A simulation of a large-scale drifting snowstorm in the turbulent boundary layer
Drifting snowstorms are an important aeolian process that reshape alpine glaciers and polar ice shelves, and they may also affect the climate system and hydrological cycle since flying snow particles exchange considerable mass and energy with air flow. Prior studies have rarely considered full-scale...
Published in: | The Cryosphere |
---|---|
Main Authors: | , |
Format: | Text |
Language: | unknown |
Published: |
2019
|
Subjects: | |
Online Access: | https://doi.org/10.5194/tc-12-3841-2018 http://infoscience.epfl.ch/record/264619 |
id |
ftinfoscience:oai:infoscience.epfl.ch:264619 |
---|---|
record_format |
openpolar |
spelling |
ftinfoscience:oai:infoscience.epfl.ch:264619 2023-05-15T16:41:59+02:00 A simulation of a large-scale drifting snowstorm in the turbulent boundary layer Wang, Zhengshi Jia, Shuming 2019-03-08T10:35:47Z https://doi.org/10.5194/tc-12-3841-2018 http://infoscience.epfl.ch/record/264619 unknown doi:10.5194/tc-12-3841-2018 http://infoscience.epfl.ch/record/264619 http://infoscience.epfl.ch/record/264619 Text 2019 ftinfoscience https://doi.org/10.5194/tc-12-3841-2018 2023-02-13T22:50:41Z Drifting snowstorms are an important aeolian process that reshape alpine glaciers and polar ice shelves, and they may also affect the climate system and hydrological cycle since flying snow particles exchange considerable mass and energy with air flow. Prior studies have rarely considered full-scale drifting snowstorms in the turbulent boundary layer; thus, the transportation feature of snow flow higher in the air and its contribution are largely unknown. In this study, a large-eddy simulation is combined with a subgrid-scale velocity model to simulate the atmospheric turbulent boundary layer, and a Lagrangian particle tracking method is adopted to track the trajectories of snow particles. A drifting snowstorm that is hundreds of meters in depth and exhibits obvious spatial structures is produced. The snow transport flux profile at high altitude, previously not observed, is quite different from that near the surface; thus, the extrapolated transport flux profile may largely underestimate the total transport flux. At the same time, the development of a drifting snowstorm involves three typical stages, rapid growth, gentle growth, and equilibrium, in which large-scale updrafts and subgrid-scale fluctuating velocities basically dominate the first and second stages, respectively. This research provides an effective way to gain an insight into natural drifting snowstorms. Text Ice Shelves EPFL Infoscience (Ecole Polytechnique Fédérale Lausanne) The Cryosphere 12 12 3841 3851 |
institution |
Open Polar |
collection |
EPFL Infoscience (Ecole Polytechnique Fédérale Lausanne) |
op_collection_id |
ftinfoscience |
language |
unknown |
description |
Drifting snowstorms are an important aeolian process that reshape alpine glaciers and polar ice shelves, and they may also affect the climate system and hydrological cycle since flying snow particles exchange considerable mass and energy with air flow. Prior studies have rarely considered full-scale drifting snowstorms in the turbulent boundary layer; thus, the transportation feature of snow flow higher in the air and its contribution are largely unknown. In this study, a large-eddy simulation is combined with a subgrid-scale velocity model to simulate the atmospheric turbulent boundary layer, and a Lagrangian particle tracking method is adopted to track the trajectories of snow particles. A drifting snowstorm that is hundreds of meters in depth and exhibits obvious spatial structures is produced. The snow transport flux profile at high altitude, previously not observed, is quite different from that near the surface; thus, the extrapolated transport flux profile may largely underestimate the total transport flux. At the same time, the development of a drifting snowstorm involves three typical stages, rapid growth, gentle growth, and equilibrium, in which large-scale updrafts and subgrid-scale fluctuating velocities basically dominate the first and second stages, respectively. This research provides an effective way to gain an insight into natural drifting snowstorms. |
format |
Text |
author |
Wang, Zhengshi Jia, Shuming |
spellingShingle |
Wang, Zhengshi Jia, Shuming A simulation of a large-scale drifting snowstorm in the turbulent boundary layer |
author_facet |
Wang, Zhengshi Jia, Shuming |
author_sort |
Wang, Zhengshi |
title |
A simulation of a large-scale drifting snowstorm in the turbulent boundary layer |
title_short |
A simulation of a large-scale drifting snowstorm in the turbulent boundary layer |
title_full |
A simulation of a large-scale drifting snowstorm in the turbulent boundary layer |
title_fullStr |
A simulation of a large-scale drifting snowstorm in the turbulent boundary layer |
title_full_unstemmed |
A simulation of a large-scale drifting snowstorm in the turbulent boundary layer |
title_sort |
simulation of a large-scale drifting snowstorm in the turbulent boundary layer |
publishDate |
2019 |
url |
https://doi.org/10.5194/tc-12-3841-2018 http://infoscience.epfl.ch/record/264619 |
genre |
Ice Shelves |
genre_facet |
Ice Shelves |
op_source |
http://infoscience.epfl.ch/record/264619 |
op_relation |
doi:10.5194/tc-12-3841-2018 http://infoscience.epfl.ch/record/264619 |
op_doi |
https://doi.org/10.5194/tc-12-3841-2018 |
container_title |
The Cryosphere |
container_volume |
12 |
container_issue |
12 |
container_start_page |
3841 |
op_container_end_page |
3851 |
_version_ |
1766032452187324416 |