFp9qZGP8gXgkf3TTlvhMJ57XBmOIJBhAIxGz/zHMcFtazX5XJIx6xQkGkRyTjXVeisRxWwuVO1/Z7r0E/JAgxjq/OXWK6nQMD5i/sfD2kyj4uIZ5W+7q/WAHmiw2PiLye2AXIEdEPgIKgXnAAcA9JM9A+htgrqou8fqYCfwJ2DPFNX6BSWQXi6a+UET2V9Ufdje+dPd8EpUOHGAPYPinZNyK0FAI/P74rCaWUjsu9hhz+IrNfkJh8DlGlmaYsSD6KHODxxmV65Ji8NSot3ajk0hsuc0JBtPWXVvgPh7/XJPFCrXr3xE+PUfZ5sbsldYxyeSy2PrAIao6S0RyMS7Wo1U1KiJ/IHUm00DM8IDRdvNig1LxZWA3VTP1FZH7gbeA/jE+tCkdgFFR/SfwlzTPtQwFxDEKwpFI8rV7cZBY5uPYslsKJefhwDOhhzM9hKxl3rvXcfgXf47v9aRxil0S+1wrco9v83pLkZph+i2Kb3Njn8ZaWXYmkptL9cpb+tRPKrJ82a0FQFVbROSzmPK1qqqIpNig4w0RuQv4o/f+eEwW1a4oBWJZEtOWOUnX+CxW1ccTK0TkKODxFO0tQwynuJDo5i1tXl0xleFgm5ERT+FAQ6Eul1Ysw59nX+r2i22XzG95qM2rsKOWXl4ezsTx8NFKqjfc3qfrzNt4B5VlZ/apjy7JbuMz2lu1koTXeO9TpX4+GxOAGnOt/hfQlQjpL4C3ROQFr9+DgMvTGVy6QaZXpFlnGYJUTf4e0enjjXqwOG3OBOKYmZAXWKquSaNtsfQHC9wO3129v73WL+xI9NPP0XFl/XKdeRvv6FFK7p4gml7JEHdiVq0KE17H3ifdSFPVVlX9rap+wys3dqV2oKp/AvYF/opZDdtPVR9NZ3DdqVpXAV8CJohI4ry1mD5mMk24xvcxme/KVXWjGPW7m73rNgGnpBOwZOkDBXls3KWQsoVhL5GamZFrJGxmOrFAS8cPPgfR4ZMawJJZnPx8iLq4rS3GkWXBaJrvDpA3fgxs6ixz1BdiTjXzG/pRnCWLv4vFtDnTQUQeU9WjReRdktyVqu7SxXXWkF5sUDu6W3ZbjVnvOwJYmFBfD1zU04t1REQmAXOBxGDVKkxa2BnAPsBt3k/LAKGOQ82OLqM8I6PRaFxAMjEeww1HcDqIQlosfcHJyyNaWxePp/poxRi2+8diqvvbw00HwEpkubCoiOwIbKOqT3rvb6RtT+Z3Hb7UX+j9/Mpgja87Vet3gHdE5CFVHYjd5RuBy4C/J9QdCTygqgq8KiKlIjLOs66WAUA2bWFydUk8EFCj0U6qzqjLgmhas2mLJW2S7un0KUdyZw475Be4+21P7uc1sGptv/UrZF63rRt+idmTiVGBUSXIxygUfC12IOH5eo6q/iCxE0+/rV1df9Dlno+XJxzMhtKijqUvFxaRI4FVnoFLZAKwIuH9Sq8uWR9nisgbIvLGhg0b+jKcrZrQrEms3cfs82iSPR3x+Tqvz1ssQ4TA+gaay/y4K1b3f0C0anolM4xT1VcS3tep6l9U9UEg1YbanCR1VakuICKdPI+S1SWju2W3Pk3FRORZYGySQ1di/MDn9qbfGKp6B3AHwOzZs7N4Apy9VI78DsHCAqbUlUKSXC3x7J4WywBTUXCSyZLbYva359Xe0+c+K8vOZN7GO6ia/D3caP9PU/pr2U1E7sE8Z9er6k5e3UjgUWAqRnHgaFXd0oN98XZ5KFR134S3oztc/2yMas30DhOLIuA/XQy9ncSaiPhIEZDakS6fKh2mYp8lFtKQ11HVw1V1p44FI9s9DbOktxwjTvemiIzFBENNSuhmoldnGSiCAaL5gbihSdTgWuA+bpfbLIOCbDO5X/urmn4JYAwQzS39Hx6gPSjdcx9Q2aHucuA5VZ0BPEebC3PivviZmH3xZKxOpkQjIvvSWSTgYUyG6ie9n7Gyp6p2WggVkStEpB7YRUTqvFIPrKf9NkpK0v1K26OpWHeo6rteXompqjoVs7S2h6quxdz8SWLYF6i1+z0DhwT8uGvXIy7xvZ34MZ/1arMMHvMW/YzGfaYjRYX9Mus569lnaZm9DeLz9TleKBX9lc/H007b3KH6SNrypt1P2x5NfF9cVV8FSkVkXJJufwA8IiJXichXvXI1Ri7nsg7Xr1XV5ar6bW9y0Ywxm4VeVoOO4/2FqhYBv1bVYq8UqeooVU0rDKc7V+veTsX6wtOY6eRSzJTy1AG6jgUgEMApLcHZUB/3nddoNK7nZrEMJv7GKIRTBd+nT9WYs2nc53jyXlpE9QAGRA+ww8GYhC/ea2nLHp1qX7zdl3RVfd2b+ZwHnOJVvw/sq6pJE1KJyFcxKRLGY2YxUzApt1NlMHhdREpUtdY7vxQ4WFX/1t3Ndbfn8zBQjfGYSIxarVfVjla613izn9hrJXWKV0s/U73yFqqmXkR4TBHyccKBDhL4Fstg8PxzaQXHd0nVhPOhuIj8FxcPbBiO0hNngjIRSZSpucPbs07vUkYSp8e3o6rrMZ5tcUTkQBH5iaome87+DBM0+qyq7i4ih9C1/+FVqhrP86aqNSJyFfC37sbWnat1LVALfNsb9GggFzMVK7TJ5IYJzS0ENjaamU+S3CsWy1BhzoHX4S/Ih7p6IwPV8lD3J/WBHpiDjao6u4fdr4uFmXjLauu9+h7vi4vI7pjn+NHApxhFgmSEVXWTiDgi4qjqCyJyUxddJ9u6SUu2LV1V655OxSxDhMqR36F19rbkvvUpAE5eLkRdq91mGZL419eha9ejrgv+XmWM6RkD62P7JHAyJl7nZNo28p8EzvPSV+9Din1xLx3Ct72yEeM5J6p6SBfXrBGRQuBl4CERWQ90pe76hoj8Fvi99/5c2gsSpCRdh4PYVOwjVZ0GHAa8mua5liwnZ31jPB2y29QE6nZOJW2xDAGqP/oV+HzmC1R/yugkIZZMrj+03UTkT8B/ge1EZKWInI4xOnNE5GPgcO89mH3xZZh98TtJ7Xn8ISad9VdU9UBV/T+gu43cIzHOBhdhcv98gvF6S8X5QAhj2B7BKGmntW2S7leDnk7FLEOEeZvvpGrGZXE1a41G26TuLZYhyKAln+vHAFJV/XaKQ4claZvuvvg3gGOBF0RkHsY4dJnzXlUTZzkprbeIPKiqJwJnqGqvNurSnfl0nIrdTNdTMcsQovrj69tUq2PYwFKLpVv6y9V6IFDVv6nqscD2wAvA9zCpFW4TkXYB/iJSnxCvU5fwvl5E6pJ0v6eIjAdOE5ERIjIysaQzvnRnPkdiplMXYZILlQDXpHmuJYupKj8LjUSMwGNDQ7zeBpZaLN2TzcKiMbzZzMPAwyIyAjgKEwP0TEKbohSnp+J2TODrdMweT+KMSr36LknL+KQ7FbMMPTQUMktt3p6PWNVqiyU9lCGX30pVt2AkyVK6eYvIgcAMVb1XRMqAIlX9tEM/twC3iMhtqnp2b8bSnbBox6lYXTdTMcsQY17tPUgw2Ja51IqIWizp03/yOlmBF6PzA9qShQZpS6ndid4aHuhe260oQTohsRSpanFvL2rJLuZtvjOeOrsrZ4OKwpOpLLaCExZLjCzPZNobvo7J39YIoKqr6SBQ2l8MgiO8ZSggwQDaFEZ8Pub4jkm65zPQrqsWy5Ajc+kSBopQopqCiBQM1IWsS5MljhMMJs3nY7FYkqDZ7e3WSx4TkT9gxEq/AzyLiSXqd+zMxwJg9n0CARya0WiUyuJT+z/xlsUyjDBBpsPny5qXJ+hRjGt2HbAd8BNVXTAQ17PGxwKYfR+AqqkXoQ2NEOq7srDFMuwZWrOaLvGW255W1Z2BATE4iVjjY2lH9fIbMz0Ei2XIMJxmPh5visheqvq/gb6QNT4Wi8XSG4aYG3Wa7AMcLyKfYTzeBDMp2qW/L5RR4yMi52M0iqLAP1X1Mq/+CuB0r/4CVZ2fuVFaLBZLMhQZfg46FYN1oYwZHy9J0ZHArqra6uUKQkRmYcTwdsSkcHhWRGaqqg27t1gs2cUwW3bzUmgPCpl0tT4b+KWqtkI84x4Yg/SIqrZ6kg5Lgb0zNEaLxWJJzvB0tR40Mml8ZgJfEJHXROQlEdnLq0+Vn9xisViyi1hahe6KpRMDuuwmIs8CY5McutK79khMkrq9MMFN3Sqhduj/TOBMgMmTJ/dtsBaLxdJTrF3pNQNqfFT18FTHRORs4K9eYqTXRcQFyuhBfnJVjauzzp492/4ZWCyWQWUYuloPGplcdvsbcAjEc40HMXnGnwSOFZEcEZkGzABez9QgLRaLJSkKRDW9YulEJl2t7wHuEZH3MDnAT/ZmQe+LyGPAYiACnGs93SwWS7YhqJ359IGMGR9VDQEnpDh2HXDd4I7IYrFYekg/GR8RWQ7UY2IbI6o620tH/SgwFVgOHO0lgxsWWFVri8Vi6S396+12iKrupqqzvfeXA8+p6gxMyurLB+IWMoU1PhaLxdIbFCMsmk7pHUcCsSRa9wNf63VPWYg1PhaLxdJLRDWtkgYKPCMiC70QEoAxqrrGe70WGDMQ95AprLCoxWKx9AoFN+1pTZmIvJHw/g4vVCTGgaq6ypMZWyAiH7a7UkJ20eGCNT4Wi8XSG5Se7OdsTNjL6dyV6irv53oReQIjKbZORMap6hoRGQesT3X+UMQuu1ksFktv6Yc9HxEpEJGi2GtgLvAeJubxZK/ZycDf+338GcTOfCwWi6WX9FOczxjgCZPFGj/wsKrOE5H/YWTHTgc+A47uj4tlC9b4WCwWS2/pB+OjqsuAXZPUbwIO6/MFshRrfCwWi6U3qELU5kvoLdb4WCwWS2+x8jq9xhofi8Vi6S3W+PQaa3wsFoulNyjgWuPTW6zxsVgsll6hoHbPp7dY42OxWCy9xS679RprfCwWi6U3KNbbrQ9Y42OxWCy9xc58ek3G5HVEZDcReVVE3haRN0Rkb69eROQWEVkqIotEZI9MjdFisVhSk2YuH2ugkpJJbbfrgZ+q6m7AT7z3AFXADK+cCdyWkdFZLBZLVyhG1TqdYulEJo2PAsXe6xJgtff6SOABNbwKlHqKrhaLxZJd2JlPr8nkns/3gPkicgPGCO7v1U8AViS0W+nVraEDXtKlMwEmT548kGO1WCyWzljD0msG1PiIyLPA2CSHrsQI5l2kqn8RkaOBu4HDe9K/l4zpDoDZs2fbvwKLxTJ4qKLRaKZHMWQZUOOjqimNiYg8AFzovX0cuMt7vQqYlNB0oldnsVgs2YVVOOg1mdzzWQ180Xt9KPCx9/pJ4CTP621foDYhj7nFYrFkD3bPp9dkcs/nO8DNIuIHWvD2boCngS8BS4Em4NTMDM9isVi6QNV6svWBjBkfVf03sGeSegXOHfwRWSwWSw+xs5peYxUOLBaLpVdYh4O+YI2PxWKx9AabUqFPWONjsVgsvcWmVOg1mfR2s1gsliGLAupqWqU7RKRSRJZ4mpaXD/zoM481PhaLxdIb1Esml07pAhHxAb/H6FrOAr4tIrMG4Q4yijU+FovF0kv6aeazN7BUVZepagh4BKNxOawZNns+Cxcu3Cginw1A12XAxgHot69k47jsmNLDjil9BmpcU/raQT1b5j/rPlaWZvNcEXkj4f0dnjwYJNez3Kev48t2ho3xUdXygehXRN5Q1dkD0XdfyMZx2TGlhx1T+mTruABUtTLTYxjK2GU3i8ViySxbpZ6lNT4Wi8WSWf4HzBCRaSISBI7FaFwOa4bNstsAckf3TTJCNo7Ljik97JjSJ1vH1W+oakREzgPmAz7gHlV9P8PDGnBErTaRxWKxWAYZu+xmsVgslkHHGh+LxWKxDDrW+CQgIkeJyPsi4orI7IT6qSLSLCJve+X2hGN7isi7nizGLSIigzEm79gV3nWXiEhFQv2gSXWIyNUisirhs/lSd+MbLLJFskRElnt/I2/HYj1EZKSILBCRj72fIwZ4DPeIyHoReS+hLukYvESOt3if2yIR2WMQx5S1f0+WfkZVbfEKsAOwHfAiMDuhfirwXopzXgf2BQSoBqoGaUyzgHeAHGAa8Alms9LnvZ4OBL02swbwM7sauCRJfdLxDeLvclA/h27Gshwo61B3PXC59/py4FcDPIaDgD0S/45TjQGTzLHa+5veF3htEMeUlX9PtvR/sTOfBFT1A1Vdkm57ERkHFKvqq2r+Qx4AvjZIYzoSeERVW1X1U0zm173JHqmOVOMbLLLlc0jFkcD93uv76ee/m46o6svA5jTHcCTwgBpeBUq9v/XBGFMqMv33ZOlnrPFJn2ki8paIvCQiX/DqJmCkMGKs9OoGg2SSHBO6qB9IzvOWZ+5JWD7KxDgSyfT1E1HgGRFZKCKxdPFjVHWN93otMCYD40o1hkx/dtn492TpZ7a6OB8ReRYYm+TQlar69xSnrQEmq+omEdkT+JuI7JjhMQ0aXY0PuA24FvOAvRb4DXDa4I1uSHCgqq4SkdHAAhH5MPGgqqqIZDTmIRvG4GH/nrYStjrjo6qH9+KcVqDVe71QRD4BZmIkMCYmNO2VLEZvxkTXkhz9KtWR7vhE5E7gqTTGNxhk+vpxVHWV93O9iDyBWS5aJyLjVHWNt6S1PgNDSzWGjH12qrou9jrL/p4s/YxddksDESn3cm4gItOBGcAyb8miTkT29bzcTgIGa6byJHCsiOSIyDRvTK8zyFIdHfYCvg7EPJdSjW+wyArJEhEpEJGi2GtgLuYzehI42Wt2MoP3d5NIqjE8CZzkeb3tC9QmLM8NKFn892TpbzLt8ZBNBfPHvhIzy1kHzPfqvwm8D7wNvAl8NeGc2Zh/kE+A3+GpRgz0mLxjV3rXXUKClx3GW+kj79iVA/yZPQi8CyzCPCDGdTe+Qfx9Dtrn0MUYpmO8tN7x/oau9OpHAc8BHwPPAiMHeBx/wiwfh72/p9NTjQHj5fZ773N7lwQvy0EYU9b+PdnSv8XK61gsFotl0LHLbhaLxWIZdKzxsVgsFsugY42PxWKxWAYda3wsFovFMuhY42OxWCyWQccaH4vFYrEMOtb4bEWISMMA9HlELF2BiHxNRGb1oo8XO6aLSKP9EhE5IsmxqYkS/cMdEflhwus8Lw1BSETKMjkui6U7rPGx9AlVfVJVf+m9/RpG+n4wOF5VB1SxIKZqkeXEjY+qNqvqbsDqzA3HYkkPa3y2QjzZlF+LyHtekrNjvPqDvVnFn0XkQxF5yJMNQkS+5NUt9BKNPeXVnyIivxOR/YEjgF973763SZzRiEiZiCz3XueJyCMi8oGndZaXMLa5IvJfEXlTRB4XkcI07mdPEXlHRN4Bzk2o93n3+T9PJfm7Xr0jIrd697NARJ4WkW95x5aLyK9E5E3gqFTj8a75kvd5zI/JwojIBSKy2LveI12MuUCMavPrYtTSj/Tqp4rIv7zrvel9rojIOBF52fts3xORL4jIL4HYbOehtH75Fku2kGmJBVsGrwAN3s9vAgswCdfGAJ8D44CDgVqMaKMD/Bc4EMjFyNlP887/E/CU9/oU4Hfe6/uAbyVc70U8aRagDFjuvb4YuMd7vQsQwcgUlQEvAwXesR8AP0lyH/F+vfeLgIO817/GS04GnAn8yHudA7yBSUT2LeBp7x7HAlti48YkfrssYcydxgMEgFeAcq/+mIT7WQ3keK9Lu/hd/Bw4IdYOIwNUAOQDuV79DOAN7/X3aZPm8QFFib/TDn0vp0PyOltsybay1alaWwBjUP6kqlGMsvFLwF5AHfC6qq4EEJG3MVlcGzBCqp965/8J82DvLQcBtwCo6iIRWeTV74tZtvuPN+EKYgxgSkSkFPOQf9mrehCo8l7PBXaJzWqAEswD/UDgcVV1gbUi8kKHbh/tZjzbATth0iOAMQYx4c1FwEMi8jfgb10MfS5whIhc4r3PBSZjjNfvRGQ3IIpRTwcjlHqPiASAv6nq2130bbFkPdb4WDrSmvA6St/+RiK0Le3mptFegAWq+u0+XLNjf+er6vx2lSJf6ua8xq7GIyI7A++r6n5Jzv0yxrh+FbhSRHZW1UiKsX1TO2SpFZGrMQKyu2I+uxYwWT9F5CCv//tE5Leq+kA392GxZC12z2fr5F/AMd6eSDnmYdmVPP0SYLqITPXeH5OiXT1QlPB+ObCn9/pbCfUvA8cBiMhOmKU3gFeBA0RkW+9YgYjMpAtUtQaoEZEDvarjEw7PB872ZguIyEwxaQ3+A3zT2/sZg1luTEaq8SwBykVkP68+ICI7iogDTFLVFzBLdCVAqj2r+cD5CXtqu3v1JcAab1Z2ImZWhYhMAdap6p3AXcAeXvtw7P4slqGENT5bJ09glofeAZ7H7HGsTdVYVZuBc4B5IrIQY2RqkzR9BLjU20DfBrgB8/B/C7N/EuM2oFBEPgCuARZ619mA2UP6k7cU919g+zTu51Tg994yoSTU3wUsBt4U4379B8xM7i8YCf/FwB8xaTI63U+q8ahqCGNMf+U5ObwN7I8xFH8UkXeBt4BbPOOYjGsxe0eLROR97z3ArcDJXr/b0zYLOxh4x/ssjwFu9urv8PqwDgeWIYVNqWBJCxEpVNUG75v674GPVfXGDI3lReASVX2jD33E7mcUZtZ3QFcGeCjheRXOVtWNmR6LxZIKO/OxpMt3vJnF+5iloT9kcCybMfsenYJMe8BT3v38C7h2OBge8YJMMTMqN8PDsVi6xM58LJYBREROBS7sUP0fVT03WXuLZWvBGh+LxWKxDDp22c1isVgsg441PhaLxWIZdKzxsVgsFsugY42PxWKxWAad/wegpBdpnneHrgAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "agb_data[0].plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "8b4db7cb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# One of the predictors (VOD) is available from April 2010 to December 2016.\n",
+    "# Therefore here we remove Jan-Feb-Mar 2016.\n",
+    "agb_data = agb_data.loc[\"2010-04-01\":\"2016-12-31\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "fc726c71",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x7f0d7be04f70>"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Mask out where AGB is zero\n",
+    "AGB_THRESH = 0\n",
+    "\n",
+    "agb_data = agb_data.where(agb_data != AGB_THRESH)\n",
+    "agb_data[0].plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d211b25d",
+   "metadata": {},
+   "source": [
+    "## Burned Area"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "2547c49f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'m2'"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\"\"\"Load BA data into an xarray dataset\"\"\"\n",
