P8.13 The GOES-R hydrology algorithms part II: Rainfall potential

Thursday, 30 September 2010
ABC Pre-Function (Westin Annapolis)
Robert J. Kuligowski, NOAA/NESDIS, College Park, MD; and Z. Zhang and V. Lakshmanan

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 rainfall potential 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.
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