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Published May 2016 | Published
Journal Article Open

Southern Ocean Overturning Compensation in an Eddy-Resolving Climate Simulation

Abstract

The Southern Ocean's Antarctic Circumpolar Current (ACC) and meridional overturning circulation (MOC) response to increasing zonal wind stress is, for the first time, analyzed in a high-resolution (0.1° ocean and 0.25° atmosphere), fully coupled global climate simulation using the Community Earth System Model. Results from a 20-yr wind perturbation experiment, where the Southern Hemisphere zonal wind stress is increased by 50% south of 30°S, show only marginal changes in the mean ACC transport through Drake Passage—an increase of 6% [136–144 Sverdrups (Sv; 1 Sv ≡ 10^6 m^3 s^(−1))] in the perturbation experiment compared with the control. However, the upper and lower circulation cells of the MOC do change. The lower cell is more affected than the upper cell with a maximum increase of 64% versus 39%, respectively. Changes in the MOC are directly linked to changes in water mass transformation from shifting surface isopycnals and sea ice melt, giving rise to changes in surface buoyancy forcing. The increase in transport of the lower cell leads to upwelling of warm and salty Circumpolar Deep Water and subsequent melting of sea ice surrounding Antarctica. The MOC is commonly supposed to be the sum of two opposing components: a wind- and transient-eddy overturning cell. Here, the transient-eddy overturning is virtually unchanged and consistent with a large-scale cancellation of localized regions of both enhancement and suppression of eddy kinetic energy along the mean path of the ACC. However, decomposing the time-mean overturning into a time- and zonal-mean component and a standing-eddy component reveals partial compensation between wind-driven and standing-eddy components of the circulation.

Additional Information

© 2016 American Meteorological Society. Manuscript received 21 September 2 015, in final form 20 January 2016. S.P.B. was supported by the President and Director's Fund at the California Institute of Technology. A.F.T. was supported by NSF Grant NSF OCE-1235488. This manuscript was greatly improved by comments from Andy Hogg and an anonymous reviewer. We thank Justin Small for providing the control experiment. Computational resources for the simulation analyzed here were provided by the NCAR Computational and Information Systems Lab under the "Accelerated Scientific Discovery" program. We also thank Marcus Jochum for helpful comments that improved the manuscript and technical support from Gokhan Danabasoglu.

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August 22, 2023
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