Articles | Volume 21, issue 8
https://doi.org/10.5194/hess-21-4103-2017
https://doi.org/10.5194/hess-21-4103-2017
Research article
 | 
14 Aug 2017
Research article |  | 14 Aug 2017

Skill of a global forecasting system in seasonal ensemble streamflow prediction

Naze Candogan Yossef, Rens van Beek, Albrecht Weerts, Hessel Winsemius, and Marc F. P. Bierkens

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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by Editor and Referees) (02 Mar 2017) by Maria-Helena Ramos
AR by Naze Candogan Yossef on behalf of the Authors (14 Apr 2017)  Manuscript 
ED: Publish subject to minor revisions (further review by Editor) (14 May 2017) by Maria-Helena Ramos
AR by Naze Candogan Yossef on behalf of the Authors (24 May 2017)  Author's response   Manuscript 
ED: Publish as is (25 May 2017) by Maria-Helena Ramos
AR by Naze Candogan Yossef on behalf of the Authors (04 Jun 2017)
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Short summary
This paper presents a skill assessment of the global seasonal streamflow forecasting system FEWS-World. For 20 large basins of the world, forecasts using the ESP procedure are compared to forecasts using actual S3 seasonal meteorological forecast ensembles by ECMWF. The results are discussed in the context of prevailing hydroclimatic conditions per basin. The study concludes that in general, the skill of ECMWF S3 forecasts is close to that of the ESP forecasts.