{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# A simple 1D model implementation\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 import NoTransportModel\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": [
    {
     "data": {
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
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       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
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       "  padding-right: 10px;\n",
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       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
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       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
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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 0.409...\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-c7519056-3cb7-4146-8cf8-6458cefde743' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c7519056-3cb7-4146-8cf8-6458cefde743' 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-3711a97b-61f7-45e8-a9ed-74aefce78c57' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3711a97b-61f7-45e8-a9ed-74aefce78c57' 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-0a0ab8da-4f1d-4b09-8066-53d16b444a00' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a0ab8da-4f1d-4b09-8066-53d16b444a00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66946bcb-9ea7-4e1b-b64f-f79ec44bb9ba' class='xr-var-data-in' type='checkbox'><label for='data-66946bcb-9ea7-4e1b-b64f-f79ec44bb9ba' title='Show/Hide data 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-e3752ce0-7a6b-46d3-b2e1-b7345e914c6b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3752ce0-7a6b-46d3-b2e1-b7345e914c6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aaaa7636-73bc-4872-aab8-da1eeea4b0b1' class='xr-var-data-in' type='checkbox'><label for='data-aaaa7636-73bc-4872-aab8-da1eeea4b0b1' title='Show/Hide data 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-2227b86e-68ff-4c95-b12d-42a1677e2f55' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2227b86e-68ff-4c95-b12d-42a1677e2f55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee1b2bdc-5147-48d4-af25-ee738829d5a7' class='xr-var-data-in' type='checkbox'><label for='data-ee1b2bdc-5147-48d4-af25-ee738829d5a7' title='Show/Hide data 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-fbdfeeb5-95ca-4830-a25a-ab4fe7848ee7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fbdfeeb5-95ca-4830-a25a-ab4fe7848ee7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-acbe10c8-a591-426d-8124-d10f9e9b7235' class='xr-var-data-in' type='checkbox'><label for='data-acbe10c8-a591-426d-8124-d10f9e9b7235' title='Show/Hide data 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-51eea8db-f917-4fb6-846b-265e052469af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51eea8db-f917-4fb6-846b-265e052469af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5fbbe5d3-1e81-48a6-9514-14f1cfe81a37' class='xr-var-data-in' type='checkbox'><label for='data-5fbbe5d3-1e81-48a6-9514-14f1cfe81a37' title='Show/Hide data 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-fe0eb292-c5c4-43b2-ae00-b606e73416ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe0eb292-c5c4-43b2-ae00-b606e73416ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df56656a-c189-499b-ae04-d4df1d38ee12' class='xr-var-data-in' type='checkbox'><label for='data-df56656a-c189-499b-ae04-d4df1d38ee12' title='Show/Hide data 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-acf67d1f-38c1-4e83-bd18-baeb2e36517b' class='xr-section-summary-in' type='checkbox'  ><label for='section-acf67d1f-38c1-4e83-bd18-baeb2e36517b' 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-a9961d8d-f1d6-4450-8ec3-248782187e4a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9961d8d-f1d6-4450-8ec3-248782187e4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-053c19fe-d3a0-4ac6-afc8-a15dfc82a62f' class='xr-var-data-in' type='checkbox'><label for='data-053c19fe-d3a0-4ac6-afc8-a15dfc82a62f' title='Show/Hide data 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'>0.4097 0.8611 ... 0.2935 0.1967</div><input id='attrs-47788026-741a-4007-af77-2365edff1bd4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47788026-741a-4007-af77-2365edff1bd4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8db98327-5c0a-49d1-b7e5-5ceb17ed7928' class='xr-var-data-in' type='checkbox'><label for='data-8db98327-5c0a-49d1-b7e5-5ceb17ed7928' title='Show/Hide data 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([[[0.40971724]],\n",
       "\n",
       "       [[0.86110761]],\n",
       "\n",
       "       [[0.78992291]],\n",
       "\n",
       "       [[0.39577809]],\n",
       "\n",
       "       [[0.66765583]],\n",
       "\n",
       "       [[0.89406038]],\n",
       "\n",
       "       [[0.01360631]],\n",
       "\n",
       "       [[0.58055348]],\n",
       "\n",
       "       [[0.29145258]],\n",
       "\n",
       "       [[0.97425778]],\n",
       "\n",
       "...\n",
       "\n",
       "       [[0.6783646 ]],\n",
       "\n",
       "       [[0.41868511]],\n",
       "\n",
       "       [[0.81550287]],\n",
       "\n",
       "       [[0.87888598]],\n",
       "\n",
       "       [[0.3247767 ]],\n",
       "\n",
       "       [[0.47070832]],\n",
       "\n",
       "       [[0.5236295 ]],\n",
       "\n",
       "       [[0.36007249]],\n",
       "\n",
       "       [[0.29354815]],\n",
       "\n",
       "       [[0.19670505]]])</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-7f9cbf44-e9e8-4371-8ba0-26c38ee0d0c9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7f9cbf44-e9e8-4371-8ba0-26c38ee0d0c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a430f3f-551c-4cb1-a67d-b81c12a91670' class='xr-var-data-in' type='checkbox'><label for='data-0a430f3f-551c-4cb1-a67d-b81c12a91670' title='Show/Hide data 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-0edcea20-8867-41e3-b618-948915a659f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0edcea20-8867-41e3-b618-948915a659f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c32218a8-cc2b-48aa-b0d7-517a89413709' class='xr-var-data-in' type='checkbox'><label for='data-c32218a8-cc2b-48aa-b0d7-517a89413709' title='Show/Hide data 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-e2f11003-fb93-4fb3-9de0-9e7ec83efd70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2f11003-fb93-4fb3-9de0-9e7ec83efd70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5788bb19-c61d-4633-95b5-db8d433b81b8' class='xr-var-data-in' type='checkbox'><label for='data-5788bb19-c61d-4633-95b5-db8d433b81b8' title='Show/Hide data 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-95fc98a8-817e-4ac9-8b76-28fcf92a34be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95fc98a8-817e-4ac9-8b76-28fcf92a34be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e039be43-9a56-4ae9-99aa-e58a693c0de7' class='xr-var-data-in' type='checkbox'><label for='data-e039be43-9a56-4ae9-99aa-e58a693c0de7' title='Show/Hide data 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-0085d9af-4caf-464e-a521-032e48dfd35b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0085d9af-4caf-464e-a521-032e48dfd35b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad40f131-a8b8-4687-84eb-bdd6e61a47aa' class='xr-var-data-in' type='checkbox'><label for='data-ad40f131-a8b8-4687-84eb-bdd6e61a47aa' title='Show/Hide data 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-f2ef6fb6-aba4-40a8-9408-5371b5ca2b4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2ef6fb6-aba4-40a8-9408-5371b5ca2b4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b25ceb2-490d-411d-b5ae-ac94c64d1300' class='xr-var-data-in' type='checkbox'><label for='data-7b25ceb2-490d-411d-b5ae-ac94c64d1300' title='Show/Hide data 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-fdd24b91-5624-44d7-b2fc-95fbdff3f298' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fdd24b91-5624-44d7-b2fc-95fbdff3f298' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12df0990-c4b3-45f0-a55e-86fba4da71e4' class='xr-var-data-in' type='checkbox'><label for='data-12df0990-c4b3-45f0-a55e-86fba4da71e4' title='Show/Hide data 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-d92762a6-ce6e-4ee5-91f5-c4388eb87b1a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d92762a6-ce6e-4ee5-91f5-c4388eb87b1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8234e474-6eaf-4f2b-bbf4-7fe81739d6ad' class='xr-var-data-in' type='checkbox'><label for='data-8234e474-6eaf-4f2b-bbf4-7fe81739d6ad' title='Show/Hide data 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-4ee8c3c1-6e9f-4b07-9af2-4119c81be26a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ee8c3c1-6e9f-4b07-9af2-4119c81be26a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-447d443b-d8f4-46f8-80b7-7cdb38fee90b' class='xr-var-data-in' type='checkbox'><label for='data-447d443b-d8f4-46f8-80b7-7cdb38fee90b' title='Show/Hide data 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-2e4cddff-364b-4691-b6d1-b244caa5ab02' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e4cddff-364b-4691-b6d1-b244caa5ab02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34f0cc5f-e26d-4b7d-8227-d7b42cac6500' class='xr-var-data-in' type='checkbox'><label for='data-34f0cc5f-e26d-4b7d-8227-d7b42cac6500' title='Show/Hide data 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-eb752a1c-ee89-49c7-8b12-e011be856194' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb752a1c-ee89-49c7-8b12-e011be856194' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f81d196-53f3-46e6-87eb-f48c9f5785fc' class='xr-var-data-in' type='checkbox'><label for='data-9f81d196-53f3-46e6-87eb-f48c9f5785fc' title='Show/Hide data 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-f6e6c955-d70c-4adf-b83a-d3c472619833' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6e6c955-d70c-4adf-b83a-d3c472619833' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8fa68a3-5c32-40ee-9c49-c4b58f0a5fd5' class='xr-var-data-in' type='checkbox'><label for='data-b8fa68a3-5c32-40ee-9c49-c4b58f0a5fd5' title='Show/Hide data 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-11c2910a-6b94-4dbd-9acf-f5402de1b6e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11c2910a-6b94-4dbd-9acf-f5402de1b6e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ab9d2a2-592b-41ca-a54a-1e0d43d46a00' class='xr-var-data-in' type='checkbox'><label for='data-9ab9d2a2-592b-41ca-a54a-1e0d43d46a00' title='Show/Hide data 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-f65feb95-5679-4158-a517-76440dd40d25' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f65feb95-5679-4158-a517-76440dd40d25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ab2a891-d663-477b-89a3-910f08c4982b' class='xr-var-data-in' type='checkbox'><label for='data-4ab2a891-d663-477b-89a3-910f08c4982b' title='Show/Hide data 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-f50e5642-0b70-4e42-b5a9-60e437d063a3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f50e5642-0b70-4e42-b5a9-60e437d063a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb078a45-c451-4f8d-b740-8189e7f212ea' class='xr-var-data-in' type='checkbox'><label for='data-bb078a45-c451-4f8d-b740-8189e7f212ea' title='Show/Hide data 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-981323d6-4ad3-4d3c-bdcc-45e6bba419da' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-981323d6-4ad3-4d3c-bdcc-45e6bba419da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a579d75-9627-4e77-91ae-817d31a5b468' class='xr-var-data-in' type='checkbox'><label for='data-1a579d75-9627-4e77-91ae-817d31a5b468' title='Show/Hide data 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-d27e67e8-0344-468c-9c8a-e641ce00ca63' class='xr-section-summary-in' type='checkbox'  ><label for='section-d27e67e8-0344-468c-9c8a-e641ce00ca63' 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-01531dcc-a843-45c6-ac48-009b846280a3' class='xr-index-data-in' type='checkbox'/><label for='index-01531dcc-a843-45c6-ac48-009b846280a3' 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-d3ff9163-60d8-4930-8045-c828a7c4ef09' class='xr-index-data-in' type='checkbox'/><label for='index-d3ff9163-60d8-4930-8045-c828a7c4ef09' 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-3bb384a9-d771-49c5-a761-91ba9e00096e' class='xr-index-data-in' type='checkbox'/><label for='index-3bb384a9-d771-49c5-a761-91ba9e00096e' 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-009a2d0d-1445-472a-8c5b-843d68329e9a' class='xr-index-data-in' type='checkbox'/><label for='index-009a2d0d-1445-472a-8c5b-843d68329e9a' 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-ff7a7bc0-365e-4104-9bcb-1a28be5c9ddc' class='xr-index-data-in' type='checkbox'/><label for='index-ff7a7bc0-365e-4104-9bcb-1a28be5c9ddc' 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-3374a0f9-f388-412f-b29c-70b053d79c56' class='xr-index-data-in' type='checkbox'/><label for='index-3374a0f9-f388-412f-b29c-70b053d79c56' 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-412f3ce4-ae0f-4310-ae32-c43d9eeb318a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-412f3ce4-ae0f-4310-ae32-c43d9eeb318a' 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 0.409...\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 = NoTransportModel.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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       ".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: 50kB\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 ... 20...\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: (12/28)\n",
       "    biomass                       (functional_group, time, latitude, longitude) float64 6kB ...\n",
       "    recruited                     (functional_group, time, latitude, longitude) float64 6kB ...\n",
       "    mortality_field               (functional_group, time, latitude, longitude) float64 6kB ...\n",
       "    mask_temperature              (functional_group, time, latitude, longitude, cohort) bool 8kB ...\n",
       "    min_temperature               (functional_group, cohort) float64 176B 21....\n",
