def calc_wqv(ncFileName, dt):
print(ncFileName)
out = {}
for model in models:
print('\t' + model)
srcNCPath = inpPath + model + '/zlev/' + ncFileName
ncf = ncField.ncField('QV', srcNCPath, ssI)
ncf.loadValues()
qv = ncf.vals[0, 20, :, :]
WQVncf = ncf.copy()
WQVncf.fieldName = var
#ncf = ncField.ncField('RHO', srcNCPath, ssI)
#ncf.loadValues()
#rho = ncf.vals
ncf = ncField.ncField('W', srcNCPath, ssI)
ncf.loadValues()
w = ncf.vals[0, 20, :, :]
wqv = w * qv
wqv = wqv.mean()
#wqv = rho*w*qv
#WQVncf.vals = wqv
#WQVncf.addVarToExistingNC(srcNCPath)
out[model] = wqv
out['time'] = dt
return (out)
def calc_cw(ncFileName):
print(ncFileName)
for model in models:
srcNCPath = inpPath + model + '/zlev/' + ncFileName
l_already_done = False
try:
fqvfield = ncField.ncField(var, srcNCPath, ssI)
l_already_done = True
except:
pass
if not l_already_done:
NCF = ncField.ncField('QC', srcNCPath, ssI)
NCF.loadValues()
qc = NCF.vals
NCF = ncField.ncField('QI', srcNCPath, ssI)
NCF.loadValues()
qi = NCF.vals
cw = qc + qi
CWncf = NCF.copy()
CWncf.fieldName = 'CW'
CWncf.vals = cw
CWncf.addVarToExistingNC(srcNCPath)
def calc_bulk(tCount, VOL, Atot):
ncFileName = 'lffd{0:%Y%m%d%H}z.nc'.format(dts[tCount].astype(datetime))
if tCount % 24 == 0:
print('\t\t'+ncFileName)
#print('\t\t'+ncFileName)
srcNCPath = inpPath + res + mode + '/' + ncFileName
RHOncf = ncField.ncField('RHO', srcNCPath, ssI[res])
RHOncf.loadValues()
rho = RHOncf.vals
result = {}
# CALCULATE TENDENCIES
#Mtot = np.nansum(rho*100*A)
MASS = rho * VOL
for var in vars:
NCF = ncField.ncField(var, srcNCPath, ssI[res])
NCF.loadValues()
vals = NCF.vals
if i_variables == 'QV':
# unit is domain average mm/h precipitation
result[var] = np.sum(MASS*vals*3600)/Atot
#print(out[var][tCount])
else:
raise NotImplementedError()
#out[var][tCount] = np.nansum(vals*rho*100*A)/Mtot
return(result)
def calc_horflux(ncFileName):
print(ncFileName)
for res in ress:
for mode in modes:
#print('\t'+res+mode)
srcNCPath = inpPath + res + mode + '/' + ncFileName
################################## AQVT
l_already_done = False
try:
field = ncField.ncField('AQVT_HADV', srcNCPath, ssI)
l_already_done = True
except:
pass
if not l_already_done:
QV_ADVncf = ncField.ncField('AQVT_ADV', srcNCPath, ssI[res])
QV_ADVncf.loadValues()
qv_adv = QV_ADVncf.vals
QV_ZADVncf = ncField.ncField('AQVT_ZADV', srcNCPath, ssI[res])
QV_ZADVncf.loadValues()
qv_zadv = QV_ZADVncf.vals
qv_hadv = qv_adv - qv_zadv
QV_HADVncf = QV_ADVncf.copy()
QV_HADVncf.fieldName = 'AQVT_HADV'
QV_HADVncf.vals = qv_hadv
QV_HADVncf.addVarToExistingNC(srcNCPath)
def calc_rho(ncFileName):
print(ncFileName)
for res in ress:
for mode in modes:
#print('\t'+res+mode)
srcNCPath = inpPath + res + mode + '/' + ncFileName
l_already_done = False
try:
rhofield = ncField.ncField('RHO', srcNCPath, ssI)
