A machine-learning-based perspective on deep convective clouds and their organisation in 3D – Part 2: Spatial–temporal patterns of convective organisation

This series of papers explores spatio-temporal patterns of convective cloud occurrence and organisation. We use a machine-learning-based method to extrapolate a contiguous 3D cloud field of 2D satellite data. In Part 2, we focus on convective organisation in tropical West Africa between March and Au...

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Bibliographic Details
Published in:Atmospheric chemistry and physics 2025-09, Vol.25 (18), p.10797-10822
Main Authors: Brüning, Sarah, Tost, Holger
Format: Article
Language:English
Subjects:
Algorithms
Cloud properties
Clouds
Clustering
Convective clouds
Convective systems
Intertropical convergence zone
Learning algorithms
Life span
Machine learning
Northern Hemisphere
Rain
Regions
Satellite data
Time series
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