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Update CICE plotting tools. Add ciceplots.csh and ciceplots2d.py. (CI…
…CE-Consortium#958) Update CICE plotting tools. Add ciceplots.csh and ciceplots2d.py. Update timeseries.py. Remove timeseries.csh. Have the plotting tools copied into case directories. Update documentation. ciceplots2d.py generates global and polar plots for fields on CICE history files. ciceplots.csh is a general script that calls timeseries.py and ciceplots2d.py to generate plots for a user defined case. Add basemap to the cice conda environment.yml file to support the plotting packages. Add output to JRA55_files in ice_forcing.F90 to make it easier to understand when/why JRA55 files are missing. Add NO_CDF5 CPP to izumi_nag Macros file. Change 10 year production test case to 8 year test. This will serve as basis for release results. Update Icepack to #083d6e3cf42198 from May 28, 2024. Includes updates to Icepack plotting tools.
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#!/bin/csh -f | ||
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source ${MODULESHOME}/init/csh | ||
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# User defined stuff | ||
# Set case and case directory | ||
# Set files, notes, fstr, and fields | ||
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set case = "CICE6.5.1" | ||
set casedir = "/glade/derecho/scratch/tcraig/CICE_RUNS/cgx1proda" | ||
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# setup plots | ||
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set histdir = "${casedir}/history" | ||
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set files = ("${histdir}/iceh.2012-03.nc" \ | ||
"${histdir}/iceh.2012-09.nc" ) | ||
set notes = ("2012 March Mean" \ | ||
"2012 Sept Mean" ) | ||
set fstrs = ("Mar12" \ | ||
"Sep12" ) | ||
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set fields = ("aice" "hi" "hs") | ||
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#conda config --add channels conda-forge | ||
#conda config --set channel_priority strict | ||
#conda search basemap --channel conda-forge | ||
#conda create -p /glade/u/home/tcraig/conda/envs/basemap -c conda-forge basemap=1.4.1 basemap-data basemap-data-hires netCDF4 | ||
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module load conda | ||
source ${NCAR_ROOT_CONDA}/etc/profile.d/conda.csh | ||
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conda activate /glade/u/home/tcraig/conda/envs/basemap | ||
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echo " " | ||
echo " " | ||
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echo ./timeseries.py \"${casedir}\" --case \"${case}\" --grid | ||
./timeseries.py "${casedir}" --case "${case}" --grid | ||
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echo " " | ||
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set cnt = 0 | ||
while ($cnt < ${#files}) | ||
@ cnt = $cnt + 1 | ||
set file = "${files[$cnt]}" | ||
set note = "${notes[$cnt]}" | ||
set fstr = "${fstrs[$cnt]}" | ||
foreach field ($fields) | ||
echo ./ciceplots2d.py \"$field\" \"$file\" \"$case\" \"$note\" \"$fstr\" | ||
./ciceplots2d.py "$field" "$file" "$case" "$note" "$fstr" | ||
end | ||
end | ||
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echo "DONE" | ||
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#!/usr/bin/env python3 | ||
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#Importing the necessary libraries | ||
import sys | ||
import os | ||
import numpy as np | ||
from netCDF4 import Dataset | ||
import matplotlib as mpl | ||
import matplotlib.pyplot as plt | ||
from mpl_toolkits.basemap import Basemap | ||
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if len(sys.argv) != 6: | ||
print("ciceplots.py requires 5 arguments") | ||
print(" 1. field name in file, ie. \"aice\"") | ||
print(" 2. cice history file full path, ie. \"/glade/scratch/user/case/history/iceh.2012-03.nc\"") | ||
print(" 3. case name, used to annotate plot, ie. \"CICE6.5.1\"") | ||
print(" 4. notes, used to annotate plot, ie. 2012 \"March Mean\"") | ||
print(" 5. file string, use to create unique png filenames, ie. \"Mar12\"") | ||
quit() | ||
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field = sys.argv[1] | ||
pathf = sys.argv[2] | ||
casen = sys.argv[3] | ||
notes = sys.argv[4] | ||
fstr = sys.argv[5] | ||
fname = os.path.basename(pathf) | ||
title = field + " " + notes | ||
cfnam = casen + " " + fname | ||
#print("field = ",field) | ||
#print("pathf = ",pathf) | ||
#print("casen = ",casen) | ||
#print("notes = ",notes) | ||
#print("fname = ",fname) | ||
#print("title = ",title) | ||
#print("cfnam = ",cfnam) | ||
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#Reading the netCDF file | ||
data = Dataset(pathf,'r') | ||
#print (data) | ||
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lons = data.variables['TLON'][:,:] | ||
lats = data.variables['TLAT'][:,:] | ||
var1 = data.variables[field][:,:,:] | ||
var1 = var1[0,:,:] | ||
var1[ var1==0.00 ] = np.nan | ||
#mask = data.variables['tmask'][:,:] | ||
#mask[ mask>0.5 ] = np.nan | ||
