pyrad.proc.process_rqvp#

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

Computes range defined quasi vertical profiles, by averaging over height levels PPI data.

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

  • dscfg (dictionary of dictionaries) –

    data set configuration. Accepted Configuration Keywords:

    datatype : string. Dataset keyword
        The data type where we want to extract the point measurement,
        can be any datatype supported by pyrad and available in the data
    hmax : float
        The maximum height to plot [m]. Default 10000.
    hres : float
        The height resolution [m]. Default 2.
    avg_type : str
        The type of averaging to perform. Can be either "mean" or "median"
        Default "mean"
    nvalid_min : int
        Minimum number of valid points to accept average. Default 30.
    interp_kind : str
        type of interpolation when projecting to vertical grid: 'none',
        or 'nearest', etc. Default 'nearest'
        'none' will select from all data points within the regular grid
        height bin the closest to the center of the bin.
        'nearest' will select the closest data point to the center of the
        height bin regardless if it is within the height bin or not.
        Data points can be masked values
        If another type of interpolation is selected masked values will be
        eliminated from the data points before the interpolation
    rmax : float
        ground range up to which the data is intended for use [m].
        Default 50000.
    weight_power : float
        Power p of the weighting function 1/abs(grng-(rmax-1))**p given to
        the data outside the desired range. -1 will set the weight to 0.
        Default 2.
    
  • radar_list (list of Radar objects) – Optional. list of radar objects

Returns:

  • new_dataset (dict) – dictionary containing the QVP and a keyword stating whether the processing has finished or not.

  • ind_rad (int) – radar index

  • Reference

  • ———

  • Tobin D.M., Kumjian M.R. 2017 (Polarimetric Radar and Surface-Based)

  • Precipitation-Type Observations of ice Pellet to Freezing Rain

  • Transitions. Weather and Forecasting vol. 32 pp 2065-2082