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David P. Marshall

Researcher at University of Oxford

Publications -  118
Citations -  5311

David P. Marshall is an academic researcher from University of Oxford. The author has contributed to research in topics: Potential vorticity & Eddy. The author has an hindex of 39, co-authored 110 publications receiving 4404 citations. Previous affiliations of David P. Marshall include Massachusetts Institute of Technology & University of Reading.

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Propagation of Meridional Circulation Anomalies along Western and Eastern Boundaries

TL;DR: In this article, a reduced-gravity model for the propagation of Rossby waves along western and eastern boundaries is presented, and the along-boundary propagation speed is cLd/δ, where Ld is the Rossby deformation radius, and δ is the appropriate frictional boundary layer width.
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Influence of Topography on the Large-Scale Ocean Circulation

TL;DR: In this paper, the influence of bottom topography on the large-scale ocean circulation is discussed and illustrated with a simple model based on the ideal-fluid thermocline equations, which can be reduced to a single characteristic equation under an assumption of uniform potential vorticity on density surfaces.
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The role of ocean gateways in the dynamics and sensitivity to wind stress of the early Antarctic Circumpolar Current

TL;DR: In this paper, the authors investigated whether both ocean gateways have to be open to allow for a substantial circumpolar current and found that the presence of overlapping continental barriers does not impede the circulation of the Antarctic Circumpolar Current in excess of 50Sv, as long as a path can be traced around the barriers.
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Dynamical Pathways of Antarctic Bottom Water in the Atlantic

TL;DR: In this paper, a reduced-gravity model is developed to represent the flow of Antarctic Bottom Water (AABW) over realistic bathymetry in an Atlantic domain, which is based on the steady, planetary-geostrophic, shallow-water equations, including a linear bottom friction and a uniform diapycnal upwelling through the top of the model layer.