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#print("lons.shape = ",lons.shape) | ||
#print("var1.shape = ",var1.shape) | ||
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# Lon/Lat Projection | ||
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#print("Plot global") | ||
#m = Basemap(projection='cyl',llcrnrlat=-90,urcrnrlat=90, | ||
# llcrnrlon=0,urcrnrlon=360,resolution='c') | ||
m = Basemap(projection='cyl',llcrnrlat=-90,urcrnrlat=90, | ||
llcrnrlon=0,urcrnrlon=360,resolution='l') | ||
fig, ax = plt.subplots() | ||
#plt.figure(figsize=(6,4)) | ||
m.drawcoastlines(linewidth=0.2) | ||
m.fillcontinents(color='black',lake_color='white') | ||
#draw parallels and meridians. | ||
m.drawparallels(np.arange(-60.,61.,30.),labels=[1,0,0,0]) | ||
m.drawmeridians(np.arange(0.,361.,45.),labels=[1,0,0,1]) | ||
#draw map boundary | ||
m.drawmapboundary(fill_color='white') | ||
#setting colorbar | ||
cmap = plt.get_cmap('jet') | ||
barticks = None | ||
norm = "linear" | ||
if field in ['hi']: | ||
bounds = np.arange(0,2.05,0.1) | ||
bounds = np.append(bounds,[2.25,2.5,2.75,3.0,3.25,3.5,3.75,4.0]) | ||
norm = mpl.colors.BoundaryNorm(bounds,cmap.N,extend='max') | ||
barticks=[0,0.5,1.0,1.5,2.0,2.5,3.0,3.5,4.0] | ||
if field in ['hs']: | ||
bounds = np.arange(0,1.02,0.05) | ||
bounds = np.append(bounds,[1.5,2.0,2.5,3.0,3.5,4.0]) | ||
norm = mpl.colors.BoundaryNorm(bounds,cmap.N,extend='max') | ||
barticks=[0,0.25,0.5,0.75,1.0,2.0,3.0,4.0] | ||
#matplotlib scatter-plot | ||
m.scatter(lons,lats,c=var1,cmap=cmap,marker='o',s=0.2,norm=norm) | ||
m.colorbar(label=field, ticks=barticks) | ||
plt.rcParams["figure.dpi"] = 300 | ||
plt.title(title) | ||
plt.text(x=0.0,y=-0.1,s=cfnam,transform=ax.transAxes,horizontalalignment='left',verticalalignment='top',fontsize='x-small') | ||
oname = field + "_gl_" + fstr + ".png" | ||
print('Saving file to ',oname) | ||
plt.savefig(oname) | ||
#plt.show() | ||
plt.close() | ||
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# North Polar Stereographic Projection | ||
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#print("Plot NH") | ||
#m = Basemap(projection='npstere',boundinglat=45,lon_0=-45,resolution='c') | ||
m = Basemap(projection='npstere',boundinglat=45,lon_0=-45,resolution='l') | ||
fig, ax = plt.subplots() | ||
#plt.figure(figsize=(6,4)) | ||
m.drawcoastlines(linewidth=0.2) | ||
m.fillcontinents(color='black',lake_color='white') | ||
# draw parallels and meridians. | ||
m.drawparallels(np.arange(-60.,61.,30.),labels=[0,0,0,0]) | ||
m.drawmeridians(np.arange(0.,361.,45.),labels=[0,0,0,0]) | ||
m.drawmapboundary(fill_color='white') | ||
#setting colorbar (set above) | ||
m.scatter(lons,lats,c=var1,cmap=cmap,marker='o',s=0.2,latlon=True,norm=norm) | ||
#m.colorbar(label=field) | ||
m.colorbar(label=field, ticks=barticks) | ||
plt.rcParams["figure.dpi"] = 300 | ||
plt.title (title) | ||
plt.text(x=0.0,y=-0.02,s=cfnam,transform=ax.transAxes,horizontalalignment='left',verticalalignment='top',fontsize='x-small') | ||
oname = field + "_nh_" + fstr + ".png" | ||
print('Saving file to ',oname) | ||
plt.savefig(oname) | ||
#plt.show() | ||
plt.close() | ||
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# South Polar Stereographic Projection | ||
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#print("Plot SH") | ||
#m = Basemap(projection='npstere',boundinglat=45,lon_0=-45,resolution='c') | ||
m = Basemap(projection='spstere',boundinglat=-45,lon_0=180,resolution='l') | ||
fig, ax = plt.subplots() | ||
#plt.figure(figsize=(6,4)) | ||
m.drawcoastlines(linewidth=0.2) | ||
m.fillcontinents(color='black',lake_color='white') | ||
# draw parallels and meridians. | ||
m.drawparallels(np.arange(-60.,61.,30.),labels=[0,0,0,0]) | ||
m.drawmeridians(np.arange(0.,361.,45.),labels=[0,0,0,0]) | ||
m.drawmapboundary(fill_color='white') | ||
#setting colorbar (set above) | ||
m.scatter(lons,lats,c=var1,cmap=cmap,marker='o',s=0.2,latlon=True,norm=norm) | ||
#m.colorbar(label=field) | ||
m.colorbar(label=field, ticks=barticks) | ||
plt.rcParams["figure.dpi"] = 300 | ||
plt.title (title) | ||
plt.text(x=0.0,y=-0.02,s=cfnam,transform=ax.transAxes,horizontalalignment='left',verticalalignment='top',fontsize='x-small') | ||
oname = field + "_sh_" + fstr + ".png" | ||
print('Saving file to ',oname) | ||
plt.savefig(oname) | ||
#plt.show() | ||
plt.close() | ||
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#print("Done") | ||
quit() | ||
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npt_unit = 'y' | ||
npt = 8 | ||
dumpfreq = 'y' | ||
dumpfreq_n = 1 | ||
diagfreq = 24 | ||
histfreq = 'm','x','x','x','x' | ||
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# Test Grid PEs Sets BFB-compare | ||
qcchk gx3 72x1 qc,qcchk,medium qcchk_gx3_72x1_medium_qc_qcchk | ||
qcchk gx1 144x1 qc,qcchk,medium | ||
smoke gx1 144x2 gx1prod,long,run10year | ||
smoke gx1 128x2 gx1prod,long,run8year | ||
qcchk gx3 72x1 qc,qcchkf,medium,alt02 qcchk_gx3_72x1_medium_qc_qcchk | ||
qcchk gx3 72x1 qc,qcchk,dt3456s,medium qcchk_gx3_72x1_medium_qc_qcchk |
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