Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/14417
Efficiency of the NWC SAF Version 2021 CRRPh Precipitation Product: Comparison against Previous NWC SAF Precipitation Products and the Influence of Topography
Title: Efficiency of the NWC SAF Version 2021 CRRPh Precipitation Product: Comparison against Previous NWC SAF Precipitation Products and the Influence of Topography
Authors: Karagiannidis, AthanasiosLahuerta García, José AlbertoAutor AEMETCalbet, XavierLliso Valverde, LlorençAutor AEMETLagouvardos, KonstantinosKotroni, VassilikiRípodas Agudo, Pilar ORCID Autor AEMET
Keywords: Satellites; NWC SAF; Nowcasting; Precipitation; Estimation efficiency; Error statistics; Categorical statistics; Topography
Issue Date: 2023
Publisher: MDPI
Citation: Climate. 2023, 11(2), 34
Publisher version: https://doi.org/10.3390/cli11020034
Abstract: The algorithm of the Convective Rainfall Rate with Microphysical Properties (CRRPh) product of the 2021 version of the Nowcasting and Very Short Range Forecasting Satellite Application Facility (NWC SAF) presents innovative characteristics. It was developed employing principal components analysis to reduce the number of utilized parameters and uses the same mathematical scheme for day and night, simulating the missing visual channels and satellite-derived cloud water path information that is unavailable during nighttime. Applying adequate statistical methodologies and scores and using rain gauge data as ground truth, it is shown that the new algorithm appears to be significantly improved compared to its predecessors in regard to the delineation of the precipitation areas. In addition, it minimizes the day–night difference in the estimation efficiency, which is a remarkable achievement. The new product suffers from slightly higher errors in the precipitation accumulations. Finally, it is shown that topography does not seem to affect the estimation efficiency of the product. In light of these results, it is argued that, overall, the new algorithm outperforms its predecessors and, possibly after adequate adaptations, can be used as a real-time total precipitation product.
URI: http://hdl.handle.net/20.500.11765/14417
ISSN: 2225-1154
Appears in Collections:Artículos científicos 2023-2026


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