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

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Andrzej Kotarba on behalf of the Authors (25 Mar 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (28 Mar 2025) by André Ehrlich
AR by Andrzej Kotarba on behalf of the Authors (31 Mar 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (31 Mar 2025) by André Ehrlich
AR by Andrzej Kotarba on behalf of the Authors (01 Apr 2025)
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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.
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