Articles | Volume 18, issue 8
https://doi.org/10.5194/amt-18-1927-2025
https://doi.org/10.5194/amt-18-1927-2025
Research article
 | 
29 Apr 2025
Research article |  | 29 Apr 2025

Algorithm for continual monitoring of fog based on geostationary satellite imagery

Babak Jahani, Steffen Karalus, Julia Fuchs, Tobias Zech, Marina Zara, and Jan Cermak

Viewed

Total article views: 1,502 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,198 220 84 1,502 71 92
  • HTML: 1,198
  • PDF: 220
  • XML: 84
  • Total: 1,502
  • BibTeX: 71
  • EndNote: 92
Views and downloads (calculated since 26 Apr 2024)
Cumulative views and downloads (calculated since 26 Apr 2024)

Viewed (geographical distribution)

Total article views: 1,502 (including HTML, PDF, and XML) Thereof 1,489 with geography defined and 13 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Nov 2025
Download
Short summary
Fog and low stratus (FLS) are both persistent clouds close to the Earth's surface. This study introduces a new machine-learning-based algorithm developed for the Meteosat Second Generation geostationary satellites that can provide a coherent and detailed view of FLS development over large areas over the 24 h day cycle.
Share