{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Figure 1\n", "\n", "Time seris of different variables. Different models are shown in the same subplots. The first row shows *A/R*-*REF* and the second row *OAE*-*REF*." ] }, { "cell_type": "code", "execution_count": 1, "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", "from my_io import Figure1\n", "#####\n", "ppm2GtCO2 = 2.124/0.272912\n", "ppm2PgC = 2.124/0.272912 * 12.01 / 44.0095\n", "fontsize = 18\n", "#####\n", "def ens_values(df_list,var_name,yrstart=2015):\n", " \"\"\"\n", " calculate ensemble values (mean, min, max, stddev)\n", " df_list: a list of DataFrame\n", " \"\"\"\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", " df_ens['ens_stddev'] = ens_stddev\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": 2, "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", "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": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(21,8))\n" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "\"\"\"\n", "LUH2 forest area\n", "\"\"\"\n", "# dir_name = '/scratch/usr/shkhwwey/LUH2/'\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": 5, "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" ] }, { "data": { "text/plain": [ "Text(0.5, 1.0, '(a) Forest area')" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "\"\"\"\n", "fig 1a anomaly in forest area AR\n", "\"\"\"\n", "ax = fig.add_subplot(241)\n", "yrstart = 2015\n", "for imodel in range(len(model_list)):\n", " if model_list[imodel]=='FOCI':\n", " fig1=Figure1('tree','AFF')\n", " fig1.read_FOCI()\n", "\n", " for ii in range(3):\n", " diff = fig1.dflist[2][ii]['tree'] - fig1.dflist[0][ii]['tree']\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]-fig1.dflist[0][2]],'tree')\n", " ax.fill_between(range(yrstart,2100), df_ens['ens_min'], df_ens['ens_max'] ,alpha=0.2, facecolor=color_list[imodel])\n", " ax.plot(range(yrstart,2100),df_ens['ens_mean'],'-',linewidth=1.5,color=color_list[imodel],label='FOCI')\n", " ########\n", " elif model_list[imodel]=='MPI-ESM1-2-LR':\n", " fig1=Figure1('tree','AFF')\n", " fig1.read_MPIESM()\n", " for ii in range(3):\n", " diff = fig1.dflist[2][ii]['tree'] - fig1.dflist[0][ii]['tree']\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]-fig1.dflist[0][2]],'tree')\n", " ax.fill_between(range(yrstart,2100), df_ens['ens_min'], df_ens['ens_max'] ,alpha=0.2, facecolor=color_list[imodel])\n", " ax.plot(range(yrstart,2100),df_ens['ens_mean'],'-',linewidth=1.5,color=color_list[imodel],label='MPI-ESM')\n", " ########\n", " elif model_list[imodel]=='ACCESS-ESM1-5':\n", " fig1=Figure1('tree','foo')\n", " fig1.read_ACCESS_ensemble(debug=True)\n", " foo = []\n", " for ireal in range(10):\n", " foo.append(fig1.dflist[1][ireal]-fig1.dflist[0][ireal])\n", " df_ens = ens_values(foo,'tree')\n", " ax.fill_between(range(yrstart,2100), df_ens['ens_min'], df_ens['ens_max'] ,alpha=0.2, facecolor=color_list[imodel])\n", " ax.plot(range(yrstart,2100),df_ens['ens_mean'],'-',linewidth=1.5,color=color_list[imodel],label='ACCESS')\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']-fig1.dflist[0][0]['tree'],'-',color=color_list[imodel],label=model_list[imodel],linewidth=1.5)\n", " except:\n", " print(f'fig 