       "    primary_production_by_fgroup  (functional_group, time, latitude, longitude) float64 6kB ...\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-74167948-5d01-4d03-bdcf-a71ba50015af' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-74167948-5d01-4d03-bdcf-a71ba50015af' 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-2d34d35d-e7c9-4d12-bc1f-356124b48991' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2d34d35d-e7c9-4d12-bc1f-356124b48991' 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-c80b4ec8-1b49-4160-b575-868b2fad2b81' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c80b4ec8-1b49-4160-b575-868b2fad2b81' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-228cea7e-084b-466d-abe9-184a63567f9c' class='xr-var-data-in' type='checkbox'><label for='data-228cea7e-084b-466d-abe9-184a63567f9c' title='Show/Hide data 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-746ede03-b214-4f79-a160-f19f39829e93' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-746ede03-b214-4f79-a160-f19f39829e93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5727c85c-70bc-41e7-ba35-7c0f3a42b6e4' class='xr-var-data-in' type='checkbox'><label for='data-5727c85c-70bc-41e7-ba35-7c0f3a42b6e4' title='Show/Hide data 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-65c312e2-a4b7-4f21-bdbc-50c06165ff48' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65c312e2-a4b7-4f21-bdbc-50c06165ff48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61b1816d-d011-4300-9537-4c2650d0ef7a' class='xr-var-data-in' type='checkbox'><label for='data-61b1816d-d011-4300-9537-4c2650d0ef7a' title='Show/Hide data 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-89a8ae87-8728-4912-97ee-182ca466f933' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89a8ae87-8728-4912-97ee-182ca466f933' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-833eacb1-f4a7-4574-9302-cc32aae5b354' class='xr-var-data-in' type='checkbox'><label for='data-833eacb1-f4a7-4574-9302-cc32aae5b354' title='Show/Hide data 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-24fb3daf-1079-4366-b6d8-baa6dc47195c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24fb3daf-1079-4366-b6d8-baa6dc47195c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-237d5f76-c741-42fb-9e0c-152c89c892d8' class='xr-var-data-in' type='checkbox'><label for='data-237d5f76-c741-42fb-9e0c-152c89c892d8' title='Show/Hide data 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-9ce7fdfa-0995-45a6-9750-f69aedabd009' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ce7fdfa-0995-45a6-9750-f69aedabd009' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6be5baa-0db2-4b61-b332-390a84abaae6' class='xr-var-data-in' type='checkbox'><label for='data-c6be5baa-0db2-4b61-b332-390a84abaae6' title='Show/Hide data 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-f5242a64-abfd-40af-8825-4c032843ce0c' class='xr-section-summary-in' type='checkbox'  ><label for='section-f5242a64-abfd-40af-8825-4c032843ce0c' class='xr-section-summary' >Data variables: <span>(28)</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 0.06834 0.2075 ... 6.184 6.151</div><input id='attrs-1b3000b7-e4d2-4739-ade0-38f2f5394270' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b3000b7-e4d2-4739-ade0-38f2f5394270' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7566c2ec-b80f-4c63-8446-5875c3b210d4' class='xr-var-data-in' type='checkbox'><label for='data-7566c2ec-b80f-4c63-8446-5875c3b210d4' title='Show/Hide data 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",
       "        [[0.06834083]],\n",
       "\n",
       "        [[0.20745979]],\n",
       "\n",
       "        [[0.32499636]],\n",
       "\n",
       "        [[0.36788786]],\n",
       "\n",
       "        [[0.45208791]],\n",
       "\n",
       "        [[0.56657765]],\n",
       "\n",
       "        [[0.52380588]],\n",
       "\n",
       "        [[0.57744403]],\n",
       "\n",
       "        [[0.57666319]],\n",
       "\n",
       "...\n",
       "\n",
       "        [[6.29832963]],\n",
       "\n",
       "        [[6.25474021]],\n",
       "\n",
       "        [[6.2554494 ]],\n",
       "\n",
       "        [[6.23341722]],\n",
       "\n",
       "        [[6.24358368]],\n",
       "\n",
       "        [[6.25782081]],\n",
       "\n",
       "        [[6.22456387]],\n",
       "\n",
       "        [[6.20263469]],\n",
       "\n",
       "        [[6.18415211]],\n",
       "\n",
       "        [[6.15101191]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>recruited</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 0.06834 ... 0.04367 0.03003</div><input id='attrs-c6db8cc9-f3f4-4ffe-9145-7748fcff9b80' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6db8cc9-f3f4-4ffe-9145-7748fcff9b80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec8d516f-a130-4e59-823f-03f1260c81b8' class='xr-var-data-in' type='checkbox'><label for='data-ec8d516f-a130-4e59-823f-03f1260c81b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>production</dd><dt><span>long_name :</span></dt><dd>production</dd><dt><span>units :</span></dt><dd>kilogram / day / meter ** 2</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.00000000e+00]],\n",
       "\n",
       "        [[6.83408349e-02]],\n",
       "\n",
       "        [[1.43632750e-01]],\n",
       "\n",
       "        [[1.31759142e-01]],\n",
       "\n",
       "        [[6.60157861e-02]],\n",
       "\n",
       "        [[1.11364992e-01]],\n",
       "\n",
       "        [[1.49129272e-01]],\n",
       "\n",
       "        [[2.26953188e-03]],\n",
       "\n",
       "        [[9.68363212e-02]],\n",
       "\n",
       "        [[4.86142898e-02]],\n",
       "\n",
       "...\n",
       "\n",
       "        [[7.57285902e-02]],\n",
       "\n",
       "        [[1.16038006e-02]],\n",
       "\n",
       "        [[5.65756076e-02]],\n",
       "\n",
       "        [[3.49183384e-02]],\n",
       "\n",
       "        [[6.80129393e-02]],\n",
       "\n",
       "        [[7.32990909e-02]],\n",
       "\n",
       "        [[2.70863767e-02]],\n",
       "\n",
       "        [[3.92570735e-02]],\n",
       "\n",
       "        [[4.36707007e-02]],\n",
       "\n",
       "        [[3.00300459e-02]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mortality_field</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'>0.9387 0.9364 0.934 ... 0.99 0.9898</div><input id='attrs-bd0cf2e9-4f36-4523-a3cb-1aff4de845b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd0cf2e9-4f36-4523-a3cb-1aff4de845b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cae3c3cc-5d9e-4fba-952f-14d9d3b137e4' class='xr-var-data-in' type='checkbox'><label for='data-cae3c3cc-5d9e-4fba-952f-14d9d3b137e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>mortality</dd><dt><span>long_name :</span></dt><dd>mortality coefficient</dd><dt><span>description :</span></dt><dd>Mortality coefficient according to the temperature.</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.93870729]],\n",
       "\n",
       "        [[0.93637203]],\n",
       "\n",
       "        [[0.9339517 ]],\n",
       "\n",
       "        [[0.93144421]],\n",
       "\n",
       "        [[0.92884755]],\n",
       "\n",
       "        [[0.92615971]],\n",
       "\n",
       "        [[0.92337878]],\n",
       "\n",
       "        [[0.92050287]],\n",
       "\n",
       "        [[0.91753018]],\n",
       "\n",
       "        [[0.91445901]],\n",
       "\n",
       "...\n",
       "\n",
       "        [[0.99140198]],\n",
       "\n",
       "        [[0.99123685]],\n",
       "\n",
       "        [[0.99106815]],\n",
       "\n",
       "        [[0.99089586]],\n",
       "\n",
       "        [[0.99071994]],\n",
       "\n",
       "        [[0.99054038]],\n",
       "\n",
       "        [[0.99035713]],\n",
       "\n",
       "        [[0.99017019]],\n",
       "\n",
       "        [[0.98997954]],\n",
       "\n",
       "        [[0.98978514]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask_temperature</span></div><div class='xr-var-dims'>(functional_group, time, latitude, longitude, cohort)</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>False True True ... False False</div><input id='attrs-a34a5cf8-d5eb-481a-abda-a783d391c693' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a34a5cf8-d5eb-481a-abda-a783d391c693' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81bb1fe8-45af-491c-8b6a-af0b115906ab' class='xr-var-data-in' type='checkbox'><label for='data-81bb1fe8-45af-491c-8b6a-af0b115906ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>mask</dd><dt><span>long_name :</span></dt><dd>cohort recruitment mask by functional group</dd><dt><span>description :</span></dt><dd>Mask to recruit a cohort according to the temperature.</dd><dt><span>flag_values :</span></dt><dd>[0, 1]</dd><dt><span>flag_meanings :</span></dt><dd>0:not recruited, 1:recruited</dd></dl></div><div class='xr-var-data'><pre>array([[[[[False,  True,  True, ...,  True,  True,  True]]],\n",
       "\n",
       "\n",
       "        [[[False,  True,  True, ...,  True,  True,  True]]],\n",
       "\n",
       "\n",
       "        [[[False,  True,  True, ...,  True,  True,  True]]],\n",
       "\n",
       "\n",
       "        ...,\n",
       "\n",
       "\n",
       "        [[[False, False,  True, ...,  True,  True,  True]]],\n",
       "\n",
       "\n",
       "        [[[False, False,  True, ...,  True,  True,  True]]],\n",
       "\n",
       "\n",
       "        [[[False,  True,  True, ...,  True,  True,  True]]]],\n",
       "\n",
       "...\n",
       "       [[[[False, False,  True, ..., False, False, False]]],\n",
       "\n",
       "\n",
       "        [[[False, False,  True, ..., False, False, False]]],\n",
       "\n",
       "\n",
       "        [[[False, False,  True, ..., False, False, False]]],\n",
       "\n",
       "\n",
       "        ...,\n",
       "\n",
       "\n",
       "        [[[False, False,  True, ..., False, False, False]]],\n",
       "\n",
       "\n",
       "        [[[False, False,  True, ..., False, False, False]]],\n",
       "\n",
       "\n",
       "        [[[False, False,  True, ..., False, False, False]]]]],\n",
       "      shape=(2, 367, 1, 1, 11))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>min_temperature</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'>21.27 14.97 11.28 ... nan nan nan</div><input id='attrs-27e7412d-3eea-4083-b8b3-6456296d0fa7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27e7412d-3eea-4083-b8b3-6456296d0fa7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3cd7093b-016d-4686-ae3e-ed1e310ca7ab' class='xr-var-data-in' type='checkbox'><label for='data-3cd7093b-016d-4686-ae3e-ed1e310ca7ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>minimum temperature</dd><dt><span>long_name :</span></dt><dd>minimum temperature by cohort</dd><dt><span>description :</span></dt><dd>Minimum temperature to recruit a cohort according to its age.</dd><dt><span>units :</span></dt><dd>degree_Celsius</dd></dl></div><div class='xr-var-data'><pre>array([[21.27164434, 14.97030634, 11.2842599 ,  8.66896833,  6.64039059,\n",
       "         4.9829219 ,  3.58155208,  2.36763033,  1.29687546,  0.33905259,\n",
       "        -0.52740359],\n",
       "       [29.94061268, 17.33793667,  9.96584379,  4.73526066,  0.67810518,\n",
       "        -2.63683222,         nan,         nan,         nan,         nan,\n",
       "                nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>primary_production_by_fgroup</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'>0.06834 0.1436 ... 0.02448 0.01641</div><input id='attrs-97b81eb5-35aa-44cb-80af-2bc475964831' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97b81eb5-35aa-44cb-80af-2bc475964831' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a689f1fa-509a-4f45-b6f1-2ff5ff583fd4' class='xr-var-data-in' type='checkbox'><label for='data-a689f1fa-509a-4f45-b6f1-2ff5ff583fd4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>primary production</dd><dt><span>long_name :</span></dt><dd>primary production by functional group</dd><dt><span>description :</span></dt><dd>Primary production by functional group according to their energy transfert coefficient.</dd><dt><span>units :</span></dt><dd>kilogram / day / meter ** 2</dd></dl></div><div class='xr-var-data'><pre>array([[[[0.06834083]],\n",
       "\n",
       "        [[0.14363275]],\n",
       "\n",
       "        [[0.13175914]],\n",
       "\n",
       "        [[0.06601579]],\n",
       "\n",
       "        [[0.11136499]],\n",
       "\n",
       "        [[0.14912927]],\n",
       "\n",
       "        [[0.00226953]],\n",
       "\n",
       "        [[0.09683632]],\n",
       "\n",
       "        [[0.04861429]],\n",
       "\n",
       "        [[0.1625062 ]],\n",
       "\n",
       "...\n",
       "\n",
       "        [[0.05657561]],\n",
       "\n",
       "        [[0.03491834]],\n",
       "\n",
       "        [[0.06801294]],\n",
       "\n",
       "        [[0.07329909]],\n",
       "\n",
       "        [[0.02708638]],\n",
       "\n",
       "        [[0.03925707]],\n",
       "\n",
       "        [[0.0436707 ]],\n",
       "\n",
       "        [[0.03003005]],\n",
       "\n",
       "        [[0.02448192]],\n",
       "\n",
       "        [[0.0164052 ]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>average_temperature</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'>15.0 15.26 15.51 ... 14.74 15.0</div><input id='attrs-fc8d7245-7f7c-4f0d-b521-396f3a2d5ad5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc8d7245-7f7c-4f0d-b521-396f3a2d5ad5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9281cae3-4715-4d13-81f4-2dc06fa7a1f4' class='xr-var-data-in' type='checkbox'><label for='data-9281cae3-4715-4d13-81f4-2dc06fa7a1f4' title='Show/Hide data 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>average sea temperature by fonctional group</dd><dt><span>standard_name :</span></dt><dd>sea water temperature</dd><dt><span>description :</span></dt><dd>Average temperature by functional group according to their layer position during day and night.</dd><dt><span>units :</span></dt><dd>degree_Celsius</dd></dl></div><div class='xr-var-data'><pre>array([[[[1.50000000e+01]],\n",
       "\n",
       "        [[1.52574949e+01]],\n",
       "\n",
       "        [[1.55149140e+01]],\n",
       "\n",
       "        [[1.57721813e+01]],\n",
       "\n",
       "        [[1.60292211e+01]],\n",
       "\n",
       "        [[1.62859575e+01]],\n",
       "\n",
       "        [[1.65423150e+01]],\n",
       "\n",
       "        [[1.67982179e+01]],\n",
       "\n",
       "        [[1.70535909e+01]],\n",
       "\n",
       "        [[1.73083587e+01]],\n",
       "\n",
       "...\n",
       "\n",
       "        [[1.26916413e+01]],\n",
       "\n",
       "        [[1.29464091e+01]],\n",
       "\n",
       "        [[1.32017821e+01]],\n",
       "\n",
       "        [[1.34576850e+01]],\n",
       "\n",
       "        [[1.37140425e+01]],\n",
       "\n",
       "        [[1.39707789e+01]],\n",
       "\n",
       "        [[1.42278187e+01]],\n",
       "\n",
       "        [[1.44850860e+01]],\n",
       "\n",
       "        [[1.47425051e+01]],\n",
       "\n",
       "        [[1.50000000e+01]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>day_length</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'>0.5 0.5 0.5 0.5 ... 0.5 0.5 0.5 0.5</div><input id='attrs-9d751a74-6df9-4c50-ad08-f051276d9e3a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d751a74-6df9-4c50-ad08-f051276d9e3a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f174ea7-1c4e-4a60-a406-c14054a4bd6e' class='xr-var-data-in' type='checkbox'><label for='data-5f174ea7-1c4e-4a60-a406-c14054a4bd6e' title='Show/Hide data 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>Day length</dd><dt><span>standard_name :</span></dt><dd>day_length</dd><dt><span>description :</span></dt><dd>Day length at the surface using Forsythe&#x27;s method.</dd><dt><span>units :</span></dt><dd>day</dd></dl></div><div class='xr-var-data'><pre>array([[[0.5]],\n",
       "\n",
       "       [[0.5]],\n",
