The Impact of Lead Patterns on Mean Profiles of Wind, Temperature, and Turbulent Fluxes in the Atmospheric Boundary Layer over Sea Ice
In the polar regions, the atmospheric boundary layer (ABL) characteristics are strongly influenced by convection over leads, which are elongated channels in the sea ice covered ocean. The effects on the ABL depend on meteorological forcing and lead geometry. In non-convection-resolving models, in wh...
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ftmdpi:oai:mdpi.com:/2073-4433/13/1/148/ 2023-08-20T04:09:41+02:00 The Impact of Lead Patterns on Mean Profiles of Wind, Temperature, and Turbulent Fluxes in the Atmospheric Boundary Layer over Sea Ice Janosch Michaelis Christof Lüpkes agris 2022-01-17 application/pdf https://doi.org/10.3390/atmos13010148 EN eng Multidisciplinary Digital Publishing Institute Atmospheric Techniques, Instruments, and Modeling https://dx.doi.org/10.3390/atmos13010148 https://creativecommons.org/licenses/by/4.0/ Atmosphere; Volume 13; Issue 1; Pages: 148 atmospheric boundary layer sea ice leads turbulent fluxes microscale modeling regional climate modeling convection over leads sea ice turbulence parameterization vertical entrainment counter-gradient transport Text 2022 ftmdpi https://doi.org/10.3390/atmos13010148 2023-08-01T03:51:57Z In the polar regions, the atmospheric boundary layer (ABL) characteristics are strongly influenced by convection over leads, which are elongated channels in the sea ice covered ocean. The effects on the ABL depend on meteorological forcing and lead geometry. In non-convection-resolving models, in which several leads of potentially different characteristics might be present in a single grid cell, such surface characteristics and the corresponding ABL patterns are not resolved. Our main goal is to investigate potential implications for such models when these subgrid-scale patterns are not considered appropriately. We performed non-eddy-resolving microscale simulations over five different domains with leads of different widths separated by 100% sea ice. We also performed coarser-resolved simulations over a domain representing a few grid cells of a regional climate model, wherein leads were not resolved but accounted for via a fractional sea ice cover of 91% in each cell. Domain size and mean sea ice concentration were the same in all simulations. Differences in the domain-averaged ABL profiles and patterns of wind, temperature, and turbulent fluxes indicate a strong impact of both the leads and their geometry. Additional evaluations of different turbulence parameterizations show large effects by both gradient-independent heat transport and vertical entrainment. Text Sea ice MDPI Open Access Publishing Atmosphere 13 1 148 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
atmospheric boundary layer sea ice leads turbulent fluxes microscale modeling regional climate modeling convection over leads sea ice turbulence parameterization vertical entrainment counter-gradient transport |
spellingShingle |
atmospheric boundary layer sea ice leads turbulent fluxes microscale modeling regional climate modeling convection over leads sea ice turbulence parameterization vertical entrainment counter-gradient transport Janosch Michaelis Christof Lüpkes The Impact of Lead Patterns on Mean Profiles of Wind, Temperature, and Turbulent Fluxes in the Atmospheric Boundary Layer over Sea Ice |
topic_facet |
atmospheric boundary layer sea ice leads turbulent fluxes microscale modeling regional climate modeling convection over leads sea ice turbulence parameterization vertical entrainment counter-gradient transport |
description |
In the polar regions, the atmospheric boundary layer (ABL) characteristics are strongly influenced by convection over leads, which are elongated channels in the sea ice covered ocean. The effects on the ABL depend on meteorological forcing and lead geometry. In non-convection-resolving models, in which several leads of potentially different characteristics might be present in a single grid cell, such surface characteristics and the corresponding ABL patterns are not resolved. Our main goal is to investigate potential implications for such models when these subgrid-scale patterns are not considered appropriately. We performed non-eddy-resolving microscale simulations over five different domains with leads of different widths separated by 100% sea ice. We also performed coarser-resolved simulations over a domain representing a few grid cells of a regional climate model, wherein leads were not resolved but accounted for via a fractional sea ice cover of 91% in each cell. Domain size and mean sea ice concentration were the same in all simulations. Differences in the domain-averaged ABL profiles and patterns of wind, temperature, and turbulent fluxes indicate a strong impact of both the leads and their geometry. Additional evaluations of different turbulence parameterizations show large effects by both gradient-independent heat transport and vertical entrainment. |
format |
Text |
author |
Janosch Michaelis Christof Lüpkes |
author_facet |
Janosch Michaelis Christof Lüpkes |
author_sort |
Janosch Michaelis |
title |
The Impact of Lead Patterns on Mean Profiles of Wind, Temperature, and Turbulent Fluxes in the Atmospheric Boundary Layer over Sea Ice |
title_short |
The Impact of Lead Patterns on Mean Profiles of Wind, Temperature, and Turbulent Fluxes in the Atmospheric Boundary Layer over Sea Ice |
title_full |
The Impact of Lead Patterns on Mean Profiles of Wind, Temperature, and Turbulent Fluxes in the Atmospheric Boundary Layer over Sea Ice |
title_fullStr |
The Impact of Lead Patterns on Mean Profiles of Wind, Temperature, and Turbulent Fluxes in the Atmospheric Boundary Layer over Sea Ice |
title_full_unstemmed |
The Impact of Lead Patterns on Mean Profiles of Wind, Temperature, and Turbulent Fluxes in the Atmospheric Boundary Layer over Sea Ice |
title_sort |
impact of lead patterns on mean profiles of wind, temperature, and turbulent fluxes in the atmospheric boundary layer over sea ice |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2022 |
url |
https://doi.org/10.3390/atmos13010148 |
op_coverage |
agris |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Atmosphere; Volume 13; Issue 1; Pages: 148 |
op_relation |
Atmospheric Techniques, Instruments, and Modeling https://dx.doi.org/10.3390/atmos13010148 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/atmos13010148 |
container_title |
Atmosphere |
container_volume |
13 |
container_issue |
1 |
container_start_page |
148 |
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1774723303542358016 |