1a no {model_list[imodel]}')\n", "foo, = ax.plot(range(2015,2100),total126-total585,'-.',color='k',label='LUH2',linewidth=1.5)\n", "#######\n", "ax.tick_params(labelsize=fontsize)\n", "ax.set_ylabel('Mha', fontsize = fontsize)\n", "ax.grid()\n", "ax.legend([foo],['LUH2'],loc = 'best', fontsize=fontsize)\n", "ax.set_title('(a) Forest area',fontsize=fontsize)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/sw/tools/anaconda3/2019.10/skl/lib/python3.7/site-packages/numpy/core/_methods.py:151: RuntimeWarning: invalid value encountered in reduce\n", " ret = umr_sum(arr, axis, dtype, out, keepdims)\n", "/sw/tools/anaconda3/2019.10/skl/lib/python3.7/site-packages/numpy/core/_methods.py:183: RuntimeWarning: invalid value encountered in reduce\n", " arrmean = umr_sum(arr, axis, dtype, keepdims=True)\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "fig 1b no CESM2\n", "fig 1b no MIROC-ES2L\n", "fig 1b no NorESM2-LM\n" ] }, { "data": { "text/plain": [ "Text(0.5, 1.0, '(b) A/R Efficacy')" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "\"\"\"\n", "fig 1b anomaly in d_cLand/d_tree AR\n", "\"\"\"\n", "ax = fig.add_subplot(242)\n", "yrstart = 2015\n", "for imodel in range(len(model_list)):\n", " if model_list[imodel]=='FOCI':\n", " ######\n", " # FOCI\n", " difflist = []\n", " for ireal in range(3):\n", " var_name, exp = 'cLand', 'BOTH' \n", " fig1=Figure1(var_name,exp)\n", " fig1.read_FOCI()\n", " ###### \n", " # calculate d_cLand / d_forest\n", " d_cLand = fig1.dflist[2][ireal]['cLand']-fig1.dflist[0][ireal]['cLand']\n", " fig1=Figure1('tree','AFF')\n", " fig1.read_FOCI()\n", " d_forest = fig1.dflist[2][ireal]['tree']-fig1.dflist[0][ireal]['tree']\n", " # convert from Pg/Mha to t/ha\n", " diff = d_cLand / d_forest * 1e3 \n", " ######\n", " difflist.append(diff.to_frame())\n", " df_ens = ens_values(difflist,0)\n", " ax.fill_between(range(yrstart,2100), df_ens['ens_min'], df_ens['ens_max'] ,alpha=0.2, facecolor=color_list[imodel])\n", " ax.plot(range(yrstart,2100),df_ens['ens_mean'],'-',linewidth=1.5,color=color_list[imodel],label='FOCI')\n", " #####\n", " elif model_list[imodel]=='MPI-ESM1-2-LR':\n", " # MPI-ESM\n", " difflist = []\n", " for ireal in range(3):\n", " var_name, exp = 'cLand', 'AFF' \n", " fig1=Figure1(var_name,exp)\n", " fig1.read_MPIESM()\n", " d_cLand = fig1.dflist[2][ireal]['cLand']-fig1.dflist[0][ireal]['cLand']\n", " fig1=Figure1('tree','AFF')\n", " fig1.read_MPIESM()\n", " d_forest = fig1.dflist[2][ireal]['tree']-fig1.dflist[0][ireal]['tree']\n", " # convert from Pg/Mha to t/ha\n", " diff = d_cLand / d_forest * 1e3 \n", " difflist.append(diff.to_frame())\n", " df_ens = ens_values(difflist,0)\n", " ax.fill_between(range(yrstart,2100), df_ens['ens_min'], df_ens['ens_max'] ,alpha=0.2, facecolor=color_list[imodel])\n", " ax.plot(range(yrstart,2100),df_ens['ens_mean'],'-',linewidth=1.5,color=color_list[imodel],label='MPI-ESM')\n", " elif model_list[imodel]=='ACCESS-ESM1-5':\n", " foo = []\n", " for ireal in