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

Viewed

Total article views: 1,117 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
938 141 38 1,117 35 29
  • HTML: 938
  • PDF: 141
  • XML: 38
  • Total: 1,117
  • BibTeX: 35
  • EndNote: 29
Views and downloads (calculated since 15 Feb 2024)
Cumulative views and downloads (calculated since 15 Feb 2024)

Viewed (geographical distribution)

Total article views: 1,117 (including HTML, PDF, and XML) Thereof 1,110 with geography defined and 7 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 05 Dec 2024
Download
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.