       "\n",
       "       [[0.5]],\n",
       "\n",
       "       [[0.5]],\n",
       "\n",
       "       [[0.5]],\n",
       "\n",
       "       [[0.5]],\n",
       "\n",
       "       [[0.5]],\n",
       "\n",
       "       [[0.5]],\n",
       "\n",
       "       [[0.5]],\n",
       "\n",
       "       [[0.5]],\n",
       "\n",
       "...\n",
       "\n",
       "       [[0.5]],\n",
       "\n",
       "       [[0.5]],\n",
       "\n",
       "       [[0.5]],\n",
       "\n",
       "       [[0.5]],\n",
       "\n",
       "       [[0.5]],\n",
       "\n",
       "       [[0.5]],\n",
       "\n",
       "       [[0.5]],\n",
       "\n",
       "       [[0.5]],\n",
       "\n",
       "       [[0.5]],\n",
       "\n",
       "       [[0.5]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask_fgroup</span></div><div class='xr-var-dims'>(functional_group, latitude, longitude)</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>True True</div><input id='attrs-91e30507-4d9f-4195-9c19-90edcb778ec5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-91e30507-4d9f-4195-9c19-90edcb778ec5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e478655-be28-40ca-84c2-bf24ffcf09a8' class='xr-var-data-in' type='checkbox'><label for='data-9e478655-be28-40ca-84c2-bf24ffcf09a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>mask</dd><dt><span>long_name :</span></dt><dd>mask</dd><dt><span>flag_values :</span></dt><dd>[0, 1]</dd><dt><span>flag_meanings :</span></dt><dd>0:land, 1:ocean</dd></dl></div><div class='xr-var-data'><pre>array([[[ True]],\n",
       "\n",
       "       [[ True]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask</span></div><div class='xr-var-dims'>(latitude, longitude, layer)</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>True</div><input id='attrs-1665895e-2df6-43c2-8885-deb96a3cca2f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1665895e-2df6-43c2-8885-deb96a3cca2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f8d6052-a762-44e6-b149-1738f7ba1b47' class='xr-var-data-in' type='checkbox'><label for='data-3f8d6052-a762-44e6-b149-1738f7ba1b47' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>mask</dd><dt><span>long_name :</span></dt><dd>mask</dd><dt><span>flag_values :</span></dt><dd>[0, 1]</dd><dt><span>flag_meanings :</span></dt><dd>0:land, 1:ocean</dd></dl></div><div class='xr-var-data'><pre>array([[[ True]]])</pre></div></li><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-962adbba-2d68-42c4-9e24-e67f5a6d7d51' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-962adbba-2d68-42c4-9e24-e67f5a6d7d51' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d813b88-c209-4d6d-b54c-e67cd42cc6fe' class='xr-var-data-in' type='checkbox'><label for='data-8d813b88-c209-4d6d-b54c-e67cd42cc6fe' title='Show/Hide data 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'>0.4097 0.8611 ... 0.2935 0.1967</div><input id='attrs-cccff7d2-57a4-4199-8db4-5c41eca4e07a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cccff7d2-57a4-4199-8db4-5c41eca4e07a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1eff4a83-2273-4c6b-8592-e984874b71af' class='xr-var-data-in' type='checkbox'><label for='data-1eff4a83-2273-4c6b-8592-e984874b71af' title='Show/Hide data 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([[[0.40971724]],\n",
       "\n",
       "       [[0.86110761]],\n",
       "\n",
       "       [[0.78992291]],\n",
       "\n",
       "       [[0.39577809]],\n",
       "\n",
       "       [[0.66765583]],\n",
       "\n",
       "       [[0.89406038]],\n",
       "\n",
       "       [[0.01360631]],\n",
       "\n",
       "       [[0.58055348]],\n",
       "\n",
       "       [[0.29145258]],\n",
       "\n",
       "       [[0.97425778]],\n",
       "\n",
       "...\n",
       "\n",
       "       [[0.6783646 ]],\n",
       "\n",
       "       [[0.41868511]],\n",
       "\n",
       "       [[0.81550287]],\n",
       "\n",
       "       [[0.87888598]],\n",
       "\n",
       "       [[0.3247767 ]],\n",
       "\n",
       "       [[0.47070832]],\n",
       "\n",
       "       [[0.5236295 ]],\n",
       "\n",
       "       [[0.36007249]],\n",
       "\n",
       "       [[0.29354815]],\n",
       "\n",
       "       [[0.19670505]]])</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-66ee1385-350e-4524-815a-20276ab7f071' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-66ee1385-350e-4524-815a-20276ab7f071' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c77a7dd2-22e9-4137-8ef1-7f964a0d2bde' class='xr-var-data-in' type='checkbox'><label for='data-c77a7dd2-22e9-4137-8ef1-7f964a0d2bde' title='Show/Hide data 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-9e588fbb-9ea3-4d3f-9447-d15a508ed325' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e588fbb-9ea3-4d3f-9447-d15a508ed325' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a28773c5-e5d5-4e51-af8f-c475df2efad0' class='xr-var-data-in' type='checkbox'><label for='data-a28773c5-e5d5-4e51-af8f-c475df2efad0' title='Show/Hide data 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-f4a514dc-1595-41e2-94ff-c0c32411606e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4a514dc-1595-41e2-94ff-c0c32411606e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95a266a3-a5b2-41b6-b8ec-c9634899185c' class='xr-var-data-in' type='checkbox'><label for='data-95a266a3-a5b2-41b6-b8ec-c9634899185c' title='Show/Hide data 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-82190fd1-2b0e-4ac4-9fc9-6cf02212857b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82190fd1-2b0e-4ac4-9fc9-6cf02212857b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1f796b8-397a-42e4-9578-7f0f7fdbb5c3' class='xr-var-data-in' type='checkbox'><label for='data-b1f796b8-397a-42e4-9578-7f0f7fdbb5c3' title='Show/Hide data 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-45d84697-06c1-48ef-ae95-abef3365d7d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45d84697-06c1-48ef-ae95-abef3365d7d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56efe937-1dd7-4759-adba-8e68b4bec952' class='xr-var-data-in' type='checkbox'><label for='data-56efe937-1dd7-4759-adba-8e68b4bec952' title='Show/Hide data 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-6de001e0-c75d-43a5-af7b-40f5cb7bcbe2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6de001e0-c75d-43a5-af7b-40f5cb7bcbe2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5bb3f7f8-c50b-425d-af31-bea37e67bc45' class='xr-var-data-in' type='checkbox'><label for='data-5bb3f7f8-c50b-425d-af31-bea37e67bc45' title='Show/Hide data 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-70c68c66-fcde-4ba2-ab22-dba40c34c601' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-70c68c66-fcde-4ba2-ab22-dba40c34c601' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cb8170b-a8a7-47ba-9772-a627a860593a' class='xr-var-data-in' type='checkbox'><label for='data-8cb8170b-a8a7-47ba-9772-a627a860593a' title='Show/Hide data 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-5cee4fce-01cf-4bb8-843d-59e45197fc83' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5cee4fce-01cf-4bb8-843d-59e45197fc83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b811e08-b0d2-45de-a861-d061364f75df' class='xr-var-data-in' type='checkbox'><label for='data-2b811e08-b0d2-45de-a861-d061364f75df' title='Show/Hide data 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-ac67cf40-f8b5-4476-a1b9-6ca570797691' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac67cf40-f8b5-4476-a1b9-6ca570797691' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5faaa8fe-c157-4002-96e8-1874eb4b1179' class='xr-var-data-in' type='checkbox'><label for='data-5faaa8fe-c157-4002-96e8-1874eb4b1179' title='Show/Hide data 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-9f001dc9-3532-4e6b-90eb-4b8c5bf10e1f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f001dc9-3532-4e6b-90eb-4b8c5bf10e1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6501cf81-a670-4382-970f-913f6a079b02' class='xr-var-data-in' type='checkbox'><label for='data-6501cf81-a670-4382-970f-913f6a079b02' title='Show/Hide data 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-8af8b29b-8a79-42de-8d0a-658e6bc9ed49' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8af8b29b-8a79-42de-8d0a-658e6bc9ed49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92949d36-abd2-4855-bfdd-1258905f4284' class='xr-var-data-in' type='checkbox'><label for='data-92949d36-abd2-4855-bfdd-1258905f4284' title='Show/Hide data 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-30acaa1a-6e81-488d-9f6a-b05723e38f47' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30acaa1a-6e81-488d-9f6a-b05723e38f47' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c56b6d22-d20b-46d9-875e-a9eddb7244b2' class='xr-var-data-in' type='checkbox'><label for='data-c56b6d22-d20b-46d9-875e-a9eddb7244b2' title='Show/Hide data 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-0f5580c5-06d4-4cdd-b71f-783e5d1e60b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f5580c5-06d4-4cdd-b71f-783e5d1e60b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efa52d67-f5ed-4d99-93ed-6132a63f486b' class='xr-var-data-in' type='checkbox'><label for='data-efa52d67-f5ed-4d99-93ed-6132a63f486b' title='Show/Hide data 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-b5840944-02a9-4eba-9993-02d1210564a1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b5840944-02a9-4eba-9993-02d1210564a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-343ad078-a37e-45ee-9829-23439a17837e' class='xr-var-data-in' type='checkbox'><label for='data-343ad078-a37e-45ee-9829-23439a17837e' title='Show/Hide data 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-727a9d65-eab3-48d2-a30a-60c1b858dd00' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-727a9d65-eab3-48d2-a30a-60c1b858dd00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65276334-3686-4f1b-a165-2cd5942612cd' class='xr-var-data-in' type='checkbox'><label for='data-65276334-3686-4f1b-a165-2cd5942612cd' title='Show/Hide data 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-65ebc1a5-f20c-4822-98f0-c4bc63253960' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-65ebc1a5-f20c-4822-98f0-c4bc63253960' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9365db54-c6bf-4dc1-b13b-f6fefde33067' class='xr-var-data-in' type='checkbox'><label for='data-9365db54-c6bf-4dc1-b13b-f6fefde33067' title='Show/Hide data 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-459cc2a8-9c23-43f9-878c-e0643dc982fa' class='xr-section-summary-in' type='checkbox'  ><label for='section-459cc2a8-9c23-43f9-878c-e0643dc982fa' 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-ecb6492f-7d05-48d5-851a-704d9f5af030' class='xr-index-data-in' type='checkbox'/><label for='index-ecb6492f-7d05-48d5-851a-704d9f5af030' 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-101fddd5-7448-4ca5-8ef3-9c7398da47a9' class='xr-index-data-in' type='checkbox'/><label for='index-101fddd5-7448-4ca5-8ef3-9c7398da47a9' 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-1a8aaaf6-e190-4402-bafa-d3828a411429' class='xr-index-data-in' type='checkbox'/><label for='index-1a8aaaf6-e190-4402-bafa-d3828a411429' 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-57db3bd0-ae81-4471-8021-7f828160d837' class='xr-index-data-in' type='checkbox'/><label for='index-57db3bd0-ae81-4471-8021-7f828160d837' 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-1b1f23df-a7ae-423e-a0f1-10f0c111f691' class='xr-index-data-in' type='checkbox'/><label for='index-1b1f23df-a7ae-423e-a0f1-10f0c111f691' 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-024a55e3-7e14-44c3-beb8-b3268d710449' class='xr-index-data-in' type='checkbox'/><label for='index-024a55e3-7e14-44c3-beb8-b3268d710449' 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-4777e4cb-30d7-45c3-b48e-2174fb645016' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4777e4cb-30d7-45c3-b48e-2174fb645016' 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: 50kB\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 ... 20...\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: (12/28)\n",
       "    biomass                       (functional_group, time, latitude, longitude) float64 6kB ...\n",
       "    recruited                     (functional_group, time, latitude, longitude) float64 6kB ...\n",
       "    mortality_field               (functional_group, time, latitude, longitude) float64 6kB ...\n",
       "    mask_temperature              (functional_group, time, latitude, longitude, cohort) bool 8kB ...\n",
       "    min_temperature               (functional_group, cohort) float64 176B 21....\n",
       "    primary_production_by_fgroup  (functional_group, time, latitude, longitude) float64 6kB ...\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-a36e381c-51ce-11f0-a19c-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",
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       "    <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;\">9a95c16e</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-7b22cd8d-c774-46e0-94ca-26aa1dd8826f</p>\n",
       "            <table style=\"width: 100%; text-align: left;\">\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Comm:</strong> tcp://127.0.0.1:58431\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://127.0.0.1:58443\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://127.0.0.1:58446/status\" target=\"_blank\">http://127.0.0.1:58446/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://127.0.0.1:58434\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-zrcqmuqu\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://127.0.0.1:58442\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://127.0.0.1:58445/status\" target=\"_blank\">http://127.0.0.1:58445/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://127.0.0.1:58436\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-xzlcrucw\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://127.0.0.1:58444\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://127.0.0.1:58447/status\" target=\"_blank\">http://127.0.0.1:58447/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://127.0.0.1:58438\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-8t6336ji\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://127.0.0.1:58451\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://127.0.0.1:58452/status\" target=\"_blank\">http://127.0.0.1:58452/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://127.0.0.1:58440\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-9f3wbr2f\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://127.0.0.1:58431' 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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       "\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",
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       "\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",
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       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
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       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