+    "ba_data = xr.open_mfdataset(\n",
+    "    \"/data1/raw_data/burned_area_2010_2018/201[0-6]*-ESACCI-L4_FIRE-BA-MODIS-fv5.1.nc\"\n",
+    ")\n",
+    "# Units\n",
+    "ba_data.burned_area.units"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2d3f8660",
+   "metadata": {},
+   "source": [
+    "Please note the units of BA are m2!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "f512ec0c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x7f0d7bce70d0>"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Rename lat/lon dimensions\n",
+    "ba_data = ba_data.rename({\"lon\": \"longitude\", \"lat\": \"latitude\"})\n",
+    "# Extract only burned areas\n",
+    "ba_data = ba_data.burned_area\n",
+    "\n",
+    "ba_data[0].plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "10ab31dc",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x7f0d7bc10550>"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Convert m2 to hectares\n",
+    "ba_data_h = ba_data * 0.0001\n",
+    "ba_data_h[0].plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "e510e5a5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# One of the predictors (VOD) is available from April 2010 to December 2016.\n",
+    "# Therefore here we remove Jan-Feb-Mar 2016.\n",
+    "ba_data_h = ba_data_h.loc[\"2010-04-01\":\"2016-12-31\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "5f8d0132",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x7f0d7bd166d0>"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Mask out low values (small fires)\n",
+    "BA_THRESH = 50  # hectares\n",
+    "ba_data_h = ba_data_h.where(ba_data_h > BA_THRESH)\n",
+    "\n",
+    "ba_data_h[0].plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dbb7b5bc",
+   "metadata": {},
+   "source": [
+    "## Load\n",
+    "\n",
+    "The load (Mg) is the Above Ground Biomass (Mg/h) * Burned Area (h). This operation is straightforward because the grids have the same spatial and temporal resolution! Please note the result shows values where both BA and AGB are not equal to NA. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "2a99d5e7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x7f0d7bb11f70>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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sQlrzcdWGFJoQ7PQgWJVQD6Xfk13B6r5lA0o8n3h5vP9Csqx69rIh186/Rtw8lN21Eywb/U/0cMnu2jlkUhkGOwNo1OjoLaGvf3eDmNIvRsEHQRkKLTazXbsgnRok17zJ7y57rVYkmtxVoq3ZcMXfJOS7ARZidnqhe20UYaQ+k/yHcU92BQTXy3h5IT/8QpOv8XOsv2/Y8ll/H5lnniGzbRsAqTFjI5NLrM/4W8Yg+UK7gfmA9ELmjj9jSLv4vVrWBjkrrNp5Of2PbYneXoDUhPHDvqdmplYrd0ea5pPIGfTqPuhhYNlBr+u+tL+wwq/nQyD+gB4gfCfxumxvb2KzXSWmqnylHX9LyCfV1bVbtszyAfmKvcHk2mnU6KIPh0EPvcxysCzp8XvkCbn7DSOzbRu2Y2fZ+2pFcit3W3HE7zb+JiVfCfhEcGEKKcuRniMp1l852cqdN8Tbq0B5IdNPTmmv2nl5KbGLUolNPj1xIuTJ8PSi49hz2c2kxo4hu3MXq3b8pG3nrrItOnZuTak7lIILgpympdhIvlSIh/wHQ5KHR347y2RKjuorYd6kdw3pe9A6ht5ernvq4oH62emFjN+8i+w/H0l2566B8lFTp+xu84ov1US2RmNGJYlYmgpX/E1CUbt+kVFfufOcxpN0RF9uJFzoAVBo9J/vGDASxCet5018Jz2Z5aRuvI3f3PCpomsKuOmOEZGt3hiiP5tOtDUbbuppIMV8nZMohPgffru+RrcySb6P4X5nI2Hmuu7JixL3nYtBNeiNJLOceRPfSebJ7TWVq1lo1ZW7JRW/pJUJrvGEmb2jNuJ0FgMjovTCAbtsuRF+vGx2agGpceMG9l35tw/t9H22a1DCnDtnK1JuxP9i4F0l6gV8v3bidB65hTOr+5Yxp+vUiv/Yszt2+MRvG9IuSj+f9rovNWU4hiSUU/znm9nvSjWQ9PkaytNxDArQ1XtFQTfOcn8sc8eeNqD88+287fWH1hmM1EpkZ/jUOJ/uiFHycWVmV5W7QJI2TjIq/YMv5zOeexj420Drkf8WV3C9QmxBXyt8xyfu895Gi1BTzKAvm060NRuJ3lMkHSTpR5JWS/ptbqu3cE7xh0D8IRF/O5gzetGghV3FXAIBXwDWpOS+r1IDgNmpBQMLqEp9x83EtY9e2GgRakotF3BJWirpMUkFE6VLeq2k7ZJuD9tnYnXzJN0jaaOkcwudn09Sr54VwA+AHwHuPF4nKv3jLTTKs0ymJZSAUxnF3Dn9u24sNTT1XAJ8D7isRJv/NbM3xQskpYnmWWcTZTS8RdJKM9tQqrOkMxP9Znahmd1sZmtzW8JznTqQZAVoOWq1yKcZaBVzh9M+1DJIm5ndCFSTd+Q4YKOZ3W9mvcAyYH65k0oqfkmTJU0G/lvS+yRNy5WF8pogKS3pNkm/CsczJf05vLosD9m5nDwKjQI70cMnf3Wp44wUFSRimSJpTWxbXEV3L5d0h6RrJR0WyvYD/h5rsymUlaScqWct0YMt98j6RKzOgAOTyVuWDwF3AXuF468B3zSzZZJ+AJwNtJeBsEpKLe+PT/B2kkdPZvv2jrlXp4moLADbVjPrHkZvtwIHmNkzkt4I/AKYVe3Fynn1zDSzA4EXh/2BDTi02k7jSNof+D/AReFYwOuBn4YmlwIn16KvdqDUsvxKzD/tZBpxpe80AgP6LZVoG3ZfZk+Z2TNh/xpgtKQpwGbghbGm+4eykiSd3P0jcEyCsmr4FvBvwJ7h+HnANjPLZZIo+uoSXpcWA0yfPr0GojQ/5cIQF3owNEMES8dpN0Zy5a6kfYFHzcwkHUc0aH8c2AbMkjSTSOEvAk4td71yIRv2JVK64yQdzW6Tz17AHkVPTIikNwGPmdlaSa+t9HwzWwIsAeju7rbhytOSxNLl5Sv6QsHA5k18J9nnnsOy1hE5UR2nntRK8Uu6Engt0VzAJuCzwGgAM/sB8FbgvZL6gR3AIjMzoF/S+4FVQBpYambry/VXbsQ/F3gH0evD/2O34n8K+FRFd1aYVwInBZvVWKIHyreBvSWNCqP+RK8u7UYxG/2gydtYwos5XaeiUaOZO/6MQRETc9eZ03Uqc7pOJTVubJQ4PJauz3Gcysn58dfkWmanlKn/HpG7Z6G6a4BrKumvnI3/UuANwHvM7PVm9rqwzTezn1fSUZHrn2dm+5vZDKJXlN+a2WnA9URPOIAzgV8Ot69WI0lkTohyrEIU7mF17xVYby8weJQ/d9zpA9m7BiIo+mjfcYZNFiXamo2yNn4zy0r6CFBdOp/q+CSwTNKXgNuAH49g3y2DUhrI0zp37Glk+/oLKvRsb2/RVHqO41SJtW90zhy/lvRxYDnwbK7QzKpZcFAQM7sBuCHs30+0MMEpQr79PtvXP6Q+Z85JdXUNZOvKhYCuJL2e4zhDMaA/257ROXPkDMLnxMpq6cfvFCCpL77S6SGTtfF5gNSM/bn2rn8fKF/d62YexxkutbTxjzSJFH/w23dGmJpkcbIs/fdsrOiajuMkw1pU8SeNzjla0gcl/TRs75c0ut7COYVJsvCqJ7uCVNfgSBezUwvcm8dxakjbTu4GLiTyKb0gHJ8eyjxIShMyp+tUNHoUq3ZeztwJZ+6uUMq9eRynRlgHTO6+1MyOjB3/VtId9RDIKU++uSY3FxCfE8ju2DEkkYebeRynlohMi07uJpU6I+lFuQNJB+Jx+ZuGfIVu/X2DV+8q+prbJTaP4zQLZkq0NRtJR/yfAK6XdD/R6t0DgLPqJpVTFfmhGgb+d/OO49SckYzVU2uSevX8RtIs4OBQdI+Z7aqfWE4h5o47HYBVO35S8bmewNtxaoxFdv5WJOmIH+BYYEY45yhJmFmpNGGO4zhtTTN67CQhkeKX9BPgRcDt7LbtG6XzQzo1ppqRvuM49cFoXT/+pCP+buDQEAbUaUHcxOM4tUZksu2t+P8C7As8XEdZHMdxWop2H/FPATZIuhkYmNQ1s5PqIpXjOE6TY9b+iv9z9RTCcRynFWl3d87flaqX9Ccze3ltRHLqQbG8vI7jVE+tZj0lLQVyqWgPL1B/GlGeEgFPA+81sztC3YOhLAP0m1l3uf5qtd54bDUnSXqhpOslbZC0XtKHQvlkST2S7g3/T6qRnB1LfhL2OaMXNVAax2l9DJHNphJtCbgEmFei/gHgNWb2EuCLhFzjMV5nZkclUfpQO8Vf7XOvH/iYmR0KHA+cI+lQ4FzgN2Y2C/hNOHYSUkyp92RX0JNdMZCNy0M4OM7wsIRb2euY3QgUTWxlZn80syfD4U1EucirpqERhszsYTO7New/DdwF7AfMBy4NzS4FTm6IgC3InK5TATjx4OLPSqXTAxm5nPYj9xtw6ow1LFbP2cC1gyVhtaS1khYnuUAlK3dLMew7kzQDOBr4M7CPmeVcRx8B9ilyzmJgMcD06dOHK0LTk8ROn540kewzz9K/8YGi11m183JmpxcWzNjl9v/WoND3NXfsaY0Sp3NJbuuYImlN7HiJmeWba8oi6XVEiv9VseJXmdlmSc8HeiTdHd4gipI0Ect4KQrxKOkgSSflJWI5vUL5868/AfgZ8GEzeypeFxaNFfx4zWyJmXWbWffUqVOHI0JroNSQ5Cr59G99guzO8mGUigVuc/NPa5Az18VJ7T2R1MS9sP6+BkjUmVQw4t+a01Vhq0bpHwFcBMw3s8d3y2Cbw/+PAVeTIF95UlPPjcBYSfsBq4kU/SWxjv+SVPh8wgPkZ8DlZvbzUPyopGmhfhrwWLXXbyd6MsuxrKFRoznx0E8NKOn8rFqj/mkmWLa6PnzE3xIUMtX1P7YFUilSY8r7Wpz4wg/VQ6yOwyzZNlwkTQd+DpxuZn+NlY+XtGduH5hDtOC2JEkVv8zsOeD/Ay4wswXAYZUKP+SikoAfA3eZ2X/GqlYCudRRZwK/HG5f7cLq3iuiPLp334tGjY7suZblxBefx9zxZzDqBfvSf+99FV83N/HrtAapMWMLfl/ZbU8VaF2Avr6Snl2z0ws9TWcZzMCyqURbOSRdCfwJOFjSJklnS3qPpPeEJp8BngdcIOn2mNloH+D3ITHWzcD/mNl15fpLauOXpJcDpxHZlwCGvmtWziuJ3h7ulHR7KPsU8FXgKklnA38D3laDvtqG1X3LmJ1aQPp5k+h/bCsA2QceiiqzWVJdXazaeXkDJXTqTXbXzkHzNJVmWLv2kQuK1uWuNffYzw5bznanVn78ZnZKmfp3USDVrZndDxw59IzSJFX8HwbOA642s/UhA9f1lXaWj5n9nuITw28Y7vXbmUJ/5LNTC0hls2R7e5mdXkh60kTC1AzXbvnBSIvYEDolxWRPdsWgEbtGjS7RujizUwtQOs3qvmUDxzlWrf388ITsBFo0bGUiU4+Z/S7E5fluOL7fzD5YV8mcylGK/kfDdIhlsR07yT73HP2PP176vBZhdmrB7nmN1ILIHFFgMrpTJqjjdn7r76vqvvPXdBTK5+wUI9nEbjPG80nq1fNySRuAu8PxkZKKvys6jcGyKJ3mqbdH0TOyO3ex6tn2S5kwoIzCBHb8gQCNm6Au9iCqG0oNufdKWd23DMvaQF5mp0JqtYJrhEn6bX8LmAs8DhBiRLy6TjI5VdKTXcHqvmX8+bKPAqCU2nfEVkBRFTLz1OL+kyjX2akFVXtSDQulhv2g68ksHzRXAINXfyf5DDsyBEjjFnANm8QLuMzs75ETzgC+9LOJ6cmuaLtFWT3ZFZGnSYUKNunnEH9w5PczKNZRARkasRo6p6znjF40rO84fzHfwGeQWkB6woThCdnuNKFST0LSEf/fJb0CMEmjJX2cKLyC08S0i8IfQhjtxxcxKZ2u7f0WUfr5dfmM9GdeizcapXYrr7jSB8ju2MF1T11c9hq5yeGOo0VNPUlH/O8Bvk0UR2cz0SKuc+ollNM8zB17WlO5hvZklg/4l1t2919UodF2KQ+fuMLMjdbjb0nF2hYjZycfaa+inMzD6bfQKuAcHavQk9KESj0JSb16tprZaWa2j5k938zeHl8y7LQ+ceUW38/29jJvr7OYt9dZjRCrID2Z5WBZejLLUTo9sFV8nRouWkvvtWdDbPy1WGRV6MGuUaPb942xVhiRqSfJ1mQoSf50SQcBFxIFTzs8xIw4ycy+VG8Bk9Ld3W1r1qwp39ApSaHRbWrcODRuLNdtrTi8SNNTyBuo2Ahf6XQ0ss9T8Klx48ju2DHoGk5zI2lt0tj1xRgzY3/b9zPJvNofOvuTw+6vliS18f+IaAFXH4CZrQM6cBq/vSlmLsgptXalkC/7wNtAmE/IeUwVGtVnd+yI4uM0gUtk23pxNStZJduajKS/1D3M7Oa8sv5aC+OMPPmKoqDiUKo9R/u5uYJMZkBp5we+68ksH1RXdER/6IGDJkkbhb9xjCyyZFuzkVTxb5X0IsJUhqS3Ag+XPsVpReKjXaXTpMaMJTV2zICfdqunbYwHH+vJLEejRkf27ODOmOrqGuLeCLuVfrERdfa2DfUVPCHDsflXcu7s1ALmHfl/q+6rLUjq0dOEij+pV885RDkeD5G0mSj/o2d9aAPiI8T80WLOoyOe4CM/Rkyrka/QV/desbsu5sM/aHSfWyGcXjhkHiD3MGiWkXaxPAu1PreayfT2ozknbpNQdsQvKQ28z8xOAKYCh5jZq8zsb3WXzhlRiq1QXbXz8kHuku3k4pcb5cZHu0MUoFKR51BKzOk6dcjIuFmU/nBJ+kDP3X92w731FKc1aNERf1nFb2YZQpovM3s25MZ12pBS7o3totziFFP2c0YvGvDJj9dZ1qLsVrEJ3naaTF3dt6ys8s+FpsiZyDqeFlX8SU09t0laCawAns0VxjJmOU7LUcy0kct3kF924n4fIPvENrK9vQPKv90eiCqR2nPuuNPpya5g3l5nJVrN2/YYTemxk4Skk7tjiQK0vR54c9jeVC+hACTNk3SPpI2Szq1nX04y5nSd2mgRRoxCbz/Xbv4uq3b8hFFTJg+0yTHcKJnNQpJorq70d9OqXj2JRvxmNqLLNsO8wveB2cAm4BZJK82sOVwnOpT4RGgnc+2jFyZu20wTv8UY5LpapL4ns5xVO34ykmK1Bk2o1JOQSPFL+k6B4u3AGjOrRz7c44CNIa0YkpYB8wFX/E7dmPeS87EHNrHqmUsrPrdYRrRmV/pQ3punUH2zxXBqdSQtJbKiPGZmhxeoF1G8tDcCzwHvMLNbQ92ZwKdD0y+ZWdkfcCWmnqOAe8N2BLA/cLakbyW8RiXsB/w9drwplA1C0mJJaySt2bJlSx3EcDqF2akF2AObyrab95LzE1+zFZR+tWR7e9vCtDVcamjquQSYV6L+RGBW2BYThdBB0mTgs8DLiAbMn5U0qVxnSRX/EcDrzOy7ZvZd4ATgEOBfgDkJr1FzzGyJmXWbWffUqVMbJYbTJtiuXVhvX8k219355YLlxYLctSu1DHDX0tQoSJuZ3Qg8UaLJfOAyi7gJ2FvSNKIEWT1m9oSZPQn0UPoBAiRX/JOAeEaG8cDk4Oq5K+E1KmEz8MLY8f6hzHFqSlxJ59Yq5Ls0zh1/BvMO85G+k4cB2YQbTMlZJ8K2uMLeillBEllH8knqzvl14HZJNwAiSrv4FUnjgV8nvEYl3ALMkjSTSOEvAjrHpcQZcVJdXWR7e7H+voFVqSce+in677mP9Pg9sPseZE7XqazuvWKIO+OgzF1tlvXMKU0FHjtbWy46p5n9GHgF8AvgauBVZnZRWND1iVoLZWb9wPuBVUSZvq4ys/W17sdxINj3s0Yq+LBbJsPs1AKu3fCV6Li3d/fbQNepQ9wZ88NedKLSb+UwHsNi5BZwFbOCVGUdSaT4w4zyG4AjgxfPKEnHJZW4GszsGjM7yMxeZGaFDauOM0xyinp17xVke3sHrUad03Uq6fF7kO3rJ7XnnoPCN3eCHb8S2imMR0WMnOJfCZyhiOOB7Wb2MNHgeI6kSWFSd04oK0lSG/8FwMuBU8Lx00R+9o7TVlh/30AY5tS4sWR37CD9koOhvx/r7yM1buyQ7FSdNrHrRCT16EliDpJ0JfAn4GBJmySdLek9kt4TmlwD3A9sJMqP8j4AM3sC+CKRefwW4AuhrCRJbfwvM7NjJN0WOntSUvG13U7Hkp/RqlV82WG3vKmxY8ju3EXm6SgsVWbdXYzafz/YsYPsc88NiUzZKvfn1IEahWwws1PK1BtF8pyb2VJgaSX9JVX8fWE1bS4e/1Ryc9WOU4RWGf3my2m9vUPaZB9/YiC5u2UH5yCanV5IqqvLV7bWgDldp0aJ74cRXnokacZwDElIaur5DtGk7vMlfRn4PfCVuknltCStoujzyY3YcyN5y2QGgrApnSY9eVKUftKyYFlSo0cVtfP76H94rO69