Articles | Volume 21, issue 9
Research article
 | Highlight paper
28 Sep 2017
Research article | Highlight paper |  | 28 Sep 2017

Complex relationship between seasonal streamflow forecast skill and value in reservoir operations

Sean W. D. Turner, James C. Bennett, David E. Robertson, and Stefano Galelli


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: Publish subject to revisions (further review by Editor and Referees) (08 May 2017) by Andy Wood
AR by Stefano Galelli on behalf of the Authors (18 Jun 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (07 Jul 2017) by Andy Wood
RR by Anonymous Referee #2 (08 Aug 2017)
ED: Publish subject to minor revisions (further review by Editor) (14 Aug 2017) by Andy Wood
AR by Stefano Galelli on behalf of the Authors (22 Aug 2017)  Author's response    Manuscript
ED: Publish as is (24 Aug 2017) by Andy Wood
Short summary
This study investigates the relationship between skill and value of ensemble seasonal streamflow forecasts. Using data from a modern forecasting system, we show that skilled forecasts are more likely to provide benefits for reservoirs operated to maintain a target water level rather than reservoirs operated to satisfy a target demand. We identify the primary causes for this behaviour and provide specific recommendations for assessing the value of forecasts for reservoirs with supply objectives.