Technical note: Combining quantile forecasts and predictive distributions of streamflows

Bogner, Konrad; Liechti, Katharina; Zappa, Massimiliano

doi:https://doi.org/10.5194/hess-21-5493-2017

Articles | Volume 21, issue 11

https://doi.org/10.5194/hess-21-5493-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-21-5493-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 21, issue 11

Technical note

|

08 Nov 2017

Technical note |

| 08 Nov 2017

Technical note: Combining quantile forecasts and predictive distributions of streamflows

Konrad Bogner, Katharina Liechti, and Massimiliano Zappa

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Final revised paper (published on 08 Nov 2017)
Preprint (discussion started on 29 May 2017)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review comments', Anonymous Referee #1, 09 Jun 2017
- AC1: 'Answer to RC1', Konrad Bogner, 19 Jun 2017
RC2: 'Referee comments', Anonymous Referee #2, 30 Jun 2017
- AC2: 'Answer to RC2', Konrad Bogner, 04 Jul 2017

Peer-review completion

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

ED: Reconsider after major revisions (further review by Editor and Referees) (31 Jul 2017) by Florian Pappenberger

AR by Konrad Bogner on behalf of the Authors (08 Sep 2017) Author's response Manuscript

ED: Referee Nomination & Report Request started (08 Sep 2017) by Florian Pappenberger

RR by Anonymous Referee #1 (13 Sep 2017)

RR by Anonymous Referee #2 (24 Sep 2017)

ED: Publish subject to minor revisions (further review by Editor) (25 Sep 2017) by Florian Pappenberger

AR by Konrad Bogner on behalf of the Authors (26 Sep 2017) Author's response Manuscript

ED: Publish as is (04 Oct 2017) by Florian Pappenberger

AR by Konrad Bogner on behalf of the Authors (05 Oct 2017)

Short summary

The enhanced availability of many different weather prediction systems nowadays makes it very difficult for flood and water resource managers to choose the most reliable and accurate forecast. In order to circumvent this problem of choice, different approaches for combining this information have been applied at the Sihl River (CH) and the results have been verified. The outcome of this study highlights the importance of forecast combination in order to improve the quality of forecast systems.