|
| 1 | +import os |
| 2 | +import numpy as np |
| 3 | +from isca import SocratesCodeBase, DiagTable, Experiment, Namelist, GFDL_BASE |
| 4 | + |
| 5 | +NCORES = 16 |
| 6 | +NUM_LEVELS = 25 |
| 7 | + |
| 8 | +base_dir = os.path.dirname(os.path.realpath(__file__)) |
| 9 | +# a CodeBase can be a directory on the computer, |
| 10 | +# useful for iterative development |
| 11 | +cb = SocratesCodeBase.from_directory(GFDL_BASE) |
| 12 | + |
| 13 | +# or it can point to a specific git repo and commit id. |
| 14 | +# This method should ensure future, independent, reproducibility of results. |
| 15 | +# cb = DryCodeBase.from_repo(repo='https://github.com/isca/isca', commit='isca1.1') |
| 16 | + |
| 17 | +# compilation depends on computer specific settings. The $GFDL_ENV |
| 18 | +# environment variable is used to determine which `$GFDL_BASE/src/extra/env` file |
| 19 | +# is used to load the correct compilers. The env file is always loaded from |
| 20 | +# $GFDL_BASE and not the checked out git repo. |
| 21 | + |
| 22 | +# create an Experiment object to handle the configuration of model parameters |
| 23 | +# and output diagnostics |
| 24 | +exp = Experiment('soc_realistic_continents_fixed_sst_with_linear_cld_scheme', codebase=cb) |
| 25 | + |
| 26 | +# Tell model how to write diagnostics |
| 27 | +diag = DiagTable() |
| 28 | +diag.add_file('atmos_monthly', 30, 'days', time_units='days') |
| 29 | + |
| 30 | +# Tell model which diagnostics to write |
| 31 | + |
| 32 | +# need at least ps, pk, bk and zsurf to do vertical interpolation onto plevels from sigma |
| 33 | +diag.add_field('dynamics', 'ps', time_avg=True) |
| 34 | +diag.add_field('dynamics', 'bk') |
| 35 | +diag.add_field('dynamics', 'pk') |
| 36 | +diag.add_field('dynamics', 'zsurf') |
| 37 | + |
| 38 | +diag.add_field('dynamics', 'sphum', time_avg=True) |
| 39 | +diag.add_field('dynamics', 'ucomp', time_avg=True) |
| 40 | +diag.add_field('dynamics', 'vcomp', time_avg=True) |
| 41 | +diag.add_field('dynamics', 'omega', time_avg=True) |
| 42 | +diag.add_field('dynamics', 'temp', time_avg=True) |
| 43 | +diag.add_field('dynamics', 'vor', time_avg=True) |
| 44 | +diag.add_field('dynamics', 'div', time_avg=True) |
| 45 | + |
| 46 | +diag.add_field('atmosphere', 'precipitation', time_avg=True) |
| 47 | +diag.add_field('mixed_layer', 't_surf', time_avg=True) |
| 48 | +diag.add_field('mixed_layer', 'ice_conc', time_avg=True) |
| 49 | +diag.add_field('mixed_layer', 'flux_lhe', time_avg=True) |
| 50 | +diag.add_field('mixed_layer', 'flux_t', time_avg=True) |
| 51 | + |
| 52 | +# all-sky radiation fluxes at TOA and surface |
| 53 | +diag.add_field('socrates', 'soc_flux_lw', time_avg=True) |
| 54 | +diag.add_field('socrates', 'soc_flux_sw', time_avg=True) |
| 55 | +diag.add_field('socrates', 'soc_olr', time_avg=True) |
| 56 | +diag.add_field('socrates', 'soc_toa_sw', time_avg=True) |
| 57 | +diag.add_field('socrates', 'soc_toa_sw_up', time_avg=True) |
| 58 | +diag.add_field('socrates', 'soc_toa_sw_down', time_avg=True) |
