emc2.simulator (emc2.simulator)

This module contains all of the calculations used by the radar/lidar simulator in EMC^2.

attenuation.calc_radar_atm_attenuation(...)	This function calculates atmospheric attenuation due to water vapor and O2 for a given model column.
attenuation.calc_theory_beta_m(model, Lambda)	This calculates the molecular scattering parameters for a given model.
attenuation.calc_radar_Ze_min(instrument, model)	This function calculates the minimum detectable radar signal (Ze_min) profile given radar detectability at a reference range.
classification.lidar_classify_phase(...[, ...])	Phase classification based on fixed thresholds of a lidar's LDR and tot beta_p variables.
classification.radar_classify_phase(...[, ...])	Phase classification based on cloud occurrence and Ze_min threshold (equivalent
classification.lidar_emulate_cosp_phase(...)	Phase classification method to emulate COSP based on attenuated total backscatter
classification.calculate_phase_ratio(model, ...)	Calculate time-height phase ratio field of subcolumn hydrometeor mask for a given class(es).
psd.calc_mu_lambda(model[, hyd_type, ...])	This method calculated the Gamma PSD parameters following Morrison and Gettelman (2008).
psd.calc_velocity_nssl(dmax, rhoe, hyd_type)	Calculate the terminal velocity according to the NSSL 2-moment scheme.
radar_moments.calc_total_reflectivity(model)	This method calculates the total (convective + stratiform) reflectivity (Ze).
radar_moments.accumulate_attenuation(model, ...)	Accumulates atmospheric and condensate radar attenuation (linear units) from TOA or the surface.
radar_moments.calc_radar_empirical(...[, ...])	Calculates the radar stratiform or convective reflectivity and attenuation in a sub-columns using empirical formulation from literature.
radar_moments.calc_radar_bulk(instrument, ...)	Calculates the radar stratiform or convective reflectivity and attenuation in a sub-columns using bulk scattering LUTs assuming geometric scatterers (radiation scheme logic).
radar_moments.calc_radar_micro(instrument, ...)	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.
radar_moments.calc_radar_moments(instrument, ...)	Calculates the reflectivity, doppler velocity, and spectral width in a given column for the given radar.
lidar_moments.calc_total_alpha_beta(model[, ...])	Calculates total (strat+conv) lidar variables.
lidar_moments.calc_LDR_and_ext(model[, ...])	Calculates the lidar extinction mask (for conv+strat) and linear depolarization ratio (per strat, conv, and strat+conv) for the given model and lidar.
lidar_moments.accumulate_OD(model, is_conv, ...)	Accumulates optical thickness from TOA or the surface.
lidar_moments.calc_lidar_empirical(...[, ...])	Calculates the lidar stratiform or convective backscatter, extinction, and optical depth in a sub-columns using empirical formulation from literature.
lidar_moments.calc_lidar_bulk(instrument, ...)	Calculates the lidar stratiform or convective backscatter, extinction, and optical depth in a sub-columns using bulk scattering LUTs assuming geometric scatterers (radiation scheme logic).
lidar_moments.calc_lidar_micro(instrument, ...)	Calculates the lidar backscatter, extinction, and optical depth in a given column for the given lidar using the microphysics (MG2) logic.
lidar_moments.calc_lidar_moments(instrument, ...)	Calculates the lidar backscatter, extinction, and optical depth in a given column for the given lidar.
main.make_simulated_data(model, instrument, ...)	This procedure will make all of the subcolumns and simulated data for each model column.
subcolumn.set_convective_sub_col_frac(model, ...)	Sets the hydrometeor fraction due to convection in each subcolumn.
subcolumn.set_stratiform_sub_col_frac(model)	Sets the hydrometeor fraction due to stratiform cloud particles in each subcolumn.
subcolumn.set_precip_sub_col_frac(model, is_conv)	Sets the hydrometeor fraction due to precipitation in each subcolumn.
subcolumn.set_q_n(model, hyd_type[, ...])	This function distributes the mixing ratio and number concentration into the subcolumns.