Southern Ocean Wind Stress in CMIP5 Models: Role of Wind Fluctuations
被引:6
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作者:
Lin, Xia
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机构:
Hohai Univ, Coll Oceanog, Nanjing, Peoples R China
Hohai Univ, Int Polar Environm Res Lab, Nanjing, Peoples R ChinaHohai Univ, Coll Oceanog, Nanjing, Peoples R China
Lin, Xia
[1
,2
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Zhai, Xiaoming
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机构:
Univ East Anglia, Ctr Ocean & Atmospher Sci, Sch Environm Sci, Norwich, Norfolk, EnglandHohai Univ, Coll Oceanog, Nanjing, Peoples R China
Zhai, Xiaoming
[3
]
Wang, Zhaomin
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机构:
Hohai Univ, Coll Oceanog, Nanjing, Peoples R China
Hohai Univ, Int Polar Environm Res Lab, Nanjing, Peoples R ChinaHohai Univ, Coll Oceanog, Nanjing, Peoples R China
Wang, Zhaomin
[1
,2
]
Munday, David R.
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机构:
British Antarctic Survey, Cambridge, EnglandHohai Univ, Coll Oceanog, Nanjing, Peoples R China
Munday, David R.
[4
]
机构:
[1] Hohai Univ, Coll Oceanog, Nanjing, Peoples R China
[2] Hohai Univ, Int Polar Environm Res Lab, Nanjing, Peoples R China
[3] Univ East Anglia, Ctr Ocean & Atmospher Sci, Sch Environm Sci, Norwich, Norfolk, England
The Southern Ocean (SO) surface wind stress is a major atmospheric forcing for driving the Antarctic Circumpolar Current and the global overturning circulation. Here the effects of wind fluctuations at different time scales on SO wind stress in 18 models from phase 5 of the Coupled Model Intercomparison Project (CMIP5) are investigated. It is found that including wind fluctuations, especially on time scales associated with synoptic storms, in the stress calculation strongly enhances the mean strength, modulates the seasonal cycle, and significantly amplifies the trends of SO wind stress. In 11 out of the 18 CMIP5 models, the SO wind stress has strengthened significantly over the period of 1960-2005. Among them, the strengthening trend of SO wind stress in one CMIP5 model is due to the increase in the intensity of wind fluctuations, while in all the other 10 models the strengthening trend is due to the increasing strength of the mean westerly wind. These discrepancies in SO wind stress trend in CMIP5 models may explain some of the diverging behaviors in the model-simulated SO circulation. Our results suggest that to reduce the uncertainty in SO responses to wind stress changes in the coupled models, both the mean wind and wind fluctuations need to be better simulated.
机构:
Univ New South Wales, ARC Ctr Excellence Climate Syst Sci, Sydney, NSW, Australia
Univ New South Wales, Climate Change Res Ctr, Sydney, NSW, AustraliaUniv New South Wales, ARC Ctr Excellence Climate Syst Sci, Sydney, NSW, Australia
Abellan, Esteban
McGregor, Shayne
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机构:
Monash Univ, Sch Earth Atmosphere & Environm, Clayton, Vic, AustraliaUniv New South Wales, ARC Ctr Excellence Climate Syst Sci, Sydney, NSW, Australia
McGregor, Shayne
England, Matthew H.
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机构:
Univ New South Wales, ARC Ctr Excellence Climate Syst Sci, Sydney, NSW, Australia
Univ New South Wales, Climate Change Res Ctr, Sydney, NSW, AustraliaUniv New South Wales, ARC Ctr Excellence Climate Syst Sci, Sydney, NSW, Australia
机构:
State Univ Rio de Janeiro UERJ, Sch Oceanog, Rio De Janeiro, BrazilState Univ Rio de Janeiro UERJ, Sch Oceanog, Rio De Janeiro, Brazil
Pontes, G. M.
Sen Gupta, A.
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机构:
Univ New South Wales, Climate Change Res Ctr, Sydney, NSW, Australia
Univ New South Wales, Australian Res Council, Ctr Excellence Climate Syst Sci, Sydney, NSW, AustraliaState Univ Rio de Janeiro UERJ, Sch Oceanog, Rio De Janeiro, Brazil
Sen Gupta, A.
Taschetto, A. S.
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机构:
Univ New South Wales, Climate Change Res Ctr, Sydney, NSW, Australia
Univ New South Wales, Australian Res Council, Ctr Excellence Climate Syst Sci, Sydney, NSW, AustraliaState Univ Rio de Janeiro UERJ, Sch Oceanog, Rio De Janeiro, Brazil
机构:
Inst Atmospher Phys, LASG, Beijing, Peoples R China
Univ Chinese Acad Sci, Coll Earth Sci, Beijing, Peoples R ChinaInst Atmospher Phys, LASG, Beijing, Peoples R China
Tang Shao-Lei
Yu Yong-Qiang
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机构:
Inst Atmospher Phys, LASG, Beijing, Peoples R China
Univ Chinese Acad Sci, Coll Earth Sci, Beijing, Peoples R ChinaInst Atmospher Phys, LASG, Beijing, Peoples R China