l_already_done = True
except:
pass
if not l_already_done:
QCncf = ncField.ncField('QC', srcNCPath, ssI)
QCncf.loadValues()
qc = QCncf.vals
QRncf = ncField.ncField('QR', srcNCPath, ssI)
QRncf.loadValues()
qr = QRncf.vals
QIncf = ncField.ncField('QI', srcNCPath, ssI)
QIncf.loadValues()
qi = QIncf.vals
QSncf = ncField.ncField('QS', srcNCPath, ssI)
QSncf.loadValues()
qs = QSncf.vals
QGncf = ncField.ncField('QG', srcNCPath, ssI)
QGncf.loadValues()
qg = QGncf.vals
hydrotot = qc + qr + qi + qs + qg
QVncf = ncField.ncField('QV', srcNCPath, ssI)
QVncf.loadValues()
qv = QVncf.vals
Tncf = ncField.ncField('T', srcNCPath, ssI)
Tncf.loadValues()
T = Tncf.vals
Pncf = ncField.ncField('P', srcNCPath, ssI)
Pncf.loadValues()
P = Pncf.vals
tempFactor = qv*0.622 + 1 - hydrotot
Tdens = T*tempFactor
Rd = 287.1
RHO = P/(Tdens*Rd)
RHOncf = QVncf.copy()
RHOncf.fieldName = 'RHO'
RHOncf.vals = RHO
RHOncf.addVarToExistingNC(srcNCPath)
def calc_fqv(ncFileName):
print(ncFileName)
for res in ress:
for mode in modes:
print('\t'+res+mode)
srcNCPath = inpPath + res + mode + '/' + ncFileName
l_already_done = False
try:
fqvfield = ncField.ncField(var, srcNCPath, ssI)
l_already_done = True
except:
pass
if not l_already_done:
ncf = ncField.ncField('QV', srcNCPath, ssI)
ncf.loadValues()
qv = ncf.vals
FQVncf = ncf.copy()
FQVncf.fieldName = var
ncf = ncField.ncField('RHO', srcNCPath, ssI)
ncf.loadValues()
rho = ncf.vals
if (var == 'FQV') or (var == 'FQVx'):
ncf = ncField.ncField('U', srcNCPath, ssI)
ncf.loadValues()
u = ncf.vals
if (var == 'FQV') or (var == 'FQVy'):
ncf = ncField.ncField('V', srcNCPath, ssI)
ncf.loadValues()
v = ncf.vals
if (var == 'FQV'):
uv = np.sqrt(np.power(u,2) + np.power(v,2))
fqv = rho*uv*qv
elif (var == 'FQVx'):
fqv = rho*u*qv
elif (var == 'FQVy'):
fqv = rho*v*qv
FQVncf.vals = fqv
FQVncf.addVarToExistingNC(srcNCPath)
A = np.power(dx, 2)
for mode in modes:
print('###### ' + res + mode + ' ######')
out[res + mode] = np.full(len(out['time']), np.nan)
for tCount in range(0, len(dts)):
ncFileName = 'lffd{0:%Y%m%d%H}z.nc'.format(
dts[tCount].astype(datetime))
if tCount % 24 == 0:
print('\t\t' + ncFileName)
#print('\t\t'+ncFileName)
srcNCPath = inpPath + res + mode + '/' + ncFileName
RHOncf = ncField.ncField('RHO', srcNCPath, ssI[res])
RHOncf.loadValues()
rho = RHOncf.vals
# CALCULATE VOL AV DENSITY WEIGHT
Mtot = np.nansum(rho * dz * A)
NCF = ncField.ncField(fieldName[1:], srcNCPath, ssI[res])
NCF.loadValues()
vals = NCF.vals
out[res + mode][tCount] = np.nansum(vals * rho * dz * A) / Mtot
out['units'] = NCF.units
name = fieldName
saveObj(out, folder, name)
# Altitude arrays
altI = np.asarray(altInds)
alts = np.asarray(altInds)
alts[altI <= 60] = altI[altI <= 60] * 100
alts[altI > 60] = (altI[altI > 60] - 60) * 1000 + 6000
#altsu = np.nan