omWUPtCy0TmTevVcDvwb8O9EmbdONjP/hTsDDFKCudyzSrWMIuzJrtidcyCWO9cyGezZwTmHh4QqsKyP9juRGtr4R5qSil/S5NwGPAZcCVwBPBrKnA4k33VvzuhFg2OzWzZS+i0ycsuN3vMzbkE04s/mTD9KDbrPXPtWebg5daBFR/zlbPxricQWMB14MuzvDTwEzKyncE5zUsh1z/rzQh1Y60wBxXPp5nvrWCazu96yWIYh7ZwOpgmVehJKjvjNbKaZHUi0OvfNZjbFzJ5HFEVu9UgI6DSOeRPfWbRudnrhwMjfMpmWz8Gar8gHuWimFw6YrVrlLcYZGdrS1BPjeDO7JndgZtcSreR12pB5R3ya2emFaML4gvVzx52+u+3kdwMMysmbo1UneyFvNW5medumW3SGSZuaenL8Q9Kngf8Kx6cB/6iPSE6z0P/wIwO275yyS+2xB9ldOwcSkGe2bSt6fqubQ+Lxd/LDMlRLK61rqBVte89NOppPQtIR/ynAVCKXzp+H/ZILDpwW5sHBoT5ypg6U2r2AybIFR/mOU4i2fUtq0RF/UnfOJ8zsQ2Z2tJkdY2YfTrIs2GlhcqaNuHdOKMsp/HZX/EO8fWLl1V6v08ilddSo0e15/+2o+CV9rtwFkrRxWovrnrp4qGtj+H+QC2N4Cyh23KrJ2T208vDIPTBznlBQwOurDRCtO7lbzsb/LklPlagXUaz8z9VMIqfh5PKpls0ja9nBceg1eBzRqsnZy9nzq3kgtOVotwipMWOx/r7ojTD3m4j9VtoGA7WO1/Igypl6fgTsWWKbENo4bUT+ytTZqQVo1OjBi7RidQNKLYQ0yJXH23QynXT/s1MLyO7aObD+If830XYhrVvU1FNyxG9mn69Xx5K+AbwZ6AXuA84ys22h7jzgbCADfNDMysaXdupD/h9pasxY5o47PVGIgtzbQduN9Cog//Nr+89CqYIP/yS0pPdPEyr1JCT16qkHPcDhZnYE8FfgPABJhxKZjw4jShp8QYgM6jSCYLdf3XtFZLpJKdpi1MrV0WkD8lZs5x78uTmg3H67jPzb1cZfN8wsvvL3JuCtYX8+sMzMdgEPSNoIHEeUpMAZYfJXqqprdxqGuJJXOj2QsrBQvdMZn0extQ8w9LdU7NyWogmVehIaOeKP807g2rCfOGu8pMW5rPVbtmyps4gOwHVPXsR1T140oOBz/7fbyt1aMeDtRHt/HklMWm03KAiTu0m2ZiPRiF/SQcCFwD5mdrikI4CTzOxLZc77NbBvgarzQ+5eJJ0P9AOXF2hXEjNbAiwB6O7ubtFnb+swb6+z0N4T6d/8MLB7VFfsj76dFV1S2v0zqMT1dcgbQIlzZqcXtkZcpBbVOklH/D8issH3AZjZOiI7fEnM7AQzO7zAllP67yAK+HZaSC0GVWaNd+rPdU9dTP/mhwf9QZZSbG0xqqsh7fh51OueWkLpU9Ocu/Mk3SNpo6RzC9R/U9LtYfurpG2xukysbmUSuZMq/j3M7Oa8sv6CLRMiaR5RcpeTzOy5WNVKYJGkMZJmArOA/L6dBpEevwdzx55WtL4dlVtNUKptR//1+M5b5rOqgTtncF75PnAicChwSnBy2d2N2UfM7CgzOwr4LlHonBw7cnVmdlISsZMq/q2SXpS7BUlvJcrENRy+R7QWoCc8qX4AYGbrgauADcB1wDlm1t6xAVqJrqG+/LmQzK70S9BC+QmchCRV+uVH/McBG83sfjPrBZYRObkU4xSipFhVk9Sr5xwiW/ohkjYDDwBvH07HZvZPJeq+DHx5ONd3ak88/n7cX9spjs93VE6r+PMrbAmZImlN7HhJmKOEwg4tLyvYp3QAUQKs38aKx4Zr9wNfNbNflBMmkeI3s/uBEySNB1Jm9nSS85z2Q2PGQG/fQOyVVvgDbQb8c0pOK31WFXjsbDWz7hp0uQj4aZ4V5AAz2yzpQOC3ku40s/tKXaSk4pf00SLlAJjZf1Yms9PKWCYTKf1MZiAey9zxZ7Dq2csaLZrTxLTKCL4qauPVU4lDyyIiC8xuEcw2h//vl3QDcDRRNISilLPx52LydAPvJXol2Q94D3BMmXOdNqMnuyJS/pYlu2vnwGKuOaMXDUnA3u60ZdwZp3JqY+O/BZglaaakLiLlPsQ7R9IhwCRii1klTZI0JuxPAV5JND9aknI5dz8f4vXsDxxjZh8zs48BxxIlX3falKM+8M2CYZXjbnarnr2sI0f7cd/1th3JlqDSh13bfkYJXTnLuXOaWT/wfmAVcBdwlZmtl/QFSXEvnUVEUQ3iV3wxsEbSHcD1RDb+soo/6eTuPkTB1HL0hjKnTbn9ux9hzg93K/4hi7ViIZhX9y0bafEaStsqsiqolxmnZXIi1GgBV8hpfk1e2Wfyjj9X4Lw/Ai+ptL+kiv8y4GZJV4fjk4FLK+3MaS1KxtN3j56OxiOvRjRjOIYkJE29+GXgLODJsJ1lZl+pp2BOc1KrNIStTqfedyNo5vmjto7OKWk6sJUo2fpAmZk9VC/BnOYiP9NWztbfaSO+ljFBtAlN7RHUpElWkpB05e7/AL8K22+A+9kdTdPpMFoljopTH0ZiUVrTKvt8WjQDV1JTz0vM7IiwzcLj43csLfMHOQzKuWl2wmdQjlFTp1R1XtKHRVOP9APtnGy9IGZ2q6SCS4qd9qCUSaOTzB35CqgT7jkJ/Vu2AtWnlkzy+6rkeg2jCZV6EpLa+OMreFNEi7f+UReJnKag3B9c0/9BDoOe7IqBCcV2vs9aUelnVCyPQ64uv13TYqBsa2r+pCP+PWP7/UQ2/5/VXhynUQwnoUY70mlrEyql2t9Au/12mtGMk4Skin+DmQ36xiQtANrrW+xgcqGVc+SPtpp+9OW0JEVt/q0S/bVFFX9Sr57zEpY5LUp6330GjXIrSZPnONVQ7DelUaOHDESalVad3C2p+CWdKOm7wH6SvhPbLmGYGbhifXxMkoUAQyjiOyEF2TpJHgyuzsxOLyTz6JYhCdQdp+5oqAp67s3HRMEAW4EWdecsZ+r5B7AGOAlYGyt/GvjIcDuX9EJgDhBfCHYiUbrFWUTJCC6kSFICpzakJ00k+9QzA8du4nFGjDxzjtJpxl3959b4zTXpaD4JJRW/md0B3CHp8hBBrtZ8kyjv7i9jZfOBy0IEupsk7S1pmpkNN9WjU4TMk9sZNfV5XPvIBY0WxekwRkrBz04vrPnCQ9G6sXrKJWK5yszeBtwmDX22mdkR1XYsaT6w2czuyCV2CRRKQ7YfBXL8SloMLAaYPt2jRFeNZQsqfR/tO+1C3VabW2sO+cuZej4U/n9TNReX9Gtg3wJV5wOfIjLzVE3IWbkEoLu7uzW/gSagmHJ3pe84pWlXU09ulP0+M/tkvE7S14BPDj1r0PknFCqX9BKihMG50f7+wK2SjqOyNGSO4ziNoUknbpOQ1J1zdoGyE6vt1MzuNLPnm9kMM5tBZM45xsweIUo5dkbw7jke2O72fcdxmhFlk23NRjl3zvdKuhM4OLhW5rYHgHV1kukaouifG4EfAe+rUz+O4zjDolaKX9I8SfcEN/ZzC9S/Q9IWSbeH7V2xujMl3Ru2M5PIXc7GfwVR+OV/B+LCPG1mTyTpIAlh1J/bN/KyyDuO4zQdRk0mdyWlge8TWVY2AbdIWlkgd+5yM3t/3rmTgc8C3UGiteHcJ0v1WS7Z+nYze9DMTjGzvwE7wsUnhOQsjuM4HUuNVu4eB2w0s/vNrBdYRuTWnoS5QI+ZPRGUfQ8wr9xJiWz8kt4s6V7gAeB3wIN4IhbHcTqd2qzcLebCns9bgqn9p2HxayXnDiLp5O6XgOOBv5rZTOANwE0Jz3Ucx2k7KkzEMkXSmti2uMLu/huYEdZO9QCXDkf2pNE5+8zscUkpSSkzu17St4bTseM4TktjVomNf6uZdRepK+vCbmaPxw4vAr4eO/e1eefeUE6YpCP+bZImADcCl0v6NvBswnMdx3Hakhp59dwCzJI0U1IXsIjIrX13P9K02OFJwF1hfxUwR9IkSZOIFsWuKtdh0hH/fGAnUWC204CJwBcSnus4jtOW1GLlrpn1S3o/kcJOA0vNbL2kLwBrzGwl8EFJJxFFRX4CeEc49wlJXyR6eAB8IYnHZSLFb2bx0f2wbEuO4zhtgQE1Sr1oZtcQrWGKl30mtn8eRXKgmNlSYGkl/ZUL0vY0heekFfVne1XSmeM4TlvRoiEbysXq2bNUveM4TifTlkHaHMdxnBK0aVhmx3EcpxDWnAHYkuCK33EcpwqiBVw+4nccx+ksfMTvOI7TWfiI33Ecp5PogAxcdUHSByTdLWm9pK/Hys8LCQnukTS3kTI6juMUxlA22dZsNGzEL+l1RKEgjjSzXZKeH8oPJYpVcRjwAuDXkg4ys0yjZHUcxylIi5p6Gjnify/wVTPbBWBmj4Xy+cAyM9tlZg8QpWA8rkEyOo7jFMbaNOdunTkI+GdJf5b0O0kvDeVVJRZwHMcZcXKhmcttTUZdTT2Sfg3sW6Dq/ND3ZKIELy8FrpJ0YIXXXwwsBpg+3TNBOo4zwjSfTk9EXRW/mZ1QrE7Se4Gfh+TqN0vKAlNIkJQgdv0lwBKA7u7uFv0KHMdpVVrVnbORpp5fAK8DkHQQ0AVsJUpAsEjSGEkzgVnAzY0S0nEcpyAGZCzZ1mQ00o9/KbBU0l+AXuDMMPpfL+kqYANR0oFz3KPHcZxmQ1jLjvgbpvjNrBd4e5G6LwNfHlmJHMdxKsQVv+M4TofRooq/oSt3HcdxWhYjCtKWZCuDpHkhUsFGSecWqP+opA2S1kn6jaQDYnUZSbeHbWX+uYXwEb/jOE6V1MLGLykNfB+YTbRu6RZJK81sQ6zZbUC3mT0XPCK/DiwMdTvM7KhK+vQRv+M4TlUYZLPJttIcB2w0s/vD3OcyoggGu3syu97MnguHNxG5uVeNK37HcZxqMCpZuTtF0prYtjh2pUqjFZwNXBs7HhuueZOkk5OI7qYex3Gcakkeh2ermXUPtztJbwe6gdfEig8ws80h8sFvJd1pZveVuo4rfsdxnCqpkR9/omgFkk4gCnfzmlxwSwAz2xz+v1/SDcDRQEnF76Yex3GcaqlNkLZbgFmSZkrqIgpLP8g7R9LRwA+Bk2KRjJE0SdKYsD8FeCXR4teS+IjfcRynGswgM/yYy2bWL+n9wCogDSw1s/WSvgCsMbOVwDeACcAKSQAPmdlJwIuBH4ZYZymiUPeu+B3HcepGjRZwmdk1wDV5ZZ+J7RcMeGlmfwReUml/rvgdx3GqpUVX7rridxzHqQYDmjCfbhJc8TuO41SFgTVhXsUEuOJ3HMepFjf1OI7jdBBGTbx6GoErfsdxnGpp0RF/wxZwSToqxJa4PcSZOC6US9J3QnjSdZKOaZSMjuM4xUm4eKsJHw6NXLn7deDzIZzoZ8IxwIlEeXZnAYuBCxsineM4TimMWkXnHHEaqfgN2CvsTwT+EfbnA5dZxE3A3pKmNUJAx3GckrToiL+RNv4PA6sk/QfRA+gVobxYiNKH8y8QQpsuBpg+fXo9ZXUcxxlKEyr1JNRV8Uv6NbBvgarzgTcAHzGzn0l6G/BjoOCy5GKY2RJgCUB3d3drfgOO47QmZlgm02gpqqKuir9YfAkASZcBHwqHK4CLwn6iEKWO4zgNp0VX7jbSxv8PdicTeD1wb9hfCZwRvHuOB7ab2RAzj+M4TsNxG3/FvBv4tqRRwE6CrZ4oQt0bgY3Ac8BZjRHPcRynBGZN6bGThIYpfjP7PXBsgXIDzhl5iRzHcSqkCUfzSfCVu47jOFXhk7uO4zidhYdldhzH6UA8LLPjOE7nYID5iN9xHKeDME/E4jiO03G06ohf1qLuSPlI2gL8rQ6XngJsrcN1h0szyuUyJcNlSk695DrAzKYO5wKSriOSLwlbzWzecPqrJW2j+OuFpDVm1t1oOfJpRrlcpmS4TMlpVrlanUaGbHAcx3EagCt+x3GcDsMVf3mWNFqAIjSjXC5TMlym5DSrXC2N2/gdx3E6DB/xO47jdBiu+B3HcToMV/wxJC2QtF5SVlJ3rHyGpB2Sbg/bD2J1x0q6U9JGSd+RpJGQKdSdF/q9R9LcWPm8ULZR0rm1lKeAfJ+TtDn22byxnHwjxUh+DmXkeDD8Rm6XtCaUTZbUI+ne8P+kOsuwVNJjkv4SKysoQ0iC9J3wua2TdMwIytS0v6e2wsx8CxvwYuBg4AagO1Y+A/hLkXNuBo4HBFwLnDhCMh0K3AGMAWYC9wHpsN0HHAh0hTaH1vEz+xzw8QLlBeUbwe9yRD+HMrI8CEzJK/s6cG7YPxf4Wp1leDVwTPx3XEwGokRI14bf9PHAn0dQpqb8PbXb5iP+GGZ2l5ndk7S9pGnAXmZ2k0W/zsuAk0dIpvnAMjPbZWYPEGUsOy5sG83sfjPrBZaFtiNNMflGimb5HIoxH7g07F9KjX83+ZjZjcATCWWYD1xmETcBe4ff+kjIVIxG/57aClf8yZkp6TZJv5P0z6FsP2BTrM2mUDYS7Af8vUDfxcrryfuDSWBpzGTRCDniNLr/OAaslrRWUi7F6D62O5f0I8A+DZCrmAyN/uya8ffUVnRckDZJvwb2LVB1vpn9sshpDwPTzexxSccCv5B0WINlGjFKyQdcCHyRSLl9Efh/wDtHTrqW4FVmtlnS84EeSXfHK83MJDXUr7oZZAj472kE6DjFb2YnVHHOLmBX2F8r6T7gIGAzsH+s6f6hrO4yhX5eWKTvYuVVkVQ+ST8CfpVAvpGg0f0PYGabw/+PSbqayETxqKRpZvZwMKM81gDRisnQsM/OzB7N7TfZ76mtcFNPAiRNlZQO+wcCs4D7w2vyU5KOD948ZwAjNUJfCSySNEbSzCDTzcAtwCxJMyV1AYtC27qQZ/v9FyDnoVFMvpFiRD+HYkgaL2nP3D4wh+gzWgmcGZqdycj9buIUk2ElcEbw7jke2B4zCdWVJv49tReNnl1upo3oh7aJaHT/KLAqlL8FWA/cDtwKvDl2TjfRj/M+4HuE1dD1linUnR/6vYeYNxGRV8ZfQ935df7MfgLcCawj+uOcVk6+Efw+R+xzKCHDgUTeKHeE39D5ofx5wG+Ae4FfA5PrLMeVRCbLvvB7OruYDETePN8Pn9udxLzJRkCmpv09tdPmIRscx3E6DDf1OI7jdBiu+B3HcToMV/yO4zgdhit+x3GcDsMVv+M4Tofhit9xHKfDcMXfQUh6pg7XPCkX8ljSyZIOreIaN+SHnE7Q/h5JJxWomxEP89vuSPpUbH9cCGXcK2lKI+VymhtX/M6wMLOVZvbVcHgyUfjckeA0M6vrStzcau0mZ0Dxm9kOMzsK+EfjxHFaAVf8HUhYiv8NSX8JCUIWhvLXhtH0TyXdLenyEIoCSW8MZWtDko5fhfJ3SPqepFcAJwHfCKPOF8VH8pKmSHow7I+TtEzSXSF2zbiYbHMk/UnSrZJWSJqQ4H6OlXSHpDuAc2Ll6XCft4Roj/8aylOSLgj30yPpGklvDXUPSvqapFuBBcXkCX3+Lnweq3KhBiR9UNKG0N+yEjKPVxR98mZFUV/nh/IZkv439Hdr+FyRNE3SjeGz/Yukf5b0VSA3yr880ZfvOOAhGzppA54J/78F6CFKVrIP8BAwDXgtsJ0oAFYK+BPwKmAsUUjcmeH8K4Ffhf13AN8L+5cAb431dwNhuT8wBXgw7H8UWBr2jwD6iUJfTAFuBMaHuk8CnylwHwPXDcfrgFeH/W8QEnsAi4FPh/0xwBqiJB5vBa4J97gv8GRObqKkKf8Wk3mIPMBo4I/A1FC+MHY//wDGhP29S3wXXwHenmtHFFpiPLAHMDaUzwLWhP2PsTvcQxrYM/6d5l37QfISv/jmW3zruOicDhAp8yvNLEMUofF3wEuBp4CbzWwTgKTbibKPPUMUlO6BcP6VREq1Wl4NfAfAzNZJWhfKjycyFf0hvGh0ET18iiJpbyIFe2Mo+glwYtifAxyRG80DE4mU6auAFWaWBR6RdH3eZZeXkedg4HCiEMsQKeJcELN1wOWSfgH8ooToc4CTJH08HI8FphM9OL4n6SggQxQFFqKgc0sljQZ+YWa3l7i245TEFb+Tz67Yfobh/Ub62W1OHJugvYAeMztlGH3mX+8DZrZqUGEsj2sRni0lj6SXAOvN7OUFzv0/RA+2NwPnS3qJmfUXke0tlpddTdLniILxHUn02e2EKFuVpFeH618i6T/N7LIy9+E4BXEbf2fyv8DCYAOfSqSoSoW4vQc4UNKMcLywSLungT1jxw8Cx4b9t8bKbwROBZB0OJG5B+Am4JWS/inUjZd0ECUws23ANkmvCkWnxapXAe8No2QkHaQoNPIfgLcEW/8+RCauQhST5x5gqqSXh/LRkg6TlAJeaGbXE5mFJgLF5ihWAR+IzaEcHconAg+Ht5HTid4mkHQA8KiZ/Qi4iChXLUBf7v4cJymu+DuTq4lMEncAvyWyaT9SrLGZ7QDeB1wnaS2Rgt9eoOky4BNhsvJFwH8QKd7biOzlOS4EJki6C/gCsDb0s4VozuDKYP75E3BIgvs5C/h+ME0pVn4RsAG4VZGL5w+J3mB+RhQGeAPwX0ShtofcTzF5LMrh+1bga2FC+XbgFURK+r8k3QncBnwnPJgK8UWiuYJ1ktaHY4ALgDPDdQ9h99vHa4E7wme5EPh2KF8SruGTu05iPCyzkwhJE8zsmTBC/T5wr5l9s0Gy3AB83MzWDOMauft5HtHbzitLPfxaieA91W1mWxsti9Oc+IjfScq7w4h6PZE54ocNlOUJIjv3kAVcFfCrcD//C3yxHZS+wgIuojeJbIPFcZoYH/E7Th2RdBbwobziP5jZOYXaO85I4IrfcRynw3BTj+M4Tofhit9xHKfDcMXvOI7TYbjidxzH6TD+f5J54/xUohQ2AAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "load_data = agb_data * ba_data_h\n",
+    "load_data[0].plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "43d1b7f6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Store data, if needed.\n",
+    "folder_path = \"/home/moc0/ai-vegetation-fuel/data/inputs/nc_files_\" + vartype + \"/\"\n",
+    "Path(folder_path).mkdir(parents=True, exist_ok=True)\n",
+    "load_data.to_netcdf(folder_path + \"load_2010-2016.nc\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3ec0c9ac",
+   "metadata": {},
+   "source": [
+    "# Static predictors"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1fe89ecd",
+   "metadata": {},
+   "source": [
