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Merge pull request #246 from daw538/simcloud
Simcloud: A simple cloud scheme for Isca
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| ../../realistic_continents/input/siconc_clim_amip.nc |
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| ../../realistic_continents/input/sst_clim_amip.nc |
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| import os | ||
| import numpy as np | ||
| from isca import SocratesCodeBase, DiagTable, Experiment, Namelist, GFDL_BASE | ||
|
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||
| NCORES = 16 | ||
| NUM_LEVELS = 25 | ||
|
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| base_dir = os.path.dirname(os.path.realpath(__file__)) | ||
| # a CodeBase can be a directory on the computer, | ||
| # useful for iterative development | ||
| cb = SocratesCodeBase.from_directory(GFDL_BASE) | ||
|
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||
| # or it can point to a specific git repo and commit id. | ||
| # This method should ensure future, independent, reproducibility of results. | ||
| # cb = DryCodeBase.from_repo(repo='https://github.com/isca/isca', commit='isca1.1') | ||
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| # compilation depends on computer specific settings. The $GFDL_ENV | ||
| # environment variable is used to determine which `$GFDL_BASE/src/extra/env` file | ||
| # is used to load the correct compilers. The env file is always loaded from | ||
| # $GFDL_BASE and not the checked out git repo. | ||
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| # create an Experiment object to handle the configuration of model parameters | ||
| # and output diagnostics | ||
| exp = Experiment('soc_realistic_continents_fixed_sst_with_linear_cld_scheme', codebase=cb) | ||
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| # Tell model how to write diagnostics | ||
| diag = DiagTable() | ||
| diag.add_file('atmos_monthly', 30, 'days', time_units='days') | ||
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| # Tell model which diagnostics to write | ||
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| # need at least ps, pk, bk and zsurf to do vertical interpolation onto plevels from sigma | ||
| diag.add_field('dynamics', 'ps', time_avg=True) | ||
| diag.add_field('dynamics', 'bk') | ||
| diag.add_field('dynamics', 'pk') | ||
| diag.add_field('dynamics', 'zsurf') | ||
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| diag.add_field('dynamics', 'sphum', time_avg=True) | ||
| diag.add_field('dynamics', 'ucomp', time_avg=True) | ||
| diag.add_field('dynamics', 'vcomp', time_avg=True) | ||
| diag.add_field('dynamics', 'omega', time_avg=True) | ||
| diag.add_field('dynamics', 'temp', time_avg=True) | ||
| diag.add_field('dynamics', 'vor', time_avg=True) | ||
| diag.add_field('dynamics', 'div', time_avg=True) | ||
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| diag.add_field('atmosphere', 'precipitation', time_avg=True) | ||
| diag.add_field('mixed_layer', 't_surf', time_avg=True) | ||
| diag.add_field('mixed_layer', 'ice_conc', time_avg=True) | ||
| diag.add_field('mixed_layer', 'flux_lhe', time_avg=True) | ||
| diag.add_field('mixed_layer', 'flux_t', time_avg=True) | ||
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| # all-sky radiation fluxes at TOA and surface | ||
| diag.add_field('socrates', 'soc_flux_lw', time_avg=True) | ||
| diag.add_field('socrates', 'soc_flux_sw', time_avg=True) | ||
| diag.add_field('socrates', 'soc_olr', time_avg=True) | ||
| diag.add_field('socrates', 'soc_toa_sw', time_avg=True) | ||
| diag.add_field('socrates', 'soc_toa_sw_up', time_avg=True) | ||
| diag.add_field('socrates', 'soc_toa_sw_down', time_avg=True) | ||
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| diag.add_field('socrates', 'soc_surf_flux_lw', time_avg=True) | ||
| diag.add_field('socrates', 'soc_surf_flux_sw', time_avg=True) | ||
| diag.add_field('socrates', 'soc_surf_flux_lw_down', time_avg=True) | ||
