pyrad.proc.process_gc_monitoring#

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

computes ground clutter monitoring statistics

Parameters:

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

dscfg (dictionary of dictionaries) –

data set configuration. Accepted Configuration Keywords:

excessgatespath : str. Config keyword
    The path to the gates in excess of quantile location
excessgates_fname : str. Dataset keyword
    The name of the gates in excess of quantile file
datatype : list of string. Dataset keyword
    The input data types, it must contain
    "echoID" (Optional allows filter_prec),
    as well as any other fields supported by pyrad
step : float. Dataset keyword
    The width of the histogram bin. Default is None. In that case the
    default step in function get_histogram_bins is used
regular_grid : Boolean. Dataset keyword
    Whether the radar has a Boolean grid or not. Default False
val_min : Float. Dataset keyword
    Minimum value to consider that the gate has signal. Default None
filter_prec : str. Dataset keyword
    Give which type of volume should be filtered. None, no filtering;
    keep_wet, keep wet volumes; keep_dry, keep dry volumes.
rmax_prec : float. Dataset keyword
    Maximum range to consider when looking for wet gates [m]
percent_prec_max : float. Dataset keyword
    Maxim percentage of wet gates to consider the volume dry

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

Returns:

new_dataset (Radar) – radar object containing histogram data with fields corresponding to specified datatypes
ind_rad (int) – radar index