emc2.simulator.radar_moments.calc_radar_micro¶
- emc2.simulator.radar_moments.calc_radar_micro(instrument, model, z_values, atm_ext, OD_from_sfc=True, hyd_types=None, mie_for_ice=True, parallel=True, chunk=None, calc_spectral_width=True, **kwargs)[source]¶
Calculates the first 3 radar moments (reflectivity, mean Doppler velocity and spectral width) in a given column for the given radar using the microphysics (MG2) logic.
- Parameters:
- instrument: Instrument
The instrument to simulate. The instrument must be a lidar.
- model: Model
The model to generate the parameters for.
- z_values: ndarray
model output height array in m.
- atm_ext: ndarray
atmospheric attenuation per layer (dB/km).
- OD_from_sfc: bool
If True, then calculate optical depth from the surface.
- hyd_types: list or None
list of hydrometeor names to include in calcuation. using default Model subclass types if None.
- mie_for_ice: bool
If True, using full mie caculation LUTs. Otherwise, currently using the C6 scattering LUTs for 8-column severly roughned aggregate.
- parallel: bool
If True, use parallelism in calculating lidar parameters.
- chunk: int or None
The number of entries to process in one parallel loop. None will send all of the entries to the Dask worker queue at once. Sometimes, Dask will freeze if too many tasks are sent at once due to memory issues, so adjusting this number might be needed if that happens.
- 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.
- Additonal keyword arguments are passed into
- :py:func:`emc2.simulator.psd.calc_mu_lambda`.
- :py:func:`emc2.simulator.lidar_moments.accumulate_attenuation`.
- Returns:
- model:
emc2.core.Model() The model with the added simulated lidar parameters.
- model: