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steric-test-G-cases.py
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#!/usr/bin/env python
'''
Script to compare some scalar values from different runs of Thwaites melt variability experiment.
'''
from __future__ import absolute_import, division, print_function, unicode_literals
import sys
import os
import netCDF4
import datetime
import numpy as np
import matplotlib.pyplot as plt
import scipy.signal
from matplotlib import cm
import gsw
from gsw.density import sigma0
fmesh=netCDF4.Dataset('/project/projectdirs/e3sm/inputdata/ocn/mpas-o/oEC60to30v3wLI/oEC60to30v3wLI60lev.171031.nc') # Cryo
#fmesh=netCDF4.Dataset('/global/cscratch1/sd/hoffman2/SLR_tests/oEC60to30v3_60layer.restartFrom_anvil0926.171101.nc') # WC v1
latCell = fmesh.variables['latCell'][:]
lonCell = fmesh.variables['lonCell'][:]
xCell = fmesh.variables['xCell'][:]
yCell = fmesh.variables['yCell'][:]
depths = fmesh.variables['refBottomDepth'][:]
areaCell = fmesh.variables['areaCell'][:]
bottomDepth = fmesh.variables['bottomDepth'][:]
maxLevelCell = fmesh.variables['maxLevelCell'][:]
areaCell = fmesh.variables['areaCell'][:]
pii=3.14159
g=9.8101
# ---- Choose time(s) -----
#yrs=(10, 30, 50, 60, 70,80, 90, 100, 150)
#yrs=(10, 30, 50, 60, 70,80, 90, 100, 100)
#yrs=np.arange(1,150,1)
yrs=np.arange(1,120,2)
#yrs=(50, 50, 50, 60, 70,80, 90, 100, 150)
#yrs = np.arange(95,102,1)
mos=(1,)
mo=1
#mos=np.arange(1,13,1)
# -------------------------
# ---- Choose spatial extent -----
#idx = np.nonzero(np.logical_and(np.logical_and(latCell<-70.0/180.0*pii, latCell>-85.0/180.0*pii), np.logical_and(lonCell>300.0/360.0*2.0*pii, lonCell<350.0/360.0*2*pii)))[0] #entire weddell
#idx = np.nonzero(np.logical_and(np.logical_and(latCell<-70.0/180.0*pii, latCell>-85.0/180.0*pii), np.logical_and(lonCell>270.0/360.0*2.0*pii, lonCell<350.0/360.0*2*pii)))[0] #entire weddell wider
#idx = np.nonzero( (latCell<-60.0/180.0*pii) * (latCell>-85.0/180.0*pii) * np.logical_or(lonCell>280.0/360.0*2.0*pii, lonCell<80.0/360.0*2*pii))[0]; size=1.4; fsz=(15,9) # weddell to Amery
idx = np.nonzero( (latCell<-50.0/180.0*pii) )[0] # SO
idx = np.nonzero(latCell<99999999999999999)[0]
print("Found {} cells in idx".format(len(idx)))
mo=1
rho_ref = 1036.0 # typical surface density
#rho_ref = 1026.0 # E3SM rho_sw
def SL(file):
rho = file.variables['timeMonthly_avg_density'] [0, :, :]
layerThickness = file.variables['timeMonthly_avg_layerThickness'][0, :, :]
ssh = file.variables['timeMonthly_avg_ssh'][0,:]
pressAdjSSH = file.variables['timeMonthly_avg_pressureAdjustedSSH'][0,:]
nCells = len(file.dimensions['nCells'])
SL = np.zeros((nCells,))
