Modeling the small-scale deposition of snow onto structured Arctic sea ice during a MOSAiC storm using snowBedFoam 1.0.
The remoteness and extreme conditions of the Arctic make it a very difficult environment to investigate. In these polar regions covered by sea ice, the wind is relatively strong due to the absence of obstructions and redistributes a large part of the deposited snow mass, which complicates estimates...
Published in: | Geoscientific Model Development |
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ftcopernicus:oai:publications.copernicus.org:gmd96508 2023-05-15T14:47:05+02:00 Modeling the small-scale deposition of snow onto structured Arctic sea ice during a MOSAiC storm using snowBedFoam 1.0. Hames, Océane Jafari, Mahdi Wagner, David Nicholas Raphael, Ian Clemens-Sewall, David Polashenski, Chris Shupe, Matthew D. Schneebeli, Martin Lehning, Michael 2022-08-29 application/pdf https://doi.org/10.5194/gmd-15-6429-2022 https://gmd.copernicus.org/articles/15/6429/2022/ eng eng doi:10.5194/gmd-15-6429-2022 https://gmd.copernicus.org/articles/15/6429/2022/ eISSN: 1991-9603 Text 2022 ftcopernicus https://doi.org/10.5194/gmd-15-6429-2022 2022-09-05T16:22:56Z The remoteness and extreme conditions of the Arctic make it a very difficult environment to investigate. In these polar regions covered by sea ice, the wind is relatively strong due to the absence of obstructions and redistributes a large part of the deposited snow mass, which complicates estimates for precipitation hardly distinguishable from blowing or drifting snow. Moreover, the snow mass balance in the sea ice system is still poorly understood, notably due to the complex structure of its surface. Quantitatively assessing the snow distribution on sea ice and its connection to the sea ice surface features is an important step to remove the snow mass balance uncertainties (i.e., snow transport contribution) in the Arctic environment. In this work we introduce snowBedFoam 1.0., a physics-based snow transport model implemented in the open-source fluid dynamics software OpenFOAM. We combine the numerical simulations with terrestrial laser scan observations of surface dynamics to simulate snow deposition in a MOSAiC (Multidisciplinary Drifting Observatory for the Study of Arctic Climate) sea ice domain with a complicated structure typical for pressure ridges. The results demonstrate that a large fraction of snow accumulates in their vicinity, which compares favorably against scanner measurements. However, the approximations imposed by the numerical framework, together with potential measurement errors (precipitation), give rise to quantitative inaccuracies, which should be addressed in future work. The modeling of snow distribution on sea ice should help to better constrain precipitation estimates and more generally assess and predict snow and ice dynamics in the Arctic. Text Arctic Sea ice Copernicus Publications: E-Journals Arctic Geoscientific Model Development 15 16 6429 6449 |
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Open Polar |
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Copernicus Publications: E-Journals |
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ftcopernicus |
language |
English |
description |
The remoteness and extreme conditions of the Arctic make it a very difficult environment to investigate. In these polar regions covered by sea ice, the wind is relatively strong due to the absence of obstructions and redistributes a large part of the deposited snow mass, which complicates estimates for precipitation hardly distinguishable from blowing or drifting snow. Moreover, the snow mass balance in the sea ice system is still poorly understood, notably due to the complex structure of its surface. Quantitatively assessing the snow distribution on sea ice and its connection to the sea ice surface features is an important step to remove the snow mass balance uncertainties (i.e., snow transport contribution) in the Arctic environment. In this work we introduce snowBedFoam 1.0., a physics-based snow transport model implemented in the open-source fluid dynamics software OpenFOAM. We combine the numerical simulations with terrestrial laser scan observations of surface dynamics to simulate snow deposition in a MOSAiC (Multidisciplinary Drifting Observatory for the Study of Arctic Climate) sea ice domain with a complicated structure typical for pressure ridges. The results demonstrate that a large fraction of snow accumulates in their vicinity, which compares favorably against scanner measurements. However, the approximations imposed by the numerical framework, together with potential measurement errors (precipitation), give rise to quantitative inaccuracies, which should be addressed in future work. The modeling of snow distribution on sea ice should help to better constrain precipitation estimates and more generally assess and predict snow and ice dynamics in the Arctic. |
format |
Text |
author |
Hames, Océane Jafari, Mahdi Wagner, David Nicholas Raphael, Ian Clemens-Sewall, David Polashenski, Chris Shupe, Matthew D. Schneebeli, Martin Lehning, Michael |
spellingShingle |
Hames, Océane Jafari, Mahdi Wagner, David Nicholas Raphael, Ian Clemens-Sewall, David Polashenski, Chris Shupe, Matthew D. Schneebeli, Martin Lehning, Michael Modeling the small-scale deposition of snow onto structured Arctic sea ice during a MOSAiC storm using snowBedFoam 1.0. |
author_facet |
Hames, Océane Jafari, Mahdi Wagner, David Nicholas Raphael, Ian Clemens-Sewall, David Polashenski, Chris Shupe, Matthew D. Schneebeli, Martin Lehning, Michael |
author_sort |
Hames, Océane |
title |
Modeling the small-scale deposition of snow onto structured Arctic sea ice during a MOSAiC storm using snowBedFoam 1.0. |
title_short |
Modeling the small-scale deposition of snow onto structured Arctic sea ice during a MOSAiC storm using snowBedFoam 1.0. |
title_full |
Modeling the small-scale deposition of snow onto structured Arctic sea ice during a MOSAiC storm using snowBedFoam 1.0. |
title_fullStr |
Modeling the small-scale deposition of snow onto structured Arctic sea ice during a MOSAiC storm using snowBedFoam 1.0. |
title_full_unstemmed |
Modeling the small-scale deposition of snow onto structured Arctic sea ice during a MOSAiC storm using snowBedFoam 1.0. |
title_sort |
modeling the small-scale deposition of snow onto structured arctic sea ice during a mosaic storm using snowbedfoam 1.0. |
publishDate |
2022 |
url |
https://doi.org/10.5194/gmd-15-6429-2022 https://gmd.copernicus.org/articles/15/6429/2022/ |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_source |
eISSN: 1991-9603 |
op_relation |
doi:10.5194/gmd-15-6429-2022 https://gmd.copernicus.org/articles/15/6429/2022/ |
op_doi |
https://doi.org/10.5194/gmd-15-6429-2022 |
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Geoscientific Model Development |
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