PreprintArticleVersion 1Preserved in Portico This version is not peer-reviewed
The Convective Rainfall Rate from Cloud Physical Properties Algorithm for Meteosat Second Generation Satellites: Microphysical Basis and Intercomparisons using an Object-Based Method
Version 1
: Received: 3 January 2019 / Approved: 4 January 2019 / Online: 4 January 2019 (14:41:38 CET)
How to cite:
Tapiador, F.J.; Marcos, C.; Sancho, J.M. The Convective Rainfall Rate from Cloud Physical Properties Algorithm for Meteosat Second Generation Satellites: Microphysical Basis and Intercomparisons using an Object-Based Method. Preprints2019, 2019010048. https://doi.org/10.20944/preprints201901.0048.v1
Tapiador, F.J.; Marcos, C.; Sancho, J.M. The Convective Rainfall Rate from Cloud Physical Properties Algorithm for Meteosat Second Generation Satellites: Microphysical Basis and Intercomparisons using an Object-Based Method. Preprints 2019, 2019010048. https://doi.org/10.20944/preprints201901.0048.v1
Tapiador, F.J.; Marcos, C.; Sancho, J.M. The Convective Rainfall Rate from Cloud Physical Properties Algorithm for Meteosat Second Generation Satellites: Microphysical Basis and Intercomparisons using an Object-Based Method. Preprints2019, 2019010048. https://doi.org/10.20944/preprints201901.0048.v1
APA Style
Tapiador, F.J., Marcos, C., & Sancho, J.M. (2019). The Convective Rainfall Rate from Cloud Physical Properties Algorithm for Meteosat Second Generation Satellites: Microphysical Basis and Intercomparisons using an Object-Based Method. Preprints. https://doi.org/10.20944/preprints201901.0048.v1
Chicago/Turabian Style
Tapiador, F.J., Cecilia Marcos and Juan Manuel Sancho. 2019 "The Convective Rainfall Rate from Cloud Physical Properties Algorithm for Meteosat Second Generation Satellites: Microphysical Basis and Intercomparisons using an Object-Based Method" Preprints. https://doi.org/10.20944/preprints201901.0048.v1
Abstract
The Convective Rainfall Rate from Cloud Physical Properties (CRPh) 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 to Nowcasting and Very Short Range Forecasting (NWC SAF). It is therefore mainly intended to provide input for monitoring and near-real-time forecasts for the next few hours. This paper critically discusses the theoretical basis of the algorithm with special emphasis in the empirical values and assumptions in the microphysics of precipitation and compares the performances of the CRPh with its antecessor, the Convective Rainfall Rate algorithm (CRR), using an object-based method. The analyses show that AEMET’s CRPh is physically consistent and that outperforms the CRR. The applicability of the algorithm for nowcasting and the challenges to evolve the product to an all-day algorithm are also presented.
Keywords
precipitation; microphysics; convective precipitation; meteosat second generation
Subject
Environmental and Earth Sciences, Atmospheric Science and Meteorology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