range(10):\n", " fig1=Figure1('cLand','foo')\n", " fig1.read_ACCESS_ensemble(debug=True)\n", " d_cLand = fig1.dflist[1][ireal]['cLand']-fig1.dflist[0][ireal]['cLand']\n", " fig1=Figure1('tree','foo')\n", " fig1.read_ACCESS_ensemble(debug=True)\n", " d_forest = fig1.dflist[1][ireal]['tree']-fig1.dflist[0][ireal]['tree']\n", " diff = d_cLand / d_forest * 1e3\n", " foo.append(diff.to_frame())\n", " df_ens = ens_values(foo,0)\n", " ax.fill_between(range(yrstart,2100), df_ens['ens_min'], df_ens['ens_max'] ,alpha=0.2, facecolor=color_list[imodel])\n", " ax.plot(range(yrstart,2100),df_ens['ens_mean'],'-',linewidth=1.5,color=color_list[imodel],label='ACCESS')\n", "#########\n", " else:\n", " try:\n", " var_name, exp = 'cLand', 'AFF' \n", " fig1=Figure1(var_name,exp)\n", " fig1.read_model(model_list[imodel])\n", " d_cLand = fig1.dflist[2][0]['cLand']-fig1.dflist[0][0]['cLand']\n", " var_name, exp = 'tree', 'AFF' \n", " fig1=Figure1(var_name,exp)\n", " fig1.read_model(model_list[imodel])\n", " d_forest = fig1.dflist[2][0]['tree']-fig1.dflist[0][0]['tree']\n", " ax.plot(d_cLand/d_forest * 1e3,'-',color=color_list[imodel],label=model_list[imodel],linewidth=1.5)\n", " except:\n", " print(f'fig 1b no {model_list[imodel]}')\n", "#####\n", "ax.tick_params(labelsize=fontsize)\n", "ax.set_ylabel('tC/ha', fontsize = fontsize)\n", "ax.grid()\n", "ax.set_ylim([-100,400])\n", "ax.set_title('(b) A/R Efficacy',fontsize=fontsize)\n" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "fig 1c no CanESM5\n", "fig 1c no NorESM2-LM\n" ] }, { "data": { "text/plain": [ "Text(0.5, 1.0, '(c) CO$_2$ concentration')" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "\"\"\"\n", "fig 1c anomaly in co2 AR\n", "\"\"\"\n", "ax = fig.add_subplot(243)\n", "for imodel in range(len(model_list)):\n", " if model_list[imodel]=='FOCI':\n", " fig1=Figure1('co2_concentration','AFF')\n", " fig1.read_FOCI()\n", " yrstart = 2015\n", " for ii in range(3):\n", " diff = fig1.dflist[2][ii]['co2_concentration'] - fig1.dflist[0][ii]['co2_concentration']\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]-fig1.dflist[0][2]],'co2_concentration')\n", " ax.fill_between(range(yrstart,2100), df_ens['ens_min'], df_ens['ens_max'] ,alpha=0.2, facecolor=color_list[imodel])\n", " ax.plot(range(yrstart,2100),df_ens['ens_mean'],'-',linewidth=1.5,color=color_list[imodel],label='FOCI')\n", " elif model_list[imodel]=='MPI-ESM1-2-LR':\n", " ########\n", " fig1.read_MPIESM()\n", " for ii in range(3):\n", " diff = fig1.dflist[2][ii]['co2_concentration'] - fig1.dflist[0][ii]['co2_concentration']\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]-fig1.dflist[0][2]],'co2_concentration')\n", " ax.fill_between(range(yrstart,2100), df_ens['ens_min'], df_ens['ens_max'] ,alpha=0.2, facecolor=color_list[imodel])\n", " ax.plot(range(yrstart,2100),df_ens['ens_mean'],'-',linewidth=1.5,color=color_list[imodel],label='MPI-ESM')\n", " elif model_list[imodel]=='ACCESS-ESM1-5':\n", " fig1=Figure1('co2_concentration','foo')\n", " fig1.read_ACCESS_ensemble(debug=True)\n", " foo = []\n", " for ireal in range(10):\n", " foo.append(fig1.dflist[1][ireal]-fig1.dflist[0][ireal])\n", " df_ens = ens_values(foo,'co2_concentration')\n", " ax.fill_between(range(yrstart,2100), df_ens['ens_min'], df_ens['ens_max'] ,alpha=0.2, facecolor=color_list[imodel])\n", " ax.plot(range(yrstart,2100),df_ens['ens_mean'],'-',linewidth=1.5,color=color_list[imodel],label='ACCESS')\n", " else:\n", " try:\n", " var_name, exp = 'co2_concentration', '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]['co2_concentration'].loc[:]-fig1.dflist[0][0]['co2_concentration'].loc[fig1.dflist[2][0].index],\n", " '-',color='C'+str(imodel),label=model_list[imodel],linewidth=1.5)\n", " except:\n", " print(f'fig 1c no {model_list[imodel]}')\n", "#######\n", "ax.tick_params(labelsize=fontsize)\n", "ax.set_ylabel('ppm', fontsize = fontsize)\n", "ax.grid()\n", "ax.set_title('(c) CO$_2$ concentration',fontsize=fontsize)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "FOCI 2050-2059 mean -0.14249746202727245\n", "fig 1d no NorESM2-LM\n" ] }, { "data": { "text/plain": [ "Text(0.5, 1.0, '(d) 2-m temperature')" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "\"\"\"\n", "fig 1d anomaly in temp2 AR\n", "\"\"\"\n", "ax = fig.add_subplot(244)\n", "for imodel in range(len(model_list)):\n", " if model_list[imodel]=='FOCI':\n", " fig1=Figure1('temp2','AFF')\n", " fig1.read_FOCI()\n", " yrstart = 2015\n", " for ii in range(3):\n", " diff = fig1.dflist[2][ii]['temp2'] - fig1.dflist[0][ii]['temp2']\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]-fig1.dflist[0][2]],'temp2')\n", " print('FOCI 2050-2059 mean',df_ens['ens_mean'].loc[2050:2059].mean())\n", " ax.fill_between(range(yrstart,2100), df_ens['ens_min'], df_ens['ens_max'] ,alpha=0.2, facecolor=color_list[imodel])\n", " ax.plot(range(yrstart,2100),df_ens['ens_mean'],'-',linewidth=1.5,color=color_list[imodel],label='FOCI')\n", " ########\n", " elif model_list[imodel]=='MPI-ESM1-2-LR':\n", " fig1=Figure1('temp2','AFF')\n", " fig1.read_MPIESM()\n", " for ii in range(3):\n", " diff = fig1.dflist[2][ii]['temp2'] - fig1.dflist[0][ii]['temp2']\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]-fig1.dflist[0][2]],'temp2')\n", " ax.fill_between(range(yrstart,2100), df_ens['ens_min'], df_ens['ens_max'] ,alpha=0.2, facecolor=color_list[imodel])\n", " ax.plot(range(yrstart,2100),df_ens['ens_mean'],'-',linewidth=1.5,color=color_list[imodel],label='MPI-ESM')\n", " elif model_list[imodel]=='ACCESS-ESM1-5':\n", " fig1=Figure1('tas','foo')\n", " fig1.read_ACCESS_ensemble(debug=True)\n", " foo = []\n", " for ireal in range(10):\n", " foo.append(fig1.dflist[1][ireal]-fig1.dflist[0][ireal])\n", " df_ens = ens_values(foo,'tas')\n", " ax.fill_between(range(yrstart,2100), df_ens['ens_min'], df_ens['ens_max'] ,alpha=0.2, facecolor=color_list[imodel])\n", " ax.plot(range(yrstart,2100),df_ens['ens_mean'],'-',linewidth=1.5,color=color_list[imodel],label='ACCESS')\n", " else:\n", " try:\n", " var_name, exp = 'tas', '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]['tas'].loc[:]-fig1.dflist[0][0]['tas'].loc[fig1.dflist[2][0].index],\n", " '-',color='C'+str(imodel),label=model_list[imodel],linewidth=1.5)\n", " except:\n", " print(f'fig 1d no {model_list[imodel]}')\n", "#######\n", "ax.tick_params(labelsize=fontsize)\n", "ax.set_ylabel('degC', fontsize = fontsize)\n", "ax.grid()\n", "ax.set_title('(d) 2-m temperature',fontsize=fontsize)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "fig 1e no ACCESS-ESM1-5\n", "fig 1e no CESM2\n", "fig 1e no CanESM5\n", "fig 1e no MIROC-ES2L\n" ] }, { "data": { "text/plain": [ "Text(0.5, 1.0, '(e) Top 100m alkalinity')" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "\"\"\"\n", "fig 1e anomaly in top100m alkalinity OAE\n", "\"\"\"\n", "ax = fig.add_subplot(245)\n", "for imodel in range(len(model_list)):\n", " if model_list[imodel]=='FOCI':\n", " fig1=Figure1('top100m_alkalinity','OAE')\n", " fig1.read_FOCI()\n", " yrstart = 2015\n", " for ii in range(3):\n", " diff = fig1.dflist[1][ii]['top100m_alkalinity'] - fig1.dflist[0][ii]['top100m_alkalinity']\n", " df_ens = ens_values([fig1.dflist[1][0]-fig1.dflist[0][0],\n", " fig1.dflist[1][1]-fig1.dflist[0][1],\n", " fig1.dflist[1][2]-fig1.dflist[0][2]],'top100m_alkalinity')\n", " ax.fill_between(range(yrstart,2100), df_ens['ens_min'], df_ens['ens_max'] ,alpha=0.2, facecolor='C'+str(imodel))\n", " ax.plot(range(yrstart,2100),df_ens['ens_mean'],'-',linewidth=1.5,color='C'+str(imodel),label='FOCI')\n", " ########\n", " elif model_list[imodel]=='MPI-ESM1-2-LR':\n", " fig1=Figure1('top100m_alkalinity','OAE')\n", " fig1.read_MPIESM()\n", " for ii in range(3):\n", " diff = fig1.dflist[1][ii]['top100m_alkalinity'] - fig1.dflist[0][ii]['top100m_alkalinity']\n", " df_ens = ens_values([fig1.dflist[1][0]-fig1.dflist[0][0],\n", " fig1.dflist[1][1]-fig1.dflist[0][1],\n", " fig1.dflist[1][2]-fig1.dflist[0][2]],'top100m_alkalinity')\n", " ax.fill_between(range(yrstart,2100), df_ens['ens_min'], df_ens['ens_max'] ,alpha=0.2, facecolor='C'+str(imodel))\n", " ax.plot(range(yrstart,2100),df_ens['ens_mean'],'-',linewidth=1.5,color='C'+str(imodel),label='MPI-ESM')\n", "########\n", " else:\n", " try:\n", " var_name, exp = 'top100m_alkalinity', 'AFF' \n", " fig1=Figure1(var_name,exp)\n", " fig1.read_model(model_list[imodel])\n", " ax.plot(fig1.dflist[1][0].index,fig1.dflist[1][0]['top100m_alkalinity'].loc[:]-fig1.dflist[0][0]['top100m_alkalinity'].loc[fig1.dflist[1][0].index],\n", " '-',color='C'+str(imodel),label=model_list[imodel],linewidth=1.5)\n", " except:\n", " print(f'fig 1e no {model_list[imodel]}')\n", "# #######\n", "ax.tick_params(labelsize=fontsize)\n", "ax.set_ylabel('umol/kg', fontsize = fontsize)\n", "ax.grid()\n", "ax.set_title('(e) Top 100m alkalinity',fontsize=fontsize)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "fig 1f no ACCESS-ESM1-5\n", "fig 1f no CESM2\n", "fig 1f no CanESM5\n", "fig 1f no MIROC-ES2L\n" ] }, { "data": { "text/plain": [ "Text(0, 0.5, 'mol/mol')" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "\"\"\"\n", "fig 1f efficacy OAE\n", "\"\"\"\n", "#######\n", "def cOcean_from_fgco2(df,yrstart):\n", " \"\"\"\n", " calculate ocean carbon given annual air-sea CO2 flux (fgco2)\n", " return a DataFrame\n", " \"\"\"\n", " cOcean = []\n", " for year in range(yrstart,2100):\n", " cOcean.append(df['fgco2'].loc[yrstart:year].sum())\n", " cOcean = np.array(cOcean)\n", " cOcean = pd.DataFrame(data=cOcean, index=range(yrstart,2100), columns=['cOcean'])\n", " cOcean.index.name = 'year'\n", " return cOcean\n", "#######\n", "ax = fig.add_subplot(246)\n", "######\n", "TA_added = [0.,0.,0.,0.,0.]