Articles | Volume 10, issue 4
https://doi.org/10.5194/amt-10-1557-2017
https://doi.org/10.5194/amt-10-1557-2017
Research article
 | 
25 Apr 2017
Research article |  | 25 Apr 2017

Data-driven clustering of rain events: microphysics information derived from macro-scale observations

Mohamed Djallel Dilmi, Cécile Mallet, Laurent Barthes, and Aymeric Chazottes

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Latest update: 02 Mar 2024
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Short summary
The concept of a rain event is used to obtain a parsimonious characterisation of rain events using a minimal subset of variables at macrophysical scale. A classification in five classes is obtained in a unsupervised way from this subset. Relationships between these classes of microphysical parameters of precipitation are highlighted. There are several implications especially for remote sensing in the context of weather radar applications and quantitative precipitation estimation.