P8.14
The GOES-R hydrology algorithms part III: Probability of rainfall
Robert J. Kuligowski, NOAA/NESDIS, Camp Springs, MD
The Advanced Baseline Imager (ABI) onboard the Geostationary Operational Environmental Satellite (GOES)-R platform will offer improved spatial and spectral resolution and temporal sampling, all of which should lead to enhanced capabilities for satellite-based rainfall estimation and nowcasting. The Hydrology Algorithm Team (AT), which is part of the GOES-R Algorithm Working Group (AWG), has recommended, developed, and demonstrated algorithms for the operational production of three GOES-R products: rainfall rate, rainfall potential, and probability of rainfall. This poster will describe the probability of rainfall algorithm, report on validation performed using proxy data from the METEOSAT Spinning Enhanced Visible Infra-Red Imager (SEVIRI) over Europe and Africa and surrounding oceans, and outline future plans for additional algorithm validation and improvements prior to operational implementation.
Poster Session 8, Next-Generation Satellite Observing Systems - Posters
Thursday, 30 September 2010, 2:30 PM-4:00 PM, ABC Pre-Function
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