2012
DOI: 10.1007/s10236-012-0555-3
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Adaptive volume penalization for ocean modeling

Abstract: The development of various volume penalization techniques for use in modeling topographical features in the ocean is the focus of this paper. Due to the complicated geometry inherent in ocean boundaries, the stair-step representation used in the majority of current global ocean circulation models causes accuracy and numerical stability problems. Brinkman penalization is the basis for the methods developed here and is a numerical technique used to enforce no-slip boundary conditions through the addition of a te… Show more

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Cited by 19 publications
(33 citation statements)
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References 37 publications
(43 reference statements)
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“…The Reckinger et al (2012) penalization also has the property that inertia-gravity wave speeds are 1/ √ α times faster in the porous medium. This introduces a stiffness in time associated with the small porosity α that enforces an artificially small time step.…”
Section: Previous Penalization Methods For the Shallow Water Equationsmentioning
confidence: 99%
See 3 more Smart Citations
“…The Reckinger et al (2012) penalization also has the property that inertia-gravity wave speeds are 1/ √ α times faster in the porous medium. This introduces a stiffness in time associated with the small porosity α that enforces an artificially small time step.…”
Section: Previous Penalization Methods For the Shallow Water Equationsmentioning
confidence: 99%
“…In vector-invariant form, Reckinger et al (2012) proposed the following set of penalized shallow water equations with a flat bottom:…”
Section: Previous Penalization Methods For the Shallow Water Equationsmentioning
confidence: 99%
See 2 more Smart Citations
“…Examples are provided for the Aegean Sea, Indonesian Archipelago and Canadian Arctic Archipelago. Reckinger et al (2012) develop several adaptive volume penalization techniques to represent topographic effects in ocean models that use a stair-step representation of the geometry. Such stair-steps can cause accuracy and numerical stability problems.…”
Section: Multi-resolution Meshes and Unstructured Modelingmentioning
confidence: 99%