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plot_fv3lam_co2his.py
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plot_fv3lam_co2his.py
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###################################################################### CHJ #####
## Name : plot_fv3lam_co2his.py
## Language : Python 3.7
## Usage : Plot historical co2 data files for fv3 regional modeling
## Input files : co2historicaldata_20XX.txt
## NOAA/NWS/NCEP/EMC
## History ===============================
## V000: 2020/07/14: Chan-Hoo Jeon : Preliminary version
## V001: 2021/03/05: Chan-Hoo Jeon : Simplify the script
###################################################################### CHJ #####
import os, sys
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.colors as colors
import numpy as np
import pandas as pd
import cartopy.crs as ccrs
import cartopy.feature as cfeature
import cartopy
from mpl_toolkits.axes_grid1 import make_axes_locatable
# HPC machine ('hera','orion')
machine='hera'
print(' You are on', machine)
#### Machine-specific input data ==================================== CHJ =====
# cartopy.config: Natural Earth data for background
# out_fig_dir: directory where the output files are created
# mfdt_kwargs: mfdataset argument
if machine=='hera':
cartopy.config['data_dir']='/scratch2/NCEPDEV/fv3-cam/Chan-hoo.Jeon/tools/NaturalEarth'
out_fig_dir="/scratch2/NCEPDEV/fv3-cam/Chan-hoo.Jeon/tools/fv3sar_pre_plot/Fig/"
elif machine=='orion':
cartopy.config['data_dir']='/home/chjeon/tools/NaturalEarth'
out_fig_dir="/work/noaa/fv3-cam/chjeon/tools/Fig/"
else:
sys.exit('ERROR: Required input data are NOT set !!!')
plt.switch_backend('agg')
# Case-dependent input =============================================== CHJ =====
# Path to the directory where the input file is located.
dnm_data="/scratch2/NCEPDEV/stmp1/Chan-hoo.Jeon/run_C96/"
# input file name
fnm_in='co2historicaldata_2020.txt'
year=fnm_in[-8:-4]
print(' year=',year)
# basic forms of title and file name
out_title_base='FV3LAM::Monthly CO2 in '+year+'::'
out_fname_base='fv3lam_co2his_'
# Resolution of background natural earth data ('50m' or '110m')
back_res='110m'
# Main part (will be called at the end) ==================== CHJ =====
def main():
# ========================================================== CHJ =====
global lon,lat,extent,c_lon,tmax,tmin
# open the data file
fname=os.path.join(dnm_data,fnm_in)
try: co2h=pd.read_csv(fname,sep='\s+',header=None,skiprows=1,na_values=[-99.99])
except: raise Exception('Could NOT find the file',fname)
print(' ===== CO2 history data =======================')
print(co2h)
co2h.shape
tmax=np.max(np.max(co2h))
tmin=np.min(np.min(co2h))
print(' Total max=',tmax)
print(' Total min=',tmin)
# lon1d=np.linspace(7.5,352.5,24)
lon1d=np.linspace(0,345,24)
lat1d=np.linspace(82.5,-82.5,12)
print(' lon=',lon1d)
print(' lat=',lat1d)
lon,lat=np.meshgrid(lon1d,lat1d,sparse=False)
#print(lon)
#print(lat)
# Highest and lowest longitudes and latitudes for plot extent
lon_min=np.min(lon1d)
lon_max=np.max(lon1d)
lat_min=np.min(lat1d)
lat_max=np.max(lat1d)
# extent=[lon_min-5,lon_max+5,lat_min-5,lat_max+3]
extent=[lon_min,lon_max,lat_min,lat_max]
c_lon=np.mean(extent[:2])
# c_lat=np.mean(extent[2:])
for im in range(0,12):
imp1=im+1
print(' month=',imp1)