\n", "TA_added.extend( 0.14 * (np.array(range(2020,2100)) - 2019))\n", "TA_added = np.array(TA_added)\n", "TA_added = pd.DataFrame(data=TA_added, index=range(2015,2100), columns=['TA_added'])\n", "TA_added.index.name = 'year'\n", "#######\n", "for imodel in range(len(model_list)):\n", " ###### FOCI\n", " if model_list[imodel]=='FOCI':\n", " var_name, exp = 'fgco2', 'BOTH' \n", " fig1=Figure1(var_name,exp)\n", " fig1.read_FOCI()\n", " cOcean = []\n", " for iexp in range(3):\n", " cOcean.append([])\n", " for ireal in range(3):\n", " cOcean[iexp].append(cOcean_from_fgco2(fig1.dflist[iexp][ireal],2015))\n", " bar = []\n", " for ireal in range(3):\n", " d_cOcean_OAE = cOcean[1][ireal]['cOcean'] - cOcean[0][ireal]['cOcean']\n", " foo = d_cOcean_OAE / 12.0107 / TA_added['TA_added']\n", " bar.append(foo.to_frame())\n", " df_ens = ens_values(bar,0)\n", " ax.fill_between(range(yrstart,2100), df_ens['ens_min'], df_ens['ens_max'] ,alpha=0.2, facecolor='C'+str(imodel))\n", " ax.plot(range(yrstart,2100),df_ens['ens_mean'],'-',linewidth=1.5,color='C'+str(imodel),label='FOCI')\n", " ########## MPI-ESM\n", " elif model_list[imodel]=='MPI-ESM1-2-LR':\n", " var_name, exp = 'fgco2', 'OAE' \n", " fig1=Figure1(var_name,exp)\n", " fig1.read_MPIESM()\n", " cOcean = []\n", " for iexp in [0,1]:\n", " cOcean.append([])\n", " for ireal in range(3):\n", " if iexp in [0,2]:\n", " cOcean[iexp].append(cOcean_from_fgco2(fig1.dflist[iexp][ireal],2015))\n", " # iexp=3 is old OAE run, so also starts from 2020\n", " if iexp in [1,3]:\n", " cOcean[iexp].append(cOcean_from_fgco2(fig1.dflist[iexp][ireal],2020))\n", " cOcean[iexp][ireal] = cOcean[iexp][ireal] + cOcean[0][ireal].loc[2019]\n", " cOcean[iexp][ireal] = pd.concat([cOcean[iexp][ireal], cOcean[0][ireal].loc[2015:2019]]).sort_values('year')\n", " bar = []\n", " for ireal in range(3):\n", " d_cOcean_OAE = cOcean[1][ireal]['cOcean'] - cOcean[0][ireal]['cOcean']\n", " foo = d_cOcean_OAE / 12.0107 / TA_added['TA_added']\n", " bar.append(foo.to_frame())\n", " df_ens = ens_values(bar,0)\n", " ax.fill_between(range(yrstart,2100), df_ens['ens_min'], df_ens['ens_max'] ,alpha=0.2, facecolor='C'+str(imodel))\n", " ax.plot(range(yrstart,2100),df_ens['ens_mean'],'-',linewidth=1.5,color='C'+str(imodel),label='MPI-ESM')\n", " ########\n", " else:\n", " try:\n", " var_name, exp = 'fgco2', 'OAE' \n", " fig1=Figure1(var_name,exp)\n", " fig1.read_model(model_list[imodel])\n", " cOcean = []\n", " for iexp in [0,1]:\n", " cOcean.append([])\n", " for ireal in range(1):\n", " # NorESM OAE run starts from 2015\n", " if iexp in [0,2] or model_list[imodel]=='NorESM2-LM':\n", " cOcean[iexp].append(cOcean_from_fgco2(fig1.dflist[iexp][ireal],2015))\n", " continue\n", " if iexp in [1]:\n", " cOcean[iexp].append(cOcean_from_fgco2(fig1.dflist[iexp][ireal],2020)) \n", " cOcean[iexp][ireal] = cOcean[iexp][ireal] + cOcean[0][ireal].loc[2019]\n", " cOcean[iexp][ireal] = pd.concat([cOcean[iexp][ireal], cOcean[0][ireal].loc[2015:2019]]).sort_values('year')\n", " bar = []\n", " for ireal in range(1):\n", " d_cOcean_OAE = cOcean[1][ireal]['cOcean'] - cOcean[0][ireal]['cOcean']\n", " foo = d_cOcean_OAE / 12.0107 / TA_added['TA_added']\n", " ax.plot(foo,'-',linewidth=1.5,color='C'+str(imodel))\n", " except:\n", " print(f'fig 1f no {model_list[imodel]}')\n", "#####\n", "ax.grid()\n", "ax.tick_params(labelsize=fontsize)\n", "ax.set_title('(f) OAE Efficacy',fontsize=18)\n", "ax.set_ylabel('mol/mol', fontsize = 18)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "fig 1g no ACCESS-ESM1-5\n", "fig 1g no CESM2\n", "fig 1g no CanESM5\n", "fig 1g no MIROC-ES2L\n" ] }, { "data": { "text/plain": [ "Text(0.5, 1.0, '(g) CO$_2$ concentration')" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "\"\"\"\n", "fig 1g anomaly in co2 concentration OAE\n", "\"\"\"\n", "ax = fig.add_subplot(247)\n", "for imodel in range(len(model_list)):\n", " if model_list[imodel]=='FOCI':\n", " fig1=Figure1('co2_concentration','OAE')\n", " fig1.read_FOCI()\n", " yrstart = 2015\n", " for ii in range(3):\n", " diff = fig1.dflist[1][ii]['co2_concentration'] - fig1.dflist[0][ii]['co2_concentration']\n", " df_ens = ens_values([fig1.dflist[1][0]-fig1.dflist[0][0],\n", " fig1.dflist[1][1]-fig1.dflist[0][1],\n", " fig1.dflist[1][2]-fig1.dflist[0][2]],'co2_concentration')\n", " ax.fill_between(range(yrstart,2100), df_ens['ens_min'], df_ens['ens_max'] ,alpha=0.2, facecolor='C'+str(imodel))\n", " ax.plot(range(yrstart,2100),df_ens['ens_mean'],'-',linewidth=1.5,color='C'+str(imodel),label='FOCI')\n", " elif model_list[imodel]=='MPI-ESM1-2-LR':\n", " ########\n", " fig1=Figure1('co2_concentration','OAE')\n", " fig1.read_MPIESM()\n", " for ii in range(3):\n", " diff = fig1.dflist[1][ii]['co2_concentration'] - fig1.dflist[0][ii]['co2_concentration']\n", " df_ens = ens_values([fig1.dflist[1][0]-fig1.dflist[0][0],\n", " fig1.dflist[1][1]-fig1.dflist[0][1],\n", " fig1.dflist[1][2]-fig1.dflist[0][2]],'co2_concentration')\n", " ax.fill_between(range(yrstart,2100), df_ens['ens_min'], df_ens['ens_max'] ,alpha=0.2, facecolor='C'+str(imodel))\n", " ax.plot(range(yrstart,2100),df_ens['ens_mean'],'-',linewidth=1.5,color='C'+str(imodel),label='MPI-ESM')\n", " else:\n", "########\n", " try:\n", " var_name, exp = 'co2_concentration', 'OAE' \n", " fig1=Figure1(var_name,exp)\n", " fig1.read_model(model_list[imodel])\n", " ax.plot(fig1.dflist[1][0].index,fig1.dflist[1][0]['co2_concentration'].loc[:]-fig1.dflist[0][0]['co2_concentration'].loc[fig1.dflist[1][0].index],\n", " '-',color='C'+str(imodel),label=model_list[imodel],linewidth=1.5)\n", " except:\n", " print(f'fig 1g no {model_list[imodel]}') \n", "ax.tick_params(labelsize=fontsize)\n", "ax.set_ylabel('ppm', fontsize = fontsize)\n", "ax.grid()\n", "ax.set_title('(g) CO$_2$ concentration',fontsize=fontsize)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "fig 1h no ACCESS-ESM1-5\n", "fig 1h no CESM2\n", "fig 1h no CanESM5\n", "FOCI 2050-2059 mean -0.11823844333691742\n", "fig 1h no MIROC-ES2L\n", "MPI-ESM 2050-2059 mean 