| 59 | + |
| 60 | +diag.add_field('socrates', 'soc_surf_flux_lw', time_avg=True) |
| 61 | +diag.add_field('socrates', 'soc_surf_flux_sw', time_avg=True) |
| 62 | +diag.add_field('socrates', 'soc_surf_flux_lw_down', time_avg=True) |
| 63 | +diag.add_field('socrates', 'soc_surf_flux_sw_down', time_avg=True) |
| 64 | + |
| 65 | +# clear-sky radiation fluxes at TOA and surface |
| 66 | +diag.add_field('socrates', 'soc_olr_clr', time_avg=True) |
| 67 | +diag.add_field('socrates', 'soc_toa_sw_clr', time_avg=True) |
| 68 | +diag.add_field('socrates', 'soc_toa_sw_up_clr', time_avg=True) |
| 69 | +diag.add_field('socrates', 'soc_flux_lw_clr', time_avg=True) |
| 70 | +diag.add_field('socrates', 'soc_flux_sw_clr', time_avg=True) |
| 71 | + |
| 72 | +diag.add_field('socrates', 'soc_surf_flux_lw_clr', time_avg=True) |
| 73 | +diag.add_field('socrates', 'soc_surf_flux_sw_clr', time_avg=True) |
| 74 | +diag.add_field('socrates', 'soc_surf_flux_lw_down_clr', time_avg=True) |
| 75 | +diag.add_field('socrates', 'soc_surf_flux_sw_down_clr', time_avg=True) |
| 76 | + |
| 77 | +# Cloud related diagnostics |
| 78 | +diag.add_field('cloud_simple', 'cf', time_avg=True) |
| 79 | +diag.add_field('cloud_simple', 'reff_rad', time_avg=True) |
| 80 | +diag.add_field('cloud_simple', 'frac_liq', time_avg=True) |
| 81 | +diag.add_field('cloud_simple', 'qcl_rad', time_avg=True) |
| 82 | +diag.add_field('cloud_simple', 'rh_in_cf', time_avg=True) |
| 83 | +#diag.add_field('ls_cloud', 'rhcrit', time_avg=True) |
| 84 | + |
| 85 | +diag.add_field('cloud_cover', 'tot_cld_amt', time_avg=True) |
| 86 | +diag.add_field('cloud_cover', 'high_cld_amt', time_avg=True) |
| 87 | +diag.add_field('cloud_cover', 'mid_cld_amt', time_avg=True) |
| 88 | +diag.add_field('cloud_cover', 'low_cld_amt', time_avg=True) |
| 89 | +#diag.add_field('socrates', 'soc_tot_cloud_cover', time_avg=True) |
| 90 | + |
| 91 | +# Some intermediate outputs from marine strat clouds diag module |
| 92 | +# diag.add_field('strat_cloud', 'eis', time_avg=True) |
| 93 | +# diag.add_field('strat_cloud', 'ectei', time_avg=True) |
| 94 | +# diag.add_field('strat_cloud', 'lts', time_avg=True) |
| 95 | +# diag.add_field('strat_cloud', 'ELF', time_avg=True) |
| 96 | +# diag.add_field('strat_cloud', 'zlcl', time_avg=True) |
| 97 | +# diag.add_field('strat_cloud', 'z700', time_avg=True) |
| 98 | +# diag.add_field('strat_cloud', 'gamma700', time_avg=True) |
| 99 | +# diag.add_field('strat_cloud', 'gamma_DL', time_avg=True) |
| 100 | +# diag.add_field('strat_cloud', 'theta', time_avg=True) |
| 101 | +# diag.add_field('strat_cloud', 'dthdp', time_avg=True) |
| 102 | +# diag.add_field('strat_cloud', 'beta1', time_avg=True) |
| 103 | +# diag.add_field('strat_cloud', 'beta2', time_avg=True) |
| 104 | +# diag.add_field('strat_cloud', 'zinv', time_avg=True) |
| 105 | +# diag.add_field('strat_cloud', 'alpha', time_avg=True) |
| 106 | +# diag.add_field('strat_cloud', 'DS', time_avg=True) |
| 107 | +# diag.add_field('strat_cloud', 'IS', time_avg=True) |
