Articles | Volume 18, issue 12
https://doi.org/10.5194/amt-18-2721-2025
https://doi.org/10.5194/amt-18-2721-2025
Research article
 | 
26 Jun 2025
Research article |  | 26 Jun 2025

Satellite-based detection of deep-convective clouds: the sensitivity of infrared methods and implications for cloud climatology

Andrzej Z. Kotarba and Izabela Wojciechowska

Viewed

Total article views: 1,610 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,128 389 93 1,610 78 92
  • HTML: 1,128
  • PDF: 389
  • XML: 93
  • Total: 1,610
  • BibTeX: 78
  • EndNote: 92
Views and downloads (calculated since 16 Jan 2025)
Cumulative views and downloads (calculated since 16 Jan 2025)

Viewed (geographical distribution)

Total article views: 1,610 (including HTML, PDF, and XML) Thereof 1,581 with geography defined and 29 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Apr 2026
Download
Short summary
The research investigates methods for detecting deep convective clouds (DCCs) using satellite infrared data, essential for understanding long-term climate trends. By validating three popular detection methods against lidar–radar data, it found moderate accuracy (below 75 %), emphasizing the importance of fine-tuning thresholds regionally. The study shows how small threshold changes significantly affect the climatology of severe storms.
Share