{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Light (memory) model\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import xarray as xr\n",
    "\n",
    "from seapopym.configuration.no_transport import (\n",
    "    ForcingParameter,\n",
    "    ForcingUnit,\n",
    "    FunctionalGroupParameter,\n",
    "    FunctionalGroupUnit,\n",
    "    FunctionalTypeParameter,\n",
    "    MigratoryTypeParameter,\n",
    "    NoTransportConfiguration,\n",
    ")\n",
    "from seapopym.configuration.no_transport.environment_parameter import ChunkParameter, EnvironmentParameter\n",
    "from seapopym.model.no_transport_model import NoTransportLightModel\n",
    "from seapopym.standard import coordinates\n",
    "from seapopym.standard.units import StandardUnitsLabels\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generating data for the 1D simulation\n",
    "\n",
    "Let's generate some data for the 1D simulation. In this NoTransport model, only temperature and primary production are required. The temperature is generated as a sine wave with a period of 1 year and the primary production is randomly generated.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 900x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "time_axis = coordinates.new_time(pd.date_range(\"2000-01-01\", \"2001-01-01\", freq=\"D\"))\n",
    "n = int(time_axis.size)\n",
    "t = np.linspace(0, 1, n)\n",
    "temperature = 15 + 15 * np.sin(2 * np.pi * t)\n",
    "primary_production = 10 + 5 * np.sin(2 * np.pi * t * 365)\n",
    "\n",
    "temperature = xr.DataArray(\n",
    "    dims=[\"time\", \"latitude\", \"longitude\", \"layer\"],\n",
    "    coords={\n",
    "        \"time\": coordinates.new_time(pd.date_range(\"2000-01-01\", \"2001-01-01\", freq=\"D\")),\n",
    "        \"latitude\": coordinates.new_latitude([0]),\n",
    "        \"longitude\": coordinates.new_longitude([0]),\n",
    "        \"layer\": coordinates.new_layer([0]),\n",
    "    },\n",
    "    attrs={\"units\": StandardUnitsLabels.temperature},\n",
    "    data=temperature[:, np.newaxis, np.newaxis, np.newaxis],\n",
    ")\n",
    "\n",
    "plt.figure(figsize=(9, 3))\n",
    "temperature[:, 0, 0].cf.plot.line(x=\"T\")\n",
    "plt.title(\"Temperature\")\n",
    "plt.show()\n",
    "\n",
    "primary_production = xr.DataArray(\n",
    "    dims=[\"time\", \"latitude\", \"longitude\"],\n",
    "    coords={\n",
    "        \"time\": coordinates.new_time(pd.date_range(\"2000-01-01\", \"2001-01-01\", freq=\"D\")),\n",
    "        \"latitude\": coordinates.new_latitude([0]),\n",
    "        \"longitude\": coordinates.new_longitude([0]),\n",
    "    },\n",
    "    attrs={\"units\": StandardUnitsLabels.production},\n",
    "    data=np.random.rand(367, 1, 1),\n",
    ")\n",
    "\n",
    "plt.figure(figsize=(9, 3))\n",
    "primary_production.plot()\n",
    "plt.title(\"Primary Production\")\n",
    "plt.show()\n",
    "\n",
    "dataset = xr.Dataset({\"temperature\": temperature, \"primary_production\": primary_production})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Initialize the model\n",
    "\n",
    "First we set up the model parameters. We will define a single functional group with the commonly used parameters for the zooplankton in Seapodym LMTL.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 10kB\n",
       "Dimensions:                     (time: 367, latitude: 1, longitude: 1,\n",
       "                                 layer: 1, functional_group: 2, cohort: 11)\n",
       "Coordinates:\n",
       "  * time                        (time) datetime64[ns] 3kB 2000-01-01 ... 2001...\n",
       "  * latitude                    (latitude) int64 8B 0\n",
       "  * longitude                   (longitude) int64 8B 0\n",
       "  * layer                       (layer) int64 8B 0\n",
       "  * cohort                      (cohort) int64 88B 0 1 2 3 4 5 6 7 8 9 10\n",
       "  * functional_group            (functional_group) int64 16B 0 1\n",
       "Data variables: (12/18)\n",
       "    temperature                 (time, latitude, longitude, layer) float64 3kB ...\n",
       "    primary_production          (time, latitude, longitude) float64 3kB 0.793...\n",
       "    name                        (functional_group) &lt;U8 64B &#x27;D0N0&#x27; &#x27;D0N0_BIS&#x27;\n",
       "    energy_transfert            (functional_group) float64 16B 0.1668 0.0834\n",
       "    lambda_temperature_0        (functional_group) float64 16B 0.006667 0.003333\n",
       "    gamma_lambda_temperature    (functional_group) float64 16B 0.15 0.075\n",
       "    ...                          ...\n",
       "    max_timestep                (functional_group, cohort) float64 176B 1.0 ....\n",
       "    mean_timestep               (functional_group, cohort) float64 176B 1.0 ....\n",
       "    timestep                    float64 8B 1.0\n",
       "    angle_horizon_sun           float64 8B 0.0\n",
       "    compute_initial_conditions  bool 1B False\n",
       "    compute_preproduction       bool 1B False</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-86a91d42-6400-4ca3-a938-d70c25a5852b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-86a91d42-6400-4ca3-a938-d70c25a5852b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 367</li><li><span class='xr-has-index'>latitude</span>: 1</li><li><span class='xr-has-index'>longitude</span>: 1</li><li><span class='xr-has-index'>layer</span>: 1</li><li><span class='xr-has-index'>functional_group</span>: 2</li><li><span class='xr-has-index'>cohort</span>: 11</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2e5c5311-28fa-480d-8fa9-f01c791b68fc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2e5c5311-28fa-480d-8fa9-f01c791b68fc' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2000-01-01 ... 2001-01-01</div><input id='attrs-a681fb55-e82d-4625-bcf2-623e3a1b9350' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a681fb55-e82d-4625-bcf2-623e3a1b9350' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-806b2a8f-7f52-444f-8c2c-bb577f86abff' class='xr-var-data-in' type='checkbox'><label for='data-806b2a8f-7f52-444f-8c2c-bb577f86abff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><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;2000-01-01T00:00:00.000000000&#x27;, &#x27;2000-01-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-01-03T00:00:00.000000000&#x27;, ..., &#x27;2000-12-30T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-12-31T00:00:00.000000000&#x27;, &#x27;2001-01-01T00:00:00.000000000&#x27;],\n",
       "      shape=(367,), 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'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-05d3aa9e-9f75-4f41-9832-239a05d45d6e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05d3aa9e-9f75-4f41-9832-239a05d45d6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-542746d7-b70d-4421-a68a-c1297d5c5626' class='xr-var-data-in' type='checkbox'><label for='data-542746d7-b70d-4421-a68a-c1297d5c5626' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-4097d34d-8524-4c8d-aa3c-97059cdfdad3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4097d34d-8524-4c8d-aa3c-97059cdfdad3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7afe99c3-3af4-4e6d-b78a-9ffa9a41b4a6' class='xr-var-data-in' type='checkbox'><label for='data-7afe99c3-3af4-4e6d-b78a-9ffa9a41b4a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>layer</span></div><div class='xr-var-dims'>(layer)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-9782f8c4-c7a3-431e-bc76-6facf9390e9e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9782f8c4-c7a3-431e-bc76-6facf9390e9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dee61e7d-7992-4aca-be8c-9b004a5b3dec' class='xr-var-data-in' type='checkbox'><label for='data-dee61e7d-7992-4aca-be8c-9b004a5b3dec' 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>layer</dd><dt><span>standard_name :</span></dt><dd>layer</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>flag_values :</span></dt><dd>[0]</dd><dt><span>flag_meanings :</span></dt><dd>epipelagic upper-mesopelagic lower-mesopelagic</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>cohort</span></div><div class='xr-var-dims'>(cohort)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9 10</div><input id='attrs-b8a2e774-fc49-4523-b8f3-01d324e1cddc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b8a2e774-fc49-4523-b8f3-01d324e1cddc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cd65dc4-a4a9-4ecf-92df-dbe5d6661faf' class='xr-var-data-in' type='checkbox'><label for='data-8cd65dc4-a4a9-4ecf-92df-dbe5d6661faf' 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>cohort</dd><dt><span>standard_name :</span></dt><dd>cohort</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>functional_group</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1</div><input id='attrs-fa21c9a6-d267-49c1-8462-54cae2ed3c9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa21c9a6-d267-49c1-8462-54cae2ed3c9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-738ba11c-20c4-4e45-9f78-394919487854' class='xr-var-data-in' type='checkbox'><label for='data-738ba11c-20c4-4e45-9f78-394919487854' 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>flag_values :</span></dt><dd>range(0, 2)</dd><dt><span>flag_meanings :</span></dt><dd>D0N0 D0N0_BIS</dd><dt><span>standard_name :</span></dt><dd>functional_group</dd><dt><span>long_name :</span></dt><dd>functional group</dd></dl></div><div class='xr-var-data'><pre>array([0, 1])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e5814a16-206e-4c50-b8b8-f49967fe76d9' class='xr-section-summary-in' type='checkbox'  ><label for='section-e5814a16-206e-4c50-b8b8-f49967fe76d9' class='xr-section-summary' >Data variables: <span>(18)</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>temperature</span></div><div class='xr-var-dims'>(time, latitude, longitude, layer)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 15.26 15.51 ... 14.74 15.0</div><input id='attrs-e743040a-4249-4d20-85f2-e7b611586ded' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e743040a-4249-4d20-85f2-e7b611586ded' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b2f1224-7d63-4ce0-acf4-ee585a6dd87e' class='xr-var-data-in' type='checkbox'><label for='data-1b2f1224-7d63-4ce0-acf4-ee585a6dd87e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_Celsius</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.50000000e+01]]],\n",
       "\n",
       "\n",
       "       [[[1.52574949e+01]]],\n",
       "\n",
       "\n",
       "       [[[1.55149140e+01]]],\n",
       "\n",
       "\n",
       "       [[[1.57721813e+01]]],\n",
       "\n",
       "\n",
       "       [[[1.60292211e+01]]],\n",
       "\n",
       "\n",
       "       [[[1.62859575e+01]]],\n",
       "\n",
       "\n",
       "       [[[1.65423150e+01]]],\n",
       "\n",
       "...\n",
       "\n",
       "       [[[1.34576850e+01]]],\n",
       "\n",
       "\n",
       "       [[[1.37140425e+01]]],\n",
       "\n",
       "\n",
       "       [[[1.39707789e+01]]],\n",
       "\n",
       "\n",
       "       [[[1.42278187e+01]]],\n",
       "\n",
       "\n",
       "       [[[1.44850860e+01]]],\n",
       "\n",
       "\n",
       "       [[[1.47425051e+01]]],\n",
       "\n",
       "\n",
       "       [[[1.50000000e+01]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>primary_production</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'>0.7936 0.1527 ... 0.8473 0.3407</div><input id='attrs-5fdbd74d-328c-49ec-930e-d5e49e814cc6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5fdbd74d-328c-49ec-930e-d5e49e814cc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab681b4a-1a5f-408d-b3da-ff7e3e9718f7' class='xr-var-data-in' type='checkbox'><label for='data-ab681b4a-1a5f-408d-b3da-ff7e3e9718f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kilogram / day / meter ** 2</dd></dl></div><div class='xr-var-data'><pre>array([[[0.79355271]],\n",
       "\n",
       "       [[0.15271976]],\n",
       "\n",
       "       [[0.656222  ]],\n",
       "\n",
       "       [[0.5724233 ]],\n",
       "\n",
       "       [[0.60933407]],\n",
       "\n",
       "       [[0.72385632]],\n",
       "\n",
       "       [[0.79391143]],\n",
       "\n",
       "       [[0.54772632]],\n",
       "\n",
       "       [[0.56883569]],\n",
       "\n",
       "       [[0.2173121 ]],\n",
       "\n",
       "...\n",
       "\n",
       "       [[0.70014506]],\n",
       "\n",
       "       [[0.33254986]],\n",
       "\n",
       "       [[0.13774381]],\n",
       "\n",
       "       [[0.07987521]],\n",
       "\n",
       "       [[0.12176378]],\n",
       "\n",
       "       [[0.08526655]],\n",
       "\n",
       "       [[0.11642395]],\n",
       "\n",
       "       [[0.89875684]],\n",
       "\n",
       "       [[0.8472787 ]],\n",
       "\n",
       "       [[0.34066477]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>name</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>&lt;U8</div><div class='xr-var-preview xr-preview'>&#x27;D0N0&#x27; &#x27;D0N0_BIS&#x27;</div><input id='attrs-d8917212-e3db-40f1-9bde-a0de3b1a74ce' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d8917212-e3db-40f1-9bde-a0de3b1a74ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-509d5c37-3739-4f80-a1a5-1e1a115b5912' class='xr-var-data-in' type='checkbox'><label for='data-509d5c37-3739-4f80-a1a5-1e1a115b5912' 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;D0N0&#x27;, &#x27;D0N0_BIS&#x27;], dtype=&#x27;&lt;U8&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>energy_transfert</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1668 0.0834</div><input id='attrs-ce1227e4-615a-4ac9-9f24-d502393f2eeb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce1227e4-615a-4ac9-9f24-d502393f2eeb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2ed42c4-92c1-436d-b7d6-70c51b2b0aec' class='xr-var-data-in' type='checkbox'><label for='data-b2ed42c4-92c1-436d-b7d6-70c51b2b0aec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dimensionless</dd></dl></div><div class='xr-var-data'><pre>array([0.1668, 0.0834])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lambda_temperature_0</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.006667 0.003333</div><input id='attrs-34d7a4fe-8ab7-4875-949c-973a7812076a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34d7a4fe-8ab7-4875-949c-973a7812076a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03018038-a1fc-4899-a8d8-8fed66daf834' class='xr-var-data-in' type='checkbox'><label for='data-03018038-a1fc-4899-a8d8-8fed66daf834' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1 / day</dd></dl></div><div class='xr-var-data'><pre>array([0.00666667, 0.00333333])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gamma_lambda_temperature</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.15 0.075</div><input id='attrs-6e4d7f4f-1de4-4fcc-b5f5-f1b05a72d704' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e4d7f4f-1de4-4fcc-b5f5-f1b05a72d704' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44ae30de-3695-440f-9099-8fc734bd6352' class='xr-var-data-in' type='checkbox'><label for='data-44ae30de-3695-440f-9099-8fc734bd6352' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1 / delta_degree_Celsius</dd></dl></div><div class='xr-var-data'><pre>array([0.15 , 0.075])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tr_0</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.38 5.19</div><input id='attrs-e9391718-6af5-4c6f-802a-15169e562ae5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e9391718-6af5-4c6f-802a-15169e562ae5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24e4f3fb-4b7c-42fb-80aa-2ffeecd09fde' class='xr-var-data-in' type='checkbox'><label for='data-24e4f3fb-4b7c-42fb-80aa-2ffeecd09fde' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><pre>array([10.38,  5.19])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gamma_tr</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.11 -0.055</div><input id='attrs-fc928eca-e865-4e14-82cb-c9cb710acbf1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc928eca-e865-4e14-82cb-c9cb710acbf1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6100641e-dbc8-4d12-8ea4-1792ea5bbe81' class='xr-var-data-in' type='checkbox'><label for='data-6100641e-dbc8-4d12-8ea4-1792ea5bbe81' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1 / delta_degree_Celsius</dd></dl></div><div class='xr-var-data'><pre>array([-0.11 , -0.055])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>day_layer</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 0</div><input id='attrs-c3b0039d-6976-4c12-8b63-02a4c7663ee7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c3b0039d-6976-4c12-8b63-02a4c7663ee7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34cd3f38-e4a2-4292-8e42-9e29b485c6dd' class='xr-var-data-in' type='checkbox'><label for='data-34cd3f38-e4a2-4292-8e42-9e29b485c6dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>night_layer</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 0</div><input id='attrs-ebdfe01d-c7fb-4a3b-b457-321ef69aa215' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ebdfe01d-c7fb-4a3b-b457-321ef69aa215' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-423d5636-567e-46f2-9c13-fba54d5bf4dc' class='xr-var-data-in' type='checkbox'><label for='data-423d5636-567e-46f2-9c13-fba54d5bf4dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>timesteps_number</span></div><div class='xr-var-dims'>(functional_group, cohort)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... nan nan nan nan</div><input id='attrs-ce1ab033-951d-4cc2-805e-0ab8dad45b3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce1ab033-951d-4cc2-805e-0ab8dad45b3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-497fda49-8ac2-48c8-95be-837d817992cd' class='xr-var-data-in' type='checkbox'><label for='data-497fda49-8ac2-48c8-95be-837d817992cd' 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>description :</span></dt><dd>The number of timesteps represented in the cohort. If there is no aggregation, all values are equal to 1.</dd><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.],\n",
       "       [ 1.,  1.,  1.,  1.,  1.,  1., nan, nan, nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_timestep</span></div><div class='xr-var-dims'>(functional_group, cohort)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 2.0 3.0 4.0 ... nan nan nan nan</div><input id='attrs-30c7ffc1-808e-4cf5-a148-5af0df5f4470' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30c7ffc1-808e-4cf5-a148-5af0df5f4470' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80d4e9f7-3841-444c-8515-fff8dd2503f7' class='xr-var-data-in' type='checkbox'><label for='data-80d4e9f7-3841-444c-8515-fff8dd2503f7' 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>description :</span></dt><dd>The minimum timestep index.</dd><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11.],\n",
       "       [ 1.,  2.,  3.,  4.,  5.,  6., nan, nan, nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_timestep</span></div><div class='xr-var-dims'>(functional_group, cohort)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 2.0 3.0 4.0 ... nan nan nan nan</div><input id='attrs-07f8169e-5355-45d1-a832-ef9f997aeeaf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07f8169e-5355-45d1-a832-ef9f997aeeaf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6fd52178-a963-4617-a945-94bdc788f6f4' class='xr-var-data-in' type='checkbox'><label for='data-6fd52178-a963-4617-a945-94bdc788f6f4' 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>description :</span></dt><dd>The maximum timestep index.</dd><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11.],\n",
       "       [ 1.,  2.,  3.,  4.,  5.,  6., nan, nan, nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_timestep</span></div><div class='xr-var-dims'>(functional_group, cohort)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 2.0 3.0 4.0 ... nan nan nan nan</div><input id='attrs-edb44942-a7a5-4919-8f26-52633698d134' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-edb44942-a7a5-4919-8f26-52633698d134' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26798475-d7d8-4dab-9676-c265963df340' class='xr-var-data-in' type='checkbox'><label for='data-26798475-d7d8-4dab-9676-c265963df340' 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>description :</span></dt><dd>The mean timestep index.</dd><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11.],\n",
       "       [ 1.,  2.,  3.,  4.,  5.,  6., nan, nan, nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>timestep</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0</div><input id='attrs-1e193e2e-7727-4ac2-ad85-91ae29bf0557' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e193e2e-7727-4ac2-ad85-91ae29bf0557' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-185d02c7-06cb-41fb-bc4e-b6db934e9425' class='xr-var-data-in' type='checkbox'><label for='data-185d02c7-06cb-41fb-bc4e-b6db934e9425' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><pre>array(1.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_horizon_sun</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-0bb64f74-995b-4c76-a7a1-ecd7815e722c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0bb64f74-995b-4c76-a7a1-ecd7815e722c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3220a194-388f-4b00-b3df-397e297de251' class='xr-var-data-in' type='checkbox'><label for='data-3220a194-388f-4b00-b3df-397e297de251' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>compute_initial_conditions</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>False</div><input id='attrs-527cd0da-feab-48b6-a9e4-98f253165b1e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-527cd0da-feab-48b6-a9e4-98f253165b1e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6d9be72-74bf-4536-9ef8-91c3a40272cd' class='xr-var-data-in' type='checkbox'><label for='data-f6d9be72-74bf-4536-9ef8-91c3a40272cd' 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(False)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>compute_preproduction</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>False</div><input id='attrs-73c1ac64-1906-4c8b-aee2-3e29003eb282' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-73c1ac64-1906-4c8b-aee2-3e29003eb282' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bef30c67-8c73-4a75-9b36-d5f7d8b26951' class='xr-var-data-in' type='checkbox'><label for='data-bef30c67-8c73-4a75-9b36-d5f7d8b26951' 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(False)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-28865bcf-6755-4ecb-85a6-ac3c6342855e' class='xr-section-summary-in' type='checkbox'  ><label for='section-28865bcf-6755-4ecb-85a6-ac3c6342855e' class='xr-section-summary' >Indexes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-80458f90-baee-4709-af87-7b6172397290' class='xr-index-data-in' type='checkbox'/><label for='index-80458f90-baee-4709-af87-7b6172397290' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2000-01-01&#x27;, &#x27;2000-01-02&#x27;, &#x27;2000-01-03&#x27;, &#x27;2000-01-04&#x27;,\n",
