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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Cited articles

Adam, J. C., Hamlet, A. F., and Lettenmaier, D. P.: Implications of global climate change for snowmelt hydrology in the twenty-first century, Hydrol. Process., 23, 962–972, 2009.
Andreadis, K. M. and Lettenmaier, D. P.: Assimilating remotely sensed snow observations into a macroscale hydrology model, Adv. Water Resour., 29, 872–886, 2006.
Bergström, S.: Development and application of a conceptual runoff model for Scandinavian catchments, Lund Institute of Technology, University of Lund, Sweden, Bulletin Series A, 52, 134 pp., 1976.
Bergström, S.: The HBV model: Its structure and applications, Swedish Meteorological and Hydrological Institute, 35 pp., 1992.
Bergström, S.: The HBV model, edited by: Singh, V., Computer Models of Watershed Hydrology, Water Resources Publications, Highlands Ranch, Colorado, USA, 443–476, 1995.
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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.