{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Figure S1 forest area of all models as well as LUH2 (not anomaly)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "import copy\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import netCDF4 as nc\n",
    "import pandas as pd\n",
    "import sys\n",
    "import xarray as xr\n",
    "sys.path.append('../')\n",
    "\n",
    "from my_io import Figure1\n",
    "# BOTH = False\n",
    "# OAE = False\n",
    "# AFF = False\n",
    "OAE_STOP = False\n",
    "ppm2GtCO2 = 2.124/0.272912\n",
    "ppm2PgC =  2.124/0.272912 * 12.01 / 44.0095\n",
    "fontsize = 18\n",
    "def ens_values(df_list,var_name):\n",
    "    # df_list: a list of DataFrame\n",
    "    yrstart = 2015\n",
    "    diff_realizaions = [] # (nreal,nyear)\n",
    "    for ireal in range(len(df_list)):\n",
    "        diff_realizaions.append([])\n",
    "    for iyear in range(yrstart,2100):\n",
    "        for ireal in range(len(df_list)):\n",
    "            diff_realizaions[ireal].append(df_list[ireal][var_name].loc[iyear])           \n",
    "    diff_realizaions = np.array(diff_realizaions)\n",
    "    ens_mean = np.average(diff_realizaions,axis=0)\n",
    "    ens_min = np.min(diff_realizaions,axis=0)\n",
    "    ens_max = np.max(diff_realizaions,axis=0)\n",
    "    ens_stddev = np.std(diff_realizaions,axis=0)\n",
    "    yrindex = np.array(range(yrstart,2100)) \n",
    "    df_ens = pd.DataFrame(data=ens_max - ens_min, index=yrindex, columns=['ens_range'])\n",
    "    df_ens['ens_mean'] = ens_mean\n",
    "    df_ens['ens_min'] = ens_min\n",
    "    df_ens['ens_max'] = ens_max\n",
    "    return df_ens"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* A/R (LUMIP)\n",
    "    * except for NorESM\n",
    "    * no treeFrac\n",
    "        * CESM2, MIROC-ES2L\n",
    "    * no co2 concentration\n",
    "        * CanESM5\n",
    "* OAE (CDRMIP)\n",
    "    * FOCI, MPI-ESM, NorESM2-LM, UKESM1-0-LL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ACCESS-ESM1-5 C0\n",
      "CESM2 C1\n",
      "CanESM5 C2\n",
      "FOCI C3\n",
      "MIROC-ES2L C4\n",
      "MPI-ESM1-2-LR C5\n",
      "NorESM2-LM C6\n",
      "UKESM1-0-LL C7\n"
     ]
    }
   ],
   "source": [
    "model_list = ['ACCESS-ESM1-5', 'CESM2', 'CanESM5', \n",
    "              'FOCI', 'MIROC-ES2L', 'MPI-ESM1-2-LR',\n",
    "              'NorESM2-LM','UKESM1-0-LL']\n",
    "# model_list = ['ACCESS-ESM', 'CESM', 'CanESM', \n",
    "#               'FOCI', 'MIROC', 'MPI-ESM',\n",
    "#               'NorESM2','UKESM']\n",
    "color_list = []\n",
    "for imodel in range(len(model_list)):\n",
    "    color_list.append('C'+str(imodel))\n",
    "    print(model_list[imodel],color_list[imodel])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1200x500 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plt.subplots(constrained_layout=True)\n",
    "fig = plt.figure(figsize=(12,5),layout='constrained')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "'''\n",
    "LUH2 forest area\n",
    "'''\n",
    "dir_name = '/scratch/projects/shk00056/LUH2/'\n",
    "ds_126 = xr.open_mfdataset(dir_name + 'multiple-states_input4MIPs_landState_ScenarioMIP_UofMD-IMAGE-ssp126-2-1-f_gn_2015-2100.nc',decode_times=False)\n",
    "ds_585 = xr.open_mfdataset(dir_name + 'multiple-states_input4MIPs_landState_ScenarioMIP_UofMD-MAGPIE-ssp585-2-1-f_gn_2015-2100.nc',decode_times=False)\n",
    "ds_static = xr.open_mfdataset(dir_name + 'staticData_quarterdeg.nc')\n",