SLv = np.zeros((nCells,))
ht = np.zeros((nCells,))
cnt = 0
upperOnly = False
if upperOnly:
# This way is much slower to run
for i in idx:
maxLev = maxLevelCell[i]
bottomDepthHere = bottomDepth[i]
thicknessSum = layerThickness[i, :maxLev].sum()
thicknessCumSum = layerThickness[i, :maxLev].cumsum()
zSurf = bottomDepthHere - thicknessSum
zLayerBot = zSurf - thicknessCumSum
z = zLayerBot + 0.5 * layerThickness
k = np.where(zLayerBot > -700.0)[0][-1]
SL[cnt] = -1.0 / rho_ref * (rho[i, :k+1] * layerThickness[i, :k+1]).sum()
#print(maxLev, k, zLayerBot.shape)
if k+1 <= maxLev-1:
if zLayerBot[k+1] < -700.0:
# add in partial layer
SL[cnt] += -1.0 / rho_ref * (rho[i, k+1] * (zLayerBot[k+1] - -700.0))
cnt += 1
else:
for i in idx:
maxLev = maxLevelCell[i]
#SL[cnt] = -1.0 / rho_ref * (rho[i, :maxLev] * layerThickness[i, :maxLev]).sum()
SL[i] = -1.0 / rho_ref * (rho[i, :maxLev] * layerThickness[i, :maxLev]).sum() + bottomDepth[i]
SLv[i] = (rho_ref/rho[i, :maxLev] * layerThickness[i, :maxLev]).sum() - bottomDepth[i]
ht[i] = layerThickness[i, :maxLev].sum() - bottomDepth[i]
# if SL[cnt] > 990:
# print('maxLev=',maxLev,' bottomDepth=',bottomDepth[i], ' nz=', rho.shape, ' SL=',SL[cnt], ' ssh=',ssh[i], ' ssh_adj=',pressAdjSSH[i])
# print('rho:', rho[i,:])
#
# print('layerThick:', layerThickness[i,:])
# sys.exit()
#SL[i] = SL[i] - 1.0/rho_ref * (pressAdjSSH[i] - ssh[i]) * 1035.0/1026.0 * rho[i,0]
SL[i] = SL[i] - 1.0/rho_ref * (pressAdjSSH[i] - ssh[i]) * 1026.0
SLv[i] = SLv[i] +(pressAdjSSH[i] - ssh[i]) * 1035.0/1026.0 * rho_ref/rho[i,0]
ht[i] = ht[i] + (pressAdjSSH[i] - ssh[i]) * 1035.0/1026.0
cnt += 1
# ssh = file.variables['timeMonthly_avg_ssh'][0,:]
# pressAdjSSH = file.variables['timeMonthly_avg_pressureAdjustedSSH'][0,:]
# SL = SL + (pressAdjSSH - ssh) * 1035.0/1026.0
return SL, SLv, ht
yrs='0120-0129'
f1=netCDF4.Dataset('/global/cscratch1/sd/hoffman2/SLR_tests/Cryo-G-cases/noEAmelt/mpaso.hist.{}.nc'.format(yrs), 'r')
f2=netCDF4.Dataset('/global/cscratch1/sd/hoffman2/SLR_tests/Cryo-G-cases/ISMF/mpaso.hist.{}.nc'.format(yrs), 'r')
SL1, SLv1, ht1 = SL(f1)
SL2, SLv2, ht2 = SL(f2)
SLCdiff = (SL2 - SL1)
size = 1
figSL = plt.figure(10, facecolor='w', figsize=(14, 6))
nrow=1
ncol=3
idx = np.nonzero( (latCell<-50.0/180.0*pii) )[0] # SO
ax = figSL.add_subplot(nrow, ncol, 1)
rng=10
#plt.scatter(lonCell[idx], latCell[idx], s=size, c=SL1[idx], vmin=-rng, vmax=rng, cmap='RdBu_r')
plt.scatter(yCell[idx], xCell[idx], s=size, c=SL1[idx], vmin=-rng, vmax=rng, cmap='RdBu_r')
plt.colorbar()
plt.title('SL1 (m)')
ax.axis('equal'); plt.axis('off')
ax = figSL.add_subplot(nrow, ncol, 2)
#plt.scatter(lonCell[idx], latCell[idx], s=size, c=SL2[idx], vmin=-rng, vmax=rng, cmap='RdBu_r')
