Impact of surface wind biases on the Antarctic sea ice concentration budget in climate models
We derive the terms in the Antarctic sea ice concentration budget from the output of three models, and compare them to observations of the same terms. Those models include two climate models from the 5th Coupled Model Intercomparison Project (CMIP5) and one ocean–sea ice coupled model with prescri...
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Online Access: | http://hdl.handle.net/2078.1/176371 https://doi.org/10.1016/j.ocemod.2016.08.001 |
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ftunistlouisbrus:oai:dial.uclouvain.be:boreal:176371 2024-05-12T07:54:18+00:00 Impact of surface wind biases on the Antarctic sea ice concentration budget in climate models Lecomte, Olivier Goosse, Hugues Fichefet, Thierry Holland, P.R. Uotila, P. Zunz, V. Kimura, N. UCL - SST/ELI/ELIC - Earth & Climate 2016 http://hdl.handle.net/2078.1/176371 https://doi.org/10.1016/j.ocemod.2016.08.001 eng eng Elsevier Inc. boreal:176371 http://hdl.handle.net/2078.1/176371 doi:10.1016/j.ocemod.2016.08.001 urn:ISSN:1463-5003 urn:EISSN:1463-5011 info:eu-repo/semantics/restrictedAccess Ocean Modelling, Vol. 105, p. 60-70 (2016) Antarctic Sea ice Wind Models CECI : CISM 1443 info:eu-repo/semantics/article 2016 ftunistlouisbrus https://doi.org/10.1016/j.ocemod.2016.08.001 2024-04-18T17:40:53Z We derive the terms in the Antarctic sea ice concentration budget from the output of three models, and compare them to observations of the same terms. Those models include two climate models from the 5th Coupled Model Intercomparison Project (CMIP5) and one ocean–sea ice coupled model with prescribed atmospheric forcing. Sea ice drift and wind fields from those models, in average over April-October 1992- 2005, all exhibit large differences with the available observational or reanalysis datasets. However, the discrepancies between the two distinct ice drift products or the two wind reanalyses used here are some- times even greater than those differences. Two major findings stand out from the analysis. Firstly, large biases in sea ice drift speed and direction in exterior sectors of the sea ice covered region tend to be systematic and consistent with those in winds. This suggests that sea ice errors in these areas are most likely wind-driven, so as errors in the simulated ice motion vectors. The systematic nature of these biases is less prominent in interior sectors, nearer the coast, where sea ice is mechanically constrained and its motion in response to the wind forcing more depending on the model rheology. Second, the intimate relationship between winds, sea ice drift and the sea ice concentration budget gives insight on ways to categorize models with regard to errors in their ice dynamics. In exterior regions, models with seem- ingly too weak winds and slow ice drift consistently yield a lack of ice velocity divergence and hence a wrong wintertime sea ice growth rate. In interior sectors, too slow ice drift, presumably originating from issues in the physical representation of sea ice dynamics as much as from errors in surface winds, leads to wrong timing of the late winter ice retreat. Those results illustrate that the applied methodology pro- vides a valuable tool for prioritizing model improvements based on the ice concentration budget–ice drift biases–wind biases relationship prevailing in the ... Article in Journal/Newspaper Antarc* Antarctic Sea ice DIAL@USL-B (Université Saint-Louis, Bruxelles) Antarctic The Antarctic Ocean Modelling 105 60 70 |
institution |
Open Polar |
collection |
DIAL@USL-B (Université Saint-Louis, Bruxelles) |
op_collection_id |
ftunistlouisbrus |
language |
English |
topic |
Antarctic Sea ice Wind Models CECI : CISM 1443 |
spellingShingle |
Antarctic Sea ice Wind Models CECI : CISM 1443 Lecomte, Olivier Goosse, Hugues Fichefet, Thierry Holland, P.R. Uotila, P. Zunz, V. Kimura, N. Impact of surface wind biases on the Antarctic sea ice concentration budget in climate models |
topic_facet |
Antarctic Sea ice Wind Models CECI : CISM 1443 |
description |
We derive the terms in the Antarctic sea ice concentration budget from the output of three models, and compare them to observations of the same terms. Those models include two climate models from the 5th Coupled Model Intercomparison Project (CMIP5) and one ocean–sea ice coupled model with prescribed atmospheric forcing. Sea ice drift and wind fields from those models, in average over April-October 1992- 2005, all exhibit large differences with the available observational or reanalysis datasets. However, the discrepancies between the two distinct ice drift products or the two wind reanalyses used here are some- times even greater than those differences. Two major findings stand out from the analysis. Firstly, large biases in sea ice drift speed and direction in exterior sectors of the sea ice covered region tend to be systematic and consistent with those in winds. This suggests that sea ice errors in these areas are most likely wind-driven, so as errors in the simulated ice motion vectors. The systematic nature of these biases is less prominent in interior sectors, nearer the coast, where sea ice is mechanically constrained and its motion in response to the wind forcing more depending on the model rheology. Second, the intimate relationship between winds, sea ice drift and the sea ice concentration budget gives insight on ways to categorize models with regard to errors in their ice dynamics. In exterior regions, models with seem- ingly too weak winds and slow ice drift consistently yield a lack of ice velocity divergence and hence a wrong wintertime sea ice growth rate. In interior sectors, too slow ice drift, presumably originating from issues in the physical representation of sea ice dynamics as much as from errors in surface winds, leads to wrong timing of the late winter ice retreat. Those results illustrate that the applied methodology pro- vides a valuable tool for prioritizing model improvements based on the ice concentration budget–ice drift biases–wind biases relationship prevailing in the ... |
author2 |
UCL - SST/ELI/ELIC - Earth & Climate |
format |
Article in Journal/Newspaper |
author |
Lecomte, Olivier Goosse, Hugues Fichefet, Thierry Holland, P.R. Uotila, P. Zunz, V. Kimura, N. |
author_facet |
Lecomte, Olivier Goosse, Hugues Fichefet, Thierry Holland, P.R. Uotila, P. Zunz, V. Kimura, N. |
author_sort |
Lecomte, Olivier |
title |
Impact of surface wind biases on the Antarctic sea ice concentration budget in climate models |
title_short |
Impact of surface wind biases on the Antarctic sea ice concentration budget in climate models |
title_full |
Impact of surface wind biases on the Antarctic sea ice concentration budget in climate models |
title_fullStr |
Impact of surface wind biases on the Antarctic sea ice concentration budget in climate models |
title_full_unstemmed |
Impact of surface wind biases on the Antarctic sea ice concentration budget in climate models |
title_sort |
impact of surface wind biases on the antarctic sea ice concentration budget in climate models |
publisher |
Elsevier Inc. |
publishDate |
2016 |
url |
http://hdl.handle.net/2078.1/176371 https://doi.org/10.1016/j.ocemod.2016.08.001 |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic Sea ice |
genre_facet |
Antarc* Antarctic Sea ice |
op_source |
Ocean Modelling, Vol. 105, p. 60-70 (2016) |
op_relation |
boreal:176371 http://hdl.handle.net/2078.1/176371 doi:10.1016/j.ocemod.2016.08.001 urn:ISSN:1463-5003 urn:EISSN:1463-5011 |
op_rights |
info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.1016/j.ocemod.2016.08.001 |
container_title |
Ocean Modelling |
container_volume |
105 |
container_start_page |
60 |
op_container_end_page |
70 |
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1798848191291981824 |