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plot_composites_diff.py
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from __future__ import absolute_import, division, print_function, \
unicode_literals
import os
import subprocess
from subprocess import call
import xarray as xr
import numpy as np
import netCDF4
import matplotlib.pyplot as plt
import matplotlib.colors as cols
import cmocean
from make_plots import make_scatter_plot, make_streamline_plot, make_contourf_plot
startYear = [1950]
endYear = [2014]
#startYear = [21, 245]
#endYear = [140, 386]
#startYear = [1]
#endYear = [140]
#startYear = [141]
#endYear = [386]
# Settings for nersc
meshFile = f'/global/cfs/cdirs/e3sm/inputdata/ocn/mpas-o/ARRM10to60E2r1/mpaso.ARRM10to60E2r1.rstFrom1monthG-chrys.220802.nc'
runName = 'E3SM-Arcticv2.1_historical'
#runName = 'E3SM-Arcticv2.1_historical0151'
##runName = 'E3SMv2.1B60to10rA02'
# Relevant for streamlines case
remap = 'cmip6_720x1440_aave.20240401'
remapFile = f'/global/cfs/cdirs/m1199/diagnostics/maps/map_ARRM10to60E2r1_to_{remap}.nc'
# Settings for erdc.hpc.mil
#meshFile = f'/p/app/unsupported/RASM/acme/inputdata/ocn/mpas-o/ARRM10to60E2r1/mpaso.ARRM10to60E2r1.rstFrom1monthG-chrys.220802.nc'
#runName = 'E3SMv2.1B60to10rA02'
# Relevant for streamlines case
#remap = 'cmip6_720x1440_aave.20240401'
#remapFile = f'/p/home/milena/diagnostics/maps/map_ARRM10to60E2r1_to_{remap}.nc'
# variable name with respect to which composites were computed
varRef = 'maxMLD'
#varRef = 'iceArea'
indir0 = f'./composites_{varRef}based_data/{runName}'
figdir0 = f'./composites_{varRef}based/{runName}'
# For 1950-control
#indir = f'Years{startYear[0]}-{endYear[0]}'
#figdir = f'Years{startYear[0]}-{endYear[0]}'
#for iy in range(1, np.size(startYear)):
# indir = f'{indir}_{startYear[iy]}-{endYear[iy]}'
# figdir = f'{figdir}_{startYear[iy]}-{endYear[iy]}'
#indir = f'{indir0}/{indir}'
#figdir = f'{figdir0}/{figdir}'
##indir = f'{indir0}/Years1-386_combiningYears1-140andYears141-386'
##figdir = f'{figdir0}/Years1-386_combiningYears1-140andYears141-386'
# For historical ensemble
indir = indir0
figdir = figdir0
if not os.path.isdir(figdir):
os.makedirs(figdir)
regionGroup = 'Arctic Regions'
groupName = regionGroup[0].lower() + regionGroup[1:].replace(' ', '')
regions = ['Greenland Sea']
#regions = ['Norwegian Sea']
climoMonths = 'JFMA' # should be consistent with composites calculation
colorIndices = [0, 14, 28, 57, 85, 113, 125, 142, 155, 170, 198, 227, 242, 255]
lon0 = -50.0
lon1 = 50.0
dlon = 10.0
lat0 = 60.0
lat1 = 80.0
dlat = 4.0
# Choose either variables in timeSeriesStatsMonthly
# or variables in timeSeriesStatsMonthlyMax (2d only) or
# ice variables (2d only)
#
# Ocean variables
modelComp = 'ocn'
modelName = 'mpaso'
mpasFile = 'timeSeriesStatsMonthly'
variables = [
# {'name': 'barotropicStreamfunction',
# 'title': 'Barotropic streamfunction',
# 'units': 'Sv',
# 'factor': 1,
# 'isvar3d': False,
# 'mpas': 'barotropicStreamfunction',
# 'clevels': [-3.6, -3.0, -2.4, -1.8, -1.2, -0.6, 0, 0.6, 1.2, 1.8, 2.4, 3.0, 3.6],
# 'cIndices': colorIndices,
# 'colormap': cmocean.cm.balance},
# #{'name': 'velSpeed',
# # 'title': 'Velocity magnitude',
# # 'units': 'cm/s',
# # 'factor': 1e2,
# # 'isvar3d': True,
# # 'mpas': None,
# # 'clevels': [0.5, 1, 2, 5, 8, 10, 12, 15, 20, 25, 30, 35, 40],
# # 'cIndices': colorIndices,
# # 'colormap': cmocean.cm.balance},
# {'name': 'windStressSpeed',
# 'title': 'Wind stress magnitude',
# 'units': 'N/m$^2$',
# 'factor': 1,
# 'isvar3d': False,
# 'mpas': None,
# 'clevels': [-0.03, -0.025, -0.02, -0.015, -0.01, -0.005, 0.0, 0.005, 0.01, 0.015, 0.02, 0.025, 0.03],
# 'cIndices': colorIndices,
# 'colormap': cmocean.cm.balance},
# {'name': 'spiciness',
# 'title': 'Spiciness0',
# 'units': '',
# 'factor': 1,
# 'isvar3d': True,
# 'mpas': 'spiciness0',
# 'clevels': [-0.75, -0.625, -0.5, -0.375, -0.25, -0.125, 0.0, 0.125, 0.25, 0.375, 0.5, 0.625, 0.75],
# 'cIndices': colorIndices,
# 'colormap': cmocean.cm.balance},
{'name': 'activeTracers_temperature',
'title': 'Potential Temperature',
'units': '$^\circ$C',
'factor': 1,
