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Radiation.pyx
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Radiation.pyx
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#!python
#cython: boundscheck=False
#cython: wraparound=True
#cython: initializedcheck=False
#cython: cdivision=True
#import pylab as plt
import numpy as np
cimport numpy as np
import netCDF4 as nc
from scipy.interpolate import pchip_interpolate
from libc.math cimport pow, cbrt, exp, fmin, fmax
# from thermodynamic_functions cimport cpm_c
include 'parameters.pxi'
from profiles import profile_data
cimport ReadProfiles
# cimport TimeStepping
# from NetCDFIO cimport NetCDFIO_Stats
# from mlm_thermodynamic_functions import *
# from mlm_thermodynamic_functions cimport *
import cPickle
import pickle as pkl
from cfsites_forcing_reader import cfreader
# Note: the RRTM modules are compiled in the 'RRTMG' directory:
cdef extern:
void c_rrtmg_lw_init(double *cpdair)
void c_mcica_subcol_lw (int *iplon, int *ncol, int *nlay, int *icld, int *permuteseed, int *irng,
double *play, double *cldfrac, double *ciwp, double *clwp, double *rei, double *rel, double *tauc,
double *cldfmcl, double *ciwpmcl, double *clwpmcl, double *reicmcl, double *relqmcl, double *taucmcl)
void c_rrtmg_lw (int *ncol ,int *nlay ,int *icld ,int *idrv ,
double *play ,double *plev ,double *tlay ,double *tlev ,double *tsfc ,
double *h2ovmr ,double *o3vmr ,double *co2vmr ,double *ch4vmr ,double *n2ovmr ,double *o2vmr,
double *cfc11vmr,double *cfc12vmr,double *cfc22vmr,double *ccl4vmr ,double *emis ,
int *inflglw ,int *iceflglw,int *liqflglw,double *cldfr ,
double *taucld ,double *cicewp ,double *cliqwp ,double *reice ,double *reliq ,
double *tauaer ,
double *uflx ,double *dflx ,double *hr ,double *uflxc ,double *dflxc, double *hrc,
double *duflx_dt,double *duflxc_dt)
void c_rrtmg_sw_init(double *cpdair)
void c_mcica_subcol_sw(int *iplon, int *ncol, int *nlay, int *icld, int *permuteseed, int *irng,
double *play, double *cldfrac, double *ciwp, double *clwp, double *rei, double *rel,
double *tauc, double *ssac, double *asmc, double *fsfc,
double *cldfmcl, double *ciwpmcl, double *clwpmcl, double *reicmcl, double *relqmcl,
double *taucmcl, double *ssacmcl, double *asmcmcl, double *fsfcmcl)
void c_rrtmg_sw (int *ncol ,int *nlay ,int *icld ,int *iaer ,
double *play ,double *plev ,double *tlay ,double *tlev ,double *tsfc ,
double *h2ovmr ,double *o3vmr ,double *co2vmr ,double *ch4vmr ,double *n2ovmr ,double *o2vmr,
double *asdir ,double *asdif ,double *aldir ,double *aldif ,
double *coszen ,double *adjes ,int *dyofyr ,double *scon ,
int *inflgsw ,int *iceflgsw,int *liqflgsw,double *cldfr ,
double *taucld ,double *ssacld ,double *asmcld ,double *fsfcld ,
double *cicewp ,double *cliqwp ,double *reice ,double *reliq ,
double *tauaer ,double *ssaaer ,double *asmaer ,double *ecaer ,
double *swuflx ,double *swdflx ,double *swhr ,double *swuflxc ,double *swdflxc ,double *swhrc)
cdef class Radiation:
def __init__(self, namelist):
# Required for surface energy budget calculations, can also be used for stats io
self.srf_lw_down = 0.0
self.srf_sw_down = 0.0
self.srf_lw_up = 0.0
self.srf_sw_down = 0.0
try:
self.profile_name = namelist['radiation']['profile_name']
except:
self.profile_name = 'cgils_ctl_s6'
try:
self.read_file = namelist['radiation']['read_file']
except:
self.read_file = False
if self.read_file:
self.file = str(namelist['radiation']['file'])
self.site = namelist['radiation']['site']
try:
self.n_buffer = namelist['radiation']['n_buffer']
except:
self.n_buffer = 4
try:
self.stretch_factor = namelist['radiation']['stretch_factor']
except:
self.stretch_factor = 1.0
try:
self.patch_pressure = namelist['radiation']['patch_pressure']
except:
self.patch_pressure = 1000.00*100.0
# Namelist options related to gas concentrations
try:
self.co2_factor = namelist['radiation']['co2_factor']
except:
self.co2_factor = 1.0
try:
self.h2o_factor = namelist['radiation']['h2o_factor']
except:
self.h2o_factor = 1.0
# Namelist options related to insolation
try:
self.dyofyr = namelist['radiation']['dyofyr']
except:
self.dyofyr = 0
try:
self.adjes = namelist['radiation']['adjes']
except:
print('Insolation adjustive factor not set so RadiationRRTM takes default value: adjes = 0.5 (12 hour of daylight).')
self.adjes = 0.5
try:
self.scon = namelist['radiation']['solar_constant']
except:
print('Solar Constant not set so RadiationRRTM takes default value: scon = 1360.0 .')
self.scon = 1360.0
try:
self.toa_sw = namelist['radiation']['toa_sw']
except:
print('TOA shortwave not set so RadiationRRTM takes default value: toa_sw = 420.0 .')
self.toa_sw = 420.0
if self.read_file:
rdr = cfreader(self.file, self.site)
self.toa_sw = rdr.get_timeseries_mean('swdn_toa')
try:
self.coszen = namelist['radiation']['coszen']
except:
if (self.toa_sw > 0.0):
self.coszen = self.toa_sw / self.scon
else:
print('Mean Daytime cos(SZA) not set so RadiationRRTM takes default value: coszen = 2.0/pi .')
