Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 19, issue 19
Articles | Volume 19, issue 19
https://doi.org/10.5194/amt-19-6193-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-19-6193-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 19
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: 980 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
690 210 80 980 80 85
  • HTML: 690
  • PDF: 210
  • XML: 80
  • Total: 980
  • BibTeX: 80
  • EndNote: 85
Views and downloads (calculated since 27 Apr 2026)
Cumulative views and downloads (calculated since 27 Apr 2026)

Viewed (geographical distribution)

Total article views: 980 (including HTML, PDF, and XML) Thereof 956 with geography defined and 24 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 21 Oct 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.
Read more
Share