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first commit biascorrection #2

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74c3805
first commit biascorrection
erwinlambert Dec 4, 2024
f93da5a
Update plot_series.ipynb
erwinlambert Dec 4, 2024
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273 changes: 273 additions & 0 deletions biascorr/notebooks/plot_series.ipynb
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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import xarray as xr\n",
"import matplotlib as mpl\n",
"from matplotlib.gridspec import GridSpec, GridSpecFromSubplotSpec\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import cmocean as cmo\n",
"\n",
"import sys\n",
"sys.path.append('../src')\n",
"\n",
"from run import Run\n",
"from region import Region\n",
"\n",
"import warnings\n",
"warnings.filterwarnings('ignore')\n",
"\n",
"%load_ext autoreload\n",
"%autoreload 2"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Plot regions\n",
"\n",
"fig,ax = plt.subplots(1,4,figsize=(16,4))\n",
"\n",
"for m,mod in enumerate(['CESM2','EC-Earth3','UKESM1-0-LL','WOA23']):\n",
" self = Run(mod,'Ross','historical',1995,1996)\n",
" ax[m].pcolormesh(self.lon,self.lat,np.nansum(self.V,axis=0))\n",
" #ax[m].pcolormesh(np.nansum(self.V,axis=0))\n",
" ax[m].set_title(mod)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"def get_series(region,years):\n",
" Traw_av = np.zeros((len(years),len(region.prd.depth)))\n",
" Tcor_av = np.zeros((len(years),len(region.ref.depth)))\n",
" dTraw_av = np.zeros((len(years),len(region.prd.depth)))\n",
" dTcor_av = np.zeros((len(years),len(region.ref.depth)))\n",
"\n",
" for y,year in enumerate(years):\n",
" if year>2014:\n",
" run = 'ssp585'\n",
" else:\n",
" run = 'historical'\n",
" region.get_future(run,year,year+1)\n",
"\n",
" dTraw_av[y,:] = region.calc_horav(region.fut.dTraw,region.prd)\n",
" Traw_av[y,:] = region.calc_horav(region.fut.T,region.fut)\n",
" dTcor_av[y,:] = region.calc_horav(region.fut.dTcor,region.ref)\n",
" Tcor_av[y,:] = region.calc_horav(region.ref.T+region.fut.dTcor,region.ref)\n",
" return Traw_av,Tcor_av,dTraw_av,dTcor_av\n",
"\n",
"def add_Tvar(fig,gs,n,m,zvar,var,years,title='',ylabel=''):\n",
" ax = fig.add_subplot(gs[n,m])\n",
" im = ax.pcolormesh(years,zvar,var.T,cmap='cmo.thermal',vmin=-2,vmax=3)\n",
" ax.set_ylim([-1500,0])\n",
" if m>0:\n",
" ax.set_yticklabels([])\n",
" ax.set_ylabel(ylabel)\n",
" if n==0:\n",
" ax.set_title(title)\n",
" if n<2:\n",
" ax.set_xticklabels([])\n",
" return im\n",
"\n",
"def add_dTvar(fig,gs,n,m,zvar,var,years,title=''):\n",
" ax = fig.add_subplot(gs[n,m])\n",
" im = ax.pcolormesh(years,zvar,var.T,cmap='cmo.balance',vmin=-4,vmax=4)\n",
" ax.set_ylim([-1500,0])\n",
" ax.set_yticklabels([])\n",
" if n==0:\n",
" ax.set_title(title)\n",
" if n<2:\n",
" ax.set_xticklabels([])\n",
" return im\n",
"\n",
"def add_row(fig,gs,n,regionname,years,model,refmodel):\n",
" region = Region(regionname,model,refmodel,k0=50,k1=2000)\n",
" Traw_av,Tcor_av,dTraw_av,dTcor_av = get_series(region,years)\n",
"\n",
" im = add_Tvar(fig,gs,n,0,region.prd.depth,Traw_av,years,title='Raw model',ylabel=region.model)\n",
" im = add_Tvar(fig,gs,n,1,region.ref.depth,Tcor_av,years,title=f'Corrected (ref: {region.refmodel})')\n",
"\n",
" if n==0:\n",
" ax = fig.add_subplot(gs[:,2])\n",
" cb = plt.colorbar(im,cax=ax,extend='both')\n",
