Interactions between Antarctic sea ice and large-scale atmospheric modes in CMIP5 models
The response of Antarctic sea ice to large-scale patterns of atmospheric variability varies according to sea ice sector and season. In this study, interannual atmosphere–sea ice interactions were explored using observations and reanalysis data, and compared with simulated interactions by models in t...
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ftcopernicus:oai:publications.copernicus.org:tc54346 2023-05-15T13:54:27+02:00 Interactions between Antarctic sea ice and large-scale atmospheric modes in CMIP5 models Schroeter, Serena Hobbs, Will Bindoff, Nathaniel L. 2018-09-27 application/pdf https://doi.org/10.5194/tc-11-789-2017 https://tc.copernicus.org/articles/11/789/2017/ eng eng doi:10.5194/tc-11-789-2017 https://tc.copernicus.org/articles/11/789/2017/ eISSN: 1994-0424 Text 2018 ftcopernicus https://doi.org/10.5194/tc-11-789-2017 2020-07-20T16:23:47Z The response of Antarctic sea ice to large-scale patterns of atmospheric variability varies according to sea ice sector and season. In this study, interannual atmosphere–sea ice interactions were explored using observations and reanalysis data, and compared with simulated interactions by models in the Coupled Model Intercomparison Project Phase 5 (CMIP5). Simulated relationships between atmospheric variability and sea ice variability generally reproduced the observed relationships, though more closely during the season of sea ice advance than the season of sea ice retreat. Atmospheric influence on sea ice is known to be strongest during advance, and it appears that models are able to capture the dominance of the atmosphere during advance. Simulations of ocean–atmosphere–sea ice interactions during retreat, however, require further investigation. A large proportion of model ensemble members overestimated the relative importance of the Southern Annular Mode (SAM) compared with other modes of high southern latitude climate, while the influence of tropical forcing was underestimated. This result emerged particularly strongly during the season of sea ice retreat. The zonal patterns of the SAM in many models and its exaggerated influence on sea ice overwhelm the comparatively underestimated meridional influence, suggesting that simulated sea ice variability would become more zonally symmetric as a result. Across the seasons of sea ice advance and retreat, three of the five sectors did not reveal a strong relationship with a pattern of large-scale atmospheric variability in one or both seasons, indicating that sea ice in these sectors may be influenced more strongly by atmospheric variability unexplained by the major atmospheric modes, or by heat exchange in the ocean. Text Antarc* Antarctic Sea ice Copernicus Publications: E-Journals Antarctic The Cryosphere 11 2 789 803 |
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Open Polar |
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Copernicus Publications: E-Journals |
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ftcopernicus |
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English |
description |
The response of Antarctic sea ice to large-scale patterns of atmospheric variability varies according to sea ice sector and season. In this study, interannual atmosphere–sea ice interactions were explored using observations and reanalysis data, and compared with simulated interactions by models in the Coupled Model Intercomparison Project Phase 5 (CMIP5). Simulated relationships between atmospheric variability and sea ice variability generally reproduced the observed relationships, though more closely during the season of sea ice advance than the season of sea ice retreat. Atmospheric influence on sea ice is known to be strongest during advance, and it appears that models are able to capture the dominance of the atmosphere during advance. Simulations of ocean–atmosphere–sea ice interactions during retreat, however, require further investigation. A large proportion of model ensemble members overestimated the relative importance of the Southern Annular Mode (SAM) compared with other modes of high southern latitude climate, while the influence of tropical forcing was underestimated. This result emerged particularly strongly during the season of sea ice retreat. The zonal patterns of the SAM in many models and its exaggerated influence on sea ice overwhelm the comparatively underestimated meridional influence, suggesting that simulated sea ice variability would become more zonally symmetric as a result. Across the seasons of sea ice advance and retreat, three of the five sectors did not reveal a strong relationship with a pattern of large-scale atmospheric variability in one or both seasons, indicating that sea ice in these sectors may be influenced more strongly by atmospheric variability unexplained by the major atmospheric modes, or by heat exchange in the ocean. |
format |
Text |
author |
Schroeter, Serena Hobbs, Will Bindoff, Nathaniel L. |
spellingShingle |
Schroeter, Serena Hobbs, Will Bindoff, Nathaniel L. Interactions between Antarctic sea ice and large-scale atmospheric modes in CMIP5 models |
author_facet |
Schroeter, Serena Hobbs, Will Bindoff, Nathaniel L. |
author_sort |
Schroeter, Serena |
title |
Interactions between Antarctic sea ice and large-scale atmospheric modes in CMIP5 models |
title_short |
Interactions between Antarctic sea ice and large-scale atmospheric modes in CMIP5 models |
title_full |
Interactions between Antarctic sea ice and large-scale atmospheric modes in CMIP5 models |
title_fullStr |
Interactions between Antarctic sea ice and large-scale atmospheric modes in CMIP5 models |
title_full_unstemmed |
Interactions between Antarctic sea ice and large-scale atmospheric modes in CMIP5 models |
title_sort |
interactions between antarctic sea ice and large-scale atmospheric modes in cmip5 models |
publishDate |
2018 |
url |
https://doi.org/10.5194/tc-11-789-2017 https://tc.copernicus.org/articles/11/789/2017/ |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic Sea ice |
genre_facet |
Antarc* Antarctic Sea ice |
op_source |
eISSN: 1994-0424 |
op_relation |
doi:10.5194/tc-11-789-2017 https://tc.copernicus.org/articles/11/789/2017/ |
op_doi |
https://doi.org/10.5194/tc-11-789-2017 |
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The Cryosphere |
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11 |
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2 |
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789 |
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803 |
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1766260326902267904 |