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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 10
Hydrol. Earth Syst. Sci., 20, 4375–4389, 2016
https://doi.org/10.5194/hess-20-4375-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 20, 4375–4389, 2016
https://doi.org/10.5194/hess-20-4375-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 28 Oct 2016

Research article | 28 Oct 2016

Combined assimilation of streamflow and snow water equivalent for mid-term ensemble streamflow forecasts in snow-dominated regions

Jean M. Bergeron 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 (28 Jul 2016) by Florian Pappenberger
AR by Jean Bergeron on behalf of the Authors (29 Jul 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (26 Aug 2016) by Florian Pappenberger
RR by Anonymous Referee #2 (15 Sep 2016)
ED: Publish subject to minor revisions (Editor review) (25 Sep 2016) by Florian Pappenberger
AR by Jean Bergeron on behalf of the Authors (29 Sep 2016)  Author's response    Manuscript
ED: Publish as is (08 Oct 2016) by Florian Pappenberger
Publications Copernicus
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Short summary
We want to know how combined snow water equivalent (SWE) and streamflow data assimilation (DA) impacts streamflow predictions and how it compares with DA of SWE only and streamflow only. Results show that streamflow DA positively impacts short-term streamflow forecasts, while the impact of SWE DA lasts over a much longer horizon. Simultaneous DA of both SWE and streamflow performs better than its individual counterparts at all forecast horizons.
We want to know how combined snow water equivalent (SWE) and streamflow data assimilation (DA)...
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