Articles | Volume 24, issue 5
https://doi.org/10.5194/hess-24-2545-2020
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, David Moeser, Michaela Teich, Laure Vincent, Yves Lejeune, Jean-Emmanuel Sicart, and Jean-Matthieu Monnet

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Latest update: 24 Apr 2024
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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.