Articles | Volume 14, issue 1
https://doi.org/10.5194/tc-14-51-2020
https://doi.org/10.5194/tc-14-51-2020
Research article
 | 
14 Jan 2020
Research article |  | 14 Jan 2020

Modeling the evolution of the structural anisotropy of snow

Silvan Leinss, Henning Löwe, Martin Proksch, and Anna Kontu

Related authors

Mapping and characteristics of avalanches on mountain glaciers with Sentinel-1
Marin Kneib, Amaury Dehecq, Fanny Brun, Fatima Karbou, Laurane Charrier, Silvan Leinss, Patrick Wagnon, and Fabien Maussion
EGUsphere, https://doi.org/10.5194/egusphere-2023-2007,https://doi.org/10.5194/egusphere-2023-2007, 2023
Short summary
Everest South Col Glacier did not thin during the period 1984–2017
Fanny Brun, Owen King, Marion Réveillet, Charles Amory, Anton Planchot, Etienne Berthier, Amaury Dehecq, Tobias Bolch, Kévin Fourteau, Julien Brondex, Marie Dumont, Christoph Mayer, Silvan Leinss, Romain Hugonnet, and Patrick Wagnon
The Cryosphere, 17, 3251–3268, https://doi.org/10.5194/tc-17-3251-2023,https://doi.org/10.5194/tc-17-3251-2023, 2023
Short summary
Coherent backscatter enhancement in bistatic Ku- and X-band radar observations of dry snow
Marcel Stefko, Silvan Leinss, Othmar Frey, and Irena Hajnsek
The Cryosphere, 16, 2859–2879, https://doi.org/10.5194/tc-16-2859-2022,https://doi.org/10.5194/tc-16-2859-2022, 2022
Short summary
MONITORING HANGING GLACIER DYNAMICS FROM SAR IMAGES USING CORNER REFLECTORS AND FIELD MEASUREMENTS IN THE MONT-BLANC MASSIF
S. Kaushik, S. Leinss, L. Ravanel, E. Trouvé, Y. Yan, and F. Magnin
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 325–332, https://doi.org/10.5194/isprs-annals-V-3-2022-325-2022,https://doi.org/10.5194/isprs-annals-V-3-2022-325-2022, 2022
Glacier detachments and rock-ice avalanches in the Petra Pervogo range, Tajikistan (1973–2019)
Silvan Leinss, Enrico Bernardini, Mylène Jacquemart, and Mikhail Dokukin
Nat. Hazards Earth Syst. Sci., 21, 1409–1429, https://doi.org/10.5194/nhess-21-1409-2021,https://doi.org/10.5194/nhess-21-1409-2021, 2021
Short summary

Related subject area

Discipline: Snow | Subject: Snow Physics
Seismic attenuation in Antarctic firn
Stefano Picotti, José M. Carcione, and Mauro Pavan
The Cryosphere, 18, 169–186, https://doi.org/10.5194/tc-18-169-2024,https://doi.org/10.5194/tc-18-169-2024, 2024
Short summary
Temporospatial variability of snow's thermal conductivity on Arctic sea ice
Amy R. Macfarlane, Henning Löwe, Lucille Gimenes, David N. Wagner, Ruzica Dadic, Rafael Ottersberg, Stefan Hämmerle, and Martin Schneebeli
The Cryosphere, 17, 5417–5434, https://doi.org/10.5194/tc-17-5417-2023,https://doi.org/10.5194/tc-17-5417-2023, 2023
Short summary
A rigorous approach to the specific surface area evolution in snow during temperature gradient metamorphism
Anna Braun, Kévin Fourteau, and Henning Löwe
EGUsphere, https://doi.org/10.5194/egusphere-2023-1947,https://doi.org/10.5194/egusphere-2023-1947, 2023
Short summary
Heterogeneous grain growth and vertical mass transfer within a snow layer under a temperature gradient
Lisa Bouvet, Neige Calonne, Frédéric Flin, and Christian Geindreau
The Cryosphere, 17, 3553–3573, https://doi.org/10.5194/tc-17-3553-2023,https://doi.org/10.5194/tc-17-3553-2023, 2023
Short summary
Impact of the sampling procedure on the specific surface area of snow measurements with the IceCube
Julia Martin and Martin Schneebeli
The Cryosphere, 17, 1723–1734, https://doi.org/10.5194/tc-17-1723-2023,https://doi.org/10.5194/tc-17-1723-2023, 2023
Short summary

Cited articles

Alley, R. B.: Texture of polar firn for remote sensing, Ann. Glaciol., 9, 1–4, https://doi.org/10.3189/S0260305500200670, 1987. a, b
Bartelt, P. and Lehning, M.: A physical SNOWPACK model for the Swiss avalanche warning: Part I: numerical model, Cold Reg. Sci. Technol., 35, 123–145, https://doi.org/10.1016/S0165-232X(02)00074-5, 2002. a, b, c
Brun, E., Martin, E., Simon, V., Gendre, C., and Coleou, C.: An energy and mass model of snow cover suitable for operational avalanche forecasting, J. Glaciol., 35, 333–342, https://doi.org/10.3189/S0022143000009254, 1989. a
Brun, E., David, P., Sudul, M., and Brunot, G.: A numerical model to simulate snow-cover stratigraphy for operational avalanche forecasting, J. Glaciol., 38, 13–22, https://doi.org/10.3189/S0022143000009552, 1992. a, b
Calonne, N., Flin, F., Morin, S., Lesaffre, B., du Rolland du Roscoat, S., and Geindreau, C.: Numerical and experimental investigations of the effective thermal conductivity of snow, Geophys. Res. Lett., 38, 1–6, https://doi.org/10.1029/2011GL049234, 2011. a
Download
Short summary
The anisotropy of the snow microstructure, given by horizontally aligned ice crystals and vertically interlinked crystal chains, is a key quantity to understand mechanical, dielectric, and thermodynamical properties of snow. We present a model which describes the temporal evolution of the anisotropy. The model is driven by snow temperature, temperature gradient, and the strain rate. The model is calibrated by polarimetric radar data (CPD) and validated by computer tomographic 3-D snow images.