3-D image-based numerical computations of snow permeability: links to specific surface area, density, and microstructural anisotropy

We used three-dimensional (3-D) images of snow microstructure to carry out numerical estimations of the full tensor of the intrinsic permeability of snow (K). This study was performed on 35 snow samples, spanning a wide range of seasonal snow types. For several snow samples, a significant anisotropy...

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Published in:The Cryosphere
Main Authors: N. Calonne, C. Geindreau, F. Flin, S. Morin, B. Lesaffre, S. Rolland du Roscoat, P. Charrier
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2012
Subjects:
geo
Online Access:https://doi.org/10.5194/tc-6-939-2012
http://www.the-cryosphere.net/6/939/2012/tc-6-939-2012.pdf
https://doaj.org/article/4a8ad0e782e54b36b89ba56fc832ce96
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spelling fttriple:oai:gotriple.eu:oai:doaj.org/article:4a8ad0e782e54b36b89ba56fc832ce96 2023-05-15T18:32:22+02:00 3-D image-based numerical computations of snow permeability: links to specific surface area, density, and microstructural anisotropy N. Calonne C. Geindreau F. Flin S. Morin B. Lesaffre S. Rolland du Roscoat P. Charrier 2012-09-01 https://doi.org/10.5194/tc-6-939-2012 http://www.the-cryosphere.net/6/939/2012/tc-6-939-2012.pdf https://doaj.org/article/4a8ad0e782e54b36b89ba56fc832ce96 en eng Copernicus Publications doi:10.5194/tc-6-939-2012 1994-0416 1994-0424 http://www.the-cryosphere.net/6/939/2012/tc-6-939-2012.pdf https://doaj.org/article/4a8ad0e782e54b36b89ba56fc832ce96 undefined The Cryosphere, Vol 6, Iss 5, Pp 939-951 (2012) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2012 fttriple https://doi.org/10.5194/tc-6-939-2012 2023-01-22T19:15:16Z We used three-dimensional (3-D) images of snow microstructure to carry out numerical estimations of the full tensor of the intrinsic permeability of snow (K). This study was performed on 35 snow samples, spanning a wide range of seasonal snow types. For several snow samples, a significant anisotropy of permeability was detected and is consistent with that observed for the effective thermal conductivity obtained from the same samples. The anisotropy coefficient, defined as the ratio of the vertical over the horizontal components of K, ranges from 0.74 for a sample of decomposing precipitation particles collected in the field to 1.66 for a depth hoar specimen. Because the permeability is related to a characteristic length, we introduced a dimensionless tensor K*=K/res2, where the equivalent sphere radius of ice grains (res) is computed from the specific surface area of snow (SSA) and the ice density (ρi) as follows: res=3/(SSA×ρi. We define K and K* as the average of the diagonal components of K and K*, respectively. The 35 values of K* were fitted to snow density (ρs) and provide the following regression: K = (3.0 ± 0.3) res2 exp((−0.0130 ± 0.0003)ρs). We noted that the anisotropy of permeability does not affect significantly the proposed equation. This regression curve was applied to several independent datasets from the literature and compared to other existing regression curves or analytical models. The results show that it is probably the best currently available simple relationship linking the average value of permeability, K, to snow density and specific surface area. Article in Journal/Newspaper The Cryosphere Unknown The Cryosphere 6 5 939 951
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic geo
envir
spellingShingle geo
envir
N. Calonne
C. Geindreau
F. Flin
S. Morin
B. Lesaffre
S. Rolland du Roscoat
P. Charrier
3-D image-based numerical computations of snow permeability: links to specific surface area, density, and microstructural anisotropy
topic_facet geo
envir
description We used three-dimensional (3-D) images of snow microstructure to carry out numerical estimations of the full tensor of the intrinsic permeability of snow (K). This study was performed on 35 snow samples, spanning a wide range of seasonal snow types. For several snow samples, a significant anisotropy of permeability was detected and is consistent with that observed for the effective thermal conductivity obtained from the same samples. The anisotropy coefficient, defined as the ratio of the vertical over the horizontal components of K, ranges from 0.74 for a sample of decomposing precipitation particles collected in the field to 1.66 for a depth hoar specimen. Because the permeability is related to a characteristic length, we introduced a dimensionless tensor K*=K/res2, where the equivalent sphere radius of ice grains (res) is computed from the specific surface area of snow (SSA) and the ice density (ρi) as follows: res=3/(SSA×ρi. We define K and K* as the average of the diagonal components of K and K*, respectively. The 35 values of K* were fitted to snow density (ρs) and provide the following regression: K = (3.0 ± 0.3) res2 exp((−0.0130 ± 0.0003)ρs). We noted that the anisotropy of permeability does not affect significantly the proposed equation. This regression curve was applied to several independent datasets from the literature and compared to other existing regression curves or analytical models. The results show that it is probably the best currently available simple relationship linking the average value of permeability, K, to snow density and specific surface area.
format Article in Journal/Newspaper
author N. Calonne
C. Geindreau
F. Flin
S. Morin
B. Lesaffre
S. Rolland du Roscoat
P. Charrier
author_facet N. Calonne
C. Geindreau
F. Flin
S. Morin
B. Lesaffre
S. Rolland du Roscoat
P. Charrier
author_sort N. Calonne
title 3-D image-based numerical computations of snow permeability: links to specific surface area, density, and microstructural anisotropy
title_short 3-D image-based numerical computations of snow permeability: links to specific surface area, density, and microstructural anisotropy
title_full 3-D image-based numerical computations of snow permeability: links to specific surface area, density, and microstructural anisotropy
title_fullStr 3-D image-based numerical computations of snow permeability: links to specific surface area, density, and microstructural anisotropy
title_full_unstemmed 3-D image-based numerical computations of snow permeability: links to specific surface area, density, and microstructural anisotropy
title_sort 3-d image-based numerical computations of snow permeability: links to specific surface area, density, and microstructural anisotropy
publisher Copernicus Publications
publishDate 2012
url https://doi.org/10.5194/tc-6-939-2012
http://www.the-cryosphere.net/6/939/2012/tc-6-939-2012.pdf
https://doaj.org/article/4a8ad0e782e54b36b89ba56fc832ce96
genre The Cryosphere
genre_facet The Cryosphere
op_source The Cryosphere, Vol 6, Iss 5, Pp 939-951 (2012)
op_relation doi:10.5194/tc-6-939-2012
1994-0416
1994-0424
http://www.the-cryosphere.net/6/939/2012/tc-6-939-2012.pdf
https://doaj.org/article/4a8ad0e782e54b36b89ba56fc832ce96
op_rights undefined
op_doi https://doi.org/10.5194/tc-6-939-2012
container_title The Cryosphere
container_volume 6
container_issue 5
container_start_page 939
op_container_end_page 951
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