+    "## Climatic regions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "745d141b",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x7f0d7ba06a90>"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "\"\"\"Load climatic regions data into an xarray dataset\"\"\"\n",
+    "cr_data = xr.open_dataset(\"/data1/raw_data/Beck_KG_V1_present_0p0083.gridName0320.nc\")\n",
+    "# Rotate longitude coordinates\n",
+    "cr_data = cr_data.assign_coords(\n",
+    "    longitude=(((cr_data.longitude + 180) % 360) - 180)\n",
+    ").sortby(\"longitude\")\n",
+    "# Interpolate to match load resolution\n",
+    "climate_region = cr_data.climatic_region.interp(\n",
+    "    coords={\n",
+    "        \"latitude\": load_data.latitude.values,\n",
+    "        \"longitude\": load_data.longitude.values,\n",
+    "    },\n",
+    "    method=\"nearest\",\n",
+    ")  # Wikilimo used default method ('linear')\n",
+    "climate_region.plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "da835da3",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Replicate the same layer 81 times to match load's temporal resolution\n",
+    "cr_data = [climate_region for i in range(0, 81)]\n",
+    "cr_data = xr.concat(cr_data, \"time\")\n",
+    "cr_data[\"time\"] = load_data[\"time\"]\n",
+    "# Mask using the load\n",
+    "cr_data = cr_data.where(load_data >= 0)\n",
+    "cr_data[0].plot()\n",
+    "\n",
+    "# Store data, if needed.\n",
+    "cr_data.to_netcdf(folder_path + \"climatic_region_2010-2016.nc\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "21253f10",
+   "metadata": {},
+   "source": [
+    "## Slope"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "d8795f88",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x7f0d73032730>"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "\"\"\"Load slope data into an xarray dataset\"\"\"\n",
+    "slope_data = xr.open_mfdataset(\"/data1/raw_data/slope_O320.nc\")\n",
+    "# Rotate longitude coordinates\n",
+    "slope_data = slope_data.slor.assign_coords(\n",
+    "    longitude=(((slope_data.longitude + 180) % 360) - 180)\n",
+    ").sortby(\"longitude\")\n",
+    "# Interpolate to match load resolution\n",
+    "slope_data = slope_data.interp(\n",
+    "    coords={\n",
+    "        \"latitude\": load_data.latitude.values,\n",
+    "        \"longitude\": load_data.longitude.values,\n",
+    "    },\n",
+    "    method=\"linear\",\n",
+    ")  # Wikilimo used default method ('linear')\n",
+    "slope_data.plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "462f678b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Replicate the same layer 81 times to match load's temporal resolution\n",
+    "sl_data = [slope_data for i in range(0, 81)]\n",
+    "sl_data = xr.concat(sl_data, \"time\")\n",
+    "sl_data[\"time\"] = load_data[\"time\"]\n",
+    "# Mask using the load\n",
+    "sl_data = sl_data.where(load_data >= 0)\n",
+    "sl_data[0].plot()\n",
+    "\n",
+    "# Store data, if needed.\n",
+    "sl_data.to_netcdf(folder_path + \"slope_2010-2016.nc\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ed56e546",
+   "metadata": {},
+   "source": [
+    "## Biomes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "f4eac353",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x7f0d73041730>"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "\"\"\"Load slope data into an xarray dataset\"\"\"\n",
+    "biomes = xr.open_dataset(\"/data1/downloaded/landcover_25.nc\")\n",
+    "# Convert to data array and select the only time step available\n",
+    "biomes = biomes.STRF[0]\n",
+    "biomes.plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "8365b359",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Replicate the same layer 81 times to match load's temporal resolution\n",
+    "biomes_data = [biomes for i in range(0, 81)]\n",
+    "biomes_data = xr.concat(biomes_data, \"time\")\n",
+    "biomes_data[\"time\"] = load_data[\"time\"]\n",
+    "# Mask using the load\n",
+    "biomes_data = biomes_data.where(load_data >= 0)\n",
+    "biomes_data[0].plot()\n",
+    "\n",
+    "# Store data, if needed.\n",
+    "biomes_data.to_netcdf(folder_path + \"biomes_2010-2016.nc\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6aa13e2f",
+   "metadata": {},
+   "source": [
+    "# Dynamic predictors"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "aa0f55fc",
+   "metadata": {},
+   "source": [
+    "## Leaf Area Index\n",
+    "\n",
+    "Remote sensing LAI methods generate a map of dimensionless LAI values assigned to each pixel. Values can range from 0 (bare ground) to 6 or more, but since rangeland vegetation is generally sparse, values commonly range from 0-1. A LAI value of 1 means that there is the equivalent of 1 layer of leaves that entirely cover a unit of ground surface area, and less than one means that there is some bare ground between vegetated patches. LAI values over 1 indicate a layered canopy with multiple layers of leaves per unit ground surface area. LAI and fPAR data are commonly packaged together (e.g., MODIS products)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "d4eb31fd",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/moc0/miniconda3/envs/ml-fuel/lib/python3.8/site-packages/dask/array/numpy_compat.py:40: RuntimeWarning: invalid value encountered in true_divide\n",
+      "  x = np.divide(x1, x2, out)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x7f0e40f593a0>"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "\"\"\"Load LAI data into an xarray dataset\"\"\"\n",
+    "lai_data = xr.open_mfdataset(\n",
+    "    \"/data1/raw_data/LAI_interpolated_2010_2017/LAI_201[0-6]*.nc\"\n",
+    ")\n",
+    "# Rename lat/lon dimensions\n",
+    "lai_data = lai_data.LAI.rename({\"lon\": \"longitude\", \"lat\": \"latitude\"})\n",
+    "# Calculate monthly means\n",
+    "lai_data = lai_data.resample(time=\"1MS\").mean(dim=\"time\")\n",
+    "# Interpolate to match load resolution\n",
+    "lai_data = lai_data.interp(\n",
+    "    coords={\n",
+    "        \"latitude\": load_data.latitude.values,\n",
+    "        \"longitude\": load_data.longitude.values,\n",
+    "    },\n",
+    "    method=\"linear\",\n",
+    ")  # Wikilimo used default method ('linear')\n",
+    "# One of the predictors (VOD) is available from April 2010 to December 2016.\n",
+    "# Therefore here we remove Jan-Feb-Mar 2016.\n",
+    "lai_data = lai_data.loc[\"2010-04-01\":\"2016-12-31\"]\n",
+    "lai_data[0].plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "138e61d4",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/moc0/miniconda3/envs/ml-fuel/lib/python3.8/site-packages/dask/array/numpy_compat.py:40: RuntimeWarning: invalid value encountered in true_divide\n",
+      "  x = np.divide(x1, x2, out)\n",
+      "/home/moc0/miniconda3/envs/ml-fuel/lib/python3.8/site-packages/dask/array/numpy_compat.py:40: RuntimeWarning: invalid value encountered in true_divide\n",
+      "  x = np.divide(x1, x2, out)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Mask using the load\n",
+    "lai_data = lai_data.where(load_data >= 0)\n",
+    "lai_data[0].plot()\n",
+    "\n",
+    "# Store data, if needed.\n",
+    "lai_data.to_netcdf(folder_path + \"lai_2010-2016.nc\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "52c4177f",
+   "metadata": {},
+   "source": [
+    "## Vegetation Optical Depth (VDO)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "a62d2fbd",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/moc0/miniconda3/envs/ml-fuel/lib/python3.8/site-packages/dask/array/numpy_compat.py:40: RuntimeWarning: invalid value encountered in true_divide\n",
+      "  x = np.divide(x1, x2, out)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x7f0e40695940>"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "\"\"\"Load VOD data into an xarray dataset\"\"\"\n",
+    "vodfiles = [\n",
+    "    os.path.join(d, x)\n",
+    "    for year in range(2010, 2017)\n",
+    "    for d, dirs, files in os.walk(\"/data1/downloaded/ESA_VOD/\" + str(year))\n",
+    "    for x in files\n",
+    "    if x.endswith(\".nc\")\n",
+    "]\n",
+    "vod_data = xr.open_mfdataset(vodfiles)\n",
+    "# Select variable of interest: SM_IDW\n",
+    "vod_data = vod_data.SM_IDW\n",
+    "# Calculate monthly means\n",
+    "vod_data = vod_data.resample(time=\"1MS\").mean(dim=\"time\")\n",
+    "# Interpolate to match load's resolution\n",
+    "vod_data = vod_data.interp(\n",
+    "    coords={\n",
+    "        \"latitude\": load_data.latitude.values,\n",
+    "        \"longitude\": load_data.longitude.values,\n",
+    "    },\n",
+    "    method=\"linear\",\n",
+    ")\n",
+    "\n",
+    "vod_data[0].plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "5c0186b3",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/moc0/miniconda3/envs/ml-fuel/lib/python3.8/site-packages/dask/array/numpy_compat.py:40: RuntimeWarning: invalid value encountered in true_divide\n",
+      "  x = np.divide(x1, x2, out)\n",
+      "/home/moc0/miniconda3/envs/ml-fuel/lib/python3.8/site-packages/dask/array/numpy_compat.py:40: RuntimeWarning: invalid value encountered in true_divide\n",
+      "  x = np.divide(x1, x2, out)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Mask using the load\n",
+    "vod_data = vod_data.where(load_data >= 0)\n",
+    "vod_data[0].plot()\n",
+    "\n",
+    "# Store data, if needed.\n",
+    "vod_data.to_netcdf(folder_path + \"vod_2010_2016.nc\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2c3378ef",
+   "metadata": {},
+   "source": [
+    "## Standardised Precipitation Index"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "eaad4f88",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x7f0e404fab80>"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "\"\"\"Load SPI data into an xarray dataset\"\"\"\n",
