Articles | Volume 9, issue 6
https://doi.org/10.5194/tc-9-2101-2015
https://doi.org/10.5194/tc-9-2101-2015
Research article
 | 
16 Nov 2015
Research article |  | 16 Nov 2015

Microwave scattering coefficient of snow in MEMLS and DMRT-ML revisited: the relevance of sticky hard spheres and tomography-based estimates of stickiness

H. Löwe and G. Picard

Related authors

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
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
Brief communication: A continuous formulation of microwave scattering from fresh snow to bubbly ice from first principles
Ghislain Picard, Henning Löwe, and Christian Mätzler
The Cryosphere, 16, 3861–3866, https://doi.org/10.5194/tc-16-3861-2022,https://doi.org/10.5194/tc-16-3861-2022, 2022
Short summary
Elements of future snowpack modeling – Part 1: A physical instability arising from the nonlinear coupling of transport and phase changes
Konstantin Schürholt, Julia Kowalski, and Henning Löwe
The Cryosphere, 16, 903–923, https://doi.org/10.5194/tc-16-903-2022,https://doi.org/10.5194/tc-16-903-2022, 2022
Short summary
Elements of future snowpack modeling – Part 2: A modular and extendable Eulerian–Lagrangian numerical scheme for coupled transport, phase changes and settling processes
Anna Simson, Henning Löwe, and Julia Kowalski
The Cryosphere, 15, 5423–5445, https://doi.org/10.5194/tc-15-5423-2021,https://doi.org/10.5194/tc-15-5423-2021, 2021
Short summary

Related subject area

Snow Physics
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
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
A generalized photon-tracking approach to simulate spectral snow albedo and transmittance using X-ray microtomography and geometric optics
Theodore Letcher, Julie Parno, Zoe Courville, Lauren Farnsworth, and Jason Olivier
The Cryosphere, 16, 4343–4361, https://doi.org/10.5194/tc-16-4343-2022,https://doi.org/10.5194/tc-16-4343-2022, 2022
Short summary
Grain-size evolution controls the accumulation dependence of modelled firn thickness
Jonathan Kingslake, Robert Skarbek, Elizabeth Case, and Christine McCarthy
The Cryosphere, 16, 3413–3430, https://doi.org/10.5194/tc-16-3413-2022,https://doi.org/10.5194/tc-16-3413-2022, 2022
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

Cited articles

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, 2011.
Baxter, R.: Percus-Yevick equation for hard spheres with surface adhesion, J. Chem. Phys., 49, 2770, https://doi.org/10.1063/1.1670482, 1968.
Brucker, L., Picard, G., and Fily, M.: Snow grain-size profiles deduced from microwave snow emissivities in Antarctica, J. Glaciol., 56, 514–526, https://doi.org/10.3189/002214310792447806, 2010.
Brucker, L., Picard, G., Arnaud, L., Barnola, J.-M., Schneebeli, M., Brunjail, H., Lefebvre, E., and Fily, M.: Modeling time series of microwave brightness temperature at Dome C, Antarctica, using vertically resolved snow temperature and microstructure measurements, J. Glaciol., 57, 171–182, 2011.
Chang, W., Tan, S., Lemmetyinen, J., Tsang, L., Xu, X., and Yueh, S.: Dense Media Radiative Transfer Applied to SnowScat and SnowSAR, IEEE J. Sel. Top. Appl., 7, 3811–3825, https://doi.org/10.1109/JSTARS.2014.2343519, 2014.
Download
Short summary
The paper establishes a theoretical link between two widely used microwave models for snow. The scattering formulations from both models are unified by reformulating their microstructure models in a common framework. The results show that the scattering formulations can be considered equivalent, if exactly the same microstructure model is used. The paper also provides a method to measure a hitherto unknown input parameter for the microwave models from tomography images of snow.