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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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HESS | Articles | Volume 24, issue 5
Hydrol. Earth Syst. Sci., 24, 2609–2632, 2020
https://doi.org/10.5194/hess-24-2609-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 24, 2609–2632, 2020
https://doi.org/10.5194/hess-24-2609-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 20 May 2020

Research article | 20 May 2020

Should altitudinal gradients of temperature and precipitation inputs be inferred from key parameters in snow-hydrological models?

Denis Ruelland

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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: Publish subject to revisions (further review by editor and referees) (18 Apr 2020) by Günter Blöschl
AR by Denis Ruelland on behalf of the Authors (19 Apr 2020)  Author's response    Manuscript
ED: Publish as is (23 Apr 2020) by Günter Blöschl
Publications Copernicus
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Short summary
Interpolation methods accounting for elevation dependency from scattered gauges result in inaccurate inputs for snow-hydrological models. Altitudinal gradients of temperature and precipitation can be successfully inferred using an inverse snow-hydrological modelling approach. This approach can significantly improve the simulation of snow cover and streamflow dynamics through more parsimonious parametrization.
Interpolation methods accounting for elevation dependency from scattered gauges result in...
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