reference_data_path = '/global/project/projectdirs/m3312/crjones/e3sm/early_science_e3sm/clim_rgr/0001-0001/'
ref_name = 'earlyscience.FC5AV1C-H01A.ne120.E3SM.20190329'
reference_name = 'E3SMv1'

# test_data_path = '/global/project/projectdirs/m3312/crjones/e3sm/early_science/monthly_hist/clim_rgr/0001-0001/lo-res/'
test_data_path = '/global/project/projectdirs/m3312/crjones/e3sm/early_science/monthly_hist/clim_rgr/0002-0007/'
test_name = 'earlyscience.FC5AV1C-H01A.ne120.sp1_64x1_1000m'
short_test_name = 'SP-E3SM'   # user specified name shown on plots

#sets = ["lat_lon"] # To run only lat_lon countour diags
#without specifing sets, sets = ['zonal_mean_xy', 'zonal_mean_2d', 'lat_lon', 'polar', 'cosp_histogram']
#sets = ['lat_lon', 'polar', 'zonal_mean_xy', 'zonal_mean_2d']

# seasons = ['DJF', 'MAM']

diff_title = 'SPE3SM - E3SMv1'

backend = 'mpl'  # 'vcs' is for vcs plotting backend.

results_dir = 'earlysci_sp_vs_e3sm'  # name of folder where all results will be stored

run_type = 'model_vs_model'

multiprocessing = True
num_workers = 24  # Number of processes to use