pyrad.proc.process_time_avg_std#

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

computes the average and standard deviation of data. It looks only for gates where data is present.

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, it must contain
    "echoID" (Optional allows filter_prec),
    "dBZ" or "dBZc" or "dBZv" or "dBZvc" or "dBuZ" or "dBuZc" (Optional, allows val_min)
    as well as any other fields supported by pyrad
regular_grid : Boolean. Dataset keyword
    Whether the radar has a Boolean grid or not. Default False
rmin, rmax : float. Dataset keyword
    minimum and maximum ranges where the computation takes place. If
    -1 the whole range is considered. Default is -1
val_min : Float. Dataset keyword
    Minimum reflectivity 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
lin_trans : Boolean. Dataset keyword
    If True the data will be transformed into linear units. Default
    False

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

Returns:

  • new_dataset (dict) – dictionary containing the average and standard deviation for every field specified as datatype

  • ind_rad (int) – radar index