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io_output.py
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166 lines (136 loc) · 5.38 KB
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#!/usr/bin/env python
from scipy.io import netcdf
import numpy as np
from parcel_common import _Chem_g_id, _Chem_a_id
def _output_bins(fout, t, micro, opts, spectra):
for dim, dct in spectra.items():
for bin in range(dct["nbin"]):
if dct["drwt"] == 'wet':
micro.diag_wet_rng(
fout.variables[dim+"_r_wet"][bin],
fout.variables[dim+"_r_wet"][bin] + fout.variables[dim+"_dr_wet"][bin]
)
elif dct["drwt"] == 'dry':
micro.diag_dry_rng(
fout.variables[dim+"_r_dry"][bin],
fout.variables[dim+"_r_dry"][bin] + fout.variables[dim+"_dr_dry"][bin]
)
else: raise Exception("drwt should be wet or dry")
for vm in dct["moms"]:
if type(vm) == int:
# calculating moments
if dct["drwt"] == 'wet':
micro.diag_wet_mom(vm)
elif dct["drwt"] == 'dry':
micro.diag_dry_mom(vm)
else: raise Exception("drwt should be wet or dry")
fout.variables[dim+'_m'+str(vm)][int(t), int(bin)] = np.frombuffer(micro.outbuf())
else:
# calculate chemistry
micro.diag_chem(_Chem_a_id[vm])
fout.variables[dim+'_'+vm][int(t), int(bin)] = np.frombuffer(micro.outbuf())
def _output_init(micro, opts, spectra):
"""Initialize output file for lagrangian scheme"""
# file & dimensions
fout = netcdf.netcdf_file(opts["outfile"], 'w')
fout.createDimension('t', None)
for name, dct in spectra.items():
fout.createDimension(name, dct["nbin"])
tmp = name + '_r_' + dct["drwt"]
fout.createVariable(tmp, 'd', (name,))
fout.variables[tmp].unit = "m"
fout.variables[tmp].description = "particle wet radius (left bin edge)"
tmp = name + '_dr_' + dct["drwt"]
fout.createVariable(tmp, 'd', (name,))
fout.variables[tmp].unit = "m"
fout.variables[tmp].description = "bin width"
if dct["lnli"] == 'log':
from math import exp, log
dlnr = (log(dct["rght"]) - log(dct["left"])) / dct["nbin"]
allbins = np.exp(log(dct["left"]) + np.arange(dct["nbin"]+1) * dlnr)
fout.variables[name+'_r_'+dct["drwt"]][:] = allbins[0:-1]
fout.variables[name+'_dr_'+dct["drwt"]][:] = allbins[1:] - allbins[0:-1]
elif dct["lnli"] == 'lin':
dr = (dct["rght"] - dct["left"]) / dct["nbin"]
fout.variables[name+'_r_'+dct["drwt"]][:] = dct["left"] + np.arange(dct["nbin"]) * dr
fout.variables[name+'_dr_'+dct["drwt"]][:] = dr
else: raise Exception("lnli should be log or lin")
for vm in dct["moms"]:
if (vm in _Chem_a_id):
fout.createVariable(name+'_'+vm, 'd', ('t',name))
fout.variables[name+'_'+vm].unit = 'kg of chem species dissolved in cloud droplets (kg of dry air)^-1'
else:
assert(type(vm)==int)
fout.createVariable(name+'_m'+str(vm), 'd', ('t',name))
fout.variables[name+'_m'+str(vm)].unit = 'm^'+str(vm)+' (kg of dry air)^-1'
units = {"z" : "m", "t" : "s", "r_v" : "kg/kg", "th_d" : "K", "rhod" : "kg/m3",
"p" : "Pa", "T" : "K", "RH" : "1", "T_blk" : "K", "RH_blk" : "1"
}
if micro.opts_init.chem_switch:
for id_str in _Chem_g_id.keys():
units[id_str] = "gas mixing ratio [kg / kg dry air]"
units[id_str.replace('_g', '_a')] = "kg of chem species (both undissociated and ions) dissolved in cloud droplets (kg of dry air)^-1"
for var_name, unit in units.items():
fout.createVariable(var_name, 'd', ('t',))
fout.variables[var_name].unit = unit
if micro.opts_init.ice_switch:
fout.createVariable("ice_mix_ratio", 'd', ('t',))
fout.variables["ice_mix_ratio"].unit = "kg/kg"
return fout
def _output_init_blk_1m(opts):
"""Initialize output file for bulk microphysics scheme without ice processes"""
fout = netcdf.netcdf_file(opts["outfile"], 'w')
fout.createDimension('t', None)
# Basic variables with their units
vars_units = {
"z": ("m",),
"t": ("s",),
"r_v": ("kg/kg",),
"rc": ("kg/kg",),
"rr": ("kg/kg",),
"th_d": ("K",),
"rhod": ("kg/m3",),
"p": ("Pa",),
"T": ("K",),
"RH": ("1",),
"T_blk": ("K",),
"RH_blk": ("1",)
}
for var, (unit,) in vars_units.items():
fout.createVariable(var, 'd', ('t',))
fout.variables[var].unit = unit
return fout
def _output_init_blk_1m_ice(opts):
"""Initialize output file for bulk ice microphysics scheme"""
fout = netcdf.netcdf_file(opts["outfile"], 'w')
fout.createDimension('t', None)
# Basic variables with their units
vars_units = {
"z": ("m",),
"t": ("s",),
"r_v": ("kg/kg",),
"rc": ("kg/kg",),
"rr": ("kg/kg",),
"ria": ("kg/kg",),
"rib": ("kg/kg",),
"th_d": ("K",),
"rhod": ("kg/m3",),
"p": ("Pa",),
"T": ("K",),
"RH": ("1",),
"T_blk": ("K",),
"RH_blk": ("1",)
}
for var, (unit,) in vars_units.items():
fout.createVariable(var, 'd', ('t',))
fout.variables[var].unit = unit
return fout
def _output_save(fout, state, rec):
for var, val in state.items():
fout.variables[var][int(rec)] = val
def _save_attrs(fout, dictnr):
for var, val in dictnr.items():
setattr(fout, var, val)
def _output(fout, opts, micro, state, rec, spectra):
_output_bins(fout, rec, micro, opts, spectra)
_output_save(fout, state, rec)