| diag.add_field('socrates', 'soc_surf_flux_sw_down', time_avg=True) | ||
|
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||
| # clear-sky radiation fluxes at TOA and surface | ||
| diag.add_field('socrates', 'soc_olr_clr', time_avg=True) | ||
| diag.add_field('socrates', 'soc_toa_sw_clr', time_avg=True) | ||
| diag.add_field('socrates', 'soc_toa_sw_up_clr', time_avg=True) | ||
| diag.add_field('socrates', 'soc_flux_lw_clr', time_avg=True) | ||
| diag.add_field('socrates', 'soc_flux_sw_clr', time_avg=True) | ||
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| diag.add_field('socrates', 'soc_surf_flux_lw_clr', time_avg=True) | ||
| diag.add_field('socrates', 'soc_surf_flux_sw_clr', time_avg=True) | ||
| diag.add_field('socrates', 'soc_surf_flux_lw_down_clr', time_avg=True) | ||
| diag.add_field('socrates', 'soc_surf_flux_sw_down_clr', time_avg=True) | ||
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| # Cloud related diagnostics | ||
| diag.add_field('cloud_simple', 'cf', time_avg=True) | ||
| diag.add_field('cloud_simple', 'reff_rad', time_avg=True) | ||
| diag.add_field('cloud_simple', 'frac_liq', time_avg=True) | ||
| diag.add_field('cloud_simple', 'qcl_rad', time_avg=True) | ||
| diag.add_field('cloud_simple', 'rh_in_cf', time_avg=True) | ||
| #diag.add_field('ls_cloud', 'rhcrit', time_avg=True) | ||
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| diag.add_field('cloud_cover', 'tot_cld_amt', time_avg=True) | ||
| diag.add_field('cloud_cover', 'high_cld_amt', time_avg=True) | ||
| diag.add_field('cloud_cover', 'mid_cld_amt', time_avg=True) | ||
| diag.add_field('cloud_cover', 'low_cld_amt', time_avg=True) | ||
| #diag.add_field('socrates', 'soc_tot_cloud_cover', time_avg=True) | ||
|
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| # Some intermediate outputs from marine strat clouds diag module | ||
| # diag.add_field('strat_cloud', 'eis', time_avg=True) | ||
| # diag.add_field('strat_cloud', 'ectei', time_avg=True) | ||
| # diag.add_field('strat_cloud', 'lts', time_avg=True) | ||
| # diag.add_field('strat_cloud', 'ELF', time_avg=True) | ||
| # diag.add_field('strat_cloud', 'zlcl', time_avg=True) | ||
| # diag.add_field('strat_cloud', 'z700', time_avg=True) | ||
| # diag.add_field('strat_cloud', 'gamma700', time_avg=True) | ||
| # diag.add_field('strat_cloud', 'gamma_DL', time_avg=True) | ||
| # diag.add_field('strat_cloud', 'theta', time_avg=True) | ||
| # diag.add_field('strat_cloud', 'dthdp', time_avg=True) | ||
| # diag.add_field('strat_cloud', 'beta1', time_avg=True) | ||
| # diag.add_field('strat_cloud', 'beta2', time_avg=True) | ||
| # diag.add_field('strat_cloud', 'zinv', time_avg=True) | ||
| # diag.add_field('strat_cloud', 'alpha', time_avg=True) | ||
| # diag.add_field('strat_cloud', 'DS', time_avg=True) | ||
| # diag.add_field('strat_cloud', 'IS', time_avg=True) | ||
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| exp.diag_table = diag | ||
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| # Empty the run directory ready to run | ||
| exp.clear_rundir() | ||
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| exp.inputfiles = [os.path.join(GFDL_BASE, 'input/rrtm_input_files/ozone_1990.nc'), | ||
| os.path.join(base_dir, 'input/era_land_t42_filtered.nc'), | ||
| os.path.join(base_dir, 'input/sst_clim_amip.nc'), | ||
| os.path.join(base_dir, 'input/siconc_clim_amip.nc')] | ||
|
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| # Define values for the 'core' namelist | ||
| exp.namelist = Namelist({ | ||
| 'main_nml':{ | ||
| 'days' : 30, | ||
| 'hours' : 0, | ||
| 'minutes' : 0, | ||
| 'seconds' : 0, | ||
| 'dt_atmos': 720, # 600 | ||
| 'current_date': [1,1,1,0,0,0], | ||
| 'calendar': 'thirty_day' | ||
| }, | ||
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| 'socrates_rad_nml': { | ||
| 'stellar_constant': 1370., | ||
| #'lw_spectral_filename': os.path.join(GFDL_BASE, 'src/atmos_param/socrates/src/trunk/data/spectra/ga7/sp_lw_ga7'), | ||
| #'sw_spectral_filename': os.path.join(GFDL_BASE, 'src/atmos_param/socrates/src/trunk/data/spectra/ga7/sp_sw_ga7'), | ||
