Articles | Volume 21, issue 10
https://doi.org/10.5194/hess-21-5273-2017
https://doi.org/10.5194/hess-21-5273-2017
Research article
 | 
19 Oct 2017
Research article |  | 19 Oct 2017

Performance of ensemble streamflow forecasts under varied hydrometeorological conditions

Harm-Jan F. Benninga, Martijn J. Booij, Renata J. Romanowicz, and Tom H. M. Rientjes

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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: Publish subject to revisions (further review by Editor and Referees) (27 Mar 2017) by Dimitri Solomatine
AR by Harm-Jan Benninga on behalf of the Authors (08 May 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (10 May 2017) by Dimitri Solomatine
RR by Anonymous Referee #3 (02 Jun 2017)
RR by Anonymous Referee #1 (07 Jun 2017)
ED: Publish subject to revisions (further review by Editor and Referees) (16 Jun 2017) by Dimitri Solomatine
AR by Harm-Jan Benninga on behalf of the Authors (24 Jul 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (25 Jul 2017) by Dimitri Solomatine
RR by Anonymous Referee #1 (25 Jul 2017)
RR by Anonymous Referee #3 (17 Aug 2017)
ED: Publish as is (21 Aug 2017) by Dimitri Solomatine
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Short summary
Accurate flood and low-streamflow forecasting are important. The paper presents a methodology to evaluate ensemble streamflow-forecasting systems for different lead times; low, medium and high streamflow; and related runoff-generating processes. We applied the methodology to a study forecasting system of the Biała Tarnowska River in Poland. The results provide valuable information about the forecasting system: in which conditions it can be used and how the system can be improved effectively.