Articles | Volume 26, issue 11
Research article
15 Jun 2022
Research article |  | 15 Jun 2022

Evaluating the impact of post-processing medium-range ensemble streamflow forecasts from the European Flood Awareness System

Gwyneth Matthews, Christopher Barnard, Hannah Cloke, Sarah L. Dance, Toni Jurlina, Cinzia Mazzetti, and Christel Prudhomme


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2021-539', Anonymous Referee #1, 17 Dec 2021
    • AC1: 'Reply on RC1', Gwyneth Matthews, 24 Feb 2022
  • RC2: 'Comment on hess-2021-539', Anonymous Referee #2, 19 Jan 2022
    • AC2: 'Reply on RC2', Gwyneth Matthews, 24 Feb 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (04 Mar 2022) by Daniel Viviroli
AR by Gwyneth Matthews on behalf of the Authors (05 Apr 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (08 Apr 2022) by Daniel Viviroli
RR by Anonymous Referee #1 (09 May 2022)
RR by Anonymous Referee #2 (17 May 2022)
ED: Publish as is (19 May 2022) by Daniel Viviroli
Short summary
The European Flood Awareness System creates flood forecasts for up to 15 d in the future for the whole of Europe which are made available to local authorities. These forecasts can be erroneous because the weather forecasts include errors or because the hydrological model used does not represent the flow in the rivers correctly. We found that, by using recent observations and a model trained with past observations and forecasts, the real-time forecast can be corrected, thus becoming more useful.