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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Four snow models of different complexity (temperature-index vs. energy balance models) are compared using observed and dynamically downscaled atmospheric analysis data as input. Biases in simulated precipitation lead to lower model performance. However, simulated meteorological conditions are proven to be a valuable meteorological data source as they provide model input in regions with limited availability of observations and allow the application of energy balance approaches.
Articles | Volume 18, issue 11
Hydrol. Earth Syst. Sci., 18, 4703–4720, 2014
https://doi.org/10.5194/hess-18-4703-2014
Hydrol. Earth Syst. Sci., 18, 4703–4720, 2014
https://doi.org/10.5194/hess-18-4703-2014

Research article 28 Nov 2014

Research article | 28 Nov 2014

Effect of meteorological forcing and snow model complexity on hydrological simulations in the Sieber catchment (Harz Mountains, Germany)

K. Förster et al.

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Short summary
Four snow models of different complexity (temperature-index vs. energy balance models) are compared using observed and dynamically downscaled atmospheric analysis data as input. Biases in simulated precipitation lead to lower model performance. However, simulated meteorological conditions are proven to be a valuable meteorological data source as they provide model input in regions with limited availability of observations and allow the application of energy balance approaches.
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