self.coszen = 2.0/pi
try:
self.adif = namelist['radiation']['adif']
except:
print('Surface diffusive albedo not set so RadiationRRTM takes default value: adif = 0.06 .')
self.adif = 0.06
try:
self.adir = namelist['radiation']['adir']
except:
if (self.coszen > 0.0):
self.adir = (.026/(self.coszen**1.7+.065) + (.15*(self.coszen-0.10)*(self.coszen-0.50)*(self.coszen-1.00)))
else:
self.adir = 0.0
print('Surface direct albedo not set so RadiationRRTM computes value: adif = %5.4f .'%(self.adir))
try:
self.uniform_reliq = namelist['radiation']['uniform_reliq']
except:
print('uniform_reliq not set so RadiationRRTM takes default value: uniform_reliq = False.')
self.uniform_reliq = False
try:
self.radiation_frequency = namelist['radiation']['frequency']
except:
print('radiation_frequency not set so RadiationRRTM takes default value: radiation_frequency = 0.0 (compute at every step).')
self.radiation_frequency = 60.0
self.next_radiation_calculate = 0.0
try:
self.IsdacCC_dT = namelist['initial']['dSST'] + namelist['initial']['dTi'] - 5.0
print('IsdacCC case: RRTM profiles are shifted according to %2.2f temperature change.'%(self.IsdacCC_dT))
except:
self.IsdacCC_dT = 0.0
# self.bl = ReadProfiles.boundary_layer_profiles(namelist)
#self.out_file = str(namelist['output']['file'])
return
cpdef initialize(self, ReadProfiles.ReadProfiles pf):
self.heating_rate = np.zeros((pf.nz,), dtype=np.double)
self.net_lw_flux = np.zeros((pf.nz,), dtype=np.double)
# NS.add_profile('net_lw_flux')
# NS.add_profile('radiative_heating_rate')
return
cpdef initialize_profiles(self, ReadProfiles.ReadProfiles pf):
cdef:
# Py_ssize_t qv_shift = DV.get_varshift(Gr, 'qv')
# Py_ssize_t t_shift = DV.get_varshift(Gr, 'temperature')
# double [:,:] qv_pencils = self.z_pencil.forward_double(&Gr.dims, Pa, &DV.values[qv_shift])
# double [:,:] t_pencils = self.z_pencil.forward_double(&Gr.dims, Pa, &DV.values[t_shift])
Py_ssize_t nz = pf.nz
Py_ssize_t i,k
# pf.get_profiles(mlm_vars)
# Construct the extension of the profiles, including a blending region between the given profile and LES domain (if desired)
if self.read_file:
rdr = cfreader(self.file, self.site)
pressures = rdr.get_profile_mean('pfull')
temperatures = rdr.get_profile_mean('temp')
vapor_mixing_ratios = rdr.get_profile_mean('sphum')
else:
pressures = profile_data[self.profile_name]['pressure'][:]
temperatures = profile_data[self.profile_name]['temperature'][:]
vapor_mixing_ratios = profile_data[self.profile_name]['vapor_mixing_ratio'][:]
#specific_humidity = profile_data[self.profile_name]['specific_humidity'][:]
dp = np.abs(pf.pressure[-1] - pf.pressure[-2])
self.patch_pressure = np.minimum(self.patch_pressure, pf.pressure[-1] - dp)
# n_profile = len(pressures[pressures<=self.patch_pressure]) # nprofile = # of points in the fixed profile to use
n_profile = 0
for pressure in pressures:
if pressure <= self.patch_pressure:
n_profile += 1
# print(n_profile)
self.n_ext = n_profile + self.n_buffer # n_ext = total # of points to add to LES domain (buffer portion + fixed profile portion)
# Create the space for the extensions (to be tacked on to top of LES pencils)
# we declare these as class members in case we want to modify the buffer zone during run time
# i.e. if there is some drift to top of LES profiles
self.p_ext = np.zeros((self.n_ext,),dtype=np.double)
self.t_ext = np.zeros((self.n_ext,),dtype=np.double)
self.rv_ext = np.zeros((self.n_ext,),dtype=np.double)
cdef Py_ssize_t count = 0
for k in xrange(len(pressures)-n_profile, len(pressures)):
self.p_ext[self.n_buffer+count] = pressures[k]
#qt_new = specific_humidity[k]
self.t_ext[self.n_buffer+count] = temperatures[k]
#self.rv_ext[self.n_buffer+count] = qt_new / (1.0 - qt_new)
self.rv_ext[self.n_buffer+count] = vapor_mixing_ratios[k]
count += 1
# Now create the buffer zone
if self.n_buffer > 0:
#dp = np.abs(Ref.p0_half_global[nz + gw -1] - Ref.p0_half_global[nz + gw -2])
