pyrad.proc.process_phidp_kdp_Vulpiani#

pyrad.proc.process_phidp_kdp_Vulpiani(procstatus, dscfg, radar_list=None)[source]#

Computes specific differential phase and differential phase using the method developed by Vulpiani et al. The data is assumed to be clutter free and monotonous

Parameters:

procstatus (int) – Processing status: 0 initializing, 1 processing volume, 2 post-processing

dscfg (dictionary of dictionaries) –

data set configuration. Accepted Configuration Keywords:

datatype : list of string. Dataset keyword
    The input data types, must contain,
    "PhiDP" or "PhiDPc" or "uPhiDP"
rwind : float. Dataset keyword
    The length of the segment [m]. Default 2000.
n_iter : int. Dataset keyword
    number of iterations. Default 3.
interp : boolean. Dataset keyword
    if set non valid values are interpolated using neighbouring valid
    values. Default 0 (False)
parallel : boolean. Dataset keyword
    if set use parallel computing. Default 1 (True)
get_phidp : boolean. Datset keyword
    if set the PhiDP computed by integrating the resultant KDP is
    added to the radar field. Default 0 (False)
frequency : float. Dataset keyword
    the radar frequency [Hz]. If None that of the key
    frequency in attribute instrument_parameters of the radar
    object will be used. If the key or the attribute are not present
    it will be assumed that the radar is C band

radar_list (list of Radar objects) – Optional. list of radar objects

Returns:

new_dataset (dict) – dictionary containing the output field “PhiDPc” and “KDPc”
ind_rad (int) – radar index