Articles | Volume 19, issue 4
https://doi.org/10.5194/nhess-19-907-2019
https://doi.org/10.5194/nhess-19-907-2019
Research article
 | 
18 Apr 2019
Research article |  | 18 Apr 2019

Impact of airborne cloud radar reflectivity data assimilation on kilometre-scale numerical weather prediction analyses and forecasts of heavy precipitation events

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

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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (02 Mar 2019) by Eric Martin
AR by Mary Borderies on behalf of the Authors (04 Mar 2019)  Author's response    Manuscript
ED: Publish as is (10 Mar 2019) by Eric Martin
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Short summary
The potential of W-band radar reflectivity to improve the quality of analyses and forecasts of heavy precipitation events in the Mediterranean area is investigated. The 1D + 3DVar assimilation method has been adapted to assimilate the W-band reflectivity in the Météo-France kilometre-scale NWP model AROME. The results suggest that the joint assimilation of W-band reflectivity and horizontal wind profiles lead to a slight improvement of moisture analyses and rainfall precipitation forecasts.
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