| 108 | + |
| 109 | +exp.diag_table = diag |
| 110 | + |
| 111 | +# Empty the run directory ready to run |
| 112 | +exp.clear_rundir() |
| 113 | + |
| 114 | +exp.inputfiles = [os.path.join(GFDL_BASE, 'input/rrtm_input_files/ozone_1990.nc'), |
| 115 | + os.path.join(base_dir, 'input/era_land_t42_filtered.nc'), |
| 116 | + os.path.join(base_dir, 'input/sst_clim_amip.nc'), |
| 117 | + os.path.join(base_dir, 'input/siconc_clim_amip.nc')] |
| 118 | + |
| 119 | +# Define values for the 'core' namelist |
| 120 | +exp.namelist = Namelist({ |
| 121 | + 'main_nml':{ |
| 122 | + 'days' : 30, |
| 123 | + 'hours' : 0, |
| 124 | + 'minutes' : 0, |
| 125 | + 'seconds' : 0, |
| 126 | + 'dt_atmos': 720, # 600 |
| 127 | + 'current_date': [1,1,1,0,0,0], |
| 128 | + 'calendar': 'thirty_day' |
| 129 | + }, |
| 130 | + |
| 131 | + 'socrates_rad_nml': { |
| 132 | + 'stellar_constant': 1370., |
| 133 | + #'lw_spectral_filename': os.path.join(GFDL_BASE, 'src/atmos_param/socrates/src/trunk/data/spectra/ga7/sp_lw_ga7'), |
| 134 | + #'sw_spectral_filename': os.path.join(GFDL_BASE, 'src/atmos_param/socrates/src/trunk/data/spectra/ga7/sp_sw_ga7'), |
| 135 | + 'lw_spectral_filename': os.path.join(GFDL_BASE, 'src/atmos_param/socrates/src/trunk/data/spectra/ga3_1/sp_lw_ga3_1'), |
| 136 | + 'sw_spectral_filename': os.path.join(GFDL_BASE, 'src/atmos_param/socrates/src/trunk/data/spectra/ga3_1/sp_sw_ga3_0'), |
| 137 | + 'do_read_ozone': True, |
| 138 | + 'ozone_file_name' : 'ozone_1990', |
| 139 | + 'ozone_field_name': 'ozone_1990', |
| 140 | + 'dt_rad': 4320, # 3600, |
| 141 | + 'store_intermediate_rad': True, |
| 142 | + 'chunk_size': 16, |
| 143 | + 'use_pressure_interp_for_half_levels': False, |
| 144 | + 'tidally_locked': False, |
| 145 | + }, |
| 146 | + |
| 147 | + 'idealized_moist_phys_nml': { |
| 148 | + 'do_damping': True, |
| 149 | + 'turb': True, |
| 150 | + 'mixed_layer_bc': True, |
| 151 | + 'do_virtual': False, |
| 152 | + 'do_simple': True, |
| 153 | + 'roughness_mom' : 3.21e-05, |
| 154 | + 'roughness_heat' : 3.21e-05, |
| 155 | + 'roughness_moist': 3.21e-05, |
| 156 | + 'two_stream_gray': False, # Use the grey radiation scheme |
| 157 | + 'do_socrates_radiation': True, |
| 158 | + 'convection_scheme': 'SIMPLE_BETTS_MILLER', # Use simple Betts miller convection |
| 159 | + 'do_cloud_simple': True, # Turn on the cloud scheme switch |
| 160 | + 'land_option': 'input', |
| 161 | + 'land_file_name': 'INPUT/era_land_t42_filtered.nc', |
| 162 | + 'land_roughness_prefactor': 10.0, |
| 163 | + 'roughness_mom' : 2.e-04, # Ocean roughness lengths |
| 164 | + 'roughness_heat' : 2.e-04, # Ocean roughness lengths |
| 165 | + 'roughness_moist': 2.e-04, # Ocean roughness lengths |
| 166 | + 'bucket': True, # Run with the bucket model |
| 167 | + 'init_bucket_depth_land': 0.15, |
| 168 | + }, |
| 169 | + |
| 170 | + # Using linear cloud scheme option |
| 171 | + 'cloud_simple_nml': { |
| 172 | + 'do_qcl_with_temp': True, |
| 173 | + 'do_cloud_cover_diags': True, |
| 174 | + 'do_add_stratocumulus': True, |