"\n",
" im = add_dTvar(fig,gs,n,4,region.prd.depth,dTraw_av,years,title='Raw model')\n",
" im = add_dTvar(fig,gs,n,5,region.ref.depth,dTcor_av,years,title=f'Corrected')\n",
"\n",
" if n==0:\n",
" ax = fig.add_subplot(gs[:,6])\n",
" cb = plt.colorbar(im,cax=ax,extend='both')\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"#years = np.arange(1850,2110,10)\n",
"years = np.arange(1850,2101,10)\n",
"refmodel = 'CESM2'\n",
"models = ['CESM2','UKESM1-0-LL','EC-Earth3']\n",
"#models = ['EC-Earth3']\n",
"regionname = 'Amundsen'\n",
"\n",
"fig = plt.figure(figsize=(15,5))#,constrained_layout=True)\n",
"gs = GridSpec(3,8, figure=fig,\n",
" width_ratios=[1,1,.05,.05,1,1,.05,.05],\n",
" height_ratios=[1,1,1],wspace=.05,hspace=.06)\n",
"\n",
"for n,model in enumerate(models):\n",
" add_row(fig,gs,n,regionname,years,model,refmodel)\n",
"\n",
"fig.suptitle(regionname)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"years = np.arange(1850,2110,10)\n",
"#years = np.arange(1850,2101,1)\n",
"refmodel = 'WOA23'\n",
"models = ['CESM2','UKESM1-0-LL','EC-Earth3']\n",
"#models = ['EC-Earth3']\n",
"regionname = 'Ross'\n",
"\n",
"fig = plt.figure(figsize=(15,5))#,constrained_layout=True)\n",
"gs = GridSpec(3,8, figure=fig,\n",
" width_ratios=[1,1,.05,.05,1,1,.05,.05],\n",
" height_ratios=[1,1,1],wspace=.05,hspace=.06)\n",
"\n",
"for n,model in enumerate(models):\n",
" add_row(fig,gs,n,regionname,years,model,refmodel)\n",
"\n",
"fig.suptitle(regionname)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"#years = np.arange(1850,2110,10)\n",
"years = np.arange(1850,2101,1)\n",
"refmodel = 'WOA23'\n",
"models = ['CESM2','UKESM1-0-LL','EC-Earth3']\n",
"#models = ['EC-Earth3']\n",
"regionname = 'Weddell'\n",
"\n",
"fig = plt.figure(figsize=(15,5))#,constrained_layout=True)\n",
"gs = GridSpec(3,8, figure=fig,\n",
" width_ratios=[1,1,.05,.05,1,1,.05,.05],\n",
" height_ratios=[1,1,1],wspace=.05,hspace=.06)\n",
"\n",
"for n,model in enumerate(models):\n",
" add_row(fig,gs,n,regionname,years,model,refmodel)\n",
"\n",
"fig.suptitle(regionname)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"#years = np.arange(1850,2110,10)\n",
"years = np.arange(1850,2101,1)\n",
"refmodel = 'WOA23'\n",
"models = ['CESM2','UKESM1-0-LL','EC-Earth3']\n",
"#models = ['EC-Earth3']\n",
"regionname = 'Totten'\n",
"\n",
"fig = plt.figure(figsize=(15,5))#,constrained_layout=True)\n",
"gs = GridSpec(3,8, figure=fig,\n",
" width_ratios=[1,1,.05,.05,1,1,.05,.05],\n",
" height_ratios=[1,1,1],wspace=.05,hspace=.06)\n",
"\n",
"for n,model in enumerate(models):\n",
" add_row(fig,gs,n,regionname,years,model,refmodel)\n",
"\n",
"fig.suptitle(regionname)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"region = Region('Amundsen','EC-Earth3',refmodel='CESM2',k0=50,k1=2000)\n",
"region.get_future('ssp585',2050,2060)\n",
"region.plot_delta()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"region = Region('Totten','CESM2',refmodel='WOA23',k0=50,k1=2000)\n",
"region.get_future('ssp585',2050,2060)\n",
"region.plot_delta()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"region = Region('Ross','EC-Earth3',refmodel='WOA23',k0=50,k1=2000)\n",
"region.get_future('ssp585',2050,2060)\n",
"region.plot_delta()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.8.12"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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