2017
DOI: 10.1007/978-3-319-57394-6_26
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Comparison of Wetting and Drying Between a RKDG2 Method and Classical FV Based Second-Order Hydrostatic Reconstruction

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Cited by 5 publications
(5 citation statements)
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“…The computational model to generate the tsunami scenario is StormFlash2D, which solves the nonlinear shallow water equations using an explicit Runge-Kutta discontinuous Galerkin discretization combined with a sophisticated wetting and drying treatment for the inundation at the coast (Vater and Behrens 2014;Vater et al 2015Vater et al , 2017. A tsunami is triggered by a (possibly time-dependent) perturbation of the discrete bathymetry.…”
Section: Earthquake-tsunami Coupled Modelingmentioning
confidence: 99%
“…The computational model to generate the tsunami scenario is StormFlash2D, which solves the nonlinear shallow water equations using an explicit Runge-Kutta discontinuous Galerkin discretization combined with a sophisticated wetting and drying treatment for the inundation at the coast (Vater and Behrens 2014;Vater et al 2015Vater et al , 2017. A tsunami is triggered by a (possibly time-dependent) perturbation of the discrete bathymetry.…”
Section: Earthquake-tsunami Coupled Modelingmentioning
confidence: 99%
“…Furthermore, DG methods better approximate the near-shore velocity in certain situations. 7,10 While there is theoretically no barrier to extend the DG method to higher-order accuracy, several practical aspects impede this endeavor. For the time discretization, appropriate integration schemes (such as strong stability preserving methods) have to be applied, which maintain crucial properties of the governing equations.…”
Section: Introductionmentioning
confidence: 99%
“…Concerning coastal modeling, Kesserwani and Wang 7 argue that the extra complexity associated with DG discretizations pays off by providing higher-quality solution behavior on very coarse meshes. Furthermore, DG methods better approximate the near-shore velocity in certain situations 7,10 .…”
mentioning
confidence: 99%
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“…( 2019 ) conclude that numerical issues in these problematic regions may originate from simplifying the shallow water equations (SWEs) while discretizations of the full SWEs are not subject to these limitations. Second‐order finite‐volume (FV) schemes (Audusse & Bristeau, 2005 ; Hou et al., 2015 ; Murillo et al., 2008 ) or discontinuous Galerkin (DG) schemes (Kesserwani et al., 2008 ; Shaw et al., 2021 ; Vater et al., 2017 ) offer additional accuracy, however at the cost of higher runtimes. For large‐scale river flooding, the usage of a second‐order scheme instead of its first‐order counterpart may be preferrable in view of the workload–accuracy tradeoff (Horváth et al., 2020 ).…”
Section: Introductionmentioning
confidence: 99%