{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Example 1: Basic usage\n",
    "\n",
    "\n",
    "Fisrt of all, we need to install Docker/Docker Desktop.\n",
    "\n",
    "- [How to install Docker on Linux?](https://envdes.github.io/clmu-app/container/install_docker.html)\n",
    "- [How to install Docker Desktop](https://www.docker.com/products/docker-desktop/)\n",
    "  \n",
    "Platform: arm64/amd64\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyclmuapp import usp_clmu\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "Here we use the `RUN_TYPE= \"branch\"` to avoid the repeated spinup phases.\n",
    "\n",
    "The case (`usp_spinup`) is run for 10 years to spinup the model.\n",
    "\n",
    "How to get `usp_spinup` ?\n",
    "\n",
    "```python\n",
    "usp_spinup = usp.run(\n",
    "            case_name = \"usp_spinup\", \n",
    "            SURF=\"surfdata.nc\",\n",
    "            FORCING=\"forcing.nc\",\n",
    "            RUN_STARTDATE = \"2002-01-01\",\n",
    "            STOP_OPTION = \"nyears\", \n",
    "            STOP_N = \"10\",\n",
    "            RUN_TYPE= \"coldstart\",\n",
    "        )\n",
    "usp_spinup\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Copying the file forcing.nc to the /Users/user/Documents/GitHub/pyclmuapp/docs/notebooks/usp/workdir/inputfolder/usp\n",
      "CPU times: user 1.16 s, sys: 328 ms, total: 1.49 s\n",
      "Wall time: 3min 36s\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['/Users/user/Documents/GitHub/pyclmuapp/docs/notebooks/usp/workdir/outputfolder/lnd/hist/example1_clm0_2024-11-23_14-53-19_clm.nc',\n",
       " '/Users/user/Documents/GitHub/pyclmuapp/docs/notebooks/usp/workdir/outputfolder/lnd/hist/example1_clm1_2024-11-23_14-53-19_clm.nc']"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "# initialize\n",
    "usp = usp_clmu()\n",
    "usp_london = usp.run(\n",
    "            case_name = \"example1\", \n",
    "            SURF=\"surfdata.nc\",\n",
    "            FORCING=\"forcing.nc\",\n",
    "            RUN_STARTDATE = \"2012-01-01\",\n",
    "            STOP_OPTION = \"nyears\", \n",
    "            STOP_N = \"2\",\n",
    "            RUN_TYPE= \"branch\",\n",
    "            RUN_REFCASE= \"usp_spinup\", # the case name of the spinup run\n",
    "            RUN_REFDATE= \"2012-01-01\",\n",
    "            hist_type = \"'GRID','COLS'\", # output type\n",
    "        )\n",
    "usp_london"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "**Plotting**\n",
    "\n",
    "Note: ploting with time will need the `nc-time-axis` package, which can be installed by `pip install nc-time-axis` or `conda install nc-time-axis`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1.92 s, sys: 512 ms, total: 2.44 s\n",
      "Wall time: 3.32 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "ds_usp=usp.nc_view(usp_london[1]).isel(time=slice(2, None))\n",
    "#ds_usp['time'] = ds_usp['time'].dt.round('min')\n",
    "ds_usp_hour = ds_usp['TSA'].isel(gridcell=0).groupby('time.hour')\n",
    "mean_tsa = ds_usp_hour.mean('time')\n",
    "var_tsa = ds_usp_hour.var('time')\n",
    "\n",
    "ds_usp_hour = ds_usp['TBOT'].isel(gridcell=0).groupby('time.hour')\n",
    "mean_tbot = ds_usp_hour.mean('time')\n",
    "var_tbot = ds_usp_hour.var('time')\n",
    "\n",
    "fig = plt.figure(figsize=(6, 5))\n",
    "\n",
    "ax = fig.add_subplot(211)\n",
    "ds_usp['TSA'].isel(gridcell=0).plot(ax=ax, label='TSA', color='#E02927')#[\"#E02927\",\"#3964DF\"]\n",
    "ds_usp['TBOT'].isel(gridcell=0).plot(ax=ax, label='Tair', color='#3964DF')\n",
    "\n",
    "ax.set_xlabel('Time', fontsize=14)\n",
    "ax.set_ylabel('Temperature [K]', fontsize=14)\n",
    "ax.set_title('a', loc='left', fontweight='bold')\n",
    "ax.tick_params(axis='both', which='major', labelsize=12)\n",
    "ax.legend(frameon=False, fontsize=12)\n",
    "\n",
    "ax = fig.add_subplot(212)\n",
    "mean_tsa.plot(ax=ax, label='TSA', color='#E02927')\n",
    "mean_tbot.plot(ax=ax, label='Tair', color='#3964DF')\n",
    "ax.set_xlabel('Local hour of day', fontsize=14)\n",
    "ax.set_ylabel('Temperature [K]', fontsize=14)\n",
    "ax.set_title('b', loc='left', fontweight='bold')\n",
    "ax.tick_params(axis='both', which='major', labelsize=12)\n",
    "ax.legend(frameon=False, fontsize=12)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('figs/exp1_usp.pdf', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "notebookRunGroups": {
     "groupValue": "2"
    }
   },
   "source": [
    "**plot other urban variables**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**radiation balance**\n",
    "$$Rnet(Q\\text{*})=SWdown-SWup+LWdown-LWup$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12, 5))\n",
    "\n",
    "axs = fig.subplots(2, 2)\n",
    "\n",
    "ds_usp_h = ds_usp[['Rnet','SWdown','SWup','LWdown','LWup']].isel(gridcell=0).groupby('time.hour')\n",
    "h = ds_usp_h.mean('time')\n",
    "color_list = [\"#AE02DE\", \"#65D8DF\",\"#E02927\",\"#E0C645\",\"#3964DF\"]\n",
    "\n",
    "ds_usp_month = ds_usp[['Rnet','SWdown','SWup','LWdown','LWup']].isel(gridcell=0).groupby('time.month')\n",
    "m = ds_usp_month.mean('time')\n",
    "\n",
    "for i, var in enumerate(['Rnet','SWdown','SWup','LWdown','LWup']):\n",
    "    if var == 'Rnet':\n",
    "        label = 'Q*'\n",
    "    else:\n",
    "        label = var\n",
    "    ds_usp[var].plot(ax=axs[0,0], label=label, color=color_list[i])\n",
    "    m[var].plot(ax=axs[1,0], label=label, color=color_list[i], marker='o')\n",
    "    h[var].plot(ax=axs[0,1], label=label, color=color_list[i], marker='o')\n",
    "\n",
    "(ds_usp['Rnet'] - ds_usp['SWdown'] - ds_usp['LWdown']  + ds_usp['SWup'] + ds_usp['LWup'] ).plot(ax=axs[1,1], color='#3964DF')\n",
    "\n",
    "xlabels = ['Time', 'Local hour of day', 'Month of year', 'Time']\n",
    "ylabels = ['Flux [W/m$\\mathrm{^{2}}$]', 'Flux [W/m$\\mathrm{^{2}}$]', 'Flux [W/m$\\mathrm{^{2}}$]', 'Residual [W/m$\\mathrm{^{2}}$]']\n",
    "titles = ['a', 'b', 'c', 'd']\n",
    "for ax in axs.flat:\n",
    "    ax.set_xlabel(xlabels.pop(0), fontsize=14)\n",
    "    ax.set_ylabel(ylabels.pop(0), fontsize=14)\n",
    "    ax.set_title(titles.pop(0), loc='left', fontweight='bold', fontsize=14)\n",
    "    ax.tick_params(axis='both', which='major', labelsize=12)\n",
    "axs[1,1].set_ylim(-5,5)\n",
    "fig.legend(['Q*','SWdown','SWup','LWdown','LWup'], \n",
    "           loc=\"upper center\", frameon=False, ncol=5, \n",
    "           bbox_to_anchor=(0.5, 1.05), fontsize=12)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('figs/exp1_usp_rad.pdf', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**energy balance**\n",
    "$$Q\\text{*} + Qanth=Qle+Qh+Qstor$$\n",
    "$$Q\\text{*}=Rnet$$\n",
    "$$Qanth=WASTEHEAT+URBAN_HEAT$$\n",
    "$$Qstor=FGR+URBAN_HEAT-URBAN_AC$$\n",
    "\n",
    "- Qanth: anthropogenic heat flux\n",
    "- Qle: latent heat flux\n",
    "- Qh: sensible heat flux\n",
    "- Qstor: storage heat flux\n",
    "- WASTEHEAT: wasteheat flux from heating and air conditioning flux\n",
    "- URBAN_HEAT: urban heating flux\n",
    "- URBAN_AC: heat flux from urban air conditioning "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12, 5))\n",
    "\n",
    "axs = fig.subplots(2, 2)\n",
    "\n",
    "#ds_usp['Qanth'] = ds_usp['URBAN_HEAT'] + ds_usp['WASTEHEAT'] - ds_usp['EFLXBUILD']\n",
    "ds_usp['Qanth'] = ds_usp['WASTEHEAT'] + ds_usp['URBAN_HEAT']\n",
    "ds_usp['Qstor'] = ds_usp['FGR'] + ds_usp['URBAN_HEAT'] - ds_usp['URBAN_AC']\n",
    "ds_usp_h = ds_usp[['Rnet','Qle', 'Qh', 'Qstor','Qanth']].isel(gridcell=0).groupby('time.hour')\n",
    "h = ds_usp_h.mean('time')\n",
    "color_list = [\"#AE02DE\", \"#65D8DF\",\"#E02927\",\"#E0C645\",\"#3964DF\"]\n",
    "\n",
    "ds_usp_month = ds_usp[['Rnet','Qanth','Qle', 'Qh', 'Qstor']].isel(gridcell=0).groupby('time.month')\n",
    "m = ds_usp_month.mean('time')\n",
    "\n",
    "for i, var in enumerate(['Rnet','Qanth','Qle', 'Qh', 'Qstor']):\n",
    "    if var == 'Rnet':\n",
    "        label = 'Q*'\n",
    "    else:\n",
    "        label = var\n",
    "    ds_usp[var].plot(ax=axs[0,0], label=label, color=color_list[i])\n",
    "    m[var].plot(ax=axs[1,0], label=label, color=color_list[i], marker='o')\n",
    "    h[var].plot(ax=axs[0,1], label=label, color=color_list[i], marker='o')\n",
    "\n",
    "(ds_usp['Rnet']+ds_usp['Qanth'] - ds_usp['Qle'] - ds_usp['Qh'] - ds_usp['Qstor']).plot(ax=axs[1,1], color='#3964DF')\n",
    "\n",
    "xlabels = ['Time', 'Local hour of day', 'Month of year', 'Time']\n",
    "ylabels = ['Flux [W/m$\\mathrm{^{2}}$]', 'Flux [W/m$\\mathrm{^{2}}$]', 'Flux [W/m$\\mathrm{^{2}}$]', 'Residual [W/m$\\mathrm{^{2}}$]']\n",
    "titles = ['a', 'b', 'c', 'd']\n",
    "for ax in axs.flat:\n",
    "    ax.set_xlabel(xlabels.pop(0), fontsize=14)\n",
    "    ax.set_ylabel(ylabels.pop(0), fontsize=14)\n",
    "    ax.set_title(titles.pop(0), loc='left', fontweight='bold', fontsize=14)\n",
    "    ax.tick_params(axis='both', which='major', labelsize=12)\n",
    "axs[1,1].set_ylim(-1,1)\n",
    "fig.legend(['Q*','Qanth','Qle','Qh','Qstor'], loc='upper center', frameon=False, ncol=5, bbox_to_anchor=(0.5, 1.05), fontsize=12)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('figs/exp1_usp_energy.pdf', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**buiding energy consumption**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(6, 5))\n",
    "ax = fig.add_subplot(211)\n",
    "color_list = [\"#AE02DE\",\"#E02927\",\"#3964DF\"]\n",
    "tot = ds_usp.sel(gridcell=0)\n",
    "tot['TOTQANTH'] = tot['URBAN_HEAT'] + tot['WASTEHEAT']\n",
    "tot = tot[['URBAN_HEAT','URBAN_AC','WASTEHEAT', 'TOTQANTH']].groupby('time.month').mean('time')\n",
    "tot['URBAN_HEAT'].plot(ax=ax, label='Urban heating', marker='o', color=color_list.pop(0))\n",
    "tot['URBAN_AC'].plot(ax=ax, label='Urban air conditioning', marker='o', color=color_list.pop(0))\n",
    "tot['WASTEHEAT'].plot(ax=ax, label='Waste heat', marker='o', color=color_list.pop(0))\n",
    "tot['TOTQANTH'].plot(ax=ax, label='Anthropogenic heat', marker='o', color='#E0C645')\n",
    "ax.set_xlabel('Month of year', fontsize=14)\n",
    "ax.set_ylabel('Heat flux [W/m$\\mathrm{^{2}}$]', fontsize=14)\n",
    "ax.set_title('a', loc='left', fontweight='bold', fontsize=14)\n",
    "ax.tick_params(axis='both', which='major', labelsize=12)\n",
    "ax.legend(frameon=False, fontsize=11, loc=(0.35,0.45))\n",
    "\n",
    "ax = fig.add_subplot(212)\n",
    "tot = ds_usp.sel(gridcell=0)['TBUILD'].groupby('time.month').mean('time').plot(ax=ax, marker='o')\n",
    "ax.set_xlabel('Month of year', fontsize=14)\n",
    "ax.set_ylabel('Internal building\\nair temperature [K]', fontsize=14)\n",
    "ax.tick_params(axis='both', which='major', labelsize=12)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('figs/exp1_usp_urban_bem.pdf', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**column level temperature**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
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       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
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       "\n",
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       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 134MB\n",
       "Dimensions:             (levgrnd: 25, levlak: 10, levdcmp: 1, time: 35086,\n",
       "                         hist_interval: 2, lndgrid: 1, gridcell: 1,\n",
       "                         landunit: 2, column: 6, pft: 6, levsoi: 20)\n",
       "Coordinates:\n",
       "  * levgrnd             (levgrnd) float32 100B 0.01 0.04 0.09 ... 28.87 42.0\n",
       "  * levlak              (levlak) float32 40B 0.05 0.6 2.1 ... 25.6 34.33 44.78\n",
       "  * levdcmp             (levdcmp) float32 4B 1.0\n",
       "  * time                (time) datetime64[ns] 281kB 2012-01-01T01:30:00 ... 2...\n",
       "Dimensions without coordinates: hist_interval, lndgrid, gridcell, landunit,\n",
       "                                column, pft, levsoi\n",
       "Data variables: (12/121)\n",
       "    mcdate              (time) int32 140kB ...\n",
       "    mcsec               (time) int32 140kB ...\n",
       "    mdcur               (time) int32 140kB ...\n",
       "    mscur               (time) int32 140kB ...\n",
       "    nstep               (time) int32 140kB ...\n",
       "    time_bounds         (time, hist_interval) datetime64[ns] 561kB ...\n",
       "    ...                  ...\n",
       "    URBAN_AC            (time, column) float32 842kB ...\n",
       "    URBAN_HEAT          (time, column) float32 842kB ...\n",
       "    WASTEHEAT           (time, column) float32 842kB ...\n",
       "    WBT                 (time, column) float32 842kB ...\n",
       "    Wind                (time, column) float32 842kB ...\n",
       "    ZWT                 (time, column) float32 842kB ...\n",
       "Attributes: (12/40)\n",
       "    title:                                     CLM History file information\n",
       "    comment:                                   NOTE: None of the variables ar...\n",
       "    Conventions:                               CF-1.0\n",
       "    history:                                   created on 11/23/24 14:50:56\n",
       "    source:                                    Community Land Model CLM4.0\n",
       "    hostname:                                  clmu-app\n",
       "    ...                                        ...\n",
