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

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 subtro...

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Bibliographic Details
Published in:Journal of Physical Oceanography
Main Authors: Evans, Dafydd Gwyn, Toole, John, Forget, Gael, Zika, Jan D., Naveira Garabato, Alberto C., Nurser, A. J. George, Yu, Lisan
Other Authors: Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Format: Article in Journal/Newspaper
Language:unknown
Published: American Meteorological Society 2017
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Online Access:http://hdl.handle.net/1721.1/112116
Description
Summary: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. National Science Foundation (U.S.) (Grant OCE-0961713) United States. National Oceanic and Atmospheric Administration (Grant NA10OAR4310135)