'isvar3d': True,
'mpas': 'timeMonthly_avg_activeTracers_temperature',
'clevels': [-3.0, -2.5, -2.0, -1.5, -1.0, -0.5, 0.0, 0.5, 1.0, 1.5, 2., 2.5, 3.],
'cIndices': colorIndices,
'colormap': cmocean.cm.balance},
# {'name': 'activeTracers_salinity',
# 'title': 'Salinity',
# 'units': 'psu',
# 'factor': 1,
# 'isvar3d': True,
# 'mpas': 'timeMonthly_avg_activeTracers_salinity',
# 'clevels': [-0.6, -0.5, -0.4, -0.3, -0.2, -0.1, 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6],
# 'cIndices': colorIndices,
# 'colormap': cmocean.cm.balance},
# {'name': 'surfaceBuoyancyForcing',
# 'title': 'Surface buoyancy flux',
# 'units': '10$^{-8}$ m$^2$ s$^{-3}$',
# 'factor': 1e8,
# 'isvar3d': False,
# 'mpas': 'timeMonthly_avg_surfaceBuoyancyForcing',
# 'clevels': [-2.4, -2, -1.6, -1.2, -0.8, -0.4, 0.0, 0.4, 0.8, 1.2, 1.6, 2, 2.4],
# 'cIndices': colorIndices,
# 'colormap': cmocean.cm.balance},
# {'name': 'sensibleHeatFlux',
# 'title': 'Sensible Heat Flux',
# 'units': 'W/m$^2$',
# 'factor': 1,
# 'isvar3d': False,
# 'mpas': 'timeMonthly_avg_sensibleHeatFlux',
# #'clevels': [-120, -100, -80, -60, -40, -20, 0.0, 20, 40, 60, 80, 100, 120], # winter months
# 'clevels': [-60, -50, -40, -30, -20, -10, 0.0, 10, 20, 30, 40, 50, 60], # summer months
# 'cIndices': colorIndices,
# 'colormap': cmocean.cm.balance},
# {'name': 'latentHeatFlux',
# 'title': 'Latent Heat Flux',
# 'units': 'W/m$^2$',
# 'factor': 1,
# 'isvar3d': False,
# 'mpas': 'timeMonthly_avg_latentHeatFlux',
# #'clevels': [-120, -100, -80, -60, -40, -20, 0.0, 20, 40, 60, 80, 100, 120], # winter months
# 'clevels': [-60, -50, -40, -30, -20, -10, 0.0, 10, 20, 30, 40, 50, 60], # summer months
# 'cIndices': colorIndices,
# 'colormap': cmocean.cm.balance},
# {'name': 'totalHeatFlux',
# 'title': 'Total Heat Flux',
# 'units': 'W/m$^2$',
# 'factor': 1,
# 'isvar3d': False,
# 'mpas': None,
# #'clevels': [-180, -150, -120, -90, -60, -30, 0.0, 30, 60, 90, 120, 150, 180], # winter months
# 'clevels': [-60, -50, -40, -30, -20, -10, 0.0, 10, 20, 30, 40, 50, 60], # summer months
# 'cIndices': colorIndices,
# 'colormap': cmocean.cm.balance},
{'name': 'seaIceFreshWaterFlux',
'title': 'Sea ice FW flux',
'units': '10$^{-6}$ kg m$^-2$ s$^-1$',
'factor': 1e6,
'isvar3d': False,
'mpas': 'timeMonthly_avg_seaIceFreshWaterFlux',
'clevels': [-150, -125, -100, -75, -50, -25, 0, 25, 50, 75, 100, 125, 150],
'cIndices': colorIndices,
'colormap': cmocean.cm.balance}
]
#
#mpasFile = 'timeSeriesStatsMonthlyMax'
#variables = [
# {'name': 'maxMLD',
# 'title': 'Maximum MLD',
# 'units': 'm',
# 'factor': 1,
# 'isvar3d': False,
# 'mpas': 'timeMonthlyMax_max_dThreshMLD',
# #'clevels': [-120, -100, -80, -60, -40, -20, 0, 20, 40, 60, 80, 100, 120], # summer months
# 'clevels': [-1200, -1000, -800, -600, -400, -200, 0, 200, 400, 600, 800, 1000, 1200], # winter months
# 'cIndices': colorIndices,
# 'colormap': cmocean.cm.balance},
# ]
# Sea ice variables
#modelComp = 'ice'
#modelName = 'mpassi'
#mpasFile = 'timeSeriesStatsMonthly'
#variables = [
# {'name': 'iceArea',
# 'title': 'Sea Ice Concentration',
# 'units': '%',
# 'factor': 100,
# 'isvar3d': False,
# 'mpas': 'timeMonthly_avg_iceAreaCell',
# 'clevels': [-90, -75, -60, -45, -30, -15, 0.0, 15, 30, 45, 60, 75, 90],
# 'cIndices': colorIndices,
# 'colormap': cmocean.cm.balance},
# {'name': 'iceVolume',
# 'title': 'Sea Ice Thickness',
# 'units': 'm',
# 'factor': 1,
# 'isvar3d': False,
# 'mpas': 'timeMonthly_avg_iceVolumeCell',
# 'clevels': [-1.5, -1.25, -1, -0.75, -0.5, -0.25, 0.0, 0.25, 0.5, 0.75, 1, 1.25, 1.5],
# 'cIndices': colorIndices,
# 'colormap': cmocean.cm.balance},
# {'name': 'iceSpeed',
# 'title': 'Sea Ice speed',
# 'units': 'm/s',
# 'factor': 1,
# 'isvar3d': False,
# 'mpas': None,
# 'clevels': [-0.06, -0.05, -0.04, -0.03, -0.02, -0.01, 0.0, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06],
# 'cIndices': colorIndices,
# 'colormap': cmocean.cm.balance},
# ]
clevelsrel = [-60, -50, -40, -30, -20, -10, 0.0, 10, 20, 30, 40, 50, 60]
plotDepthAvg = False
# zmins/zmaxs [m] (relevant for 3d variables and if plotDepthAvg = True)
#zmins = [-50., -600., -8000.]
