# Loop through each rcp run being considered
for rcp_option in range(0, rcp_options_length):
rcp = rcp_options[rcp_option] # selecting the rcp scenario
# for loop for each CMIP5 model
for model_i in range(0, n_models):
model = cmip5_models[model_i] # seleting the models
print(rcp, model)
#%% historical soil turnover time
# Heterotrophic Respiration (RH)
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_cube = time_average(rh_historical_cube)
cSoil_historical_cube = time_average(cSoil_historical_cube)
tas_historical_cube = time_average(tas_historical_cube)
# Loop through each rcp run being considered
for rcp_option in range(0, rcp_options_length):
rcp = rcp_options[rcp_option] # selecting the rcp scenario
# for loop for each CMIP5 model
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
# for loop for each cmip5 model
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_merging_time_runs(
'/home/rmv203/cmip5_historical_' + rcp + '/tas_Amon_' + model +
'_*', 'air_temperature', model
) #cmip5_data/tas_Amon_'+model+'_'+rcp+'*', 'air_temperature', model)
tas_cube = open_netCDF(tas_cube)
tas_test_cube = annual_average(tas_cube)
# defining the time variable for years
for rcp_option in range(0, rcp_options_length):
rcp = rcp_options[rcp_option] # selecting the rcp scenario
# for loop for each CMIP5 model
for model_i in range(0, n_models_cmip5):
model = cmip5_models[model_i] # seleting the models
print(rcp, model)
#%% modelled historical
# Heterotrophic Respiration (RH)
rh_historical_cube_new = combine_netCDF_cmip5(
'/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,