       "               &#x27;2000-01-05&#x27;, &#x27;2000-01-06&#x27;, &#x27;2000-01-07&#x27;, &#x27;2000-01-08&#x27;,\n",
       "               &#x27;2000-01-09&#x27;, &#x27;2000-01-10&#x27;,\n",
       "               ...\n",
       "               &#x27;2000-12-23&#x27;, &#x27;2000-12-24&#x27;, &#x27;2000-12-25&#x27;, &#x27;2000-12-26&#x27;,\n",
       "               &#x27;2000-12-27&#x27;, &#x27;2000-12-28&#x27;, &#x27;2000-12-29&#x27;, &#x27;2000-12-30&#x27;,\n",
       "               &#x27;2000-12-31&#x27;, &#x27;2001-01-01&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=367, freq=&#x27;D&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-c3e29193-b349-4445-9673-9a24686b1493' class='xr-index-data-in' type='checkbox'/><label for='index-c3e29193-b349-4445-9673-9a24686b1493' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0], dtype=&#x27;int64&#x27;, name=&#x27;latitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-799de060-8e1f-4022-8091-e74b16062dd9' class='xr-index-data-in' type='checkbox'/><label for='index-799de060-8e1f-4022-8091-e74b16062dd9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0], dtype=&#x27;int64&#x27;, name=&#x27;longitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>layer</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-43b52313-0a22-4f9c-b5e9-f5b9a80c5d2e' class='xr-index-data-in' type='checkbox'/><label for='index-43b52313-0a22-4f9c-b5e9-f5b9a80c5d2e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0], dtype=&#x27;int64&#x27;, name=&#x27;layer&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>cohort</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-37cbe67d-09dd-4b75-ad85-c64bea2c9400' class='xr-index-data-in' type='checkbox'/><label for='index-37cbe67d-09dd-4b75-ad85-c64bea2c9400' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10], dtype=&#x27;int64&#x27;, name=&#x27;cohort&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>functional_group</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-e945d092-f1f9-41f0-8464-2eb8e4ef7848' class='xr-index-data-in' type='checkbox'/><label for='index-e945d092-f1f9-41f0-8464-2eb8e4ef7848' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1], dtype=&#x27;int64&#x27;, name=&#x27;functional_group&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d42407e2-3d88-44a9-b797-ba9e138eb34d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d42407e2-3d88-44a9-b797-ba9e138eb34d' 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> Size: 10kB\n",
       "Dimensions:                     (time: 367, latitude: 1, longitude: 1,\n",
       "                                 layer: 1, functional_group: 2, cohort: 11)\n",
       "Coordinates:\n",
       "  * time                        (time) datetime64[ns] 3kB 2000-01-01 ... 2001...\n",
       "  * latitude                    (latitude) int64 8B 0\n",
       "  * longitude                   (longitude) int64 8B 0\n",
       "  * layer                       (layer) int64 8B 0\n",
       "  * cohort                      (cohort) int64 88B 0 1 2 3 4 5 6 7 8 9 10\n",
       "  * functional_group            (functional_group) int64 16B 0 1\n",
       "Data variables: (12/18)\n",
       "    temperature                 (time, latitude, longitude, layer) float64 3kB ...\n",
       "    primary_production          (time, latitude, longitude) float64 3kB 0.793...\n",
       "    name                        (functional_group) <U8 64B 'D0N0' 'D0N0_BIS'\n",
       "    energy_transfert            (functional_group) float64 16B 0.1668 0.0834\n",
       "    lambda_temperature_0        (functional_group) float64 16B 0.006667 0.003333\n",
       "    gamma_lambda_temperature    (functional_group) float64 16B 0.15 0.075\n",
       "    ...                          ...\n",
       "    max_timestep                (functional_group, cohort) float64 176B 1.0 ....\n",
       "    mean_timestep               (functional_group, cohort) float64 176B 1.0 ....\n",
       "    timestep                    float64 8B 1.0\n",
       "    angle_horizon_sun           float64 8B 0.0\n",
       "    compute_initial_conditions  bool 1B False\n",
       "    compute_preproduction       bool 1B False"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "day_layer = 0\n",
    "night_layer = 0\n",
    "tr_0 = 10.38\n",
    "gamma_tr = -0.11\n",
    "lambda_temperature_0 = 1 / 150\n",
    "gamma_lambda_temperature = 0.15\n",
    "\n",
    "f_groups = FunctionalGroupParameter(\n",
    "    functional_group=[\n",
    "        FunctionalGroupUnit(\n",
    "            name=f\"D{day_layer}N{night_layer}\",\n",
    "            energy_transfert=0.1668,\n",
    "            migratory_type=MigratoryTypeParameter(day_layer=day_layer, night_layer=night_layer),\n",
    "            functional_type=FunctionalTypeParameter(\n",
    "                lambda_temperature_0=lambda_temperature_0,\n",
    "                gamma_lambda_temperature=gamma_lambda_temperature,\n",
    "                tr_0=tr_0,\n",
    "                gamma_tr=gamma_tr,\n",
    "            ),\n",
    "        ),\n",
    "        FunctionalGroupUnit(\n",
    "            name=f\"D{day_layer}N{night_layer}_BIS\",\n",
    "            energy_transfert=0.1668 / 2,\n",
    "            migratory_type=MigratoryTypeParameter(day_layer=day_layer, night_layer=night_layer),\n",
    "            functional_type=FunctionalTypeParameter(\n",
    "                lambda_temperature_0=lambda_temperature_0 / 2,\n",
    "                gamma_lambda_temperature=gamma_lambda_temperature / 2,\n",
    "                tr_0=tr_0 / 2,\n",
    "                gamma_tr=gamma_tr / 2,\n",
    "            ),\n",
    "        ),\n",
    "    ]\n",
    ")\n",
    "\n",
    "p_param = ForcingParameter(\n",
    "    temperature=ForcingUnit(forcing=dataset[\"temperature\"]),\n",
    "    primary_production=ForcingUnit(forcing=dataset[\"primary_production\"]),\n",
    ")\n",
    "\n",
    "parameters = NoTransportConfiguration(forcing=p_param, functional_group=f_groups)\n",
    "no_transport_model = NoTransportLightModel.from_configuration(configuration=parameters)\n",
    "no_transport_model.state"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'The expected memory usage is 0.05 MB.'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "no_transport_model.expected_memory_usage"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Run the model\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "body[data-theme=\"dark\"],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1f1f1f;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: inline-block;\n",
       "  opacity: 0;\n",
       "  height: 0;\n",
       "}\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:focus + label {\n",
       "  border: 2px solid var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: \"►\";\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: \"▼\";\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 10kB\n",
       "Dimensions:                     (time: 367, latitude: 1, longitude: 1,\n",
       "                                 functional_group: 2, cohort: 11, layer: 1)\n",
       "Coordinates:\n",
       "  * time                        (time) datetime64[ns] 3kB 2000-01-01 ... 2001...\n",
       "  * latitude                    (latitude) int64 8B 0\n",
       "  * longitude                   (longitude) int64 8B 0\n",
       "  * functional_group            (functional_group) int64 16B 0 1\n",
       "  * cohort                      (cohort) int64 88B 0 1 2 3 4 5 6 7 8 9 10\n",
       "  * layer                       (layer) int64 8B 0\n",
       "Data variables: (12/17)\n",
       "    biomass                     (functional_group, time, latitude, longitude) float64 6kB ...\n",
       "    name                        (functional_group) &lt;U8 64B &#x27;D0N0&#x27; &#x27;D0N0_BIS&#x27;\n",
       "    energy_transfert            (functional_group) float64 16B 0.1668 0.0834\n",
       "    lambda_temperature_0        (functional_group) float64 16B 0.006667 0.003333\n",
       "    gamma_lambda_temperature    (functional_group) float64 16B 0.15 0.075\n",
       "    tr_0                        (functional_group) float64 16B 10.38 5.19\n",
       "    ...                          ...\n",
       "    max_timestep                (functional_group, cohort) float64 176B 1.0 ....\n",
       "    mean_timestep               (functional_group, cohort) float64 176B 1.0 ....\n",
       "    timestep                    float64 8B 1.0\n",
       "    angle_horizon_sun           float64 8B 0.0\n",
       "    compute_initial_conditions  bool 1B False\n",
       "    compute_preproduction       bool 1B False</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-caf4c1fd-f86d-4310-9c1d-33996668327c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-caf4c1fd-f86d-4310-9c1d-33996668327c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 367</li><li><span class='xr-has-index'>latitude</span>: 1</li><li><span class='xr-has-index'>longitude</span>: 1</li><li><span class='xr-has-index'>functional_group</span>: 2</li><li><span class='xr-has-index'>cohort</span>: 11</li><li><span class='xr-has-index'>layer</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4038a574-3fe4-4036-b6de-b17e9da118b6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4038a574-3fe4-4036-b6de-b17e9da118b6' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2000-01-01 ... 2001-01-01</div><input id='attrs-4ad981ce-f513-4a1e-b482-d02563bed147' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ad981ce-f513-4a1e-b482-d02563bed147' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1bcced2-a7aa-4e99-bc62-b7e17a451fd8' class='xr-var-data-in' type='checkbox'><label for='data-b1bcced2-a7aa-4e99-bc62-b7e17a451fd8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><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;2000-01-01T00:00:00.000000000&#x27;, &#x27;2000-01-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-01-03T00:00:00.000000000&#x27;, ..., &#x27;2000-12-30T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-12-31T00:00:00.000000000&#x27;, &#x27;2001-01-01T00:00:00.000000000&#x27;],\n",
       "      shape=(367,), 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'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-be5e6c3f-56a1-4794-ac0c-d73a8d41ec72' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be5e6c3f-56a1-4794-ac0c-d73a8d41ec72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63730415-270b-4398-825a-90f037a82561' class='xr-var-data-in' type='checkbox'><label for='data-63730415-270b-4398-825a-90f037a82561' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-50978953-aee8-4ad5-a946-6991f8e5e403' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-50978953-aee8-4ad5-a946-6991f8e5e403' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5ff99f4-bc4c-4f9c-8e89-49e4f2b4a840' class='xr-var-data-in' type='checkbox'><label for='data-a5ff99f4-bc4c-4f9c-8e89-49e4f2b4a840' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>functional_group</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1</div><input id='attrs-d1d17220-9f82-4a2d-8fe0-9c81583d4394' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1d17220-9f82-4a2d-8fe0-9c81583d4394' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd56f72b-14b7-427f-8b37-9fb6055e5b8b' class='xr-var-data-in' type='checkbox'><label for='data-dd56f72b-14b7-427f-8b37-9fb6055e5b8b' 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>flag_values :</span></dt><dd>range(0, 2)</dd><dt><span>flag_meanings :</span></dt><dd>D0N0 D0N0_BIS</dd><dt><span>standard_name :</span></dt><dd>functional_group</dd><dt><span>long_name :</span></dt><dd>functional group</dd></dl></div><div class='xr-var-data'><pre>array([0, 1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>cohort</span></div><div class='xr-var-dims'>(cohort)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9 10</div><input id='attrs-badfddea-b861-4479-8274-465d9bdb9ba2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-badfddea-b861-4479-8274-465d9bdb9ba2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43947237-45de-471d-ada9-c6e2e7c6f443' class='xr-var-data-in' type='checkbox'><label for='data-43947237-45de-471d-ada9-c6e2e7c6f443' 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>cohort</dd><dt><span>standard_name :</span></dt><dd>cohort</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>layer</span></div><div class='xr-var-dims'>(layer)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-ee311a91-b48b-41f1-80de-9b20c317224c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee311a91-b48b-41f1-80de-9b20c317224c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-25c1b2e7-2523-431a-9b18-bf991d0efef3' class='xr-var-data-in' type='checkbox'><label for='data-25c1b2e7-2523-431a-9b18-bf991d0efef3' 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>layer</dd><dt><span>standard_name :</span></dt><dd>layer</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>flag_values :</span></dt><dd>[0]</dd><dt><span>flag_meanings :</span></dt><dd>epipelagic upper-mesopelagic lower-mesopelagic</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dd442905-fd8d-4084-86bc-f6e8b4e36e78' class='xr-section-summary-in' type='checkbox'  ><label for='section-dd442905-fd8d-4084-86bc-f6e8b4e36e78' class='xr-section-summary' >Data variables: <span>(17)</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>biomass</span></div><div class='xr-var-dims'>(functional_group, time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.1324 0.1491 ... 5.297 5.318</div><input id='attrs-1bcf1393-a08c-411c-8deb-e47ccd194514' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1bcf1393-a08c-411c-8deb-e47ccd194514' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7079a11b-0c05-4107-a96a-a54aceabf997' class='xr-var-data-in' type='checkbox'><label for='data-7079a11b-0c05-4107-a96a-a54aceabf997' 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>biomass</dd><dt><span>units :</span></dt><dd>kilogram / meter ** 2</dd><dt><span>description :</span></dt><dd>The biomass of the recruited individuals.</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.        ]],\n",
       "\n",
       "        [[0.13236459]],\n",
       "\n",
       "        [[0.14909579]],\n",
       "\n",
       "        [[0.24833224]],\n",
       "\n",
       "        [[0.326143  ]],\n",
       "\n",
       "        [[0.40369743]],\n",
       "\n",
       "        [[0.49350487]],\n",
       "\n",
       "        [[0.58669707]],\n",
       "\n",
       "        [[0.62967303]],\n",
       "\n",
       "        [[0.67069197]],\n",
       "\n",
       "...\n",
       "\n",
       "        [[5.5105205 ]],\n",
       "\n",
       "        [[5.52725041]],\n",
       "\n",
       "        [[5.53627392]],\n",
       "\n",
       "        [[5.51360554]],\n",
       "\n",
       "        [[5.47392679]],\n",
       "\n",
       "        [[5.42880709]],\n",
       "\n",
       "        [[5.38661294]],\n",
       "\n",
       "        [[5.34077481]],\n",
       "\n",
       "        [[5.29696753]],\n",
       "\n",
       "        [[5.31781607]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>name</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>&lt;U8</div><div class='xr-var-preview xr-preview'>&#x27;D0N0&#x27; &#x27;D0N0_BIS&#x27;</div><input id='attrs-99db86f3-9f28-4b54-8a63-d8c815d69617' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-99db86f3-9f28-4b54-8a63-d8c815d69617' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71e9ca28-f781-46fb-b21e-aab5632a91c6' class='xr-var-data-in' type='checkbox'><label for='data-71e9ca28-f781-46fb-b21e-aab5632a91c6' 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;D0N0&#x27;, &#x27;D0N0_BIS&#x27;], dtype=&#x27;&lt;U8&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>energy_transfert</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1668 0.0834</div><input id='attrs-d12d8ebf-d24a-4888-9b8c-65e46b5c21f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d12d8ebf-d24a-4888-9b8c-65e46b5c21f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9111f750-a84a-4e3e-a5d2-df4e2585fd7b' class='xr-var-data-in' type='checkbox'><label for='data-9111f750-a84a-4e3e-a5d2-df4e2585fd7b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dimensionless</dd></dl></div><div class='xr-var-data'><pre>array([0.1668, 0.0834])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lambda_temperature_0</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.006667 0.003333</div><input id='attrs-22798d41-edcd-4e10-a65f-595fa2000f40' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22798d41-edcd-4e10-a65f-595fa2000f40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95ee0b2f-2180-48fb-8e9a-eeab70a3ba21' class='xr-var-data-in' type='checkbox'><label for='data-95ee0b2f-2180-48fb-8e9a-eeab70a3ba21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1 / day</dd></dl></div><div class='xr-var-data'><pre>array([0.00666667, 0.00333333])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gamma_lambda_temperature</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.15 0.075</div><input id='attrs-d8d2131f-d95e-4eba-a349-b1d101acdbbd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8d2131f-d95e-4eba-a349-b1d101acdbbd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-393b51a3-6d9b-4669-9956-470ffb492f29' class='xr-var-data-in' type='checkbox'><label for='data-393b51a3-6d9b-4669-9956-470ffb492f29' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1 / delta_degree_Celsius</dd></dl></div><div class='xr-var-data'><pre>array([0.15 , 0.075])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tr_0</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.38 5.19</div><input id='attrs-0bbfce8d-a4ba-48bd-b940-ba71f6e1cabc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0bbfce8d-a4ba-48bd-b940-ba71f6e1cabc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3df5f3f-ba99-4426-9cb3-d99436ccf71a' class='xr-var-data-in' type='checkbox'><label for='data-a3df5f3f-ba99-4426-9cb3-d99436ccf71a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><pre>array([10.38,  5.19])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gamma_tr</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.11 -0.055</div><input id='attrs-647eea5e-8412-4843-bc4a-99e84d7b6e95' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-647eea5e-8412-4843-bc4a-99e84d7b6e95' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f5e59f6-b86e-484f-ad9b-7330b9fdde5b' class='xr-var-data-in' type='checkbox'><label for='data-2f5e59f6-b86e-484f-ad9b-7330b9fdde5b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1 / delta_degree_Celsius</dd></dl></div><div class='xr-var-data'><pre>array([-0.11 , -0.055])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>day_layer</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 0</div><input id='attrs-5d8cd008-df44-402e-9b4b-5f59db3d8c78' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5d8cd008-df44-402e-9b4b-5f59db3d8c78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ccb6d817-51ca-4dc4-bde4-37493c1edd2d' class='xr-var-data-in' type='checkbox'><label for='data-ccb6d817-51ca-4dc4-bde4-37493c1edd2d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>night_layer</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 0</div><input id='attrs-eecbc852-db57-4427-b2b8-eba3e4575d2e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eecbc852-db57-4427-b2b8-eba3e4575d2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ac9e64a-af25-489a-a423-ffb5b87e3fc5' class='xr-var-data-in' type='checkbox'><label for='data-4ac9e64a-af25-489a-a423-ffb5b87e3fc5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>timesteps_number</span></div><div class='xr-var-dims'>(functional_group, cohort)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... nan nan nan nan</div><input id='attrs-8652f19f-c4f2-4153-9578-700be1b69ea8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8652f19f-c4f2-4153-9578-700be1b69ea8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c7dfd19-ff26-43fc-86ee-8383e58cf371' class='xr-var-data-in' type='checkbox'><label for='data-9c7dfd19-ff26-43fc-86ee-8383e58cf371' 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>description :</span></dt><dd>The number of timesteps represented in the cohort. If there is no aggregation, all values are equal to 1.</dd><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.],\n",
       "       [ 1.,  1.,  1.,  1.,  1.,  1., nan, nan, nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_timestep</span></div><div class='xr-var-dims'>(functional_group, cohort)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 2.0 3.0 4.0 ... nan nan nan nan</div><input id='attrs-1dce6375-4243-4dc9-aa6d-09527967131a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1dce6375-4243-4dc9-aa6d-09527967131a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a36b965-6d9c-41e6-a05b-77c3e2e37284' class='xr-var-data-in' type='checkbox'><label for='data-5a36b965-6d9c-41e6-a05b-77c3e2e37284' 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>description :</span></dt><dd>The minimum timestep index.</dd><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11.],\n",