#zmaxs = [0., -100., 0.]
zmins = [-50.]
zmaxs = [0.]
#zmins = [-50., -600.]
#zmaxs = [0., -100.]
#zmins = [-600.]
#zmaxs = [0.]
# z levels [m] (relevant for 3d variables and if plotDepthAvg = False)
#dlevels = [0.]
#dlevels = [50., 100.]
dlevels = [0., 50., 100.]
#dlevels = [300.]
# Info about MPAS mesh
dsMesh = xr.open_dataset(meshFile)
lonCell = dsMesh.lonCell.values
latCell = dsMesh.latCell.values
lonCell = 180/np.pi*lonCell
latCell = 180/np.pi*latCell
lonVertex = dsMesh.lonVertex.values
latVertex = dsMesh.latVertex.values
lonVertex = 180/np.pi*lonVertex
latVertex = 180/np.pi*latVertex
# Find model levels for each depth level (relevant if plotDepthAvg = False)
z = dsMesh.refBottomDepth
zlevels = np.zeros(np.shape(dlevels), dtype=np.int64)
for id in range(len(dlevels)):
dz = np.abs(z.values-dlevels[id])
zlevels[id] = np.argmin(dz)
# Make depth mask (also relevant if plotDepthAvg = False, because depth averaged fields are already masked)
maxLevelCell = dsMesh.maxLevelCell
nVertLevels = dsMesh.sizes['nVertLevels']
vertIndex = xr.DataArray.from_dict({'dims': ('nVertLevels',), 'data': np.arange(nVertLevels)})
depthMask = (vertIndex < maxLevelCell).transpose('nCells', 'nVertLevels')
# Plot monthly climatologies associated with previously computed composites
for regionName in regions:
print(f'\nPlot composites based on {varRef} for region: {regionName}')
regionNameShort = regionName[0].lower() + regionName[1:].replace(' ', '').replace('(', '_').replace(')', '').replace('/', '_')
for im in range(1, 13):
#for im in range(1, 5): # winter months
#for im in range(5, 13): # summer months
#for im in range(3, 4):
print(f' Month: {im}')
for var in variables:
varname = var['name']
print(f' var: {varname}')
varmpasname = var['mpas']
isvar3d = var['isvar3d']
varfactor = var['factor']
varunits = var['units']
vartitle = var['title']
colormap = var['colormap']
colorIndices = var['cIndices']
clevels = var['clevels']
if varname=='iceSpeed' or varname=='barotropicStreamfunction':
x = lonVertex
y = latVertex
else:
x = lonCell
y = latCell
if varname=='velSpeed':
# Regrid velocityZonal and velocityMeridional (if necessary)
if plotDepthAvg:
# Compute the depth average first and then regrid
for iz in range(len(zmins)):
zmin = zmins[iz]
zmax = zmaxs[iz]
# Check if regridded uLow file exists
fileHead = f'velocityZonalDepthAvg_z{np.abs(np.int32(zmax)):04d}-{np.abs(np.int32(zmin)):04d}_{varRef}low_{climoMonths}_{regionNameShort}_M{im:02d}'
infileLow_u = f'{indir}/{fileHead}_{remap}.nc'
if not os.path.isfile(infileLow_u):
print(f'\nRegridded file {infileLow_u} does not exist. Creating it with ncremap...')
infileLow_uNative = f'{indir}/{fileHead}.nc'
if not os.path.isfile(infileLow_uNative):
raise IOError(f'Native file {infileLow_uNative} does not exist. Need to create it with compute_composites')
else:
args = ['ncremap', '-a', 'trbilin', '-m', remapFile, '-P', 'mpaso']
args.append(infileLow_uNative)
args.append(infileLow_u)
subprocess.check_call(args)
# Check if regridded vLow file exists
fileHead = f'velocityMeridionalDepthAvg_z{np.abs(np.int32(zmax)):04d}-{np.abs(np.int32(zmin)):04d}_{varRef}low_{climoMonths}_{regionNameShort}_M{im:02d}'
infileLow_v = f'{indir}/{fileHead}_{remap}.nc'
if not os.path.isfile(infileLow_v):
print(f'\nRegridded file {infileLow_v} does not exist. Creating it with ncremap...')
