期刊
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
卷 127, 期 5, 页码 -出版社
AMER GEOPHYSICAL UNION
DOI: 10.1029/2022JC018440
关键词
Southern ocean; eddies; chaotic; ensemble modeling
类别
资金
- ANR [ANR-13-BS06-0007-01]
- CNES through the Ocean Surface Topography Science Team (OST-ST)
- NSF [OCE-1941963, OCE-2023585, OCE-2123632]
- Australian Research Council [DE210100749]
- Australian Government
- [ANR-18-MPGA-0002]
- Australian Research Council [DE210100749] Funding Source: Australian Research Council
Circulation and eddies in the Southern Ocean are unique and significantly influenced by wind stress and buoyancy fluxes. The strength of the eddy field is controlled by external forcing and intrinsic variability.
Circulation in the Southern Ocean is unique. The strong wind stress forcing and buoyancy fluxes, in concert with the lack of continental boundaries, conspire to drive the Antarctic Circumpolar Current replete with an intense eddy field. The effect of Southern Ocean eddies on the ocean circulation is significant-they modulate the momentum balance of the zonal flow, and the meridional transport of tracers and mass. The strength of the eddy field is controlled by a combination of forcing (primarily thought to be wind stress) and intrinsic, chaotic, variability associated with the turbulent flow field itself. Here, we present results from an eddy-permitting ensemble of ocean model simulations to investigate the relative contribution of forced and intrinsic processes in governing the variability of Southern Ocean eddy kinetic energy. We find that variations of the eddy field are mostly random, even on longer (interannual) timescales. Where correlations between the wind stress forcing and the eddy field exist, these interactions are dominated by two distinct timescales-a fast baroclinic instability response; and a multi-year process owing to feedback between bathymetry and the mean flow. These results suggest that understanding Southern Ocean eddy dynamics and its larger-scale impacts requires an ensemble approach to eliminate intrinsic variability, and therefore may not yield robust conclusions from observations alone.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据