       "    ctype_urban_pervious_road:                 75\n",
       "    cft_c3_crop:                               1\n",
       "    cft_c3_irrigated:                          2\n",
       "    time_period_freq:                          minute_30\n",
       "    Time_constant_3Dvars_filename:             ./example1.clm2.h0.2012-01-01-...\n",
       "    Time_constant_3Dvars:                      ZSOI:DZSOI:WATSAT:SUCSAT:BSW:H...</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-a3d373c7-7170-4a67-b539-facb91345d36' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a3d373c7-7170-4a67-b539-facb91345d36' 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'>levgrnd</span>: 25</li><li><span class='xr-has-index'>levlak</span>: 10</li><li><span class='xr-has-index'>levdcmp</span>: 1</li><li><span class='xr-has-index'>time</span>: 35086</li><li><span>hist_interval</span>: 2</li><li><span>lndgrid</span>: 1</li><li><span>gridcell</span>: 1</li><li><span>landunit</span>: 2</li><li><span>column</span>: 6</li><li><span>pft</span>: 6</li><li><span>levsoi</span>: 20</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-50cf3a00-cf72-4f12-8025-c82534708ec9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-50cf3a00-cf72-4f12-8025-c82534708ec9' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>levgrnd</span></div><div class='xr-var-dims'>(levgrnd)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.01 0.04 0.09 ... 19.48 28.87 42.0</div><input id='attrs-7ab880ca-063e-4df5-9f20-48c5d8d3b739' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ab880ca-063e-4df5-9f20-48c5d8d3b739' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76354a9b-b767-4fe6-a2b1-e2ccdf5e1f88' class='xr-var-data-in' type='checkbox'><label for='data-76354a9b-b767-4fe6-a2b1-e2ccdf5e1f88' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>coordinate soil levels</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([1.000000e-02, 4.000000e-02, 9.000000e-02, 1.600000e-01, 2.600000e-01,\n",
       "       4.000000e-01, 5.800000e-01, 8.000000e-01, 1.060000e+00, 1.360000e+00,\n",
       "       1.700000e+00, 2.080000e+00, 2.500000e+00, 2.990000e+00, 3.580000e+00,\n",
       "       4.270000e+00, 5.060000e+00, 5.950000e+00, 6.940000e+00, 8.030000e+00,\n",
       "       9.795000e+00, 1.332777e+01, 1.948313e+01, 2.887072e+01, 4.199844e+01],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>levlak</span></div><div class='xr-var-dims'>(levlak)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.05 0.6 2.1 ... 25.6 34.33 44.78</div><input id='attrs-ea1e8e0f-14ed-4258-80a7-ceda259b506b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea1e8e0f-14ed-4258-80a7-ceda259b506b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-579a8ec3-102b-4123-8fbe-d771c400c0fc' class='xr-var-data-in' type='checkbox'><label for='data-579a8ec3-102b-4123-8fbe-d771c400c0fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>coordinate lake levels</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([ 0.05 ,  0.6  ,  2.1  ,  4.6  ,  8.1  , 12.6  , 18.6  , 25.6  , 34.325,\n",
       "       44.775], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>levdcmp</span></div><div class='xr-var-dims'>(levdcmp)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.0</div><input id='attrs-385e7fae-eb78-4de6-9fe1-3b802b5bfb75' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-385e7fae-eb78-4de6-9fe1-3b802b5bfb75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88bacd87-c011-45fa-aa05-1af3e6f71e83' class='xr-var-data-in' type='checkbox'><label for='data-88bacd87-c011-45fa-aa05-1af3e6f71e83' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>coordinate soil levels</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([1.], dtype=float32)</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'>2012-01-01T01:30:00 ... 2014-01-01</div><input id='attrs-c59bdd12-feec-4b13-adea-9b1d6c82ef28' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c59bdd12-feec-4b13-adea-9b1d6c82ef28' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f943d1a6-53e8-4cde-8c28-2f409be95643' class='xr-var-data-in' type='checkbox'><label for='data-f943d1a6-53e8-4cde-8c28-2f409be95643' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bounds</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2012-01-01T01:30:00.000000000&#x27;, &#x27;2012-01-01T02:00:00.000000000&#x27;,\n",
       "       &#x27;2012-01-01T02:30:00.000000000&#x27;, ..., &#x27;2013-12-31T23:00:00.000000000&#x27;,\n",
       "       &#x27;2013-12-31T23:30:00.000000000&#x27;, &#x27;2014-01-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e52f13a6-e5fe-4511-8af2-2fdc181467d1' class='xr-section-summary-in' type='checkbox'  ><label for='section-e52f13a6-e5fe-4511-8af2-2fdc181467d1' class='xr-section-summary' >Data variables: <span>(121)</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>mcdate</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3f908545-a3fe-47b3-8eb3-30aac2697213' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f908545-a3fe-47b3-8eb3-30aac2697213' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c042470c-d49a-4df7-b063-c61a17b20ea4' class='xr-var-data-in' type='checkbox'><label for='data-c042470c-d49a-4df7-b063-c61a17b20ea4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current date (YYYYMMDD)</dd></dl></div><div class='xr-var-data'><pre>[35086 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mcsec</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ffc0bf56-5dd3-4509-9809-a02e79a6d356' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ffc0bf56-5dd3-4509-9809-a02e79a6d356' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69be34c3-5503-4d94-ba28-1836d2c8d418' class='xr-var-data-in' type='checkbox'><label for='data-69be34c3-5503-4d94-ba28-1836d2c8d418' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current seconds of current date</dd><dt><span>units :</span></dt><dd>s</dd></dl></div><div class='xr-var-data'><pre>[35086 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mdcur</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5a084f1b-0254-4162-951f-1be335f071f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a084f1b-0254-4162-951f-1be335f071f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42d605d7-0a75-4175-8b47-d967efbba8f9' class='xr-var-data-in' type='checkbox'><label for='data-42d605d7-0a75-4175-8b47-d967efbba8f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current day (from base day)</dd></dl></div><div class='xr-var-data'><pre>[35086 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mscur</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c5fc3f0b-be89-479f-aabc-f62d5cb8b531' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c5fc3f0b-be89-479f-aabc-f62d5cb8b531' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95a7d4c0-4e3a-482b-8bbb-efc11ed64edb' class='xr-var-data-in' type='checkbox'><label for='data-95a7d4c0-4e3a-482b-8bbb-efc11ed64edb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>current seconds of current day</dd></dl></div><div class='xr-var-data'><pre>[35086 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nstep</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0b153d10-9beb-4fbc-8279-cdc6241d3862' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b153d10-9beb-4fbc-8279-cdc6241d3862' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02bcca6e-15ff-45fe-9077-1747fbc6647b' class='xr-var-data-in' type='checkbox'><label for='data-02bcca6e-15ff-45fe-9077-1747fbc6647b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time step</dd></dl></div><div class='xr-var-data'><pre>[35086 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bounds</span></div><div class='xr-var-dims'>(time, hist_interval)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0ba22077-fbdd-49c1-998f-f779abda26a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ba22077-fbdd-49c1-998f-f779abda26a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2580d22e-5dfe-4aa3-9a92-1acefa07297d' class='xr-var-data-in' type='checkbox'><label for='data-2580d22e-5dfe-4aa3-9a92-1acefa07297d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>history time interval endpoints</dd></dl></div><div class='xr-var-data'><pre>[70172 values with dtype=datetime64[ns]]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>date_written</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>|S16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-631e3f29-9a76-43a2-bbce-2cb8d5d6d135' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-631e3f29-9a76-43a2-bbce-2cb8d5d6d135' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7974bc53-d5cd-4d71-992f-8bc306639751' class='xr-var-data-in' type='checkbox'><label for='data-7974bc53-d5cd-4d71-992f-8bc306639751' title='Show/Hide data 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>[35086 values with dtype=|S16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_written</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>|S16</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a02bdf1b-7024-4c9b-acb6-fe8d6f7dcc32' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a02bdf1b-7024-4c9b-acb6-fe8d6f7dcc32' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65a92b1d-b8dc-4b7e-becd-f1d42fd58679' class='xr-var-data-in' type='checkbox'><label for='data-65a92b1d-b8dc-4b7e-becd-f1d42fd58679' title='Show/Hide data 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>[35086 values with dtype=|S16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(lndgrid)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-51a88922-a545-48b7-814d-4374221d3a2c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51a88922-a545-48b7-814d-4374221d3a2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a4ed3a2-eb27-41b3-8475-282e502b29df' class='xr-var-data-in' type='checkbox'><label for='data-4a4ed3a2-eb27-41b3-8475-282e502b29df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>coordinate longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(lndgrid)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7a519415-0077-43b6-ae05-12a2ce6cbf65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a519415-0077-43b6-ae05-12a2ce6cbf65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2480b080-f9ab-474b-9890-2d39325258fa' class='xr-var-data-in' type='checkbox'><label for='data-2480b080-f9ab-474b-9890-2d39325258fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>coordinate latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>area</span></div><div class='xr-var-dims'>(lndgrid)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fd8fded0-bd8c-471d-ba8e-9bd03706a139' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd8fded0-bd8c-471d-ba8e-9bd03706a139' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d5c838d-26ff-4566-bed0-d13f14884b20' class='xr-var-data-in' type='checkbox'><label for='data-6d5c838d-26ff-4566-bed0-d13f14884b20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>grid cell areas</dd><dt><span>units :</span></dt><dd>km^2</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>landfrac</span></div><div class='xr-var-dims'>(lndgrid)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-97f660ba-2848-4347-9967-51a710416c27' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97f660ba-2848-4347-9967-51a710416c27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-452f0859-5026-449f-b0a8-44331df15f24' class='xr-var-data-in' type='checkbox'><label for='data-452f0859-5026-449f-b0a8-44331df15f24' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>land fraction</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>landmask</span></div><div class='xr-var-dims'>(lndgrid)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d2999afc-d62c-4a94-889a-dbaff6cb3b58' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2999afc-d62c-4a94-889a-dbaff6cb3b58' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a50fb09e-98d5-4466-8528-e38bf2453385' class='xr-var-data-in' type='checkbox'><label for='data-a50fb09e-98d5-4466-8528-e38bf2453385' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>land/ocean mask (0.=ocean and 1.=land)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pftmask</span></div><div class='xr-var-dims'>(lndgrid)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dcf51d33-7169-49bc-b044-e7dc75a302b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dcf51d33-7169-49bc-b044-e7dc75a302b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb3144f3-d3d3-4bee-85b0-e3ac0856b087' class='xr-var-data-in' type='checkbox'><label for='data-bb3144f3-d3d3-4bee-85b0-e3ac0856b087' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pft real/fake mask (0.=fake and 1.