dp = np.abs(pf.pressure[-1] - pf.pressure[-2])
#self.p_ext[0] = Ref.p0_half_global[nz + gw -1] - dp
self.p_ext[0] = pf.pressure[-1] - dp
# print(self.p_ext[0])
for i in range(1,self.n_buffer):
self.p_ext[i] = self.p_ext[i-1] - (i+1.0)**self.stretch_factor * dp
# for i in xrange(self.n_ext):
# print i, self.p_ext[i]
# Pressures of "data" points for interpolation, must be INCREASING pressure
xi = np.array([self.p_ext[self.n_buffer+1],self.p_ext[self.n_buffer],pf.pressure[-1],pf.pressure[-2] ],dtype=np.double)
print(xi)
# interpolation for temperature
ti = np.array([self.t_ext[self.n_buffer+1],self.t_ext[self.n_buffer], pf.temperature[-1], pf.temperature[-2] ], dtype = np.double)
# interpolation for vapor mixing ratio
# rv_m2 = qv_pencils[0, nz-2]/ (1.0 - qv_pencils[0, nz-2])
# rv_m1 = qv_pencils[0,nz-1]/(1.0-qv_pencils[0,nz-1])
rv_m2 = pf.qv[nz-2]/(1.0 - pf.qv[nz-2])
rv_m1 = pf.qv[nz-1]/(1.0 - pf.qv[nz-1])
ri = np.array([self.rv_ext[self.n_buffer+1],self.rv_ext[self.n_buffer], rv_m1, rv_m2 ], dtype = np.double)
for i in xrange(self.n_buffer):
self.rv_ext[i] = pchip_interpolate(xi, ri, self.p_ext[i] )
self.t_ext[i] = pchip_interpolate(xi, ti, self.p_ext[i])
# # Plotting to evaluate implementation of buffer zone
# plt.figure(1)
# plt.scatter(self.rv_ext,self.p_ext, label='Ext')
# plt.plot(specific_humidity, pressures, label='Profile.py')
# plt.plot(pf.qv, pf.pressure, label='LES')
# plt.legend()
# # plt.savefig('rrtm_buffer_rv.png')
# plt.figure(2)
# plt.scatter(self.t_ext,self.p_ext, label='Ext')
# plt.plot(temperatures,pressures, label='Profile.py')
# plt.plot(pf.temperature, pf.pressure, label='LES')
# plt.legend()
# # plt.savefig('rrtm_buffer_t.png')
# plt.figure(10)
# plt.plot(pf.ql, pf.pressure)
# plt.show()
self.p_full = np.zeros((self.n_ext+nz,), dtype=np.double)
self.pi_full = np.zeros((self.n_ext+1+nz,),dtype=np.double)
self.p_full[0:nz] = pf.pressure #Ref.p0_half_global[gw:nz+gw] # at cell center
self.p_full[nz:]=self.p_ext[:]
# print('p_ext ', np.array(self.p_ext))
# self.pi_full[0:nz] = Ref.p0_global[gw:nz+gw] # at cell interface
# self.pi_full[0:nz] = pf.pressure_i[1:]
self.pi_full[0:nz] = pf.pressure_i[:-1]
# print('pi_full before all filled:', np.array(self.pi_full))
# print('pf.pressure_i:', np.array(pf.pressure_i))
for i in range(nz,self.n_ext+nz):
self.pi_full[i] = (self.p_full[i] + self.p_full[i-1]) * 0.5
self.pi_full[self.n_ext + nz] = 2.0 * self.p_full[self.n_ext + nz -1 ] - self.pi_full[self.n_ext + nz -1]
# print('pi_full:', np.array(self.pi_full))
# print('p_full:', np.array(self.p_full))
# try to get ozone
try:
o3_trace = profile_data[self.profile_name]['o3_vmr'][:] # O3 VMR (from SRF to TOP)
o3_pressure = profile_data[self.profile_name]['pressure'][:]/100.0 # Pressure (from SRF to TOP) in hPa
# can't do simple interpolation... Need to conserve column path !!!
use_o3in = True
except:
try:
o3_trace = profile_data[self.profile_name]['o3_mr'][:]*28.97/47.9982 # O3 MR converted to VMR
o3_pressure = profile_data[self.profile_name]['pressure'][:]/100.0 # Pressure (from SRF to TOP) in hPa
# can't do simple interpolation... Need to conserve column path !!!
use_o3in = True
except:
print('O3 profile not set so default RRTM profile will be used.')
use_o3in = False
#Initialize rrtmg_lw and rrtmg_sw
cdef double cpdair = np.float64(cpd)
c_rrtmg_lw_init(&cpdair)
c_rrtmg_sw_init(&cpdair)
# Read in trace gas data
lw_input_file = './RRTMG/lw/data/rrtmg_lw.nc'
lw_gas = nc.Dataset(lw_input_file, "r")
lw_pressure = np.asarray(lw_gas.variables['Pressure'])
lw_absorber = np.asarray(lw_gas.variables['AbsorberAmountMLS'])
lw_absorber = np.where(lw_absorber>2.0, np.zeros_like(lw_absorber), lw_absorber)
lw_ngas = lw_absorber.shape[1]
lw_np = lw_absorber.shape[0]
# 9 Gases: O3, CO2, CH4, N2O, O2, CFC11, CFC12, CFC22, CCL4
# From rad_driver.f90, lines 546 to 552
trace = np.zeros((9,lw_np),dtype=np.double,order='F')
