#%%
# regrid cube
regrid_cube = iris.load_cube(
'/home/links/rmv203/obs_datasets/Tair_WFDEI_ann.nc')
regrid_cube = time_average(regrid_cube)
regrid_cube.coord('latitude').guess_bounds()
regrid_cube.coord('longitude').guess_bounds()
regrid_modelcube = regrid_cube.copy()
#%%
# Observational datasets
# Observational temperature
obs_temp_file = iris.load_cube(
'/home/links/rmv203/obs_datasets/Tair_WFDEI_ann.nc')
obs_temp_file = select_time(obs_temp_file, 2001, 2010)
obs_temp_file = time_average(obs_temp_file)
obs_temp = obs_temp_file.data
obs_temp = np.ma.masked_where(obs_temp > 60, obs_temp)
current_temp = obs_temp.copy()
# Observational soil carbon
# ncscd
ncscd_file = Dataset(
'/home/links/rmv203/obs_datasets/NCSCDV22_soilc_0.5x0.5.nc')
ncscd_data = ncscd_file.variables['soilc'][:]
n_lat_ncscd = ncscd_file.variables['lat'][:]
n_lon_ncscd = ncscd_file.variables['lon'][:]
# hwsd
hwsd_file = Dataset('/home/links/rmv203/obs_datasets/HWSD_soilc_0.5x0.5.nc')
hwsd_data = hwsd_file.variables['soilc'][:]
for model_i in range(0, n_models):
model = cmip5_models[model_i] # seleting the models
print(min_temperature, rcp, model)
#%%
#%%
# finding spatial profile for future temperature
# time averaged, area averaged historical/present day temperature
tas_preindustrial_cube = combine_netCDF_cmip5(
'/home/rmv203/cmip5_data/tas_Amon_' + model + '_historical*',
'air_temperature', model)
tas_preindustrial_cube = open_netCDF(tas_preindustrial_cube)
tas_preindustrial_cube = select_time(tas_preindustrial_cube, 1995,
2005)
tas_preindustrial_cube = time_average(tas_preindustrial_cube)
tas_preindustrial_cube = area_average(tas_preindustrial_cube,
region_global)
tas_preindustrial_data = tas_preindustrial_cube.data
# cube to find future temperature change
tas_cube = combine_netCDF_cmip5(
'/home/rmv203/cmip5_historical_' + rcp + '/tas_Amon_' + model +
'_*', 'air_temperature', model)
tas_cube = open_netCDF(tas_cube)
tas_test_cube = annual_average(tas_cube)
# defining the time variable for years
tas_test_years = tas_test_cube.coord('year').points
tas_test_cube = area_average(tas_test_cube, region_global)
tas_test_data = tas_test_cube.data
'/home/rmv203/cmip5_data/rh_Lmon_' + model + '_historical*',
'heterotrophic_respiration_carbon_flux', model)
rh_historical_cube = open_netCDF(rh_historical_cube)
# Soil Carbon (cSoil)
cSoil_historical_cube = combine_netCDF_cmip5(
'/home/rmv203/cmip5_data/cSoil_Lmon_' + model + '_historical*',
'soil_carbon_content', model)
cSoil_historical_cube = open_netCDF(cSoil_historical_cube)
# Near Surface Air Temperature (tas)
tas_historical_cube = combine_netCDF_cmip5(
'/home/rmv203/cmip5_data/tas_Amon_' + model + '_historical*',
'air_temperature', model)
tas_historical_cube = open_netCDF(tas_historical_cube)
# Select historical time period
rh_historical_cube = select_time(rh_historical_cube, lower_historical,
upper_historical)
cSoil_historical_cube = select_time(cSoil_historical_cube,
lower_historical, upper_historical)
tas_historical_cube = select_time(tas_historical_cube,
lower_historical, upper_historical)
# Time average
rh_historical_cube = time_average(rh_historical_cube)
cSoil_historical_cube = time_average(cSoil_historical_cube)
tas_historical_cube = time_average(tas_historical_cube)
# Converting from cubes to numpy_arrays
rh_historical_data = rh_historical_cube.data
cSoil_historical_data = cSoil_historical_cube.data
tas_historical_data = tas_historical_cube.data
# save to use later
historical_tas_save_data = tas_historical_data - 273.15
for model_i in range(0, n_models_cmip5):
model = cmip5_models[model_i] # seleting the models
print(rcp, model)
#%% modelled historical
# Soil Carbon (cSoil)
cSoil_historical_cube_new = combine_netCDF_cmip5('/home/rmv203/cmip5_data/cSoil_Lmon_'+model+'_historical*', 'soil_carbon_content', model)