infileLow_vNative = f'{indir}/{fileHead}.nc'
if not os.path.isfile(infileLow_vNative):
raise IOError(f'Native file {infileLow_vNative} does not exist. Need to create it with compute_composites')
else:
args = ['ncremap', '-a', 'trbilin', '-m', remapFile, '-P', 'mpaso']
args.append(infileLow_vNative)
args.append(infileLow_v)
subprocess.check_call(args)
# Check if regridded uHigh file exists
fileHead = f'velocityZonalDepthAvg_z{np.abs(np.int32(zmax)):04d}-{np.abs(np.int32(zmin)):04d}_{varRef}high_{climoMonths}_{regionNameShort}_M{im:02d}'
infileHigh_u = f'{indir}/{fileHead}_{remap}.nc'
if not os.path.isfile(infileHigh_u):
print(f'\nRegridded file {infileHigh_u} does not exist. Creating it with ncremap...')
infileHigh_uNative = f'{indir}/{fileHead}.nc'
if not os.path.isfile(infileHigh_uNative):
raise IOError(f'Native file {infileHigh_uNative} does not exist. Need to create it with compute_composites')
else:
args = ['ncremap', '-a', 'trbilin', '-m', remapFile, '-P', 'mpaso']
args.append(infileHigh_uNative)
args.append(infileHigh_u)
subprocess.check_call(args)
# Check if regridded vHigh file exists
fileHead = f'velocityMeridionalDepthAvg_z{np.abs(np.int32(zmax)):04d}-{np.abs(np.int32(zmin)):04d}_{varRef}high_{climoMonths}_{regionNameShort}_M{im:02d}'
infileHigh_v = f'{indir}/{fileHead}_{remap}.nc'
if not os.path.isfile(infileHigh_v):
print(f'\nRegridded file {infileHigh_v} does not exist. Creating it with ncremap...')
infileHigh_vNative = f'{indir}/{fileHead}.nc'
if not os.path.isfile(infileHigh_vNative):
raise IOError(f'Native file {infileHigh_vNative} does not exist. Need to create it with compute_composites')
else:
args = ['ncremap', '-a', 'trbilin', '-m', remapFile, '-P', 'mpaso']
args.append(infileHigh_vNative)
args.append(infileHigh_v)
subprocess.check_call(args)
else: # plotDepthAvg = False
# Regrid the 3d fields
# Check if regridded uLow file exists
fileHead = f'velocityZonal_{varRef}low_{climoMonths}_{regionNameShort}_M{im:02d}'
infileLow_u = f'{indir}/{fileHead}_{remap}.nc'
if not os.path.isfile(infileLow_u):
print(f'\nRegridded file {infileLow_u} does not exist. Creating it with ncremap...')
infileLow_uNative = f'{indir}/{fileHead}.nc'
if not os.path.isfile(infileLow_uNative):
raise IOError(f'Native file {infileLow_uNative} does not exist. Need to create it with compute_composites')
else:
args = ['ncremap', '-a', 'trbilin', '-m', remapFile, '-P', 'mpaso']
args.append(infileLow_uNative)
args.append(infileLow_u)
subprocess.check_call(args)
# Check if regridded vLow file exists
fileHead = f'velocityMeridional_{varRef}low_{climoMonths}_{regionNameShort}_M{im:02d}'
infileLow_v = f'{indir}/{fileHead}_{remap}.nc'
if not os.path.isfile(infileLow_v):
print(f'\nRegridded file {infileLow_v} does not exist. Creating it with ncremap...')
infileLow_vNative = f'{indir}/{fileHead}.nc'
if not os.path.isfile(infileLow_vNative):
raise IOError(f'Native file {infileLow_vNative} does not exist. Need to create it with compute_composites')
else:
args = ['ncremap', '-a', 'trbilin', '-m', remapFile, '-P', 'mpaso']
args.append(infileLow_vNative)
args.append(infileLow_v)
subprocess.check_call(args)
# Check if regridded uHigh file exists
fileHead = f'velocityZonal_{varRef}high_{climoMonths}_{regionNameShort}_M{im:02d}'
infileHigh_u = f'{indir}/{fileHead}_{remap}.nc'
if not os.path.isfile(infileHigh_u):
print(f'\nRegridded file {infileHigh_u} does not exist. Creating it with ncremap...')
infileHigh_uNative = f'{indir}/{fileHead}.nc'
if not os.path.isfile(infileHigh_uNative):
raise IOError(f'Native file {infileHigh_uNative} does not exist. Need to create it with compute_composites')
else:
args = ['ncremap', '-a', 'trbilin', '-m', remapFile, '-P', 'mpaso']
args.append(infileHigh_uNative)
args.append(infileHigh_u)
subprocess.check_call(args)
# Check if regridded vHigh file exists
fileHead = f'velocityMeridional_{varRef}high_{climoMonths}_{regionNameShort}_M{im:02d}'
infileHigh_v = f'{indir}/{fileHead}_{remap}.nc'
if not os.path.isfile(infileHigh_v):
print(f'\nRegridded file {infileHigh_v} does not exist. Creating it with ncremap...')
