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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 19, issue 8
Hydrol. Earth Syst. Sci., 19, 3695–3714, 2015
https://doi.org/10.5194/hess-19-3695-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 19, 3695–3714, 2015
https://doi.org/10.5194/hess-19-3695-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 27 Aug 2015

Research article | 27 Aug 2015

Improving real-time inflow forecasting into hydropower reservoirs through a complementary modelling framework

A. S. Gragne et al.

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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: Reconsider after major revisions (02 Mar 2015) by Elena Toth
AR by Anna Wenzel on behalf of the Authors (30 Apr 2015)  Author's response
ED: Referee Nomination & Report Request started (30 Apr 2015) by Elena Toth
RR by Anonymous Referee #1 (06 May 2015)
RR by Anonymous Referee #2 (31 May 2015)
ED: Publish subject to minor revisions (Editor review) (15 Jun 2015) by Elena Toth
AR by Svenja Lange on behalf of the Authors (26 Jun 2015)  Author's response    Manuscript
ED: Publish subject to minor revisions (Editor review) (09 Jul 2015) by Elena Toth
AR by Ashenafi Seifu Gragne on behalf of the Authors (19 Jul 2015)  Author's response    Manuscript
ED: Publish subject to minor revisions (Editor review) (28 Jul 2015) by Elena Toth
AR by Ashenafi Seifu Gragne on behalf of the Authors (13 Aug 2015)  Author's response    Manuscript
ED: Publish as is (14 Aug 2015) by Elena Toth
Publications Copernicus
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Short summary
We present a forecasting system comprising additively set-up conceptual and simple error model. Parameters of the conceptual model were left unaltered, as are in most operational set-ups, and the data-driven model was arranged to forecast the corrective measures the conceptual model needs. We demonstrate that the present procedure could effectively improve forecast accuracy over extended lead times with a reliability degree varying inter-annually and inter-seasonally.
We present a forecasting system comprising additively set-up conceptual and simple error model....
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