Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Datasets and Code
  4. Modeling snow saltation: the effect of grain size and interparticle cohesion
 
dataset

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

Brito Melo, Daniela
•
Sharma, Varun
•
Comola, Francesco
Show more

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.

  • Details
  • Metrics
Type
dataset
DOI
10.16904/envidat.263
Author(s)
Brito Melo, Daniela
Sharma, Varun
Comola, Francesco
Sigmund, Armin
Lehning, Michael  
Date Issued

2021

Additional link

GitLab page

https://gitlabext.wsl.ch/atmospheric-models/les-lsm
EPFL units
CRYOS  
Available on Infoscience
March 11, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/186227
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés