Articles | Volume 18, issue 12
https://doi.org/10.5194/tc-18-5685-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-18-5685-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Multi-physics ensemble modelling of Arctic tundra snowpack properties
Georgina J. Woolley
CORRESPONDING AUTHOR
Department of Geography and Environmental Sciences, Northumbria University, Newcastle Upon Tyne, UK
Nick Rutter
Department of Geography and Environmental Sciences, Northumbria University, Newcastle Upon Tyne, UK
Leanne Wake
Department of Geography and Environmental Sciences, Northumbria University, Newcastle Upon Tyne, UK
Vincent Vionnet
Meteorological Research Division, Environment and Climate Change Canada, Dorval, Canada
Chris Derksen
Climate Research Division, Environment and Climate Change Canada, Toronto, Canada
Richard Essery
School of Geosciences, University of Edinburgh, Edinburgh, UK
Philip Marsh
Cold Regions Research Centre, Wilfrid Laurier University, Waterloo, Canada
Rosamond Tutton
Cold Regions Research Centre, Wilfrid Laurier University, Waterloo, Canada
Branden Walker
Cold Regions Research Centre, Wilfrid Laurier University, Waterloo, Canada
Matthieu Lafaysse
Météo-France – CNRS, CNRM UMR3589, Centre d’Études de la Neige (CEN), Grenoble, France
David Pritchard
School of Engineering, Newcastle University, Newcastle Upon Tyne, UK
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Cited
9 citations as recorded by crossref.
- Assimilation of synthetic observations of radar backscatters at Ku-band improves SWE estimates N. Leroux et al. https://doi.org/10.5194/tc-20-2773-2026
- Forward modelling of passive microwave emissivities over snow-covered areas at continental scale I. de Gélis et al. https://doi.org/10.1016/j.rse.2025.114821
- Snow Water Equivalent from airborne Ku-band data: the Trail Valley Creek 2018/19 snow experiment B. Montpetit et al. https://doi.org/10.5194/tc-19-5465-2025
- Enhancing simulations of snowpack properties in land surface models with the Soil, Vegetation and Snow scheme v2.0 (SVS2) V. Vionnet et al. https://doi.org/10.5194/gmd-18-9119-2025
- Density-Regulated Snow Depth–Snow Water Equivalent Scaling Under Thermodynamic and Accumulation Perturbations K. Rakhymbek et al. https://doi.org/10.3390/app16073476
- A prototype passive microwave retrieval algorithm for tundra snow density J. Welch & R. Kelly https://doi.org/10.5194/tc-19-5259-2025
- Revisiting snow settlement with microstructural knowledge L. Védrine & P. Hagenmuller https://doi.org/10.5194/tc-20-1257-2026
- Radar-equivalent snowpack: reducing the number of snow layers while retaining their microwave properties and bulk snow mass J. Meloche et al. https://doi.org/10.5194/tc-19-2949-2025
- Simulating snow properties and Ku-band backscatter across the forest-tundra ecotone G. Woolley et al. https://doi.org/10.5194/tc-20-1315-2026
9 citations as recorded by crossref.
- Assimilation of synthetic observations of radar backscatters at Ku-band improves SWE estimates N. Leroux et al. https://doi.org/10.5194/tc-20-2773-2026
- Forward modelling of passive microwave emissivities over snow-covered areas at continental scale I. de Gélis et al. https://doi.org/10.1016/j.rse.2025.114821
- Snow Water Equivalent from airborne Ku-band data: the Trail Valley Creek 2018/19 snow experiment B. Montpetit et al. https://doi.org/10.5194/tc-19-5465-2025
- Enhancing simulations of snowpack properties in land surface models with the Soil, Vegetation and Snow scheme v2.0 (SVS2) V. Vionnet et al. https://doi.org/10.5194/gmd-18-9119-2025
- Density-Regulated Snow Depth–Snow Water Equivalent Scaling Under Thermodynamic and Accumulation Perturbations K. Rakhymbek et al. https://doi.org/10.3390/app16073476
- A prototype passive microwave retrieval algorithm for tundra snow density J. Welch & R. Kelly https://doi.org/10.5194/tc-19-5259-2025
- Revisiting snow settlement with microstructural knowledge L. Védrine & P. Hagenmuller https://doi.org/10.5194/tc-20-1257-2026
- Radar-equivalent snowpack: reducing the number of snow layers while retaining their microwave properties and bulk snow mass J. Meloche et al. https://doi.org/10.5194/tc-19-2949-2025
- Simulating snow properties and Ku-band backscatter across the forest-tundra ecotone G. Woolley et al. https://doi.org/10.5194/tc-20-1315-2026
Saved (final revised paper)
Latest update: 08 Jun 2026
Short summary
Parameterisations of Arctic snow processes were implemented into the multi-physics ensemble version of the snow model Crocus (embedded within the Soil, Vegetation, and Snow version 2 land surface model) and evaluated at an Arctic tundra site. Optimal combinations of parameterisations that improved the simulation of density and specific surface area featured modifications that raise wind speeds to increase compaction in surface layers, prevent snowdrift, and increase viscosity in basal layers.
Parameterisations of Arctic snow processes were implemented into the multi-physics ensemble...