Articles | Volume 21, issue 11
Hydrol. Earth Syst. Sci., 21, 5459–5476, 2017
https://doi.org/10.5194/hess-21-5459-2017
Hydrol. Earth Syst. Sci., 21, 5459–5476, 2017
https://doi.org/10.5194/hess-21-5459-2017

Research article 07 Nov 2017

Research article | 07 Nov 2017

Impact of multiple radar reflectivity data assimilation on the numerical simulation of a flash flood event during the HyMeX campaign

Ida Maiello et al.

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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) (16 Nov 2016) by Hannah Cloke
AR by Ida Maiello on behalf of the Authors (16 Nov 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (17 Nov 2016) by Hannah Cloke
RR by Anonymous Referee #2 (16 Dec 2016)
RR by Anonymous Referee #1 (20 Dec 2016)
ED: Publish subject to revisions (further review by Editor and Referees) (06 Jan 2017) by Hannah Cloke
AR by Ida Maiello on behalf of the Authors (17 Feb 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (06 Mar 2017) by Hannah Cloke
RR by Anonymous Referee #1 (04 Apr 2017)
ED: Publish subject to revisions (further review by Editor and Referees) (21 Apr 2017) by Hannah Cloke
AR by Ida Maiello on behalf of the Authors (01 Jun 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (19 Jun 2017) by Hannah Cloke
RR by Anonymous Referee #1 (16 Jul 2017)
ED: Publish subject to minor revisions (further review by Editor) (09 Aug 2017) by Hannah Cloke
AR by Ida Maiello on behalf of the Authors (19 Aug 2017)  Author's response    Manuscript
ED: Publish as is (26 Sep 2017) by Hannah Cloke
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Short summary
In this paper the impact of multiple radar reflectivity data assimilation on a flash flood event occurred during SOP1 of the HyMeX campaign has been evaluated: the aim is to build a regionally tuned numerical prediction model and decision-support system for environmental civil protection services within the central Italian regions. The results are encouraging, but a significant number of flash flood cases and a deeper analysis of the meteorology of the region are necessary.