EGU25-14506, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-14506
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Estimation of local scale snow depth and snow water equivalent over a winter period in northern Finland with an object-based ensemble machine learning approach
David Brodylo1, Lauren Bosche1, Thomas Douglas1, Ryan Busby2, Elias Deeb3, and Juha Lemmetyinen4
David Brodylo et al.
  • 1U.S. Army Corps of Engineers, Cold Regions Research and Engineering Laboratory, Fort Wainwright, AK, United States (david.brodylo@usace.army.mil)
  • 2U.S. Army Corps of Engineers, Construction Engineering Research Laboratory, Champaign, IL, United States
  • 3U.S. Army Corps of Engineers, Cold Regions Research and Engineering Laboratory, Hanover, NH, United States
  • 4Finnish Meteorological Institute, Helsinki, Finland

How to cite: Brodylo, D., Bosche, L., Douglas, T., Busby, R., Deeb, E., and Lemmetyinen, J.: Estimation of local scale snow depth and snow water equivalent over a winter period in northern Finland with an object-based ensemble machine learning approach, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-14506, https://doi.org/10.5194/egusphere-egu25-14506, 2025.

This abstract has been withdrawn on 24 Apr 2025.