+    "spi_data = xr.open_mfdataset(\"/data1/raw_data/SPI_GPCC/output_201[0-6]*.nc\")\n",
+    "# Rotate longitude coordinates\n",
+    "spi_data = spi_data.assign_coords(\n",
+    "    longitude=(((spi_data.longitude + 180) % 360) - 180)\n",
+    ").sortby(\"longitude\")\n",
+    "# Interpolate to match load resolution\n",
+    "spi_data = spi_data.interp(\n",
+    "    coords={\n",
+    "        \"latitude\": load_data.latitude.values,\n",
+    "        \"longitude\": load_data.longitude.values,\n",
+    "    },\n",
+    "    method=\"linear\",\n",
+    ")  # Wikilimo used default method ('linear')\n",
+    "# One of the predictors (VOD) is available from April 2010 to December 2016.\n",
+    "# Therefore here we remove Jan-Feb-Mar 2016.\n",
+    "spi_data = spi_data.loc[dict(time=slice(\"2010-04-01\", \"2016-12-31\"))]\n",
+    "spi_data.spi03[0].plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "fc464e8b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Fix time stamps\n",
+    "spi_data[\"time\"] = load_data[\"time\"]\n",
+    "# Mask using the load\n",
+    "spi_data = spi_data.where(load_data >= 0)\n",
+    "spi_data.spi03[0].plot()\n",
+    "\n",
+    "# Store data, if needed.\n",
+    "spi_data.to_netcdf(folder_path + \"spi_2010_2016.nc\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5ac66773",
+   "metadata": {},
+   "source": [
+    "## Weather Anomalies"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "c62bf2e3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x7f0e40b7a5e0>"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "\"\"\"Load Weather data into an xarray dataset\"\"\"\n",
+    "wa_data = xr.open_mfdataset(\"/data1/raw_data/SEAS5_anomalies/S5_anomaly_201[0-6]*.nc\")\n",
+    "# Rotate longitude coordinates\n",
+    "wa_data = wa_data.assign_coords(\n",
+    "    longitude=(((wa_data.longitude + 180) % 360) - 180)\n",
+    ").sortby(\"longitude\")\n",
+    "# Interpolate to match load resolution\n",
+    "wa_data = wa_data.interp(\n",
+    "    coords={\n",
+    "        \"latitude\": load_data.latitude.values,\n",
+    "        \"longitude\": load_data.longitude.values,\n",
+    "    },\n",
+    "    method=\"linear\",\n",
+    ")  # Wikilimo used default method ('linear')\n",
+    "# One of the predictors (VOD) is available from April 2010 to December 2016.\n",
+    "# Therefore here we remove Jan-Feb-Mar 2016.\n",
+    "wa_data = wa_data.loc[dict(time=slice(\"2010-04-01\", \"2016-12-31\"))]\n",
+    "wa_data.d2m[0].plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "5a1d8d43",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Mask using the load\n",
+    "wa_data = wa_data.where(load_data >= 0)\n",
+    "wa_data.d2m[0].plot()\n",
+    "\n",
+    "# Store data, if needed.\n",
+    "wa_data.to_netcdf(folder_path + \"weather_anomalies_2010_2016.nc\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "490bdd01",
+   "metadata": {},
+   "source": [
+    "## Fire anomalies"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "d531a3ab",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.QuadMesh at 0x7f0e4058fc70>"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "\"\"\"Load fire data into an xarray dataset\"\"\"\n",
+    "fa_data = xr.open_mfdataset(\n",
+    "    \"/data1/raw_data/SEAS_FIRE_ANOMALIES_2010_2018/ECMWF_FWI_201[0-6]*_anomaly_m1.nc\"\n",
+    ")\n",
+    "# Rename lat/lon dimensions\n",
+    "fa_data = fa_data.rename({\"lon\": \"longitude\", \"lat\": \"latitude\"})\n",
+    "# Rotate longitude coordinates\n",
+    "fa_data = fa_data.assign_coords(\n",
+    "    longitude=(((fa_data.longitude + 180) % 360) - 180)\n",
+    ").sortby(\"longitude\")\n",
+    "# Interpolate to match load resolution\n",
+    "fa_data = fa_data.interp(\n",
+    "    coords={\n",
+    "        \"latitude\": load_data.latitude.values,\n",
+    "        \"longitude\": load_data.longitude.values,\n",
+    "    },\n",
+    "    method=\"linear\", # danger_risk is an integer but for the purpose of this work it does not matter!\n",
+    ")  # Wikilimo used default method ('linear')\n",
+    "# One of the predictors (VOD) is available from April 2010 to December 2016.\n",
+    "# Therefore here we remove Jan-Feb-Mar 2016.\n",
+    "fa_data = fa_data.loc[dict(time=slice(\"2010-04-01\", \"2016-12-31\"))]\n",
+    "fa_data.fwinx[0].plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "11d727b0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "}\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-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2 {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:      (latitude: 720, longitude: 1440, time: 81)\n",
+       "Coordinates:\n",
+       "  * time         (time) datetime64[ns] 2010-04-01T12:00:00 ... 2016-12-01T12:...\n",
+       "  * latitude     (latitude) float64 -89.88 -89.62 -89.38 ... 89.38 89.62 89.88\n",
+       "  * longitude    (longitude) float32 -179.9 -179.6 -179.4 ... 179.4 179.6 179.9\n",
+       "Data variables:\n",
+       "    danger_risk  (time, latitude, longitude) float32 dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;\n",
+       "    fwinx        (time, latitude, longitude) float32 dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;\n",
+       "    ffmcode      (time, latitude, longitude) float32 dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;\n",
+       "    dufmcode     (time, latitude, longitude) float32 dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;\n",
+       "    drtcode      (time, latitude, longitude) float32 dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;\n",
+       "    infsinx      (time, latitude, longitude) float32 dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;\n",
+       "    fbupinx      (time, latitude, longitude) float32 dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;\n",
+       "    fdsrte       (time, latitude, longitude) float32 dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;\n",
+       "Attributes:\n",
+       "    CDI:          Climate Data Interface version 1.9.8 (https://mpimet.mpg.de...\n",
+       "    Conventions:  CF-1.6\n",
+       "    history:      Sun Apr 25 20:57:44 2021: cdo -R -f nc -remapbil,n320 -setg...\n",
+       "    institution:  European Centre for Medium-Range Weather Forecasts\n",
+       "    CDO:          Climate Data Operators version 1.9.8 (https://mpimet.mpg.de...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-03e6da93-9612-4abd-9f49-24898195e2f3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-03e6da93-9612-4abd-9f49-24898195e2f3' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 720</li><li><span class='xr-has-index'>longitude</span>: 1440</li><li><span class='xr-has-index'>time</span>: 81</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7bdc92fd-3051-4c41-91ff-77cb459186ba' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7bdc92fd-3051-4c41-91ff-77cb459186ba' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>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'>2010-04-01T12:00:00 ... 2016-12-...</div><input id='attrs-12a9a7f5-98c6-40ae-967e-a9f1ea80f738' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12a9a7f5-98c6-40ae-967e-a9f1ea80f738' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac16b646-09a9-489f-a502-2d8d70d75463' class='xr-var-data-in' type='checkbox'><label for='data-ac16b646-09a9-489f-a502-2d8d70d75463' 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>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-04-01T12:00:00.000000000&#x27;, &#x27;2010-05-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2010-06-01T12:00:00.000000000&#x27;, &#x27;2010-07-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2010-08-01T12:00:00.000000000&#x27;, &#x27;2010-09-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2010-10-01T12:00:00.000000000&#x27;, &#x27;2010-11-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2010-12-01T12:00:00.000000000&#x27;, &#x27;2011-01-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2011-02-01T12:00:00.000000000&#x27;, &#x27;2011-03-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2011-04-01T12:00:00.000000000&#x27;, &#x27;2011-05-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2011-06-01T12:00:00.000000000&#x27;, &#x27;2011-07-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2011-08-01T12:00:00.000000000&#x27;, &#x27;2011-09-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2011-10-01T12:00:00.000000000&#x27;, &#x27;2011-11-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2011-12-01T12:00:00.000000000&#x27;, &#x27;2012-01-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2012-02-01T12:00:00.000000000&#x27;, &#x27;2012-03-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2012-04-01T12:00:00.000000000&#x27;, &#x27;2012-05-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2012-06-01T12:00:00.000000000&#x27;, &#x27;2012-07-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2012-08-01T12:00:00.000000000&#x27;, &#x27;2012-09-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2012-10-01T12:00:00.000000000&#x27;, &#x27;2012-11-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2012-12-01T12:00:00.000000000&#x27;, &#x27;2013-01-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2013-02-01T12:00:00.000000000&#x27;, &#x27;2013-03-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2013-04-01T12:00:00.000000000&#x27;, &#x27;2013-05-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2013-06-01T12:00:00.000000000&#x27;, &#x27;2013-07-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2013-08-01T12:00:00.000000000&#x27;, &#x27;2013-09-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2013-10-01T12:00:00.000000000&#x27;, &#x27;2013-11-