Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 10, issue 4
Articles | Volume 10, issue 4
https://doi.org/10.5194/amt-10-1557-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-10-1557-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 10, issue 4
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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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.
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