| 175 | + 'reff_liq': 14, # Units: micron |
| 176 | + 'reff_ice': 25, # Units: micron |
| 177 | + 'qcl_val': 0.18, # Units: g/kg, not kg/kg |
| 178 | + }, |
| 179 | + |
| 180 | + 'large_scale_cloud_nml': { |
| 181 | + 'cf_diag_formula_name': 'linear', |
| 182 | + 'do_adjust_cld_by_omega': False, |
| 183 | + 'do_freezedry': True, |
| 184 | + 'qv_polar_val': 0.006, # Units: kg/kg |
| 185 | + 'freezedry_power': 2.5, |
| 186 | + 'do_fitted_rhcrit': False, |
| 187 | + 'linear_a_surf': 42, |
| 188 | + 'linear_a_top': 13, |
| 189 | + 'linear_power': 11, |
| 190 | + }, |
| 191 | + |
| 192 | + 'marine_strat_cloud_nml': { |
| 193 | + 'sc_diag_method': 'Park_ELF', |
| 194 | + 'intermediate_outputs_diags': False, |
| 195 | + 'dthdp_min_threshold': -0.08, |
| 196 | + 'park_a': 1.3, |
| 197 | + 'park_b': -0.1, |
| 198 | + }, |
| 199 | + |
| 200 | + 'cloud_cover_diag_nml':{ |
| 201 | + 'overlap_assumption': 'maximum-random', # or 'maximum', 'random' |
| 202 | + 'mid_cld_bottom': 7.0e4, |
| 203 | + 'high_cld_bottom': 4.0e4, |
| 204 | + 'cf_min': 0, |
| 205 | + }, |
| 206 | + |
| 207 | + 'vert_turb_driver_nml': { |
| 208 | + 'do_mellor_yamada': False, # default: True |
| 209 | + 'do_diffusivity': True, # default: False |
| 210 | + 'do_simple': True, # default: False |
| 211 | + 'constant_gust': 0.0, # default: 1.0 |
| 212 | + 'use_tau': False |
| 213 | + }, |
| 214 | + |
| 215 | + 'diffusivity_nml': { |
| 216 | + 'do_entrain': True, #False, |
| 217 | + 'do_simple': True, |
| 218 | + }, |
| 219 | + |
| 220 | + 'surface_flux_nml': { |
| 221 | + 'use_virtual_temp': False, |
| 222 | + 'do_simple': True, |
| 223 | + 'old_dtaudv': True, |
| 224 | + 'land_humidity_prefactor': 1, |
| 225 | + 'land_evap_prefactor': 0.6, |
| 226 | + #'ocean_evap_prefactor': 1, |
| 227 | + }, |
| 228 | + |
| 229 | + 'atmosphere_nml': { |
| 230 | + 'idealized_moist_model': True |
| 231 | + }, |
| 232 | + |
| 233 | + #Use a large mixed-layer depth, and the Albedo of the CTRL case in Jucker & Gerber, 2017 |
| 234 | + 'mixed_layer_nml': { |
| 235 | + 'tconst': 285., |
| 236 | + 'prescribe_initial_dist': True, |
| 237 | + 'evaporation': True, |
| 238 | + 'depth': 20.0, # Depth of mixed layer used |
| 239 | + 'land_option': 'input', # Tell mixed layer to get land mask from input file |
| 240 | + 'land_h_capacity_prefactor': 0.1, # What factor to multiply mixed-layer depth by over land. |
| 241 | + 'albedo_value': 0.12, # Ocean albedo value |
| 242 | + 'land_albedo_prefactor': 1.3, # What factor to multiply ocean albedo by over land |
| 243 | + 'do_qflux': False, # Don't use the prescribed analytical formula for q-fluxes |
| 244 | + 'do_read_sst': True, # Read in sst values from input file |
| 245 | + 'do_sc_sst': True, # Do specified ssts (need both to be true) |
| 246 | + 'sst_file': 'sst_clim_amip', # Set name of sst input file |
| 247 | + 'specify_sst_over_ocean_only': True, # Make sure sst only specified in regions of ocean. |
| 248 | + # Copy from realistic_continents namelist |
