create_biomet_ec_fpr_dataset_all_time_points.ipynb

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    "# Create one common dataset for footprint, EC, biomet and continuous soil T data\n",
    "\n",
    "This notebook was created because there were missing data on T<sub>air</sub> between 13/9-16/9 2022\n",
    "\n",
    "02/2024"
   ]
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  {
   "cell_type": "code",
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    "import pandas as pd\n",
    "from dotenv import load_dotenv; load_dotenv()\n",
    "from datetime import datetime, timedelta\n",
    "import os\n",
    "\n",
    "import geopandas as gpd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import matplotlib as mpl\n",
    "import xarray as xr\n",
    "\n",
    "from utils import load_Ran_ec_data, load_Ran_biomet_data\n",
    "\n",
    "sns.set_context('notebook', font_scale=1.5)\n",
    "\n",
    "%matplotlib widget\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
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   "source": [
    "## Load EC and biomet flux array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "SOILCLASSIFICATION_DATA = os.getenv('SOILCLASSIFICATION_DATA')\n",
    "ONEDRIVE_FOLDER = os.getenv('ONEDRIVE_FOLDER')"
   ]
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   "cell_type": "code",
   "execution_count": 3,
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   "outputs": [
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     "name": "stderr",
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     "text": [
      "/Users/opa/Ranskalankorpi_CC_EC/utils.py:49: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n",
      "  dataframes.append(pd.read_csv(path(years[0]), skiprows=[1], index_col=0, date_parser=lambda x: pd.to_datetime(x)))\n",
      "/Users/opa/Ranskalankorpi_CC_EC/utils.py:52: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n",
      "  dataframes.append(pd.read_csv(path(year), skiprows=[1], index_col=0, date_parser=lambda x: pd.to_datetime(x)))\n"
     ]
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   ],
   "source": [
    "biomet = load_Ran_biomet_data(ONEDRIVE_FOLDER, [2021, 2022])"
   ]
  },
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   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "ec = load_Ran_ec_data(ONEDRIVE_FOLDER, [2021, 2022])\n",
    "tt = ec.time.values\n",
    "# remove dim_0 and set previous time values to time coordinates\n",
    "ec = ec.drop_dims('dim_0').assign_coords(time=tt)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Set all non-zero N<sub>2</sub>O fluxes to nan and all CH<sub>4</sub> fluxes smaller than -10 nmol/m2/s to nan\n",
    "\n",
    "added 7.6.2024"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ec.ch4_flux_final.where()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "gg = ec.ch4_flux_final.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;ch4_flux_final&#x27; (time: 18835)&gt;\n",
       "array([False, False, False, ..., False, False, False])\n",
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       "  * time     (time) datetime64[ns] 2021-11-24T13:30:00 ... 2022-12-31T23:30:0...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'ch4_flux_final'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 18835</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-bc7ea45a-7aaa-4f4c-80bd-d3c836032505' class='xr-array-in' type='checkbox' checked><label for='section-bc7ea45a-7aaa-4f4c-80bd-d3c836032505' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>False False False False False False ... False False False False False</span></div><div class='xr-array-data'><pre>array([False, False, False, ..., False, False, False])</pre></div></div></li><li class='xr-section-item'><input id='section-2dad77ad-f868-43c5-a828-7f89159ee935' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2dad77ad-f868-43c5-a828-7f89159ee935' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-11-24T13:30:00 ... 2022-12-...</div><input id='attrs-f2a908cd-df4e-44f0-9560-1502b54fcf37' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f2a908cd-df4e-44f0-9560-1502b54fcf37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06050077-8bf8-44e7-bbbb-8cda528c8115' class='xr-var-data-in' type='checkbox'><label for='data-06050077-8bf8-44e7-bbbb-8cda528c8115' title='Show/Hide data 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;2021-11-24T13:30:00.000000000&#x27;, &#x27;2021-11-24T13:59:59.999999893&#x27;,\n",
       "       &#x27;2021-11-24T14:30:00.000000106&#x27;, ..., &#x27;2022-12-31T22:30:00.000000000&#x27;,\n",
       "       &#x27;2022-12-31T22:59:59.999999893&#x27;, &#x27;2022-12-31T23:30:00.000000106&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-61e90e9f-2d97-44ae-9226-2f68402f59c9' class='xr-section-summary-in' type='checkbox'  ><label for='section-61e90e9f-2d97-44ae-9226-2f68402f59c9' class='xr-section-summary' >Indexes: <span>(1)</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><div></div><input id='index-d4e49f38-3dc6-4f10-ae0d-a764077d3585' class='xr-index-data-in' type='checkbox'/><label for='index-d4e49f38-3dc6-4f10-ae0d-a764077d3585' 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;2021-11-24 13:30:00&#x27;,\n",
       "               &#x27;2021-11-24 13:59:59.999999893&#x27;,\n",
       "               &#x27;2021-11-24 14:30:00.000000106&#x27;,\n",
       "                         &#x27;2021-11-24 15:00:00&#x27;,\n",
       "               &#x27;2021-11-24 15:29:59.999999893&#x27;,\n",
       "               &#x27;2021-11-24 16:00:00.000000106&#x27;,\n",
       "                         &#x27;2021-11-24 16:30:00&#x27;,\n",
       "               &#x27;2021-11-24 16:59:59.999999893&#x27;,\n",
       "               &#x27;2021-11-24 17:30:00.000000106&#x27;,\n",
       "                         &#x27;2021-11-24 18:00:00&#x27;,\n",
       "               ...\n",
       "               &#x27;2022-12-31 19:00:00.000000106&#x27;,\n",
       "                         &#x27;2022-12-31 19:30:00&#x27;,\n",
       "               &#x27;2022-12-31 19:59:59.999999893&#x27;,\n",
       "               &#x27;2022-12-31 20:30:00.000000106&#x27;,\n",
       "                         &#x27;2022-12-31 21:00:00&#x27;,\n",
       "               &#x27;2022-12-31 21:29:59.999999893&#x27;,\n",
       "               &#x27;2022-12-31 22:00:00.000000106&#x27;,\n",
       "                         &#x27;2022-12-31 22:30:00&#x27;,\n",
       "               &#x27;2022-12-31 22:59:59.999999893&#x27;,\n",
       "               &#x27;2022-12-31 23:30:00.000000106&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=18835, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c4adccaf-43c6-46a3-bbef-1808b725d774' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c4adccaf-43c6-46a3-bbef-1808b725d774' 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>"
      ],
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       "<xarray.DataArray 'ch4_flux_final' (time: 18835)>\n",
       "array([False, False, False, ..., False, False, False])\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2021-11-24T13:30:00 ... 2022-12-31T23:30:0..."
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gg < -10/1000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "ec.ch4_flux_final[ec.ch4_flux_final < -10/1000] = np.nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "ec.n2o_flux_final[ec.n2o_flux_final < 0] = np.nan"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create one consistent time vector"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "time_all = pd.date_range(datetime(2021,11,24,0,0,0), datetime(2022,12,31, 23, 30, 0), freq='30min')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2021-11-24 00:00:00', '2021-11-24 00:30:00',\n",
       "               '2021-11-24 01:00:00', '2021-11-24 01:30:00',\n",
       "               '2021-11-24 02:00:00', '2021-11-24 02:30:00',\n",
       "               '2021-11-24 03:00:00', '2021-11-24 03:30:00',\n",
       "               '2021-11-24 04:00:00', '2021-11-24 04:30:00',\n",
       "               ...\n",
       "               '2022-12-31 19:00:00', '2022-12-31 19:30:00',\n",
       "               '2022-12-31 20:00:00', '2022-12-31 20:30:00',\n",
       "               '2022-12-31 21:00:00', '2022-12-31 21:30:00',\n",
       "               '2022-12-31 22:00:00', '2022-12-31 22:30:00',\n",
       "               '2022-12-31 23:00:00', '2022-12-31 23:30:00'],\n",
       "              dtype='datetime64[ns]', length=19344, freq='30T')"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time_all"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get common indeces with EC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "ec_time = ec.time.to_dataframe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "ind_ec_in_all = time_all.get_indexer(ec_time.index, method='nearest')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_all = pd.DataFrame(index=time_all)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
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    "df_all"
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  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "xr_all = xr.Dataset(coords=dict(\n",
    "    time=time_all\n",
    "))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "for key in ec.keys():\n",
    "    temp_var = np.zeros((df_all.shape[0],))*np.nan\n",
    "    temp_var[ind_ec_in_all] = ec[key].values\n",
    "    xr_all[key] = (\"time\", temp_var)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Set all non-zero N<sub>2</sub>O fluxes to nan and all CH<sub>4</sub> fluxes smaller than -10 nmol/m2/s to nan\n",
    "\n",
    "added 7.6.2024"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get common indeces with biomet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "biomet_time = biomet.time.to_dataframe()"
   ]
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  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "ind_biomet_in_all = time_all.get_indexer(biomet.time, method='nearest')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "for key in biomet.keys():\n",
    "    temp_var = np.zeros((df_all.shape[0],))*np.nan\n",
    "    temp_var[ind_biomet_in_all] = biomet[key].values\n",
    "    xr_all[key] = (\"time\", temp_var)"
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load fpr contribution array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "fpr_cont = xr.open_dataset('data/footprint/footprint_soilclass_contribution_2022.nc')"
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  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
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       "  padding-bottom: 4px;\n",
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       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
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       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
       ".xr-preview {\n",
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       "\n",
       ".xr-array-preview,\n",
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       "  padding: 0 5px !important;\n",
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       "\n",
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       "\n",
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       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\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",
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       "\n",
       ".xr-var-data > table {\n",
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       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
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       "\n",
       ".xr-attrs,\n",
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       "\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",
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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",
       "}\n",
       "\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;\n",
       "Dimensions:           (soil_class: 10, time: 17055)\n",
       "Coordinates:\n",
       "  * soil_class        (soil_class) &lt;U16 &#x27;Fallen tree&#x27; ... &#x27;Instruments&#x27;\n",
