The Convective Rainfall Rate from Cloud Physical Properties Algorithm for Meteosat Second-Generation Satellites: Microphysical Basis and Intercomparisons using an Object-Based Method

Remote Sensing

JuanManuel Sancho¹  Cecilia Marcos¹  FranciscoJ. Tapiador² 

[1] Agencia Estatal de Meteorología (AEMET), Headquarters. C/ Leonardo Prieto, 28071 Madrid, Spain;Earth and Space Science Research Group, Department of Environmental Sciences, Faculty of Environmental Sciences and Biochemistry, Institute of Environmental Sciences (ICAM), University of Castilla-La Mancha (UCLM), Avda. Carlos III s/n, 45071 Toledo, Spain;

关键词: precipitation;    microphysics;    convective precipitation;    meteosat second generation;   

DOI  :  10.3390/rs11050527

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown