Snow Saltation Simulation Data for Grain Size and Cohesion Effects

Simulation results and code support research on modeling snow saltation, specifically the effects of grain size and interparticle cohesion. The data originates from a study published in the Journal of Geophysical Research: Atmospheres and was contributed by ENVIDAT. The supporting code uses a Large Eddy Simulation flow solver coupled with a Lagrangian Stochastic Model.

Use Cases

• Analyze the relationship between simulated grain size parameters and saltation flux metrics.
• Validate the Lagrangian Stochastic Model's particle rebound and splash algorithms against field observations.
• Study the effect of interparticle cohesion parameters on simulated snow transport thresholds and rates.
• Compare aerodynamic entrainment model outputs for different snow grain classifications.

Strengths

• Data supports a peer-reviewed publication in the Journal of Geophysical Research: Atmospheres.
• Model integrates multiple validated physical processes for particle-bed interaction.

Limitations

• The dataset size, row count, and specific column structure are unknown.
• Data recency is limited, with a last update in January 2021.

Provenance

Source

ENVIDAT

Collection Method

Output from a numerical Large Eddy Simulation (LES) coupled with a Lagrangian Stochastic Model (LSM).

Freshness

2021-01-01