Climate impacts of the southern annular mode simulated by the CMIP3 models
The southern annular mode (SAM) has a well-established impact on climate in the Southern Hemisphere. The strongest response in surface air temperature (SAT) is observed in the Antarctic, but the SAM's area of influence extends much farther, with statistically significant effects on temperature...
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ftuniveastangl:oai:ueaeprints.uea.ac.uk:24363 2023-05-15T13:52:43+02:00 Climate impacts of the southern annular mode simulated by the CMIP3 models Karpechko, Alexey Yu Gillett, Nathan P. Marshall, Gareth J. Screen, James A. 2009 https://ueaeprints.uea.ac.uk/id/eprint/24363/ https://doi.org/10.1175/2009JCLI2788.1 unknown Karpechko, Alexey Yu, Gillett, Nathan P., Marshall, Gareth J. and Screen, James A. (2009) Climate impacts of the southern annular mode simulated by the CMIP3 models. Journal of Climate, 22 (13). pp. 3751-3768. ISSN 1520-0442 doi:10.1175/2009JCLI2788.1 Article PeerReviewed 2009 ftuniveastangl https://doi.org/10.1175/2009JCLI2788.1 2023-01-30T21:26:13Z The southern annular mode (SAM) has a well-established impact on climate in the Southern Hemisphere. The strongest response in surface air temperature (SAT) is observed in the Antarctic, but the SAM's area of influence extends much farther, with statistically significant effects on temperature and precipitation being detected as far north as 20°S. Here the authors quantify the ability of the Coupled Model Intercomparison Project, phase 3 (CMIP3) coupled climate models to simulate the observed SAT, total precipitation, sea surface temperature (SST), and sea ice concentration responses to the SAM. The models are able to simulate the spatial pattern of response in SAT reasonably well; however, all models underestimate the magnitude of the response over Antarctica, both at the surface and in the free troposphere. This underestimation of the temperature response has implications for prediction of the future temperature changes associated with expected changes in the SAM. The models possess reasonable skill in simulating patterns of precipitation and SST response; however, some considerable regional deviations exist. The simulated precipitation and SST responses are less constrained by the observations than the SAT response, particularly in magnitude, as significant discrepancies are detected between the responses in the reference datasets. The largest problems are identified in simulating the sea ice response to the SAM, with some models even simulating a response that is negatively correlated with that observed. Article in Journal/Newspaper Antarc* Antarctic Antarctica Sea ice University of East Anglia: UEA Digital Repository Antarctic The Antarctic Journal of Climate 22 13 3751 3768 |
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University of East Anglia: UEA Digital Repository |
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The southern annular mode (SAM) has a well-established impact on climate in the Southern Hemisphere. The strongest response in surface air temperature (SAT) is observed in the Antarctic, but the SAM's area of influence extends much farther, with statistically significant effects on temperature and precipitation being detected as far north as 20°S. Here the authors quantify the ability of the Coupled Model Intercomparison Project, phase 3 (CMIP3) coupled climate models to simulate the observed SAT, total precipitation, sea surface temperature (SST), and sea ice concentration responses to the SAM. The models are able to simulate the spatial pattern of response in SAT reasonably well; however, all models underestimate the magnitude of the response over Antarctica, both at the surface and in the free troposphere. This underestimation of the temperature response has implications for prediction of the future temperature changes associated with expected changes in the SAM. The models possess reasonable skill in simulating patterns of precipitation and SST response; however, some considerable regional deviations exist. The simulated precipitation and SST responses are less constrained by the observations than the SAT response, particularly in magnitude, as significant discrepancies are detected between the responses in the reference datasets. The largest problems are identified in simulating the sea ice response to the SAM, with some models even simulating a response that is negatively correlated with that observed. |
format |
Article in Journal/Newspaper |
author |
Karpechko, Alexey Yu Gillett, Nathan P. Marshall, Gareth J. Screen, James A. |
spellingShingle |
Karpechko, Alexey Yu Gillett, Nathan P. Marshall, Gareth J. Screen, James A. Climate impacts of the southern annular mode simulated by the CMIP3 models |
author_facet |
Karpechko, Alexey Yu Gillett, Nathan P. Marshall, Gareth J. Screen, James A. |
author_sort |
Karpechko, Alexey Yu |
title |
Climate impacts of the southern annular mode simulated by the CMIP3 models |
title_short |
Climate impacts of the southern annular mode simulated by the CMIP3 models |
title_full |
Climate impacts of the southern annular mode simulated by the CMIP3 models |
title_fullStr |
Climate impacts of the southern annular mode simulated by the CMIP3 models |
title_full_unstemmed |
Climate impacts of the southern annular mode simulated by the CMIP3 models |
title_sort |
climate impacts of the southern annular mode simulated by the cmip3 models |
publishDate |
2009 |
url |
https://ueaeprints.uea.ac.uk/id/eprint/24363/ https://doi.org/10.1175/2009JCLI2788.1 |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic Antarctica Sea ice |
genre_facet |
Antarc* Antarctic Antarctica Sea ice |
op_relation |
Karpechko, Alexey Yu, Gillett, Nathan P., Marshall, Gareth J. and Screen, James A. (2009) Climate impacts of the southern annular mode simulated by the CMIP3 models. Journal of Climate, 22 (13). pp. 3751-3768. ISSN 1520-0442 doi:10.1175/2009JCLI2788.1 |
op_doi |
https://doi.org/10.1175/2009JCLI2788.1 |
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Journal of Climate |
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22 |
container_issue |
13 |
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3751 |
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3768 |
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1766257190278004736 |