0.010240896575597288\n" ] }, { "data": { "text/plain": [ "Text(0.5, 1.0, '(h) 2-m temperature')" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "\"\"\"\n", "fig 1h anomaly in temp2 OAE\n", "\"\"\"\n", "ax = fig.add_subplot(248)\n", "for imodel in range(len(model_list)):\n", " if model_list[imodel]=='FOCI':\n", " fig1=Figure1('temp2','OAE')\n", " fig1.read_FOCI()\n", " yrstart = 2015\n", " for ii in range(3):\n", " diff = fig1.dflist[1][ii]['temp2'] - fig1.dflist[0][ii]['temp2']\n", " df_ens = ens_values([fig1.dflist[1][0]-fig1.dflist[0][0],\n", " fig1.dflist[1][1]-fig1.dflist[0][1],\n", " fig1.dflist[1][2]-fig1.dflist[0][2]],'temp2')\n", " print('FOCI 2050-2059 mean',df_ens['ens_mean'].loc[2050:2059].mean())\n", " ax.fill_between(range(yrstart,2100), df_ens['ens_min'], df_ens['ens_max'] ,alpha=0.2, facecolor='C'+str(imodel))\n", " ax.plot(range(yrstart,2100),df_ens['ens_mean'],'-',linewidth=1.5,color='C'+str(imodel),label='FOCI')\n", " elif model_list[imodel]=='MPI-ESM1-2-LR':\n", " fig1=Figure1('temp2','OAE')\n", " fig1.read_MPIESM()\n", " for ii in range(3):\n", " diff = fig1.dflist[1][ii]['temp2'] - fig1.dflist[0][ii]['temp2']\n", " df_ens = ens_values([fig1.dflist[1][0]-fig1.dflist[0][0],\n", " fig1.dflist[1][1]-fig1.dflist[0][1],\n", " fig1.dflist[1][2]-fig1.dflist[0][2]],'temp2')\n", " print('MPI-ESM 2050-2059 mean',df_ens['ens_mean'].loc[2050:2059].mean())\n", " ax.fill_between(range(yrstart,2100), df_ens['ens_min'], df_ens['ens_max'] ,alpha=0.2, facecolor='C'+str(imodel))\n", " ax.plot(range(yrstart,2100),df_ens['ens_mean'],'-',linewidth=1.5,color='C'+str(imodel),label='MPI-ESM')\n", " else:\n", "########\n", " try:\n", " var_name, exp = 'tas', 'OAE' \n", " fig1=Figure1(var_name,exp)\n", " fig1.read_model(model_list[imodel])\n", " ax.plot(fig1.dflist[1][0].index,fig1.dflist[1][0]['tas'].loc[:]-fig1.dflist[0][0]['tas'].loc[fig1.dflist[1][0].index],\n", " '-',color='C'+str(imodel),label=model_list[imodel],linewidth=1.5)\n", " except:\n", " print(f'fig 1h no {model_list[imodel]}') \n", "#######\n", "ax.tick_params(labelsize=fontsize)\n", "ax.set_ylabel('degC', fontsize = fontsize)\n", "ax.grid()\n", "ax.set_title('(h) 2-m temperature',fontsize=fontsize)" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "\"\"\"\n", "1. add row label A/R-REF and OAE-REF\n", "2. adjust ylim\n", "3. add legend\n", "\"\"\"\n", "##########\n", "fig.get_axes()[0].annotate('A/R-REF',xy=(-0.42,0.9),fontsize=24,xycoords='axes fraction')\n", "fig.get_axes()[4].annotate('OAE-REF',xy=(-0.42,0.9),fontsize=24,xycoords='axes fraction')\n", "#######\n", "fig.get_axes()[2].set_ylim([-50,5])\n", "fig.get_axes()[6].set_ylim([-50,5])\n", "fig.get_axes()[3].set_ylim([-0.7,0.7])\n", "fig.get_axes()[7].set_ylim([-0.7,0.7])\n", "#######\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='lower center',fontsize=fontsize+2,ncol=4)\n", "fig.tight_layout()\n", "fig.subplots_adjust(bottom=0.21,wspace=0.27,hspace=0.35)\n", "\n", "fig" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "fig.savefig('Fig1_rev.pdf',bbox_inches='tight')" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.7.15" } }, "nbformat": 4, "nbformat_minor": 4 }