Journal•ISSN: 1463-5003
Ocean Modelling
Elsevier BV
About: Ocean Modelling is an academic journal published by Elsevier BV. The journal publishes majorly in the area(s): Geology & Data assimilation. It has an ISSN identifier of 1463-5003. Over the lifetime, 1711 publications have been published receiving 69772 citations.
Topics: Geology, Data assimilation, Sea ice, Ocean current, Mixed layer
Papers published on a yearly basis
Papers
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TL;DR: In this paper, a split-explicit hydrodynamic kernel for a realistic oceanic model is proposed, which addresses multiple numerical issues associated with mode splitting, and is compatible with a variety of centered and upstream-biased high-order advection algorithms, and helps to mitigate computational cost of expensive physical parameterization of mixing processes and submodels.
3,955 citations
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TL;DR: The intent of this approach, some of whose features are reminiscent of the Arbitrary Lagrangian–Eulerian (ALE) technique, is to combine the best features of isopycnic-coordinate and fixed-grid circulation models within a single framework.
1,169 citations
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TL;DR: The Hamburg Ocean Primitive Equation model has undergone significant development in recent years as discussed by the authors, including the treatment of horizontal discretisation which has undergone transition from a staggered E-grid to an orthogonal curvilinear C-grid, which gives relatively high resolution in the sinking regions associated with the thermohaline circulation.
950 citations
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TL;DR: In this paper, an adaptive algorithm where inward and outward information fluxes are treated separately is proposed, and a volume constraint based on global correction of normal barotropic velocities improves the overall performances of the open boundary conditions.
914 citations
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TL;DR: In this paper, the authors developed a Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST) Modeling System, which is comprised of the Model Coupling Toolkit to exchange data fields between the ocean model ROMS, the atmosphere model WRF, the wave model SWAN, and the sediment capabilities of the Community Sediment Transport Model.
661 citations