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

Data sets

Modeling the Evolution of the Structural Anisotropy of Snow S. Leinss, H. Löwe, M. Proksch, A. Kontu https://doi.org/10.3929/ethz-b-000382787

Nordic Snow Radar Experiment J. Lemmetyinen, A. Kontu, J. Pulliainen, J. Vehviläinen, K. Rautiainen, A. Wiesmann, C. Mätzler, C. Werner, H. Rott, T. Nagler, M. Schneebeli, M. Proksch, D. Schüttemeyer, M. Kern, and M. W. J. Davidson https://doi.org/10.5194/gi-5-403-2016

Technical assistance for the deployment of an X- to Ku-band scatterometer during the NoSREx experiment, NoSREx-I, -II and -III (2009-2012) Final report J. Lemmetyinen, A. Kontu, L. Leppänen, J. Pulliainen, A. Wiesmann, C. Werner, M. Proksch, and M. Schneebeli https://earth.esa.int/web/guest/campaigns

A 7-year dataset for driving and evaluating snow models at an Arctic site (Sodankylä, Finland) R. Essery, A. Kontu, J. Lemmetyinen, M. Dumont, and C. B. M\'enard https://doi.org/10.5194/gi-5-219-2016

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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.