Study of snow-atmosphere interactions over an Antarctic surface using large eddy simulations coupled with a Lagrangian stochastic model
The need for a better understanding of fluid and morphodynamic processes over Antarctic sea ice motivates the development of detailed models of small-scale snow-atmosphere interactions. At large scales, these interactions drive spatial patterns of snow distribution and snow transport from the margin...
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ftinfoscience:oai:infoscience.tind.io:215698 2023-05-15T13:38:50+02:00 Study of snow-atmosphere interactions over an Antarctic surface using large eddy simulations coupled with a Lagrangian stochastic model Comola, Francesco Giometto, Marco Giovanni Trujillo Gomez, Ernesto Leonard, Katherine Colby Maksym, Ted Parlange, Marc Lehning, Michael 2016-02-01T10:42:26Z http://infoscience.epfl.ch/record/215698 unknown http://infoscience.epfl.ch/record/215698 http://infoscience.epfl.ch/record/215698 Text 2016 ftinfoscience 2023-02-13T22:32:01Z The need for a better understanding of fluid and morphodynamic processes over Antarctic sea ice motivates the development of detailed models of small-scale snow-atmosphere interactions. At large scales, these interactions drive spatial patterns of snow distribution and snow transport from the marginal ice to the sea. However, challenges arise when representing the detailed sequence of processes involved, such as aerodynamic entrainment, particle dynamics, feedback on fluid momentum and particle impacts. We use a Lagrangian stochastic model coupled to large eddy simulations to represent particle trajectories in turbulent flows. An immersed boundary method is used to represent the underlying surface and a dynamic surface roughness model is used to account for the drag induced by the subgrid-scale roughness. The model is set up for an Antarctic sea ice floe over which pre- and post-storm snow distributions were measured using a terrestrial laser scanner. The dataset, collected as part of the Sea Ice Physics and Ecosystem Experiment 2, indicates marked changes in the snow distribution as a result of snow drift, providing valuable testing grounds for the model. Model results are in agreement with blowing snow concentrations at different heights and with the observed patterns of erosion and deposition. Text Antarc* Antarctic Sea ice EPFL Infoscience (Ecole Polytechnique Fédérale Lausanne) Antarctic |
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EPFL Infoscience (Ecole Polytechnique Fédérale Lausanne) |
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ftinfoscience |
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description |
The need for a better understanding of fluid and morphodynamic processes over Antarctic sea ice motivates the development of detailed models of small-scale snow-atmosphere interactions. At large scales, these interactions drive spatial patterns of snow distribution and snow transport from the marginal ice to the sea. However, challenges arise when representing the detailed sequence of processes involved, such as aerodynamic entrainment, particle dynamics, feedback on fluid momentum and particle impacts. We use a Lagrangian stochastic model coupled to large eddy simulations to represent particle trajectories in turbulent flows. An immersed boundary method is used to represent the underlying surface and a dynamic surface roughness model is used to account for the drag induced by the subgrid-scale roughness. The model is set up for an Antarctic sea ice floe over which pre- and post-storm snow distributions were measured using a terrestrial laser scanner. The dataset, collected as part of the Sea Ice Physics and Ecosystem Experiment 2, indicates marked changes in the snow distribution as a result of snow drift, providing valuable testing grounds for the model. Model results are in agreement with blowing snow concentrations at different heights and with the observed patterns of erosion and deposition. |
format |
Text |
author |
Comola, Francesco Giometto, Marco Giovanni Trujillo Gomez, Ernesto Leonard, Katherine Colby Maksym, Ted Parlange, Marc Lehning, Michael |
spellingShingle |
Comola, Francesco Giometto, Marco Giovanni Trujillo Gomez, Ernesto Leonard, Katherine Colby Maksym, Ted Parlange, Marc Lehning, Michael Study of snow-atmosphere interactions over an Antarctic surface using large eddy simulations coupled with a Lagrangian stochastic model |
author_facet |
Comola, Francesco Giometto, Marco Giovanni Trujillo Gomez, Ernesto Leonard, Katherine Colby Maksym, Ted Parlange, Marc Lehning, Michael |
author_sort |
Comola, Francesco |
title |
Study of snow-atmosphere interactions over an Antarctic surface using large eddy simulations coupled with a Lagrangian stochastic model |
title_short |
Study of snow-atmosphere interactions over an Antarctic surface using large eddy simulations coupled with a Lagrangian stochastic model |
title_full |
Study of snow-atmosphere interactions over an Antarctic surface using large eddy simulations coupled with a Lagrangian stochastic model |
title_fullStr |
Study of snow-atmosphere interactions over an Antarctic surface using large eddy simulations coupled with a Lagrangian stochastic model |
title_full_unstemmed |
Study of snow-atmosphere interactions over an Antarctic surface using large eddy simulations coupled with a Lagrangian stochastic model |
title_sort |
study of snow-atmosphere interactions over an antarctic surface using large eddy simulations coupled with a lagrangian stochastic model |
publishDate |
2016 |
url |
http://infoscience.epfl.ch/record/215698 |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic Sea ice |
genre_facet |
Antarc* Antarctic Sea ice |
op_source |
http://infoscience.epfl.ch/record/215698 |
op_relation |
http://infoscience.epfl.ch/record/215698 |
_version_ |
1766111524936482816 |