Articles | Volume 10, issue 6
https://doi.org/10.5194/tc-10-2847-2016
https://doi.org/10.5194/tc-10-2847-2016
Research article
 | 
21 Nov 2016
Research article |  | 21 Nov 2016

Relating optical and microwave grain metrics of snow: the relevance of grain shape

Quirine Krol and Henning Löwe

Related authors

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
Microstructure-based simulations of the viscous densification of snow and firn
Kévin Fourteau, Johannes Freitag, Mika Malinen, and Henning Löwe
EGUsphere, https://doi.org/10.5194/egusphere-2023-1928,https://doi.org/10.5194/egusphere-2023-1928, 2023
Short summary
Wind tunnel experiments to quantify the effect of aeolian snow transport on the surface snow microstructure
Benjamin Walter, Hagen Weigel, Sonja Wahl, and Henning Löwe
The Cryosphere Discuss., https://doi.org/10.5194/tc-2023-112,https://doi.org/10.5194/tc-2023-112, 2023
Preprint under review for TC
Short summary
A finite-element framework to explore the numerical solution of the coupled problem of heat conduction, water vapor diffusion and settlement in dry snow (IvoriFEM v0.1.0)
Julien Brondex, Kevin Fourteau, Marie Dumont, Pascal Hagenmuller, Neige Calonne, Francois Tuzet, and Henning Löwe
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-97,https://doi.org/10.5194/gmd-2023-97, 2023
Revised manuscript under review for GMD
Short summary
A microstructure-based parameterization of the effective, anisotropic elasticity tensor of snow, firn, and bubbly ice
Kavitha Sundu, Johannes Freitag, Kévin Fourteau, and Henning Löwe
EGUsphere, https://doi.org/10.5194/egusphere-2023-220,https://doi.org/10.5194/egusphere-2023-220, 2023
Short summary

Related subject area

Snow Physics
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
Wind conditions for snow cornice formation in a wind tunnel
Hongxiang Yu, Guang Li, Benjamin Walter, Michael Lehning, Jie Zhang, and Ning Huang
The Cryosphere, 17, 639–651, https://doi.org/10.5194/tc-17-639-2023,https://doi.org/10.5194/tc-17-639-2023, 2023
Short summary
Thermal Conductivity of Snow on Arctic Sea Ice
Amy R. Macfarlane, Henning Löwe, Lucille Gimenes, David N. Wagner, Ruzica Dadic, Rafael Ottersberg, Stefan Hämmerle, and Martin Schneebeli
EGUsphere, https://doi.org/10.5194/egusphere-2023-83,https://doi.org/10.5194/egusphere-2023-83, 2023
Short summary
Stochastic analysis of micro-cone penetration tests in snow
Pyei Phyo Lin, Isabel Peinke, Pascal Hagenmuller, Matthias Wächter, M. Reza Rahimi Tabar, and Joachim Peinke
The Cryosphere, 16, 4811–4822, https://doi.org/10.5194/tc-16-4811-2022,https://doi.org/10.5194/tc-16-4811-2022, 2022
Short summary

Cited articles

Akaike, H.: Selected papers of Hirotugu Akaike, 199–213, Springer New York, https://doi.org/10.1007/978-1-4612-1694-0_15, 1998.
Arnaud, L., Picard, G., Champollion, N., Domine, F., Gallet, J., Lefebvre, E., Fily, M., and Barnola, J.: Measurement of vertical profiles of snow specific surface area with a 1 cm resolution using infrared reflectance: instrument description and validation, J. Glaciol., 57, 17–29, https://doi.org/10.3189/002214311795306664, 2011.
Bartlett, S. J., Rüedi, J.-D., Craig, A., and Fierz, C.: Assessment of techniques for analyzing snow crystals in two dimensions, Ann. Glaciol., 48, 103–112, https://doi.org/10.3189/172756408784700752, 2008.
Berryman, J. G.: Planar spatial correlations, anisotropy, and specific surface area of stationary random porous media, J. Appl. Phys., 83, 1685–1693, https://doi.org/10.1063/1.366885, 1998.
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, http://www.ingentaconnect.com/content/igsoc/jog/1992/00000038/00000128/art00003, 1992.
Download
Short summary
Optical and microwave modelling of snow involve different metrics of "grain size" and existing, empirical relations between them are subject to considerable scatter. We introduce two objectively defined metrics of grain shape, derived from micro-computed tomography images, that lead to improved statistical models between the different grain metrics. Our results allow to assess the relevance of grain shape in both fields on common grounds.