Modeling snow saltation: the effect of grain size and interparticle cohesion

This dataset includes the parallel application and the main results supporting the research article "Modeling snow saltation: the effect of grain size and interparticle cohesion" published at the Journal of Geophysical Research: Atmospheres. The code is a flow solver based on the Large Eddy Simulation (LES) technique coupled with a Lagrangian Stochastic Model (LSM). The interaction of snow particles with the bed is modeled with statistical and physically-based models for aerodynamic entrainment, rebound and splash, following the works of Groot Zwaaftink et al. (2014), Comola and Lehning (2017) and Sharma et al. (2018). This algorithm was also used by Sigmund et al. (2021) to model snow sublimation.

• Swiss National Science Foundation (link) (Grant/Award: 179130)

• Comola, F., Lehning, M. (2017). Energy- and momentum-conserving model of splash entrainment in sand and snow saltation. Geophysical Research Letters, 44 (3), 1601–1609.

• Groot Zwaaftink, C. D., Diebold, M., Horender, S., Overney, J., Lieberherr, G., Parlange, M. B., Lehning, M. (2014). Modelling Small-Scale Drifting Snow with a Lagrangian Stochastic Model Based on Large-Eddy Simulations. Boundary-Layer Meteorology, 153 (1), 117–139.

• Sharma, V., Comola, F., Lehning, M. (2018). On the suitability of the Thorpe–Mason model for calculating sublimation of saltating snow. The Cryosphere, 12 (11), 3499–3509.

• Sigmund, A., Dujardin, J., Comola, F., Sharma, V., Huwald, H., Melo, D. B., Hirasawa, N., Nishimura, K., Lehning, M. (2021). Evidence of Strong Flux Underestimation by Bulk Parametrizations During Drifting and Blowing Snow. Boundary-Layer Meteorology.