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       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
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       "\n",
       ".xr-var-dims {\n",
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       "\n",
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       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
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       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
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       ".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",
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       "\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",
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       "\n",
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       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
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       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
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       "\n",
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       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
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       "\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",
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       "\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",
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       "\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",
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       "  fill: currentColor;\n",
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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 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-da4c3a2d-17c3-4eac-8696-ab2ee72b3530' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-da4c3a2d-17c3-4eac-8696-ab2ee72b3530' 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-31552580-de33-483d-be3a-136565e57bb7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-31552580-de33-483d-be3a-136565e57bb7' 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-3e4b7134-7fb1-4b69-a822-c9b46799c44a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e4b7134-7fb1-4b69-a822-c9b46799c44a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c4349b7-9440-4261-9278-1a3d004c155a' class='xr-var-data-in' type='checkbox'><label for='data-2c4349b7-9440-4261-9278-1a3d004c155a' title='Show/Hide data 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-15f9d363-3ad3-4c04-8895-1cef14da9b34' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15f9d363-3ad3-4c04-8895-1cef14da9b34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99edd9ea-56c9-4823-937c-d74d819d00f7' class='xr-var-data-in' type='checkbox'><label for='data-99edd9ea-56c9-4823-937c-d74d819d00f7' title='Show/Hide data 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-89144fc7-4e81-407d-87ee-a1fe510085f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89144fc7-4e81-407d-87ee-a1fe510085f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28045c38-b90a-4587-ae4d-9f4bea21e572' class='xr-var-data-in' type='checkbox'><label for='data-28045c38-b90a-4587-ae4d-9f4bea21e572' title='Show/Hide data 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-4fa4fd57-f13f-402b-9b1b-c3d5a8bba6ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4fa4fd57-f13f-402b-9b1b-c3d5a8bba6ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5248cb53-4df5-41f1-8cc0-2a2f545649aa' class='xr-var-data-in' type='checkbox'><label for='data-5248cb53-4df5-41f1-8cc0-2a2f545649aa' title='Show/Hide data 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-191e31cc-8988-4633-901d-78b9cda08d1c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-191e31cc-8988-4633-901d-78b9cda08d1c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05ebb5f6-22b7-479c-988d-42dadd48ac4a' class='xr-var-data-in' type='checkbox'><label for='data-05ebb5f6-22b7-479c-988d-42dadd48ac4a' title='Show/Hide data 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-9caa95c8-9871-47f1-a665-4e9607ef58e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9caa95c8-9871-47f1-a665-4e9607ef58e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9178c4c-3801-467c-81ef-0e0180bd4a9d' class='xr-var-data-in' type='checkbox'><label for='data-d9178c4c-3801-467c-81ef-0e0180bd4a9d' title='Show/Hide data 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-2e86a474-71ff-4c7d-8b19-897cdf76594f' class='xr-section-summary-in' type='checkbox'  ><label for='section-2e86a474-71ff-4c7d-8b19-897cdf76594f' 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-5435630c-40da-4a62-aaf4-f3378c52f948' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5435630c-40da-4a62-aaf4-f3378c52f948' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-672f782e-5d5d-4e20-8701-c5839532e5c6' class='xr-var-data-in' type='checkbox'><label for='data-672f782e-5d5d-4e20-8701-c5839532e5c6' title='Show/Hide data 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> 2.87 kiB </td>\n",
       "                        <td> 2.87 kiB </td>\n",
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       "    </tr>\n",
       "</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=(367, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-535c6971-7151-48c5-b17c-e6c798a0bd83' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-535c6971-7151-48c5-b17c-e6c798a0bd83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe9fddef-3237-4deb-8afe-7af0a352ec46' class='xr-var-data-in' type='checkbox'><label for='data-fe9fddef-3237-4deb-8afe-7af0a352ec46' title='Show/Hide data 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",
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       "                        <th> Dask graph </th>\n",
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       "                        <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>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-bc1a750d-3228-4166-84e2-9973b100bbb4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bc1a750d-3228-4166-84e2-9973b100bbb4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d8413a4-dc56-485d-b61c-da31f12c4c40' class='xr-var-data-in' type='checkbox'><label for='data-7d8413a4-dc56-485d-b61c-da31f12c4c40' title='Show/Hide data 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",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 64 B </td>\n",
       "                        <td> 32 B </td>\n",
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       "                        <td colspan=\"2\"> 2 chunks in 1 graph layer </td>\n",
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       "                    <tr>\n",
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       "                        <td colspan=\"2\"> <U8 numpy.ndarray </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-2d67b4ed-5e67-44fb-9cf6-cd7ee71cac79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d67b4ed-5e67-44fb-9cf6-cd7ee71cac79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-085121fc-a39b-4384-b0e2-2751b5473a96' class='xr-var-data-in' type='checkbox'><label for='data-085121fc-a39b-4384-b0e2-2751b5473a96' title='Show/Hide data 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",
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       "                        <th> Array </th>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 16 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",
       "                    </tr>\n",
       "                    <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>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-d102964c-d26c-4186-89e4-edbe245c6d52' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d102964c-d26c-4186-89e4-edbe245c6d52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c6fcf0f-3079-4abb-8c04-638f75c66873' class='xr-var-data-in' type='checkbox'><label for='data-1c6fcf0f-3079-4abb-8c04-638f75c66873' title='Show/Hide data 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",
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       "                        <th> Bytes </th>\n",
       "                        <td> 16 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>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-ce0b1848-0f7d-4800-9250-df437e7c95ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce0b1848-0f7d-4800-9250-df437e7c95ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a89c6a10-22e3-4c73-8e70-5c8c384b39e6' class='xr-var-data-in' type='checkbox'><label for='data-a89c6a10-22e3-4c73-8e70-5c8c384b39e6' title='Show/Hide data 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",
       "</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-c66f6bee-c73a-481c-9c93-0fc621c1ccc3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c66f6bee-c73a-481c-9c93-0fc621c1ccc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18d4d3a6-0426-49d2-bd89-178da7edb0c3' class='xr-var-data-in' type='checkbox'><label for='data-18d4d3a6-0426-49d2-bd89-178da7edb0c3' title='Show/Hide data 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",
       "                    </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",
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       "</svg>\n",
       "        </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-cb77b673-47b0-4450-b394-a6262a920ec1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb77b673-47b0-4450-b394-a6262a920ec1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47cb18c8-d71b-4293-bae4-164c1ce4b33d' class='xr-var-data-in' type='checkbox'><label for='data-47cb18c8-d71b-4293-bae4-164c1ce4b33d' title='Show/Hide data 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",
       "        <svg width=\"170\" height=\"110\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "  <!-- Horizontal lines -->\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-c4f89dc8-645e-4709-8ac1-ad94462dd9ec' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c4f89dc8-645e-4709-8ac1-ad94462dd9ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c849ef0-da04-43c2-8005-aecdc9da7218' class='xr-var-data-in' type='checkbox'><label for='data-7c849ef0-da04-43c2-8005-aecdc9da7218' title='Show/Hide data 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-e22ab67c-7b86-4710-a430-4fbd8b42cb59' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e22ab67c-7b86-4710-a430-4fbd8b42cb59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c460f6f6-0ec2-4846-ac74-3c751a696206' class='xr-var-data-in' type='checkbox'><label for='data-c460f6f6-0ec2-4846-ac74-3c751a696206' title='Show/Hide data 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",
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       "  <line x1=\"0\" y1=\"0\" x2=\"0\" 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, 11), meta=np.ndarray&gt;</div><input id='attrs-e5ca4d41-4ef5-47bb-84e4-493d6eef963f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5ca4d41-4ef5-47bb-84e4-493d6eef963f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-25038b55-054c-4f68-b68e-4cb6a6dd008b' class='xr-var-data-in' type='checkbox'><label for='data-25038b55-054c-4f68-b68e-4cb6a6dd008b' title='Show/Hide data 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",
       "\n",
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       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" 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, 11), meta=np.ndarray&gt;</div><input id='attrs-cadcbaa3-ec55-4321-952a-710693e8f6bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cadcbaa3-ec55-4321-952a-710693e8f6bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea8551d4-d004-4c6c-9990-d270d55a3327' class='xr-var-data-in' type='checkbox'><label for='data-ea8551d4-d004-4c6c-9990-d270d55a3327' title='Show/Hide data 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",
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       "        </td>\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-3def26fe-81f6-434c-99e3-b2a517efaac3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3def26fe-81f6-434c-99e3-b2a517efaac3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7b7c554-1fd2-4500-bceb-eddc9d2b8fd1' class='xr-var-data-in' type='checkbox'><label for='data-a7b7c554-1fd2-4500-bceb-eddc9d2b8fd1' title='Show/Hide data 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",
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       "                </tbody>\n",
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       "        </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, 11), meta=np.ndarray&gt;</div><input id='attrs-d9fd7c96-1db1-4f41-ab04-441fbdca3bd3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9fd7c96-1db1-4f41-ab04-441fbdca3bd3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a264b8b5-31c6-48b9-90b0-636c6e59ebf0' class='xr-var-data-in' type='checkbox'><label for='data-a264b8b5-31c6-48b9-90b0-636c6e59ebf0' title='Show/Hide data 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",
       "\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-be4bc926-15c6-4ff5-888f-869d9a7f65ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be4bc926-15c6-4ff5-888f-869d9a7f65ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4784845a-263d-427a-b4a3-471e59683e94' class='xr-var-data-in' type='checkbox'><label for='data-4784845a-263d-427a-b4a3-471e59683e94' title='Show/Hide data 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-e19850c5-3d47-41f7-a3ca-167229e019de' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e19850c5-3d47-41f7-a3ca-167229e019de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-917a5ca6-fd8a-446e-b75b-ea4d14974d20' class='xr-var-data-in' type='checkbox'><label for='data-917a5ca6-fd8a-446e-b75b-ea4d14974d20' title='Show/Hide data 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-68c9f1b6-bcfe-4def-9c4f-3bec29800b1b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-68c9f1b6-bcfe-4def-9c4f-3bec29800b1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8c0aba3-78bd-4633-bca9-a08c5e661180' class='xr-var-data-in' type='checkbox'><label for='data-f8c0aba3-78bd-4633-bca9-a08c5e661180' title='Show/Hide data 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-005cc17b-84a1-4fbf-8984-3ddc4492da4d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-005cc17b-84a1-4fbf-8984-3ddc4492da4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6bbf1c9-07e1-47fb-89fe-7de4651bbae6' class='xr-var-data-in' type='checkbox'><label for='data-f6bbf1c9-07e1-47fb-89fe-7de4651bbae6' title='Show/Hide data 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-ec1e0b42-cbe9-460d-a74d-550fac5bb6ed' class='xr-section-summary-in' type='checkbox'  ><label for='section-ec1e0b42-cbe9-460d-a74d-550fac5bb6ed' 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-15dbf796-c22b-4618-972f-02ba5994eac5' class='xr-index-data-in' type='checkbox'/><label for='index-15dbf796-c22b-4618-972f-02ba5994eac5' 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-e63aaa42-2d09-4861-8e4f-65bf468c538d' class='xr-index-data-in' type='checkbox'/><label for='index-e63aaa42-2d09-4861-8e4f-65bf468c538d' 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-eae5f748-b3ba-4dec-a0c4-2347f042cccf' class='xr-index-data-in' type='checkbox'/><label for='index-eae5f748-b3ba-4dec-a0c4-2347f042cccf' 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-f9039f40-97dc-4f2e-8916-78158b89a2df' class='xr-index-data-in' type='checkbox'/><label for='index-f9039f40-97dc-4f2e-8916-78158b89a2df' 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-a1cb48ce-e81a-4a7a-98a9-713045daf5c6' class='xr-index-data-in' type='checkbox'/><label for='index-a1cb48ce-e81a-4a7a-98a9-713045daf5c6' 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-6f5d9572-1804-43ac-96e1-983781bbd707' class='xr-index-data-in' type='checkbox'/><label for='index-6f5d9572-1804-43ac-96e1-983781bbd707' 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-2098b40e-4ac0-4dcc-9806-de83c66cdd85' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2098b40e-4ac0-4dcc-9806-de83c66cdd85' 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 = NoTransportModel.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": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "\n",