infileHigh_vNative = f'{indir}/{fileHead}.nc'
if not os.path.isfile(infileHigh_vNative):
raise IOError(f'Native file {infileHigh_vNative} does not exist. Need to create it with compute_composites')
else:
args = ['ncremap', '-a', 'trbilin', '-m', remapFile, '-P', 'mpaso']
args.append(infileHigh_vNative)
args.append(infileHigh_v)
subprocess.check_call(args)
elif varname=='windStressSpeed':
infileLow_u = f'{indir}/windStressZonal_{varRef}low_{climoMonths}_{regionNameShort}_M{im:02d}.nc'
if not os.path.isfile(infileLow_u):
raise IOError(f'File {infileLow_u} does not exist. Need to create it with compute_composites')
infileLow_v = f'{indir}/windStressMeridional_{varRef}low_{climoMonths}_{regionNameShort}_M{im:02d}.nc'
if not os.path.isfile(infileLow_v):
raise IOError(f'File {infileLow_v} does not exist. Need to create it with compute_composites')
infileHigh_u = f'{indir}/windStressZonal_{varRef}high_{climoMonths}_{regionNameShort}_M{im:02d}.nc'
if not os.path.isfile(infileHigh_u):
raise IOError(f'File {infileHigh_u} does not exist. Need to create it with compute_composites')
infileHigh_v = f'{indir}/windStressMeridional_{varRef}high_{climoMonths}_{regionNameShort}_M{im:02d}.nc'
if not os.path.isfile(infileHigh_v):
raise IOError(f'File {infileHigh_v} does not exist. Need to create it with compute_composites')
elif varname=='iceSpeed':
infileLow_u = f'{indir}/uVelocityGeo_{varRef}low_{climoMonths}_{regionNameShort}_M{im:02d}.nc'
if not os.path.isfile(infileLow_u):
raise IOError(f'File {infileLow_u} does not exist. Need to create it with compute_composites')
infileLow_v = f'{indir}/vVelocityGeo_{varRef}low_{climoMonths}_{regionNameShort}_M{im:02d}.nc'
if not os.path.isfile(infileLow_v):
raise IOError(f'File {infileLow_v} does not exist. Need to create it with compute_composites')
infileHigh_u = f'{indir}/uVelocityGeo_{varRef}high_{climoMonths}_{regionNameShort}_M{im:02d}.nc'
if not os.path.isfile(infileHigh_u):
raise IOError(f'File {infileHigh_u} does not exist. Need to create it with compute_composites')
infileHigh_v = f'{indir}/vVelocityGeo_{varRef}high_{climoMonths}_{regionNameShort}_M{im:02d}.nc'
if not os.path.isfile(infileHigh_v):
raise IOError(f'File {infileHigh_v} does not exist. Need to create it with compute_composites')
elif varname=='totalHeatFlux':
infileLow_sensible = f'{indir}/sensibleHeatFlux_{varRef}low_{climoMonths}_{regionNameShort}_M{im:02d}.nc'
if not os.path.isfile(infileLow_sensible):
raise IOError(f'File {infileLow_sensible} does not exist. Need to create it with compute_composites')
infileLow_latent = f'{indir}/latentHeatFlux_{varRef}low_{climoMonths}_{regionNameShort}_M{im:02d}.nc'
if not os.path.isfile(infileLow_latent):
raise IOError(f'File {infileLow_latent} does not exist. Need to create it with compute_composites')
infileLow_LRdown = f'{indir}/longWaveHeatFluxDown_{varRef}low_{climoMonths}_{regionNameShort}_M{im:02d}.nc'
if not os.path.isfile(infileLow_LRdown):
raise IOError(f'File {infileLow_LRdown} does not exist. Need to create it with compute_composites')
infileLow_LRup = f'{indir}/longWaveHeatFluxUp_{varRef}low_{climoMonths}_{regionNameShort}_M{im:02d}.nc'
if not os.path.isfile(infileLow_LRup):
raise IOError(f'File {infileLow_LRup} does not exist. Need to create it with compute_composites')
infileLow_SR = f'{indir}/shortWaveHeatFlux_{varRef}low_{climoMonths}_{regionNameShort}_M{im:02d}.nc'
if not os.path.isfile(infileLow_SR):
raise IOError(f'File {infileLow_SR} does not exist. Need to create it with compute_composites')
infileHigh_sensible = f'{indir}/sensibleHeatFlux_{varRef}high_{climoMonths}_{regionNameShort}_M{im:02d}.nc'
if not os.path.isfile(infileHigh_sensible):
raise IOError(f'File {infileHigh_sensible} does not exist. Need to create it with compute_composites')