for i in xrange(lw_ngas):
gas_name = ''.join(lw_gas.variables['AbsorberNames'][i,:])
if 'O3' in gas_name:
trace[0,:] = lw_absorber[:,i].reshape(1,lw_np)
elif 'CO2' in gas_name:
trace[1,:] = lw_absorber[:,i].reshape(1,lw_np)*self.co2_factor
elif 'CH4' in gas_name:
trace[2,:] = lw_absorber[:,i].reshape(1,lw_np)
elif 'N2O' in gas_name:
trace[3,:] = lw_absorber[:,i].reshape(1,lw_np)
elif 'O2' in gas_name:
trace[4,:] = lw_absorber[:,i].reshape(1,lw_np)
elif 'CFC11' in gas_name:
trace[5,:] = lw_absorber[:,i].reshape(1,lw_np)
elif 'CFC12' in gas_name:
trace[6,:] = lw_absorber[:,i].reshape(1,lw_np)
elif 'CFC22' in gas_name:
trace[7,:] = lw_absorber[:,i].reshape(1,lw_np)
elif 'CCL4' in gas_name:
trace[8,:] = lw_absorber[:,i].reshape(1,lw_np)
# From rad_driver.f90, lines 585 to 620
trpath = np.zeros((nz + self.n_ext + 1, 9),dtype=np.double,order='F')
# plev = self.pi_full[:]/100.0
for i in xrange(1, nz + self.n_ext + 1):
trpath[i,:] = trpath[i-1,:]
if (self.pi_full[i-1]/100.0 > lw_pressure[0]):
trpath[i,:] = trpath[i,:] + (self.pi_full[i-1]/100.0 - np.max((self.pi_full[i]/100.0,lw_pressure[0])))/g*trace[:,0]
for m in xrange(1,lw_np):
#print i, m
plow = np.min((self.pi_full[i-1]/100.0,np.max((self.pi_full[i]/100.0, lw_pressure[m-1]))))
pupp = np.min((self.pi_full[i-1]/100.0,np.max((self.pi_full[i]/100.0, lw_pressure[m]))))
if (plow > pupp):
pmid = 0.5*(plow+pupp)
wgtlow = (pmid-lw_pressure[m])/(lw_pressure[m-1]-lw_pressure[m])
wgtupp = (lw_pressure[m-1]-pmid)/(lw_pressure[m-1]-lw_pressure[m])
trpath[i,:] = trpath[i,:] + (plow-pupp)/g*(wgtlow*trace[:,m-1] + wgtupp*trace[:,m])
if (self.pi_full[i]/100.0 < lw_pressure[lw_np-1]):
trpath[i,:] = trpath[i,:] + (np.min((self.pi_full[i-1]/100.0,lw_pressure[lw_np-1]))-self.pi_full[i]/100.0)/g*trace[:,lw_np-1]
tmpTrace = np.zeros((nz + self.n_ext,9),dtype=np.double,order='F')
for i in xrange(9):
for k in xrange(nz + self.n_ext):
tmpTrace[k,i] = g*100.0/(self.pi_full[k]-self.pi_full[k+1])*(trpath[k+1,i]-trpath[k,i])
if use_o3in == False:
self.o3vmr = np.array(tmpTrace[:,0],dtype=np.double, order='F')
else:
# o3_trace, o3_pressure
trpath_o3 = np.zeros(nz + self.n_ext+1, dtype=np.double, order='F')
# plev = self.pi_full/100.0
o3_np = o3_trace.shape[0]
for i in xrange(1, nz + self.n_ext+1):
trpath_o3[i] = trpath_o3[i-1]
if (self.pi_full[i-1]/100.0 > o3_pressure[0]):
trpath_o3[i] = trpath_o3[i] + (self.pi_full[i-1]/100.0 - np.max((self.pi_full[i]/100.0,o3_pressure[0])))/g*o3_trace[0]
for m in xrange(1,o3_np):
#print i, m
plow = np.min((self.pi_full[i-1]/100.0,np.max((self.pi_full[i]/100.0, o3_pressure[m-1]))))
pupp = np.min((self.pi_full[i-1]/100.0,np.max((self.pi_full[i]/100.0, o3_pressure[m]))))
if (plow > pupp):
pmid = 0.5*(plow+pupp)
wgtlow = (pmid-o3_pressure[m])/(o3_pressure[m-1]-o3_pressure[m])
wgtupp = (o3_pressure[m-1]-pmid)/(o3_pressure[m-1]-o3_pressure[m])
trpath_o3[i] = trpath_o3[i] + (plow-pupp)/g*(wgtlow*o3_trace[m-1] + wgtupp*o3_trace[m])
if (self.pi_full[i]/100.0 < o3_pressure[o3_np-1]):
trpath_o3[i] = trpath_o3[i] + (np.min((self.pi_full[i-1]/100.0,o3_pressure[o3_np-1]))-self.pi_full[i]/100.0)/g*o3_trace[o3_np-1]
tmpTrace_o3 = np.zeros( nz + self.n_ext, dtype=np.double, order='F')
for k in xrange(nz + self.n_ext):
tmpTrace_o3[k] = g *100.0/(self.pi_full[k]-self.pi_full[k+1])*(trpath_o3[k+1]-trpath_o3[k])
self.o3vmr = np.array(tmpTrace_o3[:],dtype=np.double, order='F')
self.co2vmr = np.array(tmpTrace[:,1],dtype=np.double, order='F')
self.ch4vmr = np.array(tmpTrace[:,2],dtype=np.double, order='F')
self.n2ovmr = np.array(tmpTrace[:,3],dtype=np.double, order='F')
self.o2vmr = np.array(tmpTrace[:,4],dtype=np.double, order='F')
self.cfc11vmr = np.array(tmpTrace[:,5],dtype=np.double, order='F')
self.cfc12vmr = np.array(tmpTrace[:,6],dtype=np.double, order='F')
self.cfc22vmr = np.array( tmpTrace[:,7],dtype=np.double, order='F')
self.ccl4vmr = np.array(tmpTrace[:,8],dtype=np.double, order='F')
