pyrad.proc.process_svp

pyrad.proc.process_svp(procstatus, dscfg, radar_list=None)

Computes slanted 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
  angle : int or float
      If the radar object contains a PPI volume, the sweep number to
      use, if it contains an RHI volume the elevation angle.
      Default 0.
  ang_tol : float
      If the radar object contains an RHI volume, the tolerance in the
      elevation angle for the conversion into PPI. Default 1.
  lat, lon : float
      latitude and longitude of the point of interest [deg]
  latlon_tol : float
      tolerance in latitude and longitude in deg. Default 0.0005
  delta_rng, delta_azi : float
      maximum range distance [m] and azimuth distance [degree] from the
      central point of the svp containing data to average. Default 5000.
      and 10.
  hmax : float
      The maximum height to plot [m]. Default 10000.
  hres : float
      The height resolution [m]. Default 250.
  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 consider the data valid when
      performing the averaging. Default 1
  interp_kind : str
      type of interpolation when projecting to vertical grid: 'none',
      or 'nearest', etc. Default 'none'
      '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
  

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

Returns:

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

• ind_rad (int) – radar index

• Reference

• ———

• Bukovcic P., Zrnic D., Zhang G. 2017 (Winter Precipitation Liquid-Ice)

• Phase Transitions Revealed with Polarimetric Radar and 2DVD Observations

• in Central Oklahoma. JTECH vol. 56 pp 1345-1363