infileHigh_latent = f'{indir}/latentHeatFlux_{varRef}high_{climoMonths}_{regionNameShort}_M{im:02d}.nc'
if not os.path.isfile(infileHigh_latent):
raise IOError(f'File {infileHigh_latent} does not exist. Need to create it with compute_composites')
infileHigh_LRdown = f'{indir}/longWaveHeatFluxDown_{varRef}high_{climoMonths}_{regionNameShort}_M{im:02d}.nc'
if not os.path.isfile(infileHigh_LRdown):
raise IOError(f'File {infileHigh_LRdown} does not exist. Need to create it with compute_composites')
infileHigh_LRup = f'{indir}/longWaveHeatFluxUp_{varRef}high_{climoMonths}_{regionNameShort}_M{im:02d}.nc'
if not os.path.isfile(infileHigh_LRup):
raise IOError(f'File {infileHigh_LRup} does not exist. Need to create it with compute_composites')
infileHigh_SR = f'{indir}/shortWaveHeatFlux_{varRef}high_{climoMonths}_{regionNameShort}_M{im:02d}.nc'
if not os.path.isfile(infileHigh_SR):
raise IOError(f'File {infileHigh_SR} does not exist. Need to create it with compute_composites')
else: # other variables
infileLow = f'{indir}/{varname}_{varRef}low_{climoMonths}_{regionNameShort}_M{im:02d}.nc'
if not os.path.isfile(infileLow):
raise IOError(f'Native file {infileLow} does not exist. Need to create it with compute_composites')
infileHigh = f'{indir}/{varname}_{varRef}high_{climoMonths}_{regionNameShort}_M{im:02d}.nc'
if not os.path.isfile(infileHigh):
raise IOError(f'Native file {infileHigh} does not exist. Need to create it with compute_composites')
if isvar3d:
if plotDepthAvg:
for iz in range(len(zmins)):
zmin = zmins[iz]
zmax = zmaxs[iz]
figtitle = f'HC-LC difference, {vartitle} (avg over z=[{np.abs(np.int32(zmax))}-{np.abs(np.int32(zmin))}] m), month={im}'
figfile = f'{figdir}/{varname}_z{np.abs(np.int32(zmax)):04d}-{np.abs(np.int32(zmin)):04d}_{varRef}diff_{climoMonths}_{regionNameShort}_M{im:02d}.png'
#figfilerel = f'{figdir}/{varname}_z{np.abs(np.int32(zmax)):04d}-{np.abs(np.int32(zmin)):04d}_{varRef}diffrel_{climoMonths}_{regionNameShort}_M{im:02d}.png'
if varname=='velSpeed':
uLow = xr.open_dataset(infileLow_u).isel(Time=0).timeMonthly_avg_velocityZonal.values
vLow = xr.open_dataset(infileLow_v).isel(Time=0).timeMonthly_avg_velocityMeridional.values
uHigh = xr.open_dataset(infileHigh_u).isel(Time=0).timeMonthly_avg_velocityZonal.values
vHigh = xr.open_dataset(infileHigh_v).isel(Time=0).timeMonthly_avg_velocityMeridional.values
uLow = varfactor * uLow
vLow = varfactor * vLow
uHigh = varfactor * uHigh
vHigh = varfactor * vHigh
speedLow = 0.5 * np.sqrt(uLow*uLow + vLow*vLow)
speedHigh = 0.5 * np.sqrt(uHigh*uHigh + vHigh*vHigh)
diff = speedHigh-speedLow
#diffrel = diff/np.abs(0.5*(speedHigh+speedLow))
lon = xr.open_dataset(infileLow_u).lon.values
lat = xr.open_dataset(infileLow_u).lat.values
make_contourf_plot(lon, lat, diff, colormap, clevels, colorIndices, varunits,
figtitle, figfile, contourFld=None, contourValues=None, projectionName='NorthPolarStereo',
lon0=lon0, lon1=lon1, dlon=dlon, lat0=lat0, lat1=lat1, dlat=dlat)
#make_contourf_plot(lon, lat, diffrel, colormap, clevelsrel, colorIndices, '%',
# figtitle, figfilerel, contourFld=None, contourValues=None, projectionName='NorthPolarStereo',
# lon0=lon0, lon1=lon1, dlon=dlon, lat0=lat0, lat1=lat1, dlat=dlat)
else:
infileLow = f'{indir}/{varname}DepthAvg_z{np.abs(np.int32(zmax)):04d}-{np.abs(np.int32(zmin)):04d}_{varRef}low_{climoMonths}_{regionNameShort}_M{im:02d}.nc'
if not os.path.isfile(infileLow):
raise IOError(f'Native file {infileLow} does not exist. Need to create it with compute_composites')
infileHigh = f'{indir}/{varname}DepthAvg_z{np.abs(np.int32(zmax)):04d}-{np.abs(np.int32(zmin)):04d}_{varRef}high_{climoMonths}_{regionNameShort}_M{im:02d}.nc'
if not os.path.isfile(infileHigh):