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2013-12-01T12:00:00.000000000&#x27;, &#x27;2014-01-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2014-02-01T12:00:00.000000000&#x27;, &#x27;2014-03-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2014-04-01T12:00:00.000000000&#x27;, &#x27;2014-05-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2014-06-01T12:00:00.000000000&#x27;, &#x27;2014-07-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2014-08-01T12:00:00.000000000&#x27;, &#x27;2014-09-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2014-10-01T12:00:00.000000000&#x27;, &#x27;2014-11-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2014-12-01T12:00:00.000000000&#x27;, &#x27;2015-01-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2015-02-01T12:00:00.000000000&#x27;, &#x27;2015-03-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2015-04-01T12:00:00.000000000&#x27;, &#x27;2015-05-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2015-06-01T12:00:00.000000000&#x27;, &#x27;2015-07-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2015-08-01T12:00:00.000000000&#x27;, &#x27;2015-09-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2015-10-01T12:00:00.000000000&#x27;, &#x27;2015-11-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2015-12-01T12:00:00.000000000&#x27;, &#x27;2016-01-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2016-02-01T12:00:00.000000000&#x27;, &#x27;2016-03-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2016-04-01T12:00:00.000000000&#x27;, &#x27;2016-05-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2016-06-01T12:00:00.000000000&#x27;, &#x27;2016-07-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2016-08-01T12:00:00.000000000&#x27;, &#x27;2016-09-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2016-10-01T12:00:00.000000000&#x27;, &#x27;2016-11-01T12:00:00.000000000&#x27;,\n",
+       "       &#x27;2016-12-01T12:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-89.88 -89.62 ... 89.62 89.88</div><input id='attrs-586bc86d-ba49-45f8-bf86-0804336c0992' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-586bc86d-ba49-45f8-bf86-0804336c0992' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3de060df-1f5d-469f-bb3b-eeda6206b184' class='xr-var-data-in' type='checkbox'><label for='data-3de060df-1f5d-469f-bb3b-eeda6206b184' 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([-89.875, -89.625, -89.375, ...,  89.375,  89.625,  89.875])</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'>float32</div><div class='xr-var-preview xr-preview'>-179.9 -179.6 ... 179.6 179.9</div><input id='attrs-b0f3fcaf-8ca0-4f4d-8f71-758aceddc77d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b0f3fcaf-8ca0-4f4d-8f71-758aceddc77d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99b79f02-4954-403a-b6f1-e91640341efe' class='xr-var-data-in' type='checkbox'><label for='data-99b79f02-4954-403a-b6f1-e91640341efe' 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([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],\n",
+       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-efca21ad-0de5-4791-a4d4-17cecb05a368' class='xr-section-summary-in' type='checkbox'  checked><label for='section-efca21ad-0de5-4791-a4d4-17cecb05a368' class='xr-section-summary' >Data variables: <span>(8)</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>danger_risk</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;</div><input id='attrs-debcf967-8a4e-4192-b942-16b168981f69' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-debcf967-8a4e-4192-b942-16b168981f69' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e491f18e-56c7-4961-8564-beacc5c3f657' class='xr-var-data-in' type='checkbox'><label for='data-e491f18e-56c7-4961-8564-beacc5c3f657' 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>param :</span></dt><dd>27.212.192</dd><dt><span>institution :</span></dt><dd>ECMWF</dd></dl></div><div class='xr-var-data'><table>\n",
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+       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
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+       "</svg>\n",
+       "</td>\n",
+       "</tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fwinx</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;</div><input id='attrs-1da086aa-81e5-4566-bf9e-2470d1c8125e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1da086aa-81e5-4566-bf9e-2470d1c8125e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c268f9a3-e860-44a2-a6f2-a1e377398a2a' class='xr-var-data-in' type='checkbox'><label for='data-c268f9a3-e860-44a2-a6f2-a1e377398a2a' 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>Forest fire weather index</dd><dt><span>units :</span></dt><dd>Numeric</dd><dt><span>param :</span></dt><dd>5.4.2</dd><dt><span>institution :</span></dt><dd>ECMWF</dd></dl></div><div class='xr-var-data'><table>\n",
+       "<tr>\n",
+       "<td>\n",
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+       "  <thead>\n",
+       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr><th> Bytes </th><td> 335.92 MB </td> <td> 4.15 MB </td></tr>\n",
+       "    <tr><th> Shape </th><td> (81, 720, 1440) </td> <td> (1, 720, 1440) </td></tr>\n",
+       "    <tr><th> Count </th><td> 841 Tasks </td><td> 81 Chunks </td></tr>\n",
+       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
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+       "</svg>\n",
+       "</td>\n",
+       "</tr>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ffmcode</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 720, 1440), meta=np.ndarray&gt;</div><input id='attrs-81ba8fb1-5ccb-47b2-af77-d6fc4cd0b2f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81ba8fb1-5ccb-47b2-af77-d6fc4cd0b2f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f660f5d5-471c-4449-ad55-81327a75049c' class='xr-var-data-in' type='checkbox'><label for='data-f660f5d5-471c-4449-ad55-81327a75049c' 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>Fine fuel moisture code</dd><dt><span>units :</span></dt><dd>Numeric</dd><dt><span>param :</span></dt><dd>6.4.2</dd><dt><span>institution :</span></dt><dd>ECMWF</dd></dl></div><div class='xr-var-data'><table>\n",
+       "<tr>\n",
+       "<td>\n",
+       "<table>\n",
+       "  <thead>\n",
+       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr><th> Bytes </th><td> 335.92 MB </td> <td> 4.15 MB </td></tr>\n",
+       "    <tr><th> Shape </th><td> (81, 720, 1440) </td> <td> (1, 720, 1440) </td></tr>\n",
+       "    <tr><th> Count </th><td> 841 Tasks </td><td> 81 Chunks </td></tr>\n",
+       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
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+       "  <text x=\"10.358973\" y=\"90.358973\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,10.358973,90.358973)\">81</text>\n",
+       "</svg>\n",
+       "</td>\n",
+       "</tr>\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-677374b8-631f-4e5f-8db4-c7616734c5af' class='xr-section-summary-in' type='checkbox'  checked><label for='section-677374b8-631f-4e5f-8db4-c7616734c5af' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>CDI :</span></dt><dd>Climate Data Interface version 1.9.8 (https://mpimet.mpg.de/cdi)</dd><dt><span>Conventions :</span></dt><dd>CF-1.6</dd><dt><span>history :</span></dt><dd>Sun Apr 25 20:57:44 2021: cdo -R -f nc -remapbil,n320 -setgridtype,regular -setmissval,-9999.0 -setdate,20100101 -chname,param5.4.2,fwi -chname,param6.4.2,ffmc -chname,param7.4.2,dmc -chname,param8.4.2,dc -chname,param9.4.2,isi -chname,param10.4.2,bui -chname,param11.4.2,dsr -chname,param27.212.192,danger_risk 20100101/ECMWF_FWI_20100101_1200_anomaly_m1.grib ECMWF_FWI_20100101_1200_anomaly_m1.nc</dd><dt><span>institution :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>CDO :</span></dt><dd>Climate Data Operators version 1.9.8 (https://mpimet.mpg.de/cdo)</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:      (latitude: 720, longitude: 1440, time: 81)\n",
+       "Coordinates:\n",
+       "  * time         (time) datetime64[ns] 2010-04-01T12:00:00 ... 2016-12-01T12:...\n",
+       "  * latitude     (latitude) float64 -89.88 -89.62 -89.38 ... 89.38 89.62 89.88\n",
+       "  * longitude    (longitude) float32 -179.9 -179.6 -179.4 ... 179.4 179.6 179.9\n",
+       "Data variables:\n",
+       "    danger_risk  (time, latitude, longitude) float32 dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>\n",
+       "    fwinx        (time, latitude, longitude) float32 dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>\n",
+       "    ffmcode      (time, latitude, longitude) float32 dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>\n",
+       "    dufmcode     (time, latitude, longitude) float32 dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>\n",
+       "    drtcode      (time, latitude, longitude) float32 dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>\n",
+       "    infsinx      (time, latitude, longitude) float32 dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>\n",
+       "    fbupinx      (time, latitude, longitude) float32 dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>\n",
+       "    fdsrte       (time, latitude, longitude) float32 dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>\n",
+       "Attributes:\n",
+       "    CDI:          Climate Data Interface version 1.9.8 (https://mpimet.mpg.de...\n",
+       "    Conventions:  CF-1.6\n",
+       "    history:      Sun Apr 25 20:57:44 2021: cdo -R -f nc -remapbil,n320 -setg...\n",
+       "    institution:  European Centre for Medium-Range Weather Forecasts\n",
+       "    CDO:          Climate Data Operators version 1.9.8 (https://mpimet.mpg.de..."
