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  4. Linking snow microstructural parameters to modeling specific surface area evolution based on 3D tomography data
 
doctoral thesis

Linking snow microstructural parameters to modeling specific surface area evolution based on 3D tomography data

Braun, Anna  
2024

Accurate snow modeling is the basis for assessing the snowpack stability in support of avalanche forecasting and for many cryospheric studies, including climate modelling and paleoclimate research. However, current snowpack models have difficulties accurately reproducing the temporal evolution of relevant microstructural descriptors of snow. In particular, the evolution of the specific surface area (SSA) of snow is related to the optical, thermal, and mechanical properties of snow and is currently insufficiently represented in snow models. The present thesis improves the understanding of the microstructure evolution in snow in three studies by (i) revealing the minimum-required complexity of a snow metamorphism model to simulate the SSA evolution in snow microstructures under a temperature gradient in the first two studies and (ii) proceeding towards a physics and microstructure-based macroscopic equation for the SSA evolution in snow in the third study. This thesis makes a considerable step forward in tightly linking 4D tomography experiments and 1D snow cover modeling.

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Type
doctoral thesis
DOI
10.5075/epfl-thesis-10559
Author(s)
Braun, Anna  

EPFL

Advisors
Lehning, Michael  
•
Löwe, Henning  
Jury

Prof. Paolo Perona (président) ; Prof. Michael Lehning, Dr Henning Löwe (directeurs) ; Dr Charles Fierz, Prof. Kevin Hammonds, Dr Pascal Hagenmuller (rapporteurs)

Date Issued

2024

Publisher

EPFL

Publisher place

Lausanne

Public defense year

2024-11-29

Thesis number

10559

Total of pages

120

Subjects

snow

•

snow metamorphism

•

crystal growth

•

modeling

•

microstructure

•

X-ray micro-computed tomography

•

specific surface area

•

condensation coefficient

EPFL units
CRYOS  
Faculty
ENAC  
School
IIE  
Doctoral School
EDCE  
Available on Infoscience
November 19, 2024
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/242060
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