EGU23-4608, updated on 22 Feb 2023
https://doi.org/10.5194/egusphere-egu23-4608
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

UAV and SnowModel Estimates of Wind Driven Snow in Eastern USA Avalanche Terrain

Cameron Wagner1,2, Adam Hunsaker1,2, and Jennifer Jacobs1,2
Cameron Wagner et al.
  • 1Department of Civil and Environmental Engineering, University of New Hampshire, Durham, NH, USA
  • 2Earth Systems Research Center, Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, NH, USA

Mount Washington, New Hampshire’s east aspect glacial cirques are subject to frequent wind slab avalanche problems due to high winds and ample snowfall in fetch areas above the cirques.  Quantification of these slabs’ location, extent and depth is in integral part of avalanche forecasting and risk assessment. This research used SnowModel, a spatially distributed snow-evolution modeling system, to model wind slab depth maps using Mount Washington Observatory weather station data on a 1-meter grid scale. SnowModel’s SnowTran-3D, a snow redistribution by wind algorithm, is tested for one of the first times in the Eastern United States. Snowpack seasonal evolution and accumulation event-based model performance is calibrated and validated using 15 snow depth maps. These maps were constructed via structure from motion (SfM) analysis photogrammetry. SfM maps were derived from optical imagery collected using an Unmanned Aerial System (UAS) and were able to quantify wind slab depth with a 5cm spatial resolution.

How to cite: Wagner, C., Hunsaker, A., and Jacobs, J.: UAV and SnowModel Estimates of Wind Driven Snow in Eastern USA Avalanche Terrain, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-4608, https://doi.org/10.5194/egusphere-egu23-4608, 2023.