Articles | Volume 24, issue 5
Hydrol. Earth Syst. Sci., 24, 2545–2560, 2020
https://doi.org/10.5194/hess-24-2545-2020
Hydrol. Earth Syst. Sci., 24, 2545–2560, 2020
https://doi.org/10.5194/hess-24-2545-2020

Research article 15 May 2020

Research article | 15 May 2020

Snow processes in mountain forests: interception modeling for coarse-scale applications

Nora Helbig et al.

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Cited articles

Andreadis, K. M., Storck, P., and Lettenmaier, D. P.: Modeling snow accumulation and ablation processes in forested environments, Water Resour. Res., 45, W05429, https://doi.org/10.1029/2008WR007042, 2009. a
Aston, A. R.: Rainfall interception by eight small trees, J. Hydrol., 42, 383–396, 1993. a
Bartlett, P. A. and Verseghy, D. L.: Modified treatment of intercepted snow improves the simulated forest albedo in the Canadian Land Surface Scheme, Hydrol. Process., 29, 3208–3226, https://doi.org/10.1002/hyp.10431, 2015. a, b
Bründl, M., Bartelt, P., Schneebeli, M., and Flühler, H.: Measuring branch deflection of spruce branches caused by intercepted snow load, Hydrol. Process., 13, 2357–2369, 1999. a
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Short summary
Snow retained in the forest canopy (snow interception) drives spatial variability of the subcanopy snow accumulation. As such, accurately describing snow interception in models is of importance for various applications such as hydrological, weather, and climate predictions. We developed descriptions for the spatial mean and variability of snow interception. An independent evaluation demonstrated that the novel models can be applied in coarse land surface model grid cells.