emc2.simulator.main.make_simulated_data¶
- emc2.simulator.main.make_simulated_data(model, instrument, N_columns, do_classify=False, unstack_dims=False, skip_subcol_gen=False, finalize_fields=False, calc_spectral_width=True, subcol_gen_only=False, **kwargs)[source]¶
This procedure will make all of the subcolumns and simulated data for each model column.
NOTE: When starting a parallel task (in microphysics approach), it is recommended to wrap the top-level python script calling the EMC^2 processing (‘lines_of_code’) with the following command (just below the ‘import’ statements):
if __name__ == “__main__”: lines_of_code
- Parameters:
- model: :func:`emc2.core.Model`
The model to make the simulated parameters for.
- instrument: :func:`emc2.core.Instrument`
The instrument to make the simulated parameters for.
- N_columns: int or None
The number of subcolumns to generate. Set to None to automatically detect from LES 4D data.
- do_classify: bool
run hydrometeor classification routines when True.
- unstack_dims: bool
True - unstack the time, lat, and lon dimensions after processing in cases of regional model output.
- skip_subcol_gen: bool
True - skip the subcolumn generator (e.g., in case subcolumn were already generated).
- finalize_fields: bool
True - set absolute 0 values in”sub_col”-containing fields to np.nan enabling analysis and visualization.
- calc_spectral_width: bool
If False, skips spectral width calculations since these are not always needed for an application and are the most computationally expensive. Default is True.
- subcol_gen_only: bool
If True, only returns mass and number distributed among subcolumns and skips moment calculations
- Additional keyword arguments are passed into :func:`emc2.simulator.calc_lidar_moments` or
- :func:`emc2.simulator.calc_radar_moments`
- Returns:
- model:
emc2.core.Model() The model with all of the simulated parameters generated.
- model: