Giulia Panegrossi, Jean-François Rysman, Daniele Casella, Anna Cinzia Marra, Paolo Sanò, and Mark S. Kulie published “CloudSat-based assessment of GPM Microwave Imager snowfall observation capabilities” in Remote Sensing on December 6, 2017.
doi:10.3390/rs9121263
The article describes a NASA Global Precipitation Measurement Microwave Imager (GMI) snowfall sensitivity study using CloudSat satellite radar data as evaluation dataset. The study illustrates complex high frequency microwave sensor signatures to snowfall events under different atmospheric conditions and microphysical composition. It defines environmental and snow-producing cloud composition thresholds where the 166 GHz GMI channel is sensitive to surface snowfall, thus providing useful guidance to improve GMI snowfall detection and estimation capabilities.