GSTDTAP  > 气候变化
DOI10.1007/s00382-018-4201-8
Contrasting spatial structures of Atlantic Multidecadal Oscillation between observations and slab ocean model simulations
Sun, Cheng1; Li, Jianping1,2; Kucharski, Fred3,4; Xue, Jiaqing5,7; Li, Xiang6
2019-02-01
发表期刊CLIMATE DYNAMICS
ISSN0930-7575
EISSN1432-0894
出版年2019
卷号52页码:1395-1411
文章类型Article
语种英语
国家Peoples R China; Italy; Saudi Arabia
英文摘要

The spatial structure of Atlantic multidecadal oscillation (AMO) is analyzed and compared between the observations and simulations from slab ocean models (SOMs) and fully coupled models. The observed sea surface temperature (SST) pattern of AMO is characterized by a basin-wide monopole structure, and there is a significantly high degree of spatial coherence of decadal SST variations across the entire North Atlantic basin. The observed SST anomalies share a common decadal-scale signal, corresponding to the basin-wide average (i. e., the AMO). In contrast, the simulated AMO in SOMs (AMO(s)) exhibits a tripole-like structure, with the mid-latitude North Atlantic SST showing an inverse relationship with other parts of the basin, and the SOMs fail to reproduce the observed strong spatial coherence of decadal SST variations associated with the AMO. The observed spatial coherence of AMO SST anomalies is identified as a key feature that can be used to distinguish the AMO mechanism. The tripole-like SST pattern of AMO(s) in SOMs can be largely explained by the atmosphere-forced thermodynamics mechanism due to the surface heat flux changes associated with the North Atlantic Oscillation (NAO). The thermodynamic forcing of AMO(s) by the NAO gives rise to a simultaneous inverse NAO-AMO(s) relationship at both interannual and decadal timescales and a seasonal phase locking of the AMO(s) variability to the cold season. However, the NAO-forced thermodynamics mechanism cannot explain the observed NAO-AMO relationship and the seasonal phase locking of observed AMO variability to the warm season. At decadal timescales, a strong lagged relationship between NAO and AMO is observed, with the NAO leading by up to two decades, while the simultaneous correlation of NAO with AMO is weak. This lagged relationship and the spatial coherence of AMO can be well understood from the view point of ocean dynamics. A time-integrated NAO index, which reflects the variations in Atlantic meridional overturning circulation (AMOC) and northward ocean heat transport caused by the accumulated effect of NAO forcing, reasonably well captures the observed multidecadal fluctuations in the AMO. Further analysis using the fully coupled model simulations provides direct modeling evidence that the observed spatial coherence of decadal SST variations across North Atlantic basin can be reproduced only by including the AMOC-related ocean dynamics, and the AMOC acts as a common forcing signal that results in a spatially coherent variation of North Atlantic SST.


领域气候变化
收录类别SCI-E
WOS记录号WOS:000460902200006
WOS关键词SEA-SURFACE TEMPERATURE ; NORTH-ATLANTIC ; CLIMATE VARIABILITY ; HEAT-FLUX ; WINTER CLIMATE ; TELECONNECTION ; ANOMALIES ; TRENDS ; PERSISTENCE ; DRIVER
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/36070
专题气候变化
作者单位1.Beijing Normal Univ, Coll Global Change & Earth Syst Sci GCESS, Beijing 100875, Peoples R China;
2.Qingdao Natl Lab Marine Sci & Technol, Lab Reg Oceanog & Numer Modeling, Qingdao 266237, Peoples R China;
3.Abdus Salam Int Ctr Theoret Phys, Trieste, Italy;
4.King Abdulaziz Univ, Dept Meteorol, Ctr Excellence Climate Change Res, Jeddah, Saudi Arabia;
5.Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing 100029, Peoples R China;
6.State Ocean Adm, Natl Marine Environm Forecasting Ctr, Key Lab Res Marine Hazards Forecasting, Beijing 100081, Peoples R China;
7.Univ Chinese Acad Sci, Coll Earth Sci, Beijing 100049, Peoples R China
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GB/T 7714
Sun, Cheng,Li, Jianping,Kucharski, Fred,et al. Contrasting spatial structures of Atlantic Multidecadal Oscillation between observations and slab ocean model simulations[J]. CLIMATE DYNAMICS,2019,52:1395-1411.
APA Sun, Cheng,Li, Jianping,Kucharski, Fred,Xue, Jiaqing,&Li, Xiang.(2019).Contrasting spatial structures of Atlantic Multidecadal Oscillation between observations and slab ocean model simulations.CLIMATE DYNAMICS,52,1395-1411.
MLA Sun, Cheng,et al."Contrasting spatial structures of Atlantic Multidecadal Oscillation between observations and slab ocean model simulations".CLIMATE DYNAMICS 52(2019):1395-1411.
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