Dernière mise à jour
4 mars 2025
Conditions d'utilisation
Utilisation libre. Obligation d’indiquer la source.

Description

In the associated study [1], two time-lapse temperature gradient metamorphism series of three-dimensional micro-computed tomography images of snow (obtained by [2]) have been used to model the decrease of specific surface area (SSA) over time based on the pore-scale physics. We conducted finite element simulations of one-way coupled heat and mass diffusion in order to estimation the spatial pattern of water vapor deposition and sublimation, which controls the evolution of the SSA over time. We notably studied the influence of the condensation coefficient, a key but poorly constrained physical parameter. This dataset provides the parameters used for the mesh generation and the finite element simulations. It also includes the ice fraction, specific surface area per unit volume and surface average of mean curvature and vapor field obtained as outputs from the mesh process and the simulations. [1]: Braun, A., Fourteau, K., and Löwe, H.: A rigorous approach to the specific surface area evolution in snow during temperature gradient metamorphism, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-1947, 2023. [2]: Pinzer, B. R., Schneebeli, M., and Kaempfer, T. U.: Vapor flux and recrystallization during dry snow metamorphism under a steady temperature gradient as observed by time-lapse micro-tomography, The Cryosphere, 6, 1141–1155, https://doi.org/10.5194/tc-6-1141-2012, 2012.

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Informations complémentaires

Identifier
53044b16-6ecb-41dc-a5dd-12ac261469b1@envidat
Date de publication
6 mars 2024
Date de modification
4 mars 2025
Conforme à
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Editeur
EnviDat
Points de contact
Langues
Anglais
Informations complémentaires
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Landing page
https://www.envidat.ch/#/metadata/simulation-parameters-and-outputs-for-a-rigorous-approach-to-the-specific-surfac
Documentation
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Couverture temporelle
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Couverture spatiale
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Intervalle d'actualisation
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