    "ds_add_126 = xr.open_mfdataset(dir_name + 'added_tree_cover_input4MIPs_landState_ScenarioMIP_UofMD-IMAGE-ssp126-2-1-f_gn_2015-2100.nc',decode_times=False)\n",
    "ds_add_585 = xr.open_mfdataset(dir_name + 'added_tree_cover_input4MIPs_landState_ScenarioMIP_UofMD-MAGPIE-ssp585-2-1-f_gn_2015-2100.nc',decode_times=False)\n",
    "foo = (ds_126['primf'] * ds_static['carea']).sum(axis=(1,2)).values \n",
    "primf126 = foo * 100 /1e6 # Mha\n",
    "foo = (ds_585['primf'] * ds_static['carea']).sum(axis=(1,2)).values \n",
    "primf585 = foo * 100 /1e6 # Mha\n",
    "foo = (ds_126['secdf'] * ds_static['carea']).sum(axis=(1,2)).values \n",
    "secdf126 = foo * 100 /1e6 # Mha\n",
    "foo = (ds_585['secdf'] * ds_static['carea']).sum(axis=(1,2)).values \n",
    "secdf585 = foo * 100 /1e6 # Mha\n",
    "foo = (ds_add_126['added_tree_cover'] * ds_static['carea']).sum(axis=(1,2)).values\n",
    "add126 = foo * 100 /1e6 # Mha\n",
    "foo = (ds_add_585['added_tree_cover'] * ds_static['carea']).sum(axis=(1,2)).values\n",
    "add585 = foo * 100 /1e6 # Mha\n",
    "total126 = primf126[:85] + secdf126[:85] + add126 \n",
    "total585 = primf585[:85] + secdf585[:85]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "fig 1a no CESM2\n",
      "fig 1a no MIROC-ES2L\n",
      "fig 1a no NorESM2-LM\n"
     ]
    }
   ],
   "source": [
    "# fig 1a anomaly in forest area AR\n",
    "ax = fig.add_subplot(121)\n",
    "ax = fig.add_subplot(122)\n",
    "for imodel in range(len(model_list)):\n",
    "    # CanESM is much higher so use another subplot\n",
    "    if model_list[imodel]=='CanESM5':\n",
    "        ax = fig.get_axes()[1]\n",
    "    else:\n",
    "        ax = fig.get_axes()[0]\n",
    "    ####\n",
    "    if model_list[imodel]=='FOCI':\n",
    "        fig1=Figure1('tree','AFF')\n",
    "        fig1.read_FOCI()\n",
    "        yrstart = 2015\n",
    "        for ii in range(3):\n",
    "            diff = fig1.dflist[2][ii]['tree']# - fig1.dflist[0][ii]['tree']\n",
    "            diff_REF = fig1.dflist[0][ii]['tree']\n",
    "#             ax.plot(range(2015,2100),diff,'--',linewidth=1,color=color_list[imodel])\n",
    "        df_ens = ens_values([fig1.dflist[2][0],#-fig1.dflist[0][0],\n",
    "                             fig1.dflist[2][1],#-fig1.dflist[0][1],\n",
    "                             fig1.dflist[2][2]],'tree')\n",
    "        df_ens_REF = ens_values([fig1.dflist[0][0],#-fig1.dflist[0][0],\n",
    "                                 fig1.dflist[0][1],#-fig1.dflist[0][1],\n",
    "                                 fig1.dflist[0][2]],'tree')\n",
    "        ax.fill_between(range(yrstart,2100), df_ens['ens_min'], df_ens['ens_max'] ,alpha=0.3, facecolor=color_list[imodel])\n",
    "        ax.fill_between(range(yrstart,2100), df_ens_REF['ens_min'], df_ens_REF['ens_max'] ,alpha=0.3, facecolor=color_list[imodel])\n",
    "        ax.plot(range(yrstart,2100),df_ens['ens_mean'],'-',linewidth=2,color=color_list[imodel],label='FOCI')\n",
    "        ax.plot(range(yrstart,2100),df_ens_REF['ens_mean'],'--',linewidth=2,color=color_list[imodel],label='FOCI')\n",
    "        ########\n",
    "    elif model_list[imodel]=='MPI-ESM1-2-LR':\n",
    "        fig1.read_MPIESM()\n",
    "        for ii in range(3):\n",
    "            diff = fig1.dflist[2][ii]['tree']# - fig1.dflist[0][ii]['tree']\n",
    "            diff_REF = fig1.dflist[0][ii]['tree']# - fig1.dflist[0][ii]['tree']\n",
    "#             ax.plot(range(2015,2100),diff,'--',linewidth=1,color=color_list[imodel])\n",
    "        df_ens = ens_values([fig1.dflist[2][0],#-fig1.dflist[0][0],\n",