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       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
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       "\n",
       ".xr-dim-list:before {\n",
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       "\n",
       ".xr-dim-list:after {\n",
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       "\n",
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       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
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       "\n",
       ".xr-var-item > div,\n",
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       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
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       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
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       "\n",
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       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
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       "\n",
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       "\n",
       ".xr-var-dims {\n",
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       "\n",
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       "\n",
       ".xr-var-preview {\n",
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       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
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       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
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       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
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       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
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       "\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: 50kB\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 ... 20...\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: (12/28)\n",
       "    biomass                       (functional_group, time, latitude, longitude) float64 6kB dask.array&lt;chunksize=(1, 367, 1, 1), meta=np.ndarray&gt;\n",
       "    recruited                     (functional_group, time, latitude, longitude) float64 6kB dask.array&lt;chunksize=(1, 367, 1, 1), meta=np.ndarray&gt;\n",
       "    mortality_field               (functional_group, time, latitude, longitude) float64 6kB dask.array&lt;chunksize=(1, 367, 1, 1), meta=np.ndarray&gt;\n",
       "    mask_temperature              (functional_group, time, latitude, longitude, cohort) bool 8kB dask.array&lt;chunksize=(1, 367, 1, 1, 11), meta=np.ndarray&gt;\n",
       "    min_temperature               (functional_group, cohort) float64 176B dask.array&lt;chunksize=(1, 11), meta=np.ndarray&gt;\n",
       "    primary_production_by_fgroup  (functional_group, time, latitude, longitude) float64 6kB dask.array&lt;chunksize=(1, 367, 1, 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-8d1650eb-b674-4b9c-afdd-41e3914d7e98' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8d1650eb-b674-4b9c-afdd-41e3914d7e98' 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-a9d17ee2-4e4a-4686-92be-857da190cb7e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a9d17ee2-4e4a-4686-92be-857da190cb7e' 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-f6e86e45-5bfe-49b4-9d10-6f923a2ef07a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6e86e45-5bfe-49b4-9d10-6f923a2ef07a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4eda1a84-3465-4371-bc81-981e70a3bf80' class='xr-var-data-in' type='checkbox'><label for='data-4eda1a84-3465-4371-bc81-981e70a3bf80' title='Show/Hide data 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-a1e292b0-041d-49cc-a031-7df0d486dd13' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1e292b0-041d-49cc-a031-7df0d486dd13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6373f888-ddcd-42b0-b318-9f7d32c8b38c' class='xr-var-data-in' type='checkbox'><label for='data-6373f888-ddcd-42b0-b318-9f7d32c8b38c' title='Show/Hide data 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-9ad96841-31a2-417b-ab11-a39a8286c366' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ad96841-31a2-417b-ab11-a39a8286c366' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4680e59-d773-40ad-bc7d-4cef02f07587' class='xr-var-data-in' type='checkbox'><label for='data-c4680e59-d773-40ad-bc7d-4cef02f07587' title='Show/Hide data 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-f18d0da5-67f1-45c6-9927-d31e6584d0d4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f18d0da5-67f1-45c6-9927-d31e6584d0d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a08bb6f3-3929-4484-8783-6e07c3f24909' class='xr-var-data-in' type='checkbox'><label for='data-a08bb6f3-3929-4484-8783-6e07c3f24909' title='Show/Hide data 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-8655061e-c7ab-4465-baa6-1a0df1f430f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8655061e-c7ab-4465-baa6-1a0df1f430f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46ca5473-1621-4b49-bff3-a9a5a683f733' class='xr-var-data-in' type='checkbox'><label for='data-46ca5473-1621-4b49-bff3-a9a5a683f733' title='Show/Hide data 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-79e927ac-5d7a-4e00-8d98-5508a0f9dad5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79e927ac-5d7a-4e00-8d98-5508a0f9dad5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c09ac792-9402-4450-ba5c-6569a6a30b27' class='xr-var-data-in' type='checkbox'><label for='data-c09ac792-9402-4450-ba5c-6569a6a30b27' title='Show/Hide data 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-76b15a24-7e49-4977-8c4b-3af2a81a0c20' class='xr-section-summary-in' type='checkbox'  ><label for='section-76b15a24-7e49-4977-8c4b-3af2a81a0c20' class='xr-section-summary' >Data variables: <span>(28)</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'>dask.array&lt;chunksize=(1, 367, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-5c08cc11-ecbc-4f97-93a6-31171c9f7b9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c08cc11-ecbc-4f97-93a6-31171c9f7b9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79525bc5-877d-4930-bfdd-bab09256e21a' class='xr-var-data-in' type='checkbox'><label for='data-79525bc5-877d-4930-bfdd-bab09256e21a' title='Show/Hide data 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'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.73 kiB </td>\n",
       "                        <td> 2.87 kiB </td>\n",
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       "                        <th> Shape </th>\n",
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       "                        <td> (1, 367, 1, 1) </td>\n",
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       "                    <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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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>recruited</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'>dask.array&lt;chunksize=(1, 367, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-22f54530-dbf3-4f25-af82-59cd1a544cf8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22f54530-dbf3-4f25-af82-59cd1a544cf8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec9e3398-c168-4cc5-b828-57f01455b2fb' class='xr-var-data-in' type='checkbox'><label for='data-ec9e3398-c168-4cc5-b828-57f01455b2fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>production</dd><dt><span>long_name :</span></dt><dd>production</dd><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",
       "                    <tr>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.73 kiB </td>\n",
       "                        <td> 2.87 kiB </td>\n",
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       "                        <td> (2, 367, 1, 1) </td>\n",
       "                        <td> (1, 367, 1, 1) </td>\n",
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       "                    <tr>\n",
       "                        <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",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mortality_field</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'>dask.array&lt;chunksize=(1, 367, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-501d7da7-2705-42a6-9e02-37b13b531c63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-501d7da7-2705-42a6-9e02-37b13b531c63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04b28ccf-41e1-437c-8148-1bfb0c64654f' class='xr-var-data-in' type='checkbox'><label for='data-04b28ccf-41e1-437c-8148-1bfb0c64654f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>mortality</dd><dt><span>long_name :</span></dt><dd>mortality coefficient</dd><dt><span>description :</span></dt><dd>Mortality coefficient according to the temperature.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.73 kiB </td>\n",
       "                        <td> 2.87 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2, 367, 1, 1) </td>\n",
       "                        <td> (1, 367, 1, 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></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=(367, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-9e1e5ee1-d17e-4d49-b0d6-ca4053927e3e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e1e5ee1-d17e-4d49-b0d6-ca4053927e3e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d55666f2-3b4f-4c91-ae43-d105d8554242' class='xr-var-data-in' type='checkbox'><label for='data-d55666f2-3b4f-4c91-ae43-d105d8554242' title='Show/Hide data 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",
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       "                        <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>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-a5357960-1550-4c5c-9900-37766170dcf0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a5357960-1550-4c5c-9900-37766170dcf0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3723d4e3-a700-403c-aa42-8dfc25775085' class='xr-var-data-in' type='checkbox'><label for='data-3723d4e3-a700-403c-aa42-8dfc25775085' title='Show/Hide data 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 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-24dfba74-0d36-43dc-a9c2-65bbab91d56b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24dfba74-0d36-43dc-a9c2-65bbab91d56b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-555a75e8-8d01-49c7-bc7b-db4d6c8c0e46' class='xr-var-data-in' type='checkbox'><label for='data-555a75e8-8d01-49c7-bc7b-db4d6c8c0e46' title='Show/Hide data 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",
       "        <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",
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       "  <!-- 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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       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,60.0 0.0,60.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\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>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-5db5c326-71c7-4452-84b0-ad493113c9f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5db5c326-71c7-4452-84b0-ad493113c9f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96bbcbb8-7912-415a-8526-c10c31334b1c' class='xr-var-data-in' type='checkbox'><label for='data-96bbcbb8-7912-415a-8526-c10c31334b1c' title='Show/Hide data 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",
       "        <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",
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       "\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>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-50a4ff7b-f8d5-4b0f-9cb6-5a20e8c15945' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-50a4ff7b-f8d5-4b0f-9cb6-5a20e8c15945' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be221c80-c7cd-419e-8a51-c4513c54719c' class='xr-var-data-in' type='checkbox'><label for='data-be221c80-c7cd-419e-8a51-c4513c54719c' title='Show/Hide data 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",
       "                    </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",
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       "\n",
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       "  <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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       "        </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-0132ceba-609f-4a31-bbe0-423852488869' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0132ceba-609f-4a31-bbe0-423852488869' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b3dd80c-8174-4186-a342-564f56e39662' class='xr-var-data-in' type='checkbox'><label for='data-4b3dd80c-8174-4186-a342-564f56e39662' title='Show/Hide data 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",
       "        <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",
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       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"60\" 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>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-e2e16e12-fad1-4315-8b5a-636ad93825d2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e2e16e12-fad1-4315-8b5a-636ad93825d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-876f182d-5fe4-4dd2-a00d-9fc0c95f4835' class='xr-var-data-in' type='checkbox'><label for='data-876f182d-5fe4-4dd2-a00d-9fc0c95f4835' title='Show/Hide data 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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       "  <!-- 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>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-19537b08-a629-47dd-981d-6bc8e9d23149' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-19537b08-a629-47dd-981d-6bc8e9d23149' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7db940d1-fcc2-4705-9790-b6f1108f0928' class='xr-var-data-in' type='checkbox'><label for='data-7db940d1-fcc2-4705-9790-b6f1108f0928' title='Show/Hide data 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",