im_s=12*im
co2h_mn=co2h.loc[im_s:im_s+11,:]
print(co2h_mn.shape)
data_plot(co2h_mn,imp1)
# Plot data ================================================ CHJ =====
def data_plot(co2h_mn,imp1):
# ========================================================== CHJ =====
cs_cmap='YlOrBr'
lb_ext='both'
n_rnd=2
tick_ln=1.5
tick_wd=0.45
tlb_sz=3
mon_nm=format(imp1,'02d')
out_title_fld=out_title_base+'M'+mon_nm
out_fld_fname=out_fname_base+'m'+mon_nm
cs_label='Monthly averaged CO2'
cmap_range='fixed'
# Max and Min of the field
fmax=np.max(np.max(co2h_mn))
fmin=np.min(np.min(co2h_mn))
print(' fld_max=',fmax)
print(' flx_min=',fmin)
# Make the colormap range symmetry
print(' cmap range=',cmap_range)
if cmap_range=='symmetry':
tmp_cmp=max(abs(fmax),abs(fmin))
cs_min=round(-tmp_cmp,n_rnd)
cs_max=round(tmp_cmp,n_rnd)
elif cmap_range=='round':
cs_min=round(fmin,n_rnd)
cs_max=round(fmax,n_rnd)
elif cmap_range=='real':
cs_min=fmin
cs_max=fmax
elif cmap_range=='fixed':
cs_min=tmin
cs_max=tmax
else:
sys.exit('ERROR: wrong colormap-range flag !!!')
print(' cs_max=',cs_max)
print(' cs_min=',cs_min)
# Plot field
fig,ax1=plt.subplots(1,1,subplot_kw=dict(projection=ccrs.Robinson(c_lon)))
ax1.set_extent(extent, ccrs.PlateCarree())
# Call background plot
back_plot(ax1)
ax1.set_title(out_title_fld,fontsize=9)
cs=ax1.pcolormesh(lon,lat,co2h_mn,cmap=cs_cmap,rasterized=True,
vmin=cs_min,vmax=cs_max,transform=ccrs.PlateCarree())
# cs=ax1.contourf(lon,lat,co2h_mn,cmap=cs_cmap,vmin=cs_min,vmax=cs_max,transform=ccrs.PlateCarree())
# extend(pointed end): 'neither'|'both'|'min'|'max'
divider=make_axes_locatable(ax1)
ax_cb=divider.new_horizontal(size="3%",pad=0.1,axes_class=plt.Axes)
fig.add_axes(ax_cb)
cbar=plt.colorbar(cs,cax=ax_cb,extend=lb_ext)
cbar.ax.tick_params(labelsize=8)
cbar.set_label(cs_label,fontsize=8)
# Output figure
out_file(out_fld_fname)
# Background plot ========================================== CHJ =====
def back_plot(ax):
# ========================================================== CHJ =====
fline_wd=0.5 # line width
falpha=0.3 # transparency
# natural_earth
# land=cfeature.NaturalEarthFeature('physical','land',back_res,
# edgecolor='face',facecolor=cfeature.COLORS['land'],
# alpha=falpha)
lakes=cfeature.NaturalEarthFeature('physical','lakes',back_res,
edgecolor='blue',facecolor='none',
linewidth=fline_wd,alpha=falpha)
coastline=cfeature.NaturalEarthFeature('physical','coastline',
back_res,edgecolor='blue',facecolor='none',
linewidth=fline_wd,alpha=falpha)
# states=cfeature.NaturalEarthFeature('cultural','admin_1_states_provinces',
# back_res,edgecolor='black',facecolor='none',
# linewidth=fline_wd,linestyle=':',alpha=falpha)
borders=cfeature.NaturalEarthFeature('cultural','admin_0_countries',
back_res,edgecolor='red',facecolor='none',
linewidth=fline_wd,alpha=falpha)
# ax.add_feature(land)
ax.add_feature(lakes)
# ax.add_feature(states)
ax.add_feature(borders)
ax.add_feature(coastline)
# Output file ============================================= CHJ =====
def out_file(out_file):
# ========================================================= CHJ =====
# Output figure
plt.savefig(out_fig_dir+out_file+'.png',dpi=300,bbox_inches='tight')
plt.close('all')
# Main call ================================================ CHJ =====
if __name__=='__main__':
main()