raise IOError(f'Native file {infileHigh} does not exist. Need to create it with compute_composites')
dsFieldLow = xr.open_dataset(infileLow).isel(Time=0)[varmpasname]
dsFieldHigh = xr.open_dataset(infileHigh).isel(Time=0)[varmpasname]
fldLow = varfactor * dsFieldLow.values
fldHigh = varfactor * dsFieldHigh.values
diff = fldHigh-fldLow
#diffrel = diff/np.abs(0.5*(fldHigh+fldLow))
dotSize = 1.2 # this should go up as resolution decreases
make_scatter_plot(x, y, dotSize, figtitle, figfile, projectionName='NorthPolarStereo',
lon0=lon0, lon1=lon1, dlon=dlon, lat0=lat0, lat1=lat1, dlat=dlat,
fld=diff, cmap=colormap, clevels=clevels, cindices=colorIndices, cbarLabel=varunits)
#make_scatter_plot(x, y, dotSize, figtitle, figfilerel, projectionName='NorthPolarStereo',
# lon0=lon0, lon1=lon1, dlon=dlon, lat0=lat0, lat1=lat1, dlat=dlat,
# fld=diffrel, cmap=colormap, clevels=clevelsrel, cindices=colorIndices, cbarLabel='%')
else:
for iz in range(len(dlevels)):
figtitle = f'HC-LC difference, {vartitle} (z={z[zlevels[iz]]:5.1f} m), month={im}'
figfile = f'{figdir}/{varname}_depth{int(dlevels[iz]):04d}_{varRef}diff_{climoMonths}_{regionNameShort}_M{im:02d}.png'
#figfilerel = f'{figdir}/{varname}_depth{int(dlevels[iz]):04d}_{varRef}diffrel_{climoMonths}_{regionNameShort}_M{im:02d}.png'
if varname=='velSpeed':
uLow = xr.open_dataset(infileLow_u).isel(Time=0, nVertLevels=zlevels[iz]).timeMonthly_avg_velocityZonal
vLow = xr.open_dataset(infileLow_v).isel(Time=0, nVertLevels=zlevels[iz]).timeMonthly_avg_velocityMeridional
uHigh = xr.open_dataset(infileHigh_u).isel(Time=0, nVertLevels=zlevels[iz]).timeMonthly_avg_velocityZonal
vHigh = xr.open_dataset(infileHigh_v).isel(Time=0, nVertLevels=zlevels[iz]).timeMonthly_avg_velocityMeridional
uLow = varfactor * uLow.values
vLow = varfactor * vLow.values
uHigh = varfactor * uHigh.values
vHigh = varfactor * vHigh.values
speedLow = 0.5 * np.sqrt(uLow*uLow + vLow*vLow)
speedHigh = 0.5 * np.sqrt(uHigh*uHigh + vHigh*vHigh)
diff = speedHigh-speedLow
#diffrel = diff/np.abs(0.5*(speedHigh+speedLow))
lon = xr.open_dataset(infileLow_u).lon.values
lat = xr.open_dataset(infileLow_u).lat.values
make_contourf_plot(lon, lat, diff, colormap, clevels, colorIndices, varunits,
figtitle, figfile, contourFld=None, contourValues=None, projectionName='NorthPolarStereo',
lon0=lon0, lon1=lon1, dlon=dlon, lat0=lat0, lat1=lat1, dlat=dlat)
#make_contourf_plot(lon, lat, diffrel, colormap, clevelsrel, colorIndices, '%',
# figtitle, figfilerel, contourFld=None, contourValues=None, projectionName='NorthPolarStereo',
# lon0=lon0, lon1=lon1, dlon=dlon, lat0=lat0, lat1=lat1, dlat=dlat)
else:
dsFieldLow = xr.open_dataset(infileLow).isel(Time=0, nVertLevels=zlevels[iz])[varmpasname]
dsFieldHigh = xr.open_dataset(infileHigh).isel(Time=0, nVertLevels=zlevels[iz])[varmpasname]
topoMask = depthMask.isel(nVertLevels=zlevels[iz])
dsFieldLow = dsFieldLow.where(topoMask, drop=False)
dsFieldHigh = dsFieldHigh.where(topoMask, drop=False)
fldLow = varfactor * dsFieldLow.values
fldHigh = varfactor * dsFieldHigh.values
diff = fldHigh-fldLow
#diffrel = diff/np.abs(0.5*(fldHigh+fldLow))
dotSize = 1.2 # this should go up as resolution decreases
make_scatter_plot(x, y, dotSize, figtitle, figfile, projectionName='NorthPolarStereo',
lon0=lon0, lon1=lon1, dlon=dlon, lat0=lat0, lat1=lat1, dlat=dlat,
fld=diff, cmap=colormap, clevels=clevels, cindices=colorIndices, cbarLabel=varunits)
#make_scatter_plot(x, y, dotSize, figtitle, figfilerel, projectionName='NorthPolarStereo',
# lon0=lon0, lon1=lon1, dlon=dlon, lat0=lat0, lat1=lat1, dlat=dlat,
# fld=diffrel, cmap=colormap, clevels=clevelsrel, cindices=colorIndices, cbarLabel='%')
else:
figtitle = f'HC-LC difference, {vartitle}, month={im}'
