Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/11524
The convective rainfall rate from cloud physical properties algorithm for meteosat second-generation satellites: microphysical basis and intercomparisons using an object-based method
Title: The convective rainfall rate from cloud physical properties algorithm for meteosat second-generation satellites: microphysical basis and intercomparisons using an object-based method
Authors: Tapiador, Francisco J.Marcos Martín, Cecilia ORCID RESEARCHERID Autor AEMETSancho Ávila, Juan Manuel ORCID RESEARCHERID Autor AEMET
Keywords: Precipitation; Microphysics; Convective precipitation; Meteosat second generation
Issue Date: 2019
Publisher: MDPI
Citation: Remote Sensing. 2019, 11(5), 527
Publisher version: https://dx.doi.org/10.3390/rs11050527
Abstract: The convective rainfall rate from cloud physical properties (CRPh) algorithm for Meteosat second-generation satellites is a day-only precipitation algorithm developed at the Spanish Meteorological Agency (AEMET) for EUMETSAT’ Satellite Application Facility in support of nowcasting and very short-range forecasting (NWC SAF). It is therefore mainly intended to provide input for monitoring and near-real-time forecasts for a few hours. This letter critically discusses the theoretical basis of the algorithm with special emphasis on the empirical values and assumptions in the microphysics of precipitation, and compares the qualitative performances of the CRPh with its antecessor, the convective rainfall rate algorithm (CRR), using an object-based method applied to a case-study. The analyses show that AEMET’s CRPh is physically consistent and outperforms the CRR. The applicability of the algorithm for nowcasting and the challenges of improving the product to an all-day algorithm are also presented.
URI: http://hdl.handle.net/20.500.11765/11524
ISSN: 2072-4292
Appears in Collections:Artículos científicos 2019-2020


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