Articles | Volume 11, issue 3
The Cryosphere, 11, 1465–1485, 2017
https://doi.org/10.5194/tc-11-1465-2017
The Cryosphere, 11, 1465–1485, 2017
https://doi.org/10.5194/tc-11-1465-2017

Research article 28 Jun 2017

Research article | 28 Jun 2017

Numerical homogenization of the viscoplastic behavior of snow based on X-ray tomography images

Antoine Wautier et al.

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Interactive discussion

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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Anna Mirena Feist-Polner on behalf of the Authors (05 Apr 2017)  Author's response
ED: Referee Nomination & Report Request started (20 Apr 2017) by Martin Schneebeli
RR by Andrew Hansen (09 May 2017)
ED: Publish subject to technical corrections (16 May 2017) by Martin Schneebeli
AR by Antoine Wautier on behalf of the Authors (24 May 2017)  Author's response    Manuscript
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Short summary
The results shown in the present paper consist in predicting the overall viscous behavior of snow from the sole knowledge of the microstructure and the ice viscous behavior. This is done thanks to multi-scale modeling techniques and an original approach is used to handle the nonlinearity of the ice behavior. An application of the developed formulation can be found in the simulation of the densification of the snowpack in order to enhance avalanche risk forecasting.