Articles | Volume 19, issue 1
Research article
07 Jan 2019
Research article |  | 07 Jan 2019

Ensemble flood forecasting considering dominant runoff processes – Part 1: Set-up and application to nested basins (Emme, Switzerland)

Manuel Antonetti, Christoph Horat, Ioannis V. Sideris, and Massimiliano Zappa


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) (25 Sep 2018) by Kai Schröter
AR by Massimiliano Zappa on behalf of the Authors (31 Oct 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (01 Nov 2018) by Kai Schröter
RR by Anonymous Referee #2 (15 Nov 2018)
RR by Anonymous Referee #1 (01 Dec 2018)
ED: Publish subject to technical corrections (10 Dec 2018) by Kai Schröter
AR by Massimiliano Zappa on behalf of the Authors (10 Dec 2018)  Author's response    Manuscript
Short summary
To predict timing and magnitude peak run-off, meteorological and calibrated hydrological models are commonly coupled. A flash-flood forecasting chain is presented based on a process-based run-off generation module with no need for calibration. This chain has been evaluated using data for the Emme catchment (Switzerland). The outcomes of this study show that operational flash predictions in ungauged basins can benefit from the use of information on run-off processes.
Final-revised paper