A 16-km snowfall rate product (SFR) has been developed at NESDIS/STAR with funding through the Joint Polar Satellite System (JPSS) Proving Ground and Product System Development and Implementation (PSDI). The algorithm uses data from polar-orbiting microwave sensors: four Advanced Microwave Sounding Unit-A (AMSU-A)/Microwave Humidity Sounder (MHS) pairs and one Advanced Technology Microwave Sounder (ATMS) aboard NOAA POES, EUMETSAT Metop, and S-NPP satellites, respectively. The SFR is able to provide quantitative snowfall information to complement snowfall observations or estimates from other sources (stations, radar, GOES imagery data etc.), and to fill observational gaps in mountains and remote regions where radar and weather stations are sparse or radar blockage and overshooting are common.
This poster will show how the SFR can be used to enhance verification for experimental probabilistic snowfall rate forecasts created using experimental snowfall rate guidance in the WPC-HMT.