param.reference_data_path = (
"/global/cfs/cdirs/e3sm/acme_diags/test_model_data_for_acme_diags/climatology/"
)
# Name of the ref model data, used to find the climo files.
param.ref_name = "20161118.beta0.F1850COSP.ne30_ne30.edison"
# An optional, shorter name to be used instead of the ref_name.
param.short_ref_name = "Ref: beta0.F1850COSP_ne30"
# Location of the test data.
param.test_data_path = (
"/global/cfs/cdirs/e3sm/acme_diags/test_model_data_for_acme_diags/climatology"
)
# Name of the test model data, used to find the climo files.
param.test_name = "20161118.beta0.FC5COSP.ne30_ne30.edison"
# An optional, shorter name to be used instead of the test_name.
param.short_test_name = "Test: beta0_FC5COSP_ne30"
# What plotsets to run the diags on.
param.sets = ["lat_lon"]
# Name of the folder where the results are stored.
# Change `prefix` to use your directory.
prefix = "/global/cfs/cdirs/e3sm/www/<your directory>/examples"
param.results_dir = os.path.join(prefix, "ex4_model_to_model")
# This parameter modifies the software to accommodate model vs model runs.
# The default setting for run_type is 'model_vs_obs'.
param.run_type = "model_vs_model"
# Below are more optional arguments.
# 'mpl' is to create matplotlib plots, 'vcs' is for vcs plots.
param.backend = "mpl"
# By default, e3sm_diags expects the test data to be climo data. param.test_timeseries_input = True # Years to slice the test data, base this off the years in the filenames. param.test_start_yr = "2001" param.test_end_yr = "2003" # Set this parameter to True. # By default, e3sm_diags expects the ref data to be climo data. param.ref_timeseries_input = True # Years to slice the ref data, base this off the years in the filenames. param.ref_start_yr = "1850" param.ref_end_yr = "1852" # When running with time-series data, you don't need to specify the name of the data. # But you should, otherwise nothing is displayed when the test/ref name is needed. param.short_test_name = "CESM1-CAM5-historical" param.short_ref_name = "CESM1-CAM5-historical" # This parameter modifies the software to accommodate model vs model runs. # The default setting for run_type is 'model_vs_obs'. param.run_type = "model_vs_model" # Name of the folder where the results are stored. # Change `prefix` to use your directory. prefix = "/global/cfs/cdirs/e3sm/www/<your directory>/examples" param.results_dir = os.path.join(prefix, "ex2_modTS_vs_modTS_CMIP_3years") # Below are more optional arguments. # What plotsets to run the diags on. # If not defined, then all available sets are used. param.sets = ["lat_lon"]
# By default, e3sm_diags expects the test data to be climo data. param.test_timeseries_input = True # Years to slice the test data, base this off the years in the filenames. param.test_start_yr = "2011" param.test_end_yr = "2013" # Set this parameter to True. # By default, e3sm_diags expects the ref data to be climo data. param.ref_timeseries_input = True # Years to slice the ref data, base this off the years in the filenames. param.ref_start_yr = "1850" param.ref_end_yr = "1852" # When running with time-series data, you don't need to specify the name of the data. # But you should, otherwise nothing is displayed when the test/ref name is needed. param.short_test_name = "historical_H1" param.short_ref_name = "historical_H1" # This parameter modifies the software to accommodate model vs model runs. # The default setting for run_type is 'model_vs_obs'. param.run_type = "model_vs_model" # Name of the folder where the results are stored. # Change `prefix` to use your directory. prefix = "/global/cfs/cdirs/e3sm/www/<your directory>/examples" param.results_dir = os.path.join(prefix, "ex1_modTS_vs_modTS_3years") # Below are more optional arguments. # What plotsets to run the diags on. # If not defined, then all available sets are used. param.sets = ["lat_lon"]
import os from acme_diags.parameter.core_parameter import CoreParameter from acme_diags.run import runner param = CoreParameter() # Location of the data. param.reference_data_path = '/global/cfs/cdirs/e3sm/acme_diags/obs_for_e3sm_diags/climatology/' param.test_data_path = '/global/cfs/cdirs/e3sm/acme_diags/test_model_data_for_acme_diags/climatology/' # Name of the test model data, used to find the climo files. param.test_name = '20161118.beta0.FC5COSP.ne30_ne30.edison' # An optional, shorter name to be used instead of the test_name. param.short_test_name = 'beta0.FC5COSP.ne30' # What plotsets to run the diags on. param.sets = ['lat_lon'] # Name of the folder where the results are stored. # Change `prefix` to use your directory. #prefix = '/global/cfs/cdirs/e3sm/www/<your directory>/examples' param.results_dir = os.path.join(prefix, 'ex5_model_to_obs') # Below are more optional arguments. # 'mpl' is to create matplotlib plots, 'vcs' is for vcs plots. param.backend = 'mpl' # Title of the difference plots. param.diff_title = 'Model - Obs.' # Save the netcdf files for each of the ref, test, and diff plot. param.save_netcdf = True ## For running with multiprocessing. #param.multiprocessing = True
# By default, e3sm_diags expects the test data to be climo data. param.test_timeseries_input = True # Years to slice the test data, base this off the years in the filenames. param.test_start_yr = '2011' param.test_end_yr = '2013' # Set this parameter to True. # By default, e3sm_diags expects the ref data to be climo data. param.ref_timeseries_input = True # Years to slice the ref data, base this off the years in the filenames. param.ref_start_yr = '1850' param.ref_end_yr = '1852' # When running with time-series data, you don't need to specify the name of the data. # But you should, otherwise nothing is displayed when the test/ref name is needed. param.short_test_name = 'historical_H1' param.short_ref_name = 'historical_H1' # This parameter modifies the software to accommodate model vs model runs. # The default setting for run_type is 'model_vs_obs'. param.run_type = 'model_vs_model' # Name of the folder where the results are stored. # Change `prefix` to use your directory. #prefix = '/global/cfs/cdirs/e3sm/www/<your directory>/examples' param.results_dir = os.path.join(prefix, 'ex1_modTS_vs_modTS_3years') # Below are more optional arguments. # What plotsets to run the diags on. # If not defined, then all available sets are used. param.sets = ['lat_lon']