| 249 | + 'update_albedo_from_ice': True, # Use the simple ice model to update surface albedo |
| 250 | + 'ice_albedo_value': 0.7, # What value of albedo to use in regions of ice |
| 251 | + #'ice_concentration_threshold': 0.5, # ice concentration threshold above which to make albedo equal to ice_albedo_value |
| 252 | + 'ice_albedo_method': 'ramp_function', |
| 253 | + }, |
| 254 | + |
| 255 | + 'qe_moist_convection_nml': { |
| 256 | + 'rhbm': 0.7, |
| 257 | + 'Tmin': 160., |
| 258 | + 'Tmax': 350., |
| 259 | + }, |
| 260 | + |
| 261 | + 'lscale_cond_nml': { |
| 262 | + 'do_simple': True, |
| 263 | + 'do_evap': True, |
| 264 | + }, |
| 265 | + |
| 266 | + 'sat_vapor_pres_nml': { |
| 267 | + 'do_simple': True, |
| 268 | + 'construct_table_wrt_liq_and_ice': True, |
| 269 | + 'show_all_bad_values': True, |
| 270 | + }, |
| 271 | + |
| 272 | + 'damping_driver_nml': { |
| 273 | + 'do_rayleigh': True, |
| 274 | + 'trayfric': -0.5, # neg. value: time in *days* |
| 275 | + 'sponge_pbottom': 150., # Setting the lower pressure boundary for the model sponge layer in Pa. |
| 276 | + 'do_conserve_energy': True, |
| 277 | + }, |
| 278 | + |
| 279 | + # FMS Framework configuration |
| 280 | + 'diag_manager_nml': { |
| 281 | + 'mix_snapshot_average_fields': False # time avg fields are labelled with time in middle of window |
| 282 | + }, |
| 283 | + |
| 284 | + 'fms_nml': { |
| 285 | + 'domains_stack_size': 600000 # default: 0 |
| 286 | + }, |
| 287 | + |
| 288 | + 'fms_io_nml': { |
| 289 | + 'threading_write': 'single', # default: multi |
| 290 | + 'fileset_write': 'single', # default: multi |
| 291 | + }, |
| 292 | + |
| 293 | + 'spectral_dynamics_nml': { |
| 294 | + 'damping_order': 4, |
| 295 | + 'water_correction_limit': 200.e2, |
| 296 | + 'reference_sea_level_press': 1.0e5, |
| 297 | + 'num_levels': NUM_LEVELS, # How many model pressure levels to use |
| 298 | + 'valid_range_t': [100., 800.], |
| 299 | + 'initial_sphum': [2.e-6], |
| 300 | + 'vert_coord_option': 'uneven_sigma', |
| 301 | + 'surf_res': 0.03, # 0.2, # Parameter that sets the vertical distribution of sigma levels |
| 302 | + 'scale_heights': 11.0, |
| 303 | + 'exponent': 7.0, |
| 304 | + 'robert_coeff': 0.03, |
| 305 | + 'ocean_topog_smoothing': 0.8, |
| 306 | + }, |
| 307 | + |
| 308 | + 'spectral_init_cond_nml':{ |
| 309 | + 'topog_file_name': 'era_land_t42_filtered.nc', |
| 310 | + 'topography_option': 'input', |
| 311 | + }, |
| 312 | +}) |
| 313 | + |
| 314 | + |
| 315 | +if __name__=="__main__": |
| 316 | + |
| 317 | + cb.compile(debug=False) |
| 318 | + |
| 319 | + OVERWRITE = False |
| 320 | + |
| 321 | + # Set up the experiment object, with the first argument being the experiment name. |
| 322 | + # This will be the name of the folder that the data will appear in. |
| 323 | + exp.run(1, use_restart=False, num_cores=NCORES, overwrite_data=OVERWRITE) |
| 324 | + for i in range(2, 25): |
| 325 | + exp.run(i, num_cores=NCORES, overwrite_data=OVERWRITE) |
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