cSoil_historical_cube_new = open_netCDF(cSoil_historical_cube_new)
# Near Surface Air Temperature (tas)
tas_historical_cube = combine_netCDF_cmip5('/home/rmv203/cmip5_data/tas_Amon_'+model+'_historical*', 'air_temperature', model)
tas_historical_cube = open_netCDF(tas_historical_cube)
# Select historical time period
cSoil_historical_cube_new = select_time(cSoil_historical_cube_new, lower_historical, upper_historical)
tas_historical_cube = select_time(tas_historical_cube, lower_historical, upper_historical)
# Time average
cSoil_historical_time_av_cube_new = time_average(cSoil_historical_cube_new)
tas_historical_cube = time_average(tas_historical_cube)
tas_historical_data = tas_historical_cube.data
# Converting from cubes to numpy_arrays
cSoil_historical_time_av_data_new = cSoil_historical_time_av_cube_new.data
#%% Modelled Future
# Soil Carbon (cSoil)
cSoil_cube = combine_netCDF_cmip5('/home/rmv203/cmip5_data/cSoil_Lmon_'+model+'_'+rcp+'_*', 'soil_carbon_content', model)
cSoil_cube = open_netCDF(cSoil_cube)
rh_historical_cube = combine_netCDF_cmip5(
'/home/rmv203/cmip5_data/rh_Lmon_' + model + '_historical*',
'heterotrophic_respiration_carbon_flux', model)
rh_historical_cube = open_netCDF(rh_historical_cube)
# Soil Carbon (cSoil)
cSoil_historical_cube = combine_netCDF_cmip5(
'/home/rmv203/cmip5_data/cSoil_Lmon_' + model + '_historical*',
'soil_carbon_content', model)
cSoil_historical_cube = open_netCDF(cSoil_historical_cube)
# Near Surface Air Temperature (tas)
tas_historical_cube = combine_netCDF_cmip5(
'/home/rmv203/cmip5_data/tas_Amon_' + model + '_historical*',
'air_temperature', model)
tas_historical_cube = open_netCDF(tas_historical_cube)
# Select historical time period
rh_historical_cube = select_time(rh_historical_cube, lower_historical,
upper_historical)
cSoil_historical_cube = select_time(cSoil_historical_cube,
lower_historical, upper_historical)
tas_historical_cube = select_time(tas_historical_cube, lower_historical,
upper_historical)
# Time average
rh_historical_time_av_cube = time_average(rh_historical_cube)
cSoil_historical_time_av_cube = time_average(cSoil_historical_cube)
tas_historical_time_av_cube = time_average(tas_historical_cube)
# Converting from cubes to numpy_arrays
rh_historical_time_av_data = rh_historical_time_av_cube.data
cSoil_historical_time_av_data = cSoil_historical_time_av_cube.data
tas_historical_time_av_data = tas_historical_time_av_cube.data
# Calculating Soil Turnover Time
tau_s_data_historical = cSoil_historical_time_av_data / (
'/home/rmv203/cmip5_data/rh_Lmon_' + model + '_historical*',
'heterotrophic_respiration_carbon_flux', model)
rh_historical_cube_new = open_netCDF(rh_historical_cube_new)
# Soil Carbon (cSoil)
cSoil_historical_cube_new = combine_netCDF_cmip5(
'/home/rmv203/cmip5_data/cSoil_Lmon_' + model + '_historical*',
'soil_carbon_content', model)
cSoil_historical_cube_new = open_netCDF(cSoil_historical_cube_new)
# Near Surface Air Temperature (tas)
tas_historical_cube = combine_netCDF_cmip5(
'/home/rmv203/cmip5_data/tas_Amon_' + model + '_historical*',
'air_temperature', model)
tas_historical_cube = open_netCDF(tas_historical_cube)
# Select historical time period
rh_historical_cube_new = select_time(rh_historical_cube_new,
lower_historical,
upper_historical)
cSoil_historical_cube_new = select_time(cSoil_historical_cube_new,
lower_historical,
upper_historical)
tas_historical_cube = select_time(tas_historical_cube,
lower_historical, upper_historical)
# Time average
rh_historical_time_av_cube_new = time_average(rh_historical_cube_new)
cSoil_historical_time_av_cube_new = time_average(
cSoil_historical_cube_new)
tas_historical_cube = time_average(tas_historical_cube)
tas_historical_data = tas_historical_cube.data
# Converting from cubes to numpy_arrays
rh_historical_time_av_data_new = rh_historical_time_av_cube_new.data
