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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 20, issue 8
Hydrol. Earth Syst. Sci., 20, 3277–3287, 2016
https://doi.org/10.5194/hess-20-3277-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Sub-seasonal to seasonal hydrological forecasting

Hydrol. Earth Syst. Sci., 20, 3277–3287, 2016
https://doi.org/10.5194/hess-20-3277-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 12 Aug 2016

Research article | 12 Aug 2016

ENSO-conditioned weather resampling method for seasonal ensemble streamflow prediction

Joost V. L. Beckers et al.

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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 May 2016) by Maria-Helena Ramos
AR by Joost Beckers on behalf of the Authors (13 May 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (22 May 2016) by Maria-Helena Ramos
RR by Anonymous Referee #1 (12 Jun 2016)
RR by Anonymous Referee #2 (22 Jun 2016)
ED: Publish subject to technical corrections (05 Jul 2016) by Maria-Helena Ramos
AR by Joost Beckers on behalf of the Authors (25 Jul 2016)  Author's response    Manuscript
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Short summary
Oceanic–atmospheric climate modes, such as El Niño–Southern Oscillation (ENSO), are known to affect the streamflow regime in many rivers around the world. A new method is presented for ENSO conditioning of the ensemble streamflow prediction (ESP) method, which is often used for seasonal streamflow forecasting. The method was tested on three tributaries of the Columbia River, OR. Results show an improvement in forecast skill compared to the standard ESP.
Oceanic–atmospheric climate modes, such as El Niño–Southern Oscillation (ENSO), are known to...
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