       "  * time              (time) datetime64[ns] 2022-01-01 ... 2022-12-31T23:30:00\n",
       "Data variables:\n",
       "    fpr_contribution  (soil_class, time) float64 ...\n",
       "Attributes:\n",
       "    description:  soil class contribution to footprint</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-177fbff6-73f4-4b41-8531-a005f0d0e37c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-177fbff6-73f4-4b41-8531-a005f0d0e37c' 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'>soil_class</span>: 10</li><li><span class='xr-has-index'>time</span>: 17055</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-12283ce9-794e-4db7-8a22-78da7e6f19bf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-12283ce9-794e-4db7-8a22-78da7e6f19bf' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>soil_class</span></div><div class='xr-var-dims'>(soil_class)</div><div class='xr-var-dtype'>&lt;U16</div><div class='xr-var-preview xr-preview'>&#x27;Fallen tree&#x27; ... &#x27;Instruments&#x27;</div><input id='attrs-1ea15aab-98a6-4ec2-b251-da6550015e19' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1ea15aab-98a6-4ec2-b251-da6550015e19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7de7c566-0b15-432a-834c-beaa381b2ed7' class='xr-var-data-in' type='checkbox'><label for='data-7de7c566-0b15-432a-834c-beaa381b2ed7' title='Show/Hide data 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;Fallen tree&#x27;, &#x27;Dry branch&#x27;, &#x27;Exposed peat&#x27;, &#x27;Light moss&#x27;, &#x27;Dark moss&#x27;,\n",
       "       &#x27;Green vegetation&#x27;, &#x27;Ditch&#x27;, &#x27;Tree&#x27;, &#x27;Covered ditch&#x27;, &#x27;Instruments&#x27;],\n",
       "      dtype=&#x27;&lt;U16&#x27;)</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'>2022-01-01 ... 2022-12-31T23:30:00</div><input id='attrs-5f1454cf-2967-41fd-9294-115845c737ec' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5f1454cf-2967-41fd-9294-115845c737ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ccc18daa-18ab-4fa7-a25b-65fbbe9fd15e' class='xr-var-data-in' type='checkbox'><label for='data-ccc18daa-18ab-4fa7-a25b-65fbbe9fd15e' title='Show/Hide data 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;2022-01-01T00:00:00.000000000&#x27;, &#x27;2022-01-01T00:30:00.000000000&#x27;,\n",
       "       &#x27;2022-01-01T01:00:00.000000000&#x27;, ..., &#x27;2022-12-31T22:30:00.000000000&#x27;,\n",
       "       &#x27;2022-12-31T23:00:00.000000000&#x27;, &#x27;2022-12-31T23:30:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2deb5f08-fd22-4c4b-8379-3312d57acc22' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2deb5f08-fd22-4c4b-8379-3312d57acc22' class='xr-section-summary' >Data variables: <span>(1)</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>fpr_contribution</span></div><div class='xr-var-dims'>(soil_class, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b1c70c9d-5f7a-4ed2-ad3e-a372287b86a2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b1c70c9d-5f7a-4ed2-ad3e-a372287b86a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5266617c-629f-41e4-b97c-4439f7c30c48' class='xr-var-data-in' type='checkbox'><label for='data-5266617c-629f-41e4-b97c-4439f7c30c48' title='Show/Hide data 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>[170550 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6720147b-517e-4443-ad3a-b3a288f99fd2' class='xr-section-summary-in' type='checkbox'  ><label for='section-6720147b-517e-4443-ad3a-b3a288f99fd2' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>soil_class</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8ee38896-5e7b-47cc-9f7c-77aa1884158a' class='xr-index-data-in' type='checkbox'/><label for='index-8ee38896-5e7b-47cc-9f7c-77aa1884158a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;Fallen tree&#x27;, &#x27;Dry branch&#x27;, &#x27;Exposed peat&#x27;, &#x27;Light moss&#x27;, &#x27;Dark moss&#x27;,\n",
       "       &#x27;Green vegetation&#x27;, &#x27;Ditch&#x27;, &#x27;Tree&#x27;, &#x27;Covered ditch&#x27;, &#x27;Instruments&#x27;],\n",
       "      dtype=&#x27;object&#x27;, name=&#x27;soil_class&#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><div></div><input id='index-2e92a711-131a-466d-b968-8676a40a79ab' class='xr-index-data-in' type='checkbox'/><label for='index-2e92a711-131a-466d-b968-8676a40a79ab' 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;2022-01-01 00:00:00&#x27;, &#x27;2022-01-01 00:30:00&#x27;,\n",
       "               &#x27;2022-01-01 01:00:00&#x27;, &#x27;2022-01-01 01:30:00&#x27;,\n",
       "               &#x27;2022-01-01 02:00:00&#x27;, &#x27;2022-01-01 02:30:00&#x27;,\n",
       "               &#x27;2022-01-01 03:00:00&#x27;, &#x27;2022-01-01 03:30:00&#x27;,\n",
       "               &#x27;2022-01-01 04:00:00&#x27;, &#x27;2022-01-01 04:30:00&#x27;,\n",
       "               ...\n",
       "               &#x27;2022-12-31 19:00:00&#x27;, &#x27;2022-12-31 19:30:00&#x27;,\n",
       "               &#x27;2022-12-31 20:00:00&#x27;, &#x27;2022-12-31 20:30:00&#x27;,\n",
       "               &#x27;2022-12-31 21:00:00&#x27;, &#x27;2022-12-31 21:30:00&#x27;,\n",
       "               &#x27;2022-12-31 22:00:00&#x27;, &#x27;2022-12-31 22:30:00&#x27;,\n",
       "               &#x27;2022-12-31 23:00:00&#x27;, &#x27;2022-12-31 23:30:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=17055, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0d190bb7-7828-4e44-9a97-62ddde247090' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0d190bb7-7828-4e44-9a97-62ddde247090' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>description :</span></dt><dd>soil class contribution to footprint</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:           (soil_class: 10, time: 17055)\n",
       "Coordinates:\n",
       "  * soil_class        (soil_class) <U16 'Fallen tree' ... 'Instruments'\n",
       "  * time              (time) datetime64[ns] 2022-01-01 ... 2022-12-31T23:30:00\n",
       "Data variables:\n",
       "    fpr_contribution  (soil_class, time) float64 ...\n",
       "Attributes:\n",
       "    description:  soil class contribution to footprint"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fpr_cont"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### assign new coordinate to xr_all \"soil_class\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "xr_all = xr_all.assign_coords(soil_class=fpr_cont.soil_class)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "ind_fpr_in_all = time_all.get_indexer(fpr_cont.time, method='nearest')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "for key in fpr_cont.keys():\n",
    "    temp_var = np.zeros((xr_all.soil_class.shape[0], df_all.shape[0]))*np.nan\n",
    "    temp_var[:, ind_fpr_in_all] = fpr_cont[key].values\n",
    "    xr_all[key] = ([\"soil_class\", \"time\"], temp_var)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
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       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:            (time: 19344, soil_class: 10)\n",
       "Coordinates:\n",
       "  * time               (time) datetime64[ns] 2021-11-24 ... 2022-12-31T23:30:00\n",
       "  * soil_class         (soil_class) &lt;U16 &#x27;Fallen tree&#x27; ... &#x27;Instruments&#x27;\n",
       "Data variables: (12/83)\n",
       "    H                  (time) float64 nan nan nan nan ... -32.69 -30.69 -31.54\n",
       "    H_qf               (time) float64 nan nan nan nan ... -32.69 -30.69 -31.54\n",
       "    H_final            (time) float64 nan nan nan nan ... -32.69 -30.69 -31.54\n",
       "    rand_err_H         (time) float64 nan nan nan nan ... 4.997 6.068 6.291\n",
       "    LE                 (time) float64 nan nan nan nan ... -22.21 -12.28 -14.01\n",
       "    LE_qf              (time) float64 nan nan nan nan ... nan -12.28 -14.01\n",
       "    ...                 ...\n",
       "    TS_1_1_1           (time) float64 nan nan nan nan nan ... 1.6 1.6 1.6 1.6\n",
       "    TS_2_1_1           (time) float64 nan nan nan nan ... 2.677 2.673 2.687\n",
       "    TS_3_1_1           (time) float64 nan nan nan nan ... 3.413 3.403 3.4 3.4\n",
       "    WTD_1_1_1          (time) float64 nan nan nan nan ... 1.55 1.55 1.55 1.55\n",
       "    PA_1_1_1           (time) float64 nan nan nan nan ... 97.18 97.22 97.23\n",
       "    fpr_contribution   (soil_class, time) float64 nan nan ... 4.689e-09</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-edc1cd5d-0115-44f8-af11-57abc50b90c4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-edc1cd5d-0115-44f8-af11-57abc50b90c4' 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>: 19344</li><li><span class='xr-has-index'>soil_class</span>: 10</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6a861c05-1bbf-4d58-af5c-a6daba0df253' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6a861c05-1bbf-4d58-af5c-a6daba0df253' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2021-11-24 ... 2022-12-31T23:30:00</div><input id='attrs-b6fcf863-d4e4-416f-83bb-b91359510e5f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b6fcf863-d4e4-416f-83bb-b91359510e5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ab4d15f-4d4e-437d-878a-d3bae1e3a82f' class='xr-var-data-in' type='checkbox'><label for='data-9ab4d15f-4d4e-437d-878a-d3bae1e3a82f' title='Show/Hide data 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;2021-11-24T00:00:00.000000000&#x27;, &#x27;2021-11-24T00:30:00.000000000&#x27;,\n",
       "       &#x27;2021-11-24T01:00:00.000000000&#x27;, ..., &#x27;2022-12-31T22:30:00.000000000&#x27;,\n",
       "       &#x27;2022-12-31T23:00:00.000000000&#x27;, &#x27;2022-12-31T23:30:00.000000000&#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'>soil_class</span></div><div class='xr-var-dims'>(soil_class)</div><div class='xr-var-dtype'>&lt;U16</div><div class='xr-var-preview xr-preview'>&#x27;Fallen tree&#x27; ... &#x27;Instruments&#x27;</div><input id='attrs-23638125-9d97-4467-ae91-ee03465a25d1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-23638125-9d97-4467-ae91-ee03465a25d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b42bb9de-e16b-4a10-9e07-0e1092fe1d95' class='xr-var-data-in' type='checkbox'><label for='data-b42bb9de-e16b-4a10-9e07-0e1092fe1d95' title='Show/Hide data 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;Fallen tree&#x27;, &#x27;Dry branch&#x27;, &#x27;Exposed peat&#x27;, &#x27;Light moss&#x27;, &#x27;Dark moss&#x27;,\n",
       "       &#x27;Green vegetation&#x27;, &#x27;Ditch&#x27;, &#x27;Tree&#x27;, &#x27;Covered ditch&#x27;, &#x27;Instruments&#x27;],\n",
