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Csu radartools tutorial

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Revision as of 20:32, 2 August 2021 by Bdolan (talk | contribs) (This is an example tutorial for quality controlling and processing a raw radar file using LROSE (RadX), CSU-Radartools, and PyART)
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Overview


This is a tutorial on how to use LROSE/RadX, DOE-PyART, and CSU-Radartools in a python script to quality control, grid, and process a raw C-band polarimetric radar file. We will apply a series of corrections

  • Unfold radial velocity
  • Calculate Kdp
  • Apply thresholds to remove non-meteorological data
  • Calculate the attenuation and differential attenuation
  • Despeckle and remove 2nd trip


Required Modules available from GitHub


First Step


import numpy as np
from copy import deepcopy
import pyart
from CSU_RadarTools.csu_radartools import csu_kdp
from CSU_RadarTools.csu_radartools import csu_misc

%matplotlib inline