#dt0 = datetime(2006,7,12,0)
#dt1 = datetime(2006,7,12,1)
#dts = np.arange(dt0,dt1,timedelta(hours=1))
inpPath = '../01_rawData/topocut/'
res = '4.4'
mode = ''
srcNCPath = inpPath + res + mode + '/' + 'lffd2006071508z.nc'
RHOncf = ncField.ncField('RHO', srcNCPath, ssI[res])
RHOncf.loadValues()
rho = RHOncf.vals.squeeze()
Wncf = ncField.ncField('W', srcNCPath, ssI[res])
Wncf.loadValues()
w = Wncf.vals.squeeze()
QVncf = ncField.ncField('QV', srcNCPath, ssI[res])
QVncf.loadValues()
qv = QVncf.vals.squeeze()
AQVT_ZADVncf = ncField.ncField('AQVT_ZADV', srcNCPath, ssI[res])
AQVT_ZADVncf.loadValues()
aqvtz = AQVT_ZADVncf.vals.squeeze()
dA = np.power(4400, 2)
dz = 100
dV = dz * dA
for tCount in range(0, len(dts)):
ncFileName = 'lffd{0:%Y%m%d%H}z.nc'.format(
dts[tCount].astype(datetime))
if tCount % 1 == 0:
print('\t\t' + ncFileName)
calc_src_path = inpPath + mode + res + '/calc/'
#RHOncf = ncField.ncField('RHO', srcNCPath, ssI[res])
#RHOncf.loadValues()
#rho = RHOncf.vals
#rhou = unstaggerZ_4D(rho)
if i_wall in ['E', 'W']:
ncf = ncField.ncField(
'FQVX', os.path.join(calc_src_path, 'FQVX',
ncFileName), ssI[res])
elif i_wall in ['S', 'N']:
ncf = ncField.ncField(
'FQVY', os.path.join(calc_src_path, 'FQVY',
ncFileName), ssI[res])
elif i_wall in ['bottom', 'top']:
ncf = ncField.ncField(
'FQVZ', os.path.join(calc_src_path, 'FQVZ',
ncFileName), ssI[res])
ncf.loadValues()
if i_wall in ['E', 'W', 'S', 'N']:
flx = ncf.vals * dx * 100 * normVec
elif i_wall in ['bottom', 'top']:
flx = ncf.vals * dx**2 * normVec
dt0 = datetime(2006,7,11,0)
dt1 = datetime(2006,7,20,1)
#dt1 = datetime(2006,7,11,1)
dts = np.arange(dt0,dt1,timedelta(hours=1))
inpPath = '../01_rawData/topocut/'
for i in range(0,len(dts)):
ncFileName = 'lffd{0:%Y%m%d%H}z.nc'.format(dts[i].astype(datetime))
print(ncFileName)
for res in ress:
for mode in modes:
#print('\t'+res+mode)
srcNCPath = inpPath + res + mode + '/' + ncFileName
NCF = ncField.ncField('P', srcNCPath, ssI)
NCF.loadValues()
p = NCF.vals
NCF = ncField.ncField('T', srcNCPath, ssI)
NCF.loadValues()
t = NCF.vals
pott = t*(100000/p)**0.286
POTTncf = NCF.copy()
POTTncf.fieldName = 'POTT'
POTTncf.vals = pott
POTTncf.addVarToExistingNC(srcNCPath)
from ncClasses.subdomains import setSSI
import matplotlib.pyplot as plt
import numpy as np
os.chdir('00_newScripts/')
i_resolutions = 3
i_subdomain = 0
ssI, domainName = setSSI(i_subdomain, {})
inpPath = '../01_rawData/topocut/'
#inpPath = '../01_rawData/'
res = '4.4'
mode = ''
ncFileName = 'lffd2006071515z.nc'
#ncFileName = 'constantParams.nc'
#inpPath = '../02_fields/topocut/'
#res = '4.4'
#mode = ''
#ncFileName = 'zQV.nc'
srcNCPath = inpPath + res + mode + '/' + ncFileName
print(srcNCPath)
qc = ncField.ncField('QC', srcNCPath, ssI)
#qc.saveToNewNC('../uTest.nc')
qc.addVarToExistingNC('../uTest.nc')