plt.scatter(yCell[idx], xCell[idx], s=size, c=SL2[idx], vmin=-rng, vmax=rng, cmap='RdBu_r')
plt.colorbar()
plt.title('SL2 (m)')
ax.axis('equal'); plt.axis('off')
ax = figSL.add_subplot(nrow, ncol, 3)
rng=0.25
plt.scatter(yCell[idx], xCell[idx], s=size, c=SLCdiff[idx], vmin=-rng, vmax=rng, cmap='RdBu_r')
plt.colorbar(shrink=.3)
plt.title('SL diff (m)')
ax.axis('equal'); plt.axis('off')
figSLv = plt.figure(12, facecolor='w', figsize=(14, 6))
nrow=1
ncol=3
idx = np.nonzero( (latCell<-50.0/180.0*pii) )[0] # SO
ax = figSLv.add_subplot(nrow, ncol, 1)
rng=10
#plt.scatter(lonCell[idx], latCell[idx], s=size, c=SL1[idx], vmin=-rng, vmax=rng, cmap='RdBu_r')
plt.scatter(yCell[idx], xCell[idx], s=size, c=SLv1[idx], vmin=-rng, vmax=rng, cmap='RdBu_r')
plt.colorbar()
plt.title('SLv1 (m)')
ax.axis('equal'); plt.axis('off')
ax = figSLv.add_subplot(nrow, ncol, 2)
#plt.scatter(lonCell[idx], latCell[idx], s=size, c=SL2[idx], vmin=-rng, vmax=rng, cmap='RdBu_r')
plt.scatter(yCell[idx], xCell[idx], s=size, c=SLv2[idx], vmin=-rng, vmax=rng, cmap='RdBu_r')
plt.colorbar()
plt.title('SLv2 (m)')
ax.axis('equal'); plt.axis('off')
ax = figSLv.add_subplot(nrow, ncol, 3)
rng=0.25
plt.scatter(yCell[idx], xCell[idx], s=size, c=SLv2[idx]-SLv1[idx], vmin=-rng, vmax=rng, cmap='RdBu_r')
plt.colorbar(shrink=.3)
plt.title('SLv diff (m)')
ax.axis('equal'); plt.axis('off')
fight = plt.figure(11, facecolor='w', figsize=(14, 6))
nrow=1
ncol=3
idx = np.nonzero( (latCell<-50.0/180.0*pii) )[0] # SO
ax = fight.add_subplot(nrow, ncol, 1)
rng=3
plt.scatter(yCell[idx], xCell[idx], s=size, c=ht1[idx], vmin=-rng, vmax=rng, cmap='RdBu_r')
plt.colorbar()
plt.title('ht1 (m)')
ax.axis('equal'); plt.axis('off')
ax = fight.add_subplot(nrow, ncol, 2)
#plt.scatter(lonCell[idx], latCell[idx], s=size, c=SL2[idx], vmin=-rng, vmax=rng, cmap='RdBu_r')
plt.scatter(yCell[idx], xCell[idx], s=size, c=ht2[idx], vmin=-rng, vmax=rng, cmap='RdBu_r')
plt.colorbar()
plt.title('ht2 (m)')
ax.axis('equal'); plt.axis('off')
ax = fight.add_subplot(nrow, ncol, 3)
rng=0.25
plt.scatter(yCell[idx], xCell[idx], s=size, c=ht2[idx]-ht1[idx], vmin=-rng, vmax=rng, cmap='RdBu_r')
plt.colorbar(shrink=.3)
plt.title('ht diff (m)')
ax.axis('equal'); plt.axis('off')
SSH = f1.variables['timeMonthly_avg_ssh'][0,:]
pressAdjSSH = f1.variables['timeMonthly_avg_pressureAdjustedSSH'][0,:]
pressAdjSSH2= f2.variables['timeMonthly_avg_pressureAdjustedSSH'][0,:]
#ax = fig2.add_subplot(nrow, ncol, 1)
#plt.scatter(lonCell[idx], latCell[idx], s=size, c=pressAdjSSH, vmin=-2, vmax=2, cmap='RdBu_r')
#plt.colorbar()
#plt.title('pressAdjSSH (m)')
#
#ax = fig2.add_subplot(nrow, ncol, 2)