       "       [ 1.,  2.,  3.,  4.,  5.,  6., nan, nan, nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_timestep</span></div><div class='xr-var-dims'>(functional_group, cohort)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 2.0 3.0 4.0 ... nan nan nan nan</div><input id='attrs-3f41c0d2-cf9b-4969-8cbd-93c33f99bffc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f41c0d2-cf9b-4969-8cbd-93c33f99bffc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d010ca37-414b-4c3e-bc4e-9a3289408d05' class='xr-var-data-in' type='checkbox'><label for='data-d010ca37-414b-4c3e-bc4e-9a3289408d05' 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>description :</span></dt><dd>The maximum timestep index.</dd><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11.],\n",
       "       [ 1.,  2.,  3.,  4.,  5.,  6., nan, nan, nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_timestep</span></div><div class='xr-var-dims'>(functional_group, cohort)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 2.0 3.0 4.0 ... nan nan nan nan</div><input id='attrs-d7d9e7ce-509d-4255-99e5-08ace4cec11e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7d9e7ce-509d-4255-99e5-08ace4cec11e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e54e89b9-5420-4e1f-9fb5-a50b882a3513' class='xr-var-data-in' type='checkbox'><label for='data-e54e89b9-5420-4e1f-9fb5-a50b882a3513' 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>description :</span></dt><dd>The mean timestep index.</dd><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11.],\n",
       "       [ 1.,  2.,  3.,  4.,  5.,  6., nan, nan, nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>timestep</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0</div><input id='attrs-474a2a26-32a1-4d0b-9294-33472cc95e65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-474a2a26-32a1-4d0b-9294-33472cc95e65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41ce07a6-98b9-4ace-8944-de066eaf03d3' class='xr-var-data-in' type='checkbox'><label for='data-41ce07a6-98b9-4ace-8944-de066eaf03d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><pre>array(1.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_horizon_sun</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-5e1b6449-5462-46c3-8082-085dae47cfc6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5e1b6449-5462-46c3-8082-085dae47cfc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea51c6c7-1fe0-42e3-a8df-7bfd51627537' class='xr-var-data-in' type='checkbox'><label for='data-ea51c6c7-1fe0-42e3-a8df-7bfd51627537' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>compute_initial_conditions</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>False</div><input id='attrs-e29d2995-dff3-4ae5-954d-e3c2cf0100ab' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e29d2995-dff3-4ae5-954d-e3c2cf0100ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6baeb2b-4937-4746-9ebc-a5c204bed4cd' class='xr-var-data-in' type='checkbox'><label for='data-c6baeb2b-4937-4746-9ebc-a5c204bed4cd' 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(False)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>compute_preproduction</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>False</div><input id='attrs-f4d4384a-f68f-46ea-bc6f-6b192ba9ec05' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f4d4384a-f68f-46ea-bc6f-6b192ba9ec05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3541a371-6305-42d5-a2fb-fb7f38bc9696' class='xr-var-data-in' type='checkbox'><label for='data-3541a371-6305-42d5-a2fb-fb7f38bc9696' 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(False)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6b547972-7970-40c6-a3bf-7a6a3d491e7c' class='xr-section-summary-in' type='checkbox'  ><label for='section-6b547972-7970-40c6-a3bf-7a6a3d491e7c' class='xr-section-summary' >Indexes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-2c434d74-efc1-41b5-82e8-65ff4f8aeb79' class='xr-index-data-in' type='checkbox'/><label for='index-2c434d74-efc1-41b5-82e8-65ff4f8aeb79' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2000-01-01&#x27;, &#x27;2000-01-02&#x27;, &#x27;2000-01-03&#x27;, &#x27;2000-01-04&#x27;,\n",
       "               &#x27;2000-01-05&#x27;, &#x27;2000-01-06&#x27;, &#x27;2000-01-07&#x27;, &#x27;2000-01-08&#x27;,\n",
       "               &#x27;2000-01-09&#x27;, &#x27;2000-01-10&#x27;,\n",
       "               ...\n",
       "               &#x27;2000-12-23&#x27;, &#x27;2000-12-24&#x27;, &#x27;2000-12-25&#x27;, &#x27;2000-12-26&#x27;,\n",
       "               &#x27;2000-12-27&#x27;, &#x27;2000-12-28&#x27;, &#x27;2000-12-29&#x27;, &#x27;2000-12-30&#x27;,\n",
       "               &#x27;2000-12-31&#x27;, &#x27;2001-01-01&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=367, freq=&#x27;D&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-ec5c1d98-33db-4568-92c9-f1334fd433f2' class='xr-index-data-in' type='checkbox'/><label for='index-ec5c1d98-33db-4568-92c9-f1334fd433f2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0], dtype=&#x27;int64&#x27;, name=&#x27;latitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-a7aa966a-de63-4c72-bb96-c6147bf02770' class='xr-index-data-in' type='checkbox'/><label for='index-a7aa966a-de63-4c72-bb96-c6147bf02770' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0], dtype=&#x27;int64&#x27;, name=&#x27;longitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>functional_group</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-1df6a874-b97f-4c50-87e8-a80e3a4b65c5' class='xr-index-data-in' type='checkbox'/><label for='index-1df6a874-b97f-4c50-87e8-a80e3a4b65c5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1], dtype=&#x27;int64&#x27;, name=&#x27;functional_group&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>cohort</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-9b2ca504-c589-4d60-9753-dcf906ea1008' class='xr-index-data-in' type='checkbox'/><label for='index-9b2ca504-c589-4d60-9753-dcf906ea1008' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10], dtype=&#x27;int64&#x27;, name=&#x27;cohort&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>layer</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-1a284c40-63c7-4133-a956-84ec8962e9f3' class='xr-index-data-in' type='checkbox'/><label for='index-1a284c40-63c7-4133-a956-84ec8962e9f3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0], dtype=&#x27;int64&#x27;, name=&#x27;layer&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-982f7a0c-ac9e-4876-a0ae-55fa81ea4d97' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-982f7a0c-ac9e-4876-a0ae-55fa81ea4d97' 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> Size: 10kB\n",
       "Dimensions:                     (time: 367, latitude: 1, longitude: 1,\n",
       "                                 functional_group: 2, cohort: 11, layer: 1)\n",
       "Coordinates:\n",
       "  * time                        (time) datetime64[ns] 3kB 2000-01-01 ... 2001...\n",
       "  * latitude                    (latitude) int64 8B 0\n",
       "  * longitude                   (longitude) int64 8B 0\n",
       "  * functional_group            (functional_group) int64 16B 0 1\n",
       "  * cohort                      (cohort) int64 88B 0 1 2 3 4 5 6 7 8 9 10\n",
       "  * layer                       (layer) int64 8B 0\n",
       "Data variables: (12/17)\n",
       "    biomass                     (functional_group, time, latitude, longitude) float64 6kB ...\n",
       "    name                        (functional_group) <U8 64B 'D0N0' 'D0N0_BIS'\n",
       "    energy_transfert            (functional_group) float64 16B 0.1668 0.0834\n",
       "    lambda_temperature_0        (functional_group) float64 16B 0.006667 0.003333\n",
       "    gamma_lambda_temperature    (functional_group) float64 16B 0.15 0.075\n",
       "    tr_0                        (functional_group) float64 16B 10.38 5.19\n",
       "    ...                          ...\n",
       "    max_timestep                (functional_group, cohort) float64 176B 1.0 ....\n",
       "    mean_timestep               (functional_group, cohort) float64 176B 1.0 ....\n",
       "    timestep                    float64 8B 1.0\n",
       "    angle_horizon_sun           float64 8B 0.0\n",
       "    compute_initial_conditions  bool 1B False\n",
       "    compute_preproduction       bool 1B False"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "no_transport_model.run()\n",
    "no_transport_model.state"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting the results\n",
    "\n",
    "### The biomass evolution over time\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(9, 3))\n",
    "no_transport_model.state[\"biomass\"].mean([\"latitude\", \"longitude\"]).plot(\n",
    "    label=\"Zoo Seapopym\", x=\"time\", hue=\"functional_group\"\n",
    ")\n",
    "plt.legend()\n",
    "plt.title(\"Evolution of the biomass\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## And now let's do it in parallel\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\"> </div>\n",
       "    <div style=\"margin-left: 48px;\">\n",
       "        <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-85ead76e-51d3-11f0-a89a-36240d3e2cc2</p>\n",
       "        <table style=\"width: 100%; text-align: left;\">\n",
       "\n",
       "        <tr>\n",
       "        \n",
       "            <td style=\"text-align: left;\"><strong>Connection method:</strong> Cluster object</td>\n",
       "            <td style=\"text-align: left;\"><strong>Cluster type:</strong> distributed.LocalCluster</td>\n",
       "        \n",
       "        </tr>\n",
       "\n",
       "        \n",
       "            <tr>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
       "                </td>\n",
       "                <td style=\"text-align: left;\"></td>\n",
       "            </tr>\n",
       "        \n",
       "\n",
       "        </table>\n",
       "\n",
       "        \n",
       "\n",
       "        \n",
       "            <details>\n",
       "            <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Cluster Info</h3></summary>\n",
       "            <div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-mod-trusted jp-OutputArea-output\">\n",
       "    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\">\n",
       "    </div>\n",
       "    <div style=\"margin-left: 48px;\">\n",
       "        <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n",
       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">4bde85bc</p>\n",
       "        <table style=\"width: 100%; text-align: left;\">\n",
       "            <tr>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
       "                </td>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Workers:</strong> 4\n",
       "                </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Total threads:</strong> 12\n",
       "                </td>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Total memory:</strong> 48.00 GiB\n",
       "                </td>\n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "    <td style=\"text-align: left;\"><strong>Status:</strong> running</td>\n",
       "    <td style=\"text-align: left;\"><strong>Using processes:</strong> True</td>\n",
       "</tr>\n",
       "\n",
       "            \n",
       "        </table>\n",
       "\n",
       "        <details>\n",
       "            <summary style=\"margin-bottom: 20px;\">\n",
       "                <h3 style=\"display: inline;\">Scheduler Info</h3>\n",
       "            </summary>\n",
       "\n",
       "            <div style=\"\">\n",
       "    <div>\n",
       "        <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n",
       "        <div style=\"margin-left: 48px;\">\n",
       "            <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
       "            <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-8f12a22d-01a3-4d90-a937-877a69920ebf</p>\n",
       "            <table style=\"width: 100%; text-align: left;\">\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Comm:</strong> tcp://127.0.0.1:59375\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Workers:</strong> 0 \n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Total threads:</strong> 0\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Started:</strong> Just now\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Total memory:</strong> 0 B\n",
       "                    </td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "\n",
       "    <details style=\"margin-left: 48px;\">\n",
       "        <summary style=\"margin-bottom: 20px;\">\n",
       "            <h3 style=\"display: inline;\">Workers</h3>\n",
       "        </summary>\n",
       "\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:59386\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 3\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:59388/status\" target=\"_blank\">http://127.0.0.1:59388/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 12.00 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:59378\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /var/folders/z_/8j3qx1mn0299kkpjgz9g53780000gq/T/dask-scratch-space/worker-tq35pxlm\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:59387\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 3\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:59389/status\" target=\"_blank\">http://127.0.0.1:59389/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 12.00 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:59380\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /var/folders/z_/8j3qx1mn0299kkpjgz9g53780000gq/T/dask-scratch-space/worker-x2fjybze\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:59392\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 3\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:59393/status\" target=\"_blank\">http://127.0.0.1:59393/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 12.00 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:59382\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /var/folders/z_/8j3qx1mn0299kkpjgz9g53780000gq/T/dask-scratch-space/worker-kmoium0a\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:59395\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 3\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:59396/status\" target=\"_blank\">http://127.0.0.1:59396/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 12.00 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:59384\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /var/folders/z_/8j3qx1mn0299kkpjgz9g53780000gq/T/dask-scratch-space/worker-ldsoxipn\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "\n",
       "    </details>\n",
       "</div>\n",
       "\n",
       "        </details>\n",
       "    </div>\n",
       "</div>\n",
       "            </details>\n",
       "        \n",
       "\n",
       "    </div>\n",
       "</div>"
      ],
      "text/plain": [
       "<Client: 'tcp://127.0.0.1:59375' processes=4 threads=12, memory=48.00 GiB>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from dask.distributed import Client\n",
    "\n",
    "client = Client()\n",
    "client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "p_param = ForcingParameter(\n",
    "    temperature=ForcingUnit(forcing=dataset[\"temperature\"]),\n",
    "    primary_production=ForcingUnit(forcing=dataset[\"primary_production\"]),\n",
    ")\n",
    "environment = EnvironmentParameter(chunk=ChunkParameter())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 10kB\n",
       "Dimensions:                     (time: 367, latitude: 1, longitude: 1,\n",
       "                                 layer: 1, functional_group: 2, cohort: 11)\n",
       "Coordinates:\n",
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       "  * cohort                      (cohort) int64 88B 0 1 2 3 4 5 6 7 8 9 10\n",
       "  * functional_group            (functional_group) int64 16B 0 1\n",
       "Data variables: (12/18)\n",
       "    temperature                 (time, latitude, longitude, layer) float64 3kB dask.array&lt;chunksize=(367, 1, 1, 1), meta=np.ndarray&gt;\n",
       "    primary_production          (time, latitude, longitude) float64 3kB dask.array&lt;chunksize=(367, 1, 1), meta=np.ndarray&gt;\n",
       "    name                        (functional_group) &lt;U8 64B dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
       "    energy_transfert            (functional_group) float64 16B dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
       "    lambda_temperature_0        (functional_group) float64 16B dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
       "    gamma_lambda_temperature    (functional_group) float64 16B dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
       "    ...                          ...\n",
       "    max_timestep                (functional_group, cohort) float64 176B dask.array&lt;chunksize=(1, 11), meta=np.ndarray&gt;\n",
       "    mean_timestep               (functional_group, cohort) float64 176B dask.array&lt;chunksize=(1, 11), meta=np.ndarray&gt;\n",
       "    timestep                    float64 8B 1.0\n",
       "    angle_horizon_sun           float64 8B 0.0\n",
       "    compute_initial_conditions  bool 1B False\n",
       "    compute_preproduction       bool 1B False</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-56c4e3f2-404c-4920-9c16-dd5a179b9e87' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-56c4e3f2-404c-4920-9c16-dd5a179b9e87' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 367</li><li><span class='xr-has-index'>latitude</span>: 1</li><li><span class='xr-has-index'>longitude</span>: 1</li><li><span class='xr-has-index'>layer</span>: 1</li><li><span class='xr-has-index'>functional_group</span>: 2</li><li><span class='xr-has-index'>cohort</span>: 11</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-90f57d69-9251-4075-af55-255de0f609fc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-90f57d69-9251-4075-af55-255de0f609fc' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2000-01-01 ... 2001-01-01</div><input id='attrs-ba2e48c0-3901-48d8-9aa0-01c911157cba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba2e48c0-3901-48d8-9aa0-01c911157cba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c8b4132-427e-4fa1-8d9b-d3d09e2dfb2f' class='xr-var-data-in' type='checkbox'><label for='data-6c8b4132-427e-4fa1-8d9b-d3d09e2dfb2f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><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;2000-01-01T00:00:00.000000000&#x27;, &#x27;2000-01-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-01-03T00:00:00.000000000&#x27;, ..., &#x27;2000-12-30T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-12-31T00:00:00.000000000&#x27;, &#x27;2001-01-01T00:00:00.000000000&#x27;],\n",
       "      shape=(367,), 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'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-6cc40dbd-1d6b-40b4-a33e-800da433926e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6cc40dbd-1d6b-40b4-a33e-800da433926e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0850658-ef8c-41e1-82ff-cc5ee421f902' class='xr-var-data-in' type='checkbox'><label for='data-f0850658-ef8c-41e1-82ff-cc5ee421f902' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-98d7c3ee-ac5a-4b6d-90c5-6374e87b957f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98d7c3ee-ac5a-4b6d-90c5-6374e87b957f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7461d627-5e0a-4527-af07-e40b0d01161e' class='xr-var-data-in' type='checkbox'><label for='data-7461d627-5e0a-4527-af07-e40b0d01161e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>layer</span></div><div class='xr-var-dims'>(layer)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-fb69c622-861f-47aa-bc38-5c42f80435b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb69c622-861f-47aa-bc38-5c42f80435b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-687729ea-b2f7-4246-8ac8-a973dd8307fb' class='xr-var-data-in' type='checkbox'><label for='data-687729ea-b2f7-4246-8ac8-a973dd8307fb' 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>layer</dd><dt><span>standard_name :</span></dt><dd>layer</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>flag_values :</span></dt><dd>[0]</dd><dt><span>flag_meanings :</span></dt><dd>epipelagic upper-mesopelagic lower-mesopelagic</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>cohort</span></div><div class='xr-var-dims'>(cohort)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9 10</div><input id='attrs-dcd8cb8e-92b8-4f7f-97cc-1674aae26152' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dcd8cb8e-92b8-4f7f-97cc-1674aae26152' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a64f3448-62f7-4e53-b9f2-c2f6ef6d904a' class='xr-var-data-in' type='checkbox'><label for='data-a64f3448-62f7-4e53-b9f2-c2f6ef6d904a' 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>cohort</dd><dt><span>standard_name :</span></dt><dd>cohort</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>functional_group</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1</div><input id='attrs-f82649a2-3af0-4f29-8498-ee84a107238a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f82649a2-3af0-4f29-8498-ee84a107238a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d7f687e-e4b7-47f8-8cee-699436232856' class='xr-var-data-in' type='checkbox'><label for='data-0d7f687e-e4b7-47f8-8cee-699436232856' 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>flag_values :</span></dt><dd>range(0, 2)</dd><dt><span>flag_meanings :</span></dt><dd>D0N0 D0N0_BIS</dd><dt><span>standard_name :</span></dt><dd>functional_group</dd><dt><span>long_name :</span></dt><dd>functional group</dd></dl></div><div class='xr-var-data'><pre>array([0, 1])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-16591f87-b890-4b47-a0b0-18f9cb2c841c' class='xr-section-summary-in' type='checkbox'  ><label for='section-16591f87-b890-4b47-a0b0-18f9cb2c841c' class='xr-section-summary' >Data variables: <span>(18)</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>temperature</span></div><div class='xr-var-dims'>(time, latitude, longitude, layer)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(367, 1, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-e39922e6-aaae-4177-95e5-d997fee2a621' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e39922e6-aaae-4177-95e5-d997fee2a621' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a748cfe6-8156-4d94-b37a-9841f1529c47' class='xr-var-data-in' type='checkbox'><label for='data-a748cfe6-8156-4d94-b37a-9841f1529c47' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_Celsius</dd></dl></div><div 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       "        <td>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.87 kiB </td>\n",
