Articles | Volume 20, issue 9
Hydrol. Earth Syst. Sci., 20, 3895–3905, 2016
https://doi.org/10.5194/hess-20-3895-2016
Hydrol. Earth Syst. Sci., 20, 3895–3905, 2016
https://doi.org/10.5194/hess-20-3895-2016

Research article 22 Sep 2016

Research article | 22 Sep 2016

Assessing the benefit of snow data assimilation for runoff modeling in Alpine catchments

Nena Griessinger 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 (05 May 2016) by Ross Woods
AR by Nena Griessinger on behalf of the Authors (16 Jun 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (30 Jun 2016) by Ross Woods
RR by Ole Rössler (18 Jul 2016)
ED: Publish subject to minor revisions (Editor review) (27 Jul 2016) by Ross Woods
AR by Nena Griessinger on behalf of the Authors (15 Aug 2016)  Author's response    Manuscript
ED: Publish as is (02 Sep 2016) by Ross Woods
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Short summary
In Alpine catchments, snowmelt is a major contribution to runoff. In this study, we address the question of whether the performance of a hydrological model can be enhanced by integrating data from an external snow monitoring system. To this end, a hydrological model was driven with snowmelt input from snow models of different complexities. Best performance was obtained with a snow model, which utilized data assimilation, in particular for catchments at higher elevations and for snow-rich years.