       "      dtype=&#x27;&lt;U16&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e395f245-b0d0-48e1-b49d-26104dc7b675' class='xr-section-summary-in' type='checkbox'  ><label for='section-e395f245-b0d0-48e1-b49d-26104dc7b675' class='xr-section-summary' >Data variables: <span>(83)</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>H</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... -30.69 -31.54</div><input id='attrs-818e4dc3-1094-4f09-8c14-9e10a6697b68' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-818e4dc3-1094-4f09-8c14-9e10a6697b68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3708613d-91d6-4812-8386-23a13eb1878f' class='xr-var-data-in' type='checkbox'><label for='data-3708613d-91d6-4812-8386-23a13eb1878f' title='Show/Hide data 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([     nan,      nan,      nan, ..., -32.6876, -30.6858, -31.5366])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>H_qf</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... -30.69 -31.54</div><input id='attrs-bbbf5ab3-2009-4cd5-b343-813a6f9ad5c2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bbbf5ab3-2009-4cd5-b343-813a6f9ad5c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5464cee6-4f8c-4e0a-a033-0fd3b90da14e' class='xr-var-data-in' type='checkbox'><label for='data-5464cee6-4f8c-4e0a-a033-0fd3b90da14e' title='Show/Hide data 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([     nan,      nan,      nan, ..., -32.6876, -30.6858, -31.5366])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>H_final</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... -30.69 -31.54</div><input id='attrs-9a6de398-be9e-42eb-8cd6-ca9110367938' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9a6de398-be9e-42eb-8cd6-ca9110367938' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5492dba-013b-4621-a2fd-90f0a6b74755' class='xr-var-data-in' type='checkbox'><label for='data-f5492dba-013b-4621-a2fd-90f0a6b74755' title='Show/Hide data 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([     nan,      nan,      nan, ..., -32.6876, -30.6858, -31.5366])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rand_err_H</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 4.997 6.068 6.291</div><input id='attrs-315febd6-8ec0-46fb-8407-bdf7dbcac8eb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-315febd6-8ec0-46fb-8407-bdf7dbcac8eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae69ebb6-3532-4703-8a67-8417d68a0af5' class='xr-var-data-in' type='checkbox'><label for='data-ae69ebb6-3532-4703-8a67-8417d68a0af5' title='Show/Hide data 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([    nan,     nan,     nan, ..., 4.99669, 6.06758, 6.29134])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... -12.28 -14.01</div><input id='attrs-a67ba6c6-5170-4cd4-9971-a175cf054bce' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a67ba6c6-5170-4cd4-9971-a175cf054bce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a1587a7-b60d-4b43-bb41-b749ee94e453' class='xr-var-data-in' type='checkbox'><label for='data-2a1587a7-b60d-4b43-bb41-b749ee94e453' title='Show/Hide data 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([     nan,      nan,      nan, ..., -22.2081, -12.2812, -14.0133])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LE_qf</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... nan -12.28 -14.01</div><input id='attrs-9bb47292-000a-4131-85ec-0b30bc67696d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9bb47292-000a-4131-85ec-0b30bc67696d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c16ffd93-05da-4920-bdea-076f80c3441f' class='xr-var-data-in' type='checkbox'><label for='data-c16ffd93-05da-4920-bdea-076f80c3441f' title='Show/Hide data 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([     nan,      nan,      nan, ...,      nan, -12.2812, -14.0133])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LE_qf_ust</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... nan -12.28 -14.01</div><input id='attrs-79b3d67b-b13c-4aa7-b0ea-9b2daf5e3424' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-79b3d67b-b13c-4aa7-b0ea-9b2daf5e3424' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f66534b2-b6bd-419a-839e-1489be85490c' class='xr-var-data-in' type='checkbox'><label for='data-f66534b2-b6bd-419a-839e-1489be85490c' title='Show/Hide data 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([     nan,      nan,      nan, ...,      nan, -12.2812, -14.0133])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LE_final</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... nan -12.53 -14.06</div><input id='attrs-6e96bc2f-d647-4832-8b55-919319dd08b3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6e96bc2f-d647-4832-8b55-919319dd08b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b602c37-0f58-408e-9773-102a1ba5c6d4' class='xr-var-data-in' type='checkbox'><label for='data-5b602c37-0f58-408e-9773-102a1ba5c6d4' title='Show/Hide data 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([        nan,         nan,         nan, ...,         nan,\n",
       "       -12.525902 , -14.0610089])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>h2o_mixing_ratio</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 1.193 1.127 1.114</div><input id='attrs-c88136d9-6c13-49f4-894e-18dfe6225e47' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c88136d9-6c13-49f4-894e-18dfe6225e47' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eccf67ab-a86f-4cb4-a292-619a1c63293e' class='xr-var-data-in' type='checkbox'><label for='data-eccf67ab-a86f-4cb4-a292-619a1c63293e' title='Show/Hide data 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([    nan,     nan,     nan, ..., 1.19347, 1.12671, 1.11371])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LE_strg</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... -0.2447 -0.04771</div><input id='attrs-90cc6a41-2e55-45a5-a20f-829ce6c9d27c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-90cc6a41-2e55-45a5-a20f-829ce6c9d27c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b47168a1-4943-4a68-b5eb-40fc366e0513' class='xr-var-data-in' type='checkbox'><label for='data-b47168a1-4943-4a68-b5eb-40fc366e0513' title='Show/Hide data 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([       nan,        nan,        nan, ...,  0.136745 , -0.244702 ,\n",
       "       -0.0477089])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>h2o_var</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.002421 0.003031</div><input id='attrs-8d196d78-26dd-4c42-abb7-eb29ed03c80b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8d196d78-26dd-4c42-abb7-eb29ed03c80b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71ee49a9-eccd-4519-96c0-a976aa7b4a0c' class='xr-var-data-in' type='checkbox'><label for='data-71ee49a9-eccd-4519-96c0-a976aa7b4a0c' title='Show/Hide data 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([       nan,        nan,        nan, ..., 0.00256921, 0.00242135,\n",
       "       0.00303137])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rand_err_LE</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 2.945 3.227 3.588</div><input id='attrs-0d6b8a73-8576-47bd-b28d-4c902e0aea2e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0d6b8a73-8576-47bd-b28d-4c902e0aea2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8111d899-53da-435c-960f-3d9ec1f420d0' class='xr-var-data-in' type='checkbox'><label for='data-8111d899-53da-435c-960f-3d9ec1f420d0' title='Show/Hide data 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([    nan,     nan,     nan, ..., 2.94499, 3.22743, 3.58807])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tau</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... -0.2278 -0.1432</div><input id='attrs-b9bcac50-5b67-43be-85b4-653e7d34c52a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b9bcac50-5b67-43be-85b4-653e7d34c52a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dfa231a9-da3d-48cc-969e-e4080c63c1c9' class='xr-var-data-in' type='checkbox'><label for='data-dfa231a9-da3d-48cc-969e-e4080c63c1c9' title='Show/Hide data 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([      nan,       nan,       nan, ..., -0.167889, -0.227809,\n",
       "       -0.143152])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tau_final</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... -0.2278 -0.1432</div><input id='attrs-aeeb8d9a-5fff-4775-b212-7a7be90f46cd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-aeeb8d9a-5fff-4775-b212-7a7be90f46cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90500bd8-6a40-4e11-8c5c-afb516a810e2' class='xr-var-data-in' type='checkbox'><label for='data-90500bd8-6a40-4e11-8c5c-afb516a810e2' title='Show/Hide data 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([      nan,       nan,       nan, ..., -0.167889, -0.227809,\n",
       "       -0.143152])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rand_err_Tau</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.03141 0.02352</div><input id='attrs-8f1d0344-b171-458d-b86f-6615e03447c3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8f1d0344-b171-458d-b86f-6615e03447c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c286d18f-ef9c-4409-8233-406372b305fe' class='xr-var-data-in' type='checkbox'><label for='data-c286d18f-ef9c-4409-8233-406372b305fe' title='Show/Hide data 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([      nan,       nan,       nan, ..., 0.0265182, 0.0314093,\n",
       "       0.0235157])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UST</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.4123 0.3267</div><input id='attrs-1cd81e5b-69d6-46ac-b677-a56fcdb268ca' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1cd81e5b-69d6-46ac-b677-a56fcdb268ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c898a5e5-0b2c-4ed7-bd69-545fc0e93e67' class='xr-var-data-in' type='checkbox'><label for='data-c898a5e5-0b2c-4ed7-bd69-545fc0e93e67' title='Show/Hide data 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([     nan,      nan,      nan, ..., 0.354467, 0.412281, 0.326658])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UST_qf</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.4123 0.3267</div><input id='attrs-799a9905-6892-4cba-9ae1-cc30bdecbead' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-799a9905-6892-4cba-9ae1-cc30bdecbead' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8601c0f-e717-46c3-b6f2-5b295ee39a13' class='xr-var-data-in' type='checkbox'><label for='data-b8601c0f-e717-46c3-b6f2-5b295ee39a13' title='Show/Hide data 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([     nan,      nan,      nan, ..., 0.354467, 0.412281, 0.326658])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UST_final</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.4123 0.3267</div><input id='attrs-118631d3-3467-4c87-ba7d-41bdf348ef6a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-118631d3-3467-4c87-ba7d-41bdf348ef6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d40cac84-fe7d-4ce1-be80-41940275a387' class='xr-var-data-in' type='checkbox'><label for='data-d40cac84-fe7d-4ce1-be80-41940275a387' title='Show/Hide data 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([     nan,      nan,      nan, ..., 0.354467, 0.412281, 0.326658])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ch4_flux</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-e81fae99-a4c2-456e-98fb-d41612b8447b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e81fae99-a4c2-456e-98fb-d41612b8447b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab100257-9d33-4237-94f3-58dca4343e48' class='xr-var-data-in' type='checkbox'><label for='data-ab100257-9d33-4237-94f3-58dca4343e48' title='Show/Hide data 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([nan, nan, nan, ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ch4_flux_qf</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-2ac75d5b-6d4b-4e28-81c4-48023c58dde9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2ac75d5b-6d4b-4e28-81c4-48023c58dde9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8243f754-09e3-45eb-874f-1bbd0307474c' class='xr-var-data-in' type='checkbox'><label for='data-8243f754-09e3-45eb-874f-1bbd0307474c' title='Show/Hide data 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([nan, nan, nan, ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ch4_flux_qf_ust</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-1397b951-ace7-4501-b939-247c4f3c0b04' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1397b951-ace7-4501-b939-247c4f3c0b04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b3e7f64-c8b3-403c-921c-fe83e382a43d' class='xr-var-data-in' type='checkbox'><label for='data-5b3e7f64-c8b3-403c-921c-fe83e382a43d' title='Show/Hide data 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([nan, nan, nan, ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ch4_flux_final</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-0e64cfcb-0c71-4057-9b84-b1ab5df02a0c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0e64cfcb-0c71-4057-9b84-b1ab5df02a0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29596aa1-45cf-4216-986b-198b8b2c4b8e' class='xr-var-data-in' type='checkbox'><label for='data-29596aa1-45cf-4216-986b-198b8b2c4b8e' title='Show/Hide data 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([nan, nan, nan, ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ch4_mixing_ratio</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-7f0e55a4-8ad9-4284-916d-86c401970068' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7f0e55a4-8ad9-4284-916d-86c401970068' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9761a75d-e156-4ccc-833d-c425a497fa0f' class='xr-var-data-in' type='checkbox'><label for='data-9761a75d-e156-4ccc-833d-c425a497fa0f' title='Show/Hide data 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([nan, nan, nan, ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ch4_strg</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-ff7faf74-73e5-4654-924e-094b77f8e881' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ff7faf74-73e5-4654-924e-094b77f8e881' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce69ec08-0527-4d75-a646-d31a48a73557' class='xr-var-data-in' type='checkbox'><label for='data-ce69ec08-0527-4d75-a646-d31a48a73557' title='Show/Hide data 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([nan, nan, nan, ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ch4_var</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-303b8979-a1b2-4ec5-9462-adfce419197c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-303b8979-a1b2-4ec5-9462-adfce419197c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e2a0b19-63d9-4634-bc5f-4d39d3ca58c7' class='xr-var-data-in' type='checkbox'><label for='data-6e2a0b19-63d9-4634-bc5f-4d39d3ca58c7' title='Show/Hide data 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([nan, nan, nan, ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rand_err_ch4_flux</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-a0869101-e284-48b3-a1dd-20c2532a477e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a0869101-e284-48b3-a1dd-20c2532a477e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1332a91b-82ca-45a9-9c10-760fb6436c79' class='xr-var-data-in' type='checkbox'><label for='data-1332a91b-82ca-45a9-9c10-760fb6436c79' title='Show/Hide data 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([nan, nan, nan, ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>co2_flux</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.1088 0.2033</div><input id='attrs-2a9a7042-2717-460c-aeec-77c214e31ac5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2a9a7042-2717-460c-aeec-77c214e31ac5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32c29327-4c14-4ae3-9c0d-080eb62dc888' class='xr-var-data-in' type='checkbox'><label for='data-32c29327-4c14-4ae3-9c0d-080eb62dc888' title='Show/Hide data 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([      nan,       nan,       nan, ..., -0.38615 ,  0.10879 ,\n",
       "        0.203279])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>co2_flux_qf</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.1088 0.2033</div><input id='attrs-04f9d128-256b-4eab-999c-1aedcd9cefef' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-04f9d128-256b-4eab-999c-1aedcd9cefef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f538baa-7284-4d6f-bb7f-a890b1062f5c' class='xr-var-data-in' type='checkbox'><label for='data-8f538baa-7284-4d6f-bb7f-a890b1062f5c' title='Show/Hide data 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([      nan,       nan,       nan, ..., -0.38615 ,  0.10879 ,\n",
       "        0.203279])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>co2_flux_qf_ust</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.1088 0.2033</div><input id='attrs-d5e57bb6-460d-42bc-bc33-69c6944f2eb9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d5e57bb6-460d-42bc-bc33-69c6944f2eb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56b5977e-e436-4128-964e-2f8c4c3f8456' class='xr-var-data-in' type='checkbox'><label for='data-56b5977e-e436-4128-964e-2f8c4c3f8456' title='Show/Hide data 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([      nan,       nan,       nan, ..., -0.38615 ,  0.10879 ,\n",
       "        0.203279])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>co2_flux_final</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.1424 0.2214</div><input id='attrs-9459e831-e78e-47e2-ac66-6c4de68cc714' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9459e831-e78e-47e2-ac66-6c4de68cc714' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0acfc5b-a8ea-46fb-aa57-7cf37533d4ee' class='xr-var-data-in' type='checkbox'><label for='data-c0acfc5b-a8ea-46fb-aa57-7cf37533d4ee' title='Show/Hide data 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([       nan,        nan,        nan, ..., -0.2930614,  0.1424286,\n",
       "        0.2214436])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>co2_mixing_ratio</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 406.9 407.3 407.5</div><input id='attrs-de2f53d2-441a-48d4-b46b-5bb7aa50f97c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-de2f53d2-441a-48d4-b46b-5bb7aa50f97c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb560491-9bc0-4f0b-9e32-0c10537599ab' class='xr-var-data-in' type='checkbox'><label for='data-cb560491-9bc0-4f0b-9e32-0c10537599ab' title='Show/Hide data 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([    nan,     nan,     nan, ..., 406.924, 407.315, 407.494])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>co2_strg</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.03364 0.01816</div><input id='attrs-8be70aff-96f0-4597-9bdf-a6d4f5f791e2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8be70aff-96f0-4597-9bdf-a6d4f5f791e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff5b47de-b3f6-4de9-8469-4156e42080f5' class='xr-var-data-in' type='checkbox'><label for='data-ff5b47de-b3f6-4de9-8469-4156e42080f5' title='Show/Hide data 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([      nan,       nan,       nan, ..., 0.0930886, 0.0336386,\n",
       "       0.0181646])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>co2_var</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.0646 0.08968</div><input id='attrs-95c57953-67bd-430b-8a94-0e96ec1cb208' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-95c57953-67bd-430b-8a94-0e96ec1cb208' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22c07619-3b4b-4d7d-a29a-c41d351a1ad0' class='xr-var-data-in' type='checkbox'><label for='data-22c07619-3b4b-4d7d-a29a-c41d351a1ad0' title='Show/Hide data 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([      nan,       nan,       nan, ..., 0.253061 , 0.0645963,\n",
       "       0.0896769])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rand_err_co2_flux</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.1545 0.1637</div><input id='attrs-105ac539-0d29-4c54-bf94-f49963f550ac' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-105ac539-0d29-4c54-bf94-f49963f550ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebbc49be-a60f-4856-8ed5-f59ffc712334' class='xr-var-data-in' type='checkbox'><label for='data-ebbc49be-a60f-4856-8ed5-f59ffc712334' title='Show/Hide data 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([     nan,      nan,      nan, ..., 0.621667, 0.154506, 0.163723])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n2o_flux</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-bf6c46da-13b5-4a24-a06c-ee29c9e97055' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bf6c46da-13b5-4a24-a06c-ee29c9e97055' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b95003f6-7df7-4aa5-970f-72d384ff783a' class='xr-var-data-in' type='checkbox'><label for='data-b95003f6-7df7-4aa5-970f-72d384ff783a' title='Show/Hide data 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([nan, nan, nan, ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n2o_flux_qf</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-89c0cc10-60d3-400d-8fad-bccb78eda9e6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-89c0cc10-60d3-400d-8fad-bccb78eda9e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4679a1c5-db37-4186-a97d-c5f6886bd4be' class='xr-var-data-in' type='checkbox'><label for='data-4679a1c5-db37-4186-a97d-c5f6886bd4be' title='Show/Hide data 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([nan, nan, nan, ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n2o_flux_qf_ust</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-b55462ff-cbb1-4ffc-97dc-7532020fc55c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b55462ff-cbb1-4ffc-97dc-7532020fc55c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3ba15fa-1a62-478a-8461-65c235298e5c' class='xr-var-data-in' type='checkbox'><label for='data-b3ba15fa-1a62-478a-8461-65c235298e5c' title='Show/Hide data 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([nan, nan, nan, ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n2o_flux_final</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-e3ff0bf7-267c-47d7-8ea8-9c46fd947fb1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e3ff0bf7-267c-47d7-8ea8-9c46fd947fb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e23b85b7-bb0c-45b7-8d15-155100111fa2' class='xr-var-data-in' type='checkbox'><label for='data-e23b85b7-bb0c-45b7-8d15-155100111fa2' title='Show/Hide data 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([nan, nan, nan, ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n2o_mixing_ratio</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-749bbe0a-6ba5-416a-8ba8-7e0ce259e30a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-749bbe0a-6ba5-416a-8ba8-7e0ce259e30a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d616cb9-1658-44aa-98ae-38c4ae71b4bf' class='xr-var-data-in' type='checkbox'><label for='data-7d616cb9-1658-44aa-98ae-38c4ae71b4bf' title='Show/Hide data 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([nan, nan, nan, ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n2o_strg</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-df2c2c0d-0dc8-4ec8-b3fb-d3fb5818ab05' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-df2c2c0d-0dc8-4ec8-b3fb-d3fb5818ab05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11b28ce4-ce8e-43eb-afc9-0773fb0235f7' class='xr-var-data-in' type='checkbox'><label for='data-11b28ce4-ce8e-43eb-afc9-0773fb0235f7' title='Show/Hide data 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([nan, nan, nan, ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>n2o_var</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-914712bc-992b-414d-83d0-18b9f360340d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-914712bc-992b-414d-83d0-18b9f360340d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63422479-9f2f-47e7-ab4e-f14864b42d0f' class='xr-var-data-in' type='checkbox'><label for='data-63422479-9f2f-47e7-ab4e-f14864b42d0f' title='Show/Hide data 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([nan, nan, nan, ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rand_err_n2o_flux</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-2b1d46c6-b88c-4d35-9248-4fc69c689828' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2b1d46c6-b88c-4d35-9248-4fc69c689828' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8dd866e1-b0c1-43f6-b831-83c80a7d1194' class='xr-var-data-in' type='checkbox'><label for='data-8dd866e1-b0c1-43f6-b831-83c80a7d1194' title='Show/Hide data 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([nan, nan, nan, ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>air_molar_volume</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.0216 0.02158</div><input id='attrs-cd139712-99e0-47cd-8d1f-3696ba9db5f0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cd139712-99e0-47cd-8d1f-3696ba9db5f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef63f955-4ec2-498a-bd12-e35d1bc29f80' class='xr-var-data-in' type='checkbox'><label for='data-ef63f955-4ec2-498a-bd12-e35d1bc29f80' title='Show/Hide data 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([      nan,       nan,       nan, ..., 0.0216671, 0.0216022,\n",