#Initialize NetCDF4 for RRTM outputs
root_grp = nc.Dataset(pf.out_file, 'w', format='NETCDF4')
root_grp.createDimension('z', len(self.pi_full))
root_grp.createDimension('t', None)
pi_full = root_grp.createVariable('pi_full', 'f8', ('z'))
pi_full[:] = np.array(self.pi_full)
root_grp.createVariable('t', 'f8', ('t'))
root_grp.createVariable('uflx_lw', 'f8', ('t', 'z'))
root_grp.createVariable('uflxc_lw', 'f8', ('t', 'z'))
root_grp.createVariable('dflx_lw', 'f8', ('t', 'z'))
root_grp.createVariable('dflxc_lw', 'f8', ('t', 'z'))
root_grp.createVariable('uflx_sw', 'f8', ('t', 'z'))
root_grp.createVariable('uflxc_sw', 'f8', ('t', 'z'))
root_grp.createVariable('dflx_sw', 'f8', ('t', 'z'))
root_grp.createVariable('dflxc_sw', 'f8', ('t', 'z'))
root_grp.close()
return
cpdef update(self, ReadProfiles.ReadProfiles pf):
# if TS.rk_step == 0:
# if self.radiation_frequency <= 0.0:
# self.update_RRTM(pf)
# elif TS.t >= self.next_radiation_calculate:
# self.update_RRTM(pf)
# self.next_radiation_calculate = (TS.t//self.radiation_frequency + 1.0) * self.radiation_frequency
self.update_RRTM(pf)
return
cdef update_RRTM(self, ReadProfiles.ReadProfiles pf):
#self.coszen = pf.toa_sw/self.scon
#self.adir = pf.albedo
cdef:
Py_ssize_t nz = pf.nz
Py_ssize_t nz_full = self.n_ext + nz
Py_ssize_t k
Py_ssize_t n_pencils = 1
Py_ssize_t ngptlw = 140
Py_ssize_t ngptsw = 112
cdef:
double [:] rl_full = np.zeros((nz_full,), dtype=np.double, order='F')
double [:] ri_full = np.zeros((nz_full,), dtype=np.double, order='F')
double [:] play_in = np.zeros((nz_full,), dtype=np.double, order='F')
double [:] plev_in = np.zeros((nz_full + 1), dtype=np.double, order='F')
double [:] tlay_in = np.zeros((nz_full,), dtype=np.double, order='F')
double [:] tlev_in = np.zeros((nz_full + 1), dtype=np.double, order='F')
double [:] tsfc_in = np.ones((n_pencils),dtype=np.double,order='F') * pf.t_surface
double [:] h2ovmr_in = np.zeros((nz_full,),dtype=np.double,order='F')
double [:] o3vmr_in = np.zeros((nz_full,),dtype=np.double,order='F')
double [:] co2vmr_in = np.zeros((nz_full,),dtype=np.double,order='F')
double [:] ch4vmr_in = np.zeros((nz_full,),dtype=np.double,order='F')
double [:] n2ovmr_in = np.zeros((nz_full,),dtype=np.double,order='F')
double [:] o2vmr_in = np.zeros((nz_full,),dtype=np.double,order='F')
double [:] cfc11vmr_in = np.zeros((nz_full,),dtype=np.double,order='F')
double [:] cfc12vmr_in = np.zeros((nz_full,),dtype=np.double,order='F')
double [:] cfc22vmr_in = np.zeros((nz_full,),dtype=np.double,order='F')
double [:] ccl4vmr_in = np.zeros((nz_full,),dtype=np.double,order='F')
double [:,:] emis_in = np.ones((n_pencils,16),dtype=np.double,order='F') * 0.95
double [:] cldfr_raw = np.zeros((nz_full,),dtype=np.double,order='F')
double [:,:] cldfr_lw_in = np.zeros((ngptlw,nz_full,),dtype=np.double,order='F')
double [:,:] cldfr_sw_in = np.zeros((ngptsw,nz_full,),dtype=np.double,order='F')
double [:] cicewp_raw = np.zeros((nz_full,),dtype=np.double,order='F')
double [:,:] cicewp_lw_in = np.zeros((ngptlw,nz_full,),dtype=np.double,order='F')
double [:,:] cicewp_sw_in = np.zeros((ngptsw,nz_full,),dtype=np.double,order='F')
double [:] cliqwp_raw = np.zeros((nz_full,),dtype=np.double,order='F')
double [:,:] cliqwp_lw_in = np.zeros((ngptlw,nz_full,),dtype=np.double,order='F')
double [:,:] cliqwp_sw_in = np.zeros((ngptsw,nz_full,),dtype=np.double,order='F')
double [:] reice_raw = np.zeros((nz_full,),dtype=np.double,order='F')
double [:] reice_lw_in = np.zeros((nz_full,),dtype=np.double,order='F')
double [:] reice_sw_in = np.zeros((nz_full,),dtype=np.double,order='F')
double [:] reliq_raw = np.zeros((nz_full,),dtype=np.double,order='F')
double [:] reliq_lw_in = np.zeros((nz_full,),dtype=np.double,order='F')
double [:] reliq_sw_in = np.zeros((nz_full,),dtype=np.double,order='F')
double [:] coszen_in = np.ones((n_pencils),dtype=np.double,order='F') *self.coszen
