Recent Wind-Driven Variability in Atlantic Water Mass Distribution and Meridional Overturning Circulation

被引:37
|
作者
Evans, Dafydd Gwyn [1 ]
Toole, John [2 ]
Forget, Gael [3 ]
Zika, Jan D. [4 ,5 ]
Garabato, Alberto C. Naveira [1 ]
Nurser, A. J. George [6 ]
Yu, Lisan [2 ]
机构
[1] Univ Southampton, Natl Oceanog Ctr Southampton, Southampton, Hants, England
[2] Woods Hole Oceanog Inst, Woods Hole, MA 02543 USA
[3] MIT, Cambridge, MA 02139 USA
[4] Imperial Coll London, Dept Phys, London, England
[5] Imperial Coll London, Grantham Inst Climate Change & Environm, London, England
[6] Natl Oceanog Ctr Southampton, Nat Environm Res Council, Southampton, Hants, England
基金
美国海洋和大气管理局; 英国自然环境研究理事会; 美国国家科学基金会;
关键词
OCEAN HEAT-TRANSPORT; NORTH-ATLANTIC; SUBTROPICAL OCEAN; 26.5-DEGREES-N; ATMOSPHERE; BUOYANCY; SYSTEM; IMPACT; AMOC;
D O I
10.1175/JPO-D-16-0089.1
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
Interannual variability in the volumetric water mass distribution within the North Atlantic Subtropical Gyre is described in relation to variability in the Atlantic meridional overturning circulation. The relative roles of diabatic and adiabatic processes in the volume and heat budgets of the subtropical gyre are investigated by projecting data into temperature coordinates as volumes of water using an Argo-based climatology and an ocean state estimate (ECCO version 4). This highlights that variations in the subtropical gyre volume budget are predominantly set by transport divergence in the gyre. A strong correlation between the volume anomaly due to transport divergence and the variability of both thermocline depth and Ekman pumping over the gyre suggests that wind-driven heave drives transport anomalies at the gyre boundaries. This wind-driven heaving contributes significantly to variations in the heat content of the gyre, as do anomalies in the air-sea fluxes. The analysis presented suggests that wind forcing plays an important role in driving interannual variability in the Atlantic meridional overturning circulation and that this variability can be unraveled from spatially distributed hydrographic observations using the framework presented here.
引用
收藏
页码:633 / 647
页数:15
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