pyrad.proc.process_turbulence

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

Computes turbulence from the Doppler spectrum width and reflectivity using the PyTDA package

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 input data type
  radius : float. Dataset keyword
      Search radius for calculating Eddy Dissipation Rate (EDR).
      Default 2
  split_cut : Bool. Dataset keyword
      Set to True for split-cut volumes. Default False
  max_split_cut : Int. Dataset keyword
      Total number of tilts that are affected by split cuts. Only
      relevant if split_cut=True. Default 2
  xran, yran : float array. Dataset keyword
      Spatial range in X,Y to consider. Default [-100, 100] for both
      X and Y
  use_ntda : Bool. Dataset keyword
      Wether to use NCAR Turbulence Detection Algorithm (NTDA). Default
      True
  beamwidth : Float. Dataset keyword
      Radar beamwidth. Default None. If None it will be obtained from
      the radar object metadata. If cannot be obtained defaults to 1
      deg.
  compute_gate_pos : Bool. Dataset keyword
      If True the gate position is going to be computed in PyTDA.
      Otherwise the position from the radar object is used. Default
      False
  verbose : Bool. Dataset keyword
      True for verbose output. Default False
  

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

Returns:

• new_dataset (dict) – dictionary containing the output

• ind_rad (int) – radar index