       "       0.021581 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u_var</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 1.429 1.484 1.548</div><input id='attrs-854e9994-db6e-4dd9-b2ad-bd738fb8e6c8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-854e9994-db6e-4dd9-b2ad-bd738fb8e6c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab64e81d-970f-46ac-aaeb-3d3365ccbee0' class='xr-var-data-in' type='checkbox'><label for='data-ab64e81d-970f-46ac-aaeb-3d3365ccbee0' title='Show/Hide data 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([    nan,     nan,     nan, ..., 1.4291 , 1.48411, 1.54774])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_var</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 1.69 1.703 1.782</div><input id='attrs-7bc7642b-2fb1-47c3-bc06-5fe6a658ee91' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7bc7642b-2fb1-47c3-bc06-5fe6a658ee91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f53c571a-8ecb-418d-9185-f6d755814d8f' class='xr-var-data-in' type='checkbox'><label for='data-f53c571a-8ecb-418d-9185-f6d755814d8f' title='Show/Hide data 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([    nan,     nan,     nan, ..., 1.68969, 1.70256, 1.78169])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>w_var</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.4555 0.4504</div><input id='attrs-6b3303c3-6405-4367-ba3f-141e4697ae7e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6b3303c3-6405-4367-ba3f-141e4697ae7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88b0fe00-3aaf-4641-b478-1339c859f4eb' class='xr-var-data-in' type='checkbox'><label for='data-88b0fe00-3aaf-4641-b478-1339c859f4eb' title='Show/Hide data 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([     nan,      nan,      nan, ..., 0.355875, 0.455451, 0.450402])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ts_var</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.03701 0.03943</div><input id='attrs-47af1fff-1a9a-45d9-9cb7-e1c72132c8d7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-47af1fff-1a9a-45d9-9cb7-e1c72132c8d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c664fa2-f966-43db-b5f8-59d8dec25293' class='xr-var-data-in' type='checkbox'><label for='data-5c664fa2-f966-43db-b5f8-59d8dec25293' title='Show/Hide data 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([      nan,       nan,       nan, ..., 0.0371472, 0.0370128,\n",
       "       0.0394312])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_dir</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 210.8 212.3 225.9</div><input id='attrs-a33c37a2-34ec-4e2c-9d71-74e7b2040f54' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a33c37a2-34ec-4e2c-9d71-74e7b2040f54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9ce214d-27a3-4aae-96fe-12fd7b61f0f4' class='xr-var-data-in' type='checkbox'><label for='data-b9ce214d-27a3-4aae-96fe-12fd7b61f0f4' title='Show/Hide data 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([    nan,     nan,     nan, ..., 210.814, 212.29 , 225.857])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 1.71 1.772 1.8</div><input id='attrs-087ab4f6-ffb7-464d-9298-f64965afda77' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-087ab4f6-ffb7-464d-9298-f64965afda77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e7ab3da-165d-4939-ac31-b47b25f14cf8' class='xr-var-data-in' type='checkbox'><label for='data-2e7ab3da-165d-4939-ac31-b47b25f14cf8' title='Show/Hide data 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([    nan,     nan,     nan, ..., 1.71031, 1.77246, 1.80003])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>L</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 116.2 194.9 94.32</div><input id='attrs-4fb8f15e-2c07-4665-88b7-5cb0a121b119' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4fb8f15e-2c07-4665-88b7-5cb0a121b119' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ccead4b-f913-4d3d-aa63-ab79b9446d4f' class='xr-var-data-in' type='checkbox'><label for='data-3ccead4b-f913-4d3d-aa63-ab79b9446d4f' title='Show/Hide data 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([     nan,      nan,      nan, ..., 116.23  , 194.864 ,  94.3219])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>L_final</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 116.2 194.9 94.32</div><input id='attrs-f0d5b4ae-a40d-49f0-948c-4f0c9af7bfbf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f0d5b4ae-a40d-49f0-948c-4f0c9af7bfbf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7785f54-6554-43be-abf3-9549527b417d' class='xr-var-data-in' type='checkbox'><label for='data-a7785f54-6554-43be-abf3-9549527b417d' title='Show/Hide data 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([     nan,      nan,      nan, ..., 116.23  , 194.864 ,  94.3219])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>zoL</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.01591 0.03287</div><input id='attrs-0c396d41-d2d3-4c95-bf52-179993d8e884' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0c396d41-d2d3-4c95-bf52-179993d8e884' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a55e20a-c697-4a2c-a248-1c98311cde79' class='xr-var-data-in' type='checkbox'><label for='data-1a55e20a-c697-4a2c-a248-1c98311cde79' title='Show/Hide data 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([      nan,       nan,       nan, ..., 0.0266711, 0.0159085,\n",
       "       0.0328662])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>zoL_final</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.01591 0.03287</div><input id='attrs-7114fce1-4fd1-49a5-a1d3-4362efa22c1c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7114fce1-4fd1-49a5-a1d3-4362efa22c1c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9747e35d-0fb7-452b-95be-64790b1190f1' class='xr-var-data-in' type='checkbox'><label for='data-9747e35d-0fb7-452b-95be-64790b1190f1' title='Show/Hide data 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([      nan,       nan,       nan, ..., 0.0266711, 0.0159085,\n",
       "       0.0328662])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>USTlm</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.09 0.09 0.09</div><input id='attrs-4171d47b-68c7-4a02-b489-9fadfa79617e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4171d47b-68c7-4a02-b489-9fadfa79617e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7854a556-3de9-4533-9d3d-bb494c56afe9' class='xr-var-data-in' type='checkbox'><label for='data-7854a556-3de9-4533-9d3d-bb494c56afe9' title='Show/Hide data 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([ nan,  nan,  nan, ..., 0.09, 0.09, 0.09])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ALB_1_1_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-18bf4cf3-ca9f-4700-b9eb-44f2fbfa330e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-18bf4cf3-ca9f-4700-b9eb-44f2fbfa330e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18527582-2296-4f69-a235-e5699a74443a' class='xr-var-data-in' type='checkbox'><label for='data-18527582-2296-4f69-a235-e5699a74443a' title='Show/Hide data 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([nan, nan, nan, ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>D_SNOW_1_1_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-28c1e5c6-5d06-4c52-ab3c-505411f2876c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-28c1e5c6-5d06-4c52-ab3c-505411f2876c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e07b15d9-bbc3-4bd3-959d-453f19f9337f' class='xr-var-data-in' type='checkbox'><label for='data-e07b15d9-bbc3-4bd3-959d-453f19f9337f' title='Show/Hide data 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([nan, nan, nan, ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LWIN_1_1_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 326.5 324.6 322.5</div><input id='attrs-e2968f82-1fe8-4d6e-b55e-a9bdf680ccdf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e2968f82-1fe8-4d6e-b55e-a9bdf680ccdf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe285c8a-6991-44bf-8f7b-81f246ca9bf0' class='xr-var-data-in' type='checkbox'><label for='data-fe285c8a-6991-44bf-8f7b-81f246ca9bf0' title='Show/Hide data 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([     nan,      nan,      nan, ..., 326.4679, 324.636 , 322.4646])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LWOUT_1_1_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 320.4 320.1 319.7</div><input id='attrs-cef1b489-6f29-4f08-8e9b-dec5ee580a98' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cef1b489-6f29-4f08-8e9b-dec5ee580a98' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-160cda73-acae-4265-af48-5152d215ebfe' class='xr-var-data-in' type='checkbox'><label for='data-160cda73-acae-4265-af48-5152d215ebfe' title='Show/Hide data 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([     nan,      nan,      nan, ..., 320.3736, 320.1248, 319.7274])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PPFD_1_1_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... -0.0014 -0.0013</div><input id='attrs-ef8a8e55-12a1-487d-bc4e-e87e8ddcdf8c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ef8a8e55-12a1-487d-bc4e-e87e8ddcdf8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b1b6040-a01a-4d86-a727-3e0369352a8c' class='xr-var-data-in' type='checkbox'><label for='data-0b1b6040-a01a-4d86-a727-3e0369352a8c' title='Show/Hide data 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([    nan,     nan,     nan, ..., -0.0014, -0.0014, -0.0013])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>P_RAIN_1_1_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.0 0.0 0.1 0.1</div><input id='attrs-f3ab2ced-ca85-4de3-b565-c5de7fef933d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f3ab2ced-ca85-4de3-b565-c5de7fef933d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22308b47-d5ea-4e9a-9117-8ef7b4aacfa7' class='xr-var-data-in' type='checkbox'><label for='data-22308b47-d5ea-4e9a-9117-8ef7b4aacfa7' title='Show/Hide data 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([nan, nan, nan, ..., 0. , 0.1, 0.1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RH_1_1_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 91.75 91.75 92.28</div><input id='attrs-0925afff-bf74-4aba-aadb-cb449a682eb5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0925afff-bf74-4aba-aadb-cb449a682eb5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe6735b5-a6b6-44e6-baf0-2a4d8493db68' class='xr-var-data-in' type='checkbox'><label for='data-fe6735b5-a6b6-44e6-baf0-2a4d8493db68' title='Show/Hide data 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([    nan,     nan,     nan, ..., 91.7511, 91.7464, 92.2821])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RN_1_1_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 4.58 2.843 1.075</div><input id='attrs-74f194f2-9f49-4e49-a23d-6dbc429b128d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-74f194f2-9f49-4e49-a23d-6dbc429b128d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4921f09-b930-4849-9a62-e199cbcec188' class='xr-var-data-in' type='checkbox'><label for='data-f4921f09-b930-4849-9a62-e199cbcec188' title='Show/Hide data 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([   nan,    nan,    nan, ..., 4.5802, 2.8427, 1.0751])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SHF_1_1_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... -0.717 -0.7173</div><input id='attrs-35728c6a-bf9b-494c-87b2-97ed1fecf7b3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-35728c6a-bf9b-494c-87b2-97ed1fecf7b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52dfbe13-3a72-41b1-837c-e56740118a17' class='xr-var-data-in' type='checkbox'><label for='data-52dfbe13-3a72-41b1-837c-e56740118a17' title='Show/Hide data 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([    nan,     nan,     nan, ..., -0.7173, -0.717 , -0.7173])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SHF_2_1_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... -3.077 -3.072</div><input id='attrs-b6f66758-54b0-4ffe-a293-c5b16def24ac' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b6f66758-54b0-4ffe-a293-c5b16def24ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-080bc72a-8698-4b6b-bf24-d9abcd7d1849' class='xr-var-data-in' type='checkbox'><label for='data-080bc72a-8698-4b6b-bf24-d9abcd7d1849' title='Show/Hide data 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([    nan,     nan,     nan, ..., -3.0827, -3.0772, -3.0717])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SHF_3_1_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... -1.865 -1.861</div><input id='attrs-9b231960-1dc5-4cf2-9fe4-ab9f4f4d0854' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9b231960-1dc5-4cf2-9fe4-ab9f4f4d0854' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90693dea-3ab9-4449-8103-7d508316b8ef' class='xr-var-data-in' type='checkbox'><label for='data-90693dea-3ab9-4449-8103-7d508316b8ef' title='Show/Hide data 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([    nan,     nan,     nan, ..., -1.8681, -1.8646, -1.8612])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SO411O2_1_1_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-662e6dc7-f78a-4060-bba5-9485bd49760d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-662e6dc7-f78a-4060-bba5-9485bd49760d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95ed0dcb-19dc-4389-89bb-5a460b6163d8' class='xr-var-data-in' type='checkbox'><label