       "                        <td> 2.87 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (367, 1, 1, 1) </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>name</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>&lt;U8</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-e6a0959b-1074-456c-99db-f4a2067106e0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e6a0959b-1074-456c-99db-f4a2067106e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2649efab-8da2-43f4-b3a8-88ab0d67b9d9' class='xr-var-data-in' type='checkbox'><label for='data-2649efab-8da2-43f4-b3a8-88ab0d67b9d9' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 64 B </td>\n",
       "                        <td> 32 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2,) </td>\n",
       "                        <td> (1,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> <U8 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>energy_transfert</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-e289d606-b43a-44c7-b7fb-c66b93a0d77c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e289d606-b43a-44c7-b7fb-c66b93a0d77c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b3ee855-9b76-429a-8af8-62b3be8896d2' class='xr-var-data-in' type='checkbox'><label for='data-3b3ee855-9b76-429a-8af8-62b3be8896d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dimensionless</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 16 B </td>\n",
       "                        <td> 8 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2,) </td>\n",
       "                        <td> (1,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lambda_temperature_0</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-d6e3a0cc-28c0-4fbc-85df-f14622605e2f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d6e3a0cc-28c0-4fbc-85df-f14622605e2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-347be0b6-4d40-4c21-b919-bc29c90bc188' class='xr-var-data-in' type='checkbox'><label for='data-347be0b6-4d40-4c21-b919-bc29c90bc188' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1 / day</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 16 B </td>\n",
       "                        <td> 8 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2,) </td>\n",
       "                        <td> (1,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gamma_lambda_temperature</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-55fc7e12-7464-46be-880e-8e313a32b2b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-55fc7e12-7464-46be-880e-8e313a32b2b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed1b0839-3f7d-4e4f-bc6c-d68374e9e92e' class='xr-var-data-in' type='checkbox'><label for='data-ed1b0839-3f7d-4e4f-bc6c-d68374e9e92e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1 / delta_degree_Celsius</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 16 B </td>\n",
       "                        <td> 8 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2,) </td>\n",
       "                        <td> (1,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tr_0</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-19ffc754-8c35-452b-abc4-7164348c0f1a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-19ffc754-8c35-452b-abc4-7164348c0f1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-312ee087-55fd-4978-b826-35db869d3afd' class='xr-var-data-in' type='checkbox'><label for='data-312ee087-55fd-4978-b826-35db869d3afd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 16 B </td>\n",
       "                        <td> 8 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2,) </td>\n",
       "                        <td> (1,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gamma_tr</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-97293a79-1421-40d1-8f76-6bc389ab9f97' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97293a79-1421-40d1-8f76-6bc389ab9f97' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b8010c8-e5ea-4627-a779-97e2ef7f67fe' class='xr-var-data-in' type='checkbox'><label for='data-1b8010c8-e5ea-4627-a779-97e2ef7f67fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1 / delta_degree_Celsius</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 16 B </td>\n",
       "                        <td> 8 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2,) </td>\n",
       "                        <td> (1,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>day_layer</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-979ef741-9b2a-46ff-b29e-0e848db39b37' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-979ef741-9b2a-46ff-b29e-0e848db39b37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a627d018-a83f-4ed1-869e-347bbebc3f46' class='xr-var-data-in' type='checkbox'><label for='data-a627d018-a83f-4ed1-869e-347bbebc3f46' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 16 B </td>\n",
       "                        <td> 8 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2,) </td>\n",
       "                        <td> (1,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> int64 numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>night_layer</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-9ded639b-8ba3-45cc-90c1-237ed42de868' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9ded639b-8ba3-45cc-90c1-237ed42de868' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4bee5f7b-5fae-4f47-86c8-406e68ab9d68' class='xr-var-data-in' type='checkbox'><label for='data-4bee5f7b-5fae-4f47-86c8-406e68ab9d68' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 16 B </td>\n",
       "                        <td> 8 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2,) </td>\n",
       "                        <td> (1,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> int64 numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"110\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>timesteps_number</span></div><div class='xr-var-dims'>(functional_group, cohort)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 11), meta=np.ndarray&gt;</div><input id='attrs-9f23589a-dcb8-4932-863e-77c5aef1bcd8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f23589a-dcb8-4932-863e-77c5aef1bcd8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ac48499-67f7-4026-bcc2-abaa69629702' class='xr-var-data-in' type='checkbox'><label for='data-2ac48499-67f7-4026-bcc2-abaa69629702' 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>description :</span></dt><dd>The number of timesteps represented in the cohort. If there is no aggregation, all values are equal to 1.</dd><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 176 B </td>\n",
       "                        <td> 88 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2, 11) </td>\n",
       "                        <td> (1, 11) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"91\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_timestep</span></div><div class='xr-var-dims'>(functional_group, cohort)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 11), meta=np.ndarray&gt;</div><input id='attrs-b055b582-4c4f-41b1-9556-61d26ad7dbf0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b055b582-4c4f-41b1-9556-61d26ad7dbf0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ccea0176-3d5e-47ed-b486-b6b30ed60e15' class='xr-var-data-in' type='checkbox'><label for='data-ccea0176-3d5e-47ed-b486-b6b30ed60e15' 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>description :</span></dt><dd>The minimum timestep index.</dd><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 176 B </td>\n",
       "                        <td> 88 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2, 11) </td>\n",
       "                        <td> (1, 11) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"91\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_timestep</span></div><div class='xr-var-dims'>(functional_group, cohort)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 11), meta=np.ndarray&gt;</div><input id='attrs-6a6e4e54-6a9e-49d9-a382-704491eb5eb4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a6e4e54-6a9e-49d9-a382-704491eb5eb4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ed213e7-628a-4735-b21b-6df89cb73dc8' class='xr-var-data-in' type='checkbox'><label for='data-6ed213e7-628a-4735-b21b-6df89cb73dc8' 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>description :</span></dt><dd>The maximum timestep index.</dd><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 176 B </td>\n",
       "                        <td> 88 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2, 11) </td>\n",
       "                        <td> (1, 11) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_timestep</span></div><div class='xr-var-dims'>(functional_group, cohort)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 11), meta=np.ndarray&gt;</div><input id='attrs-50edb84b-e16a-4a2b-9845-b0bdee84892e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-50edb84b-e16a-4a2b-9845-b0bdee84892e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7225c3f3-5865-4028-8c7e-eae2d18915a8' class='xr-var-data-in' type='checkbox'><label for='data-7225c3f3-5865-4028-8c7e-eae2d18915a8' 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>description :</span></dt><dd>The mean timestep index.</dd><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 176 B </td>\n",
       "                        <td> 88 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2, 11) </td>\n",
       "                        <td> (1, 11) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"91\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>timestep</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0</div><input id='attrs-5aa0600b-2f79-4a2f-b3fd-b172d01a4d16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5aa0600b-2f79-4a2f-b3fd-b172d01a4d16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1673d8d5-914a-42ce-939f-64ee657a8805' class='xr-var-data-in' type='checkbox'><label for='data-1673d8d5-914a-42ce-939f-64ee657a8805' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><pre>array(1.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_horizon_sun</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-4d6929c7-82b0-44f4-b81e-20b44fc7d0c4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4d6929c7-82b0-44f4-b81e-20b44fc7d0c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43b0988f-397e-409d-8419-744ea16fd62a' class='xr-var-data-in' type='checkbox'><label for='data-43b0988f-397e-409d-8419-744ea16fd62a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>compute_initial_conditions</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>False</div><input id='attrs-5c89e27a-d9cb-43b7-b18d-152eec059da7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5c89e27a-d9cb-43b7-b18d-152eec059da7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f326370e-2571-4483-a924-f943455cd20b' class='xr-var-data-in' type='checkbox'><label for='data-f326370e-2571-4483-a924-f943455cd20b' 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(False)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>compute_preproduction</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>False</div><input id='attrs-7f747c7f-deba-48d0-8ef7-d6d4bdecd4f7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7f747c7f-deba-48d0-8ef7-d6d4bdecd4f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c1712f0-7c4c-4778-9ce3-98c2ba0da6a7' class='xr-var-data-in' type='checkbox'><label for='data-8c1712f0-7c4c-4778-9ce3-98c2ba0da6a7' 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(False)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b5048a17-9601-4817-b74a-f7532d6669d6' class='xr-section-summary-in' type='checkbox'  ><label for='section-b5048a17-9601-4817-b74a-f7532d6669d6' class='xr-section-summary' >Indexes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-d6d15b49-e3c8-4631-9308-3a48e727853c' class='xr-index-data-in' type='checkbox'/><label for='index-d6d15b49-e3c8-4631-9308-3a48e727853c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2000-01-01&#x27;, &#x27;2000-01-02&#x27;, &#x27;2000-01-03&#x27;, &#x27;2000-01-04&#x27;,\n",
       "               &#x27;2000-01-05&#x27;, &#x27;2000-01-06&#x27;, &#x27;2000-01-07&#x27;, &#x27;2000-01-08&#x27;,\n",
       "               &#x27;2000-01-09&#x27;, &#x27;2000-01-10&#x27;,\n",
       "               ...\n",
       "               &#x27;2000-12-23&#x27;, &#x27;2000-12-24&#x27;, &#x27;2000-12-25&#x27;, &#x27;2000-12-26&#x27;,\n",
       "               &#x27;2000-12-27&#x27;, &#x27;2000-12-28&#x27;, &#x27;2000-12-29&#x27;, &#x27;2000-12-30&#x27;,\n",
       "               &#x27;2000-12-31&#x27;, &#x27;2001-01-01&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=367, freq=&#x27;D&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-8200e5db-3952-4c46-9308-d059678406f1' class='xr-index-data-in' type='checkbox'/><label for='index-8200e5db-3952-4c46-9308-d059678406f1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0], dtype=&#x27;int64&#x27;, name=&#x27;latitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-f21a0a0e-33cd-4821-9893-008b88c9ec19' class='xr-index-data-in' type='checkbox'/><label for='index-f21a0a0e-33cd-4821-9893-008b88c9ec19' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0], dtype=&#x27;int64&#x27;, name=&#x27;longitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>layer</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-e2588ebd-fb16-4e64-aeec-e827aa08a43c' class='xr-index-data-in' type='checkbox'/><label for='index-e2588ebd-fb16-4e64-aeec-e827aa08a43c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0], dtype=&#x27;int64&#x27;, name=&#x27;layer&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>cohort</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-ed603aa5-dbd0-4a1b-88d2-59b29dab1b53' class='xr-index-data-in' type='checkbox'/><label for='index-ed603aa5-dbd0-4a1b-88d2-59b29dab1b53' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10], dtype=&#x27;int64&#x27;, name=&#x27;cohort&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>functional_group</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-25a70b6b-29aa-492a-b9b7-44d8113551e0' class='xr-index-data-in' type='checkbox'/><label for='index-25a70b6b-29aa-492a-b9b7-44d8113551e0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1], dtype=&#x27;int64&#x27;, name=&#x27;functional_group&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0c96e6b4-2671-460c-9a89-d76a7fbe751d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0c96e6b4-2671-460c-9a89-d76a7fbe751d' 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> Size: 10kB\n",
       "Dimensions:                     (time: 367, latitude: 1, longitude: 1,\n",
       "                                 layer: 1, functional_group: 2, cohort: 11)\n",
       "Coordinates:\n",
       "  * time                        (time) datetime64[ns] 3kB 2000-01-01 ... 2001...\n",
       "  * latitude                    (latitude) int64 8B 0\n",
       "  * longitude                   (longitude) int64 8B 0\n",
       "  * layer                       (layer) int64 8B 0\n",
       "  * cohort                      (cohort) int64 88B 0 1 2 3 4 5 6 7 8 9 10\n",
       "  * functional_group            (functional_group) int64 16B 0 1\n",
       "Data variables: (12/18)\n",
       "    temperature                 (time, latitude, longitude, layer) float64 3kB dask.array<chunksize=(367, 1, 1, 1), meta=np.ndarray>\n",
       "    primary_production          (time, latitude, longitude) float64 3kB dask.array<chunksize=(367, 1, 1), meta=np.ndarray>\n",
       "    name                        (functional_group) <U8 64B dask.array<chunksize=(1,), meta=np.ndarray>\n",
       "    energy_transfert            (functional_group) float64 16B dask.array<chunksize=(1,), meta=np.ndarray>\n",
       "    lambda_temperature_0        (functional_group) float64 16B dask.array<chunksize=(1,), meta=np.ndarray>\n",
       "    gamma_lambda_temperature    (functional_group) float64 16B dask.array<chunksize=(1,), meta=np.ndarray>\n",
       "    ...                          ...\n",
       "    max_timestep                (functional_group, cohort) float64 176B dask.array<chunksize=(1, 11), meta=np.ndarray>\n",
       "    mean_timestep               (functional_group, cohort) float64 176B dask.array<chunksize=(1, 11), meta=np.ndarray>\n",
       "    timestep                    float64 8B 1.0\n",
       "    angle_horizon_sun           float64 8B 0.0\n",
       "    compute_initial_conditions  bool 1B False\n",
       "    compute_preproduction       bool 1B False"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "parameters = NoTransportConfiguration(forcing=p_param, functional_group=f_groups, environment=environment)\n",
    "no_transport_model = NoTransportLightModel.from_configuration(configuration=parameters)\n",
    "no_transport_model.state"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "no_transport_model.run()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
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       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 10kB\n",
       "Dimensions:                     (functional_group: 2, time: 367, latitude: 1,\n",
       "                                 longitude: 1, cohort: 11, layer: 1)\n",
       "Coordinates:\n",
       "  * functional_group            (functional_group) int64 16B 0 1\n",
       "  * time                        (time) datetime64[ns] 3kB 2000-01-01 ... 2001...\n",
       "  * latitude                    (latitude) int64 8B 0\n",
       "  * longitude                   (longitude) int64 8B 0\n",
       "  * cohort                      (cohort) int64 88B 0 1 2 3 4 5 6 7 8 9 10\n",
       "  * layer                       (layer) int64 8B 0\n",
       "Data variables: (12/17)\n",
       "    biomass                     (functional_group, time, latitude, longitude) float64 6kB ...\n",
       "    name                        (functional_group) &lt;U8 64B &#x27;D0N0&#x27; &#x27;D0N0_BIS&#x27;\n",
       "    energy_transfert            (functional_group) float64 16B 0.1668 0.0834\n",
       "    lambda_temperature_0        (functional_group) float64 16B 0.006667 0.003333\n",
       "    gamma_lambda_temperature    (functional_group) float64 16B 0.15 0.075\n",
       "    tr_0                        (functional_group) float64 16B 10.38 5.19\n",
       "    ...                          ...\n",
       "    max_timestep                (functional_group, cohort) float64 176B 1.0 ....\n",
       "    mean_timestep               (functional_group, cohort) float64 176B 1.0 ....\n",
       "    timestep                    float64 8B 1.0\n",
       "    angle_horizon_sun           float64 8B 0.0\n",
       "    compute_initial_conditions  bool 1B False\n",
       "    compute_preproduction       bool 1B False</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d7e5e9e4-3ff3-4a57-a9b8-4c06b229de7c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d7e5e9e4-3ff3-4a57-a9b8-4c06b229de7c' 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'>functional_group</span>: 2</li><li><span class='xr-has-index'>time</span>: 367</li><li><span class='xr-has-index'>latitude</span>: 1</li><li><span class='xr-has-index'>longitude</span>: 1</li><li><span class='xr-has-index'>cohort</span>: 11</li><li><span class='xr-has-index'>layer</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8a0786f2-e69d-456f-9042-6e64585f5616' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8a0786f2-e69d-456f-9042-6e64585f5616' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>functional_group</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1</div><input id='attrs-b69d7a46-a551-4c25-8cc8-1893e18c4d79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b69d7a46-a551-4c25-8cc8-1893e18c4d79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac91b92e-520e-4bdb-91a0-1951b7dc502b' class='xr-var-data-in' type='checkbox'><label for='data-ac91b92e-520e-4bdb-91a0-1951b7dc502b' 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>flag_values :</span></dt><dd>range(0, 2)</dd><dt><span>flag_meanings :</span></dt><dd>D0N0 D0N0_BIS</dd><dt><span>standard_name :</span></dt><dd>functional_group</dd><dt><span>long_name :</span></dt><dd>functional group</dd></dl></div><div class='xr-var-data'><pre>array([0, 1])</pre></div></li><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'>2000-01-01 ... 2001-01-01</div><input id='attrs-462921eb-07db-49bf-ba8c-e5f1fc19b278' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-462921eb-07db-49bf-ba8c-e5f1fc19b278' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dda30ebf-39c7-4862-9b56-238be92201e8' class='xr-var-data-in' type='checkbox'><label for='data-dda30ebf-39c7-4862-9b56-238be92201e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><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;2000-01-01T00:00:00.000000000&#x27;, &#x27;2000-01-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-01-03T00:00:00.000000000&#x27;, ..., &#x27;2000-12-30T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-12-31T00:00:00.000000000&#x27;, &#x27;2001-01-01T00:00:00.000000000&#x27;],\n",
