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 and p...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.471.5416 2023-05-15T13:57:36+02:00 Climate Impacts of the Southern Annular Mode Simulated by the CMIP3 Models Alexey Yu Karpechko Nathan P. Gillett Gareth J. Marshall James A. Screen The Pennsylvania State University CiteSeerX Archives 2008 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.471.5416 http://www.cccma.ec.gc.ca/papers/ngillett/PDFS/i1520-0442-22-13-3751.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.471.5416 http://www.cccma.ec.gc.ca/papers/ngillett/PDFS/i1520-0442-22-13-3751.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.cccma.ec.gc.ca/papers/ngillett/PDFS/i1520-0442-22-13-3751.pdf text 2008 ftciteseerx 2016-01-08T07:19:04Z 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 208S. 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. 1. Text Antarc* Antarctic Antarctica Sea ice Unknown Antarctic The Antarctic |
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English |
description |
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 208S. 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. 1. |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Alexey Yu Karpechko Nathan P. Gillett Gareth J. Marshall James A. Screen |
spellingShingle |
Alexey Yu Karpechko Nathan P. Gillett Gareth J. Marshall James A. Screen Climate Impacts of the Southern Annular Mode Simulated by the CMIP3 Models |
author_facet |
Alexey Yu Karpechko Nathan P. Gillett Gareth J. Marshall James A. Screen |
author_sort |
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 |
2008 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.471.5416 http://www.cccma.ec.gc.ca/papers/ngillett/PDFS/i1520-0442-22-13-3751.pdf |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic Antarctica Sea ice |
genre_facet |
Antarc* Antarctic Antarctica Sea ice |
op_source |
http://www.cccma.ec.gc.ca/papers/ngillett/PDFS/i1520-0442-22-13-3751.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.471.5416 http://www.cccma.ec.gc.ca/papers/ngillett/PDFS/i1520-0442-22-13-3751.pdf |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766265315131392000 |