| 'lw_spectral_filename': os.path.join(GFDL_BASE, 'src/atmos_param/socrates/src/trunk/data/spectra/ga3_1/sp_lw_ga3_1'), | ||
| 'sw_spectral_filename': os.path.join(GFDL_BASE, 'src/atmos_param/socrates/src/trunk/data/spectra/ga3_1/sp_sw_ga3_0'), | ||
| 'do_read_ozone': True, | ||
| 'ozone_file_name' : 'ozone_1990', | ||
| 'ozone_field_name': 'ozone_1990', | ||
| 'dt_rad': 4320, # 3600, | ||
| 'store_intermediate_rad': True, | ||
| 'chunk_size': 16, | ||
| 'use_pressure_interp_for_half_levels': False, | ||
| 'tidally_locked': False, | ||
| }, | ||
|
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| 'idealized_moist_phys_nml': { | ||
| 'do_damping': True, | ||
| 'turb': True, | ||
| 'mixed_layer_bc': True, | ||
| 'do_virtual': False, | ||
| 'do_simple': True, | ||
| 'roughness_mom' : 3.21e-05, | ||
| 'roughness_heat' : 3.21e-05, | ||
| 'roughness_moist': 3.21e-05, | ||
| 'two_stream_gray': False, # Use the grey radiation scheme | ||
| 'do_socrates_radiation': True, | ||
| 'convection_scheme': 'SIMPLE_BETTS_MILLER', # Use simple Betts miller convection | ||
| 'do_cloud_simple': True, # Turn on the cloud scheme switch | ||
| 'land_option': 'input', | ||
| 'land_file_name': 'INPUT/era_land_t42_filtered.nc', | ||
| 'land_roughness_prefactor': 10.0, | ||
| 'roughness_mom' : 2.e-04, # Ocean roughness lengths | ||
| 'roughness_heat' : 2.e-04, # Ocean roughness lengths | ||
| 'roughness_moist': 2.e-04, # Ocean roughness lengths | ||
| 'bucket': True, # Run with the bucket model | ||
| 'init_bucket_depth_land': 0.15, | ||
| }, | ||
|
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||
| # Using linear cloud scheme option | ||
| 'cloud_simple_nml': { | ||
| 'do_qcl_with_temp': True, | ||
| 'do_cloud_cover_diags': True, | ||
| 'do_add_stratocumulus': True, | ||
| 'reff_liq': 14, # Units: micron | ||
| 'reff_ice': 25, # Units: micron | ||
| 'qcl_val': 0.18, # Units: g/kg, not kg/kg | ||
| }, | ||
|
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| 'large_scale_cloud_nml': { | ||
| 'cf_diag_formula_name': 'linear', | ||
| 'do_adjust_cld_by_omega': False, | ||
| 'do_freezedry': True, | ||
| 'qv_polar_val': 0.006, # Units: kg/kg | ||
| 'freezedry_power': 2.5, | ||
| 'do_fitted_rhcrit': False, | ||
| 'linear_a_surf': 42, | ||
| 'linear_a_top': 13, | ||
| 'linear_power': 11, | ||
| }, | ||
|
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| 'marine_strat_cloud_nml': { | ||
| 'sc_diag_method': 'Park_ELF', | ||
| 'intermediate_outputs_diags': False, | ||
| 'dthdp_min_threshold': -0.08, | ||
| 'park_a': 1.3, | ||
| 'park_b': -0.1, | ||
| }, | ||
|
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| 'cloud_cover_diag_nml':{ | ||
| 'overlap_assumption': 'maximum-random', # or 'maximum', 'random' | ||
| 'mid_cld_bottom': 7.0e4, | ||
| 'high_cld_bottom': 4.0e4, | ||
| 'cf_min': 0, | ||
| }, | ||
|
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| 'vert_turb_driver_nml': { | ||
| 'do_mellor_yamada': False, # default: True | ||
| 'do_diffusivity': True, # default: False | ||
| 'do_simple': True, # default: False | ||
| 'constant_gust': 0.0, # default: 1.0 | ||
| 'use_tau': False | ||
| }, | ||
|
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| 'diffusivity_nml': { | ||
| 'do_entrain': True, #False, | ||
| 'do_simple': True, | ||
| }, | ||
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| 'surface_flux_nml': { | ||
| 'use_virtual_temp': False, | ||
| 'do_simple': True, | ||
| 'old_dtaudv': True, | ||
| 'land_humidity_prefactor': 1, | ||
| 'land_evap_prefactor': 0.6, | ||
| #'ocean_evap_prefactor': 1, | ||
| }, | ||
|
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| 'atmosphere_nml': { | ||
| 'idealized_moist_model': True | ||
| }, | ||
|
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| #Use a large mixed-layer depth, and the Albedo of the CTRL case in Jucker & Gerber, 2017 | ||
| 'mixed_layer_nml': { | ||
| 'tconst': 285., | ||
| 'prescribe_initial_dist': True, | ||
| 'evaporation': True, | ||
