pyrad.proc.process_outlier_filter#

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

filters out gates which are outliers respect to the surrounding

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, can be any any data type supported by pyrad
threshold : float. Dataset keyword
    The distance between the value of the examined range gate and the
    median of the surrounding gates to consider the gate an outlier
nb : int. Dataset keyword
    The number of neighbours (to one side) to analyse. i.e. 2 would
    correspond to 24 gates
nb_min : int. Dataset keyword
    Minimum number of neighbouring gates to consider the examined gate
    valid
percentile_min, percentile_max : float. Dataset keyword
    gates below (above) these percentiles (computed over the sweep) are
    considered potential outliers and further examined

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

Returns:

new_dataset (dict) – dictionary containing the output, it will contain the corrected version of the provided datatypes For example dBZ -> dBZc, ZDR -> ZDRc, RhoHV -> RhoHVc
ind_rad (int) – radar index