Articles | Volume 22, issue 10
Hydrol. Earth Syst. Sci., 22, 5403–5426, 2018
https://doi.org/10.5194/hess-22-5403-2018
Hydrol. Earth Syst. Sci., 22, 5403–5426, 2018
https://doi.org/10.5194/hess-22-5403-2018

Research article 19 Oct 2018

Research article | 19 Oct 2018

Analysis of the streamflow extremes and long-term water balance in the Liguria region of Italy using a cloud-permitting grid spacing reanalysis dataset

Francesco Silvestro et al.

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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) (14 Nov 2017) by Patricia Saco
AR by Francesco Silvestro on behalf of the Authors (22 Dec 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (05 Jan 2018) by Patricia Saco
RR by Anonymous Referee #1 (06 Feb 2018)
RR by Anonymous Referee #3 (05 Apr 2018)
ED: Publish subject to revisions (further review by editor and referees) (21 Apr 2018) by Patricia Saco
AR by Francesco Silvestro on behalf of the Authors (25 May 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (16 Jun 2018) by Patricia Saco
RR by Anonymous Referee #1 (28 Jun 2018)
RR by Anonymous Referee #3 (24 Jul 2018)
ED: Publish subject to minor revisions (review by editor) (09 Aug 2018) by Patricia Saco
AR by Lorena Grabowski on behalf of the Authors (29 Aug 2018)  Author's response
ED: Publish as is (14 Sep 2018) by Patricia Saco
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Short summary
In this work we adopted a high-resolution meteorological reanalysis dataset together with a rainfall downscaling algorithm and a rainfall bias correction technique in order to produce input for a hydrological model; the resulting modeling chain allows the production of long time series of distributed hydrological variables in the Liguria region of Italy, located in the northern part of Italy. The aim is to evaluate how such a kind of modeling chain is able to reproduce the hydrology in an area.