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.

Data and Resources

Data in FiguresSERVICE
Simulation results presented in Figures 1 to 11 of the research article...
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LES-LSM codeSERVICE
Source code used to perform the analysis presented at the research article...
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Additional information

Identifier

c4543b3d-d898-4364-8194-bb56f2fe41f9@envidat

Title for URL of the dataset

modeling-snow-saltation-the-effect-of-grain-size-and-interparticle-cohesion

Schedule the publication of the dataset

Issued date

May 7, 2021

Modification date

December 8, 2021

Conforms to

Update interval

Temporal coverage

Publisher Information

EnviDat

Contact points

Languages

English

Url

https://www.envidat.ch/#/metadata/modeling-snow-saltation-the-effect-of-grain-size-and-interparticle-cohesion

Relations

Spatial

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Documentation

Keywords

Terms of use

NonCommercialAllowed-CommercialAllowed-ReferenceRequired

Metadata Access

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