The benefit of using an ensemble of seasonal streamflow forecasts in water allocation decisions

Kaune, Alexander; Chowdhury, Faysal; Werner, Micha; Bennett, James

doi:https://doi.org/10.5194/hess-24-3851-2020

Articles | Volume 24, issue 7

https://doi.org/10.5194/hess-24-3851-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-24-3851-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 24, issue 7

Research article

|

30 Jul 2020

Research article |

| 30 Jul 2020

The benefit of using an ensemble of seasonal streamflow forecasts in water allocation decisions

Alexander Kaune, Faysal Chowdhury, Micha Werner, and James Bennett

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Final revised paper (published on 30 Jul 2020)
Supplement to the final revised paper
Preprint (discussion started on 20 Feb 2020)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Review comments on "The benefit of using an ensemble of seasonal streamflow forecasts in water allocation decisions"', Anonymous Referee #1, 19 Mar 2020
- AC1: 'Reply to Anonymous Referee #1', Alexander Kaune, 29 Apr 2020
RC2: 'The benefit of using an ensemble of seasonal streamflow forecasts in water allocation decisions', Anonymous Referee #2, 02 Apr 2020
- AC2: 'Reply to Anonymous Referee #2', Alexander Kaune, 29 Apr 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to revisions (further review by editor and referees) (01 May 2020) by Nadia Ursino

AR by Alexander Kaune on behalf of the Authors (09 May 2020) Author's response Manuscript

ED: Referee Nomination & Report Request started (13 May 2020) by Nadia Ursino

RR by Anonymous Referee #1 (23 May 2020)

RR by Anonymous Referee #2 (11 Jun 2020)

ED: Publish as is (14 Jun 2020) by Nadia Ursino

Short summary

This paper was developed from PhD research focused on assessing the value of using hydrological datasets in water resource management. Previous studies have assessed how well data can help in predicting river flows, but there is a lack of knowledge of how well data can help in water allocation decisions. In our research, it was found that using seasonal streamflow forecasts improves the available water estimates, resulting in better water allocation decisions in a highly regulated basin.