for='data-95ed0dcb-19dc-4389-89bb-5a460b6163d8' title='Show/Hide data 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([nan, nan, nan, ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SO411O2_1_2_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-99b72258-fedd-42b2-b989-e8186b871493' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-99b72258-fedd-42b2-b989-e8186b871493' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91dcddef-526c-408d-abe1-7e7f20a7dea0' class='xr-var-data-in' type='checkbox'><label for='data-91dcddef-526c-408d-abe1-7e7f20a7dea0' title='Show/Hide data 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([nan, nan, nan, ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SO411O2_1_3_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-84f23cf1-1c56-4ba3-8887-53149dfa605b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-84f23cf1-1c56-4ba3-8887-53149dfa605b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-951329f3-18a7-4f6c-8f96-e683e96e7861' class='xr-var-data-in' type='checkbox'><label for='data-951329f3-18a7-4f6c-8f96-e683e96e7861' title='Show/Hide data 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([nan, nan, nan, ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SO411O2_1_4_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-1e5e344f-25f7-47ac-955b-80c11b3a5a41' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1e5e344f-25f7-47ac-955b-80c11b3a5a41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ccbedfe6-abcf-4232-8c01-ec280abce7d8' class='xr-var-data-in' type='checkbox'><label for='data-ccbedfe6-abcf-4232-8c01-ec280abce7d8' title='Show/Hide data 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([nan, nan, nan, ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SO411O2_1_5_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-43e20eb8-3fb2-46ab-ab4c-ad235e6a25f5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-43e20eb8-3fb2-46ab-ab4c-ad235e6a25f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82462607-b9bf-4454-a77b-d1ec1728ba90' class='xr-var-data-in' type='checkbox'><label for='data-82462607-b9bf-4454-a77b-d1ec1728ba90' title='Show/Hide data 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([nan, nan, nan, ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SWC_1_1_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.684 0.684 0.684</div><input id='attrs-b0464a4a-7324-4fd8-9256-c6509db157bf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b0464a4a-7324-4fd8-9256-c6509db157bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b7717b5-595e-4f39-abe5-65603dc267ae' class='xr-var-data-in' type='checkbox'><label for='data-1b7717b5-595e-4f39-abe5-65603dc267ae' title='Show/Hide data 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([  nan,   nan,   nan, ..., 0.684, 0.684, 0.684])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SWC_2_1_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.6768 0.6769</div><input id='attrs-58e02b05-c7bf-415b-8b1a-b4403f80922d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-58e02b05-c7bf-415b-8b1a-b4403f80922d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddedd615-36ea-4992-9fd8-1f92cffd55b9' class='xr-var-data-in' type='checkbox'><label for='data-ddedd615-36ea-4992-9fd8-1f92cffd55b9' title='Show/Hide data 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([   nan,    nan,    nan, ..., 0.6765, 0.6768, 0.6769])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SWC_3_1_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.669 0.669 0.6689</div><input id='attrs-0c2300c3-b25c-4134-943e-0fc72c1079d0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0c2300c3-b25c-4134-943e-0fc72c1079d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a83400a-1820-4e9e-b8a7-4069e5dcb7a6' class='xr-var-data-in' type='checkbox'><label for='data-1a83400a-1820-4e9e-b8a7-4069e5dcb7a6' title='Show/Hide data 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([   nan,    nan,    nan, ..., 0.669 , 0.669 , 0.6689])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SWIN_1_1_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... -1.475 -1.644</div><input id='attrs-e26989cd-2b14-4427-9243-46ef10333f31' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e26989cd-2b14-4427-9243-46ef10333f31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b895b97-b359-491e-8de0-9c53b9555e9c' class='xr-var-data-in' type='checkbox'><label for='data-1b895b97-b359-491e-8de0-9c53b9555e9c' title='Show/Hide data 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([    nan,     nan,     nan, ..., -1.4877, -1.4751, -1.6438])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SWIN_POT</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 0.0 0.0 0.0 0.0</div><input id='attrs-0d2416db-d30f-48c5-9c15-32f4b8be484c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0d2416db-d30f-48c5-9c15-32f4b8be484c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c1b83ae-423e-4176-bb99-54598ce914cd' class='xr-var-data-in' type='checkbox'><label for='data-8c1b83ae-423e-4176-bb99-54598ce914cd' title='Show/Hide data 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([nan, nan, nan, ...,  0.,  0.,  0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SWOUT_1_1_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 0.1934 0.0184</div><input id='attrs-994b05cd-0999-47a2-b752-310ef44909eb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-994b05cd-0999-47a2-b752-310ef44909eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c096351-2cae-465a-8356-9e5b3e5f4979' class='xr-var-data-in' type='checkbox'><label for='data-2c096351-2cae-465a-8356-9e5b3e5f4979' title='Show/Hide data 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([   nan,    nan,    nan, ..., 0.0265, 0.1934, 0.0184])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TA_1_1_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-87deb1f9-dc94-4ffa-b884-613c2a59ac0a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-87deb1f9-dc94-4ffa-b884-613c2a59ac0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2905f86b-e9f2-4a6c-95fb-cc0abf88541d' class='xr-var-data-in' type='checkbox'><label for='data-2905f86b-e9f2-4a6c-95fb-cc0abf88541d' title='Show/Hide data 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([nan, nan, nan, ..., nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TS_1_1_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 1.6 1.6 1.6 1.6</div><input id='attrs-09a63467-f39e-4760-9a17-02bdb9bf4f9b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-09a63467-f39e-4760-9a17-02bdb9bf4f9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8913b1f-cad4-4476-8a32-de34aa8f1575' class='xr-var-data-in' type='checkbox'><label for='data-a8913b1f-cad4-4476-8a32-de34aa8f1575' title='Show/Hide data 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([nan, nan, nan, ..., 1.6, 1.6, 1.6])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TS_2_1_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 2.677 2.673 2.687</div><input id='attrs-e6fe604b-440a-413e-936c-7310dd5f774f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e6fe604b-440a-413e-936c-7310dd5f774f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f633461-f8a4-4caf-bf43-453a9697a97e' class='xr-var-data-in' type='checkbox'><label for='data-0f633461-f8a4-4caf-bf43-453a9697a97e' title='Show/Hide data 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([   nan,    nan,    nan, ..., 2.6767, 2.6733, 2.6867])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TS_3_1_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 3.403 3.4 3.4</div><input id='attrs-12cc41f9-c4a0-48a6-a889-fbc8a6b7433c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-12cc41f9-c4a0-48a6-a889-fbc8a6b7433c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-888084fb-0692-46e2-9612-8846da45c77b' class='xr-var-data-in' type='checkbox'><label for='data-888084fb-0692-46e2-9612-8846da45c77b' title='Show/Hide data 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([   nan,    nan,    nan, ..., 3.4033, 3.4   , 3.4   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WTD_1_1_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... 1.55 1.55 1.55</div><input id='attrs-5aa8449f-1abd-4849-9e6f-e4317b100a0f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5aa8449f-1abd-4849-9e6f-e4317b100a0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39f6593e-6905-4b2d-a190-1e49f77b04e7' class='xr-var-data-in' type='checkbox'><label for='data-39f6593e-6905-4b2d-a190-1e49f77b04e7' title='Show/Hide data 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([   nan,    nan,    nan, ..., 1.5496, 1.5499, 1.5503])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PA_1_1_1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 97.18 97.22 97.23</div><input id='attrs-35f4e028-29de-4bdc-825c-447c6471eb36' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-35f4e028-29de-4bdc-825c-447c6471eb36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14bf2311-8776-44ef-93d5-1f68a84c3127' class='xr-var-data-in' type='checkbox'><label for='data-14bf2311-8776-44ef-93d5-1f68a84c3127' title='Show/Hide data 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([    nan,     nan,     nan, ..., 97.1784, 97.2161, 97.2349])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>fpr_contribution</span></div><div class='xr-var-dims'>(soil_class, time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 3.277e-11 4.689e-09</div><input id='attrs-dd170697-792a-413d-8602-ba2f9a122c5b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dd170697-792a-413d-8602-ba2f9a122c5b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d8f9dd5-d974-47f6-98f5-5b10853abc88' class='xr-var-data-in' type='checkbox'><label for='data-6d8f9dd5-d974-47f6-98f5-5b10853abc88' title='Show/Hide data 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([[           nan,            nan,            nan, ...,\n",
       "        1.96784346e-01, 2.00984198e-01, 1.99713437e-01],\n",
       "       [           nan,            nan,            nan, ...,\n",
       "        2.73017722e-02, 2.35449062e-02, 2.33940036e-02],\n",
       "       [           nan,            nan,            nan, ...,\n",
       "        4.51411286e-01, 4.66338108e-01, 4.54352707e-01],\n",
       "       ...,\n",
       "       [           nan,            nan,            nan, ...,\n",
       "        1.49832514e-02, 1.42253064e-02, 1.83242462e-02],\n",
       "       [           nan,            nan,            nan, ...,\n",
       "        7.00997584e-03, 6.38556429e-03, 5.54022073e-03],\n",
       "       [           nan,            nan,            nan, ...,\n",
       "        1.04438570e-10, 3.27697211e-11, 4.68894522e-09]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c68e72e6-5472-4ab9-ba58-3bfcee6cd2ba' class='xr-section-summary-in' type='checkbox'  ><label for='section-c68e72e6-5472-4ab9-ba58-3bfcee6cd2ba' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-61a8a818-fe62-41ca-967a-dc73cc2878f8' class='xr-index-data-in' type='checkbox'/><label for='index-61a8a818-fe62-41ca-967a-dc73cc2878f8' 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;2021-11-24 00:00:00&#x27;, &#x27;2021-11-24 00:30:00&#x27;,\n",
       "               &#x27;2021-11-24 01:00:00&#x27;, &#x27;2021-11-24 01:30:00&#x27;,\n",
       "               &#x27;2021-11-24 02:00:00&#x27;, &#x27;2021-11-24 02:30:00&#x27;,\n",
       "               &#x27;2021-11-24 03:00:00&#x27;, &#x27;2021-11-24 03:30:00&#x27;,\n",
       "               &#x27;2021-11-24 04:00:00&#x27;, &#x27;2021-11-24 04:30:00&#x27;,\n",
       "               ...\n",
       "               &#x27;2022-12-31 19:00:00&#x27;, &#x27;2022-12-31 19:30:00&#x27;,\n",
       "               &#x27;2022-12-31 20:00:00&#x27;, &#x27;2022-12-31 20:30:00&#x27;,\n",
       "               &#x27;2022-12-31 21:00:00&#x27;, &#x27;2022-12-31 21:30:00&#x27;,\n",
       "               &#x27;2022-12-31 22:00:00&#x27;, &#x27;2022-12-31 22:30:00&#x27;,\n",
       "               &#x27;2022-12-31 23:00:00&#x27;, &#x27;2022-12-31 23:30:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=19344, freq=&#x27;30T&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>soil_class</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-87ac5ba0-835d-402d-8046-0a9185417ee2' class='xr-index-data-in' type='checkbox'/><label for='index-87ac5ba0-835d-402d-8046-0a9185417ee2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;Fallen tree&#x27;, &#x27;Dry branch&#x27;, &#x27;Exposed peat&#x27;, &#x27;Light moss&#x27;, &#x27;Dark moss&#x27;,\n",
