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

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

doi:https://doi.org/10.5194/amt-10-1557-2017

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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Final revised paper (published on 25 Apr 2017)
Preprint (discussion started on 29 Nov 2016)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Data driven clustering of rain events: microphysics information derived from macro scale observations Mohamed Djallel Dilmi, Cécile Mallet, Laurent Barthes, and Aymeric Chazottes', David Dunkerley, 29 Dec 2016
- AC1: 'Data driven clustering of rain events: microphysics information derived from macro scale observations', laurent barthes, 06 Feb 2017
RC2: 'Review', Anonymous Referee #2, 05 Jan 2017
- AC2: 'Data driven clustering of rain events: microphysics information derived from macro scale observations', laurent barthes, 06 Feb 2017
RC3: 'amt-2016-389 revision', Anonymous Referee #3, 11 Jan 2017
- AC3: 'Data driven clustering of rain events: microphysics information derived from macro scale observations', laurent barthes, 06 Feb 2017
RC4: 'A very interesting approach that could be transformative to practitioners', Anonymous Referee #4, 15 Jan 2017
- AC4: 'Data driven clustering of rain events: microphysics information derived from macro scale observations', laurent barthes, 06 Feb 2017
RC5: 'Review', Antonio Parodi, 15 Jan 2017
- AC5: 'Data driven clustering of rain events: microphysics information derived from macro scale observations', laurent barthes, 06 Feb 2017

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Anna Wenzel on behalf of the Authors (22 Mar 2017) Author's response

ED: Referee Nomination & Report Request started (22 Mar 2017) by Gianfranco Vulpiani

ED: Publish as is (29 Mar 2017) by Gianfranco Vulpiani

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.