Articles | Volume 17, issue 13
https://doi.org/10.5194/amt-17-4015-2024
https://doi.org/10.5194/amt-17-4015-2024
Research article
 | 
08 Jul 2024
Research article |  | 08 Jul 2024

Bayesian cloud-top phase determination for Meteosat Second Generation

Johanna Mayer, Luca Bugliaro, Bernhard Mayer, Dennis Piontek, and Christiane Voigt

Data sets

ERA5 hourly data on single levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.adbb2d47

High Rate SEVIRI Level 1.5 Image Data - MSG - 0 degree EUMETSAT https://user.eumetsat.int/catalogue/EO:EUM:DAT:MSG:HRSEVIRI

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Short summary
ProPS (PRObabilistic cloud top Phase retrieval for SEVIRI) is a method to detect clouds and their thermodynamic phase with a geostationary satellite, distinguishing between clear sky and ice, mixed-phase, supercooled and warm liquid clouds. It uses a Bayesian approach based on the lidar–radar product DARDAR. The method allows studying cloud phases, especially mixed-phase and supercooled clouds, rarely observed from geostationary satellites. This can be used for comparison with climate models.