Articles | Volume 19, issue 4
https://doi.org/10.5194/nhess-19-821-2019
https://doi.org/10.5194/nhess-19-821-2019
Research article
 | 
17 Apr 2019
Research article |  | 17 Apr 2019

Assimilation of wind data from airborne Doppler cloud-profiling radar in a kilometre-scale NWP system

Mary Borderies, Olivier Caumont, Julien Delanoë, Véronique Ducrocq, and Nadia Fourrié

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (26 Jan 2019) by Eric Martin
AR by Mary Borderies on behalf of the Authors (28 Jan 2019)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (02 Feb 2019) by Eric Martin
RR by Anonymous Referee #1 (14 Feb 2019)
ED: Publish subject to minor revisions (review by editor) (16 Feb 2019) by Eric Martin
AR by Mary Borderies on behalf of the Authors (18 Feb 2019)  Author's response   Manuscript 
ED: Publish as is (02 Mar 2019) by Eric Martin
AR by Mary Borderies on behalf of the Authors (22 Mar 2019)  Manuscript 
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Short summary
The study reports on the impact of the assimilation of wind data from airborne Doppler cloud-profiling radar in a kilometre-scale NWP model on predicting heavy precipitation events in the Mediterranean area. The positive impact of the assimilation of such data is particularly evidenced for a heavy precipitation event and results are slightly encouraging over a 45-day period. In addition, the impact of the length of the assimilation window in a 3h-3DVar assimilation system is investigated.
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