       "      shape=(367,), 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'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-b3d2ac1d-3971-458c-bfe1-1d8c0f355f5b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3d2ac1d-3971-458c-bfe1-1d8c0f355f5b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92d826e8-2acb-4b5a-8419-41d5fa3cebbb' class='xr-var-data-in' type='checkbox'><label for='data-92d826e8-2acb-4b5a-8419-41d5fa3cebbb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-b4e7878b-5cf4-4505-b491-8641cbe83da9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4e7878b-5cf4-4505-b491-8641cbe83da9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b18590f-adaa-42e1-ae90-0e1a37537553' class='xr-var-data-in' type='checkbox'><label for='data-9b18590f-adaa-42e1-ae90-0e1a37537553' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>cohort</span></div><div class='xr-var-dims'>(cohort)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9 10</div><input id='attrs-224aa4ea-b0e2-429f-830f-51d0f097b089' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-224aa4ea-b0e2-429f-830f-51d0f097b089' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c58c7fb7-7bf9-4b10-af78-a9ac56fb9bb2' class='xr-var-data-in' type='checkbox'><label for='data-c58c7fb7-7bf9-4b10-af78-a9ac56fb9bb2' 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>cohort</dd><dt><span>standard_name :</span></dt><dd>cohort</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>layer</span></div><div class='xr-var-dims'>(layer)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-fc6551c8-3c33-4d8e-8b0c-d9d6363d2c34' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc6551c8-3c33-4d8e-8b0c-d9d6363d2c34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-087ca521-9f26-4d29-b9c4-ff8181d84850' class='xr-var-data-in' type='checkbox'><label for='data-087ca521-9f26-4d29-b9c4-ff8181d84850' 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>layer</dd><dt><span>standard_name :</span></dt><dd>layer</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>flag_values :</span></dt><dd>[0]</dd><dt><span>flag_meanings :</span></dt><dd>epipelagic upper-mesopelagic lower-mesopelagic</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3cb196f5-035e-438a-94d1-30ec07c2469f' class='xr-section-summary-in' type='checkbox'  ><label for='section-3cb196f5-035e-438a-94d1-30ec07c2469f' class='xr-section-summary' >Data variables: <span>(17)</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>biomass</span></div><div class='xr-var-dims'>(functional_group, time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.1324 0.1491 ... 5.297 5.318</div><input id='attrs-14d7c041-1704-4fa1-bc8b-9d4c467238f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14d7c041-1704-4fa1-bc8b-9d4c467238f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eadd0c5b-587c-4cd0-84c2-1128a4fef1ab' class='xr-var-data-in' type='checkbox'><label for='data-eadd0c5b-587c-4cd0-84c2-1128a4fef1ab' 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>biomass</dd><dt><span>units :</span></dt><dd>kilogram / meter ** 2</dd><dt><span>description :</span></dt><dd>The biomass of the recruited individuals.</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.        ]],\n",
       "\n",
       "        [[0.13236459]],\n",
       "\n",
       "        [[0.14909579]],\n",
       "\n",
       "        [[0.24833224]],\n",
       "\n",
       "        [[0.326143  ]],\n",
       "\n",
       "        [[0.40369743]],\n",
       "\n",
       "        [[0.49350487]],\n",
       "\n",
       "        [[0.58669707]],\n",
       "\n",
       "        [[0.62967303]],\n",
       "\n",
       "        [[0.67069197]],\n",
       "\n",
       "...\n",
       "\n",
       "        [[5.5105205 ]],\n",
       "\n",
       "        [[5.52725041]],\n",
       "\n",
       "        [[5.53627392]],\n",
       "\n",
       "        [[5.51360554]],\n",
       "\n",
       "        [[5.47392679]],\n",
       "\n",
       "        [[5.42880709]],\n",
       "\n",
       "        [[5.38661294]],\n",
       "\n",
       "        [[5.34077481]],\n",
       "\n",
       "        [[5.29696753]],\n",
       "\n",
       "        [[5.31781607]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>name</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>&lt;U8</div><div class='xr-var-preview xr-preview'>&#x27;D0N0&#x27; &#x27;D0N0_BIS&#x27;</div><input id='attrs-b275deb2-7e41-46bd-bb2d-34abb5a5f737' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b275deb2-7e41-46bd-bb2d-34abb5a5f737' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33b38e30-940e-48d5-9f0d-1e05061b9dd8' class='xr-var-data-in' type='checkbox'><label for='data-33b38e30-940e-48d5-9f0d-1e05061b9dd8' 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;D0N0&#x27;, &#x27;D0N0_BIS&#x27;], dtype=&#x27;&lt;U8&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>energy_transfert</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1668 0.0834</div><input id='attrs-32bc10f3-b2ea-4cf0-9af3-dd880747a08a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32bc10f3-b2ea-4cf0-9af3-dd880747a08a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27b5efc0-4c14-4e81-bb3f-07a7c34bbcbe' class='xr-var-data-in' type='checkbox'><label for='data-27b5efc0-4c14-4e81-bb3f-07a7c34bbcbe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dimensionless</dd></dl></div><div class='xr-var-data'><pre>array([0.1668, 0.0834])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lambda_temperature_0</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.006667 0.003333</div><input id='attrs-562e7b39-f7ba-4f3c-98f4-70599d9a7da6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-562e7b39-f7ba-4f3c-98f4-70599d9a7da6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1dc35fad-cc81-478c-8f2e-2faf6ae675f6' class='xr-var-data-in' type='checkbox'><label for='data-1dc35fad-cc81-478c-8f2e-2faf6ae675f6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1 / day</dd></dl></div><div class='xr-var-data'><pre>array([0.00666667, 0.00333333])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gamma_lambda_temperature</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.15 0.075</div><input id='attrs-f101c1b5-cd9e-465e-9c71-3fca0e61ea5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f101c1b5-cd9e-465e-9c71-3fca0e61ea5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a015321-8917-42a2-9c76-356c77c0eb09' class='xr-var-data-in' type='checkbox'><label for='data-2a015321-8917-42a2-9c76-356c77c0eb09' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1 / delta_degree_Celsius</dd></dl></div><div class='xr-var-data'><pre>array([0.15 , 0.075])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tr_0</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.38 5.19</div><input id='attrs-72e2b651-a20d-46fe-bc7a-d5bd24df860e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72e2b651-a20d-46fe-bc7a-d5bd24df860e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cd95af4-c7a4-448a-8efd-d7332964ea43' class='xr-var-data-in' type='checkbox'><label for='data-5cd95af4-c7a4-448a-8efd-d7332964ea43' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><pre>array([10.38,  5.19])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gamma_tr</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.11 -0.055</div><input id='attrs-469a2052-67f2-4fa5-8e40-0eb1cf945cb6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-469a2052-67f2-4fa5-8e40-0eb1cf945cb6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe941bd8-6e03-497f-96f2-454893064a0e' class='xr-var-data-in' type='checkbox'><label for='data-fe941bd8-6e03-497f-96f2-454893064a0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1 / delta_degree_Celsius</dd></dl></div><div class='xr-var-data'><pre>array([-0.11 , -0.055])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>day_layer</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 0</div><input id='attrs-a73ad922-ed7f-4c0a-8ee1-e9334a6c4590' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a73ad922-ed7f-4c0a-8ee1-e9334a6c4590' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ce249f6-8530-48f2-80b7-1fa276d01b67' class='xr-var-data-in' type='checkbox'><label for='data-3ce249f6-8530-48f2-80b7-1fa276d01b67' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>night_layer</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 0</div><input id='attrs-1c4cfbde-4d5f-4e2d-8a03-f26ed14c7ec3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1c4cfbde-4d5f-4e2d-8a03-f26ed14c7ec3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac3fd3af-93e3-4592-9651-de61a94f6d68' class='xr-var-data-in' type='checkbox'><label for='data-ac3fd3af-93e3-4592-9651-de61a94f6d68' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>timesteps_number</span></div><div class='xr-var-dims'>(functional_group, cohort)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 1.0 1.0 1.0 ... nan nan nan nan</div><input id='attrs-b217e02f-4a9e-4a27-8e14-fcc7449d4509' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b217e02f-4a9e-4a27-8e14-fcc7449d4509' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-010e59e4-e095-41b0-96f2-09b72274b7d6' class='xr-var-data-in' type='checkbox'><label for='data-010e59e4-e095-41b0-96f2-09b72274b7d6' 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>description :</span></dt><dd>The number of timesteps represented in the cohort. If there is no aggregation, all values are equal to 1.</dd><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.,  1.],\n",
       "       [ 1.,  1.,  1.,  1.,  1.,  1., nan, nan, nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_timestep</span></div><div class='xr-var-dims'>(functional_group, cohort)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 2.0 3.0 4.0 ... nan nan nan nan</div><input id='attrs-a1d04a1a-2f91-4963-8b73-6cfbd6a1f68f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1d04a1a-2f91-4963-8b73-6cfbd6a1f68f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53b10acc-ada0-4140-b64d-ae2406bcfd37' class='xr-var-data-in' type='checkbox'><label for='data-53b10acc-ada0-4140-b64d-ae2406bcfd37' 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>description :</span></dt><dd>The minimum timestep index.</dd><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11.],\n",
       "       [ 1.,  2.,  3.,  4.,  5.,  6., nan, nan, nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_timestep</span></div><div class='xr-var-dims'>(functional_group, cohort)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 2.0 3.0 4.0 ... nan nan nan nan</div><input id='attrs-97987e92-9696-4f4c-854a-f56bc37ffa66' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97987e92-9696-4f4c-854a-f56bc37ffa66' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fab70baa-cad3-470c-b881-a5914586b713' class='xr-var-data-in' type='checkbox'><label for='data-fab70baa-cad3-470c-b881-a5914586b713' 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>description :</span></dt><dd>The maximum timestep index.</dd><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11.],\n",
       "       [ 1.,  2.,  3.,  4.,  5.,  6., nan, nan, nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_timestep</span></div><div class='xr-var-dims'>(functional_group, cohort)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 2.0 3.0 4.0 ... nan nan nan nan</div><input id='attrs-2f9da88c-54e4-444d-b95c-1234cf82a3ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f9da88c-54e4-444d-b95c-1234cf82a3ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2acdf3f-20fb-41a3-af77-ede76875d219' class='xr-var-data-in' type='checkbox'><label for='data-f2acdf3f-20fb-41a3-af77-ede76875d219' 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>description :</span></dt><dd>The mean timestep index.</dd><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><pre>array([[ 1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11.],\n",
       "       [ 1.,  2.,  3.,  4.,  5.,  6., nan, nan, nan, nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>timestep</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0</div><input id='attrs-b3cc5816-1570-4e31-bb5b-46660cfa78f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3cc5816-1570-4e31-bb5b-46660cfa78f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-367df6eb-ce04-4615-a6d5-3a5d383d45e3' class='xr-var-data-in' type='checkbox'><label for='data-367df6eb-ce04-4615-a6d5-3a5d383d45e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><pre>array(1.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_horizon_sun</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-a03e0281-2cb5-484f-ae76-c025f892d674' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a03e0281-2cb5-484f-ae76-c025f892d674' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35ceb67b-3b2e-4ba2-bb66-289a422a75e0' class='xr-var-data-in' type='checkbox'><label for='data-35ceb67b-3b2e-4ba2-bb66-289a422a75e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>compute_initial_conditions</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>False</div><input id='attrs-897115cb-4b42-4a70-9856-4cccaba42374' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-897115cb-4b42-4a70-9856-4cccaba42374' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c8a2ac6-9bb1-498f-976f-2337823920a3' class='xr-var-data-in' type='checkbox'><label for='data-9c8a2ac6-9bb1-498f-976f-2337823920a3' 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(False)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>compute_preproduction</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>False</div><input id='attrs-ba0ea210-d8d7-4645-bd01-bb2158ef0c92' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ba0ea210-d8d7-4645-bd01-bb2158ef0c92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64f03b6a-c034-4937-bb17-48c3d45db917' class='xr-var-data-in' type='checkbox'><label for='data-64f03b6a-c034-4937-bb17-48c3d45db917' 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(False)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4667fa31-c548-441f-a483-8fad97f5b405' class='xr-section-summary-in' type='checkbox'  ><label for='section-4667fa31-c548-441f-a483-8fad97f5b405' class='xr-section-summary' >Indexes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>functional_group</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-162088ea-9686-4248-8f48-173c96552b7f' class='xr-index-data-in' type='checkbox'/><label for='index-162088ea-9686-4248-8f48-173c96552b7f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1], dtype=&#x27;int64&#x27;, name=&#x27;functional_group&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-ff343a27-8d19-43ea-a185-853344f9411a' class='xr-index-data-in' type='checkbox'/><label for='index-ff343a27-8d19-43ea-a185-853344f9411a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2000-01-01&#x27;, &#x27;2000-01-02&#x27;, &#x27;2000-01-03&#x27;, &#x27;2000-01-04&#x27;,\n",
       "               &#x27;2000-01-05&#x27;, &#x27;2000-01-06&#x27;, &#x27;2000-01-07&#x27;, &#x27;2000-01-08&#x27;,\n",
       "               &#x27;2000-01-09&#x27;, &#x27;2000-01-10&#x27;,\n",
       "               ...\n",
       "               &#x27;2000-12-23&#x27;, &#x27;2000-12-24&#x27;, &#x27;2000-12-25&#x27;, &#x27;2000-12-26&#x27;,\n",
       "               &#x27;2000-12-27&#x27;, &#x27;2000-12-28&#x27;, &#x27;2000-12-29&#x27;, &#x27;2000-12-30&#x27;,\n",
       "               &#x27;2000-12-31&#x27;, &#x27;2001-01-01&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=367, freq=&#x27;D&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-21e9bf60-5017-4565-9e0d-43275385cd28' class='xr-index-data-in' type='checkbox'/><label for='index-21e9bf60-5017-4565-9e0d-43275385cd28' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0], dtype=&#x27;int64&#x27;, name=&#x27;latitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-6e99819d-f57b-4658-9950-eac197b35a7d' class='xr-index-data-in' type='checkbox'/><label for='index-6e99819d-f57b-4658-9950-eac197b35a7d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0], dtype=&#x27;int64&#x27;, name=&#x27;longitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>cohort</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-2509dcf0-a88a-4d24-9dba-eb55f94427e7' class='xr-index-data-in' type='checkbox'/><label for='index-2509dcf0-a88a-4d24-9dba-eb55f94427e7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10], dtype=&#x27;int64&#x27;, name=&#x27;cohort&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>layer</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-4d833e0a-a4a1-4945-9770-c30f2c883eab' class='xr-index-data-in' type='checkbox'/><label for='index-4d833e0a-a4a1-4945-9770-c30f2c883eab' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0], dtype=&#x27;int64&#x27;, name=&#x27;layer&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-05c28985-4d9e-4295-9794-2347c020f570' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-05c28985-4d9e-4295-9794-2347c020f570' 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> Size: 10kB\n",
       "Dimensions:                     (functional_group: 2, time: 367, latitude: 1,\n",
       "                                 longitude: 1, cohort: 11, layer: 1)\n",
       "Coordinates:\n",
       "  * functional_group            (functional_group) int64 16B 0 1\n",
       "  * time                        (time) datetime64[ns] 3kB 2000-01-01 ... 2001...\n",
       "  * latitude                    (latitude) int64 8B 0\n",
       "  * longitude                   (longitude) int64 8B 0\n",
       "  * cohort                      (cohort) int64 88B 0 1 2 3 4 5 6 7 8 9 10\n",
       "  * layer                       (layer) int64 8B 0\n",
       "Data variables: (12/17)\n",
       "    biomass                     (functional_group, time, latitude, longitude) float64 6kB ...\n",
       "    name                        (functional_group) <U8 64B 'D0N0' 'D0N0_BIS'\n",
       "    energy_transfert            (functional_group) float64 16B 0.1668 0.0834\n",
       "    lambda_temperature_0        (functional_group) float64 16B 0.006667 0.003333\n",
       "    gamma_lambda_temperature    (functional_group) float64 16B 0.15 0.075\n",
       "    tr_0                        (functional_group) float64 16B 10.38 5.19\n",
       "    ...                          ...\n",
       "    max_timestep                (functional_group, cohort) float64 176B 1.0 ....\n",
       "    mean_timestep               (functional_group, cohort) float64 176B 1.0 ....\n",
       "    timestep                    float64 8B 1.0\n",
       "    angle_horizon_sun           float64 8B 0.0\n",
       "    compute_initial_conditions  bool 1B False\n",
       "    compute_preproduction       bool 1B False"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "no_transport_model.state.load()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The biomass evolution over time\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 900x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(9, 3))\n",
    "no_transport_model.state[\"biomass\"].mean([\"latitude\", \"longitude\"]).plot(\n",
    "    label=\"Zoo Seapopym\", x=\"time\", hue=\"functional_group\"\n",
    ")\n",
    "plt.legend()\n",
    "plt.title(\"Evolution of the biomass\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Finaly, let's try in weekly time step\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
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       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 1kB\n",
       "Dimensions:             (latitude: 1, longitude: 1, layer: 1, time: 54)\n",
       "Coordinates:\n",
       "  * latitude            (latitude) int64 8B 0\n",
       "  * longitude           (longitude) int64 8B 0\n",
       "  * layer               (layer) int64 8B 0\n",
       "  * time                (time) datetime64[ns] 432B 2000-01-02 ... 2001-01-07\n",
       "Data variables:\n",
       "    temperature         (time, latitude, longitude, layer) float64 432B 15.13...\n",