#plt.contourf(qc.vals[0,10,:,:].squeeze())
#plt.colorbar()
#plt.show()
#dt0 = datetime(2006,7,15,15)
dt1 = datetime(2006,7,20,1)
#dt1 = datetime(2006,7,15,16)
dts = np.arange(dt0,dt1,timedelta(hours=1))
inpPath = '../01_rawData/topocut/'
for i in range(0,len(dts)):
ncFileName = 'lffd{0:%Y%m%d%H}z.nc'.format(dts[i].astype(datetime))
print(ncFileName)
for res in ress:
for mode in modes:
#print('\t'+res+mode)
srcNCPath = inpPath + res + mode + '/' + ncFileName
NCF = ncField.ncField('QR', srcNCPath, ssI)
NCF.loadValues()
qr = NCF.vals
NCF = ncField.ncField('QG', srcNCPath, ssI)
NCF.loadValues()
qg = NCF.vals
NCF = ncField.ncField('QS', srcNCPath, ssI)
NCF.loadValues()
qs = NCF.vals
pw = qr + qg + qs
PWncf = NCF.copy()
PWncf.fieldName = 'PW'
print(ncFileName)
out['times'].append(dts[i].astype(datetime))
for aI, alt_ind in enumerate(alt_inds):
for res in ress:
for mode in modes:
#print('\t'+res+mode)
srcNCPath = inpPath + res + mode + '/' + ncFileName
res_ssI = {}
res_ssI['altitude'] = [alt_ind]
for key in ['rlon', 'rlat']:
res_ssI[key] = ssI[res][key]
NCF = ncField.ncField('QC', srcNCPath, res_ssI)
NCF.loadValues()
qc = NCF.vals
NCF = ncField.ncField('QI', srcNCPath, res_ssI)
NCF.loadValues()
qi = NCF.vals
NCF = ncField.ncField('W', srcNCPath, res_ssI)
NCF.loadValues()
w = NCF.vals
NCF = ncField.ncField('RHO', srcNCPath, res_ssI)
NCF.loadValues()
rho = NCF.vals
dt0 = datetime(2006, 7, 11, 0)
#dt0 = datetime(2006,7,15,15)
dt1 = datetime(2006, 7, 20, 1)
#dt1 = datetime(2006,7,15,16)
dts = np.arange(dt0, dt1, timedelta(hours=1))
inpPath = '../01_rawData/topocut/'
for i in range(0, len(dts)):
ncFileName = 'lffd{0:%Y%m%d%H}z.nc'.format(dts[i].astype(datetime))
print(ncFileName)
for res in ress:
for mode in modes:
#print('\t'+res+mode)
srcNCPath = inpPath + res + mode + '/' + ncFileName
NCF = ncField.ncField('RHO', srcNCPath, ssI)
NCF.loadValues()
rho = NCF.vals
NCF = ncField.ncField('QV', srcNCPath, ssI)
NCF.loadValues()
qv = NCF.vals
wvm = rho * qv
WVMncf = NCF.copy()
WVMncf.fieldName = 'WV_mass'
WVMncf.vals = wvm
WVMncf.addVarToExistingNC(srcNCPath)
for var in vars:
out[var] = np.full(len(dts), np.nan)
out['Mtot'] = np.full(len(dts), np.nan)
out['time'] = dts
out['alts'] = alts
out['domainName'] = domainName
for tCount in range(0, len(dts)):
ncFileName = 'lffd{0:%Y%m%d%H}z.nc'.format(
dts[tCount].astype(datetime))
if tCount % 24 == 0:
print('\t\t' + ncFileName)
srcNCPath = inpPath + res + mode + '/' + ncFileName
RHOncf = ncField.ncField('RHO', srcNCPath, ssI[res])
RHOncf.loadValues()
rho = RHOncf.vals
rhou = unstaggerZ_4D(rho)
nt, nzs, ny, nx = rho.shape
# TOTAL MASS
Mtot = 0
for i in range(0, nx):
for j in range(0, ny):
Mtot = Mtot + np.nansum(rhou[0, :, j, i] * dz * A)
out['Mtot'][tCount] = Mtot
# CALCULATE TENDENCIES
for var in vars:
