Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 17, issue 13
Articles | Volume 17, issue 13
https://doi.org/10.5194/amt-17-4015-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-17-4015-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 13
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: 4,198 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,230 786 182 4,198 225 304
  • HTML: 3,230
  • PDF: 786
  • XML: 182
  • Total: 4,198
  • BibTeX: 225
  • EndNote: 304
Views and downloads (calculated since 15 Feb 2024)
Cumulative views and downloads (calculated since 15 Feb 2024)

Viewed (geographical distribution)

Total article views: 4,198 (including HTML, PDF, and XML) Thereof 4,177 with geography defined and 21 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 19 Sep 2026
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.
Read more
Share
Special issue
The tropopause region in a changing atmosphere (TPChange)...