=real)</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nbedrock</span></div><div class='xr-var-dims'>(lndgrid)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ca0574e7-00a5-40b5-a4cd-7905941878e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca0574e7-00a5-40b5-a4cd-7905941878e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f9dbb76-0ec0-414b-aece-c5ff85ad968e' class='xr-var-data-in' type='checkbox'><label for='data-6f9dbb76-0ec0-414b-aece-c5ff85ad968e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>index of shallowest bedrock layer</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>grid1d_lon</span></div><div class='xr-var-dims'>(gridcell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-64d1ac8f-1cb8-4265-9d91-3246a0268dbc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64d1ac8f-1cb8-4265-9d91-3246a0268dbc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da374e0d-d600-4a2e-8eb5-dec5a5f8d7dc' class='xr-var-data-in' type='checkbox'><label for='data-da374e0d-d600-4a2e-8eb5-dec5a5f8d7dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>gridcell longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>grid1d_lat</span></div><div class='xr-var-dims'>(gridcell)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b51f54ec-45f4-4ad6-9eed-7c4f312c60a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b51f54ec-45f4-4ad6-9eed-7c4f312c60a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43b77864-197d-4ef3-a36e-1da56ca97db5' class='xr-var-data-in' type='checkbox'><label for='data-43b77864-197d-4ef3-a36e-1da56ca97db5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>gridcell latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>grid1d_ixy</span></div><div class='xr-var-dims'>(gridcell)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-77294340-6a4b-4d1f-8c79-302f4c791f34' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77294340-6a4b-4d1f-8c79-302f4c791f34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a155232e-ccba-4443-99c5-a249cffea4d9' class='xr-var-data-in' type='checkbox'><label for='data-a155232e-ccba-4443-99c5-a249cffea4d9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>2d longitude index of corresponding gridcell</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>grid1d_jxy</span></div><div class='xr-var-dims'>(gridcell)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-35aa6fa0-1cd8-45da-839e-62ac46d8d5f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-35aa6fa0-1cd8-45da-839e-62ac46d8d5f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7463642f-9560-44ec-95fc-0f7825b0e75a' class='xr-var-data-in' type='checkbox'><label for='data-7463642f-9560-44ec-95fc-0f7825b0e75a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>2d latitude index of corresponding gridcell</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>land1d_lon</span></div><div class='xr-var-dims'>(landunit)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-333090ba-eb80-41e8-bcce-a858c54a0ea7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-333090ba-eb80-41e8-bcce-a858c54a0ea7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5430eb79-3684-471e-9e53-176628235f00' class='xr-var-data-in' type='checkbox'><label for='data-5430eb79-3684-471e-9e53-176628235f00' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>landunit longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>[2 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>land1d_lat</span></div><div class='xr-var-dims'>(landunit)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-96319c31-0e7a-4564-bff3-6a735762a959' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-96319c31-0e7a-4564-bff3-6a735762a959' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ade87228-715d-4f8e-9bd9-ded8dc1ecacf' class='xr-var-data-in' type='checkbox'><label for='data-ade87228-715d-4f8e-9bd9-ded8dc1ecacf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>landunit latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[2 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>land1d_ixy</span></div><div class='xr-var-dims'>(landunit)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-efbab354-c460-4e1c-91f3-e83bdad88dbe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-efbab354-c460-4e1c-91f3-e83bdad88dbe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8cf894a-98db-426a-83b0-1ff587d120b4' class='xr-var-data-in' type='checkbox'><label for='data-d8cf894a-98db-426a-83b0-1ff587d120b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>2d longitude index of corresponding landunit</dd></dl></div><div class='xr-var-data'><pre>[2 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>land1d_jxy</span></div><div class='xr-var-dims'>(landunit)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c47a3db0-955e-4a90-8bff-ac82efb2cf59' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c47a3db0-955e-4a90-8bff-ac82efb2cf59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03c26d28-499a-4cb8-a304-10834b1a86c5' class='xr-var-data-in' type='checkbox'><label for='data-03c26d28-499a-4cb8-a304-10834b1a86c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>2d latitude index of corresponding landunit</dd></dl></div><div class='xr-var-data'><pre>[2 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>land1d_wtgcell</span></div><div class='xr-var-dims'>(landunit)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-43b6aa6b-edf1-4139-8f81-6ee7c8d24c2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-43b6aa6b-edf1-4139-8f81-6ee7c8d24c2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85c07110-d656-4def-9f8d-b5b266200080' class='xr-var-data-in' type='checkbox'><label for='data-85c07110-d656-4def-9f8d-b5b266200080' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>landunit weight relative to corresponding gridcell</dd></dl></div><div class='xr-var-data'><pre>[2 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>land1d_ityplunit</span></div><div class='xr-var-dims'>(landunit)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4c68727f-e196-49b9-ae8f-d6b1d739df7d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c68727f-e196-49b9-ae8f-d6b1d739df7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b87a8ab3-7c93-41a9-9761-8842b98ff08e' class='xr-var-data-in' type='checkbox'><label for='data-b87a8ab3-7c93-41a9-9761-8842b98ff08e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>landunit type (vegetated,urban,lake,wetland,glacier or glacier_mec)</dd></dl></div><div class='xr-var-data'><pre>[2 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>land1d_active</span></div><div class='xr-var-dims'>(landunit)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5efd7421-4325-4702-bbe3-ea88f4a093e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5efd7421-4325-4702-bbe3-ea88f4a093e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41920ca8-e194-4902-a541-93faae1ee974' class='xr-var-data-in' type='checkbox'><label for='data-41920ca8-e194-4902-a541-93faae1ee974' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>true =&gt; do computations on this landunit</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>FALSE TRUE</dd><dt><span>valid_range :</span></dt><dd>[0 1]</dd></dl></div><div class='xr-var-data'><pre>[2 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cols1d_lon</span></div><div class='xr-var-dims'>(column)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-698ce676-bbd8-434d-8544-3e9423b61ff4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-698ce676-bbd8-434d-8544-3e9423b61ff4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-043b0d18-c1c6-4d01-8d5d-7b213aa57961' class='xr-var-data-in' type='checkbox'><label for='data-043b0d18-c1c6-4d01-8d5d-7b213aa57961' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>column longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>[6 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cols1d_lat</span></div><div class='xr-var-dims'>(column)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1f461880-4073-4959-ad04-8ed05bd143c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f461880-4073-4959-ad04-8ed05bd143c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5d9823b-7e73-4933-a966-8753eaf0aeb4' class='xr-var-data-in' type='checkbox'><label for='data-d5d9823b-7e73-4933-a966-8753eaf0aeb4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>column latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[6 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cols1d_ixy</span></div><div class='xr-var-dims'>(column)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-19fbca97-ec53-4aab-94dd-81ffd99dab33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-19fbca97-ec53-4aab-94dd-81ffd99dab33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b3b78c9-f12b-4a9f-8dd6-efa7642d01ed' class='xr-var-data-in' type='checkbox'><label for='data-0b3b78c9-f12b-4a9f-8dd6-efa7642d01ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>2d longitude index of corresponding column</dd></dl></div><div class='xr-var-data'><pre>[6 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cols1d_jxy</span></div><div class='xr-var-dims'>(column)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ebb7a245-9bce-400f-b790-1251e99a50bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ebb7a245-9bce-400f-b790-1251e99a50bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2357d7ec-9b42-49ba-8748-d6688d0d6c97' class='xr-var-data-in' type='checkbox'><label for='data-2357d7ec-9b42-49ba-8748-d6688d0d6c97' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>2d latitude index of corresponding column</dd></dl></div><div class='xr-var-data'><pre>[6 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cols1d_wtgcell</span></div><div class='xr-var-dims'>(column)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0284f750-2bf1-4879-bcdf-59e803a0e1b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0284f750-2bf1-4879-bcdf-59e803a0e1b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cc0a90a-a369-44ed-a835-94503ae9f1ac' class='xr-var-data-in' type='checkbox'><label for='data-5cc0a90a-a369-44ed-a835-94503ae9f1ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>column weight relative to corresponding gridcell</dd></dl></div><div class='xr-var-data'><pre>[6 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cols1d_wtlunit</span></div><div class='xr-var-dims'>(column)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-163c493c-1c1b-488b-bbb5-4eebb1e46a08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-163c493c-1c1b-488b-bbb5-4eebb1e46a08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5a74e23-7932-442e-a403-f6ca9a901517' class='xr-var-data-in' type='checkbox'><label for='data-d5a74e23-7932-442e-a403-f6ca9a901517' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>column weight relative to corresponding landunit</dd></dl></div><div class='xr-var-data'><pre>[6 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cols1d_itype_col</span></div><div class='xr-var-dims'>(column)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b351b809-f658-497b-899e-a22f029b4fde' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b351b809-f658-497b-899e-a22f029b4fde' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39a379fb-4eaf-4837-bffe-8df98d1ad5b9' class='xr-var-data-in' type='checkbox'><label for='data-39a379fb-4eaf-4837-bffe-8df98d1ad5b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>column type (see global attributes)</dd></dl></div><div class='xr-var-data'><pre>[6 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cols1d_itype_lunit</span></div><div class='xr-var-dims'>(column)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-36589cb0-be7f-43bf-95b5-b13a9f0bed94' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36589cb0-be7f-43bf-95b5-b13a9f0bed94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23606c88-f22f-49ba-b704-d88dd66205c4' class='xr-var-data-in' type='checkbox'><label for='data-23606c88-f22f-49ba-b704-d88dd66205c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>column landunit type (vegetated,urban,lake,wetland,glacier or glacier_mec)</dd></dl></div><div class='xr-var-data'><pre>[6 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cols1d_active</span></div><div class='xr-var-dims'>(column)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-25db015b-e71b-4847-9e52-54081a1c8eaf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25db015b-e71b-4847-9e52-54081a1c8eaf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fbcf904-25e3-4fbd-af8e-de4270e1a0c4' class='xr-var-data-in' type='checkbox'><label for='data-3fbcf904-25e3-4fbd-af8e-de4270e1a0c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>true =&gt; do computations on this column</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>FALSE TRUE</dd><dt><span>valid_range :</span></dt><dd>[0 1]</dd></dl></div><div class='xr-var-data'><pre>[6 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pfts1d_lon</span></div><div class='xr-var-dims'>(pft)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bc443568-bed7-47da-944d-8c28203f19d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc443568-bed7-47da-944d-8c28203f19d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27a4e9e9-7ce1-4764-af60-2c40832a8e7a' class='xr-var-data-in' type='checkbox'><label for='data-27a4e9e9-7ce1-4764-af60-2c40832a8e7a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pft longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>[6 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pfts1d_lat</span></div><div class='xr-var-dims'>(pft)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-91b4d17e-b021-42c7-9a0c-4daeeba8e6af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-91b4d17e-b021-42c7-9a0c-4daeeba8e6af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c34f885-7bfb-465e-9c8d-6647259ba6d3' class='xr-var-data-in' type='checkbox'><label for='data-4c34f885-7bfb-465e-9c8d-6647259ba6d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pft latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>[6 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pfts1d_ixy</span></div><div class='xr-var-dims'>(pft)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d40688d5-2056-4bb7-8b7a-0690106c5c63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d40688d5-2056-4bb7-8b7a-0690106c5c63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29df3ecb-aaf0-44b7-bd74-ace1fe43ceb2' class='xr-var-data-in' type='checkbox'><label for='data-29df3ecb-aaf0-44b7-bd74-ace1fe43ceb2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>2d longitude index of corresponding pft</dd></dl></div><div class='xr-var-data'><pre>[6 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pfts1d_jxy</span></div><div class='xr-var-dims'>(pft)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7e6a1669-5610-41da-aa57-b8481c3aceef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e6a1669-5610-41da-aa57-b8481c3aceef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13e04ac8-5d3f-4963-b768-1d06c3803bb1' class='xr-var-data-in' type='checkbox'><label for='data-13e04ac8-5d3f-4963-b768-1d06c3803bb1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>2d latitude index of corresponding pft</dd></dl></div><div class='xr-var-data'><pre>[6 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pfts1d_wtgcell</span></div><div class='xr-var-dims'>(pft)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a740e633-530a-4191-a478-54e7a627eb0b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a740e633-530a-4191-a478-54e7a627eb0b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5453c75-22f8-422a-8e2c-df39211007de' class='xr-var-data-in' type='checkbox'><label for='data-b5453c75-22f8-422a-8e2c-df39211007de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pft weight relative to corresponding gridcell</dd></dl></div><div class='xr-var-data'><pre>[6 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pfts1d_wtlunit</span></div><div class='xr-var-dims'>(pft)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fbd0216c-eb52-4c3b-b015-aed15c8a5d13' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fbd0216c-eb52-4c3b-b015-aed15c8a5d13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5ccba6b-b984-4db3-b51d-ffc0c0f5851b' class='xr-var-data-in' type='checkbox'><label for='data-c5ccba6b-b984-4db3-b51d-ffc0c0f5851b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pft weight relative to corresponding landunit</dd></dl></div><div class='xr-var-data'><pre>[6 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pfts1d_wtcol</span></div><div class='xr-var-dims'>(pft)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2f114291-5a14-4b97-9e0b-793516ce0898' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f114291-5a14-4b97-9e0b-793516ce0898' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10751773-0f86-42ac-9495-4e996d440b8d' class='xr-var-data-in' type='checkbox'><label for='data-10751773-0f86-42ac-9495-4e996d440b8d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pft weight relative to corresponding column</dd></dl></div><div class='xr-var-data'><pre>[6 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pfts1d_itype_veg</span></div><div class='xr-var-dims'>(pft)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3cd0cffc-4374-4768-8d9e-b6b65a645921' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3cd0cffc-4374-4768-8d9e-b6b65a645921' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5bf446c9-f8e4-49fb-b0e0-f311f64312b0' class='xr-var-data-in' type='checkbox'><label for='data-5bf446c9-f8e4-49fb-b0e0-f311f64312b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pft vegetation type</dd></dl></div><div class='xr-var-data'><pre>[6 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pfts1d_itype_col</span></div><div class='xr-var-dims'>(pft)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-08379e23-f37f-4194-83d1-5d7acd5ab272' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08379e23-f37f-4194-83d1-5d7acd5ab272' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bea48542-1177-4b3f-8b52-ba8fc2baebc2' class='xr-var-data-in' type='checkbox'><label for='data-bea48542-1177-4b3f-8b52-ba8fc2baebc2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pft column type (see global attributes)</dd></dl></div><div class='xr-var-data'><pre>[6 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pfts1d_itype_lunit</span></div><div class='xr-var-dims'>(pft)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a1c40173-3245-4529-829e-4360263e8424' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1c40173-3245-4529-829e-4360263e8424' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c6ad5d8-b7d6-4252-9799-871aedbc07a9' class='xr-var-data-in' type='checkbox'><label for='data-2c6ad5d8-b7d6-4252-9799-871aedbc07a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pft landunit type (vegetated,urban,lake,wetland,glacier or glacier_mec)</dd></dl></div><div class='xr-var-data'><pre>[6 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pfts1d_active</span></div><div class='xr-var-dims'>(pft)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3c176ed2-8ba5-4da8-a659-9536a0cd5e29' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c176ed2-8ba5-4da8-a659-9536a0cd5e29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c36df2e-cfe7-4f69-acbd-2f6c04b513ec' class='xr-var-data-in' type='checkbox'><label for='data-3c36df2e-cfe7-4f69-acbd-2f6c04b513ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>true =&gt; do computations on this pft</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>flag_meanings :</span></dt><dd>FALSE TRUE</dd><dt><span>valid_range :</span></dt><dd>[0 1]</dd></dl></div><div class='xr-var-data'><pre>[6 values with dtype=int32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>COSZEN</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-69d2e610-7270-4c17-9ad8-df883460ec1f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69d2e610-7270-4c17-9ad8-df883460ec1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4adc0051-93b7-49e9-bb97-611d8da824fa' class='xr-var-data-in' type='checkbox'><label for='data-4adc0051-93b7-49e9-bb97-611d8da824fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>cosine of solar zenith angle</dd><dt><span>units :</span></dt><dd>none</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>EFLX_LH_TOT</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-faa30882-98f1-4b31-8410-5b6ddd037db4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-faa30882-98f1-4b31-8410-5b6ddd037db4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e2c6de9-e97b-4dd3-a810-1eff32796607' class='xr-var-data-in' type='checkbox'><label for='data-2e2c6de9-e97b-4dd3-a810-1eff32796607' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>total latent heat flux [+ to atm]</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ERRSOI</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-73211a5f-24e9-4a96-af8a-e857b2ba14cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73211a5f-24e9-4a96-af8a-e857b2ba14cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d12d4b4-cb0c-468e-aa06-513f74019e00' class='xr-var-data-in' type='checkbox'><label for='data-9d12d4b4-cb0c-468e-aa06-513f74019e00' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>soil/lake energy conservation error</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FCEV</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-30530174-dd5f-4af6-ba6a-0d9e13540e54' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30530174-dd5f-4af6-ba6a-0d9e13540e54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8892b1bb-8338-4577-95e4-c1361b442071' class='xr-var-data-in' type='checkbox'><label for='data-8892b1bb-8338-4577-95e4-c1361b442071' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>canopy evaporation</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FCTR</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2eaa44a5-28fb-4b20-bf90-0e8f778a1741' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2eaa44a5-28fb-4b20-bf90-0e8f778a1741' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3400a821-f061-4c8b-80d4-181fd1b5b37c' class='xr-var-data-in' type='checkbox'><label for='data-3400a821-f061-4c8b-80d4-181fd1b5b37c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>canopy transpiration</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FGEV</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6437ead7-3978-4439-9639-1c4826138d51' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6437ead7-3978-4439-9639-1c4826138d51' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b835588c-d9d3-442c-9f9f-bfe809d44bb1' class='xr-var-data-in' type='checkbox'><label for='data-b835588c-d9d3-442c-9f9f-bfe809d44bb1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ground evaporation</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FGR</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3d795eb3-5ff2-4e6d-8ab4-5499fe0f3fa0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d795eb3-5ff2-4e6d-8ab4-5499fe0f3fa0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f0bf095-e1bd-4bd9-a2b4-24cb0a2f56bd' class='xr-var-data-in' type='checkbox'><label for='data-6f0bf095-e1bd-4bd9-a2b4-24cb0a2f56bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>heat flux into soil/snow including snow melt and lake / snow light transmission</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FIRA</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6b1035c3-72ae-408f-9b18-1469bc27992d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b1035c3-72ae-408f-9b18-1469bc27992d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8de6f3f8-7cb8-4be1-a4f6-d533c44a5f36' class='xr-var-data-in' type='checkbox'><label for='data-8de6f3f8-7cb8-4be1-a4f6-d533c44a5f36' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>net infrared (longwave) radiation</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FIRE</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-69a8e658-4c43-429d-802f-fd65f27af314' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69a8e658-4c43-429d-802f-fd65f27af314' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c15238e5-1d47-47b2-a7b3-3865969751b5' class='xr-var-data-in' type='checkbox'><label for='data-c15238e5-1d47-47b2-a7b3-3865969751b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>emitted infrared (longwave) radiation</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FLDS</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-11a57e15-43d4-47e6-b4e7-b43e9218e639' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11a57e15-43d4-47e6-b4e7-b43e9218e639' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-121f03e1-0305-419a-b3b5-b78c4a2645d8' class='xr-var-data-in' type='checkbox'><label for='data-121f03e1-0305-419a-b3b5-b78c4a2645d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>atmospheric longwave radiation (downscaled to columns in glacier regions)</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FSA</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-87f15280-0dd1-4909-85d1-c629317c44c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-87f15280-0dd1-4909-85d1-c629317c44c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0378102-d1c9-4cbb-86a8-e13148aa530f' class='xr-var-data-in' type='checkbox'><label for='data-e0378102-d1c9-4cbb-86a8-e13148aa530f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>absorbed solar radiation</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FSDS</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c1611afe-1b68-4cb2-a87a-0a9c099d88ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c1611afe-1b68-4cb2-a87a-0a9c099d88ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71d13589-50e7-4478-9544-8e8bf446ec60' class='xr-var-data-in' type='checkbox'><label for='data-71d13589-50e7-4478-9544-8e8bf446ec60' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>atmospheric incident solar radiation</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FSDSND</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-92da8035-6fdc-49e0-a240-4b59aff9d88d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92da8035-6fdc-49e0-a240-4b59aff9d88d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40464926-dc60-43df-97b8-8cbb3b54f27c' class='xr-var-data-in' type='checkbox'><label for='data-40464926-dc60-43df-97b8-8cbb3b54f27c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>direct nir incident solar radiation</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FSDSNI</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-23baf2d6-7935-43d8-a871-ab1d034644dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23baf2d6-7935-43d8-a871-ab1d034644dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0fef6c60-b09f-4d98-a3f0-d79daab8be85' class='xr-var-data-in' type='checkbox'><label for='data-0fef6c60-b09f-4d98-a3f0-d79daab8be85' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>diffuse nir incident solar radiation</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FSDSVD</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-da369c34-8793-438d-adae-4529ad313d3e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da369c34-8793-438d-adae-4529ad313d3e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3aa56a27-118f-40a0-bd80-125186580938' class='xr-var-data-in' type='checkbox'><label for='data-3aa56a27-118f-40a0-bd80-125186580938' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>direct vis incident solar radiation</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FSDSVI</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-12021030-869e-41c7-80f7-a616fe5afe57' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12021030-869e-41c7-80f7-a616fe5afe57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3942109e-fd77-4a4b-81cc-84f1eb126c45' class='xr-var-data-in' type='checkbox'><label for='data-3942109e-fd77-4a4b-81cc-84f1eb126c45' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>diffuse vis incident solar