       "    primary_production  (time, latitude, longitude) float64 432B 0.4731 ... 0...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c2437cd8-6ad1-4d53-9491-e3872c2d7bb0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c2437cd8-6ad1-4d53-9491-e3872c2d7bb0' 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>: 1</li><li><span class='xr-has-index'>longitude</span>: 1</li><li><span class='xr-has-index'>layer</span>: 1</li><li><span class='xr-has-index'>time</span>: 54</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-67cc34d1-14cb-4540-bb70-64da77b1f9f6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-67cc34d1-14cb-4540-bb70-64da77b1f9f6' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-990db4f6-6383-47e9-9dfc-1c8ca69ad62d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-990db4f6-6383-47e9-9dfc-1c8ca69ad62d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c709b5e6-78b1-4996-8ee7-562ae862543a' class='xr-var-data-in' type='checkbox'><label for='data-c709b5e6-78b1-4996-8ee7-562ae862543a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-69112daf-2fca-49a4-9850-26006a690b00' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69112daf-2fca-49a4-9850-26006a690b00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34ed152b-2275-404d-a958-b8cad07a22bb' class='xr-var-data-in' type='checkbox'><label for='data-34ed152b-2275-404d-a958-b8cad07a22bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>layer</span></div><div class='xr-var-dims'>(layer)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-2df7bf6f-35ef-4725-ac2e-0988a95fc9b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2df7bf6f-35ef-4725-ac2e-0988a95fc9b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84e0a462-1c8c-4c85-a7ce-0e137f781036' class='xr-var-data-in' type='checkbox'><label for='data-84e0a462-1c8c-4c85-a7ce-0e137f781036' 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>layer</dd><dt><span>standard_name :</span></dt><dd>layer</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>flag_values :</span></dt><dd>[0]</dd><dt><span>flag_meanings :</span></dt><dd>epipelagic upper-mesopelagic lower-mesopelagic</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>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'>2000-01-02 ... 2001-01-07</div><input id='attrs-159f0401-f1e3-47eb-8dfa-e94a6755bb87' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-159f0401-f1e3-47eb-8dfa-e94a6755bb87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c45c4842-64fc-487c-bc1b-e5bf863c0419' class='xr-var-data-in' type='checkbox'><label for='data-c45c4842-64fc-487c-bc1b-e5bf863c0419' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><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;2000-01-02T00:00:00.000000000&#x27;, &#x27;2000-01-09T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-01-16T00:00:00.000000000&#x27;, &#x27;2000-01-23T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-01-30T00:00:00.000000000&#x27;, &#x27;2000-02-06T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-02-13T00:00:00.000000000&#x27;, &#x27;2000-02-20T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-02-27T00:00:00.000000000&#x27;, &#x27;2000-03-05T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-03-12T00:00:00.000000000&#x27;, &#x27;2000-03-19T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-03-26T00:00:00.000000000&#x27;, &#x27;2000-04-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-04-09T00:00:00.000000000&#x27;, &#x27;2000-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-04-23T00:00:00.000000000&#x27;, &#x27;2000-04-30T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-05-07T00:00:00.000000000&#x27;, &#x27;2000-05-14T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-05-21T00:00:00.000000000&#x27;, &#x27;2000-05-28T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-04T00:00:00.000000000&#x27;, &#x27;2000-06-11T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-18T00:00:00.000000000&#x27;, &#x27;2000-06-25T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-07-02T00:00:00.000000000&#x27;, &#x27;2000-07-09T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-07-16T00:00:00.000000000&#x27;, &#x27;2000-07-23T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-07-30T00:00:00.000000000&#x27;, &#x27;2000-08-06T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-13T00:00:00.000000000&#x27;, &#x27;2000-08-20T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-27T00:00:00.000000000&#x27;, &#x27;2000-09-03T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-09-10T00:00:00.000000000&#x27;, &#x27;2000-09-17T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-09-24T00:00:00.000000000&#x27;, &#x27;2000-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-10-08T00:00:00.000000000&#x27;, &#x27;2000-10-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-10-22T00:00:00.000000000&#x27;, &#x27;2000-10-29T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-11-05T00:00:00.000000000&#x27;, &#x27;2000-11-12T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-11-19T00:00:00.000000000&#x27;, &#x27;2000-11-26T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-12-03T00:00:00.000000000&#x27;, &#x27;2000-12-10T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-12-17T00:00:00.000000000&#x27;, &#x27;2000-12-24T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-12-31T00:00:00.000000000&#x27;, &#x27;2001-01-07T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-70505827-012b-4f4e-9458-b011be052e33' class='xr-section-summary-in' type='checkbox'  checked><label for='section-70505827-012b-4f4e-9458-b011be052e33' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>temperature</span></div><div class='xr-var-dims'>(time, latitude, longitude, layer)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.13 16.29 18.07 ... 13.97 15.0</div><input id='attrs-4cefc06c-5f4b-416d-a05d-2aff5db5d52f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4cefc06c-5f4b-416d-a05d-2aff5db5d52f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2af340be-b654-4ac6-8aca-9a1b3bb5c46f' class='xr-var-data-in' type='checkbox'><label for='data-2af340be-b654-4ac6-8aca-9a1b3bb5c46f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>celsius</dd></dl></div><div class='xr-var-data'><pre>array([[[[15.12874747]]],\n",
       "\n",
       "\n",
       "       [[[16.28519966]]],\n",
       "\n",
       "\n",
       "       [[[18.06647279]]],\n",
       "\n",
       "\n",
       "       [[[19.80351661]]],\n",
       "\n",
       "\n",
       "       [[[21.47127687]]],\n",
       "\n",
       "\n",
       "       [[[23.0456986 ]]],\n",
       "\n",
       "\n",
       "       [[[24.50407313]]],\n",
       "\n",
       "...\n",
       "\n",
       "       [[[ 5.69634386]]],\n",
       "\n",
       "\n",
       "       [[[ 7.17262685]]],\n",
       "\n",
       "\n",
       "       [[[ 8.76180803]]],\n",
       "\n",
       "\n",
       "       [[[10.44096584]]],\n",
       "\n",
       "\n",
       "       [[[12.18588092]]],\n",
       "\n",
       "\n",
       "       [[[13.97138547]]],\n",
       "\n",
       "\n",
       "       [[[15.        ]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>primary_production</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'>0.4731 0.6389 ... 0.3267 0.3407</div><input id='attrs-2414ed28-b906-4803-a1e3-768656c3bfa3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2414ed28-b906-4803-a1e3-768656c3bfa3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3ecaa12-7ab3-4952-ac19-e629749736e6' class='xr-var-data-in' type='checkbox'><label for='data-a3ecaa12-7ab3-4952-ac19-e629749736e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kilogram / meter**2 / day</dd></dl></div><div class='xr-var-data'><pre>array([[[0.47313624]],\n",
       "\n",
       "       [[0.6389013 ]],\n",
       "\n",
       "       [[0.52021274]],\n",
       "\n",
       "       [[0.56546703]],\n",
       "\n",
       "       [[0.45849896]],\n",
       "\n",
       "       [[0.41606559]],\n",
       "\n",
       "       [[0.57825358]],\n",
       "\n",
       "       [[0.65369131]],\n",
       "\n",
       "       [[0.56892123]],\n",
       "\n",
       "       [[0.69145984]],\n",
       "\n",
       "...\n",
       "\n",
       "       [[0.36897297]],\n",
       "\n",
       "       [[0.41363068]],\n",
       "\n",
       "       [[0.45677646]],\n",
       "\n",
       "       [[0.59490269]],\n",
       "\n",
       "       [[0.5871194 ]],\n",
       "\n",
       "       [[0.4053234 ]],\n",
       "\n",
       "       [[0.53023786]],\n",
       "\n",
       "       [[0.34229642]],\n",
       "\n",
       "       [[0.32672984]],\n",
       "\n",
       "       [[0.34066477]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cb726a0c-d8c0-4a87-8865-7f7a9093be4e' class='xr-section-summary-in' type='checkbox'  ><label for='section-cb726a0c-d8c0-4a87-8865-7f7a9093be4e' class='xr-section-summary' >Indexes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-0dd3a6e8-830d-49f4-a826-5b031ca705e8' class='xr-index-data-in' type='checkbox'/><label for='index-0dd3a6e8-830d-49f4-a826-5b031ca705e8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0], dtype=&#x27;int64&#x27;, name=&#x27;latitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-eaba9137-5c02-4a76-8042-ec1772cf409b' class='xr-index-data-in' type='checkbox'/><label for='index-eaba9137-5c02-4a76-8042-ec1772cf409b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0], dtype=&#x27;int64&#x27;, name=&#x27;longitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>layer</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-f5b90769-0b39-4a08-b795-3fe7df95ba12' class='xr-index-data-in' type='checkbox'/><label for='index-f5b90769-0b39-4a08-b795-3fe7df95ba12' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0], dtype=&#x27;int64&#x27;, name=&#x27;layer&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-62f262d4-1927-4e98-b997-aacf97c3bea3' class='xr-index-data-in' type='checkbox'/><label for='index-62f262d4-1927-4e98-b997-aacf97c3bea3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2000-01-02&#x27;, &#x27;2000-01-09&#x27;, &#x27;2000-01-16&#x27;, &#x27;2000-01-23&#x27;,\n",
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       "               &#x27;2000-04-23&#x27;, &#x27;2000-04-30&#x27;, &#x27;2000-05-07&#x27;, &#x27;2000-05-14&#x27;,\n",
       "               &#x27;2000-05-21&#x27;, &#x27;2000-05-28&#x27;, &#x27;2000-06-04&#x27;, &#x27;2000-06-11&#x27;,\n",
       "               &#x27;2000-06-18&#x27;, &#x27;2000-06-25&#x27;, &#x27;2000-07-02&#x27;, &#x27;2000-07-09&#x27;,\n",
       "               &#x27;2000-07-16&#x27;, &#x27;2000-07-23&#x27;, &#x27;2000-07-30&#x27;, &#x27;2000-08-06&#x27;,\n",
       "               &#x27;2000-08-13&#x27;, &#x27;2000-08-20&#x27;, &#x27;2000-08-27&#x27;, &#x27;2000-09-03&#x27;,\n",
       "               &#x27;2000-09-10&#x27;, &#x27;2000-09-17&#x27;, &#x27;2000-09-24&#x27;, &#x27;2000-10-01&#x27;,\n",
       "               &#x27;2000-10-08&#x27;, &#x27;2000-10-15&#x27;, &#x27;2000-10-22&#x27;, &#x27;2000-10-29&#x27;,\n",
       "               &#x27;2000-11-05&#x27;, &#x27;2000-11-12&#x27;, &#x27;2000-11-19&#x27;, &#x27;2000-11-26&#x27;,\n",
       "               &#x27;2000-12-03&#x27;, &#x27;2000-12-10&#x27;, &#x27;2000-12-17&#x27;, &#x27;2000-12-24&#x27;,\n",
       "               &#x27;2000-12-31&#x27;, &#x27;2001-01-07&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=&#x27;W-SUN&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-abcafb1d-e150-4818-ae46-5e2a3d8878d4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-abcafb1d-e150-4818-ae46-5e2a3d8878d4' 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> Size: 1kB\n",
       "Dimensions:             (latitude: 1, longitude: 1, layer: 1, time: 54)\n",
       "Coordinates:\n",
       "  * latitude            (latitude) int64 8B 0\n",
       "  * longitude           (longitude) int64 8B 0\n",
       "  * layer               (layer) int64 8B 0\n",
       "  * time                (time) datetime64[ns] 432B 2000-01-02 ... 2001-01-07\n",
       "Data variables:\n",
       "    temperature         (time, latitude, longitude, layer) float64 432B 15.13...\n",
       "    primary_production  (time, latitude, longitude) float64 432B 0.4731 ... 0..."
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weekly_dataset = dataset.resample(time=\"1W\").mean().interpolate_na()\n",
    "weekly_dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 2kB\n",
       "Dimensions:                     (time: 54, latitude: 1, longitude: 1, layer: 1,\n",
       "                                 functional_group: 2, cohort: 2)\n",
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       "  * longitude                   (longitude) int64 8B 0\n",
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       "Data variables: (12/18)\n",
       "    temperature                 (time, latitude, longitude, layer) float64 432B dask.array&lt;chunksize=(54, 1, 1, 1), meta=np.ndarray&gt;\n",
       "    primary_production          (time, latitude, longitude) float64 432B dask.array&lt;chunksize=(54, 1, 1), meta=np.ndarray&gt;\n",
       "    name                        (functional_group) &lt;U8 64B dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
       "    energy_transfert            (functional_group) float64 16B dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
       "    lambda_temperature_0        (functional_group) float64 16B dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
       "    gamma_lambda_temperature    (functional_group) float64 16B dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
       "    ...                          ...\n",
       "    max_timestep                (functional_group, cohort) float64 32B dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;\n",
       "    mean_timestep               (functional_group, cohort) float64 32B dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;\n",
       "    timestep                    float64 8B 7.0\n",
       "    angle_horizon_sun           float64 8B 0.0\n",
       "    compute_initial_conditions  bool 1B False\n",
       "    compute_preproduction       bool 1B False</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-fa02efe1-f6f1-4aac-8014-d07069da4956' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fa02efe1-f6f1-4aac-8014-d07069da4956' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 54</li><li><span class='xr-has-index'>latitude</span>: 1</li><li><span class='xr-has-index'>longitude</span>: 1</li><li><span class='xr-has-index'>layer</span>: 1</li><li><span class='xr-has-index'>functional_group</span>: 2</li><li><span class='xr-has-index'>cohort</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6d354939-72c0-4ad1-b6e5-98e69955657a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6d354939-72c0-4ad1-b6e5-98e69955657a' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-ad3ae673-1603-48f7-a5cd-82d64bf89c13' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad3ae673-1603-48f7-a5cd-82d64bf89c13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9057516d-df3a-41cc-81ef-3388069f6ae1' class='xr-var-data-in' type='checkbox'><label for='data-9057516d-df3a-41cc-81ef-3388069f6ae1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-a753c7d8-3085-4404-b8c9-8117a62e03be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a753c7d8-3085-4404-b8c9-8117a62e03be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0264f286-8375-45b5-ae35-9d0ea092da9e' class='xr-var-data-in' type='checkbox'><label for='data-0264f286-8375-45b5-ae35-9d0ea092da9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>layer</span></div><div class='xr-var-dims'>(layer)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-621c02f0-a15d-41ce-8cd3-0a44fc162780' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-621c02f0-a15d-41ce-8cd3-0a44fc162780' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8cf7352-7166-4131-a4cf-4fa00a8272d7' class='xr-var-data-in' type='checkbox'><label for='data-e8cf7352-7166-4131-a4cf-4fa00a8272d7' 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>layer</dd><dt><span>standard_name :</span></dt><dd>layer</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>flag_values :</span></dt><dd>[0]</dd><dt><span>flag_meanings :</span></dt><dd>epipelagic upper-mesopelagic lower-mesopelagic</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>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'>2000-01-02 ... 2001-01-07</div><input id='attrs-6fcf3593-bbb0-4379-b0e4-30423b5ca1a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6fcf3593-bbb0-4379-b0e4-30423b5ca1a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-478f4e16-1006-44a4-a217-1c5f3e80c163' class='xr-var-data-in' type='checkbox'><label for='data-478f4e16-1006-44a4-a217-1c5f3e80c163' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><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;2000-01-02T00:00:00.000000000&#x27;, &#x27;2000-01-09T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-01-16T00:00:00.000000000&#x27;, &#x27;2000-01-23T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-01-30T00:00:00.000000000&#x27;, &#x27;2000-02-06T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-02-13T00:00:00.000000000&#x27;, &#x27;2000-02-20T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-02-27T00:00:00.000000000&#x27;, &#x27;2000-03-05T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-03-12T00:00:00.000000000&#x27;, &#x27;2000-03-19T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-03-26T00:00:00.000000000&#x27;, &#x27;2000-04-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-04-09T00:00:00.000000000&#x27;, &#x27;2000-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-04-23T00:00:00.000000000&#x27;, &#x27;2000-04-30T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-05-07T00:00:00.000000000&#x27;, &#x27;2000-05-14T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-05-21T00:00:00.000000000&#x27;, &#x27;2000-05-28T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-04T00:00:00.000000000&#x27;, &#x27;2000-06-11T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-18T00:00:00.000000000&#x27;, &#x27;2000-06-25T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-07-02T00:00:00.000000000&#x27;, &#x27;2000-07-09T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-07-16T00:00:00.000000000&#x27;, &#x27;2000-07-23T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-07-30T00:00:00.000000000&#x27;, &#x27;2000-08-06T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-13T00:00:00.000000000&#x27;, &#x27;2000-08-20T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-27T00:00:00.000000000&#x27;, &#x27;2000-09-03T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-09-10T00:00:00.000000000&#x27;, &#x27;2000-09-17T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-09-24T00:00:00.000000000&#x27;, &#x27;2000-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-10-08T00:00:00.000000000&#x27;, &#x27;2000-10-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-10-22T00:00:00.000000000&#x27;, &#x27;2000-10-29T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-11-05T00:00:00.000000000&#x27;, &#x27;2000-11-12T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-11-19T00:00:00.000000000&#x27;, &#x27;2000-11-26T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-12-03T00:00:00.000000000&#x27;, &#x27;2000-12-10T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-12-17T00:00:00.000000000&#x27;, &#x27;2000-12-24T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-12-31T00:00:00.000000000&#x27;, &#x27;2001-01-07T00:00:00.000000000&#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'>cohort</span></div><div class='xr-var-dims'>(cohort)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1</div><input id='attrs-accb7689-1595-4024-ac98-f5703942f088' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-accb7689-1595-4024-ac98-f5703942f088' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-262273f3-4235-4d65-a70f-fd5bef515776' class='xr-var-data-in' type='checkbox'><label for='data-262273f3-4235-4d65-a70f-fd5bef515776' 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>cohort</dd><dt><span>standard_name :</span></dt><dd>cohort</dd></dl></div><div class='xr-var-data'><pre>array([0, 1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>functional_group</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1</div><input id='attrs-a6869fb9-4f5d-41a6-ae74-920155135280' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6869fb9-4f5d-41a6-ae74-920155135280' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2683af30-cd47-4380-aad0-9295fd71ce7d' class='xr-var-data-in' type='checkbox'><label for='data-2683af30-cd47-4380-aad0-9295fd71ce7d' 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>flag_values :</span></dt><dd>range(0, 2)</dd><dt><span>flag_meanings :</span></dt><dd>D0N0 D0N0_BIS</dd><dt><span>standard_name :</span></dt><dd>functional_group</dd><dt><span>long_name :</span></dt><dd>functional group</dd></dl></div><div class='xr-var-data'><pre>array([0, 1])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-88194895-dd43-41ef-89db-2b8320fcccb0' class='xr-section-summary-in' type='checkbox'  ><label for='section-88194895-dd43-41ef-89db-2b8320fcccb0' class='xr-section-summary' >Data variables: <span>(18)</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>temperature</span></div><div class='xr-var-dims'>(time, latitude, longitude, layer)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(54, 1, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-274de037-2625-4927-b7ac-aa09d9f5bdf2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-274de037-2625-4927-b7ac-aa09d9f5bdf2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-319efc5f-5b6c-4f6c-b926-06b311c6f716' class='xr-var-data-in' type='checkbox'><label for='data-319efc5f-5b6c-4f6c-b926-06b311c6f716' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degree_Celsius</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 432 B </td>\n",
       "                        <td> 432 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (54, 1, 1, 1) </td>\n",
       "                        <td> (54, 1, 1, 1) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>primary_production</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'>dask.array&lt;chunksize=(54, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-35d37aa1-7016-472a-bf30-e36ecf938978' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-35d37aa1-7016-472a-bf30-e36ecf938978' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd3e78e5-9776-4b27-a12a-1faa25019678' class='xr-var-data-in' type='checkbox'><label for='data-bd3e78e5-9776-4b27-a12a-1faa25019678' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>kilogram / day / meter ** 2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 64 B </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>energy_transfert</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-68d7a45c-378c-466b-9315-7239674a7e12' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68d7a45c-378c-466b-9315-7239674a7e12' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df6bde94-267e-4885-a8d9-73b9c8a01c54' class='xr-var-data-in' type='checkbox'><label for='data-df6bde94-267e-4885-a8d9-73b9c8a01c54' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dimensionless</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 16 B </td>\n",
       "                        <td> 8 B </td>\n",
