Articles | Volume 15, issue 2
The Cryosphere, 15, 743–769, 2021
The Cryosphere, 15, 743–769, 2021

Research article 17 Feb 2021

Research article | 17 Feb 2021

Multi-scale snowdrift-permitting modelling of mountain snowpack

Vincent Vionnet et al.

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Cited articles

Baba, M. W., Gascoin, S., and Hanich, L.: Assimilation of Sentinel-2 data into a snowpack model in the High Atlas of Morocco. Remote Sens., 10, 1982,, 2018. 
Barcons, J., Avila, M., and Folch, A.: A wind field downscaling strategy based on domain segmentation and transfer functions, Wind Energy, 21, 409–425,, 2018. 
Bernhardt, M. and Schulz, K.: SnowSlide: A simple routine for calculating gravitational snow transport. Geophys. Res. Lett., 37, L11502,, 2010. 
Bernhardt, M., Liston, G. E., Strasser, U., Zängl, G., and Schulz, K.: High resolution modelling of snow transport in complex terrain using downscaled MM5 wind fields, The Cryosphere, 4, 99–113,, 2010. 
Brauchli, T., Trujillo, E., Huwald, H., and Lehning, M.: Influence of slope-scale snowmelt on catchment response simulated with the Alpine3D model, Water Resour. Res., 53, 10723–10739,, 2017. 
Short summary
Mountain snow cover provides critical supplies of fresh water to downstream users. Its accurate prediction requires inclusion of often-ignored processes. A multi-scale modelling strategy is presented that efficiently accounts for snow redistribution. Model accuracy is assessed via airborne lidar and optical satellite imagery. With redistribution the model captures the elevation–snow depth relation. Redistribution processes are required to reproduce spatial variability, such as around ridges.