Articles | Volume 25, issue 18
https://doi.org/10.5194/acp-25-10773-2025
https://doi.org/10.5194/acp-25-10773-2025
Research article
 | 
19 Sep 2025
Research article |  | 19 Sep 2025

A machine-learning-based perspective on deep convective clouds and their organisation in 3D – Part 1: Influence of deep convective cores on the cloud life cycle

Sarah Brüning and Holger Tost

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Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Sarah Brüning on behalf of the Authors (23 May 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (26 May 2025) by Guy Dagan
RR by Anonymous Referee #2 (06 Jun 2025)
RR by Thomas DeWitt (02 Jul 2025)
ED: Publish as is (03 Jul 2025) by Guy Dagan
AR by Sarah Brüning on behalf of the Authors (08 Jul 2025)  Author's response   Manuscript 
Short summary
This study analyses the temporal variability and life cycle of 3D convective clouds characteristics in the tropics. We derive the data from a machine-learning-based 3D extrapolation of high-resolution 2D satellite data and an object-based detection algorithm. Cloud properties are not only affected by the surface type. Instead, our findings highlight the impact of convective cores on horizontal and vertical cloud and core properties and a potential prolonging of the cloud life cycle.
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