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       "                        <td colspan=\"2\"> 2 chunks in 1 graph layer </td>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lambda_temperature_0</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-1781548b-6949-4509-8b72-8eceeaecaf93' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1781548b-6949-4509-8b72-8eceeaecaf93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d7d5ccf-8bb3-4c65-93fa-7ff9e31158e6' class='xr-var-data-in' type='checkbox'><label for='data-8d7d5ccf-8bb3-4c65-93fa-7ff9e31158e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1 / day</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 16 B </td>\n",
       "                        <td> 8 B </td>\n",
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       "                        <td> (1,) </td>\n",
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       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 1 graph layer </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gamma_lambda_temperature</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-fa92085e-ec04-433a-970f-657dba42d31f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa92085e-ec04-433a-970f-657dba42d31f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0950e886-37b3-47fe-b5bf-52c2c756690e' class='xr-var-data-in' type='checkbox'><label for='data-0950e886-37b3-47fe-b5bf-52c2c756690e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1 / delta_degree_Celsius</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                    <tr>\n",
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       "                        <th> Array </th>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 16 B </td>\n",
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       "                    <tr>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gamma_tr</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-d8e98412-9aab-4d40-a7b0-313b469ef29b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8e98412-9aab-4d40-a7b0-313b469ef29b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54471859-46db-4043-8b49-7b5003389d3c' class='xr-var-data-in' type='checkbox'><label for='data-54471859-46db-4043-8b49-7b5003389d3c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1 / delta_degree_Celsius</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 16 B </td>\n",
       "                        <td> 8 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2,) </td>\n",
       "                        <td> (1,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>day_layer</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-55fa9b45-326a-4965-b047-7fa0f74ecd7b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-55fa9b45-326a-4965-b047-7fa0f74ecd7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-972546d8-4d9b-4b46-b7b7-4fba260a1bb1' class='xr-var-data-in' type='checkbox'><label for='data-972546d8-4d9b-4b46-b7b7-4fba260a1bb1' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 16 B </td>\n",
       "                        <td> 8 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2,) </td>\n",
       "                        <td> (1,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> int64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"110\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>night_layer</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-d6514cb3-cabe-4786-8bdc-1d9a35de9656' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d6514cb3-cabe-4786-8bdc-1d9a35de9656' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08b817f5-cbaa-4097-8908-220387d1789b' class='xr-var-data-in' type='checkbox'><label for='data-08b817f5-cbaa-4097-8908-220387d1789b' 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 16 B </td>\n",
       "                        <td> 8 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2,) </td>\n",
       "                        <td> (1,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> int64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"110\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"60\" style=\"stroke-width:2\" />\n",
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       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"60\" style=\"stroke-width:2\" />\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>timesteps_number</span></div><div class='xr-var-dims'>(functional_group, cohort)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;</div><input id='attrs-42bc57db-40b9-45b4-8fd2-036f335e4728' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42bc57db-40b9-45b4-8fd2-036f335e4728' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db250026-6a8c-4863-bd2a-c70cf28f051b' class='xr-var-data-in' type='checkbox'><label for='data-db250026-6a8c-4863-bd2a-c70cf28f051b' 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>description :</span></dt><dd>The number of timesteps represented in the cohort. If there is no aggregation, all values are equal to 1.</dd><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 32 B </td>\n",
       "                        <td> 16 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2, 2) </td>\n",
       "                        <td> (1, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\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>min_timestep</span></div><div class='xr-var-dims'>(functional_group, cohort)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;</div><input id='attrs-0cd4909f-3d76-4288-bb78-11e700965b6c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0cd4909f-3d76-4288-bb78-11e700965b6c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-950fe247-8926-4ea3-b163-fa00a3ae74cc' class='xr-var-data-in' type='checkbox'><label for='data-950fe247-8926-4ea3-b163-fa00a3ae74cc' 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>description :</span></dt><dd>The minimum timestep index.</dd><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 32 B </td>\n",
       "                        <td> 16 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2, 2) </td>\n",
       "                        <td> (1, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_timestep</span></div><div class='xr-var-dims'>(functional_group, cohort)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;</div><input id='attrs-bd0c1ba6-e9fd-4e83-b0be-2249d8e72c4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd0c1ba6-e9fd-4e83-b0be-2249d8e72c4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff3d07dd-c1fc-4a9e-9287-3a3998b3f16b' class='xr-var-data-in' type='checkbox'><label for='data-ff3d07dd-c1fc-4a9e-9287-3a3998b3f16b' 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>description :</span></dt><dd>The maximum timestep index.</dd><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 32 B </td>\n",
       "                        <td> 16 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2, 2) </td>\n",
       "                        <td> (1, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 1 graph layer </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\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>mean_timestep</span></div><div class='xr-var-dims'>(functional_group, cohort)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;</div><input id='attrs-e3e2f552-01e3-4c6b-a977-5a7cb9e505d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3e2f552-01e3-4c6b-a977-5a7cb9e505d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93aa44c6-5b1a-4768-b321-5b5aac1ba677' class='xr-var-data-in' type='checkbox'><label for='data-93aa44c6-5b1a-4768-b321-5b5aac1ba677' 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>description :</span></dt><dd>The mean timestep index.</dd><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
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       "                        <td> 32 B </td>\n",
       "                        <td> 16 B </td>\n",
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       "                    \n",
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       "                        <th> Shape </th>\n",
       "                        <td> (2, 2) </td>\n",
       "                        <td> (1, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 1 graph layer </td>\n",
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       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>timestep</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.0</div><input id='attrs-a94574bc-f8fd-4e99-8079-054c5314058a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a94574bc-f8fd-4e99-8079-054c5314058a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed5c66e7-0d8a-477f-8e98-92788dc56357' class='xr-var-data-in' type='checkbox'><label for='data-ed5c66e7-0d8a-477f-8e98-92788dc56357' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><pre>array(7.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_horizon_sun</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-1e97e641-8722-42ad-a596-92d300fbd8d0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1e97e641-8722-42ad-a596-92d300fbd8d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b13b940c-f8c1-4b78-ab84-938b9c016056' class='xr-var-data-in' type='checkbox'><label for='data-b13b940c-f8c1-4b78-ab84-938b9c016056' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>compute_initial_conditions</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>False</div><input id='attrs-b1993b4b-8b24-413f-906f-fbaace0ddadb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b1993b4b-8b24-413f-906f-fbaace0ddadb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95616bdd-0725-4a10-8b30-7317c30ebacc' class='xr-var-data-in' type='checkbox'><label for='data-95616bdd-0725-4a10-8b30-7317c30ebacc' 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(False)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>compute_preproduction</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>False</div><input id='attrs-d8848318-8104-4d24-916d-169193d6cc89' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d8848318-8104-4d24-916d-169193d6cc89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eaf78057-8f51-4f6e-bf02-aaa2d7f5f0c4' class='xr-var-data-in' type='checkbox'><label for='data-eaf78057-8f51-4f6e-bf02-aaa2d7f5f0c4' 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(False)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dc5d1e6c-02dd-4198-aa5f-3b5712a67e6e' class='xr-section-summary-in' type='checkbox'  ><label for='section-dc5d1e6c-02dd-4198-aa5f-3b5712a67e6e' class='xr-section-summary' >Indexes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-7720ff76-e1dc-48df-bd99-575a3fd4e304' class='xr-index-data-in' type='checkbox'/><label for='index-7720ff76-e1dc-48df-bd99-575a3fd4e304' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0], dtype=&#x27;int64&#x27;, name=&#x27;latitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-72c4c275-807e-4bb1-a635-aac6e91d3682' class='xr-index-data-in' type='checkbox'/><label for='index-72c4c275-807e-4bb1-a635-aac6e91d3682' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0], dtype=&#x27;int64&#x27;, name=&#x27;longitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>layer</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-b82cb351-6b24-4e1f-ae11-1a177d811a3a' class='xr-index-data-in' type='checkbox'/><label for='index-b82cb351-6b24-4e1f-ae11-1a177d811a3a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0], dtype=&#x27;int64&#x27;, name=&#x27;layer&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-9c0b83cd-6caf-4c51-81c3-88ec9a4c53aa' class='xr-index-data-in' type='checkbox'/><label for='index-9c0b83cd-6caf-4c51-81c3-88ec9a4c53aa' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2000-01-02&#x27;, &#x27;2000-01-09&#x27;, &#x27;2000-01-16&#x27;, &#x27;2000-01-23&#x27;,\n",
       "               &#x27;2000-01-30&#x27;, &#x27;2000-02-06&#x27;, &#x27;2000-02-13&#x27;, &#x27;2000-02-20&#x27;,\n",
       "               &#x27;2000-02-27&#x27;, &#x27;2000-03-05&#x27;, &#x27;2000-03-12&#x27;, &#x27;2000-03-19&#x27;,\n",
       "               &#x27;2000-03-26&#x27;, &#x27;2000-04-02&#x27;, &#x27;2000-04-09&#x27;, &#x27;2000-04-16&#x27;,\n",
       "               &#x27;2000-04-23&#x27;, &#x27;2000-04-30&#x27;, &#x27;2000-05-07&#x27;, &#x27;2000-05-14&#x27;,\n",
       "               &#x27;2000-05-21&#x27;, &#x27;2000-05-28&#x27;, &#x27;2000-06-04&#x27;, &#x27;2000-06-11&#x27;,\n",
       "               &#x27;2000-06-18&#x27;, &#x27;2000-06-25&#x27;, &#x27;2000-07-02&#x27;, &#x27;2000-07-09&#x27;,\n",
       "               &#x27;2000-07-16&#x27;, &#x27;2000-07-23&#x27;, &#x27;2000-07-30&#x27;, &#x27;2000-08-06&#x27;,\n",
       "               &#x27;2000-08-13&#x27;, &#x27;2000-08-20&#x27;, &#x27;2000-08-27&#x27;, &#x27;2000-09-03&#x27;,\n",
       "               &#x27;2000-09-10&#x27;, &#x27;2000-09-17&#x27;, &#x27;2000-09-24&#x27;, &#x27;2000-10-01&#x27;,\n",
       "               &#x27;2000-10-08&#x27;, &#x27;2000-10-15&#x27;, &#x27;2000-10-22&#x27;, &#x27;2000-10-29&#x27;,\n",
       "               &#x27;2000-11-05&#x27;, &#x27;2000-11-12&#x27;, &#x27;2000-11-19&#x27;, &#x27;2000-11-26&#x27;,\n",
       "               &#x27;2000-12-03&#x27;, &#x27;2000-12-10&#x27;, &#x27;2000-12-17&#x27;, &#x27;2000-12-24&#x27;,\n",
       "               &#x27;2000-12-31&#x27;, &#x27;2001-01-07&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=&#x27;W-SUN&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>cohort</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-7789c220-8a9b-4338-b95b-3ca5a99d4ddd' class='xr-index-data-in' type='checkbox'/><label for='index-7789c220-8a9b-4338-b95b-3ca5a99d4ddd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1], dtype=&#x27;int64&#x27;, name=&#x27;cohort&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>functional_group</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-9b092a71-3fe2-473f-b500-29be79f2e143' class='xr-index-data-in' type='checkbox'/><label for='index-9b092a71-3fe2-473f-b500-29be79f2e143' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1], dtype=&#x27;int64&#x27;, name=&#x27;functional_group&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-db326230-2790-4d82-8c02-16241095c6a8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-db326230-2790-4d82-8c02-16241095c6a8' 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> Size: 2kB\n",
       "Dimensions:                     (time: 54, latitude: 1, longitude: 1, layer: 1,\n",
       "                                 functional_group: 2, cohort: 2)\n",
       "Coordinates:\n",
       "  * latitude                    (latitude) int64 8B 0\n",
       "  * longitude                   (longitude) int64 8B 0\n",
       "  * layer                       (layer) int64 8B 0\n",
       "  * time                        (time) datetime64[ns] 432B 2000-01-02 ... 200...\n",
       "  * cohort                      (cohort) int64 16B 0 1\n",
       "  * functional_group            (functional_group) int64 16B 0 1\n",
       "Data variables: (12/18)\n",
       "    temperature                 (time, latitude, longitude, layer) float64 432B dask.array<chunksize=(54, 1, 1, 1), meta=np.ndarray>\n",
       "    primary_production          (time, latitude, longitude) float64 432B dask.array<chunksize=(54, 1, 1), meta=np.ndarray>\n",
       "    name                        (functional_group) <U8 64B dask.array<chunksize=(1,), meta=np.ndarray>\n",
       "    energy_transfert            (functional_group) float64 16B dask.array<chunksize=(1,), meta=np.ndarray>\n",
       "    lambda_temperature_0        (functional_group) float64 16B dask.array<chunksize=(1,), meta=np.ndarray>\n",
       "    gamma_lambda_temperature    (functional_group) float64 16B dask.array<chunksize=(1,), meta=np.ndarray>\n",
       "    ...                          ...\n",
       "    max_timestep                (functional_group, cohort) float64 32B dask.array<chunksize=(1, 2), meta=np.ndarray>\n",
       "    mean_timestep               (functional_group, cohort) float64 32B dask.array<chunksize=(1, 2), meta=np.ndarray>\n",
       "    timestep                    float64 8B 7.0\n",
       "    angle_horizon_sun           float64 8B 0.0\n",
       "    compute_initial_conditions  bool 1B False\n",
       "    compute_preproduction       bool 1B False"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p_param = ForcingParameter(\n",
    "    temperature=ForcingUnit(forcing=weekly_dataset[\"temperature\"]),\n",
    "    primary_production=ForcingUnit(forcing=weekly_dataset[\"primary_production\"]),\n",
    ")\n",
    "parameters = NoTransportConfiguration(forcing=p_param, functional_group=f_groups, environment=environment)\n",
    "no_transport_model = NoTransportLightModel.from_configuration(configuration=parameters)\n",
    "no_transport_model.state"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Run the model\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
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       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: inline-block;\n",
       "  opacity: 0;\n",
       "  height: 0;\n",
       "}\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:focus + label {\n",
       "  border: 2px solid var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: \"►\";\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: \"▼\";\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 2kB\n",
       "Dimensions:                     (functional_group: 2, time: 54, latitude: 1,\n",
       "                                 longitude: 1, cohort: 2, layer: 1)\n",
       "Coordinates:\n",
       "  * functional_group            (functional_group) int64 16B 0 1\n",
       "  * time                        (time) datetime64[ns] 432B 2000-01-02 ... 200...\n",
       "  * latitude                    (latitude) int64 8B 0\n",
       "  * longitude                   (longitude) int64 8B 0\n",
       "  * cohort                      (cohort) int64 16B 0 1\n",
       "  * layer                       (layer) int64 8B 0\n",
       "Data variables: (12/17)\n",
       "    biomass                     (functional_group, time, latitude, longitude) float64 864B ...\n",
       "    name                        (functional_group) &lt;U8 64B &#x27;D0N0&#x27; &#x27;D0N0_BIS&#x27;\n",
       "    energy_transfert            (functional_group) float64 16B 0.1668 0.0834\n",
       "    lambda_temperature_0        (functional_group) float64 16B 0.006667 0.003333\n",
       "    gamma_lambda_temperature    (functional_group) float64 16B 0.15 0.075\n",
       "    tr_0                        (functional_group) float64 16B 10.38 5.19\n",
       "    ...                          ...\n",
       "    max_timestep                (functional_group, cohort) float64 32B 7.0 .....\n",
       "    mean_timestep               (functional_group, cohort) float64 32B 7.0 .....\n",
       "    timestep                    float64 8B 7.0\n",
       "    angle_horizon_sun           float64 8B 0.0\n",
       "    compute_initial_conditions  bool 1B False\n",
