EGU25-9995, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-9995
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Friday, 02 May, 14:00–15:45 (CEST), Display time Friday, 02 May, 14:00–18:00
 
Hall X4, X4.16
Insights of the seasonal evolution of an arctic snowpack from an intensive field campaign
Lisa Bouvet1, Neige Calonne1, Pascal Hagenmuller1, Laurent Arnaud2, Oscar Dick1, Kévin Fourteau1, Mathieu Fructus1, Daniel Kramer3, Alexandre Langlois3, Yves Lejeune1, Julien Meloche4, Jacques Roulle1, Arvids Silis4, Louis Védrine1, Vincent Vionnet5, and Marie Dumont1
Lisa Bouvet et al.
  • 1Univ. Grenoble Alpes, Université de Toulouse, Météo-France, CNRS, CNRM, Centre d’Études de la Neige, 38000 Grenoble, France
  • 2Institute of Environmental Geosciences, CNRS, INRAE, IRD, Grenoble INP, University of Grenoble Alpes, Grenoble, France
  • 3Centre d’Applications et de Recherche en Télédétection, Université de Sherbrooke, Sherbrooke, J1K 2R1, Canada
  • 4Climate Research Division, Environment and Climate Change Canada, Toronto, Canada
  • 5Meteorological Research Division, Environment and Climate Change Canada, Dorval, Canada

The Arctic snowpack covers a large portion of the Earth’s surface, yet detailed snow observations in these areas are sparse compared to observations in alpine environments. The Arctic presents unique environmental conditions, leading to thin snowpacks undergoing high-temperature gradients. These conditions lead to specific evolutions of the snow microstructure, which results in peculiar snowpack properties. To improve our understanding and description of the Arctic snowpack, an eight-month-long field campaign (IVORI) was conducted in Cambridge Bay at the Canadian High Arctic Research Station, Nunavut, Canada (69°N) during the 2023-2024 winter. The campaign is based on daily acquisitions of the 3D snow microstructure at 10 μm using a cold laboratory X-ray tomograph located next to the field site, along with extensive monitoring of the meteorological conditions and traditional snow characterizations. This dataset notably contains 200 tomographic samples and 50 snow stratigraphic profiles covering the full snow depth.

Here we present the specific climatic context of the 2023-2024 winter at Cambridge Bay, along with an analysis of the evolution of the vertical profiles of density and specific surface area. Finally, a preliminary overview of the performance of snow models at this Arctic location is given, highlighting potential areas for improvement.

How to cite: Bouvet, L., Calonne, N., Hagenmuller, P., Arnaud, L., Dick, O., Fourteau, K., Fructus, M., Kramer, D., Langlois, A., Lejeune, Y., Meloche, J., Roulle, J., Silis, A., Védrine, L., Vionnet, V., and Dumont, M.: Insights of the seasonal evolution of an arctic snowpack from an intensive field campaign, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-9995, https://doi.org/10.5194/egusphere-egu25-9995, 2025.