Articles | Volume 24, issue 8
Hydrol. Earth Syst. Sci., 24, 4061–4090, 2020
https://doi.org/10.5194/hess-24-4061-2020
Hydrol. Earth Syst. Sci., 24, 4061–4090, 2020
https://doi.org/10.5194/hess-24-4061-2020
Research article
21 Aug 2020
Research article | 21 Aug 2020

Sensitivity of snow models to the accuracy of meteorological forcings in mountain environments

Silvia Terzago et al.

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Cited articles

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Beniston, M., Farinotti, D., Stoffel, M., Andreassen, L. M., Coppola, E., Eckert, N., Fantini, A., Giacona, F., Hauck, C., Huss, M., Huwald, H., Lehning, M., López-Moreno, J.-I., Magnusson, J., Marty, C., Morán-Tejéda, E., Morin, S., Naaim, M., Provenzale, A., Rabatel, A., Six, D., Stötter, J., Strasser, U., Terzago, S., and Vincent, C.: The European mountain cryosphere: a review of its current state, trends, and future challenges, The Cryosphere, 12, 759–794, https://doi.org/10.5194/tc-12-759-2018, 2018. a, b, c
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Short summary
In mountain areas high-quality meteorological data to drive snow models are rarely available, so coarse-resolution data from spatial interpolation of the available in situ measurements or reanalyses are typically employed. We perform 12 experiments using six snow models with different degrees of complexity to show the impact of the accuracy of the forcing on snow depth and snow water equivalent simulations at the Alpine site of Torgnon, discussing the results in relation to the model complexity.