figfile = f'{figdir}/{varname}_{varRef}diff_{climoMonths}_{regionNameShort}_M{im:02d}.png'
#figfilerel = f'{figdir}/{varname}_{varRef}diffrel_{climoMonths}_{regionNameShort}_M{im:02d}.png'
if varname=='windStressSpeed':
dsFieldLow_u = xr.open_dataset(infileLow_u).isel(Time=0)['timeMonthly_avg_windStressZonal']
dsFieldLow_v = xr.open_dataset(infileLow_v).isel(Time=0)['timeMonthly_avg_windStressMeridional']
dsFieldHigh_u = xr.open_dataset(infileHigh_u).isel(Time=0)['timeMonthly_avg_windStressZonal']
dsFieldHigh_v = xr.open_dataset(infileHigh_v).isel(Time=0)['timeMonthly_avg_windStressMeridional']
fldLow = varfactor * 0.5 * np.sqrt(dsFieldLow_u.values**2 + dsFieldLow_v.values**2)
fldHigh = varfactor * 0.5 * np.sqrt(dsFieldHigh_u.values**2 + dsFieldHigh_v.values**2)
elif varname=='iceSpeed':
dsFieldLow_u = xr.open_dataset(infileLow_u).isel(Time=0)['timeMonthly_avg_uVelocityGeo']
dsFieldLow_v = xr.open_dataset(infileLow_v).isel(Time=0)['timeMonthly_avg_vVelocityGeo']
dsFieldHigh_u = xr.open_dataset(infileHigh_u).isel(Time=0)['timeMonthly_avg_uVelocityGeo']
dsFieldHigh_v = xr.open_dataset(infileHigh_v).isel(Time=0)['timeMonthly_avg_vVelocityGeo']
fldLow = varfactor * 0.5 * np.sqrt(dsFieldLow_u.values**2 + dsFieldLow_v.values**2)
fldHigh = varfactor * 0.5 * np.sqrt(dsFieldHigh_u.values**2 + dsFieldHigh_v.values**2)
elif varname=='barotropicStreamfunction':
dsFieldLow = xr.open_dataset(infileLow)[varmpasname]
dsFieldHigh = xr.open_dataset(infileHigh)[varmpasname]
fldLow = varfactor * dsFieldLow.values
fldHigh = varfactor * dsFieldHigh.values
elif varname=='totalHeatFlux':
sensibleLow = xr.open_dataset(infileLow_sensible)['timeMonthly_avg_sensibleHeatFlux']
latentLow = xr.open_dataset(infileLow_latent)['timeMonthly_avg_latentHeatFlux']
LRdownLow = xr.open_dataset(infileLow_LRdown)['timeMonthly_avg_longWaveHeatFluxDown']
LRupLow = xr.open_dataset(infileLow_LRup)['timeMonthly_avg_longWaveHeatFluxUp']
SRLow = xr.open_dataset(infileLow_SR)['timeMonthly_avg_shortWaveHeatFlux']
sensibleHigh = xr.open_dataset(infileHigh_sensible)['timeMonthly_avg_sensibleHeatFlux']
latentHigh = xr.open_dataset(infileHigh_latent)['timeMonthly_avg_latentHeatFlux']
LRdownHigh = xr.open_dataset(infileHigh_LRdown)['timeMonthly_avg_longWaveHeatFluxDown']
LRupHigh = xr.open_dataset(infileHigh_LRup)['timeMonthly_avg_longWaveHeatFluxUp']
SRHigh = xr.open_dataset(infileHigh_SR)['timeMonthly_avg_shortWaveHeatFlux']
dsFieldLow = sensibleLow + latentLow + LRdownLow + LRupLow + SRLow
dsFieldHigh = sensibleHigh + latentHigh + LRdownHigh + LRupHigh + SRHigh
fldLow = varfactor * dsFieldLow.values
fldHigh = varfactor * dsFieldHigh.values
else:
dsFieldLow = xr.open_dataset(infileLow).isel(Time=0)[varmpasname]
dsFieldHigh = xr.open_dataset(infileHigh).isel(Time=0)[varmpasname]
fldLow = varfactor * dsFieldLow.values
fldHigh = varfactor * dsFieldHigh.values
diff = fldHigh-fldLow
#diffrel = diff/np.abs(0.5*(fldHigh+fldLow))
# Mask areas with effective no ice
if varname=='iceArea' or varname=='iceVolume' or varname=='iceDivergence' or varname=='iceSpeed' or varname=='seaIceFreshWaterFlux':
fldLow[np.where(np.abs(fldLow)<1e-15)] = np.nan
fldHigh[np.where(np.abs(fldHigh)<1e-15)] = np.nan
diff = fldHigh-fldLow
dotSize = 1.2 # this should go up as resolution decreases
make_scatter_plot(x, y, dotSize, figtitle, figfile, projectionName='NorthPolarStereo',
lon0=lon0, lon1=lon1, dlon=dlon, lat0=lat0, lat1=lat1, dlat=dlat,
fld=diff, cmap=colormap, clevels=clevels, cindices=colorIndices, cbarLabel=varunits)
#make_scatter_plot(x, y, dotSize, figtitle, figfilerel, projectionName='NorthPolarStereo',
# lon0=lon0, lon1=lon1, dlon=dlon, lat0=lat0, lat1=lat1, dlat=dlat,
# fld=diffrel, cmap=colormap, clevels=clevelsrel, cindices=colorIndices, cbarLabel='%')