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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.
Highlights
Nowcasting is very important for practical meteorological applications such as flash flood alerting [1], human health advice [2], aviation safety [3], renewable energy operations [4] and infrastructure management [5]
The nowcasting and very short-range forecasting (NWC Satellite Application Facility (SAF)) is being developed by a consortium of National Meteorological Services composed by the Spanish Agencia Estatal de Meteorología (AEMET), Météo France, the Swedish Meteorological and Hydrological Institute (SMHI), the Central Institution for Meteorology and Geodynamics of Austria (ZAMG), and Meteo Romania
The Spanish Meteorological Agency (AEMET) has developed an algorithm which is intended to improve the nowcasting of precipitation in convective events—the convective rainfall rate from cloud physical properties (CRPh) algorithm
Summary
Nowcasting is very important for practical meteorological applications such as flash flood alerting [1], human health advice [2], aviation safety [3], renewable energy operations [4] and infrastructure management [5]. Its aims are providing an advanced, robust and reliable software system to support both operational and research activities in nowcasting and very short-range forecasting, as well as providing support services to final users. The NWC SAF is being developed by a consortium of National Meteorological Services composed by the Spanish Agencia Estatal de Meteorología (AEMET), Météo France, the Swedish Meteorological and Hydrological Institute (SMHI), the Central Institution for Meteorology and Geodynamics of Austria (ZAMG), and Meteo Romania. The Spanish Meteorological Agency (AEMET) has developed an algorithm which is intended to improve the nowcasting of precipitation in convective events—the convective rainfall rate from cloud physical properties (CRPh) algorithm. The CRPh is integrated in the NWC SAF software application
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