       "       &#x27;Green vegetation&#x27;, &#x27;Ditch&#x27;, &#x27;Tree&#x27;, &#x27;Covered ditch&#x27;, &#x27;Instruments&#x27;],\n",
       "      dtype=&#x27;object&#x27;, name=&#x27;soil_class&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-acea4fb1-fa54-4231-ad69-7db1a4f968b6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-acea4fb1-fa54-4231-ad69-7db1a4f968b6' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:            (time: 19344, soil_class: 10)\n",
       "Coordinates:\n",
       "  * time               (time) datetime64[ns] 2021-11-24 ... 2022-12-31T23:30:00\n",
       "  * soil_class         (soil_class) <U16 'Fallen tree' ... 'Instruments'\n",
       "Data variables: (12/83)\n",
       "    H                  (time) float64 nan nan nan nan ... -32.69 -30.69 -31.54\n",
       "    H_qf               (time) float64 nan nan nan nan ... -32.69 -30.69 -31.54\n",
       "    H_final            (time) float64 nan nan nan nan ... -32.69 -30.69 -31.54\n",
       "    rand_err_H         (time) float64 nan nan nan nan ... 4.997 6.068 6.291\n",
       "    LE                 (time) float64 nan nan nan nan ... -22.21 -12.28 -14.01\n",
       "    LE_qf              (time) float64 nan nan nan nan ... nan -12.28 -14.01\n",
       "    ...                 ...\n",
       "    TS_1_1_1           (time) float64 nan nan nan nan nan ... 1.6 1.6 1.6 1.6\n",
       "    TS_2_1_1           (time) float64 nan nan nan nan ... 2.677 2.673 2.687\n",
       "    TS_3_1_1           (time) float64 nan nan nan nan ... 3.413 3.403 3.4 3.4\n",
       "    WTD_1_1_1          (time) float64 nan nan nan nan ... 1.55 1.55 1.55 1.55\n",
       "    PA_1_1_1           (time) float64 nan nan nan nan ... 97.18 97.22 97.23\n",
       "    fpr_contribution   (soil_class, time) float64 nan nan ... 4.689e-09"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xr_all"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## WTD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "def date_parser_wtd(row):\n",
    "    # There are four types of string that can come from row. This need to handled separately\n",
    "    # The idea is to first parse only the date from both options (first 10 characters) and then extract the time of day separately\n",
    "    # For each case that was found\n",
    "    # First one is 2020-06-02 00:00:00 20:00:00\n",
    "    # The second one is e.g., 2020-07-05 00:00:00 1900-02-02 18:00:00\n",
    "    # The third is 2020-07-05 00:00:00 1900-02-02 18:00:00.59.590000\n",
    "    # the fouth is 2020-07-05 00:00:00 1900-02-02 24:00:00\n",
    "\n",
    "    # Take date\n",
    "    date = datetime.strptime(row[:10], r'%Y-%m-%d')\n",
    "\n",
    "    # check if there is . in the time\n",
    "\n",
    "    if \".\" in row:\n",
    "        t = row[20:28]\n",
    "    else:\n",
    "        t = row[-8:]\n",
    "    \n",
    "    t_split = t.split(\":\")\n",
    "    hours = int(t_split[0])\n",
    "    minutes = int(t_split[1])\n",
    "\n",
    "    if hours == 0 and minutes == 0:\n",
    "        hours = 24\n",
    "        minutes = 0\n",
    "\n",
    "    date = date + timedelta(hours=hours, minutes=minutes)\n",
    "\n",
    "    return date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/_7/7fgf24sd5ggbyr5x9kzrwz7c0000gn/T/ipykernel_18766/1193253790.py:1: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n",
      "  wtd = pd.read_excel(f'{ONEDRIVE_FOLDER}/WTD/ranskalankorpi_odyssey_data/Odyssey_wt-data_ranskalankorpi_2020-05-12_2023-04-27.xlsx', skiprows=4, header=0, parse_dates={'datetime': ['Date','Time']}, date_parser= lambda x: date_parser_wtd(x), index_col='datetime')\n"
     ]
    }
   ],
   "source": [
    "wtd = pd.read_excel(f'{ONEDRIVE_FOLDER}/WTD/ranskalankorpi_odyssey_data/Odyssey_wt-data_ranskalankorpi_2020-05-12_2023-04-27.xlsx', skiprows=4, header=0, parse_dates={'datetime': ['Date','Time']}, date_parser= lambda x: date_parser_wtd(x), index_col='datetime')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-05-12 15:00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-89.930</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-89.930</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-12 15:30:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-89.930</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-89.930</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-12 16:00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>83.807</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-90.092</td>\n",
       "      <td>...</td>\n",
       "      <td>-83.807</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-90.092</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-12 16:30:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>83.807</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-90.092</td>\n",
       "      <td>...</td>\n",
       "      <td>-83.807</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-90.092</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-12 17:00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>83.807</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-90.092</td>\n",
       "      <td>...</td>\n",
       "      <td>-83.807</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-90.092</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Unnamed: 2  Unnamed: 3  Unnamed: 4  Unnamed: 5  \\\n",
       "datetime                                                              \n",
       "2020-05-12 15:00:00         NaN         NaN         NaN         NaN   \n",
       "2020-05-12 15:30:00         NaN         NaN         NaN         NaN   \n",
       "2020-05-12 16:00:00         NaN         NaN      83.807         NaN   \n",
       "2020-05-12 16:30:00         NaN         NaN      83.807         NaN   \n",
       "2020-05-12 17:00:00         NaN         NaN      83.807         NaN   \n",
       "\n",
       "                     Unnamed: 6  Unnamed: 7  Unnamed: 8  Unnamed: 9  \\\n",
       "datetime                                                              \n",
       "2020-05-12 15:00:00         NaN         NaN         NaN         NaN   \n",
       "2020-05-12 15:30:00         NaN         NaN         NaN         NaN   \n",
       "2020-05-12 16:00:00         NaN         NaN         NaN         NaN   \n",
       "2020-05-12 16:30:00         NaN         NaN         NaN         NaN   \n",
       "2020-05-12 17:00:00         NaN         NaN         NaN         NaN   \n",
       "\n",
       "                     Unnamed: 10  Unnamed: 11  ...  block6  Unnamed: 17  \\\n",
       "datetime                                       ...                        \n",
       "2020-05-12 15:00:00          NaN      -89.930  ...     NaN          NaN   \n",
       "2020-05-12 15:30:00          NaN      -89.930  ...     NaN          NaN   \n",
       "2020-05-12 16:00:00          NaN      -90.092  ... -83.807          NaN   \n",
       "2020-05-12 16:30:00          NaN      -90.092  ... -83.807          NaN   \n",
       "2020-05-12 17:00:00          NaN      -90.092  ... -83.807          NaN   \n",
       "\n",
       "                     Unnamed: 18  Unnamed: 19  Unnamed: 20  Unnamed: 21  \\\n",
       "datetime                                                                  \n",
       "2020-05-12 15:00:00          NaN          NaN          NaN          NaN   \n",
       "2020-05-12 15:30:00          NaN          NaN          NaN          NaN   \n",
       "2020-05-12 16:00:00          NaN          NaN          NaN          NaN   \n",
       "2020-05-12 16:30:00          NaN          NaN          NaN          NaN   \n",
       "2020-05-12 17:00:00          NaN          NaN          NaN          NaN   \n",
       "\n",
       "                     Unnamed: 22  Unnamed: 23  Unnamed: 24  Unnamed: 25  \n",
       "datetime                                                                 \n",
       "2020-05-12 15:00:00          NaN      -89.930          NaN          NaN  \n",
       "2020-05-12 15:30:00          NaN      -89.930          NaN          NaN  \n",
       "2020-05-12 16:00:00          NaN      -90.092          NaN          NaN  \n",
       "2020-05-12 16:30:00          NaN      -90.092          NaN          NaN  \n",
       "2020-05-12 17:00:00          NaN      -90.092          NaN          NaN  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wtd.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "ind_wtd_in_all = wtd.index.get_indexer(time_all, method='nearest')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "for key in biomet.keys():\n",
    "    temp_var = np.zeros((df_all.shape[0],))*np.nan\n",
    "    temp_var[ind_biomet_in_all] = biomet[key].values\n",
    "    xr_all[key] = (\"time\", temp_var)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Unnamed: 2', 'Unnamed: 3', 'Unnamed: 4', 'Unnamed: 5', 'Unnamed: 6',\n",
       "       'Unnamed: 7', 'Unnamed: 8', 'Unnamed: 9', 'Unnamed: 10', 'Unnamed: 11',\n",
       "       'Unnamed: 12', 'Unnamed: 13', 'block3', 'cc_ac', 'block6',\n",
       "       'Unnamed: 17', 'Unnamed: 18', 'Unnamed: 19', 'Unnamed: 20',\n",
       "       'Unnamed: 21', 'Unnamed: 22', 'Unnamed: 23', 'Unnamed: 24',\n",
       "       'Unnamed: 25'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wtd.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "wtd_data = wtd.iloc[ind_wtd_in_all, :].loc[:, ['block6', 'block3', 'cc_ac']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "wtd_data = wtd_data.rename(columns={'cc_ac': 'wtd_automatic_chambers','block6': 'wtd_odyssey_block6', 'block3': 'wtd_odyssey_block3'})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Interpolate WTD data. Note that this means that starting 29.7.2022 the data is the same number -32.1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "for col in wtd_data.columns: \n",
    "\n",
    "    xr_all[col] = ([\"time\"], wtd_data.loc[:, col].to_numpy(),{'description':  f'WTD from odyssey logger (cm below soil surface)', 'unit': 'cm'})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Continuous soil T and moisture"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "wtd_helena = pd.read_excel(f'{ONEDRIVE_FOLDER}/continuous_soil_T_moisture/cc_site_environmental_data_Helena.xlsx', header=0, index_col='datetime')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>T5_cc</th>\n",
       "      <th>sm5_cc</th>\n",
       "      <th>wtl_block3_cc</th>\n",
       "      <th>wtl_block6_cc</th>\n",
       "      <th>precipitation_mm</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datetime</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-08-28 00:00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-08-28 00:30:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-08-28 01:00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-08-28 01:30:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-08-28 02:00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-07-31 21:30:00</th>\n",
       "      <td>15.74583</td>\n",
       "      <td>0.275949</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-07-31 22:00:00</th>\n",
       "      <td>15.45606</td>\n",
       "      <td>0.275949</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-07-31 22:30:00</th>\n",
       "      <td>15.13506</td>\n",
       "      <td>0.275949</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-07-31 23:00:00</th>\n",
       "      <td>14.84083</td>\n",
       "      <td>0.275949</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-07-31 23:30:00</th>\n",
       "      <td>14.52933</td>\n",
       "      <td>0.275949</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>68832 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        T5_cc    sm5_cc  wtl_block3_cc  wtl_block6_cc  \\\n",
       "datetime                                                                \n",
       "2019-08-28 00:00:00       NaN       NaN            NaN            NaN   \n",
       "2019-08-28 00:30:00       NaN       NaN            NaN            NaN   \n",
       "2019-08-28 01:00:00       NaN       NaN            NaN            NaN   \n",
