Articles | Volume 19, issue 19
https://doi.org/10.5194/amt-19-6193-2026
https://doi.org/10.5194/amt-19-6193-2026
Research article
 | 
01 Oct 2026
Research article |  | 01 Oct 2026

Evaluation of a moist-adiabat cloud-top height retrieval for parallax correction of deep convective clouds across Meteosat generations

Andrzej Z. Kotarba

Viewed

Total article views: 1,382 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
961 314 107 1,382 105 115
  • HTML: 961
  • PDF: 314
  • XML: 107
  • Total: 1,382
  • BibTeX: 105
  • EndNote: 115
Views and downloads (calculated since 27 Apr 2026)
Cumulative views and downloads (calculated since 27 Apr 2026)

Viewed (geographical distribution)

Total article views: 1,382 (including HTML, PDF, and XML) Thereof 1,358 with geography defined and 24 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 11 Nov 2026
Download
Short summary
Deep convective clouds are difficult to locate precisely in weather satellite images due to viewing-angle distortions. We tested a method that estimates cloud-top heights from infrared temperature data alone — available on weather satellites for over 40 years without need for advanced sensors. The method proved accurate enough to correct these distortions, enabling consistent long-term storm cloud records across all generations of European weather satellites using a single, uniform approach.
Share
Altmetrics
Final-revised paper
Preprint