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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union

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Atmos. Meas. Tech., 10, 1557-1574, 2017
http://www.atmos-meas-tech.net/10/1557/2017/
doi:10.5194/amt-10-1557-2017
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
25 Apr 2017
Data-driven clustering of rain events: microphysics information derived from macro-scale observations
Mohamed Djallel Dilmi et al.
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - 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 Printer-friendly Version 
AC1: 'Data driven clustering of rain events: microphysics information derived from macro scale observations', laurent barthes, 06 Feb 2017 Printer-friendly Version Supplement 
 
RC2: 'Review', Anonymous Referee #2, 05 Jan 2017 Printer-friendly Version 
AC2: 'Data driven clustering of rain events: microphysics information derived from macro scale observations', laurent barthes, 06 Feb 2017 Printer-friendly Version Supplement 
 
RC3: 'amt-2016-389 revision', Anonymous Referee #3, 11 Jan 2017 Printer-friendly Version 
AC3: 'Data driven clustering of rain events: microphysics information derived from macro scale observations', laurent barthes, 06 Feb 2017 Printer-friendly Version Supplement 
 
RC4: 'A very interesting approach that could be transformative to practitioners', Anonymous Referee #4, 15 Jan 2017 Printer-friendly Version 
AC4: 'Data driven clustering of rain events: microphysics information derived from macro scale observations', laurent barthes, 06 Feb 2017 Printer-friendly Version Supplement 
 
RC5: 'Review', Antonio Parodi, 15 Jan 2017 Printer-friendly Version 
AC5: 'Data driven clustering of rain events: microphysics information derived from macro scale observations', laurent barthes, 06 Feb 2017 Printer-friendly Version Supplement 
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
Publications Copernicus
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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.
The concept of a rain event is used to obtain a parsimonious characterisation of rain events...
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