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fa_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "729a2a5f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Fix time stamps\n",
+    "fa_data[\"time\"] = load_data[\"time\"]\n",
+    "# Mask using load\n",
+    "fa_data = fa_data.where(load_data >= 0)\n",
+    "fa_data.fwinx[0].plot()\n",
+    "\n",
+    "# Store data, if needed.\n",
+    "fa_data.to_netcdf(folder_path + \"fire_anomalies_2010-2016.nc\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1fd56481",
+   "metadata": {},
+   "source": [
+    "# Convert gridded information to table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9a8e54bf",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/moc0/miniconda3/envs/ml-fuel/lib/python3.8/site-packages/dask/array/numpy_compat.py:40: RuntimeWarning: invalid value encountered in true_divide\n",
+      "  x = np.divide(x1, x2, out)\n",
+      "/home/moc0/miniconda3/envs/ml-fuel/lib/python3.8/site-packages/dask/array/numpy_compat.py:40: RuntimeWarning: invalid value encountered in true_divide\n",
+      "  x = np.divide(x1, x2, out)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Each dataset to be converted to dataframe, removing NAs.\n",
+    "# Note the last three frames have difference labels/row indices compared to the others\n",
+    "# In order to join all the frames, the indices should be resetted (which converts indices to columns)\n",
+    "frames = [\n",
+    "    load_data.to_dataframe(name=\"fuel_load\").dropna().reset_index(),  # outcome (unnamed) feature\n",
+    "    cr_data.to_dataframe(name=\"climatic_region\").dropna().reset_index(),  # static (unnamed) feature\n",
+    "    sl_data.to_dataframe(name=\"slope\").dropna().reset_index(),  # static (unnamed) feature\n",
+    "    biomes_data.to_dataframe(name=\"biome\").dropna().reset_index(),  # static (unnamed) feature\n",
+    "    lai_data.to_dataframe(name=\"lai\").dropna().reset_index(),  # dynamic (unnamed) feature\n",
+    "    vod_data.to_dataframe(name=\"vod\").dropna().reset_index(),  # dynamic (unnamed) feature\n",
+    "    spi_data.to_dataframe().dropna().reset_index(),  # dynamic (named) features\n",
+    "    wa_data.to_dataframe().dropna().reset_index(),  # dynamic (named) features\n",
+    "    fa_data.to_dataframe().dropna().reset_index(),  # dynamic (named) features\n",
+    "]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7fd67d20",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.concat(frames, axis=1, join=\"inner\")\n",
+    "df.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8ddf5e9d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Remove duplicated columns\n",
+    "df = df.loc[:,~df.columns.duplicated()]\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "98e68a53",
+   "metadata": {},
+   "source": [
+    "## Feature engineering"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f0302902",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Extract month and year from time\n",
+    "df[\"year\"] = pd.DatetimeIndex(df[\"time\"]).year\n",
+    "df[\"month\"] = pd.DatetimeIndex(df[\"time\"]).month\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "82ac91be",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Drop column time as no longer needed\n",
+    "df = df.drop([\"time\"], axis=1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a09affb5",
+   "metadata": {},
+   "source": [
+    "### Splitting dataset into train and test sets\n",
+    "\n",
+    "I want to make sure in train and test data we have approximately the same proportion of biomes. In order to achieve that we use stratified sampling."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fcc3cde5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "train_data, test_data = train_test_split(df, test_size=0.2, stratify=df[\"biome\"], random_state=1)\n",
+    "\n",
+    "train_data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3241af0e",
+   "metadata": {},
+   "source": [
+    "### Normalizing the data\n",
+    "\n",
+    "It would be problematic to feed into a neural network values that all take wildly different ranges. The model might be able to automatically adapt to such heterogeneous data, but it would definitely make learning more difficult. A widespread best practice to deal with such data is to do feature-wise normalization: for each feature in the input data (a column in the input data matrix), you subtract the mean of the feature and divide by the standard deviation, so that the feature is centered around 0 and has a unit standard deviation. This is easily done in NumPy."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b501cd1a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Normalizing the data\n",
+    "mean = train_data.mean(axis=0)\n",
+    "std = train_data.std(axis=0)\n",
+    "\n",
+    "train_data -= mean\n",
+    "train_data /= std\n",
+    "\n",
+    "test_data -= mean\n",
+    "test_data /= std\n",
+    "\n",
+    "train_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f795e48e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Save mean and standard deviation of the training set for later use\n",
+    "d = {'mean': mean, 'std': std}\n",
+    "df_stats = pd.DataFrame(data=d)\n",
+    "\n",
+    "df_stats.to_csv(\"/home/moc0/ai-vegetation-fuel/data/inputs/df_stats.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b088a8b0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Separate features and outcome\n",
+    "train_targets = train_data[\"fuel_load\"]\n",
+    "test_targets = test_data[\"fuel_load\"]\n",
+    "train_data = train_data.drop([\"fuel_load\"], axis=1)\n",
+    "test_data = test_data.drop([\"fuel_load\"], axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fb13ba48",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "train_data.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "162f8f8d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "train_targets.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3f577d47",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "train_data.to_csv(\"/home/moc0/ai-vegetation-fuel/data/inputs/train_data.csv\", index=False)\n",
+    "train_targets.to_csv(\"/home/moc0/ai-vegetation-fuel/data/inputs/train_targets.csv\", index=False)\n",
+    "test_data.to_csv(\"/home/moc0/ai-vegetation-fuel/data/inputs/test_data.csv\", index=False)\n",
+    "test_targets.to_csv(\"/home/moc0/ai-vegetation-fuel/data/inputs/test_targets.csv\", index=False)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/preprocess_all_in_one.ipynb b/notebooks/preprocess_all_in_one.ipynb
deleted file mode 100644
index 35432e3..0000000
--- a/notebooks/preprocess_all_in_one.ipynb
+++ /dev/null
@@ -1,743 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3e50aaae",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "from pathlib import Path\n",
-    "import xarray as xr\n",
-    "import numpy as np\n",
-    "import pandas as pd\n",
-    "from datetime import datetime\n",
-    "import matplotlib.pyplot as plt"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "516565d1",
-   "metadata": {},
-   "source": [
-    "This notebook takes the raw/downloaded information and pre-process it into a format suitable for AI/ML approaches. This pre-processing procedure assumes all gridded data is in the same spatio-temporal resolution."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "7826db32",
-   "metadata": {},
-   "source": [
-    "# Outcome variable (or predictand)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "e08681ba",
-   "metadata": {},
-   "source": [
-    "## Above Ground Biomass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "b2d9b8b4",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\"\"\"Load AGB data into an xarray dataset\"\"\"\n",
-    "agb_data = xr.open_dataset(\"/data1/raw_data/veg_2010_2016/all_veg_data.nc\")\n",
-    "agb_data"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "b349a134",
-   "metadata": {},
-   "source": [
-    "Now select below which data variable you would like to use as outcome, this will be used to mask all the other features."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c3d865a6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# We suggest to select one of the maps by Avitabile et al.\n",
-    "# This is the outcome variable and also works as mask for all the features.\n",
-    "# All the features geerated from here onwards, will depend on this choice!\n",
-    "vartype = \"mean\"  # it can also be '05th' or '95th'\n",
-    "varname = \"abg_avitabile_vod\" + vartype\n",
-    "\n",
-    "agb_data = eval(\"agb_data.\" + varname)\n",
-    "# Units\n",
-    "agb_data.units"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "bfec3ce3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "agb_data"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "373b197b",
-   "metadata": {},
-   "source": [
-    "Please note the units of AGB are Mg/h!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "9b657ed3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "agb_data[0].plot()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8b4db7cb",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# One of the predictors (VOD) is available from April 2010 to December 2016.\n",
-    "# Therefore here we remove Jan-Feb-Mar 2016.\n",
-    "agb_data = agb_data.loc[\"2010-04-01\":\"2016-12-31\"]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "fc726c71",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Mask out where AGB is zero\n",
-    "AGB_THRESH = 0\n",
-    "\n",
-    "agb_data = agb_data.where(agb_data != AGB_THRESH)\n",
-    "agb_data[0].plot()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d211b25d",
-   "metadata": {},
-   "source": [
-    "## Burned Area"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2547c49f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\"\"\"Load BA data into an xarray dataset\"\"\"\n",
-    "ba_data = xr.open_mfdataset(\n",
-    "    \"/data1/raw_data/burned_area_2010_2018/201[0-6]*-ESACCI-L4_FIRE-BA-MODIS-fv5.1.nc\"\n",
-    ")\n",
-    "# Units\n",
-    "ba_data.burned_area.units"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "2d3f8660",
-   "metadata": {},
-   "source": [
-    "Please note the units of BA are m2!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "f512ec0c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Rename lat/lon dimensions\n",
-    "ba_data = ba_data.rename({\"lon\": \"longitude\", \"lat\": \"latitude\"})\n",
-    "# Extract only burned areas\n",
-    "ba_data = ba_data.burned_area\n",
-    "\n",
-    "ba_data[0].plot()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "10ab31dc",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Convert m2 to hectares\n",
-    "ba_data_h = ba_data * 0.0001\n",
-    "ba_data_h[0].plot()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "e510e5a5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# One of the predictors (VOD) is available from April 2010 to December 2016.\n",
-    "# Therefore here we remove Jan-Feb-Mar 2016.\n",
-    "ba_data_h = ba_data_h.loc[\"2010-04-01\":\"2016-12-31\"]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5f8d0132",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Mask out low values (small fires)\n",
-    "BA_THRESH = 50  # hectares\n",
-    "ba_data_h = ba_data_h.where(ba_data_h > BA_THRESH)\n",
-    "\n",
-    "ba_data_h[0].plot()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "dbb7b5bc",
-   "metadata": {},
-   "source": [
-    "## Load\n",
-    "\n",
-    "The load (Mg) is the Above Ground Biomass (Mg/h) * Burned Area (h). This operation is straightforward because the grids have the same spatial and temporal resolution! Please note the result shows values where both BA and AGB are not equal to NA. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2a99d5e7",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "load_data = agb_data * ba_data_h\n",
-    "load_data[0].plot()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "43d1b7f6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Store data, if needed.\n",
-    "folder_path = \"/home/moc0/ai-vegetation-fuel/data/inputs/nc_files_\" + vartype + \"/\"\n",
-    "Path(folder_path).mkdir(parents=True, exist_ok=True)\n",
-    "load_data.to_netcdf(folder_path + \"load_2010-2016.nc\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3ec0c9ac",
-   "metadata": {},
-   "source": [
-    "# Static predictors"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "1fe89ecd",
-   "metadata": {},
-   "source": [
-    "## Climatic regions"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "745d141b",
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [],
-   "source": [
-    "\"\"\"Load climatic regions data into an xarray dataset\"\"\"\n",
-    "cr_data = xr.open_dataset(\"/data1/raw_data/Beck_KG_V1_present_0p0083.gridName0320.nc\")\n",
-    "# Rotate longitude coordinates\n",
-    "cr_data = cr_data.assign_coords(\n",
-    "    longitude=(((cr_data.longitude + 180) % 360) - 180)\n",
-    ").sortby(\"longitude\")\n",
-    "# Interpolate to match AGB resolution\n",
-    "climate_region = cr_data.climatic_region.interp(\n",
-    "    coords={\n",
-    "        \"latitude\": agb_data.latitude.values,\n",
