Representation of subgrid-scale sea ice-ocean interactions in large-scale models
Polar oceans are partly covered with sea ice that results from the freezing of seawater. Sea ice is a leading player both in the climate of polar regions and for the Earth climate system as a whole. It acts as an insulating layer between the ocean and the atmosphere and it strongly influences the up...
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2016
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Online Access: | http://hdl.handle.net/2078.1/171915 |
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ftunistlouisbrus:oai:dial.uclouvain.be:boreal:171915 2024-05-12T07:56:29+00:00 Representation of subgrid-scale sea ice-ocean interactions in large-scale models Barthélemy, Antoine UCL - SST/ELI/ELIC - Earth & Climate UCL - Faculté des Sciences Fichefet, Thierry Goosse, Hugues De Keersmaecker, Marie-Laurence Deleersnijder, Eric Le Sommer, Julien Vancoppenolle, Martin Madec, Gurvan 2016 http://hdl.handle.net/2078.1/171915 eng eng boreal:171915 http://hdl.handle.net/2078.1/171915 info:eu-repo/semantics/openAccess Model Ice thickness distribution Subgrid-scale Ocean vertical mixing Arctic Antarctic info:eu-repo/semantics/doctoralThesis 2016 ftunistlouisbrus 2024-04-18T17:42:54Z Polar oceans are partly covered with sea ice that results from the freezing of seawater. Sea ice is a leading player both in the climate of polar regions and for the Earth climate system as a whole. It acts as an insulating layer between the ocean and the atmosphere and it strongly influences the upper ocean physics. Because it is moved and deformed by winds and currents, the sea ice cover turns out to be an extremely heterogeneous medium. Sea ice models have been developed for decades, reaching nowadays a high level of complexity. In particular, the most advanced of them include a representation of the small-scale spatial variability in ice properties. The heterogeneous nature of sea ice-ocean exchanges has however been so far overlooked. This hampers the simulation of potentially important processes and introduces uncertainties in the predictions based on these models. The objective of this doctoral thesis was to investigate how subgrid-scale sea ice-ocean interactions can be represented in climate models, and to assess their impacts on the oceanography of polar regions. To this end, schemes of increasing complexity have been introduced in a state-of-the-art ocean and sea ice model. Our results show that the spatial heterogeneity of ice-ocean processes has a large-scale influence on the upper layer of the ocean as well as on the sea ice cover itself. The tools developed in this study provide concrete ways of improving the physical accuracy of current models. (SC - Sciences) -- UCL, 2016 Doctoral or Postdoctoral Thesis Antarc* Antarctic Arctic Sea ice DIAL@USL-B (Université Saint-Louis, Bruxelles) Antarctic Arctic |
institution |
Open Polar |
collection |
DIAL@USL-B (Université Saint-Louis, Bruxelles) |
op_collection_id |
ftunistlouisbrus |
language |
English |
topic |
Model Ice thickness distribution Subgrid-scale Ocean vertical mixing Arctic Antarctic |
spellingShingle |
Model Ice thickness distribution Subgrid-scale Ocean vertical mixing Arctic Antarctic Barthélemy, Antoine Representation of subgrid-scale sea ice-ocean interactions in large-scale models |
topic_facet |
Model Ice thickness distribution Subgrid-scale Ocean vertical mixing Arctic Antarctic |
description |
Polar oceans are partly covered with sea ice that results from the freezing of seawater. Sea ice is a leading player both in the climate of polar regions and for the Earth climate system as a whole. It acts as an insulating layer between the ocean and the atmosphere and it strongly influences the upper ocean physics. Because it is moved and deformed by winds and currents, the sea ice cover turns out to be an extremely heterogeneous medium. Sea ice models have been developed for decades, reaching nowadays a high level of complexity. In particular, the most advanced of them include a representation of the small-scale spatial variability in ice properties. The heterogeneous nature of sea ice-ocean exchanges has however been so far overlooked. This hampers the simulation of potentially important processes and introduces uncertainties in the predictions based on these models. The objective of this doctoral thesis was to investigate how subgrid-scale sea ice-ocean interactions can be represented in climate models, and to assess their impacts on the oceanography of polar regions. To this end, schemes of increasing complexity have been introduced in a state-of-the-art ocean and sea ice model. Our results show that the spatial heterogeneity of ice-ocean processes has a large-scale influence on the upper layer of the ocean as well as on the sea ice cover itself. The tools developed in this study provide concrete ways of improving the physical accuracy of current models. (SC - Sciences) -- UCL, 2016 |
author2 |
UCL - SST/ELI/ELIC - Earth & Climate UCL - Faculté des Sciences Fichefet, Thierry Goosse, Hugues De Keersmaecker, Marie-Laurence Deleersnijder, Eric Le Sommer, Julien Vancoppenolle, Martin Madec, Gurvan |
format |
Doctoral or Postdoctoral Thesis |
author |
Barthélemy, Antoine |
author_facet |
Barthélemy, Antoine |
author_sort |
Barthélemy, Antoine |
title |
Representation of subgrid-scale sea ice-ocean interactions in large-scale models |
title_short |
Representation of subgrid-scale sea ice-ocean interactions in large-scale models |
title_full |
Representation of subgrid-scale sea ice-ocean interactions in large-scale models |
title_fullStr |
Representation of subgrid-scale sea ice-ocean interactions in large-scale models |
title_full_unstemmed |
Representation of subgrid-scale sea ice-ocean interactions in large-scale models |
title_sort |
representation of subgrid-scale sea ice-ocean interactions in large-scale models |
publishDate |
2016 |
url |
http://hdl.handle.net/2078.1/171915 |
geographic |
Antarctic Arctic |
geographic_facet |
Antarctic Arctic |
genre |
Antarc* Antarctic Arctic Sea ice |
genre_facet |
Antarc* Antarctic Arctic Sea ice |
op_relation |
boreal:171915 http://hdl.handle.net/2078.1/171915 |
op_rights |
info:eu-repo/semantics/openAccess |
_version_ |
1798836577991917568 |