double [:] asdir_in = np.ones((n_pencils),dtype=np.double,order='F') * self.adir
double [:] asdif_in = np.ones((n_pencils),dtype=np.double,order='F') * self.adif
double [:] aldir_in = np.ones((n_pencils),dtype=np.double,order='F') * self.adir
double [:] aldif_in = np.ones((n_pencils),dtype=np.double,order='F') * self.adif
double [:,:] taucld_lw_raw = np.zeros((ngptlw,nz_full,),dtype=np.double,order='F')
double [:,:] taucld_lw_in = np.zeros((ngptlw,nz_full,),dtype=np.double,order='F')
double [:,:] tauaer_lw_in = np.zeros((nz_full,16),dtype=np.double,order='F')
double [:,:] taucld_sw_raw = np.zeros((ngptsw,nz_full,),dtype=np.double,order='F')
double [:,:] taucld_sw_in = np.zeros((ngptsw,nz_full,),dtype=np.double,order='F')
double [:,:] ssacld_sw_raw = np.zeros((ngptsw,nz_full,),dtype=np.double,order='F')
double [:,:] ssacld_sw_in = np.zeros((ngptsw,nz_full,),dtype=np.double,order='F')
double [:,:] asmcld_sw_raw = np.zeros((ngptsw,nz_full,),dtype=np.double,order='F')
double [:,:] asmcld_sw_in = np.zeros((ngptsw,nz_full,),dtype=np.double,order='F')
double [:,:] fsfcld_sw_raw = np.zeros((ngptsw,nz_full,),dtype=np.double,order='F')
double [:,:] fsfcld_sw_in = np.zeros((ngptsw,nz_full,),dtype=np.double,order='F')
double [:,:] tauaer_sw_in = np.zeros((nz_full,14),dtype=np.double,order='F')
double [:,:] ssaaer_sw_in = np.zeros((nz_full,14),dtype=np.double,order='F')
double [:,:] asmaer_sw_in = np.zeros((nz_full,14),dtype=np.double,order='F')
double [:,:] ecaer_sw_in = np.zeros((nz_full,6),dtype=np.double,order='F')
# Output
double[:] uflx_lw_out = np.zeros((nz_full +1),dtype=np.double,order='F')
double[:] dflx_lw_out = np.zeros((nz_full +1),dtype=np.double,order='F')
double[:] hr_lw_out = np.zeros((nz_full,),dtype=np.double,order='F')
double[:] uflxc_lw_out = np.zeros((nz_full + 1),dtype=np.double,order='F')
double[:] dflxc_lw_out = np.zeros((nz_full +1),dtype=np.double,order='F')
double[:] hrc_lw_out = np.zeros((nz_full,),dtype=np.double,order='F')
double[:] duflx_dt_out = np.zeros((nz_full +1),dtype=np.double,order='F')
double[:] duflxc_dt_out = np.zeros((nz_full +1),dtype=np.double,order='F')
double[:] uflx_sw_out = np.zeros((nz_full +1),dtype=np.double,order='F')
double[:] dflx_sw_out = np.zeros((nz_full +1),dtype=np.double,order='F')
double[:] hr_sw_out = np.zeros((nz_full,),dtype=np.double,order='F')
double[:] uflxc_sw_out = np.zeros((nz_full +1),dtype=np.double,order='F')
double[:] dflxc_sw_out = np.zeros((nz_full +1),dtype=np.double,order='F')
double[:] hrc_sw_out = np.zeros((nz_full,),dtype=np.double,order='F')
double rv_to_reff = np.exp(np.log(1.2)**2.0)*10.0*1000.0
# with nogil:
for k in xrange(nz, nz_full):
tlay_in[k] = self.t_ext[k-nz]
h2ovmr_in[k] = self.rv_ext[k-nz] * Rv/Rd * self.h2o_factor
# Assuming for now that there is no condensate above LES domain!
for k in xrange(nz):
tlay_in[k] = pf.temperature[k]
h2ovmr_in[k] = pf.qv[k]/ (1.0 - pf.qv[k])* Rv/Rd * self.h2o_factor
rl_full[k] = (pf.ql[k])/ (1.0 - pf.qv[k])
ri_full[k] = (pf.qi[k])/ (1.0 - pf.qv[k])
#ri_full[k] = 0.0
cliqwp_raw[k] = ((pf.ql[k])/ (1.0 - pf.qv[k])
*1.0e3*(self.pi_full[k] - self.pi_full[k+1])/g)
cicewp_raw[k] = ((pf.qi[k])/ (1.0 - pf.qv[k])
*1.0e3*(self.pi_full[k] - self.pi_full[k+1])/g)
# if pf.ql[k] + pf.qi[k] > ql_threshold:
#if pf.ql[k] > ql_threshold:
# cldfr_in[k] = 1.0
cldfr_raw[k] = pf.cf[k]
with nogil:
for k in xrange(nz_full):
play_in[k] = self.p_full[k]/100.0
o3vmr_in[k] = self.o3vmr[k]
co2vmr_in[k] = self.co2vmr[k]
ch4vmr_in[k] = self.ch4vmr[k]
n2ovmr_in[k] = self.n2ovmr[k]
o2vmr_in [k] = self.o2vmr[k]
cfc11vmr_in[k] = self.cfc11vmr[k]
cfc12vmr_in[k] = self.cfc12vmr[k]
cfc22vmr_in[k] = self.cfc22vmr[k]
ccl4vmr_in[k] = self.ccl4vmr[k]
if self.uniform_reliq:
reliq_raw[k] = 14.0*pf.cf[k]
else:
reliq_raw[k] = ((3.0*self.p_full[k]/Rd/tlay_in[k]*rl_full[k]/
fmax(pf.cf[k],1.0e-6))/(4.0*pi*1.0e3*100.0))**(1.0/3.0)
reliq_raw[k] = fmin(fmax(reliq_raw[ k]*rv_to_reff, 2.5), 60.0)