| 'depth': 20.0, # Depth of mixed layer used | ||
| 'land_option': 'input', # Tell mixed layer to get land mask from input file | ||
| 'land_h_capacity_prefactor': 0.1, # What factor to multiply mixed-layer depth by over land. | ||
| 'albedo_value': 0.12, # Ocean albedo value | ||
| 'land_albedo_prefactor': 1.3, # What factor to multiply ocean albedo by over land | ||
| 'do_qflux': False, # Don't use the prescribed analytical formula for q-fluxes | ||
| 'do_read_sst': True, # Read in sst values from input file | ||
| 'do_sc_sst': True, # Do specified ssts (need both to be true) | ||
| 'sst_file': 'sst_clim_amip', # Set name of sst input file | ||
| 'specify_sst_over_ocean_only': True, # Make sure sst only specified in regions of ocean. | ||
| # Copy from realistic_continents namelist | ||
| 'update_albedo_from_ice': True, # Use the simple ice model to update surface albedo | ||
| 'ice_albedo_value': 0.7, # What value of albedo to use in regions of ice | ||
| #'ice_concentration_threshold': 0.5, # ice concentration threshold above which to make albedo equal to ice_albedo_value | ||
| 'ice_albedo_method': 'ramp_function', | ||
| }, | ||
|
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| 'qe_moist_convection_nml': { | ||
| 'rhbm': 0.7, | ||
| 'Tmin': 160., | ||
| 'Tmax': 350., | ||
| }, | ||
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| 'lscale_cond_nml': { | ||
| 'do_simple': True, | ||
| 'do_evap': True, | ||
| }, | ||
|
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| 'sat_vapor_pres_nml': { | ||
| 'do_simple': True, | ||
| 'construct_table_wrt_liq_and_ice': True, | ||
| 'show_all_bad_values': True, | ||
| }, | ||
|
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| 'damping_driver_nml': { | ||
| 'do_rayleigh': True, | ||
| 'trayfric': -0.5, # neg. value: time in *days* | ||
| 'sponge_pbottom': 150., # Setting the lower pressure boundary for the model sponge layer in Pa. | ||
| 'do_conserve_energy': True, | ||
| }, | ||
|
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| # FMS Framework configuration | ||
| 'diag_manager_nml': { | ||
| 'mix_snapshot_average_fields': False # time avg fields are labelled with time in middle of window | ||
| }, | ||
|
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| 'fms_nml': { | ||
| 'domains_stack_size': 600000 # default: 0 | ||
| }, | ||
|
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| 'fms_io_nml': { | ||
| 'threading_write': 'single', # default: multi | ||
| 'fileset_write': 'single', # default: multi | ||
| }, | ||
|
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| 'spectral_dynamics_nml': { | ||
| 'damping_order': 4, | ||
| 'water_correction_limit': 200.e2, | ||
| 'reference_sea_level_press': 1.0e5, | ||
| 'num_levels': NUM_LEVELS, # How many model pressure levels to use | ||
| 'valid_range_t': [100., 800.], | ||
| 'initial_sphum': [2.e-6], | ||
| 'vert_coord_option': 'uneven_sigma', | ||
| 'surf_res': 0.03, # 0.2, # Parameter that sets the vertical distribution of sigma levels | ||
| 'scale_heights': 11.0, | ||
| 'exponent': 7.0, | ||
| 'robert_coeff': 0.03, | ||
| 'ocean_topog_smoothing': 0.8, | ||
| }, | ||
|
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| 'spectral_init_cond_nml':{ | ||
| 'topog_file_name': 'era_land_t42_filtered.nc', | ||
| 'topography_option': 'input', | ||
| }, | ||
| }) | ||
|
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| if __name__=="__main__": | ||
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| cb.compile(debug=False) | ||
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| OVERWRITE = False | ||
|
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| # Set up the experiment object, with the first argument being the experiment name. | ||
| # This will be the name of the folder that the data will appear in. | ||
| exp.run(1, use_restart=False, num_cores=NCORES, overwrite_data=OVERWRITE) | ||
| for i in range(2, 25): | ||
| exp.run(i, num_cores=NCORES, overwrite_data=OVERWRITE) |
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