Document Type
Article
Article Version
Post-print
Publication Date
8-2014
Abstract
This paper presents an integrated approach for modeling several ocean test problems on adaptive grids using novel boundary techniques. The adaptive wavelet collocation method solves the governing equations on temporally and spatially varying meshes, which allows higher effective resolution to be obtained with less computational cost. It is a general method for the solving a large class of partial differential equations, but is applied to the shallow water equations here. In addition to developing wavelet-based computational models, this work also uses an extension of the Brinkman penalization method to represent irregular and non-uniform continental boundaries. This technique is used to enforce no slip boundary conditions through the addition of a term to the field equations. When coupled with the adaptive wavelet collocation method, the flow near the boundary can be well resolved. It is especially useful for simulations of boundary currents and tsunamis, where flow and the boundary is important, thus, those are the test cases presented here.
Publication Title
Journal of Computational Physics
Repository Citation
Reckinger, Shanon M.; Vasilyev, Oleg V.; and Fox-Kemper, Baylor, "Adaptive Wavelet Collocation Method on the Shallow Water Model" (2014). Engineering Faculty Publications. 113.
https://digitalcommons.fairfield.edu/engineering-facultypubs/113
Published Citation
Reckinger, S. M., Vasilyev, O. V., Fox-Kemper, B., “Adaptive Wavelet Collocation Method on the Shallow Water Model”, Journal of Computational Physics, 271 (15), 342–359, August 2014.
DOI
10.1016/j.jcp.2014.03.043
Peer Reviewed
Comments
Copyright 2014 Elsevier
NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Computational Physics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Computational Physics, 271 (15), 342–359, August 2014. DOI: 10.1016/j.jcp.2014.03.043