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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Main Authors: Alexey Yu, Karpechko, Nathan P. Gillett, Gareth J. Marshall, James A. Screen
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 2008
Subjects:
Online Access: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
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spelling 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
institution Open Polar
collection Unknown
op_collection_id ftciteseerx
language 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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