-    "        \"longitude\": agb_data.longitude.values,\n",
-    "    },\n",
-    "    method=\"nearest\",\n",
-    ")  # Wikilimo used default method ('linear')\n",
-    "climate_region.plot()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "da835da3",
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [],
-   "source": [
-    "# Replicate the same layer 81 times to match load's temporal resolution\n",
-    "cr_data = [climate_region for i in range(0, 81)]\n",
-    "cr_data = xr.concat(cr_data, \"time\")\n",
-    "cr_data[\"time\"] = load_data[\"time\"]\n",
-    "# Mask using the load\n",
-    "cr_data = cr_data.where(load_data >= 0)\n",
-    "cr_data[0].plot()\n",
-    "\n",
-    "# Store data, if needed.\n",
-    "cr_data.to_netcdf(folder_path + \"climatic_region_2010-2016.nc\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "21253f10",
-   "metadata": {},
-   "source": [
-    "## Slope"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "d8795f88",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\"\"\"Load slope data into an xarray dataset\"\"\"\n",
-    "slope_data = xr.open_mfdataset(\"/data1/raw_data/slope_O320.nc\")\n",
-    "# Rotate longitude coordinates\n",
-    "slope_data = slope_data.slor.assign_coords(\n",
-    "    longitude=(((slope_data.longitude + 180) % 360) - 180)\n",
-    ").sortby(\"longitude\")\n",
-    "# Interpolate to match AGB resolution\n",
-    "slope_data = slope_data.interp(\n",
-    "    coords={\n",
-    "        \"latitude\": agb_data.latitude.values,\n",
-    "        \"longitude\": agb_data.longitude.values,\n",
-    "    },\n",
-    "    method=\"linear\",\n",
-    ")  # Wikilimo used default method ('linear')\n",
-    "slope_data.plot()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "462f678b",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Replicate the same layer 81 times to match load's temporal resolution\n",
-    "sl_data = [slope_data for i in range(0, 81)]\n",
-    "sl_data = xr.concat(sl_data, \"time\")\n",
-    "sl_data[\"time\"] = load_data[\"time\"]\n",
-    "# Mask using the load\n",
-    "sl_data = sl_data.where(load_data >= 0)\n",
-    "sl_data[0].plot()\n",
-    "\n",
-    "# Store data, if needed.\n",
-    "sl_data.to_netcdf(folder_path + \"slope_2010-2016.nc\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "ed56e546",
-   "metadata": {},
-   "source": [
-    "## Biomes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "f4eac353",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\"\"\"Load slope data into an xarray dataset\"\"\"\n",
-    "biomes = xr.open_dataset(\"/data1/downloaded/landcover_25.nc\")\n",
-    "# Convert to data array and select the only time step available\n",
-    "biomes = biomes.STRF[0]\n",
-    "biomes.plot()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "8365b359",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Replicate the same layer 81 times to match load's temporal resolution\n",
-    "biomes_data = [biomes for i in range(0, 81)]\n",
-    "biomes_data = xr.concat(biomes_data, \"time\")\n",
-    "biomes_data[\"time\"] = load_data[\"time\"]\n",
-    "# Mask using the load\n",
-    "biomes_data = biomes_data.where(load_data >= 0)\n",
-    "biomes_data[0].plot()\n",
-    "\n",
-    "# Store data, if needed.\n",
-    "biomes_data.to_netcdf(folder_path + \"biomes_2010-2016.nc\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "6aa13e2f",
-   "metadata": {},
-   "source": [
-    "# Dynamic predictors"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "aa0f55fc",
-   "metadata": {},
-   "source": [
-    "## Leaf Area Index\n",
-    "\n",
-    "Remote sensing LAI methods generate a map of dimensionless LAI values assigned to each pixel. Values can range from 0 (bare ground) to 6 or more, but since rangeland vegetation is generally sparse, values commonly range from 0-1. A LAI value of 1 means that there is the equivalent of 1 layer of leaves that entirely cover a unit of ground surface area, and less than one means that there is some bare ground between vegetated patches. LAI values over 1 indicate a layered canopy with multiple layers of leaves per unit ground surface area. LAI and fPAR data are commonly packaged together (e.g., MODIS products)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "d4eb31fd",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\"\"\"Load LAI data into an xarray dataset\"\"\"\n",
-    "lai_data = xr.open_mfdataset(\n",
-    "    \"/data1/raw_data/LAI_interpolated_2010_2017/LAI_201[0-6]*.nc\"\n",
-    ")\n",
-    "# Rename lat/lon dimensions\n",
-    "lai_data = lai_data.LAI.rename({\"lon\": \"longitude\", \"lat\": \"latitude\"})\n",
-    "# Calculate monthly means\n",
-    "lai_data = lai_data.resample(time=\"1MS\").mean(dim=\"time\")\n",
-    "# Interpolate to match AGB resolution\n",
-    "lai_data = lai_data.interp(\n",
-    "    coords={\n",
-    "        \"latitude\": agb_data.latitude.values,\n",
-    "        \"longitude\": agb_data.longitude.values,\n",
-    "    },\n",
-    "    method=\"linear\",\n",
-    ")  # Wikilimo used default method ('linear')\n",
-    "# One of the predictors (VOD) is available from April 2010 to December 2016.\n",
-    "# Therefore here we remove Jan-Feb-Mar 2016.\n",
-    "lai_data = lai_data.loc[\"2010-04-01\":\"2016-12-31\"]\n",
-    "lai_data[0].plot()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "138e61d4",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Mask using the load\n",
-    "lai_data = lai_data.where(load_data >= 0)\n",
-    "lai_data[0].plot()\n",
-    "\n",
-    "# Store data, if needed.\n",
-    "lai_data.to_netcdf(folder_path + \"lai_2010-2016.nc\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "52c4177f",
-   "metadata": {},
-   "source": [
-    "## Vegetation Optical Depth (VDO)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "a62d2fbd",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\"\"\"Load VOD data into an xarray dataset\"\"\"\n",
-    "vodfiles = [\n",
-    "    os.path.join(d, x)\n",
-    "    for year in range(2010, 2017)\n",
-    "    for d, dirs, files in os.walk(\"/data1/downloaded/ESA_VOD/\" + str(year))\n",
-    "    for x in files\n",
-    "    if x.endswith(\".nc\")\n",
-    "]\n",
-    "vod_data = xr.open_mfdataset(vodfiles)\n",
-    "# Select variable of interest: SM_IDW\n",
-    "vod_data = vod_data.SM_IDW\n",
-    "# Calculate monthly means\n",
-    "vod_data = vod_data.resample(time=\"1MS\").mean(dim=\"time\")\n",
-    "# Interpolate to match load's resolution\n",
-    "vod_data = vod_data.interp(\n",
-    "    coords={\n",
-    "        \"latitude\": load_data.latitude.values,\n",
-    "        \"longitude\": load_data.longitude.values,\n",
-    "    },\n",
-    "    method=\"linear\",\n",
-    ")\n",
-    "\n",
-    "vod_data[0].plot()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5c0186b3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Mask using the load\n",
-    "vod_data = vod_data.where(load_data >= 0)\n",
-    "vod_data[0].plot()\n",
-    "\n",
-    "# Store data, if needed.\n",
-    "vod_data.to_netcdf(folder_path + \"vod_2010_2016.nc\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "2c3378ef",
-   "metadata": {},
-   "source": [
-    "## Standardised Precipitation Index"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "eaad4f88",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\"\"\"Load SPI data into an xarray dataset\"\"\"\n",
-    "spi_data = xr.open_mfdataset(\"/data1/raw_data/SPI_GPCC/output_201[0-6]*.nc\")\n",
-    "# Rotate longitude coordinates\n",
-    "spi_data = spi_data.assign_coords(\n",
-    "    longitude=(((spi_data.longitude + 180) % 360) - 180)\n",
-    ").sortby(\"longitude\")\n",
-    "# Interpolate to match load resolution\n",
-    "spi_data = spi_data.interp(\n",
-    "    coords={\n",
-    "        \"latitude\": load_data.latitude.values,\n",
-    "        \"longitude\": load_data.longitude.values,\n",
-    "    },\n",
-    "    method=\"linear\",\n",
-    ")  # Wikilimo used default method ('linear')\n",
-    "# One of the predictors (VOD) is available from April 2010 to December 2016.\n",
-    "# Therefore here we remove Jan-Feb-Mar 2016.\n",
-    "spi_data = spi_data.loc[dict(time=slice(\"2010-04-01\", \"2016-12-31\"))]\n",
-    "spi_data.spi03[0].plot()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "fc464e8b",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Fix time stamps\n",
-    "spi_data[\"time\"] = load_data[\"time\"]\n",
-    "# Mask using the load\n",
-    "spi_data = spi_data.where(load_data >= 0)\n",
-    "spi_data.spi03[0].plot()\n",
-    "\n",
-    "# Store data, if needed.\n",
-    "spi_data.to_netcdf(folder_path + \"spi_2010_2016.nc\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "5ac66773",
-   "metadata": {},
-   "source": [
-    "## Weather Anomalies"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c62bf2e3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\"\"\"Load Weather data into an xarray dataset\"\"\"\n",
-    "wa_data = xr.open_mfdataset(\"/data1/raw_data/SEAS5_anomalies/S5_anomaly_201[0-6]*.nc\")\n",
-    "# Rotate longitude coordinates\n",
-    "wa_data = wa_data.assign_coords(\n",
-    "    longitude=(((wa_data.longitude + 180) % 360) - 180)\n",
-    ").sortby(\"longitude\")\n",
-    "# Interpolate to match load resolution\n",
-    "wa_data = wa_data.interp(\n",
-    "    coords={\n",
-    "        \"latitude\": load_data.latitude.values,\n",
-    "        \"longitude\": load_data.longitude.values,\n",
-    "    },\n",
-    "    method=\"linear\",\n",
-    ")  # Wikilimo used default method ('linear')\n",
-    "# One of the predictors (VOD) is available from April 2010 to December 2016.\n",
-    "# Therefore here we remove Jan-Feb-Mar 2016.\n",
-    "wa_data = wa_data.loc[dict(time=slice(\"2010-04-01\", \"2016-12-31\"))]\n",
-    "wa_data.d2m[0].plot()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5a1d8d43",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Mask using the load\n",
-    "wa_data = wa_data.where(load_data >= 0)\n",
-    "wa_data.d2m[0].plot()\n",
-    "\n",
-    "# Store data, if needed.\n",
-    "wa_data.to_netcdf(folder_path + \"weather_anomalies_2010_2016.nc\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "490bdd01",
-   "metadata": {},
-   "source": [
-    "## Fire anomalies (to be recalculated on Monday 23rd April 2021!)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "d531a3ab",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\"\"\"Load fire data into an xarray dataset\"\"\"\n",
-    "fa_data = xr.open_mfdataset(\n",
-    "    \"/data1/raw_data/SEAS_FIRE_ANOMALIES_2010_2018/ECMWF_FWI_201[0-6]*_anom_m1.nc\"\n",
-    ")\n",
-    "# Rotate longitude coordinates\n",
-    "fa_data = fa_data.assign_coords(\n",
-    "    longitude=(((fa_data.longitude + 180) % 360) - 180)\n",
-    ").sortby(\"longitude\")\n",
-    "# Interpolate to match load resolution\n",
-    "fa_data = fa_data.interp(\n",
-    "    coords={\n",
-    "        \"latitude\": load_data.latitude.values,\n",
-    "        \"longitude\": load_data.longitude.values,\n",
-    "    },\n",
-    "    method=\"linear\",\n",
-    ")  # Wikilimo used default method ('linear')\n",
-    "# One of the predictors (VOD) is available from April 2010 to December 2016.\n",
-    "# Therefore here we remove Jan-Feb-Mar 2016.\n",
-    "fa_data = fa_data.loc[dict(time=slice(\"2010-04-01\", \"2016-12-31\"))]\n",
-    "fa_data.fwinx[0].plot()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "729a2a5f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Mask using load\n",
-    "fa_data = fa_data.where(load_data >= 0)\n",
-    "fa_data.fwinx[0].plot()\n",
-    "\n",
-    "# Store data, if needed.\n",
-    "fa_data.to_netcdf(folder_path + \"fire_anomalies_2010-2016.nc\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "1fd56481",
-   "metadata": {},
-   "source": [
-    "# Convert gridded information to table"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "9a8e54bf",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "frames = [\n",
-    "    load_data.to_dataframe(name=\"fuel_load\").dropna(),  # outcome (unnamed) feature\n",
-    "    cr_data.to_dataframe(name=\"climatic_region\").dropna(),  # static (unnamed) feature\n",
-    "    sl_data.to_dataframe(name=\"slope\").dropna(),  # static (unnamed) feature\n",
-    "    biomes_data.to_dataframe(name=\"biome\").dropna(),  # static (unnamed) feature\n",
-    "    lai_data.to_dataframe(name=\"lai\").dropna(),  # dynamic (unnamed) feature\n",
-    "    vod_data.to_dataframe(name=\"vod\").dropna(),  # dynamic (unnamed) feature\n",
-    "    spi_data.to_dataframe().dropna(),  # dynamic (named) features\n",
-    "    wa_data.to_dataframe().dropna(),  # dynamic (named) features\n",
-    "    fa_data.to_dataframe().dropna(),  # dynamic (named) features\n",
-    "]  \n",
-    "\n",
-    "# Perform an inner join to get rows without NAs\n",
-    "df = pd.concat(frames, join=\"inner\")\n",
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3f577d47",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df.to_csv(\"data/inputs/fuel_load_and_features_dataframe.csv\")"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.8"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}