mydirection, target)
myradar.fields.update({'corrected_mean_doppler_velocity': my_new_field})
interp_sonde.close()
# process phase
gates = myradar.range['data'][1] - myradar.range['data'][0]
rge = 10.0 * 1000.0
ng = rge / gates
mydatetime = netCDF4.num2date(
myradar.time['data'][0], myradar.time['units'],
calendar=myradar.time['calendar']) # append a datetime object
mydict = dt_to_dict(mydatetime)
mydict.update({'scanmode': {'ppi': 'sur', 'rhi': 'rhi'}
[myradar.sweep_mode[0]], 'fac': fac})
ofilename = outdir + '%(scanmode)scmac%(fac)s.c0.%(year)04d%(month)02d%(day)02d.%(hour)02d%(minute)02d%(second)02d.nc' % mydict
reproc_phase, sob_kdp = phase_proc.phase_proc(myradar, offset, debug=True,
nowrap)
myradar.fields.update({'recalculated_diff_phase': sob_kdp,
'proc_dp_phase_shift': reproc_phase})
# attenuation correction
spec_at, cor_z = attenuation.calculate_attenuation(
myradar, offset, debug=True, a_coef=0.17)
myradar.fields.update({'specific_attenuation': spec_at})
myradar.fields.update({'corrected_reflectivity_horizontal': cor_z})
R = 51.3 * (myradar.fields['specific_attenuation']['data']) ** 0.81
rainrate = copy.deepcopy(myradar.fields['diff_phase'])
rainrate['data'] = R
rainrate['valid_min'] = 0.0
rainrate['valid_max'] = 400.0
rainrate['standard_name'] = 'rainfall_rate'
rainrate['long_name'] = 'rainfall_rate'
interp_sonde.close()
# process Phase
gates = myradar.range['data'][1] - myradar.range['data'][0]
rge = 10.0 * 1000.0
ng = rge / gates
# append a datetime object
mydatetime = netCDF4.num2date(myradar.time['data'][0],
myradar.time['units'],
calendar=myradar.time['calendar'])
mydict = dt_to_dict(mydatetime)
mydict.update({'scanmode': {'ppi': 'sur', 'rhi': 'rhi'}
[myradar.sweep_mode[0]], 'fac': metadata['facility']})
ofilename = outdir + '%(scanmode)scmac%(fac)s.c0.%(year)04d%(month)02d%(day)02d.%(hour)02d%(minute)02d%(second)02d.nc' % mydict
reproc_phase, sob_kdp = phase_proc.phase_proc(
myradar, params['reflectivity_offset'], sys_phase=params['sys_phase'],
overide_sys_phase=params['overide_sys_phase'], debug=True, nowrap=ng)
myradar.fields.update({'recalculated_diff_phase': sob_kdp,
'proc_dp_phase_shift': reproc_phase})
#attenuation correction
spec_at, cor_z = attenuation.calculate_attenuation(
myradar, params['reflectivity_offset'], debug=True, a_coef=0.17)
myradar.fields.update({'specific_attenuation': spec_at})
myradar.fields.update({'corrected_reflectivity_horizontal': cor_z})
R = 51.3 * (myradar.fields['specific_attenuation']['data']) ** 0.81
rainrate = copy.deepcopy(myradar.fields['diff_phase'])
rainrate['data'] = R
rainrate['valid_min'] = 0.0
rainrate['valid_max'] = 400.0
rainrate['standard_name'] = 'rainfall_rate'
outdir = sys.argv[2]
# open the radar file
my_mdv_object = py_mdv.read_mdv(filename, debug=True)
myradar = radar.Radar(my_mdv_object)
gates = myradar.range['data'][1] - myradar.range['data'][0]
rge = 10.0 * 1000.0
ng = rge / gates
#append a datetime object
mydatetime = netCDF4.num2date(myradar.time['data'][0],
myradar.time['units'],
calendar=myradar.time['calendar'])
mydict = dt_to_dict(mydatetime)
mydict.update({'scanmode': {'ppi': 'sur', 'rhi': 'rhi'}
[myradar.sweep_mode[0]]})
ofilename = outdir + '%(scanmode)scmacI7.c0.%(year)04d%(month)02d%(day)02d.%(hour)02d%(minute)02d%(second)02d.nc' % mydict
reproc_phase, sob_kdp = phase_proc.phase_proc(myradar, -2.0, debug=True,
nowrap=ng)
myradar.fields.update({'recalculated_diff_phase': sob_kdp,
'proc_dp_phase_shift': reproc_phase})
spec_at, cor_z = attenuation.calculate_attenuation(
myradar, -2.0, debug=True)
myradar.fields.update({'specific_attenuation': spec_at})
myradar.fields.update({'corrected_reflectivity_horizontal': cor_z})
netcdf_obj = netCDF4.Dataset(ofilename, 'w', format='NETCDF4')
nc_utils.write_radar4(netcdf_obj, myradar)
netcdf_obj.close()
