Airborne Radar Quality Control with Machine Learning

This repository contains the radar data collected by ELDORA required to train and test the random forest model discussed in "Airborne radar quality control with machine learning" by Alexander DesRosiers and Michael M. Bell at the Colorado State University Department of Atmospheric Science. The model used in the manuscript is also contained in a '.pkl' file. Upon publication, a link to the paper will be provided here. Finer points of the methodology were discussed in the manuscript and the python script (make_radarQC_rf_model.py) is commented to guide users through the process of creating the model.