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Patrick F. Cummins

Researcher at Fisheries and Oceans Canada

Publications -  56
Citations -  2892

Patrick F. Cummins is an academic researcher from Fisheries and Oceans Canada. The author has contributed to research in topics: Tidal power & Internal wave. The author has an hindex of 26, co-authored 54 publications receiving 2741 citations. Previous affiliations of Patrick F. Cummins include University of British Columbia.

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The efficiency of a turbine in a tidal channel

TL;DR: In this article, the authors show that the fractional power loss increases from 1/3 to 2/3 as the fraction of the channel cross-section spanned by the turbines increases from 0 to close to 1.
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The power potential of tidal currents in channels

TL;DR: In this paper, the maximum average power available from a tidal stream along a channel, such as that between an island and the mainland, is estimated and found to be typically considerably less than the average kinetic energy flux in the undisturbed state through the most constricted cross-section of the channel.
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Stability and Variability of the Thermohaline Circulation

TL;DR: In this article, the stability and internal variability of the ocean's thermohaline circulation were investigated using a coarse-resolution general circulation model of an idealized ocean basin, in one hemisphere.
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Simulation of Barotropic and Baroclinic Tides off Northern British Columbia

TL;DR: In this article, the authors studied the tidal response of northern British Columbia coastal waters through simulations with a three-dimensional, prognostic, primitive equation model, forcing at the boundaries with the leading semidiurnal and diurnal constituents and experiments with stratified and homogeneous fluid.
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Forcing of low-frequency ocean variability in the Northeast Pacific.

TL;DR: In this article, an ocean model is used to examine and compare the forcing mechanisms and underlying ocean dynamics of two dominant modes of ocean variability in the northeast Pacific (NEP), which are identified with the Pacific decadal oscillation (PDO) and accounts for the most variance in model sea surface temperatures (SSTs) and sea surface heights (SSHs).