# Boudala et al. (2002) Eqn 10a, this is dge (generalized effective size),
# and is what iceflglw=3 calls for. Will only work with iceflglw=iceflgsw=3!
reice_raw[k] = 53.005 * ((self.p_full[k]/Rd/tlay_in[k]*ri_full[k]*1.0e3)/
fmax(pf.cf[k],1.0e-6)) ** 0.06 \
* exp(0.013*(tlay_in[k] - 273.16))
reice_raw[k] = fmin(fmax(reice_raw[k], 5.0), 140.0) # Threshold from rrtmg sw instruction
with gil:
tlev_in[0] = pf.t_surface
plev_in[0] = self.pi_full[0]/100.0
for k in xrange(1,nz_full):
tlev_in[k] = 0.5*(tlay_in[k-1]+tlay_in[k])
plev_in[k] = self.pi_full[k]/100.0
tlev_in[nz_full] = 2.0*tlay_in[nz_full-1] - tlev_in[nz_full-1]
plev_in[nz_full] = self.pi_full[nz_full]/100.0
#========================================
# # Test whether RRTM works
# # Construct the extension of the profiles, including a blending region between the given profile and LES domain (if desired)
# pressures = profile_data[self.profile_name]['pressure'][::-1]
# temperatures = profile_data[self.profile_name]['temperature'][::-1]
# vapor_mixing_ratios = profile_data[self.profile_name]['vapor_mixing_ratio'][:]
# specific_humidity = profile_data[self.profile_name]['specific_humidity'][::-1]
#
# #Interpolate onto input grid
# tlay_in = pchip_interpolate(pressures, temperatures, play_in)
# h2ovmr_in = pchip_interpolate(pressures, vapor_mixing_ratios, play_in) * Rv/Rd * self.h2o_factor
#
# for k in xrange(nz_full):
# tlev_in[0] = pf.t_surface
# plev_in[0] = self.pi_full[0]/100.0
# for k in xrange(1,nz_full):
# tlev_in[k] = 0.5*(tlay_in[k-1]+tlay_in[k])
# plev_in[k] = self.pi_full[k]/100.0
# tlev_in[nz_full] = 2.0*tlay_in[nz_full-1] - tlev_in[nz_full-1]
# plev_in[nz_full] = self.pi_full[nz_full]/100.0
#========================================
# # Plot the variables to check
# plt.figure(3)
# plt.subplot(121)
# plt.plot(tlay_in, play_in, label='tlay')
# plt.plot(tlev_in, plev_in, label='tlev')
# plt.legend()
# plt.xlabel('tlay_in tlev_in')
# plt.subplot(122)
# plt.plot(h2ovmr_in, self.p_full)
# plt.xlabel('h2ovmr_in')
# plt.figure(4)
# plt.subplot(121)
# plt.plot(rl_full, self.p_full)
# plt.xlabel('rl_full')
# plt.subplot(122)
# plt.plot(cliqwp_in, self.p_full)
# plt.plot(cicewp_in, self.p_full)
# plt.xlabel('cliqwp_in & cicewp_in')
# plt.figure(5)
# plt.subplot(121)
# plt.plot(cldfr_in, self.p_full)
# plt.xlabel('cldfr_in')
# plt.subplot(122)
# plt.plot(reliq_in, self.p_full)
# plt.xlabel('reliq_in')
# plt.figure(6)
# plt.subplot(122)
# plt.plot(reice_in, self.p_full)
# plt.xlabel('reice_in')
# plt.show()
cdef:
int iplon = 1
int ncol = n_pencils
int nlay = nz_full
int icld = 1
int irng = 1
int seedlw = 1
int seedsw = 10000
int idrv = 0
int iaer = 0
int inflglw = 2
int iceflglw = 3
int liqflglw = 1
int inflgsw = 2
int iceflgsw = 3
int liqflgsw = 1
# print('Begin RRTM calculations!')
c_mcica_subcol_lw (&iplon, &ncol, &nlay, &icld, &seedlw, &irng,
&play_in[0], &cldfr_raw[0], &cicewp_raw[0], &cliqwp_raw[0], &reice_raw[0], &reliq_raw[0], &taucld_lw_raw[0,0],
&cldfr_lw_in[0,0], &cicewp_lw_in[0,0], &cliqwp_lw_in[0,0], &reice_lw_in[0], &reliq_lw_in[0], &taucld_lw_in[0,0])
c_rrtmg_lw (
&ncol ,&nlay ,&icld ,&idrv,
&play_in[0] ,&plev_in[0] ,&tlay_in[0] ,&tlev_in[0] ,&tsfc_in[0] ,
&h2ovmr_in[0] ,&o3vmr_in[0] ,&co2vmr_in[0] ,&ch4vmr_in[0] ,&n2ovmr_in[0] ,&o2vmr_in[0],
&cfc11vmr_in[0],&cfc12vmr_in[0],&cfc22vmr_in[0],&ccl4vmr_in[0] ,&emis_in[0,0] ,
&inflglw ,&iceflglw,&liqflglw,&cldfr_lw_in[0,0] ,
&taucld_lw_in[0,0] ,&cicewp_lw_in[0,0] ,&cliqwp_lw_in[0,0] ,&reice_lw_in[0] ,&reliq_lw_in[0] ,
&tauaer_lw_in[0,0] ,
&uflx_lw_out[0] ,&dflx_lw_out[0] ,&hr_lw_out[0] ,&uflxc_lw_out[0] ,&dflxc_lw_out[0], &hrc_lw_out[0],
&duflx_dt_out[0],&duflxc_dt_out[0] )
# print('Done RRTM LW!')
c_mcica_subcol_sw (&iplon, &ncol, &nlay, &icld, &seedsw, &irng,
&play_in[0], &cldfr_raw[0], &cicewp_raw[0], &cliqwp_raw[0], &reice_raw[0], &reliq_raw[0],
&taucld_sw_raw[0,0], &ssacld_sw_raw[0,0], &asmcld_sw_raw[0,0], &fsfcld_sw_raw[0,0],
&cldfr_sw_in[0,0], &cicewp_sw_in[0,0], &cliqwp_sw_in[0,0], &reice_sw_in[0], &reliq_sw_in[0],
&taucld_sw_in[0,0], &ssacld_sw_in[0,0], &asmcld_sw_in[0,0], &fsfcld_sw_in[0,0])
c_rrtmg_sw (
&ncol, &nlay, &icld, &iaer, &play_in[0], &plev_in[0], &tlay_in[0], &tlev_in[0],&tsfc_in[0],
&h2ovmr_in[0], &o3vmr_in[0], &co2vmr_in[0], &ch4vmr_in[0], &n2ovmr_in[0],&o2vmr_in[0],
&asdir_in[0] ,&asdif_in[0] ,&aldir_in[0] ,&aldif_in[0] ,
&coszen_in[0] ,&self.adjes ,&self.dyofyr ,&self.scon ,
&inflgsw ,&iceflgsw,&liqflgsw,&cldfr_sw_in[0,0] ,
&taucld_sw_in[0,0] ,&ssacld_sw_in[0,0] ,&asmcld_sw_in[0,0] ,&fsfcld_sw_in[0,0] ,
&cicewp_sw_in[0,0] ,&cliqwp_sw_in[0,0] ,&reice_sw_in[0] ,&reliq_sw_in[0] ,
&tauaer_sw_in[0,0] ,&ssaaer_sw_in[0,0] ,&asmaer_sw_in[0,0] ,&ecaer_sw_in[0,0] ,
&uflx_sw_out[0] ,&dflx_sw_out[0] ,&hr_sw_out[0] ,&uflxc_sw_out[0] ,&dflxc_sw_out[0], &hrc_sw_out[0])
