Random Forest Cloud Model for Predicting Liquid Cloud Microphysical Properties from A-Train Data

Code for creating and analyzing the performance of a random forest model to predict cloud optical depth and cloud top effective radius from A-train satellite observations. Because of storage limitations, this directory does not include full satellite dataset, but the CloudSat data is available from the CloudSat Data Processing center (https://www.cloudsat.cira.colostate.edu/) and the CALIPSO data from NASA's Atmospheric Science Data Center (https://asdc.larc.nasa.gov/project/CALIPSO).