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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-1f3ada06-9d5d-409e-9f54-3e01a5dc5c0f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f3ada06-9d5d-409e-9f54-3e01a5dc5c0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ac1bcbf-185c-4099-800e-e56b29c4b063' class='xr-var-data-in' type='checkbox'><label for='data-3ac1bcbf-185c-4099-800e-e56b29c4b063' title='Show/Hide data 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",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "  <line x1=\"0\" y1=\"41\" x2=\"120\" y2=\"41\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"41\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"41\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,41.59732749150097 0.0,41.59732749150097\" style=\"fill:#ECB172A0;stroke-width:0\"/>\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, 11), meta=np.ndarray&gt;</div><input id='attrs-fc1b0116-2db1-4183-8a60-da58d690fee8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc1b0116-2db1-4183-8a60-da58d690fee8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3932a690-6f0d-43a0-b1bc-0ee4307a0141' class='xr-var-data-in' type='checkbox'><label for='data-3932a690-6f0d-43a0-b1bc-0ee4307a0141' title='Show/Hide data 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",
       "  <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n",
       "  <line x1=\"0\" y1=\"41\" x2=\"120\" y2=\"41\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"41\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"41\" style=\"stroke-width:2\" />\n",
       "\n",
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       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,41.59732749150097 0.0,41.59732749150097\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
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       "  <text x=\"60.000000\" y=\"61.597327\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >11</text>\n",
       "  <text x=\"140.000000\" y=\"20.798664\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,20.798664)\">2</text>\n",
       "</svg>\n",
       "        </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-244aa2de-8e23-4842-aaae-7984a76d7776' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-244aa2de-8e23-4842-aaae-7984a76d7776' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbb1a440-bd1c-45b2-b421-63d379fed547' class='xr-var-data-in' type='checkbox'><label for='data-dbb1a440-bd1c-45b2-b421-63d379fed547' title='Show/Hide data 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",
       "        <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",
       "  <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n",
       "  <line x1=\"0\" y1=\"41\" x2=\"120\" y2=\"41\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"41\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"41\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,41.59732749150097 0.0,41.59732749150097\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"61.597327\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >11</text>\n",
       "  <text x=\"140.000000\" y=\"20.798664\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,20.798664)\">2</text>\n",
       "</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, 11), meta=np.ndarray&gt;</div><input id='attrs-fd03055d-9d90-407e-8aa5-0dcd7a7076bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd03055d-9d90-407e-8aa5-0dcd7a7076bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d55c53a9-8ec2-45ce-abcc-54569fbda953' class='xr-var-data-in' type='checkbox'><label for='data-d55c53a9-8ec2-45ce-abcc-54569fbda953' title='Show/Hide data 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",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"20\" x2=\"120\" y2=\"20\" />\n",
       "  <line x1=\"0\" y1=\"41\" x2=\"120\" y2=\"41\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"41\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"41\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,41.59732749150097 0.0,41.59732749150097\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"61.597327\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >11</text>\n",
       "  <text x=\"140.000000\" y=\"20.798664\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,20.798664)\">2</text>\n",
       "</svg>\n",
       "        </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'>1.0</div><input id='attrs-15be5a72-f311-49da-bd80-6959f37b4c90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15be5a72-f311-49da-bd80-6959f37b4c90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7d5c9a0-6f70-47bc-80ae-e6e2556dcf07' class='xr-var-data-in' type='checkbox'><label for='data-b7d5c9a0-6f70-47bc-80ae-e6e2556dcf07' title='Show/Hide data 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-e7be07ff-3c02-4d82-bdff-9ca34b905306' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e7be07ff-3c02-4d82-bdff-9ca34b905306' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dfb3f1b3-16e4-453f-bed6-7ec464641b79' class='xr-var-data-in' type='checkbox'><label for='data-dfb3f1b3-16e4-453f-bed6-7ec464641b79' title='Show/Hide data 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-852e438c-5665-4c2c-aeb9-890633e85ada' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-852e438c-5665-4c2c-aeb9-890633e85ada' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7eb052e4-3b72-4f00-a84f-c7081a12dc55' class='xr-var-data-in' type='checkbox'><label for='data-7eb052e4-3b72-4f00-a84f-c7081a12dc55' title='Show/Hide data 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-15f68680-291b-4914-861e-e7490a613e6a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-15f68680-291b-4914-861e-e7490a613e6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be4b3467-d73e-43f0-a375-bd1fe02df0db' class='xr-var-data-in' type='checkbox'><label for='data-be4b3467-d73e-43f0-a375-bd1fe02df0db' title='Show/Hide data 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-724ea037-4fd9-431a-86cb-d7180960f960' class='xr-section-summary-in' type='checkbox'  ><label for='section-724ea037-4fd9-431a-86cb-d7180960f960' 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-eacc7813-2876-4843-b63d-a74e7474da66' class='xr-index-data-in' type='checkbox'/><label for='index-eacc7813-2876-4843-b63d-a74e7474da66' 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-6baf0832-09b2-4976-bffe-9ca6c58fd61c' class='xr-index-data-in' type='checkbox'/><label for='index-6baf0832-09b2-4976-bffe-9ca6c58fd61c' 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-c5e5a221-947b-440b-87a6-9cc77d7b52d3' class='xr-index-data-in' type='checkbox'/><label for='index-c5e5a221-947b-440b-87a6-9cc77d7b52d3' 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-c20973d5-315f-41ea-8d68-7ecd38b11baa' class='xr-index-data-in' type='checkbox'/><label for='index-c20973d5-315f-41ea-8d68-7ecd38b11baa' 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-6c02cc7a-bfd8-49b9-b3e8-e0452bd237fc' class='xr-index-data-in' type='checkbox'/><label for='index-6c02cc7a-bfd8-49b9-b3e8-e0452bd237fc' 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-1ed41ba7-1f89-416e-9aed-e0045a082ad4' class='xr-index-data-in' type='checkbox'/><label for='index-1ed41ba7-1f89-416e-9aed-e0045a082ad4' 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-acc412fc-bb31-4705-bb50-925ad4c78c8d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-acc412fc-bb31-4705-bb50-925ad4c78c8d' 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: 50kB\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 ... 20...\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: (12/28)\n",
       "    biomass                       (functional_group, time, latitude, longitude) float64 6kB dask.array<chunksize=(1, 367, 1, 1), meta=np.ndarray>\n",
       "    recruited                     (functional_group, time, latitude, longitude) float64 6kB dask.array<chunksize=(1, 367, 1, 1), meta=np.ndarray>\n",
       "    mortality_field               (functional_group, time, latitude, longitude) float64 6kB dask.array<chunksize=(1, 367, 1, 1), meta=np.ndarray>\n",
       "    mask_temperature              (functional_group, time, latitude, longitude, cohort) bool 8kB dask.array<chunksize=(1, 367, 1, 1, 11), meta=np.ndarray>\n",
       "    min_temperature               (functional_group, cohort) float64 176B dask.array<chunksize=(1, 11), meta=np.ndarray>\n",
       "    primary_production_by_fgroup  (functional_group, time, latitude, longitude) float64 6kB dask.array<chunksize=(1, 367, 1, 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": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "no_transport_model.state"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The biomass evolution over time\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
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       "\n",
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       "\n",
       ".xr-var-data > table {\n",
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       "\n",
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       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
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       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
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       "\n",
       "dl.xr-attrs {\n",
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       "  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",
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       "  height: 1.5em !important;\n",
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       "  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 0.6354 ... 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-ec1050fb-f098-44e7-a5be-e36d2f768418' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ec1050fb-f098-44e7-a5be-e36d2f768418' 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-0f47b315-8253-4648-bc6a-fbcfaa533adc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0f47b315-8253-4648-bc6a-fbcfaa533adc' 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-b517389f-3009-4767-88d0-eb57f0cdfb6d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b517389f-3009-4767-88d0-eb57f0cdfb6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46b8e51d-765c-440c-8a3f-f702ae1063e5' class='xr-var-data-in' type='checkbox'><label for='data-46b8e51d-765c-440c-8a3f-f702ae1063e5' title='Show/Hide data 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-0dcd180e-da13-4481-9ca6-f1ba00239099' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0dcd180e-da13-4481-9ca6-f1ba00239099' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45160aa2-24ee-4dbd-b090-f878f3543a05' class='xr-var-data-in' type='checkbox'><label for='data-45160aa2-24ee-4dbd-b090-f878f3543a05' title='Show/Hide data 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-61e3fc47-2e03-495b-b24d-593ecdac2a45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61e3fc47-2e03-495b-b24d-593ecdac2a45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-311c7436-22b9-4ce2-b250-ac7f04f1de98' class='xr-var-data-in' type='checkbox'><label for='data-311c7436-22b9-4ce2-b250-ac7f04f1de98' title='Show/Hide data 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-c19f9fd9-c1f7-4b2a-8faf-dda7f3bcc89f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c19f9fd9-c1f7-4b2a-8faf-dda7f3bcc89f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d54390d4-93a2-4be5-a93c-bb1a40907ec3' class='xr-var-data-in' type='checkbox'><label for='data-d54390d4-93a2-4be5-a93c-bb1a40907ec3' title='Show/Hide data 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-6f68ea69-e123-4c40-bce9-7dce88f6e443' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6f68ea69-e123-4c40-bce9-7dce88f6e443' 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-da360307-6e88-479e-b476-a5e2ea4a3892' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da360307-6e88-479e-b476-a5e2ea4a3892' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c0fe290-865b-4b3d-941a-471a1f0cabe1' class='xr-var-data-in' type='checkbox'><label for='data-9c0fe290-865b-4b3d-941a-471a1f0cabe1' title='Show/Hide data 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'>0.6354 0.519 ... 0.5239 0.1967</div><input id='attrs-482c20c9-fe0c-450d-8e5a-47bd98762539' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-482c20c9-fe0c-450d-8e5a-47bd98762539' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1f7b9a3-cd30-4667-98c8-d66910072b89' class='xr-var-data-in' type='checkbox'><label for='data-d1f7b9a3-cd30-4667-98c8-d66910072b89' title='Show/Hide data 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([[[0.63541242]],\n",
       "\n",
       "       [[0.51900423]],\n",
       "\n",
       "       [[0.60242434]],\n",
       "\n",
       "       [[0.34507644]],\n",
       "\n",
       "       [[0.57073973]],\n",
       "\n",
       "       [[0.31830055]],\n",
       "\n",
       "       [[0.44753185]],\n",
       "\n",
       "       [[0.52828377]],\n",
       "\n",
       "       [[0.38946036]],\n",
       "\n",
       "       [[0.53819221]],\n",
       "\n",
       "...\n",
       "\n",
       "       [[0.56392826]],\n",
       "\n",
       "       [[0.69588573]],\n",
       "\n",
       "       [[0.64146919]],\n",
       "\n",
       "       [[0.58629306]],\n",
       "\n",
       "       [[0.63952293]],\n",
       "\n",
       "       [[0.47883573]],\n",
       "\n",
       "       [[0.55693056]],\n",
       "\n",
       "       [[0.60475491]],\n",
       "\n",
       "       [[0.52387486]],\n",
       "\n",
       "       [[0.19670505]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-463d8e2d-7eeb-4289-84c1-feef65f0106d' class='xr-section-summary-in' type='checkbox'  ><label for='section-463d8e2d-7eeb-4289-84c1-feef65f0106d' 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-f5d0e4ce-f2c5-4f80-81ef-5e13a5d308c8' class='xr-index-data-in' type='checkbox'/><label for='index-f5d0e4ce-f2c5-4f80-81ef-5e13a5d308c8' 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-683d751b-6ad4-4e29-afce-252a60ddb313' class='xr-index-data-in' type='checkbox'/><label for='index-683d751b-6ad4-4e29-afce-252a60ddb313' 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-d416fd14-aae7-4260-aae7-144ca1eca3f9' class='xr-index-data-in' type='checkbox'/><label for='index-d416fd14-aae7-4260-aae7-144ca1eca3f9' 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-1312a9fd-52d5-4587-95ff-ca06add9a7e0' class='xr-index-data-in' type='checkbox'/><label for='index-1312a9fd-52d5-4587-95ff-ca06add9a7e0' 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></ul></div></li><li class='xr-section-item'><input id='section-f3e55f21-ed25-42d7-802a-33646546b5eb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f3e55f21-ed25-42d7-802a-33646546b5eb' 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 0.6354 ... 0..."