# print('Done RRTM SW!')
# for k in xrange(nz):
# self.heating_rate[k] = (hr_lw_out[k] + hr_sw_out[k]) * pf.rho[k] * cpd/86400.0
# self.net_lw_flux[k] = uflx_lw_out[k] - dflx_lw_out[k]
# print(np.array(uflx_lw_out))
# print(np.array(dflx_lw_out))
# print(np.array(uflx_sw_out))
# print(dflx_sw_out[-1])
# print(np.array(hr_lw_out))
# print(np.array(hr_sw_out))
# plt.figure(6)
# plt.subplot(121)
# plt.plot(uflx_lw_out, self.pi_full, 'b')
# plt.plot(uflxc_lw_out, self.pi_full, 'b--')
# plt.plot(dflx_lw_out, self.pi_full, 'r')
# plt.plot(dflxc_lw_out, self.pi_full, 'r--')
# plt.xlabel('lw_out')
# plt.subplot(122)
# plt.plot(uflx_sw_out, self.pi_full, 'b')
# plt.plot(dflx_sw_out, self.pi_full, 'r')
# plt.plot(uflxc_sw_out, self.pi_full, 'b--')
# plt.plot(dflxc_sw_out, self.pi_full, 'r--')
# plt.xlabel('sw_out')
# plt.figure(7)
# plt.subplot(121)
# # plt.plot(self.heating_rate, pf.pressure)
# plt.plot(hr_lw_out, self.p_full, 'r', label='LW')
# plt.plot(hrc_lw_out, self.p_full, 'r--',label='LW')
# plt.plot(hr_sw_out, self.p_full, label='SW')
# plt.xlabel('heating rates')
# plt.legend()
# # plt.subplot(122)
# # plt.plot(self.net_lw_flux, pf.pressure)
# # plt.xlabel('net lw flux')
# plt.show()
#==============================================
#Save the RRTM outputs
# data_out = {}
# data_out['p_full'] = np.array(self.p_full)
# data_out['pi_full'] = np.array(self.pi_full)
#
# #LW fluxes
# data_out['uflx_lw'] = np.array(uflx_lw_out)
# data_out['uflxc_lw'] = np.array(uflxc_lw_out)
# data_out['dflx_lw'] = np.array(dflx_lw_out)
# data_out['dflxc_lw'] = np.array(dflxc_lw_out)
#
# #SW fluxes
# data_out['uflx_sw'] = np.array(uflx_sw_out)
# data_out['uflxc_sw'] = np.array(uflxc_sw_out)
# data_out['dflx_sw'] = np.array(dflx_sw_out)
# data_out['dflxc_sw'] = np.array(dflxc_sw_out)
#
# #Heating rates (K/day)
# data_out['hr_lw'] = np.array(hr_lw_out)
# data_out['hrc_lw'] = np.array(hrc_lw_out)
# data_out['hr_sw'] = np.array(hr_sw_out)
# data_out['hrc_sw'] = np.array(hrc_sw_out)
#
#
# output_path = pf.path+self.out_file
# fh = open(output_path, 'wb')
# pkl.dump(data_out, fh)
# fh.close()
# NetCDF4 format
root_grp = nc.Dataset(pf.out_file, 'r+', format='NETCDF4')
#First write time
rrtm_t = root_grp.variables['t']
rrtm_t[rrtm_t.shape[0]] = pf.count
var = None
var = root_grp.variables['uflx_lw']
var[-1, :] = np.array(uflx_lw_out)
var = None
var = root_grp.variables['uflxc_lw']
var[-1, :] = np.array(uflxc_lw_out)
var = None
var = root_grp.variables['dflx_lw']
var[-1, :] = np.array(dflx_lw_out)
var = None
var = root_grp.variables['dflxc_lw']
var[-1, :] = np.array(dflxc_lw_out)
var = None
var = root_grp.variables['uflx_sw']
var[-1, :] = np.array(uflx_sw_out)
var = None
var = root_grp.variables['uflxc_sw']
var[-1, :] = np.array(uflxc_sw_out)
var = None
var = root_grp.variables['dflx_sw']
var[-1, :] = np.array(dflx_sw_out)
var = None
var = root_grp.variables['dflxc_sw']
var[-1, :] = np.array(dflxc_sw_out)
root_grp.close()
# print("Finished saving RRTM output!")
return
# cpdef stats_io(self, NetCDFIO_Stats NS):
#
# NS.write_profile('net_lw_flux', self.net_lw_flux)
# NS.write_profile('radiative_heating_rate', self.heating_rate)
#
# return
# def get_humidity(temperature_old, qt_old, pressure, temperature_new):
# pv_star_1 = saturation_vapor_pressure(temperature_old)
# pv_1 = (pressure * qt_old) / (eps_v * (1.0 - qt_old) + qt_old)
# rh_ = pv_1 / pv_star_1
# pv_star_2 = saturation_vapor_pressure(temperature_new)
# pv_2 = rh_ * pv_star_2
# qt_new = 1.0/(eps_vi * (pressure - pv_2)/pv_2 + 1.0)
# return qt_new