Varios productos de precipitación utilizan radiancias y reflectancias obtenidas del sensor SEVIRI (Spinning Enhanced Visible and Infrared Imager) para estimar la precipitación de caracter convectivo. Es sabido que el uso directo de estos valores en algoritmos de precipitación sobreestiman el área y subestiman la intensidad de precipitación. Para atenuar estos efectos, la versión más reciente (2013) del paquete de software NWC SAF/MSG (Satellite Application Facility on Support to Nowcasting & Very Short Range Forecasting) incluye un nuevo algoritmo diurno que se aprovecha de los avances en la estimación de los parámetros de microfísica de nubes, en particular un mejor conocimiento del Radio Efectivo (Reff), el espesor óptico de la nube (COT) y la fase del agua. El algoritmo mejorado, conocido como Intensidad de Precipitación Convectiva a partir de las Propiedades Físicas de la Nube (CRPh), utilitza estas propiedades de la Cima de la Nube (CPP) para estimar intensidades de precipitación de nubes convectivas usando la información de un píxel de SEVIRI (alrededor de 3 km en el nadir). Este trabajo presenta las novedades de este algoritmo, hace una comparación de los resultados con los de la versión anterior en el paquete NWC SAF/MSG y una validación con datos independientes provenientes de la red española de Radar operada por AEMET. Los resultados obtenidos para 46 tormentas sugieren que la CRPh proporciona estimaciones más precisas que el algoritmo anterior, siendo por tanto más útil para un cierto número de apliaciones cuantitativas.
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DOI
10.3369/tethys.2015.12.01
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