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weekly_dataset = dataset.resample(time=\"1W\").mean().interpolate_na()\n",
    "weekly_dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
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       "  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:                     (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&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-5e773830-a275-4766-a39a-3795967216f8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5e773830-a275-4766-a39a-3795967216f8' 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-a6c71b47-a74d-4b00-a213-3e71934ec5c1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a6c71b47-a74d-4b00-a213-3e71934ec5c1' 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-81a9158d-0147-4d28-b9c5-861d0cc1a929' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81a9158d-0147-4d28-b9c5-861d0cc1a929' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2cb3778e-58e0-45fc-97de-e8b26c4d431e' class='xr-var-data-in' type='checkbox'><label for='data-2cb3778e-58e0-45fc-97de-e8b26c4d431e' title='Show/Hide data 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-cbe15a77-6085-4d74-9c81-a718acd37f33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cbe15a77-6085-4d74-9c81-a718acd37f33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39ba9c9b-a416-42b2-b2b6-f312aed4faf4' class='xr-var-data-in' type='checkbox'><label for='data-39ba9c9b-a416-42b2-b2b6-f312aed4faf4' title='Show/Hide data 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-a8cf7775-361a-44fe-9124-d2509b0edd29' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a8cf7775-361a-44fe-9124-d2509b0edd29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85b97b3e-18fc-4e40-b17d-45cab2d9f47f' class='xr-var-data-in' type='checkbox'><label for='data-85b97b3e-18fc-4e40-b17d-45cab2d9f47f' title='Show/Hide data 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-23e66477-f466-48be-9569-a5c0819f2f78' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23e66477-f466-48be-9569-a5c0819f2f78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f73c958-6471-4c00-ad93-51ada9fa772a' class='xr-var-data-in' type='checkbox'><label for='data-3f73c958-6471-4c00-ad93-51ada9fa772a' title='Show/Hide data 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-032f9b0d-650f-452d-99ca-82619d2dd660' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-032f9b0d-650f-452d-99ca-82619d2dd660' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43a9127a-b8f3-4fea-8ce9-6120561cbce9' class='xr-var-data-in' type='checkbox'><label for='data-43a9127a-b8f3-4fea-8ce9-6120561cbce9' title='Show/Hide data 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-98f8885e-5461-41d8-b753-8a556a35fc8d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98f8885e-5461-41d8-b753-8a556a35fc8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d30ef598-de86-452c-bb1b-820110e61433' class='xr-var-data-in' type='checkbox'><label for='data-d30ef598-de86-452c-bb1b-820110e61433' title='Show/Hide data 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-0ca23d66-ba9f-4e9a-899b-3774b5ddb36a' class='xr-section-summary-in' type='checkbox'  ><label for='section-0ca23d66-ba9f-4e9a-899b-3774b5ddb36a' 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-803d85d1-13b8-4908-bbaf-19c2e8b28bbb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-803d85d1-13b8-4908-bbaf-19c2e8b28bbb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f822edc2-e174-48bc-aa1c-47a615937e69' class='xr-var-data-in' type='checkbox'><label for='data-f822edc2-e174-48bc-aa1c-47a615937e69' title='Show/Hide data 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",
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       "                    <tr>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 432 B </td>\n",
       "                        <td> 432 B </td>\n",
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       "                        <td> (54, 1, 1, 1) </td>\n",
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       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 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>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-672ed2ff-d3a6-4213-9549-8cdea8ed0045' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-672ed2ff-d3a6-4213-9549-8cdea8ed0045' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d89d81a-cc33-45f2-8c87-fa62d611bd69' class='xr-var-data-in' type='checkbox'><label for='data-3d89d81a-cc33-45f2-8c87-fa62d611bd69' title='Show/Hide data 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",
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       "                        <td> 432 B </td>\n",
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       "                        <td> (54, 1, 1) </td>\n",
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       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 1 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>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-dbc3cd6a-4a89-480d-b198-21c36f783e73' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dbc3cd6a-4a89-480d-b198-21c36f783e73' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72ec6a4b-81e1-4997-b567-0b58980d8a5f' class='xr-var-data-in' type='checkbox'><label for='data-72ec6a4b-81e1-4997-b567-0b58980d8a5f' title='Show/Hide data 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",
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       "                        <th> Bytes </th>\n",
       "                        <td> 64 B </td>\n",
       "                        <td> 32 B </td>\n",
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       "                        <th> Shape </th>\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",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> <U8 numpy.ndarray </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-226e91af-97c6-47d8-abde-2f94c62ef2af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-226e91af-97c6-47d8-abde-2f94c62ef2af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-365f5214-3dac-4daa-b237-c9b4221a9ab9' class='xr-var-data-in' type='checkbox'><label for='data-365f5214-3dac-4daa-b237-c9b4221a9ab9' title='Show/Hide data 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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       "                        <th> Bytes </th>\n",
       "                        <td> 16 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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       "</svg>\n",
       "        </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-4380164b-56d0-4f60-92bb-7a2d2522fd9f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4380164b-56d0-4f60-92bb-7a2d2522fd9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2424a6c4-9adb-4091-b1e2-4d8c152d2c98' class='xr-var-data-in' type='checkbox'><label for='data-2424a6c4-9adb-4091-b1e2-4d8c152d2c98' title='Show/Hide data 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",
       "        <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",
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       "</svg>\n",
       "        </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-b60c43fc-0c21-46be-b046-8e61ac6d59fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b60c43fc-0c21-46be-b046-8e61ac6d59fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-25c1c9cb-a6d0-4a56-b518-5a096678a7fd' class='xr-var-data-in' type='checkbox'><label for='data-25c1c9cb-a6d0-4a56-b518-5a096678a7fd' title='Show/Hide data 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",
       "        <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",
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       "\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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       "        </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-debff664-795b-4f13-bfbb-0d4fc6a5116d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-debff664-795b-4f13-bfbb-0d4fc6a5116d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d89d397-1809-4131-b4f5-284bdc0fc79e' class='xr-var-data-in' type='checkbox'><label for='data-0d89d397-1809-4131-b4f5-284bdc0fc79e' title='Show/Hide data 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",
       "                    </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",
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       "\n",
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       "  <line x1=\"0\" y1=\"0\" x2=\"0\" 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>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-76847a11-b0c1-47d0-8b54-0069d52e3404' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76847a11-b0c1-47d0-8b54-0069d52e3404' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bbeabb7d-b641-4f58-a912-82071efefdd7' class='xr-var-data-in' type='checkbox'><label for='data-bbeabb7d-b641-4f58-a912-82071efefdd7' title='Show/Hide data 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",
       "        <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",
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       "\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>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-25915bc1-9aef-4000-9d7c-4e0d39fc8476' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-25915bc1-9aef-4000-9d7c-4e0d39fc8476' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-602380ef-aece-45a6-b552-2113c2a4478f' class='xr-var-data-in' type='checkbox'><label for='data-602380ef-aece-45a6-b552-2113c2a4478f' title='Show/Hide data 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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       "  <!-- Horizontal lines -->\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-878fc216-29e2-448c-a77f-0b265c5c8012' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-878fc216-29e2-448c-a77f-0b265c5c8012' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5c56304-6403-4f6a-a8be-0cdb1ce7751a' class='xr-var-data-in' type='checkbox'><label for='data-a5c56304-6403-4f6a-a8be-0cdb1ce7751a' title='Show/Hide data 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",
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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, 2), meta=np.ndarray&gt;</div><input id='attrs-67d98390-50e4-4ff0-9656-d081e3b3ba73' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-67d98390-50e4-4ff0-9656-d081e3b3ba73' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24205bf9-cf2c-4be2-8c9b-e361ab03064b' class='xr-var-data-in' type='checkbox'><label for='data-24205bf9-cf2c-4be2-8c9b-e361ab03064b' title='Show/Hide data 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",
       "  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" />\n",
       "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >2</text>\n",
       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,60.000000)\">2</text>\n",
       "</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-99c22ef0-1199-457d-afcf-46e19ef77d02' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99c22ef0-1199-457d-afcf-46e19ef77d02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb7c4a44-9bb8-4311-8dad-7aef1b992a89' class='xr-var-data-in' type='checkbox'><label for='data-cb7c4a44-9bb8-4311-8dad-7aef1b992a89' title='Show/Hide data 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",
       "\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\" />\n",
       "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >2</text>\n",
       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,60.000000)\">2</text>\n",
       "</svg>\n",
       "        </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-a46a5d70-7c84-40aa-a10b-68efbeb6a408' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a46a5d70-7c84-40aa-a10b-68efbeb6a408' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6bdffc81-02fa-4bc7-b996-9674bef5b970' class='xr-var-data-in' type='checkbox'><label for='data-6bdffc81-02fa-4bc7-b996-9674bef5b970' title='Show/Hide data 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",
       "        <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",
       "  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" />\n",
       "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >2</text>\n",
       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,60.000000)\">2</text>\n",
       "</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-54beb352-a1ca-4bf3-87f2-8b44a7216a54' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54beb352-a1ca-4bf3-87f2-8b44a7216a54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2bbdb02-40b6-4e12-b212-d88880c79498' class='xr-var-data-in' type='checkbox'><label for='data-b2bbdb02-40b6-4e12-b212-d88880c79498' title='Show/Hide data 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> 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",
       "  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" />\n",
       "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >2</text>\n",
       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,60.000000)\">2</text>\n",
       "</svg>\n",
       "        </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-b197a2f1-4595-4610-b066-69bfac3e949d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b197a2f1-4595-4610-b066-69bfac3e949d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0b6b313-dcf2-4001-b25b-7b7dbe4a6f48' class='xr-var-data-in' type='checkbox'><label for='data-e0b6b313-dcf2-4001-b25b-7b7dbe4a6f48' title='Show/Hide data 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-64986018-93cc-4603-975b-3ce114d0f329' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-64986018-93cc-4603-975b-3ce114d0f329' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59a9f423-c6e2-4409-a1af-98af3c15efc2' class='xr-var-data-in' type='checkbox'><label for='data-59a9f423-c6e2-4409-a1af-98af3c15efc2' title='Show/Hide data 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-d638700d-b465-4883-a3f8-c3815ccf2781' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d638700d-b465-4883-a3f8-c3815ccf2781' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56aac92b-91c2-47e4-acce-f926d9c80b89' class='xr-var-data-in' type='checkbox'><label for='data-56aac92b-91c2-47e4-acce-f926d9c80b89' title='Show/Hide data 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-73fa0c1c-471b-4800-a21a-e23119178ba0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-73fa0c1c-471b-4800-a21a-e23119178ba0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-550689d2-8f10-47b5-a6f9-4b73f992bef9' class='xr-var-data-in' type='checkbox'><label for='data-550689d2-8f10-47b5-a6f9-4b73f992bef9' title='Show/Hide data 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-50f41345-d05d-41bb-9540-811726e4be37' class='xr-section-summary-in' type='checkbox'  ><label for='section-50f41345-d05d-41bb-9540-811726e4be37' 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-16cf267a-378a-4982-8b9b-25c7779bf577' class='xr-index-data-in' type='checkbox'/><label for='index-16cf267a-378a-4982-8b9b-25c7779bf577' 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-33417bae-07c9-401a-9340-0610065f515c' class='xr-index-data-in' type='checkbox'/><label for='index-33417bae-07c9-401a-9340-0610065f515c' 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-080f522b-55b1-45cd-a431-380f8a6fe105' class='xr-index-data-in' type='checkbox'/><label for='index-080f522b-55b1-45cd-a431-380f8a6fe105' 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-5a8e21c2-cf85-41b9-b14d-38715b857df3' class='xr-index-data-in' type='checkbox'/><label for='index-5a8e21c2-cf85-41b9-b14d-38715b857df3' 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-fb248e2a-3b9c-4dc8-9359-0a5be69c98e6' class='xr-index-data-in' type='checkbox'/><label for='index-fb248e2a-3b9c-4dc8-9359-0a5be69c98e6' 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-b253f51b-c4e2-47b2-b6af-7e628afbf175' class='xr-index-data-in' type='checkbox'/><label for='index-b253f51b-c4e2-47b2-b6af-7e628afbf175' 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-8a7b6954-0ffd-44fd-b7da-15b3c0380d5e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8a7b6954-0ffd-44fd-b7da-15b3c0380d5e' 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": 15,
     "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 = NoTransportModel.from_configuration(configuration=parameters)\n",
    "no_transport_model.state"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Run the model\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
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       "Dimensions:                       (functional_group: 2, time: 54, latitude: 1,\n",
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       "  * cohort                        (cohort) int64 16B 0 1\n",
       "  * layer                         (layer) int64 8B 0\n",
       "Data variables: (12/28)\n",
       "    biomass                       (functional_group, time, latitude, longitude) float64 864B dask.array&lt;chunksize=(1, 54, 1, 1), meta=np.ndarray&gt;\n",
       "    recruited                     (functional_group, time, latitude, longitude) float64 864B dask.array&lt;chunksize=(1, 54, 1, 1), meta=np.ndarray&gt;\n",
       "    mortality_field               (functional_group, time, latitude, longitude) float64 864B dask.array&lt;chunksize=(1, 54, 1, 1), meta=np.ndarray&gt;\n",
       "    mask_temperature              (functional_group, time, latitude, longitude, cohort) bool 216B dask.array&lt;chunksize=(1, 54, 1, 1, 2), meta=np.ndarray&gt;\n",
       "    min_temperature               (functional_group, cohort) float64 32B dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;\n",