radiation</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FSH</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eed279c3-3e33-4f41-8c08-db017fb3131d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eed279c3-3e33-4f41-8c08-db017fb3131d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8dc24b0-6599-44b8-8999-89f27464b144' class='xr-var-data-in' type='checkbox'><label for='data-e8dc24b0-6599-44b8-8999-89f27464b144' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sensible heat not including correction for land use change and rain/snow conversion</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FSR</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-acbb937e-ad5d-4dab-a2c6-e4d0813882fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-acbb937e-ad5d-4dab-a2c6-e4d0813882fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d8f29c6-1f2f-42fc-a691-42993ed2af15' class='xr-var-data-in' type='checkbox'><label for='data-5d8f29c6-1f2f-42fc-a691-42993ed2af15' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>reflected solar radiation</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FSRND</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eea5066a-6da0-4e79-9d91-7348e30100a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eea5066a-6da0-4e79-9d91-7348e30100a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-496cd70d-c397-4b84-90ef-412eb71b0ce8' class='xr-var-data-in' type='checkbox'><label for='data-496cd70d-c397-4b84-90ef-412eb71b0ce8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>direct nir reflected solar radiation</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FSRNI</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2740ec65-55cb-4e2a-b654-b93e090a2155' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2740ec65-55cb-4e2a-b654-b93e090a2155' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f6d9a6b-85b8-4126-8910-b2383b9c2362' class='xr-var-data-in' type='checkbox'><label for='data-6f6d9a6b-85b8-4126-8910-b2383b9c2362' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>diffuse nir reflected solar radiation</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FSRVD</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7d635af0-effa-4efc-b950-c92d11f41b79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d635af0-effa-4efc-b950-c92d11f41b79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ff9938a-628a-4f75-8e00-6e7c2300d87e' class='xr-var-data-in' type='checkbox'><label for='data-1ff9938a-628a-4f75-8e00-6e7c2300d87e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>direct vis reflected solar radiation</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FSRVI</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c4d8f018-f251-40b9-863f-5642bf39c929' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4d8f018-f251-40b9-863f-5642bf39c929' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91b363ec-2ee6-4991-944b-016be92fcf49' class='xr-var-data-in' type='checkbox'><label for='data-91b363ec-2ee6-4991-944b-016be92fcf49' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>diffuse vis reflected solar radiation</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>H2OCAN</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0c31007a-5af1-403b-a8cc-435538d1abc3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c31007a-5af1-403b-a8cc-435538d1abc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0a9511d-22f1-477e-ae3f-b2cd612808a8' class='xr-var-data-in' type='checkbox'><label for='data-e0a9511d-22f1-477e-ae3f-b2cd612808a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>intercepted water</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>H2OSFC</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1531b075-9c66-434c-ae07-2fa409e2b846' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1531b075-9c66-434c-ae07-2fa409e2b846' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c42b9a1d-244f-4894-bf01-13ef609167e9' class='xr-var-data-in' type='checkbox'><label for='data-c42b9a1d-244f-4894-bf01-13ef609167e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>surface water depth</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>H2OSNO</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2fe46141-d738-4d6f-8f70-0acc57ffa432' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2fe46141-d738-4d6f-8f70-0acc57ffa432' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fcf3731-f1ed-42b5-b74c-d97fdec950e7' class='xr-var-data-in' type='checkbox'><label for='data-7fcf3731-f1ed-42b5-b74c-d97fdec950e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>snow depth (liquid water)</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>H2OSOI</span></div><div class='xr-var-dims'>(time, levsoi, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fed87f6c-6bec-413e-92bb-08ddaa0d6a13' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fed87f6c-6bec-413e-92bb-08ddaa0d6a13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc0b7058-1f57-44af-a03f-74781bb0db6c' class='xr-var-data-in' type='checkbox'><label for='data-cc0b7058-1f57-44af-a03f-74781bb0db6c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>volumetric soil water (vegetated landunits only)</dd><dt><span>units :</span></dt><dd>mm3/mm3</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[4210320 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HIA</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1167dbcf-fd59-4f70-a908-75f94b699469' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1167dbcf-fd59-4f70-a908-75f94b699469' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2aa7559e-f039-4a5e-847d-84093d449cfe' class='xr-var-data-in' type='checkbox'><label for='data-2aa7559e-f039-4a5e-847d-84093d449cfe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>2 m NWS Heat Index</dd><dt><span>units :</span></dt><dd>C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>HUMIDEX</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a792364c-6112-46c7-b078-9baa6af64ab8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a792364c-6112-46c7-b078-9baa6af64ab8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24a45ea3-eee1-4db6-b4de-e47e0ee478c1' class='xr-var-data-in' type='checkbox'><label for='data-24a45ea3-eee1-4db6-b4de-e47e0ee478c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>2 m Humidex</dd><dt><span>units :</span></dt><dd>C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LWdown</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-07ab6c92-42e8-48a8-a984-de8f71729d38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07ab6c92-42e8-48a8-a984-de8f71729d38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b5e5ac3-807b-463c-aedd-14cb436ea846' class='xr-var-data-in' type='checkbox'><label for='data-3b5e5ac3-807b-463c-aedd-14cb436ea846' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>atmospheric longwave radiation (downscaled to columns in glacier regions)</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LWup</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9f493aac-3f40-4579-85c7-5a94c1292574' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f493aac-3f40-4579-85c7-5a94c1292574' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87e95c7b-2e61-4e0b-a5f0-3887bfc83351' class='xr-var-data-in' type='checkbox'><label for='data-87e95c7b-2e61-4e0b-a5f0-3887bfc83351' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>upwelling longwave radiation</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PSurf</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4b827029-773d-4a2e-a2e5-0505fdaafe6e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b827029-773d-4a2e-a2e5-0505fdaafe6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6230896-86ec-453b-9815-74bf12be256a' class='xr-var-data-in' type='checkbox'><label for='data-e6230896-86ec-453b-9815-74bf12be256a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>atmospheric pressure at surface (downscaled to columns in glacier regions)</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Q2M</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-edfc5d0f-c8de-47d8-a964-86898b28ea18' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-edfc5d0f-c8de-47d8-a964-86898b28ea18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b80de5a-31c2-43d6-bb5c-d06d2bd3969c' class='xr-var-data-in' type='checkbox'><label for='data-9b80de5a-31c2-43d6-bb5c-d06d2bd3969c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>2m specific humidity</dd><dt><span>units :</span></dt><dd>kg/kg</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>QBOT</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7c9b0c09-1af6-4836-a7c6-cfc9ab03c611' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c9b0c09-1af6-4836-a7c6-cfc9ab03c611' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-614d7cd5-e42e-4849-9dd9-e58e19a3010e' class='xr-var-data-in' type='checkbox'><label for='data-614d7cd5-e42e-4849-9dd9-e58e19a3010e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>atmospheric specific humidity (downscaled to columns in glacier regions)</dd><dt><span>units :</span></dt><dd>kg/kg</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>QDRAI</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-61767960-b4d5-4563-8f42-574a551c46eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61767960-b4d5-4563-8f42-574a551c46eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65658b40-a43f-4c97-a663-0bf2cd45b10f' class='xr-var-data-in' type='checkbox'><label for='data-65658b40-a43f-4c97-a663-0bf2cd45b10f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sub-surface drainage</dd><dt><span>units :</span></dt><dd>mm/s</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>QDRAI_PERCH</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-db138379-2ba4-4565-a1a0-287d1e93457c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db138379-2ba4-4565-a1a0-287d1e93457c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91213c76-4ea2-46a5-b764-d31985861a55' class='xr-var-data-in' type='checkbox'><label for='data-91213c76-4ea2-46a5-b764-d31985861a55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>perched wt drainage</dd><dt><span>units :</span></dt><dd>mm/s</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>QFLX_EVAP_TOT</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-289b0466-5d41-4235-ae00-fc660afccfd5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-289b0466-5d41-4235-ae00-fc660afccfd5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cce575bf-95dc-4c29-a4a8-0aadc773a47f' class='xr-var-data-in' type='checkbox'><label for='data-cce575bf-95dc-4c29-a4a8-0aadc773a47f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>qflx_evap_soi + qflx_evap_can + qflx_tran_veg</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>QH2OSFC</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f940ffc5-3c60-486b-8ca4-7c439fcd79e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f940ffc5-3c60-486b-8ca4-7c439fcd79e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7730f7ab-f3ea-48c6-8174-3dfb401f6b0b' class='xr-var-data-in' type='checkbox'><label for='data-7730f7ab-f3ea-48c6-8174-3dfb401f6b0b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>surface water runoff</dd><dt><span>units :</span></dt><dd>mm/s</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>QOVER</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-49d09e6d-2105-4a77-bc8e-f590a791b435' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49d09e6d-2105-4a77-bc8e-f590a791b435' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a6eab1d-8845-48cb-8c03-ed9bd8fe83ad' class='xr-var-data-in' type='checkbox'><label for='data-6a6eab1d-8845-48cb-8c03-ed9bd8fe83ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>surface runoff</dd><dt><span>units :</span></dt><dd>mm/s</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>QSOIL</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8f9039fd-cce5-433d-95ac-735e4f1ca6a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f9039fd-cce5-433d-95ac-735e4f1ca6a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6dab1572-2d68-490b-a8fe-3da862850fc3' class='xr-var-data-in' type='checkbox'><label for='data-6dab1572-2d68-490b-a8fe-3da862850fc3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ground evaporation (soil/snow evaporation + soil/snow sublimation - dew)</dd><dt><span>units :</span></dt><dd>mm/s</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>QVEGE</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ca71a460-712e-4cd3-a38d-5638d10745cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca71a460-712e-4cd3-a38d-5638d10745cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-060f4690-4aef-401a-8e7e-7c7391144f66' class='xr-var-data-in' type='checkbox'><label for='data-060f4690-4aef-401a-8e7e-7c7391144f66' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>canopy evaporation</dd><dt><span>units :</span></dt><dd>mm/s</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>QVEGT</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d36488c0-ab01-4033-b7fd-f7c2e6bf315b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d36488c0-ab01-4033-b7fd-f7c2e6bf315b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-474d3dc0-6c0a-4eac-8fca-7c5625e7cd21' class='xr-var-data-in' type='checkbox'><label for='data-474d3dc0-6c0a-4eac-8fca-7c5625e7cd21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>canopy transpiration</dd><dt><span>units :</span></dt><dd>mm/s</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Qair</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-85f12cbf-7027-45ca-9ee0-e2446a401409' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85f12cbf-7027-45ca-9ee0-e2446a401409' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a01dfa1-bc1a-400a-8bf1-bc28ffe003e6' class='xr-var-data-in' type='checkbox'><label for='data-3a01dfa1-bc1a-400a-8bf1-bc28ffe003e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>atmospheric specific humidity (downscaled to columns in glacier regions)</dd><dt><span>units :</span></dt><dd>kg/kg</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Qh</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c4e263c8-6b73-4840-984c-47f7ed4ce5f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4e263c8-6b73-4840-984c-47f7ed4ce5f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb44e5ca-c88d-4117-8dc5-b08a8d00133a' class='xr-var-data-in' type='checkbox'><label for='data-fb44e5ca-c88d-4117-8dc5-b08a8d00133a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sensible heat</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Qle</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-21ae01a8-b3e4-4962-9d54-91a9be7073ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21ae01a8-b3e4-4962-9d54-91a9be7073ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-baf826b1-b617-4b27-a768-c2fbfb3b2f7b' class='xr-var-data-in' type='checkbox'><label for='data-baf826b1-b617-4b27-a768-c2fbfb3b2f7b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>total evaporation</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Qstor</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e059a735-dcc4-4b03-a93c-9e01aa769549' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e059a735-dcc4-4b03-a93c-9e01aa769549' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7dc5725d-545d-4075-b1e9-c4ffe2b7917e' class='xr-var-data-in' type='checkbox'><label for='data-7dc5725d-545d-4075-b1e9-c4ffe2b7917e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>storage heat flux (includes snowmelt)</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Qtau</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6e1bc866-8cad-4e09-bb6c-bc358bf1532c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e1bc866-8cad-4e09-bb6c-bc358bf1532c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f862be4-cdff-460f-9175-537c92beaabf' class='xr-var-data-in' type='checkbox'><label for='data-0f862be4-cdff-460f-9175-537c92beaabf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>momentum flux</dd><dt><span>units :</span></dt><dd>kg/m/s^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RAIN</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-49ccf54d-9759-4a9a-aaed-79ead4b0a45d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49ccf54d-9759-4a9a-aaed-79ead4b0a45d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41cf5d43-1569-4ff4-8d39-9392120e65be' class='xr-var-data-in' type='checkbox'><label for='data-41cf5d43-1569-4ff4-8d39-9392120e65be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>atmospheric rain, after rain/snow repartitioning based on temperature</dd><dt><span>units :</span></dt><dd>mm/s</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RH2M</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a36c6eb6-76ae-4537-8050-38fb0079b5e9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a36c6eb6-76ae-4537-8050-38fb0079b5e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ac36300-427f-4ad0-a685-8f962f801cfe' class='xr-var-data-in' type='checkbox'><label for='data-7ac36300-427f-4ad0-a685-8f962f801cfe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>2m relative humidity</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rainf</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bc8cefba-279c-47c0-ab13-5dbe6105aaee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc8cefba-279c-47c0-ab13-5dbe6105aaee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56ef3aa0-7394-4f11-8e6c-5e933e036d84' class='xr-var-data-in' type='checkbox'><label for='data-56ef3aa0-7394-4f11-8e6c-5e933e036d84' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>atmospheric rain, after rain/snow repartitioning based on temperature</dd><dt><span>units :</span></dt><dd>mm/s</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rnet</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-853de4af-4839-46d5-9345-d76fb96ee6fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-853de4af-4839-46d5-9345-d76fb96ee6fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3edadbc-d230-4dcc-8ba9-ca33063a1466' class='xr-var-data-in' type='checkbox'><label for='data-d3edadbc-d230-4dcc-8ba9-ca33063a1466' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>net radiation</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SABG</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3dcfcc3d-68ab-4325-89e9-e0221db8c67b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3dcfcc3d-68ab-4325-89e9-e0221db8c67b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de521502-4723-468b-a6e2-777a64d6a618' class='xr-var-data-in' type='checkbox'><label for='data-de521502-4723-468b-a6e2-777a64d6a618' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>solar rad absorbed by ground</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SABV</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6e7f3d86-9216-4999-a299-b06d35049b76' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e7f3d86-9216-4999-a299-b06d35049b76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34cc77d7-190b-435f-8dd2-eb330bcbbd6c' class='xr-var-data-in' type='checkbox'><label for='data-34cc77d7-190b-435f-8dd2-eb330bcbbd6c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>solar rad absorbed by veg</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SNOCAN</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2bb6a2a6-7c2b-4519-b0bf-e77e5b2254b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2bb6a2a6-7c2b-4519-b0bf-e77e5b2254b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ade473cd-3708-41d9-a881-2792c589d882' class='xr-var-data-in' type='checkbox'><label for='data-ade473cd-3708-41d9-a881-2792c589d882' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>intercepted snow</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SNOW</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9f0efed4-6853-4e37-92ad-8523440141cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f0efed4-6853-4e37-92ad-8523440141cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41420791-2ce1-442c-ae11-dfecc7ceb571' class='xr-var-data-in' type='checkbox'><label for='data-41420791-2ce1-442c-ae11-dfecc7ceb571' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>atmospheric snow, after rain/snow repartitioning based on temperature</dd><dt><span>units :</span></dt><dd>mm/s</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SOILICE</span></div><div class='xr-var-dims'>(time, levsoi, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d5fdc827-3e9c-4c87-a073-f6f82af590c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5fdc827-3e9c-4c87-a073-f6f82af590c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4adc79c-2d77-4101-9f87-83e4fac7aca2' class='xr-var-data-in' type='checkbox'><label for='data-e4adc79c-2d77-4101-9f87-83e4fac7aca2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>soil ice (vegetated landunits only)</dd><dt><span>units :</span></dt><dd>kg/m2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[4210320 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SOILLIQ</span></div><div class='xr-var-dims'>(time, levsoi, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d9aef2bc-9bfd-46b7-a830-714ab01c75f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9aef2bc-9bfd-46b7-a830-714ab01c75f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04cbf8fb-f7fd-4bd0-9e0c-b2c617bc82ec' class='xr-var-data-in' type='checkbox'><label for='data-04cbf8fb-f7fd-4bd0-9e0c-b2c617bc82ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>soil liquid water (vegetated landunits only)</dd><dt><span>units :</span></dt><dd>kg/m2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[4210320 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SWBGT</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-12525401-3cc7-47ed-9eea-c397cd88d64d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12525401-3cc7-47ed-9eea-c397cd88d64d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b3e9756-d477-4c36-b07d-b0042f73a2d9' class='xr-var-data-in' type='checkbox'><label for='data-8b3e9756-d477-4c36-b07d-b0042f73a2d9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>2 m Simplified Wetbulb Globe Temp</dd><dt><span>units :</span></dt><dd>C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SWdown</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3596ae08-6b47-4fb5-8c9a-5f69ed479600' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3596ae08-6b47-4fb5-8c9a-5f69ed479600' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8afca479-e04f-43b1-aeec-9c2ac0b30baa' class='xr-var-data-in' type='checkbox'><label for='data-8afca479-e04f-43b1-aeec-9c2ac0b30baa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>atmospheric incident solar radiation</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SWup</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b956d5e4-5b46-4fe5-8427-80360e8c3d80' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b956d5e4-5b46-4fe5-8427-80360e8c3d80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9ac8861-dd58-40e4-9392-b45c9820bef6' class='xr-var-data-in' type='checkbox'><label for='data-b9ac8861-dd58-40e4-9392-b45c9820bef6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>upwelling shortwave radiation</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SoilAlpha_U</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-04ab73e9-3256-4641-8390-bcd1a29c6ad4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-04ab73e9-3256-4641-8390-bcd1a29c6ad4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-322ea3f1-872c-4bde-aacf-b0b5922b28ca' class='xr-var-data-in' type='checkbox'><label for='data-322ea3f1-872c-4bde-aacf-b0b5922b28ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>urban factor limiting ground evap</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TBOT</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2006dac9-2743-4412-ae45-1dad95c2b271' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2006dac9-2743-4412-ae45-1dad95c2b271' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-896b5daf-3986-4469-aeed-799183c1b221' class='xr-var-data-in' type='checkbox'><label for='data-896b5daf-3986-4469-aeed-799183c1b221' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>atmospheric air temperature (downscaled to columns in glacier regions)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TBUILD</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2fb7801b-6e92-424d-b9cb-8124a83a7b9f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2fb7801b-6e92-424d-b9cb-8124a83a7b9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-256f0edf-3170-41c4-b750-6d9713b18698' class='xr-var-data-in' type='checkbox'><label for='data-256f0edf-3170-41c4-b750-6d9713b18698' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>internal urban building air temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TG</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dc1d167a-6080-458a-b39f-8ddb8c223d9a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc1d167a-6080-458a-b39f-8ddb8c223d9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3640b25-540a-4e61-a146-5c18d44c7514' class='xr-var-data-in' type='checkbox'><label for='data-a3640b25-540a-4e61-a146-5c18d44c7514' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ground temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TRAFFICFLUX</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-06c75275-5844-477c-8aaf-10dfa3a7c57c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-06c75275-5844-477c-8aaf-10dfa3a7c57c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f3b1979-99f8-4d8b-a9fb-2fb0aa1ae2c0' class='xr-var-data-in' type='checkbox'><label for='data-6f3b1979-99f8-4d8b-a9fb-2fb0aa1ae2c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sensible heat flux from urban traffic</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TSA</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7fed90c8-7bf9-40b3-9dd3-0fde5ecedc36' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7fed90c8-7bf9-40b3-9dd3-0fde5ecedc36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f6f8715-c89a-485f-8290-abbe29087892' class='xr-var-data-in' type='checkbox'><label for='data-8f6f8715-c89a-485f-8290-abbe29087892' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>2m air temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TSKIN</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3e48de1c-92f5-4f3a-95dd-df4066053f04' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e48de1c-92f5-4f3a-95dd-df4066053f04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06ef6b08-da04-4c05-a242-88750e301f02' class='xr-var-data-in' type='checkbox'><label for='data-06ef6b08-da04-4c05-a242-88750e301f02' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>skin temperature</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TSOI</span></div><div class='xr-var-dims'>(time, levgrnd, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-166b1778-20f8-4d51-8f7b-92fb5ead8fbf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-166b1778-20f8-4d51-8f7b-92fb5ead8fbf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d97ed052-ebd5-43dc-9a84-2526c0a3f09e' class='xr-var-data-in' type='checkbox'><label