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plot_fv3lam_dynf.py
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###################################################################### CHJ #####
## Name : plot_fv3lam_dynf.py
## Language : Python 3.7
## Usage : Plot an output, dyn, for fv3 regional modeling
## Input files : dynfXXX.nc
## NOAA/NWS/NCEP/EMC
## History ===============================
## V000: 2020/05/06: Chan-Hoo Jeon : Preliminary version
## V001: 2020/06/22: Chan-Hoo Jeon : Add opt. for machine-specific arguments
## V002: 2021/03/05: Chan-Hoo Jeon : Simplify the script
## V003: 2021/06/24: Chan-Hoo Jeon : Add a projection for RRFS_NA domain
###################################################################### 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/ufs_srw_app/srw_dev_test/expt_dirs/grid_RRFS_NA_13km/2019070100"
# Domain name
domain_nm='RRFS_NA_13km'
# grid file name
fnm_hr='f003'
fnm_input='dyn'+fnm_hr+'.nc'
# Variables
#vars_dyn=["cld_amt","clwmr","delz","dnvvelmax","dpres"]
#vars_dyn=["dzdt","grle","hgtsfc","icmr"]
#vars_dyn=["maxvort01"]
#vars_dyn=["o3mr","pressfc","rwmr","snmr"]
vars_dyn=["tmp"]
#vars_dyn=["uhmax03","uhmax25","uhmin03","uhmin25","upvvelmax"]
#vars_dyn=["ugrd","vgrd"]
#vars_dyn=["hgtsfc"]
# Vertical layer number (3d only)
lvl=1
# basic forms of title and file name
out_title_base='FV3LAM::DYN::'+domain_nm+'::'
out_fname_base='fv3lam_out_dyn_'+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 dynf,lon,lat
global extent,c_lon,c_lat
print(' ===== OUTPUT: dyn =======================================')
# open the data file
fname=os.path.join(dnm_data,fnm_input)
try: dynf=xr.open_mfdataset(fname,**mfdt_kwargs)
except: raise Exception('Could NOT find the file',fname)
print(dynf)
lon=np.ma.masked_invalid(dynf["lon"].data)
lat=np.ma.masked_invalid(dynf["lat"].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_dyn:
dyn_plot(svar)
# ===== plot ================================================== CHJ =====
def dyn_plot(svar):
# ============================================================= CHJ =====
lvlm=lvl-1
lvls=format(lvl,'03d')
print(' ===== '+svar+' ===== dyn ===============================')
# Extract data array
sfld=np.ma.masked_invalid(dynf[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+'::'+fnm_hr
out_dyn_fname=out_fname_base+svar+'_'+fnm_hr
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+')::'+fnm_hr
out_dyn_fname=out_fname_base+svar+'_L'+lvls+'_'+fnm_hr
else:
sys.exit('ERROR: wrong svar !!!')
nm_svar=svar
cs_cmap='jet'
lb_ext='neither'
tick_ln=1.5
tick_wd=0.45
tlb_sz=3
n_rnd=2
cmap_range='round'
if svar=="cld_amt":
nm_svar='Cloud amount'
n_rnd=5
elif svar=="clwmr":
nm_svar='Cloud-water mixing ratio'
n_rnd=5
elif svar=="grle":
nm_svar='Graupel mixing ratio'
n_rnd=5
elif svar=="hgtsfc":
nm_svar='Surface height'
cs_cmap='gist_ncar_r'
n_rnd=0
elif svar=="icmr":
nm_svar='Cloud-ice mixing ratio'
n_rnd=4
elif svar=="maxvort01":
n_rnd=5
elif svar=="maxvort02":
n_rnd=5
elif svar=="maxvorthy1":
n_rnd=5
elif svar=="o3mr":
nm_svar='Ozone mixing ratio'
n_rnd=7
elif svar=="pressfc":
nm_svar='Surface air pressure'
n_rnd=0
elif svar=="rwmr":
nm_svar='Rain-water mixing ratio'
n_rnd=5
elif svar=="snmr":
nm_svar='Snow-water mixing ratio'
n_rnd=5
elif svar=="spfh":
nm_svar='Specific humidity'
n_rnd=3
elif svar=="srh01":
n_rnd=2
elif svar=="srh03":
n_rnd=5
elif svar=="tmp":
nm_svar='Temperature'
n_rnd=1
elif svar=="ustm":
nm_svar='u-comp. of storm motion'
n_rnd=2
cmap_range='symmetry'
lb_ext='both'
cs_cmap='seismic'
elif svar=="vstm":
nm_svar='v-comp. of storm motion'
n_rnd=2
cmap_range='symmetry'
lb_ext='both'
cs_cmap='seismic'
print(' DYN 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(lon,lat,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_dyn_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()