11 citations as recorded by crossref.

1. Understanding snow bedform formation by adding sintering to a cellular automata model V. Sharma et al. https://doi.org/10.5194/tc-13-3239-2019
2. Snow Topography on Undeformed Arctic Sea Ice Captured by an Idealized “Snow Dune” Model P. Popović et al. https://doi.org/10.1029/2019JC016034
3. Snow process monitoring using time-lapse structure-from-motion photogrammetry with a single camera J. Liu et al. https://doi.org/10.1016/j.coldregions.2021.103355
4. The evolution of snow bedforms in the Colorado Front Range and the processes that shape them K. Kochanski et al. https://doi.org/10.5194/tc-13-1267-2019
5. Idealized Study of a Static Electrical Field on Charged Saltating Snow Particles H. Yu et al. https://doi.org/10.3389/feart.2022.880466
6. Rescal-snow: Simulating snow dunes with cellular automata K. Kochanski et al. https://doi.org/10.21105/joss.01699
7. The challenge of monitoring snow surface sublimation in winter could be resolved with structure-from-motion photogrammetry J. Liu et al. https://doi.org/10.1016/j.jhydrol.2024.130733
8. Location Dictates Snow Aerodynamic Roughness S. Fassnacht et al. https://doi.org/10.3390/glacies1010001
9. Integrated UAV and Satellite Observations for Antarctic Melt Pond Monitoring: Assessing the Melt-Induced Risk for Transportation on Landfast Ice S. Wei et al. https://doi.org/10.1109/TGRS.2026.3695914
10. Thermal infrared shadow-hiding in GOES-R ABI imagery: snow and forest temperature observations from the SnowEx 2020 Grand Mesa field campaign S. Pestana et al. https://doi.org/10.5194/tc-18-2257-2024
11. Automated ablation stakes to constrain temperature-index melt models A. Wickert et al. https://doi.org/10.1017/aog.2024.21