pyrad.proc.process_spectral_noise#

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

Computes the spectral noise

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,
        "ShhADU" or "SvvADU" or "ShhADUu" or "SvvADUu"
    units : str
        The units of the returned signal. Can be 'ADU', 'dBADU' or 'dBm'
    navg : int
        Number of spectra averaged
    rmin : int
        Range from which the data is used to estimate the noise
    nnoise_min : int
        Minimum number of samples to consider the estimated noise power
        valid
    
  • radar_list (list of spectra objects) – Optional. list of spectra objects

Returns:

  • new_dataset (dict) –

    dictionary containing the output field

    ”sNADUh” or “sNADUv” or “sNdBADUh” or “sNdBADUv” or “sNdBmh” or “sNdBmv” depending on which input datatype and units were provided

  • ind_rad (int) – radar index