pyart.retrieve.compute_pol_variables_iq#

pyart.retrieve.compute_pol_variables_iq(radar, fields_list, subtract_noise=False, lag=0, direction='negative_away', phase_offset=0.0, signal_h_field=None, signal_v_field=None, noise_h_field=None, noise_v_field=None)[source]#

Computes the polarimetric variables from the IQ signals in ADU

Parameters:

  • radar (IQ radar object) – Object containing the required fields

  • fields_list (list of str) – list of fields to compute

  • subtract_noise (Bool) – If True noise will be subtracted from the signals

  • lag (int) – The time lag to use in the estimators

  • direction (str) – The convention used in the Doppler mean field. Can be negative_away or negative_towards

  • phase_offset (float. Dataset keyword) – The system differential phase offset to remove

  • signal_h_field, signal_v_field, noise_h_field, noise_v_field (str) – Name of the fields in radar which contains the signal and noise. None will use the default field name in the Py-ART configuration file.

Returns:

radar (radar object) – Object containing the computed fields