2015
DOI: 10.1007/s10236-015-0839-5
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High-resolution modeling of the mean flow and meso-scale eddy variability around the Grand Banks of Newfoundland

Abstract: The mean flow and meso-scale eddy variability in the region around the Grand Banks of Newfoundland (GBN) are quantified by analyzing surface drifter observations, mean dynamic topography (MDT), along-track satellite altimeter observations, and the solutions of two high-resolution ocean models. By increasing the horizontal resolution from 6.5 km (CREG12) to 2.2 km (GBN36), the modeled mean kinetic energy (MKE) decreases and the eddy kinetic energy (EKE) increases in the study area. GBN36 obtains the MKE of surf… Show more

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Cited by 2 publications
(4 citation statements)
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“…The models are integrated for one year under realistic atmospheric and lateral forcing. Unlike the region around the Grand Banks of Newfoundland (GBN) where strong western boundary currents are present (e.g., Zhai et al, 2015), the Northeast Pacific Ocean (NEP) features an eastern boundary current and a strong seasonal variation influenced by atmospheric forcing. Similar with the results for GBN, in NEP the models produce sea level anomaly (SLA) variations similar with altimeter observations, in terms of rms, skewness and wavenumber spectra.…”
Section: Conclusion and Discussionmentioning
confidence: 99%
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“…The models are integrated for one year under realistic atmospheric and lateral forcing. Unlike the region around the Grand Banks of Newfoundland (GBN) where strong western boundary currents are present (e.g., Zhai et al, 2015), the Northeast Pacific Ocean (NEP) features an eastern boundary current and a strong seasonal variation influenced by atmospheric forcing. Similar with the results for GBN, in NEP the models produce sea level anomaly (SLA) variations similar with altimeter observations, in terms of rms, skewness and wavenumber spectra.…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…Vertical eddy diffusivity and viscosity uses a 1.5 turbulence closure scheme (Gaspar et al, 1990;Blanke and Delecluse, 1993;Mellor and Blumberg, 2004;Axell, 2002 Zhai et al (2015) in analysis of the GBN36 model. They pointed that this model behavior is related to a numerical issue noted by Hollingsworth et al (1983).…”
Section: Description Of Modelsmentioning
confidence: 99%
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