#plt.scatter(lonCell[idx], latCell[idx], s=size, c=SSH, vmin=-2, vmax=2, cmap='RdBu_r')
#plt.colorbar()
#plt.title('SSH (m)')
#
#ax = fig2.add_subplot(nrow, ncol, 3)
#plt.scatter(lonCell[idx], latCell[idx], s=size, c=pressAdjSSH-SSH, vmin=-2, vmax=2, cmap='RdBu_r')
#plt.colorbar()
#plt.title('diff (m)')
#
# SO diffs
idx = np.nonzero( (latCell<-50.0/180.0*pii) )[0] # SO
fig2 = plt.figure(2, facecolor='w', figsize=(14, 6))
nrow=1
ncol=2
ax = fig2.add_subplot(nrow, ncol, 1)
rng=0.25
plt.scatter(yCell[idx], xCell[idx], s=size, c=SLCdiff[idx], vmin=-rng, vmax=rng, cmap='RdBu_r')
#plt.scatter(yCell[idx], xCell[idx], s=size, c=SLCdiff[idx], vmin=-0.035, vmax=-0.005, cmap='turbo')
plt.colorbar(shrink=.3)
plt.title('steric SL diff (m)')
ax.axis('equal'); plt.axis('off')
ax = fig2.add_subplot(nrow, ncol, 2)
rng=0.1
#plt.scatter(lonCell[idx], latCell[idx], s=size, c=pressAdjSSH2-pressAdjSSHRef, vmin=-rng, vmax=rng, cmap='RdBu_r')
plt.scatter(yCell[idx], xCell[idx], s=size, c=pressAdjSSH2[idx]-pressAdjSSH[idx], vmin=-rng, vmax=rng, cmap='RdBu_r')
ax.axis('equal'); plt.axis('off')
plt.colorbar(shrink=.3)
plt.title('SSH diff (m)')
# SO diffs - remove global trend
idx = np.nonzero( (latCell<-50.0/180.0*pii) )[0] # SO
fig4 = plt.figure(4, facecolor='w', figsize=(14, 6))
nrow=1
ncol=2
ax = fig4.add_subplot(nrow, ncol, 1)
rng=0.25
plt.scatter(yCell[idx], xCell[idx], s=size, c=SLCdiff[idx] - SLCdiff[~idx].mean(), vmin=-rng, vmax=rng, cmap='RdBu_r')
plt.scatter(yCell[idx], xCell[idx], s=size, c=SLCdiff[idx], cmap='turbo')
plt.colorbar(shrink=.3)
plt.title('steric SL diff (m)')
ax.axis('equal'); plt.axis('off')
ax = fig4.add_subplot(nrow, ncol, 2)
rng=0.1
plt.scatter(yCell[idx], xCell[idx], s=size, c=pressAdjSSH2[idx]-pressAdjSSH[idx] - (pressAdjSSH2[~idx]-pressAdjSSH[~idx]).mean(), vmin=-rng, vmax=rng, cmap='RdBu_r')
ax.axis('equal'); plt.axis('off')
plt.colorbar(shrink=.3)
plt.title('SSH diff (m)')
# plot global
idx = np.nonzero(latCell<99999999999999999)[0]
fig3 = plt.figure(3, facecolor='w', figsize=(14, 6))
nrow=1
ncol=2
ax = fig3.add_subplot(nrow, ncol, 1)
rng=0.25
plt.scatter(lonCell[idx], latCell[idx], s=size, c=SLCdiff[idx], vmin=-rng, vmax=rng, cmap='RdBu_r')
plt.colorbar(shrink=.3)
plt.title('steric SL diff (m)')
ax.axis('equal'); plt.axis('off')
ax = fig3.add_subplot(nrow, ncol, 2)
rng=0.1
#plt.scatter(lonCell[idx], latCell[idx], s=size, c=pressAdjSSH2-pressAdjSSHRef, vmin=-rng, vmax=rng, cmap='RdBu_r')
plt.scatter(lonCell[idx], latCell[idx], s=size, c=pressAdjSSH2[idx]-pressAdjSSH[idx], vmin=-rng, vmax=rng, cmap='RdBu_r')
ax.axis('equal'); plt.axis('off')
plt.colorbar(shrink=.3)
plt.title('SSH diff (m)')
plt.show()