for='data-d97ed052-ebd5-43dc-9a84-2526c0a3f09e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>soil temperature (vegetated landunits only)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[5262900 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TWS</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6856ef9d-4039-4ae4-8650-1ce53a9c7f7f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6856ef9d-4039-4ae4-8650-1ce53a9c7f7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e41a0d6c-24e1-4fb8-99e5-30ff5022393b' class='xr-var-data-in' type='checkbox'><label for='data-e41a0d6c-24e1-4fb8-99e5-30ff5022393b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>total water storage</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tair</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2dd00873-2a59-4899-b1bd-170db99e6cbc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2dd00873-2a59-4899-b1bd-170db99e6cbc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2fa44ea0-08c2-4f1e-99b1-249630881a3e' class='xr-var-data-in' type='checkbox'><label for='data-2fa44ea0-08c2-4f1e-99b1-249630881a3e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>atmospheric air temperature (downscaled to columns in glacier regions)</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>URBAN_AC</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7a93d465-d2a9-420b-9311-c0810cf6715e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a93d465-d2a9-420b-9311-c0810cf6715e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e69ff37-46b6-43a0-a35b-b84510b1a931' class='xr-var-data-in' type='checkbox'><label for='data-4e69ff37-46b6-43a0-a35b-b84510b1a931' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>urban air conditioning flux</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>URBAN_HEAT</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4faf3965-4eba-4bec-9392-08cf99f0891a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4faf3965-4eba-4bec-9392-08cf99f0891a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8306a1c9-2489-4027-95cc-3c2fd2f029e5' class='xr-var-data-in' type='checkbox'><label for='data-8306a1c9-2489-4027-95cc-3c2fd2f029e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>urban heating flux</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WASTEHEAT</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-163f14bb-4858-4b1c-8ef0-22a6d40376bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-163f14bb-4858-4b1c-8ef0-22a6d40376bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-114ea3a7-9853-4ea6-996e-566dc8b02711' class='xr-var-data-in' type='checkbox'><label for='data-114ea3a7-9853-4ea6-996e-566dc8b02711' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sensible heat flux from heating/cooling sources of urban waste heat</dd><dt><span>units :</span></dt><dd>W/m^2</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>WBT</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3ebef78d-83fb-4e08-bcfb-f5925f1a87e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ebef78d-83fb-4e08-bcfb-f5925f1a87e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e80452a-d05c-4f0d-8808-21ec999aeca6' class='xr-var-data-in' type='checkbox'><label for='data-3e80452a-d05c-4f0d-8808-21ec999aeca6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>2 m Stull Wet Bulb</dd><dt><span>units :</span></dt><dd>C</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Wind</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-07042d8b-ed6c-4315-a1b8-afb2bb6e4e22' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07042d8b-ed6c-4315-a1b8-afb2bb6e4e22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15ac2032-5383-4fb8-8079-303e3d94cd41' class='xr-var-data-in' type='checkbox'><label for='data-15ac2032-5383-4fb8-8079-303e3d94cd41' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>atmospheric wind velocity magnitude</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ZWT</span></div><div class='xr-var-dims'>(time, column)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b2ae3ca2-7f7d-4e59-9836-c8a034b0db73' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2ae3ca2-7f7d-4e59-9836-c8a034b0db73' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2ddc27a-f134-4eca-ad68-b145a3aa2fa3' class='xr-var-data-in' type='checkbox'><label for='data-f2ddc27a-f134-4eca-ad68-b145a3aa2fa3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>water table depth (vegetated landunits only)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd></dl></div><div class='xr-var-data'><pre>[210516 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-19390f95-a74a-4fe9-8a18-aa80626398ff' class='xr-section-summary-in' type='checkbox'  ><label for='section-19390f95-a74a-4fe9-8a18-aa80626398ff' class='xr-section-summary' >Indexes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>levgrnd</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-123499e8-dae8-4dfe-ada1-2008fc37a9db' class='xr-index-data-in' type='checkbox'/><label for='index-123499e8-dae8-4dfe-ada1-2008fc37a9db' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.009999999776482582,  0.03999999910593033,  0.09000000357627869,\n",
       "         0.1599999964237213,  0.25999999046325684,   0.4000000059604645,\n",
       "         0.5799999833106995,    0.800000011920929,    1.059999942779541,\n",
       "         1.3600000143051147,   1.7000000476837158,   2.0799999237060547,\n",
       "                        2.5,    2.990000009536743,   3.5799999237060547,\n",
       "          4.269999980926514,    5.059999942779541,    5.949999809265137,\n",
       "          6.940000057220459,    8.029999732971191,    9.795000076293945,\n",
       "         13.327767372131348,   19.483129501342773,   28.870723724365234,\n",
       "         41.998435974121094],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;levgrnd&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>levlak</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-29e64371-18ea-447f-b2a6-19b043339813' class='xr-index-data-in' type='checkbox'/><label for='index-29e64371-18ea-447f-b2a6-19b043339813' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.05000000074505806,  0.6000000238418579,  2.0999999046325684,\n",
       "         4.599999904632568,   8.100000381469727,  12.600000381469727,\n",
       "        18.600000381469727,  25.600000381469727,   34.32500076293945,\n",
       "        44.775001525878906],\n",
       "      dtype=&#x27;float32&#x27;, name=&#x27;levlak&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>levdcmp</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3894b20a-6649-4cc3-b3ac-e9dbadae296a' class='xr-index-data-in' type='checkbox'/><label for='index-3894b20a-6649-4cc3-b3ac-e9dbadae296a' 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([1.0], dtype=&#x27;float32&#x27;, name=&#x27;levdcmp&#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-af0a0b3b-dd3e-405a-8bb2-705a66b5cc87' class='xr-index-data-in' type='checkbox'/><label for='index-af0a0b3b-dd3e-405a-8bb2-705a66b5cc87' 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;2012-01-01 01:30:00&#x27;, &#x27;2012-01-01 02:00:00&#x27;,\n",
       "               &#x27;2012-01-01 02:30:00&#x27;, &#x27;2012-01-01 03:00:00&#x27;,\n",
       "               &#x27;2012-01-01 03:30:00&#x27;, &#x27;2012-01-01 04:00:00&#x27;,\n",
       "               &#x27;2012-01-01 04:30:00&#x27;, &#x27;2012-01-01 05:00:00&#x27;,\n",
       "               &#x27;2012-01-01 05:30:00&#x27;, &#x27;2012-01-01 06:00:00&#x27;,\n",
       "               ...\n",
       "               &#x27;2013-12-31 19:30:00&#x27;, &#x27;2013-12-31 20:00:00&#x27;,\n",
       "               &#x27;2013-12-31 20:30:00&#x27;, &#x27;2013-12-31 21:00:00&#x27;,\n",
       "               &#x27;2013-12-31 21:30:00&#x27;, &#x27;2013-12-31 22:00:00&#x27;,\n",
       "               &#x27;2013-12-31 22:30:00&#x27;, &#x27;2013-12-31 23:00:00&#x27;,\n",
       "               &#x27;2013-12-31 23:30:00&#x27;, &#x27;2014-01-01 00:00:00&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=35086, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2c2d2f54-c6f2-4c66-867f-0261c67e7d27' class='xr-section-summary-in' type='checkbox'  ><label for='section-2c2d2f54-c6f2-4c66-867f-0261c67e7d27' class='xr-section-summary' >Attributes: <span>(40)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>CLM History file information</dd><dt><span>comment :</span></dt><dd>NOTE: None of the variables are weighted by land fraction!</dd><dt><span>Conventions :</span></dt><dd>CF-1.0</dd><dt><span>history :</span></dt><dd>created on 11/23/24 14:50:56</dd><dt><span>source :</span></dt><dd>Community Land Model CLM4.0</dd><dt><span>hostname :</span></dt><dd>clmu-app</dd><dt><span>username :</span></dt><dd>root</dd><dt><span>version :</span></dt><dd>release-clm5.0.37-1-ge7285f6ca</dd><dt><span>revision_id :</span></dt><dd>$Id: histFileMod.F90 42903 2012-12-21 15:32:10Z muszala $</dd><dt><span>case_title :</span></dt><dd>UNSET</dd><dt><span>case_id :</span></dt><dd>example1</dd><dt><span>Surface_dataset :</span></dt><dd>surfdata.nc</dd><dt><span>Initial_conditions_dataset :</span></dt><dd>arbitrary initialization</dd><dt><span>PFT_physiological_constants_dataset :</span></dt><dd>clm5_params.c171117.nc</dd><dt><span>ltype_vegetated_or_bare_soil :</span></dt><dd>1</dd><dt><span>ltype_crop :</span></dt><dd>2</dd><dt><span>ltype_UNUSED :</span></dt><dd>3</dd><dt><span>ltype_landice_multiple_elevation_classes :</span></dt><dd>4</dd><dt><span>ltype_deep_lake :</span></dt><dd>5</dd><dt><span>ltype_wetland :</span></dt><dd>6</dd><dt><span>ltype_urban_tbd :</span></dt><dd>7</dd><dt><span>ltype_urban_hd :</span></dt><dd>8</dd><dt><span>ltype_urban_md :</span></dt><dd>9</dd><dt><span>ctype_vegetated_or_bare_soil :</span></dt><dd>1</dd><dt><span>ctype_crop :</span></dt><dd>2</dd><dt><span>ctype_crop_noncompete :</span></dt><dd>2*100+m, m=cft_lb,cft_ub</dd><dt><span>ctype_landice :</span></dt><dd>3</dd><dt><span>ctype_landice_multiple_elevation_classes :</span></dt><dd>4*100+m, m=1,glcnec</dd><dt><span>ctype_deep_lake :</span></dt><dd>5</dd><dt><span>ctype_wetland :</span></dt><dd>6</dd><dt><span>ctype_urban_roof :</span></dt><dd>71</dd><dt><span>ctype_urban_sunwall :</span></dt><dd>72</dd><dt><span>ctype_urban_shadewall :</span></dt><dd>73</dd><dt><span>ctype_urban_impervious_road :</span></dt><dd>74</dd><dt><span>ctype_urban_pervious_road :</span></dt><dd>75</dd><dt><span>cft_c3_crop :</span></dt><dd>1</dd><dt><span>cft_c3_irrigated :</span></dt><dd>2</dd><dt><span>time_period_freq :</span></dt><dd>minute_30</dd><dt><span>Time_constant_3Dvars_filename :</span></dt><dd>./example1.clm2.h0.2012-01-01-01800.nc</dd><dt><span>Time_constant_3Dvars :</span></dt><dd>ZSOI:DZSOI:WATSAT:SUCSAT:BSW:HKSAT:ZLAKE:DZLAKE</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 134MB\n",
       "Dimensions:             (levgrnd: 25, levlak: 10, levdcmp: 1, time: 35086,\n",
       "                         hist_interval: 2, lndgrid: 1, gridcell: 1,\n",
       "                         landunit: 2, column: 6, pft: 6, levsoi: 20)\n",
       "Coordinates:\n",
       "  * levgrnd             (levgrnd) float32 100B 0.01 0.04 0.09 ... 28.87 42.0\n",
       "  * levlak              (levlak) float32 40B 0.05 0.6 2.1 ... 25.6 34.33 44.78\n",
       "  * levdcmp             (levdcmp) float32 4B 1.0\n",
       "  * time                (time) datetime64[ns] 281kB 2012-01-01T01:30:00 ... 2...\n",
       "Dimensions without coordinates: hist_interval, lndgrid, gridcell, landunit,\n",
       "                                column, pft, levsoi\n",
       "Data variables: (12/121)\n",
       "    mcdate              (time) int32 140kB ...\n",
       "    mcsec               (time) int32 140kB ...\n",
       "    mdcur               (time) int32 140kB ...\n",
       "    mscur               (time) int32 140kB ...\n",
       "    nstep               (time) int32 140kB ...\n",
       "    time_bounds         (time, hist_interval) datetime64[ns] 561kB ...\n",
       "    ...                  ...\n",
       "    URBAN_AC            (time, column) float32 842kB ...\n",
       "    URBAN_HEAT          (time, column) float32 842kB ...\n",
       "    WASTEHEAT           (time, column) float32 842kB ...\n",
       "    WBT                 (time, column) float32 842kB ...\n",
       "    Wind                (time, column) float32 842kB ...\n",
       "    ZWT                 (time, column) float32 842kB ...\n",
       "Attributes: (12/40)\n",
       "    title:                                     CLM History file information\n",
       "    comment:                                   NOTE: None of the variables ar...\n",
       "    Conventions:                               CF-1.0\n",
       "    history:                                   created on 11/23/24 14:50:56\n",
       "    source:                                    Community Land Model CLM4.0\n",
       "    hostname:                                  clmu-app\n",
       "    ...                                        ...\n",
       "    ctype_urban_pervious_road:                 75\n",
       "    cft_c3_crop:                               1\n",
       "    cft_c3_irrigated:                          2\n",
       "    time_period_freq:                          minute_30\n",
       "    Time_constant_3Dvars_filename:             ./example1.clm2.h0.2012-01-01-...\n",
       "    Time_constant_3Dvars:                      ZSOI:DZSOI:WATSAT:SUCSAT:BSW:H..."
