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Numerical study of three-dimensional shelf circulation on the Scotian Shelf using a shelf circulation model
Authors:Kyoko Ohashi  Jinyu Sheng  Keith R Thompson  Charles G Hannah  Harold Ritchie
Institution:1. Department of Oceanography, Dalhousie University, Halifax, Nova Scotia, Canada;2. Bedford Institute of Oceanography, Dartmouth, Nova Scotia, Canada;3. Environment Canada, Recherche en Prévision Numérique, Dorval, Québec, Canada
Abstract:A numerical shelf circulation model was developed for the Scotian Shelf, using a nested-grid setup consisting of a three-dimensional baroclinic inner model embedded inside a two-dimensional barotropic outer model. The shelf circulation model is based on the Princeton Ocean Model and driven by three-hourly atmospheric forcing provided by a numerical weather forecast model and by tidal forcing specified at the inner model's open boundaries based on pre-calculated tidal harmonic constants. The outer model simulates the depth-mean circulation forced by wind and atmospheric pressure fields over the northwest Atlantic Ocean with a horizontal resolution of 1/12°. The inner model simulates the three-dimensional circulation over the Gulf of St. Lawrence, the Scotian Shelf, and the adjacent slope with a horizontal resolution of 1/16°. The performance of the shelf circulation model is assessed by comparing model results with oceanographic observations made along the Atlantic coast of Nova Scotia and in the vicinity of Sable Island (on the Scotian Shelf) during two periods: October 2000–March 2001 and April–June 2002. Analysis of model results on Sable Island Bank indicates that tidal currents account for as much as ∼80% of the total variance of near-bottom currents, and currents driven by local winds account for ∼30% of the variance of the non-tidal near-bottom currents. Shelf waves generated remotely by winds and propagating into the region also play an important role in the near-bottom circulation on the bank.
Keywords:Shelf circulation  Numerical model  Scotian Shelf  Tidal circulation  Wind-driven  Prediction system
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