Parallel, adaptive finite element methods for conservation laws
Proceedings of the third ARO workshop on Adaptive methods for partial differential equations
Analysis of a Multiscale Discontinuous Galerkin Method for Convection-Diffusion Problems
SIAM Journal on Numerical Analysis
Journal of Scientific Computing
A Parallel High-Order Discontinuous Galerkin Shallow Water Model
ICCS '09 Proceedings of the 9th International Conference on Computational Science: Part I
Scalability of an Unstructured Grid Continuous Galerkin Based Hurricane Storm Surge Model
Journal of Scientific Computing
Locally Limited and Fully Conserved RKDG2 Shallow Water Solutions with Wetting and Drying
Journal of Scientific Computing
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We present a comparative study of two finite element shallow water equation (SWE) models: a generalized wave continuity equation based continuous Galerkin (CG) model--an approach used by several existing SWE models--and a recently developed discontinuous Galerkin (DG) model. While DG methods are known to possess a number of favorable properties, such as local mass conservation, one commonly cited disadvantage is the larger number of degrees of freedom associated with the methods, which naturally translates into a greater computational cost compared to CG methods. However, in a series of numerical tests, we demonstrate that the DG SWE model is generally more efficient than the CG model (i) in terms of achieving a specified error level for a given computational cost and (ii) on large-scale parallel machines because of the inherently local structure of the method. Both models are verified on a series of analytic test cases and validated on a field-scale application.