2013
DOI: 10.1016/s1001-6058(11)60399-6
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Numerical analysis of impacts of 2011 Japan Tohoku tsunami on China Coast

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Cited by 31 publications
(14 citation statements)
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“…Again, we use the linear high‐order Boussinesq model as reference, but this time we also include computations based on the nondispersive linear shallow water model [ Ren et al ., ] in order to illustrate the influence of dispersion. Both models are set up to cover the first quadrant of the problem using 2000 by 2000 grid points with grid size dx = dy = 1.0 km and 3000 time steps with step size dt = 5.0 s. A perspective snapshot of the computed surface elevation is shown in Figure .…”
Section: Applications On a Constant Depthmentioning
confidence: 99%
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“…Again, we use the linear high‐order Boussinesq model as reference, but this time we also include computations based on the nondispersive linear shallow water model [ Ren et al ., ] in order to illustrate the influence of dispersion. Both models are set up to cover the first quadrant of the problem using 2000 by 2000 grid points with grid size dx = dy = 1.0 km and 3000 time steps with step size dt = 5.0 s. A perspective snapshot of the computed surface elevation is shown in Figure .…”
Section: Applications On a Constant Depthmentioning
confidence: 99%
“…Weak dispersion can typically be handled by any standard Boussinesq model and these are now being used for tsunami modeling on a regular basis [see e.g., Løvholt et al ., ; Glimsdal et al ., ; Grilli et al ., ]. It is, however, still common to use models based on the nondispersive nonlinear shallow water (NSW) equations [see e.g., Tang et al ., ; Ren et al ., ]. In principle, the NSW equations cannot correctly predict the temporal evolution of the transient waves, but it has to be admitted that these models have been relatively successful in simulating geophysical tsunamis.…”
Section: Introductionmentioning
confidence: 99%
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“…In this paper we present a GPU‐accelerated version of the open source GeoClaw code distributed as part of Clawpack (Clawpack Development Team, ), which is widely used for modeling tsunamis and has undergone a benchmarking process in 2011 (Horrillo et al, ) as part of the National Tsunami Hazard Mitigation Program, allowing its use on tsunami hazard modeling projects supported by this program (e.g., González et al, ; Titov et al, ). It has been used for many other projects involving tsunami hazard assessment and/or the study of historic or paleotsunamis, (e.g., Amir et al, ; Arcos & LeVeque, ; Cienfuegos et al, ; Galanti et al, ; Hayes & Furlong, ; Johnstone & Lence, ; MacInnes et al, ; Ren et al, ). GeoClaw has also been used in modeling storm surge (e.g., Mandli & Dawson, ) and dam failures (e.g., George, ; Turzewski et al, ), and so the GPU‐accelerated version should prove useful beyond tsunami modeling.…”
Section: Introductionmentioning
confidence: 99%