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plot_fv3lam_restart.py
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###################################################################### CHJ #####
## Name : plot_fv3lam_restart.py
## Language : Python 3.7
## Usage : Plot restart files for fv3 regional modeling
## Input files : fv_XXX.res.tile1.nc
## NOAA/NWS/NCEP/EMC
## History ===============================
## V000: 2021/10/06: Chan-Hoo Jeon : Preliminary version
###################################################################### CHJ #####
import os, sys
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.colors as colors
import numpy as np
import xarray as xr
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/"
mfdt_kwargs={'parallel':False}
elif machine=='orion':
cartopy.config['data_dir']='/home/chjeon/tools/NaturalEarth'
out_fig_dir="/work/noaa/fv3-cam/chjeon/tools/Fig/"
mfdt_kwargs={'parallel':False,'combine':'by_coords'}
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 NetCDF file is located.
dnm_data="/scratch2/NCEPDEV/fv3-cam/Chan-hoo.Jeon/test/"
# Domain name
domain_nm='GSD_HRRR_25km'
# restart file name
fnm_input_core='fv_core.res.tile1.nc'
fnm_input_swnd='fv_srf_wnd.res.tile1.nc'
fnm_input_trcr='fv_tracer.res.tile1.nc'
# Variables
# fv_core.res.tile1.nc: u, v, W, DZ, T, delp, phis
# fv_srf_wnd.res.tile1.nc: u_srf, v_srf
# fv_tracer.res.tile1.nc: tracers
vars_res=["T","no2","pm25co"]
# Vertical layer number (3d only)
lvl=1
# basic forms of title and file name
out_title_base='FV3LAM::RESTART::'+domain_nm+'::'
out_fname_base='fv3lam_out_restart_'+domain_nm+'_'
# Resolution of background natural earth data ('10m' or '50m' or '110m')
back_res='50m'
# Main part (will be called at the end) ======================= CHJ =====
def main():
# ============================================================= CHJ =====
global rcore,rswnd,rtrcr
global lon,lat,lon_w,lat_w,lon_s,lat_s
global extent,c_lon,c_lat
print(' ===== INPUT: Grid fron gfs_dat.nc ==================================')
# open the data file
# dnm_grd=dnm_data+"../INPUT/"
dnm_grd=dnm_data
fnm_grd='gfs_data.nc'
fname=os.path.join(dnm_grd,fnm_grd)
try: grdf=xr.open_mfdataset(fname,**mfdt_kwargs)
except: raise Exception('Could NOT find the file',fname)
print(grdf)
print(' ===== INPUT: RESTART (core) ========================================')
# open the data file
fname=os.path.join(dnm_data,fnm_input_core)
try: rcore=xr.open_mfdataset(fname,**mfdt_kwargs)
except: raise Exception('Could NOT find the file',fname)
print(rcore)
print(' ===== INPUT: RESTART (srf_wnd) =====================================')
# open the data file
fname=os.path.join(dnm_data,fnm_input_swnd)
try: rswnd=xr.open_mfdataset(fname,**mfdt_kwargs)
except: raise Exception('Could NOT find the file',fname)
print(rswnd)
print(' ===== INPUT: RESTART (tracer) ======================================')
# open the data file
fname=os.path.join(dnm_data,fnm_input_trcr)
try: rtrcr=xr.open_mfdataset(fname,**mfdt_kwargs)
except: raise Exception('Could NOT find the file',fname)
print(rtrcr)
lon=np.ma.masked_invalid(grdf["geolon"].data)
lat=np.ma.masked_invalid(grdf["geolat"].data)
lon_w=np.ma.masked_invalid(grdf["geolon_w"].data)
lat_w=np.ma.masked_invalid(grdf["geolat_w"].data)