       "    compute_preproduction       bool 1B False</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8a113197-2411-44e9-bbad-a090b54eb185' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8a113197-2411-44e9-bbad-a090b54eb185' 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'>functional_group</span>: 2</li><li><span class='xr-has-index'>time</span>: 54</li><li><span class='xr-has-index'>latitude</span>: 1</li><li><span class='xr-has-index'>longitude</span>: 1</li><li><span class='xr-has-index'>cohort</span>: 2</li><li><span class='xr-has-index'>layer</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8205a7ac-1dc6-4505-a335-efc876322f7d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8205a7ac-1dc6-4505-a335-efc876322f7d' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>functional_group</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1</div><input id='attrs-5eddb514-f5ef-4581-bc55-1fc71b30a30d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5eddb514-f5ef-4581-bc55-1fc71b30a30d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17a704c6-ca64-49fc-82da-69452bbd655e' class='xr-var-data-in' type='checkbox'><label for='data-17a704c6-ca64-49fc-82da-69452bbd655e' 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>flag_values :</span></dt><dd>range(0, 2)</dd><dt><span>flag_meanings :</span></dt><dd>D0N0 D0N0_BIS</dd><dt><span>standard_name :</span></dt><dd>functional_group</dd><dt><span>long_name :</span></dt><dd>functional group</dd></dl></div><div class='xr-var-data'><pre>array([0, 1])</pre></div></li><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'>2000-01-02 ... 2001-01-07</div><input id='attrs-a908eefe-1c47-4732-b4d8-cb5382caa90b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a908eefe-1c47-4732-b4d8-cb5382caa90b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0e1ef9d-a174-43de-941d-11159a7cb301' class='xr-var-data-in' type='checkbox'><label for='data-e0e1ef9d-a174-43de-941d-11159a7cb301' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><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;2000-01-02T00:00:00.000000000&#x27;, &#x27;2000-01-09T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-01-16T00:00:00.000000000&#x27;, &#x27;2000-01-23T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-01-30T00:00:00.000000000&#x27;, &#x27;2000-02-06T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-02-13T00:00:00.000000000&#x27;, &#x27;2000-02-20T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-02-27T00:00:00.000000000&#x27;, &#x27;2000-03-05T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-03-12T00:00:00.000000000&#x27;, &#x27;2000-03-19T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-03-26T00:00:00.000000000&#x27;, &#x27;2000-04-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-04-09T00:00:00.000000000&#x27;, &#x27;2000-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-04-23T00:00:00.000000000&#x27;, &#x27;2000-04-30T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-05-07T00:00:00.000000000&#x27;, &#x27;2000-05-14T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-05-21T00:00:00.000000000&#x27;, &#x27;2000-05-28T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-04T00:00:00.000000000&#x27;, &#x27;2000-06-11T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-18T00:00:00.000000000&#x27;, &#x27;2000-06-25T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-07-02T00:00:00.000000000&#x27;, &#x27;2000-07-09T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-07-16T00:00:00.000000000&#x27;, &#x27;2000-07-23T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-07-30T00:00:00.000000000&#x27;, &#x27;2000-08-06T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-13T00:00:00.000000000&#x27;, &#x27;2000-08-20T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-08-27T00:00:00.000000000&#x27;, &#x27;2000-09-03T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-09-10T00:00:00.000000000&#x27;, &#x27;2000-09-17T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-09-24T00:00:00.000000000&#x27;, &#x27;2000-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-10-08T00:00:00.000000000&#x27;, &#x27;2000-10-15T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-10-22T00:00:00.000000000&#x27;, &#x27;2000-10-29T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-11-05T00:00:00.000000000&#x27;, &#x27;2000-11-12T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-11-19T00:00:00.000000000&#x27;, &#x27;2000-11-26T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-12-03T00:00:00.000000000&#x27;, &#x27;2000-12-10T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-12-17T00:00:00.000000000&#x27;, &#x27;2000-12-24T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-12-31T00:00:00.000000000&#x27;, &#x27;2001-01-07T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-70d51c3d-4659-4525-ba3d-57e0016a3fdd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70d51c3d-4659-4525-ba3d-57e0016a3fdd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e1295b7-4166-43c3-9ce2-8ccb5e2a9a96' class='xr-var-data-in' type='checkbox'><label for='data-4e1295b7-4166-43c3-9ce2-8ccb5e2a9a96' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-4a0589f9-6832-4641-8c0b-d9647783c7f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a0589f9-6832-4641-8c0b-d9647783c7f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e414afab-7dbd-4de6-be44-4eaa68bd01a5' class='xr-var-data-in' type='checkbox'><label for='data-e414afab-7dbd-4de6-be44-4eaa68bd01a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>cohort</span></div><div class='xr-var-dims'>(cohort)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1</div><input id='attrs-0a44f74e-ccf7-4889-98d7-272db9046f88' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a44f74e-ccf7-4889-98d7-272db9046f88' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f51f9ce9-b520-4f00-bccb-f2d107590dc1' class='xr-var-data-in' type='checkbox'><label for='data-f51f9ce9-b520-4f00-bccb-f2d107590dc1' 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>cohort</dd><dt><span>standard_name :</span></dt><dd>cohort</dd></dl></div><div class='xr-var-data'><pre>array([0, 1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>layer</span></div><div class='xr-var-dims'>(layer)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-5461ac90-501e-4c23-b5a6-34a95a82fec4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5461ac90-501e-4c23-b5a6-34a95a82fec4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd6cffba-67fb-44d0-a93e-dcad2a677b53' class='xr-var-data-in' type='checkbox'><label for='data-dd6cffba-67fb-44d0-a93e-dcad2a677b53' 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>layer</dd><dt><span>standard_name :</span></dt><dd>layer</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>flag_values :</span></dt><dd>[0]</dd><dt><span>flag_meanings :</span></dt><dd>epipelagic upper-mesopelagic lower-mesopelagic</dd></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-52f00d35-56f8-4eba-b491-2b58d25f43c5' class='xr-section-summary-in' type='checkbox'  ><label for='section-52f00d35-56f8-4eba-b491-2b58d25f43c5' class='xr-section-summary' >Data variables: <span>(17)</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>biomass</span></div><div class='xr-var-dims'>(functional_group, time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.07892 0.1527 ... 0.7816 0.7558</div><input id='attrs-45e7f2f9-3dd4-4479-963b-7f163d4a37e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45e7f2f9-3dd4-4479-963b-7f163d4a37e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1d97869-0f9b-481a-bd25-28be430cbafb' class='xr-var-data-in' type='checkbox'><label for='data-d1d97869-0f9b-481a-bd25-28be430cbafb' 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>biomass</dd><dt><span>units :</span></dt><dd>kilogram / meter ** 2</dd><dt><span>description :</span></dt><dd>The biomass of the recruited individuals.</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.07891912]],\n",
       "\n",
       "        [[0.15270155]],\n",
       "\n",
       "        [[0.16249885]],\n",
       "\n",
       "        [[0.1597229 ]],\n",
       "\n",
       "        [[0.12611051]],\n",
       "\n",
       "        [[0.09810352]],\n",
       "\n",
       "        [[0.11200115]],\n",
       "\n",
       "        [[0.12088975]],\n",
       "\n",
       "        [[0.10322835]],\n",
       "\n",
       "        [[0.11996741]],\n",
       "\n",
       "...\n",
       "\n",
       "        [[0.75800233]],\n",
       "\n",
       "        [[0.77040116]],\n",
       "\n",
       "        [[0.78397656]],\n",
       "\n",
       "        [[0.80604424]],\n",
       "\n",
       "        [[0.82343705]],\n",
       "\n",
       "        [[0.8209951 ]],\n",
       "\n",
       "        [[0.824351  ]],\n",
       "\n",
       "        [[0.80629351]],\n",
       "\n",
       "        [[0.78164136]],\n",
       "\n",
       "        [[0.75584618]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>name</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>&lt;U8</div><div class='xr-var-preview xr-preview'>&#x27;D0N0&#x27; &#x27;D0N0_BIS&#x27;</div><input id='attrs-a9e9aba1-cd00-49fc-889f-a9135af15881' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a9e9aba1-cd00-49fc-889f-a9135af15881' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c872749-eacc-4e3c-872d-6f53c2cc833e' class='xr-var-data-in' type='checkbox'><label for='data-6c872749-eacc-4e3c-872d-6f53c2cc833e' 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;D0N0&#x27;, &#x27;D0N0_BIS&#x27;], dtype=&#x27;&lt;U8&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>energy_transfert</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1668 0.0834</div><input id='attrs-59ae6c2e-99b2-453e-9dd5-863771d897a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-59ae6c2e-99b2-453e-9dd5-863771d897a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe549a5e-3475-4c0d-9d9e-6fa0b824c263' class='xr-var-data-in' type='checkbox'><label for='data-fe549a5e-3475-4c0d-9d9e-6fa0b824c263' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>dimensionless</dd></dl></div><div class='xr-var-data'><pre>array([0.1668, 0.0834])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lambda_temperature_0</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.006667 0.003333</div><input id='attrs-ac5f9143-bf8a-4196-9938-4c2dc82f152f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac5f9143-bf8a-4196-9938-4c2dc82f152f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-edff6b6e-cc8b-4b89-8e3f-a5ddef9f7b66' class='xr-var-data-in' type='checkbox'><label for='data-edff6b6e-cc8b-4b89-8e3f-a5ddef9f7b66' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1 / day</dd></dl></div><div class='xr-var-data'><pre>array([0.00666667, 0.00333333])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gamma_lambda_temperature</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.15 0.075</div><input id='attrs-432675b7-886c-4a59-bd15-0a137b435249' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-432675b7-886c-4a59-bd15-0a137b435249' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6518719e-0383-40c6-b6f1-2bfc94925471' class='xr-var-data-in' type='checkbox'><label for='data-6518719e-0383-40c6-b6f1-2bfc94925471' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1 / delta_degree_Celsius</dd></dl></div><div class='xr-var-data'><pre>array([0.15 , 0.075])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tr_0</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>10.38 5.19</div><input id='attrs-508ba331-813b-4f23-8885-12ca43c11ef0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-508ba331-813b-4f23-8885-12ca43c11ef0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a626e97-ec0f-4385-870d-31dea7518482' class='xr-var-data-in' type='checkbox'><label for='data-4a626e97-ec0f-4385-870d-31dea7518482' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><pre>array([10.38,  5.19])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gamma_tr</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.11 -0.055</div><input id='attrs-4decd50e-3b61-4626-9342-dcf18445c6c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4decd50e-3b61-4626-9342-dcf18445c6c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04241929-23db-4337-bb3d-39634acc31cd' class='xr-var-data-in' type='checkbox'><label for='data-04241929-23db-4337-bb3d-39634acc31cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>1 / delta_degree_Celsius</dd></dl></div><div class='xr-var-data'><pre>array([-0.11 , -0.055])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>day_layer</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 0</div><input id='attrs-2bb48fbb-08ec-43dd-a62c-2852f17bad65' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2bb48fbb-08ec-43dd-a62c-2852f17bad65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ab83c85-5937-49ee-b628-76abffbeb84a' class='xr-var-data-in' type='checkbox'><label for='data-6ab83c85-5937-49ee-b628-76abffbeb84a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>night_layer</span></div><div class='xr-var-dims'>(functional_group)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 0</div><input id='attrs-bca42c23-d099-48be-af7e-a8dd05ad00a7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bca42c23-d099-48be-af7e-a8dd05ad00a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a01875ac-7a51-4c49-ad45-914c74909e2d' class='xr-var-data-in' type='checkbox'><label for='data-a01875ac-7a51-4c49-ad45-914c74909e2d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>timesteps_number</span></div><div class='xr-var-dims'>(functional_group, cohort)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.0 7.0 7.0 nan</div><input id='attrs-668250d1-cfb2-4aa8-b913-eae0abceee99' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-668250d1-cfb2-4aa8-b913-eae0abceee99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-771ca95b-2e4b-420c-9f68-f288bf2945fa' class='xr-var-data-in' type='checkbox'><label for='data-771ca95b-2e4b-420c-9f68-f288bf2945fa' 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>description :</span></dt><dd>The number of timesteps represented in the cohort. If there is no aggregation, all values are equal to 1.</dd><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><pre>array([[ 7.,  7.],\n",
       "       [ 7., nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_timestep</span></div><div class='xr-var-dims'>(functional_group, cohort)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.0 14.0 7.0 nan</div><input id='attrs-3b5ef22b-d38a-405d-8bd9-7b708801a451' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b5ef22b-d38a-405d-8bd9-7b708801a451' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56d6a9ad-21b6-4e7c-9359-4405711db54b' class='xr-var-data-in' type='checkbox'><label for='data-56d6a9ad-21b6-4e7c-9359-4405711db54b' 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>description :</span></dt><dd>The minimum timestep index.</dd><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><pre>array([[ 7., 14.],\n",
       "       [ 7., nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>max_timestep</span></div><div class='xr-var-dims'>(functional_group, cohort)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.0 14.0 7.0 nan</div><input id='attrs-9f894e41-9f16-4b83-91ea-5f8b999c352f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f894e41-9f16-4b83-91ea-5f8b999c352f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09b0b6a9-2d60-4634-8975-3dc607b9db6d' class='xr-var-data-in' type='checkbox'><label for='data-09b0b6a9-2d60-4634-8975-3dc607b9db6d' 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>description :</span></dt><dd>The maximum timestep index.</dd><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><pre>array([[ 7., 14.],\n",
       "       [ 7., nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_timestep</span></div><div class='xr-var-dims'>(functional_group, cohort)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.0 14.0 7.0 nan</div><input id='attrs-8a6df8c3-713b-4619-bbee-69f47a7bde16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a6df8c3-713b-4619-bbee-69f47a7bde16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4fb615ae-3f3e-4a7e-82d1-bbac7ae3712f' class='xr-var-data-in' type='checkbox'><label for='data-4fb615ae-3f3e-4a7e-82d1-bbac7ae3712f' 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>description :</span></dt><dd>The mean timestep index.</dd><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><pre>array([[ 7., 14.],\n",
       "       [ 7., nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>timestep</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.0</div><input id='attrs-f77d1b5c-e744-434e-91c0-c5af5b7af88a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f77d1b5c-e744-434e-91c0-c5af5b7af88a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e287d39d-a17c-4e8a-907a-b6e536c74435' class='xr-var-data-in' type='checkbox'><label for='data-e287d39d-a17c-4e8a-907a-b6e536c74435' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><pre>array(7.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle_horizon_sun</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-ab388afd-3d36-44bb-8657-be68f8d70648' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ab388afd-3d36-44bb-8657-be68f8d70648' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7d6ef0e-5657-4e61-a057-6b8f2472e336' class='xr-var-data-in' type='checkbox'><label for='data-e7d6ef0e-5657-4e61-a057-6b8f2472e336' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(0.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>compute_initial_conditions</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>False</div><input id='attrs-563152a1-87cc-449b-b4c7-5ecd1b04ffce' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-563152a1-87cc-449b-b4c7-5ecd1b04ffce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3722c4bf-4935-4886-b1a3-0d9f9c368a67' class='xr-var-data-in' type='checkbox'><label for='data-3722c4bf-4935-4886-b1a3-0d9f9c368a67' 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(False)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>compute_preproduction</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>False</div><input id='attrs-1d8fbcb2-27ca-4df3-9a7b-5f8731125504' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1d8fbcb2-27ca-4df3-9a7b-5f8731125504' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb5ac528-ef28-44c5-ace6-4573d4884e8a' class='xr-var-data-in' type='checkbox'><label for='data-cb5ac528-ef28-44c5-ace6-4573d4884e8a' 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(False)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6bb9111b-e796-4985-802f-ad0782423898' class='xr-section-summary-in' type='checkbox'  ><label for='section-6bb9111b-e796-4985-802f-ad0782423898' class='xr-section-summary' >Indexes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>functional_group</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-07ec39ee-4ed5-4293-96bb-fe1055f5fc5d' class='xr-index-data-in' type='checkbox'/><label for='index-07ec39ee-4ed5-4293-96bb-fe1055f5fc5d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1], dtype=&#x27;int64&#x27;, name=&#x27;functional_group&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-e894d1be-5397-44aa-93c5-71e4dac3e0a2' class='xr-index-data-in' type='checkbox'/><label for='index-e894d1be-5397-44aa-93c5-71e4dac3e0a2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2000-01-02&#x27;, &#x27;2000-01-09&#x27;, &#x27;2000-01-16&#x27;, &#x27;2000-01-23&#x27;,\n",
       "               &#x27;2000-01-30&#x27;, &#x27;2000-02-06&#x27;, &#x27;2000-02-13&#x27;, &#x27;2000-02-20&#x27;,\n",
       "               &#x27;2000-02-27&#x27;, &#x27;2000-03-05&#x27;, &#x27;2000-03-12&#x27;, &#x27;2000-03-19&#x27;,\n",
       "               &#x27;2000-03-26&#x27;, &#x27;2000-04-02&#x27;, &#x27;2000-04-09&#x27;, &#x27;2000-04-16&#x27;,\n",
       "               &#x27;2000-04-23&#x27;, &#x27;2000-04-30&#x27;, &#x27;2000-05-07&#x27;, &#x27;2000-05-14&#x27;,\n",
       "               &#x27;2000-05-21&#x27;, &#x27;2000-05-28&#x27;, &#x27;2000-06-04&#x27;, &#x27;2000-06-11&#x27;,\n",
       "               &#x27;2000-06-18&#x27;, &#x27;2000-06-25&#x27;, &#x27;2000-07-02&#x27;, &#x27;2000-07-09&#x27;,\n",
       "               &#x27;2000-07-16&#x27;, &#x27;2000-07-23&#x27;, &#x27;2000-07-30&#x27;, &#x27;2000-08-06&#x27;,\n",
       "               &#x27;2000-08-13&#x27;, &#x27;2000-08-20&#x27;, &#x27;2000-08-27&#x27;, &#x27;2000-09-03&#x27;,\n",
       "               &#x27;2000-09-10&#x27;, &#x27;2000-09-17&#x27;, &#x27;2000-09-24&#x27;, &#x27;2000-10-01&#x27;,\n",
       "               &#x27;2000-10-08&#x27;, &#x27;2000-10-15&#x27;, &#x27;2000-10-22&#x27;, &#x27;2000-10-29&#x27;,\n",
       "               &#x27;2000-11-05&#x27;, &#x27;2000-11-12&#x27;, &#x27;2000-11-19&#x27;, &#x27;2000-11-26&#x27;,\n",
       "               &#x27;2000-12-03&#x27;, &#x27;2000-12-10&#x27;, &#x27;2000-12-17&#x27;, &#x27;2000-12-24&#x27;,\n",
       "               &#x27;2000-12-31&#x27;, &#x27;2001-01-07&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=&#x27;W-SUN&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-1832197b-e1a5-4aae-b959-0249e23d44df' class='xr-index-data-in' type='checkbox'/><label for='index-1832197b-e1a5-4aae-b959-0249e23d44df' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0], dtype=&#x27;int64&#x27;, name=&#x27;latitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-d916cb9d-c806-4ddf-9c07-e012df4dcaa0' class='xr-index-data-in' type='checkbox'/><label for='index-d916cb9d-c806-4ddf-9c07-e012df4dcaa0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0], dtype=&#x27;int64&#x27;, name=&#x27;longitude&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>cohort</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-aaf7e6ea-d7a9-402c-8bc2-d414362eb7c0' class='xr-index-data-in' type='checkbox'/><label for='index-aaf7e6ea-d7a9-402c-8bc2-d414362eb7c0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1], dtype=&#x27;int64&#x27;, name=&#x27;cohort&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>layer</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-b89c8036-ee0a-4890-89c2-087c69e15bd6' class='xr-index-data-in' type='checkbox'/><label for='index-b89c8036-ee0a-4890-89c2-087c69e15bd6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0], dtype=&#x27;int64&#x27;, name=&#x27;layer&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f0b330e1-6307-46c4-aa4e-8d137ec2677f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f0b330e1-6307-46c4-aa4e-8d137ec2677f' 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> Size: 2kB\n",
       "Dimensions:                     (functional_group: 2, time: 54, latitude: 1,\n",
       "                                 longitude: 1, cohort: 2, layer: 1)\n",
       "Coordinates:\n",
       "  * functional_group            (functional_group) int64 16B 0 1\n",
       "  * time                        (time) datetime64[ns] 432B 2000-01-02 ... 200...\n",
       "  * latitude                    (latitude) int64 8B 0\n",
       "  * longitude                   (longitude) int64 8B 0\n",
       "  * cohort                      (cohort) int64 16B 0 1\n",
       "  * layer                       (layer) int64 8B 0\n",
       "Data variables: (12/17)\n",
       "    biomass                     (functional_group, time, latitude, longitude) float64 864B ...\n",
       "    name                        (functional_group) <U8 64B 'D0N0' 'D0N0_BIS'\n",
       "    energy_transfert            (functional_group) float64 16B 0.1668 0.0834\n",
       "    lambda_temperature_0        (functional_group) float64 16B 0.006667 0.003333\n",
       "    gamma_lambda_temperature    (functional_group) float64 16B 0.15 0.075\n",
       "    tr_0                        (functional_group) float64 16B 10.38 5.19\n",
       "    ...                          ...\n",
       "    max_timestep                (functional_group, cohort) float64 32B 7.0 .....\n",
       "    mean_timestep               (functional_group, cohort) float64 32B 7.0 .....\n",
       "    timestep                    float64 8B 7.0\n",
       "    angle_horizon_sun           float64 8B 0.0\n",
       "    compute_initial_conditions  bool 1B False\n",
       "    compute_preproduction       bool 1B False"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "no_transport_model.run()\n",
    "no_transport_model.state.load()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting the results\n",
    "\n",
    "#### The biomass evolution over time\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(9, 3))\n",
    "no_transport_model.state[\"biomass\"].mean([\"latitude\", \"longitude\"]).plot(\n",
    "    label=\"Zoo Seapopym\", x=\"time\", hue=\"functional_group\"\n",
    ")\n",
    "plt.legend()\n",
    "plt.title(\"Evolution of the biomass\")\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "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": "3.13.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}