       "2019-08-28 01:30:00       NaN       NaN            NaN            NaN   \n",
       "2019-08-28 02:00:00       NaN       NaN            NaN            NaN   \n",
       "...                       ...       ...            ...            ...   \n",
       "2023-07-31 21:30:00  15.74583  0.275949            NaN            NaN   \n",
       "2023-07-31 22:00:00  15.45606  0.275949            NaN            NaN   \n",
       "2023-07-31 22:30:00  15.13506  0.275949            NaN            NaN   \n",
       "2023-07-31 23:00:00  14.84083  0.275949            NaN            NaN   \n",
       "2023-07-31 23:30:00  14.52933  0.275949            NaN            NaN   \n",
       "\n",
       "                     precipitation_mm  \n",
       "datetime                               \n",
       "2019-08-28 00:00:00               NaN  \n",
       "2019-08-28 00:30:00               NaN  \n",
       "2019-08-28 01:00:00               NaN  \n",
       "2019-08-28 01:30:00               NaN  \n",
       "2019-08-28 02:00:00               NaN  \n",
       "...                               ...  \n",
       "2023-07-31 21:30:00               0.0  \n",
       "2023-07-31 22:00:00               0.0  \n",
       "2023-07-31 22:30:00               0.0  \n",
       "2023-07-31 23:00:00               0.0  \n",
       "2023-07-31 23:30:00               0.0  \n",
       "\n",
       "[68832 rows x 5 columns]"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wtd_helena"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "wtd_helena_ind_in_all = wtd_helena.index.get_indexer(time_all, method='nearest')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "soil_moisture = wtd_helena.iloc[wtd_helena_ind_in_all, :]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>T5_cc</th>\n",
       "      <th>sm5_cc</th>\n",
       "      <th>wtl_block3_cc</th>\n",
       "      <th>wtl_block6_cc</th>\n",
       "      <th>precipitation_mm</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datetime</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-11-24 00:00:00</th>\n",
       "      <td>-0.055222</td>\n",
       "      <td>0.32</td>\n",
       "      <td>-7.000000</td>\n",
       "      <td>-27.325000</td>\n",
       "      <td>0.08</td>\n",
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       "    <tr>\n",
       "      <th>2021-11-24 00:30:00</th>\n",
       "      <td>-0.043907</td>\n",
       "      <td>0.32</td>\n",
       "      <td>-7.008333</td>\n",
       "      <td>-27.347917</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-11-24 01:00:00</th>\n",
       "      <td>-0.036000</td>\n",
       "      <td>0.32</td>\n",
       "      <td>-7.016667</td>\n",
       "      <td>-27.370833</td>\n",
       "      <td>0.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-11-24 01:30:00</th>\n",
       "      <td>-0.030167</td>\n",
       "      <td>0.32</td>\n",
       "      <td>-7.025000</td>\n",
       "      <td>-27.393750</td>\n",
       "      <td>0.00</td>\n",
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       "    <tr>\n",
       "      <th>2021-11-24 02:00:00</th>\n",
       "      <td>-0.025611</td>\n",
       "      <td>0.32</td>\n",
       "      <td>-7.033333</td>\n",
       "      <td>-27.416667</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        T5_cc  sm5_cc  wtl_block3_cc  wtl_block6_cc  \\\n",
       "datetime                                                              \n",
       "2021-11-24 00:00:00 -0.055222    0.32      -7.000000     -27.325000   \n",
       "2021-11-24 00:30:00 -0.043907    0.32      -7.008333     -27.347917   \n",
       "2021-11-24 01:00:00 -0.036000    0.32      -7.016667     -27.370833   \n",
       "2021-11-24 01:30:00 -0.030167    0.32      -7.025000     -27.393750   \n",
       "2021-11-24 02:00:00 -0.025611    0.32      -7.033333     -27.416667   \n",
       "\n",
       "                     precipitation_mm  \n",
       "datetime                               \n",
       "2021-11-24 00:00:00              0.08  \n",
       "2021-11-24 00:30:00              0.00  \n",
       "2021-11-24 01:00:00              0.07  \n",
       "2021-11-24 01:30:00              0.00  \n",
       "2021-11-24 02:00:00              0.00  "
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "soil_moisture.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "descriptions = [{'description':  'Soil temperature at 5 cm below surface from automated chambers', 'unit': 'C'},\n",
    "                {'description':  'Soil moisture at 5 cm below surface from automated chambers', 'unit': 'm3m-3'},\n",
    "                {'description':  'WTD from block 3 odyssey loggers from Helena Rautakoski', 'unit': 'cm'},\n",
    "                {'description':  'WTD from block 6 odyssey loggers from Helena Rautakoski', 'unit': 'cm'},\n",
    "                {'description':  'Precipitation from tower at clearcut site', 'unit': 'mm'}\n",
    "                ]\n",
    "\n",
    "var_names = ['T_soil_ac','soil_moisture_ac','wtd_helena_block_3', 'wtd_helena_block_6','precipitation']\n",
    "for i,col in enumerate(soil_moisture.columns):\n",
    "    xr_all[var_names[i]] = ([\"time\"], soil_moisture.loc[:, col], descriptions[i])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## TOMST soil T and moisture"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "def tomst_date_parser(x):\n",
    "    # Date in tomst format is\n",
    "    # 2021-10-01T00:00:00Z\n",
    "    date = datetime.strptime(x, r'%Y-%m-%dT%H:%M:%SZ')\n",
    "\n",
    "    return date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/_7/7fgf24sd5ggbyr5x9kzrwz7c0000gn/T/ipykernel_18766/1193253790.py:1: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n",
      "  wtd = pd.read_excel(f'{ONEDRIVE_FOLDER}/WTD/ranskalankorpi_odyssey_data/Odyssey_wt-data_ranskalankorpi_2020-05-12_2023-04-27.xlsx', skiprows=4, header=0, parse_dates={'datetime': ['Date','Time']}, date_parser= lambda x: date_parser_wtd(x), index_col='datetime')\n"
     ]
    }
   ],
   "source": [
    "wtd = pd.read_excel(f'{ONEDRIVE_FOLDER}/WTD/ranskalankorpi_odyssey_data/Odyssey_wt-data_ranskalankorpi_2020-05-12_2023-04-27.xlsx', skiprows=4, header=0, parse_dates={'datetime': ['Date','Time']}, date_parser= lambda x: date_parser_wtd(x), index_col='datetime')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/_7/7fgf24sd5ggbyr5x9kzrwz7c0000gn/T/ipykernel_18766/4169120506.py:1: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n",
      "  tomst = pd.read_csv(f'{ONEDRIVE_FOLDER}/continuous_soil_T_moisture/aggregateData_30min.csv', parse_dates = {'datetime': ['time_30min']}, date_parser=lambda x: tomst_date_parser(x), index_col='datetime')\n"
     ]
    }
   ],
   "source": [
    "tomst = pd.read_csv(f'{ONEDRIVE_FOLDER}/continuous_soil_T_moisture/aggregateData_30min.csv', parse_dates = {'datetime': ['time_30min']}, date_parser=lambda x: tomst_date_parser(x), index_col='datetime')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "tomst = tomst.query('Canopy_treatment == \"clearcut\" and Disturbance_treatment == \"Control\"')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "tomst['Plot'] = tomst['Plot'].astype(np.int32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>Plot</th>\n",
       "      <th>Canopy_treatment</th>\n",
       "      <th>Disturbance_treatment</th>\n",
       "      <th>T1_soil</th>\n",
       "      <th>T2_surface</th>\n",
       "      <th>T3_air</th>\n",
       "      <th>moist</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datetime</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-10-01 00:00:00</th>\n",
       "      <td>2021-10-01</td>\n",
       "      <td>2</td>\n",
       "      <td>clearcut</td>\n",
       "      <td>Control</td>\n",
       "      <td>7.94</td>\n",
       "      <td>6.12</td>\n",
       "      <td>5.88</td>\n",
       "      <td>55.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-10-01 00:30:00</th>\n",
       "      <td>2021-10-01</td>\n",
       "      <td>2</td>\n",
       "      <td>clearcut</td>\n",
       "      <td>Control</td>\n",
       "      <td>7.91</td>\n",
       "      <td>5.84</td>\n",
       "      <td>5.34</td>\n",
       "      <td>55.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-10-01 01:00:00</th>\n",
       "      <td>2021-10-01</td>\n",
       "      <td>2</td>\n",
       "      <td>clearcut</td>\n",
       "      <td>Control</td>\n",
       "      <td>7.88</td>\n",
       "      <td>4.81</td>\n",
       "      <td>3.53</td>\n",
       "      <td>55.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-10-01 01:30:00</th>\n",
       "      <td>2021-10-01</td>\n",
       "      <td>2</td>\n",
       "      <td>clearcut</td>\n",
       "      <td>Control</td>\n",
       "      <td>7.88</td>\n",
       "      <td>4.00</td>\n",
       "      <td>2.62</td>\n",
       "      <td>55.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-10-01 02:00:00</th>\n",
       "      <td>2021-10-01</td>\n",
       "      <td>2</td>\n",
       "      <td>clearcut</td>\n",
       "      <td>Control</td>\n",
       "      <td>7.84</td>\n",
       "      <td>3.81</td>\n",
       "      <td>2.91</td>\n",
       "      <td>55.45</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           date  Plot Canopy_treatment Disturbance_treatment  \\\n",
       "datetime                                                                       \n",
       "2021-10-01 00:00:00  2021-10-01     2         clearcut               Control   \n",
       "2021-10-01 00:30:00  2021-10-01     2         clearcut               Control   \n",
       "2021-10-01 01:00:00  2021-10-01     2         clearcut               Control   \n",
       "2021-10-01 01:30:00  2021-10-01     2         clearcut               Control   \n",
       "2021-10-01 02:00:00  2021-10-01     2         clearcut               Control   \n",
       "\n",
       "                     T1_soil  T2_surface  T3_air  moist  \n",
       "datetime                                                 \n",
       "2021-10-01 00:00:00     7.94        6.12    5.88  55.40  \n",
       "2021-10-01 00:30:00     7.91        5.84    5.34  55.40  \n",
       "2021-10-01 01:00:00     7.88        4.81    3.53  55.40  \n",
       "2021-10-01 01:30:00     7.88        4.00    2.62  55.40  \n",
       "2021-10-01 02:00:00     7.84        3.81    2.91  55.45  "
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tomst.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2, 3, 4], dtype=int32)"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tomst.Plot.unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Loop through the plots and add to dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "for plot in tomst.Plot.unique():\n",
    "    tomst_temp = tomst.query(f'Plot == {plot}')\n",
    "    tomst_temp = tomst_temp.assign(row_number = np.arange(tomst_temp.shape[0]))\n",
    "    tomst_temp = tomst_temp.loc[tomst_temp.row_number % 49 != 0]\n",
    "    ind = tomst_temp.index.get_indexer(time_all, method='nearest')\n",
    "    tomst_temp = tomst_temp.iloc[ind, :].loc[:, ['T1_soil','T2_surface','T3_air','moist']]\n",
    "    tomst_temp = tomst_temp.rename(columns={'T1_soil':'T_soil_tomst', 'T2_surface':'T_surface_tomst','T3_air': 'T_air_tomst', 'moist': 'soil_moisture_tomst'})\n",
    "\n",
    "    start_desc = ['Soil temperature at 6 cm below surface Tomst','Surface temperature Tomst','Air temperature Tomst','Soil moisture Tomst']\n",
    "    units = ['C','C','C','cm m-1']\n",
    "\n",
    "    for i,column in enumerate(tomst_temp.columns):\n",
    "        # name the new dataarray\n",
    "        data_name = f'{column}_plot_{plot}'\n",
    "        desc_temp = start_desc[i] + f' plot {plot}' \n",
    "        xr_all[data_name] = (['time'], tomst_temp.loc[:, column].to_numpy(), {'Description': desc_temp, 'unit': units[i]})\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Save the created array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "#xr_all.to_netcdf(f'{ONEDRIVE_FOLDER}/ec_biomet_wtd_2021_2022_footprints_nan_all_times.nc', format='NETCDF4')\n",
    "xr_all.to_netcdf(f'{ONEDRIVE_FOLDER}/ec_biomet_wtd_2022_20240607.nc', format='NETCDF4')"
   ]
  }
 ],
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