case1 = 'ne30_sp1_sgs_fix_72L_64x1_1km'
case2 = 'ne30_sp1_accel_uv_a5_72L_64x1_1km'
subdir = 'clim_rgr/2000-2000'
topdir = '/global/project/projectdirs/m3312/crjones/e3sm'

reference_data_path = '/'.join([topdir, case1, subdir])
ref_name = case1
reference_name = 'SP1-64x1-ctl'

#reference_data_path = '/global/project/projectdirs/m2861/crjones/e3sm_runs/ne30_sp1_sgs_fix_72L_64x1_1km/hist/remap/'
#ref_name = 'ne30_sp1_sgs_fix_72L_64x1_1km'
#reference_name = 'SP1:'

test_data_path = '/'.join([topdir, case2, subdir])
test_name = case2
short_test_name = 'SP1-64x1-accel5'   # 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 = 'CTL - ACCEL'

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

results_dir = '/global/project/projectdirs/acme/www/crjones/e3sm_diags/ne30_sp1_vs_sp1-a5'  # name of folder where all results will be stored

run_type = 'model_vs_model'

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