    "                             fig1.dflist[2][1],#-fig1.dflist[0][1],\n",
    "                             fig1.dflist[2][2]],'tree')\n",
    "        df_ens_REF = ens_values([fig1.dflist[0][0],#-fig1.dflist[0][0],\n",
    "                                 fig1.dflist[0][1],#-fig1.dflist[0][1],\n",
    "                                 fig1.dflist[0][2]],'tree')\n",
    "        ax.fill_between(range(yrstart,2100), df_ens['ens_min'], df_ens['ens_max'] ,alpha=0.3, facecolor=color_list[imodel])\n",
    "        ax.fill_between(range(yrstart,2100), df_ens_REF['ens_min'], df_ens_REF['ens_max'] ,alpha=0.3, facecolor=color_list[imodel])\n",
    "        ax.plot(range(yrstart,2100),df_ens['ens_mean'],'-',linewidth=2,color=color_list[imodel],label='MPI-ESM')\n",
    "        ax.plot(range(yrstart,2100),df_ens_REF['ens_mean'],'--',linewidth=2,color=color_list[imodel],label='MPI-ESM')\n",
    "        ########\n",
    "    else:\n",
    "        try:\n",
    "            var_name, exp = 'tree', 'AFF' \n",
    "            fig1=Figure1(var_name,exp)\n",
    "            fig1.read_model(model_list[imodel])\n",
    "            ax.plot(fig1.dflist[2][0].index,fig1.dflist[2][0]['tree'],'-',color=color_list[imodel],label=model_list[imodel],linewidth=2)\n",
    "            ax.plot(fig1.dflist[2][0].index,fig1.dflist[0][0]['tree'],'--',color=color_list[imodel],label=model_list[imodel],linewidth=2)\n",
    "\n",
    "        except:\n",
    "            print(f'fig 1a no {model_list[imodel]}')\n",
    "#######\n",
    "bar, = fig.get_axes()[0].plot(range(2015,2100),total126,'-',color='k',label='SSP1-2.6',linewidth=2)\n",
    "foo, = fig.get_axes()[0].plot(range(2015,2100),total585,'--',color='k',label='SSP5-8.5',linewidth=2)\n",
    "fig.get_axes()[0].legend([bar,foo],['SSP1-2.6 (LUH2)','SSP5-8.5 (LUH2)'],loc = 'best', fontsize=fontsize)\n",
    "fig.get_axes()[0].set_ylim([3200,4600])\n",
    "fig.get_axes()[1].set_ylim([5800,7200])\n",
    "for isubplot in [0,1]:\n",
    "    ax = fig.get_axes()[isubplot]\n",
    "    ax.tick_params(labelsize=fontsize)\n",
    "    ax.grid()\n",
    "    # fig.suptitle('(a) Forest area',fontsize=fontsize)\n",
    "#     ax.set_title('Forest area',fontsize=fontsize)\n",
    "    # plt.savefig('fig/figure1a.png',bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "add figure labels and legend\n",
    "'''\n",
    "fig.suptitle('Forest area', fontsize = 20,)\n",
    "fig.supylabel('Mha', fontsize = 20,)\n",
    "# legend\n",
    "import matplotlib.patches as mpatches\n",
    "handles = []\n",
    "for imodel in range(len(model_list)):\n",
    "    patch = mpatches.Patch(color=color_list[imodel], label=model_list[imodel])\n",
    "    handles.append(patch) \n",
    "fig.legend(handles=handles, loc='outside lower left',fontsize=fontsize,ncol=4,bbox_to_anchor=(0.05, -0.33))\n",
    "######\n",
    "from matplotlib.lines import Line2D\n",
    "line_solid = Line2D([], [], color='black', linestyle='-', linewidth=2, label='A/R')\n",
    "line_dashed = Line2D([], [], color='black', linestyle='--', linewidth=2, label='REF')\n",
    "handles.extend([line_solid, line_dashed])\n",
    "fig.legend(handles=[line_solid, line_dashed], loc='outside lower left',fontsize=fontsize,ncol=2,bbox_to_anchor=(0.05, -0.15))\n",
    "# fig.tight_layout()\n",
    "# fig.subplots_adjust(bottom=0.21,wspace=0.27,hspace=0.35)\n",
    "# fig.subplots_adjust(bottom=0.21)\n",
    "\n",
    "fig"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "co2sys",
   "language": "python",
   "name": "co2sys"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