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_usp_col=usp.nc_view(usp_london[0]).isel(time=slice(2, None))\n",
    "ds_usp_col"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_usp_col=usp.nc_view(usp_london[0])\n",
    "ds_usp_col = ds_usp_col.assign_coords({'column':ds_usp_col['cols1d_itype_col']})\n",
    "fig = plt.figure(figsize=(12, 5))\n",
    "var_list = ['TSKIN','FGR','FSH','EFLX_LH_TOT']\n",
    "title = ['a', 'b', 'c', 'd']\n",
    "color_list = [\"#AE02DE\", \"#65D8DF\",\"#E02927\",\"#E0C645\",\"#3964DF\"]\n",
    "ylabel = {\n",
    "    'TSKIN':'Skin temperature [K]',\n",
    "    'FGR':'Ground heat flux [W/m$\\mathrm{^{2}}$]',\n",
    "    'FSH':'Sensible heat flux [W/m$\\mathrm{^{2}}$]',\n",
    "    'EFLX_LH_TOT':'Latent heat flux [W/m$\\mathrm{^{2}}$]'\n",
    "}\n",
    "markers = ['o', 's', '^', 'v', 'd']\n",
    "for i, var in enumerate(var_list):\n",
    "    ax = fig.add_subplot(2, 2, i+1)\n",
    "    \n",
    "    for col in range(71,76):\n",
    "        #ds_usp_col[var].sel(column=col).resample(time='M').mean()\\\n",
    "        ds_usp_col[var].sel(column=col).groupby('time.hour').mean('time')\\\n",
    "            .plot(ax=ax, color=color_list[col-71], marker=markers[col-71])\n",
    "    \n",
    "    ax.set_ylabel(ylabel[var], fontsize=12)\n",
    "    ax.tick_params(axis='both', which='major', labelsize=12)\n",
    "    if i in [2,3]:\n",
    "        ax.set_xlabel('Local hour of day', fontsize=14)\n",
    "    else:\n",
    "        ax.set_xlabel('')\n",
    "        ax.set_xticklabels([])\n",
    "    #ax.legend(frameon=False)\n",
    "    ax.set_title('')\n",
    "    ax.set_title(title[i], loc='left', fontweight='bold', fontsize=14)\n",
    "\n",
    "fig.legend(['Roof','Sunwall','Shadewall','Impervious road','Pervious road'], \n",
    "           loc='upper center', frameon=False, ncol=5, bbox_to_anchor=(0.5, 1.05), fontsize=12)\n",
    "fig.tight_layout()\n",
    "fig.savefig('figs/exp1_usp_urban_col.pdf', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "notebookRunGroups": {
     "groupValue": "2"
    }
   },
   "source": [
    "**water balance**\n",
    "$$residual = RAIN + SNOW- EVPA - Qs - Qsb- DelSWE- DelSoilMoist - DelIntercept$$\n",
    "\n",
    "- RAIN: rain from atmosphere\n",
    "- SNOW: snow from atmosphere\n",
    "- EVPA: total evaporation. $EVPA=QVEGT+QVEGE+QSOIL$\n",
    "- QVEGT: canopy transpiration\n",
    "- QVEGE: canopy evaporation\n",
    "- QSOIL: Ground evaporation (soil/snow evaporation + soil/snow sublimation - dew)\n",
    "- Qs: total runoff. $Qs=QOVER+QH2OSFC$\n",
    "- Qsb: subsurface drainage. $Qsb=QDRAI+QDRAI_PERCH$\n",
    "- QDRAI: sub-surface drainage\n",
    "- QDRAI_PERCH: perched wt drainage\n",
    "- DelSWE: delta H2OSNO (snow depth (liquid water)) divided by time-step.\n",
    "- DelSoilMoist: delta SOILH2O (soil moisture) divided by time-step. SOILH2O is the sum of column level SOILLIQ and SOILICE weighed by pervious road (see following code).\n",
    "- DelIntercept: the delta intercept water of roof and pervious road divided by time-step\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds_usp=usp.nc_view(usp_london[1])#.isel(time=slice(2, None))\n",
    "ds_usp_col=usp.nc_view(usp_london[0])#.isel(time=slice(2, None))\n",
    "ds_usp['EVPA'] = ds_usp['QVEGT'] + ds_usp['QVEGE'] + ds_usp['QSOIL']\n",
    "ds_usp['Qs'] = ds_usp['QOVER'] + ds_usp['QH2OSFC']\n",
    "ds_usp['Qsb'] = ds_usp['QDRAI'] + ds_usp['QDRAI_PERCH']\n",
    "ds_usp['DelSWE'] =ds_usp['H2OSNO'].diff('time')/1800\n",
    "\n",
    "ds_usp_col = ds_usp_col.assign_coords({'column':ds_usp_col['cols1d_itype_col']})\n",
    "roof_fra = ds_usp_col['cols1d_wtgcell'].sel(column=71).values\n",
    "road_imp_fra = ds_usp_col['cols1d_wtgcell'].sel(column=74).values\n",
    "road_pre_fra = ds_usp_col['cols1d_wtgcell'].sel(column=75).values\n",
    "ds_usp_col['SOILH2O'] = (1 - roof_fra) \\\n",
    "                        * road_pre_fra / (road_pre_fra + road_imp_fra) \\\n",
    "                        * (ds_usp_col['SOILLIQ'].sel(column=75) + ds_usp_col['SOILICE'].sel(column=75))\n",
    "#ds_usp_col['SOILH2O'] = road_pre_fra * (ds_usp_col['SOILLIQ'].sel(column=75) + ds_usp_col['SOILICE'].sel(column=75))\n",
    "ds_usp_col['Intercept'] = roof_fra *\\\n",
    "                            (ds_usp_col['SOILLIQ'].sel(column=71) + ds_usp_col['SOILICE'].sel(column=71))\\\n",
    "                        + (1-roof_fra)*road_imp_fra/(road_pre_fra+road_imp_fra)\\\n",
    "                        * (ds_usp_col['SOILLIQ'].sel(column=74) + ds_usp_col['SOILICE'].sel(column=74))\n",
    "\n",
    "ds_usp['DelSoilMoist'] = ds_usp_col['SOILH2O'].sum('levsoi').diff('time')/1800\n",
    "ds_usp['DelIntercept'] = ds_usp_col['Intercept'].sum('levsoi').diff('time')/1800\n",
    "\n",
    "ds_usp = ds_usp.isel(time=slice(2, None))\n",
    "water_list = ['RAIN', 'SNOW' ,\n",
    "              'EVPA', 'Qs', 'Qsb', 'DelSoilMoist', 'DelIntercept', 'DelSWE']\n",
    "#color_list = [\"#E02927\",\"#3964DF\",\"#E0C645\",\"#AE02DE\",\"#65D8DF\"]\n",
    "ds_usp_month = ds_usp[water_list].isel(gridcell=0).groupby('time.month')\n",
    "tot = ds_usp_month.mean('time')\n",
    "\n",
    "fig = plt.figure(figsize=(6, 5))\n",
    "ax = fig.add_subplot(211)\n",
    "for i, var in enumerate(water_list):\n",
    "\n",
    "    label = var\n",
    "    tot[var].plot(ax=ax, marker='o', label=label,) \n",
    "    ax.set_xlabel('Month', fontsize=14)\n",
    "    ax.set_ylabel(var, fontsize=14)\n",
    "\n",
    "ax.set_xlabel('')\n",
    "ax.set_ylabel('Flux [mm/s]', fontsize=14)\n",
    "ax.set_title('a', loc='left', fontweight='bold')\n",
    "ax.legend(frameon=False, fontsize=10, loc='upper center', ncol=4, bbox_to_anchor=(0.5, 1.70))\n",
    "\n",
    "ax = fig.add_subplot(212)\n",
    "\n",
    "residual = ds_usp['RAIN'] + ds_usp['SNOW'] \\\n",
    "            - ds_usp['EVPA'] - ds_usp['Qs'] - ds_usp['Qsb'] \\\n",
    "            - ds_usp['DelSWE'] \\\n",
    "            - ds_usp['DelSoilMoist'] - ds_usp['DelIntercept']\n",
    "\n",
    "residual.groupby('time.month').mean('time').plot(ax=ax, marker='o', label='Residual', color='#3964DF')\n",
    "ax.set_xlabel('Month of year', fontsize=14)\n",
    "ax.set_ylabel('Residual [mm/s]', fontsize=14)\n",
    "\n",
    "ax.set_title('b', loc='left', fontweight='bold', fontsize=14)\n",
    "\n",
    "ax.set_ylim(-1e12,1e12)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('figs/exp1_usp_water.pdf', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "notebookRunGroups": {
     "groupValue": "2"
    }
   },
   "source": [
    "**human heat stress index**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TSA [279.59 278.31 280.55 282.82 286.78 289.17 292.96 292.77 289.01 286.21\n",
      " 281.78 280.45]\n",
      "HIA [ 6.44  5.16  7.44  9.72 13.81 16.44 20.41 20.58 16.11 13.09  8.63  7.3 ]\n",
      "SWBGT [10.56  9.43 10.98 12.51 15.65 17.64 20.53 20.55 17.61 15.81 12.2  11.27]\n",
      "WBT [ 4.19  2.6   4.45  6.15  9.68 11.9  14.66 14.77 11.9  10.3   6.2   5.17]\n",
      "HUMIDEX [ 5.08  3.23  5.87  8.48 13.7  16.99 21.82 21.82 16.91 13.82  7.83  6.26]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(6, 5))\n",
    "dis_list = ['HIA','SWBGT','WBT', 'HUMIDEX']\n",
    "\n",
    "ax = fig.add_subplot(211)\n",
    "mean = ds_usp['TSA'].sel(gridcell=0).groupby('time.month').mean('time')\n",
    "std = ds_usp['TSA'].sel(gridcell=0).groupby('time.month').std('time')\n",
    "mean.plot(ax=ax, marker='o',color='#E02927')\n",
    "#ax.fill_between(mean['month'].values, mean - std, mean + std, alpha=0.2, color='#E02927')\n",
    "ax.set_xlabel('')\n",
    "ax.tick_params(axis='both', which='major', labelsize=12)\n",
    "ax.set_ylabel('Air temperature [K]', fontsize=14)\n",
    "ax.set_title('a', loc='left', fontweight='bold', fontsize=14)\n",
    "ax.legend(frameon=False)\n",
    "print('TSA', mean.values.round(2))\n",
    "\n",
    "ax2 = ax.twinx()\n",
    "mean = ds_usp['RH2M'].sel(gridcell=0).groupby('time.month').mean('time')\n",
    "mean.plot(ax=ax2, marker='o', color='#3964DF')#color_list = [\"#E02927\",\"#3964DF\"]\n",
    "std = ds_usp['RH2M'].sel(gridcell=0).groupby('time.month').std('time')\n",
    "#ax2.fill_between(mean['month'].values, mean - std, mean + std, alpha=0.2, color='#3964DF')\n",
    "ax2.set_ylabel('Relative humidity [%]', color='#3964DF', fontsize=14)\n",
    "ax2.tick_params(axis='y', labelcolor='#3964DF', labelsize=12)\n",
    "\n",
    "ax = fig.add_subplot(212)\n",
    "color_list = [\"#AE02DE\",\"#E02927\",\"#3964DF\",\"#E0C645\"]\n",
    "tot = ds_usp[dis_list].sel(gridcell=0)\n",
    "\n",
    "for var in dis_list:\n",
    "    mean = tot[var].groupby('time.month').mean('time')\n",
    "    std = tot[var].groupby('time.month').std('time')\n",
    "    color = color_list.pop(0)\n",
    "    mean.plot(ax=ax, label=var, marker='o', color=color)\n",
    "    print(var, mean.values.round(2))\n",
    "    #ax.plot(mean, label=var, marker='o', color=color_list.pop(0))\n",
    "    #ax.fill_between(mean['month'].values, mean - std, mean + std, alpha=0.2, color=color)\n",
    "\n",
    "ax.set_ylim(0, 27)\n",
    "ax.set_xlabel('Month of year', fontsize=14)\n",
    "ax.set_ylabel('Heat stress index [°C]', fontsize=14)\n",
    "ax.tick_params(axis='both', which='major', labelsize=12)\n",
    "ax.set_title('b', loc='left', fontweight='bold', fontsize=14)\n",
    "ax.legend(frameon=False, fontsize=10, ncol=4, loc='upper right')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('figs/exp1_usp_urban_heat_stress.pdf', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**clean up the case files**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "usp.case_clean()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "pymet",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}