for hr in hours:
print(hr)
#hr = 12
dts = list()
for day in days:
dts.append(datetime(2006, 7, day, hr))
MFsum = 0
#MFsumSlab = 0
for dt in dts:
#print(dt)
ncFileName = 'lffd{0:%Y%m%d%H}z.nc'.format(dt)
srcNCPath = inpPath + res + mode + '/' + ncFileName
# LOAD RHO
RHOncf = ncField.ncField('RHO', srcNCPath, ssI[res])
RHOncf.loadValues()
rho = RHOncf.vals
#srcNCPath = inpPathNoTopocut + res + mode + '/' + ncFileName
NCF = ncField.ncField(var, srcNCPath, ssI[res])
NCF.loadValues()
vals = NCF.vals
MF = np.nansum(vals * rho * 100 * A)
#MF = np.nanmean(vals)
MFsum = MFsum + MF
#print(MF)
## slabs
#ncf = ncField.ncField('W', srcNCPath, ssI[res])
out = {}
out['Fqv'] = np.full(len(dts), np.nan)
out['time'] = dts
out['alts'] = alts
#out['altsu'] = altsu
out['domainName'] = domainName
for tCount in range(0, len(dts)):
ncFileName = 'lffd{0:%Y%m%d%H}z.nc'.format(
dts[tCount].astype(datetime))
if tCount % 24 == 0:
print('\t\t' + ncFileName)
srcNCPath = inpPath + res + mode + '/' + ncFileName
RHOncf = ncField.ncField('RHO', srcNCPath, ssI[res])
RHOncf.loadValues()
rho = RHOncf.vals
Wncf = ncField.ncField('W', srcNCPath, ssI[res])
Wncf.loadValues()
w = Wncf.vals
QVncf = ncField.ncField('QV', srcNCPath, ssI[res])
QVncf.loadValues()
qv = QVncf.vals
nt, nz, ny, nx = rho.shape
A = np.power(dx, 2)
Fqv = A * w * qv * rho
sumFqv = np.nansum(Fqv)
#print(sumFqv/1000)
dt0 = datetime(2006, 7, 11, 0)
dt1 = datetime(2006, 7, 20, 1)
dts = np.arange(dt0, dt1, timedelta(hours=1))
inpPath = '../01_rawData/topocut/'
for i in range(0, len(dts)):
ncFileName = 'lffd{0:%Y%m%d%H}z.nc'.format(dts[i].astype(datetime))
print(ncFileName)
for res in ress:
for mode in modes:
#print('\t'+res+mode)
srcNCPath = inpPath + res + mode + '/' + ncFileName
RHOncf = ncField.ncField('RHO', srcNCPath, ssI)
RHOncf.loadValues()
rho = RHOncf.vals
Uncf = ncField.ncField('U', srcNCPath, ssI)
Uncf.loadValues()
u = Uncf.vals
Vncf = ncField.ncField('V', srcNCPath, ssI)
Vncf.loadValues()
v = Vncf.vals
uv = np.sqrt(np.power(u, 2) + np.power(v, 2))
MFL = uv * rho
MFLncf = RHOncf.copy()
MFLncf.fieldName = 'MFL'
MFLncf.vals = MFL
dt0 = datetime(2006, 7, 20, 0)
dt1 = datetime(2006, 7, 20, 1)
dts = np.arange(dt0, dt1, timedelta(hours=1))
inpPath = '../01_rawData/topocut/'
for i in range(0, len(dts)):
ncFileName = 'lffd{0:%Y%m%d%H}z.nc'.format(dts[i].astype(datetime))
print(ncFileName)
for res in ress:
for mode in modes:
#print('\t'+res+mode)
srcNCPath = inpPath + res + mode + '/' + ncFileName
QVncf = ncField.ncField('QV', srcNCPath, ssI)
QVncf.loadValues()
Pncf = ncField.ncField('P', srcNCPath, ssI)
Pncf.loadValues()
Tncf = ncField.ncField('T', srcNCPath, ssI)
Tncf.loadValues()
RHncf = QVncf.copy()
RHncf.fieldName = 'RH'
qv = QVncf.vals
p = Pncf.vals
T = Tncf.vals
TC = T - 273.15
eps = 0.622