lon_s=np.ma.masked_invalid(grdf["geolon_s"].data)
lat_s=np.ma.masked_invalid(grdf["geolat_s"].data)
# Highest and lowest longitudes and latitudes for plot extent
lon_min=np.min(lon)
lon_max=np.max(lon)
lat_min=np.min(lat)
lat_max=np.max(lat)
print(' lon_min=',lon_min,', lon_max=',lon_max)
print(' lat_min=',lat_min,', lat_max=',lat_max)
# Plot extent
esp=1
extent=[lon_min-esp,lon_max+esp,lat_min-esp,lat_max+esp]
c_lon=np.mean(extent[:2])
c_lat=np.mean(extent[2:])
# Variables
for svar in vars_res:
res_plot(svar)
# ===== plot ================================================== CHJ =====
def res_plot(svar):
# ============================================================= CHJ =====
lvlm=lvl-1
lvls=format(lvl,'03d')
print(' ===== '+svar+' ===== RESTART ===============================')
# Extract data array
if svar=="u" or svar=="v" or svar=="W" or svar=="DZ" or svar=="T" or svar=="delp" or svar=="phis":
sfld=np.ma.masked_invalid(rcore[svar].data)
elif svar=="u_srf" or svar=="v_srf":
sfld=np.ma.masked_invalid(rswnd[svar].data)
else:
sfld=np.ma.masked_invalid(rtrcr[svar].data)
ndim_svar=sfld.ndim
if ndim_svar==3:
(nts,nys,nxs)=sfld.shape
print(' time+2D: nts=',nts,' nys=',nys,' nxs=',nxs)
sfld2d=np.squeeze(sfld,axis=0)
out_title_fld=out_title_base+svar
out_res_fname=out_fname_base+svar
elif ndim_svar==4:
(nts,nls,nys,nxs)=sfld.shape
print(' time+3D: nts=',nts,' nls=',nls,' nys=',nys,' nxs=',nxs)
sfld2d=sfld[0,lvlm,:,:]
out_title_fld=out_title_base+svar+'(L='+lvls+')'
out_res_fname=out_fname_base+svar+'_L'+lvls
else:
sys.exit('ERROR: wrong dimension !!!')
nm_svar=svar
cs_cmap='jet'
lb_ext='both'
tick_ln=1.5
tick_wd=0.45
tlb_sz=3
n_rnd=2
cmap_range='round'
lonf=lon
latf=lat
if svar=="u":
lonf=lon_s
latf=lat_s
cs_cmap="rainbow"
elif svar=="v":
lonf=lon_w
latf=lat_w
cmap_range="symmetry"
elif svar=="T":
n_rnd=2
elif svar=="u_srf":
cmap_range="symmetry"
elif svar=="v_srf":
cmap_range="symmetry"
elif svar=="no2":
cmap_range="real"
cs_cmap="gist_ncar_r"
elif svar=="pm25co":
cmap_range="round"
n_rnd=4
cs_cmap="rainbow"
print(' RESTART field=',nm_svar)
# Max and Min of the field
fmax=np.max(sfld2d)
fmin=np.min(sfld2d)
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=-10.0
cs_max=10.0
else:
sys.exit('ERROR: wrong colormap-range flag !!!')
print(' cs_max=',cs_max)
print(' cs_min=',cs_min)
# Plot field
if domain_nm[:7]=='RRFS_NA':
fig,ax=plt.subplots(1,1,subplot_kw=dict(projection=ccrs.Orthographic(
central_longitude=-107,central_latitude=53)))
else:
fig,ax=plt.subplots(1,1,subplot_kw=dict(projection=ccrs.Robinson(c_lon)))
ax.set_extent(extent, ccrs.PlateCarree())
back_plot(ax)
ax.set_title(out_title_fld,fontsize=9)
cs=ax.pcolormesh(lonf,latf,sfld2d,cmap=cs_cmap,rasterized=True,
vmin=cs_min,vmax=cs_max,transform=ccrs.PlateCarree())
divider=make_axes_locatable(ax)
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=6)
cbar.set_label(nm_svar,fontsize=6)
# Output figure
ndpi=300
out_file(out_res_fname,ndpi)
# 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,ndpi):
# ========================================================= CHJ =====
# Output figure
plt.savefig(out_fig_dir+out_file+'.png',dpi=ndpi,bbox_inches='tight')
plt.close('all')
# Main call ================================================ CHJ =====
if __name__=='__main__':
main()