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

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Cited articles

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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.
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