Modeling the evolution of the structural anisotropy of snow

<p>The structural anisotropy of snow characterizes the spatially anisotropic distribution of the ice and air microstructure and is a key parameter for improving parameterizations of physical properties. To enable the use of the anisotropy in snowpack models as an internal variable, we propose...

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Main Authors: S. Leinss, H. Löwe, M. Proksch, A. Kontu
Format: Article
Language:English
Published: Copernicus Publications 2020-01-01
Series:The Cryosphere
Online Access:https://www.the-cryosphere.net/14/51/2020/tc-14-51-2020.pdf
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spelling doaj-54db5f10bcde4af68488320abae2581c2020-11-25T01:37:54ZengCopernicus PublicationsThe Cryosphere1994-04161994-04242020-01-0114517510.5194/tc-14-51-2020Modeling the evolution of the structural anisotropy of snowS. Leinss0H. Löwe1M. Proksch2A. Kontu3Institute of Environmental Engineering, Swiss Federal Institute of Technology in Zurich (ETH), Zürich, SwitzerlandWSL Institute for Snow and Avalanche Research SLF, Davos, SwitzerlandWSL Institute for Snow and Avalanche Research SLF, Davos, SwitzerlandFinnish Meteorological Institute FMI, Arctic Research, Sodankylä, Finland<p>The structural anisotropy of snow characterizes the spatially anisotropic distribution of the ice and air microstructure and is a key parameter for improving parameterizations of physical properties. To enable the use of the anisotropy in snowpack models as an internal variable, we propose a simple model based on a rate equation for the temporal evolution. The model is validated with a comprehensive set of anisotropy profiles and time series from X-ray microtomography (CT) and radar measurements. The model includes two effects, namely temperature gradient metamorphism and settling, and can be forced by any snowpack model that predicts temperature and density. First, we use CT time series from lab experiments to validate the proposed effect of temperature gradient metamorphism. Next, we use SNOWPACK simulations to calibrate the model with radar time series from the NoSREx campaigns in Sodankylä, Finland. Finally we compare the simulated anisotropy profiles against field-measured full-depth CT profiles. Our results confirm that the creation of vertical structures is mainly controlled by the vertical water vapor flux through the snow volume. Our results further indicate a yet undocumented effect of snow settling on the creation of horizontal structures. Overall the model is able to reproduce the characteristic anisotropy variations in radar time series of four different winter seasons with a very limited set of calibration parameters.</p>https://www.the-cryosphere.net/14/51/2020/tc-14-51-2020.pdf
collection DOAJ
language English
format Article
sources DOAJ
author S. Leinss
H. Löwe
M. Proksch
A. Kontu
spellingShingle S. Leinss
H. Löwe
M. Proksch
A. Kontu
Modeling the evolution of the structural anisotropy of snow
The Cryosphere
author_facet S. Leinss
H. Löwe
M. Proksch
A. Kontu
author_sort S. Leinss
title Modeling the evolution of the structural anisotropy of snow
title_short Modeling the evolution of the structural anisotropy of snow
title_full Modeling the evolution of the structural anisotropy of snow
title_fullStr Modeling the evolution of the structural anisotropy of snow
title_full_unstemmed Modeling the evolution of the structural anisotropy of snow
title_sort modeling the evolution of the structural anisotropy of snow
publisher Copernicus Publications
series The Cryosphere
issn 1994-0416
1994-0424
publishDate 2020-01-01
description <p>The structural anisotropy of snow characterizes the spatially anisotropic distribution of the ice and air microstructure and is a key parameter for improving parameterizations of physical properties. To enable the use of the anisotropy in snowpack models as an internal variable, we propose a simple model based on a rate equation for the temporal evolution. The model is validated with a comprehensive set of anisotropy profiles and time series from X-ray microtomography (CT) and radar measurements. The model includes two effects, namely temperature gradient metamorphism and settling, and can be forced by any snowpack model that predicts temperature and density. First, we use CT time series from lab experiments to validate the proposed effect of temperature gradient metamorphism. Next, we use SNOWPACK simulations to calibrate the model with radar time series from the NoSREx campaigns in Sodankylä, Finland. Finally we compare the simulated anisotropy profiles against field-measured full-depth CT profiles. Our results confirm that the creation of vertical structures is mainly controlled by the vertical water vapor flux through the snow volume. Our results further indicate a yet undocumented effect of snow settling on the creation of horizontal structures. Overall the model is able to reproduce the characteristic anisotropy variations in radar time series of four different winter seasons with a very limited set of calibration parameters.</p>
url https://www.the-cryosphere.net/14/51/2020/tc-14-51-2020.pdf
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