       "    primary_production_by_fgroup  (functional_group, time, latitude, longitude) float64 864B dask.array&lt;chunksize=(1, 54, 1, 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-e4242bd7-c0e8-4d7f-a6ae-7fefb99bdeaa' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e4242bd7-c0e8-4d7f-a6ae-7fefb99bdeaa' 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-f1011933-e0a8-40d0-b3bb-32a2636078b1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f1011933-e0a8-40d0-b3bb-32a2636078b1' 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-02e20a3b-b482-47ae-9a48-e6137801c621' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02e20a3b-b482-47ae-9a48-e6137801c621' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd4cba6c-0f29-4ba0-a0ae-b40bcd76c942' class='xr-var-data-in' type='checkbox'><label for='data-fd4cba6c-0f29-4ba0-a0ae-b40bcd76c942' title='Show/Hide data 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-74b10094-373f-4dc6-849e-76d8e7f148df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74b10094-373f-4dc6-849e-76d8e7f148df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69f4a1f9-6eb4-4cd4-a1f7-5fb55df07e84' class='xr-var-data-in' type='checkbox'><label for='data-69f4a1f9-6eb4-4cd4-a1f7-5fb55df07e84' title='Show/Hide data 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-8ac6ff05-bc07-4898-be8e-62810d0151aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ac6ff05-bc07-4898-be8e-62810d0151aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a58db124-fa50-40d9-a63d-84df33af9403' class='xr-var-data-in' type='checkbox'><label for='data-a58db124-fa50-40d9-a63d-84df33af9403' title='Show/Hide data 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-5bf70c34-ffb3-4b26-91df-5da029baeac6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5bf70c34-ffb3-4b26-91df-5da029baeac6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e853f15-50c6-410b-8fa5-58d4eb5b5b2b' class='xr-var-data-in' type='checkbox'><label for='data-9e853f15-50c6-410b-8fa5-58d4eb5b5b2b' title='Show/Hide data 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-4b81964d-bf7a-4fce-8864-639d7c3d6686' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b81964d-bf7a-4fce-8864-639d7c3d6686' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed7a989a-8da0-4de3-8394-31bc47dd4391' class='xr-var-data-in' type='checkbox'><label for='data-ed7a989a-8da0-4de3-8394-31bc47dd4391' title='Show/Hide data 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-0824b1e2-c710-415e-a40c-987e44290c31' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0824b1e2-c710-415e-a40c-987e44290c31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a31075ae-13d2-40f6-a01e-6ec702e3c634' class='xr-var-data-in' type='checkbox'><label for='data-a31075ae-13d2-40f6-a01e-6ec702e3c634' title='Show/Hide data 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-f01e36c8-fbe4-4fe9-90cc-793809d78460' class='xr-section-summary-in' type='checkbox'  ><label for='section-f01e36c8-fbe4-4fe9-90cc-793809d78460' class='xr-section-summary' >Data variables: <span>(28)</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'>dask.array&lt;chunksize=(1, 54, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-f7c81f12-1553-489e-af4d-b0a31a3acecd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7c81f12-1553-489e-af4d-b0a31a3acecd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a622948-df12-4169-b26b-9f809b425316' class='xr-var-data-in' type='checkbox'><label for='data-4a622948-df12-4169-b26b-9f809b425316' title='Show/Hide data 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'><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> 864 B </td>\n",
       "                        <td> 432 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2, 54, 1, 1) </td>\n",
       "                        <td> (1, 54, 1, 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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       "                </tbody>\n",
       "            </table>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask_fgroup</span></div><div class='xr-var-dims'>(functional_group, latitude, longitude)</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-c3770197-763e-4c8a-abc4-9a52fb8969bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3770197-763e-4c8a-abc4-9a52fb8969bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1b7ae8d-dc5f-4f82-b04c-ba680657177d' class='xr-var-data-in' type='checkbox'><label for='data-b1b7ae8d-dc5f-4f82-b04c-ba680657177d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>mask</dd><dt><span>long_name :</span></dt><dd>mask</dd><dt><span>flag_values :</span></dt><dd>[0, 1]</dd><dt><span>flag_meanings :</span></dt><dd>0:land, 1:ocean</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2 B </td>\n",
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       "                        <th> Shape </th>\n",
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       "                        <td> (1, 1, 1) </td>\n",
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       "                    <tr>\n",
       "                        <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\"> bool 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>mask</span></div><div class='xr-var-dims'>(latitude, longitude, layer)</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-66bc8881-6814-449b-a463-b437d3735079' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66bc8881-6814-449b-a463-b437d3735079' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af868492-37c9-4807-a59d-f3159283dba0' class='xr-var-data-in' type='checkbox'><label for='data-af868492-37c9-4807-a59d-f3159283dba0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>mask</dd><dt><span>long_name :</span></dt><dd>mask</dd><dt><span>flag_values :</span></dt><dd>[0, 1]</dd><dt><span>flag_meanings :</span></dt><dd>0:land, 1:ocean</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <td> 1 B </td>\n",
       "                        <td> 1 B </td>\n",
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       "                        <th> Shape </th>\n",
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       "                        <td> (1, 1, 1) </td>\n",
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       "                        <th> Dask graph </th>\n",
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       "                        <td colspan=\"2\"> bool numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><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-02c4a067-8576-4739-85ea-26589e1bdb77' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02c4a067-8576-4739-85ea-26589e1bdb77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0f72325-8275-40c4-8e66-d02523fe6f5f' class='xr-var-data-in' type='checkbox'><label for='data-a0f72325-8275-40c4-8e66-d02523fe6f5f' title='Show/Hide data 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",
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       "        <td>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 432 B </td>\n",
       "                        <td> 432 B </td>\n",
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       "                        <td> (54, 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",
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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>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-576bc79b-7950-4f81-937e-d46eddc54afb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-576bc79b-7950-4f81-937e-d46eddc54afb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5739a598-dae9-4155-b73d-2babe13ea61f' class='xr-var-data-in' type='checkbox'><label for='data-5739a598-dae9-4155-b73d-2babe13ea61f' title='Show/Hide data 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",
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       "        <td>\n",
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       "                        <td> 432 B </td>\n",
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       "                        <td> (54, 1, 1) </td>\n",
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       "    </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-c520e40f-d2d4-4f95-b833-74078d3f483f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c520e40f-d2d4-4f95-b833-74078d3f483f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bff3f0d-90fe-416c-bc68-d8e3f931836f' class='xr-var-data-in' type='checkbox'><label for='data-8bff3f0d-90fe-416c-bc68-d8e3f931836f' title='Show/Hide data 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",
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       "                    <tr>\n",
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       "                        <td> (1,) </td>\n",
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       "                    <tr>\n",
       "                        <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\"> <U8 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>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-df2053ca-85f2-4bc0-a86c-25010f349ce5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df2053ca-85f2-4bc0-a86c-25010f349ce5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d457acdd-86fb-43cc-8a62-a085e4dbef0c' class='xr-var-data-in' type='checkbox'><label for='data-d457acdd-86fb-43cc-8a62-a085e4dbef0c' title='Show/Hide data 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",
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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>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-a9780068-25d0-477b-bca3-36fb0035f071' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9780068-25d0-477b-bca3-36fb0035f071' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3eb5aa9-06aa-49cc-9165-8ab3c72b0e59' class='xr-var-data-in' type='checkbox'><label for='data-f3eb5aa9-06aa-49cc-9165-8ab3c72b0e59' title='Show/Hide data 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",
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       "            </table>\n",
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       "        <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-f91641a1-d2f3-4e9b-b781-9490b6347048' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f91641a1-d2f3-4e9b-b781-9490b6347048' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-266317fc-92df-43a2-a08a-785c7bc1f020' class='xr-var-data-in' type='checkbox'><label for='data-266317fc-92df-43a2-a08a-785c7bc1f020' title='Show/Hide data 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",
       "        <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>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-e6c563c7-1f22-4bd0-bbb4-b4edd9c6e454' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6c563c7-1f22-4bd0-bbb4-b4edd9c6e454' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0700975d-4234-4514-963a-2d2b27bc9a9d' class='xr-var-data-in' type='checkbox'><label for='data-0700975d-4234-4514-963a-2d2b27bc9a9d' title='Show/Hide data 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-84cf9d26-82f7-4e4f-956c-6e4dcf2cb70e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84cf9d26-82f7-4e4f-956c-6e4dcf2cb70e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f024104-4003-47a2-ba62-0ddf75a282e4' class='xr-var-data-in' type='checkbox'><label for='data-8f024104-4003-47a2-ba62-0ddf75a282e4' title='Show/Hide data 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-4cae2504-2e24-40e9-9437-e80a8d6a6c7f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4cae2504-2e24-40e9-9437-e80a8d6a6c7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a431f9f-0f0a-4b70-8061-c825beb7055b' class='xr-var-data-in' type='checkbox'><label for='data-3a431f9f-0f0a-4b70-8061-c825beb7055b' title='Show/Hide data 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-e66fb400-3557-4e98-a29f-978b78756b6d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e66fb400-3557-4e98-a29f-978b78756b6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86854554-022e-4ec8-949d-650bca499400' class='xr-var-data-in' type='checkbox'><label for='data-86854554-022e-4ec8-949d-650bca499400' title='Show/Hide data 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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       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "  <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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       "        </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-1deef618-0b3f-471a-afaa-b11b41be0df5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1deef618-0b3f-471a-afaa-b11b41be0df5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54fd70a6-e09a-4f7a-a8fc-6b8860903d8e' class='xr-var-data-in' type='checkbox'><label for='data-54fd70a6-e09a-4f7a-a8fc-6b8860903d8e' title='Show/Hide data 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",
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       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
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       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\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, 2), meta=np.ndarray&gt;</div><input id='attrs-51ebd484-6320-4681-ab8f-5d2538b43b2d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51ebd484-6320-4681-ab8f-5d2538b43b2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1c4fc11-50a1-4fa6-988c-8ec5488d9ae3' class='xr-var-data-in' type='checkbox'><label for='data-d1c4fc11-50a1-4fa6-988c-8ec5488d9ae3' title='Show/Hide data 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",
       "\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",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
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       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\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>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-7a03702f-f2f6-45d0-9c17-ef27fdd5a62c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a03702f-f2f6-45d0-9c17-ef27fdd5a62c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c91a460-a530-4b16-bf65-cf77a671656f' class='xr-var-data-in' type='checkbox'><label for='data-6c91a460-a530-4b16-bf65-cf77a671656f' title='Show/Hide data 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",
       "        <svg width=\"170\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "  <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>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-c114ec87-6ad7-42a1-9664-fbe0d517b7f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c114ec87-6ad7-42a1-9664-fbe0d517b7f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa74290f-a83a-422d-9449-2c57c0f446c8' class='xr-var-data-in' type='checkbox'><label for='data-aa74290f-a83a-422d-9449-2c57c0f446c8' title='Show/Hide data 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> 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",
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       "  <line x1=\"0\" y1=\"60\" x2=\"120\" y2=\"60\" />\n",
       "  <line x1=\"0\" y1=\"120\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,120.0 0.0,120.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >2</text>\n",
       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,60.000000)\">2</text>\n",
       "</svg>\n",
       "        </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-6656a5b7-1712-4b4f-bf1e-7aef52801c69' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6656a5b7-1712-4b4f-bf1e-7aef52801c69' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f878d42-0284-401d-b7e2-3b80277a9c16' class='xr-var-data-in' type='checkbox'><label for='data-2f878d42-0284-401d-b7e2-3b80277a9c16' title='Show/Hide data 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-5e9888f5-6d82-477d-ba26-8bf8bf9253d1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5e9888f5-6d82-477d-ba26-8bf8bf9253d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1f34699-3d09-4c2b-bc82-3b4e703a5485' class='xr-var-data-in' type='checkbox'><label for='data-c1f34699-3d09-4c2b-bc82-3b4e703a5485' title='Show/Hide data 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-c49d944b-068a-4dea-92e2-4608e465898c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c49d944b-068a-4dea-92e2-4608e465898c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8ffa8f7-29cd-4718-b049-ed118a11b165' class='xr-var-data-in' type='checkbox'><label for='data-b8ffa8f7-29cd-4718-b049-ed118a11b165' title='Show/Hide data 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-cae9ff09-e870-41b0-b2f2-181dc38122e8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cae9ff09-e870-41b0-b2f2-181dc38122e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d04cdbee-50a7-4b75-976a-c8079a5a3bf4' class='xr-var-data-in' type='checkbox'><label for='data-d04cdbee-50a7-4b75-976a-c8079a5a3bf4' title='Show/Hide data 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-98bc4af5-9c30-4072-8e38-bdbe3a8355d8' class='xr-section-summary-in' type='checkbox'  ><label for='section-98bc4af5-9c30-4072-8e38-bdbe3a8355d8' 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-b6059035-58da-4664-b4cd-ac8631bf7e41' class='xr-index-data-in' type='checkbox'/><label for='index-b6059035-58da-4664-b4cd-ac8631bf7e41' 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-9b0cb9ee-84e8-4a68-8ed8-363afa83a939' class='xr-index-data-in' type='checkbox'/><label for='index-9b0cb9ee-84e8-4a68-8ed8-363afa83a939' 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-f470bae5-5774-47ba-a310-79fe8a2e1cd8' class='xr-index-data-in' type='checkbox'/><label for='index-f470bae5-5774-47ba-a310-79fe8a2e1cd8' 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-194fcef2-5a1f-4aeb-a4d5-3be468a97d29' class='xr-index-data-in' type='checkbox'/><label for='index-194fcef2-5a1f-4aeb-a4d5-3be468a97d29' 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-ae77e91c-33c8-4dcb-b108-0e1665dbeb38' class='xr-index-data-in' type='checkbox'/><label for='index-ae77e91c-33c8-4dcb-b108-0e1665dbeb38' 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-7ca3cc26-f6b9-4e49-8f1a-e3ddbcdfdd30' class='xr-index-data-in' type='checkbox'/><label for='index-7ca3cc26-f6b9-4e49-8f1a-e3ddbcdfdd30' 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-112ae528-4b18-4d98-b37e-b6e8c704c73a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-112ae528-4b18-4d98-b37e-b6e8c704c73a' 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: 7kB\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 ... 2...\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: (12/28)\n",
       "    biomass                       (functional_group, time, latitude, longitude) float64 864B dask.array<chunksize=(1, 54, 1, 1), meta=np.ndarray>\n",
       "    recruited                     (functional_group, time, latitude, longitude) float64 864B dask.array<chunksize=(1, 54, 1, 1), meta=np.ndarray>\n",
       "    mortality_field               (functional_group, time, latitude, longitude) float64 864B dask.array<chunksize=(1, 54, 1, 1), meta=np.ndarray>\n",
       "    mask_temperature              (functional_group, time, latitude, longitude, cohort) bool 216B dask.array<chunksize=(1, 54, 1, 1, 2), meta=np.ndarray>\n",
       "    min_temperature               (functional_group, cohort) float64 32B dask.array<chunksize=(1, 2), meta=np.ndarray>\n",
       "    primary_production_by_fgroup  (functional_group, time, latitude, longitude) float64 864B dask.array<chunksize=(1, 54, 1, 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": 16,
     "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": 17,
   "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
}