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

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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.
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