Articles | Volume 18, issue 9
https://doi.org/10.5194/nhess-18-2561-2018
https://doi.org/10.5194/nhess-18-2561-2018
Research article
 | 
21 Sep 2018
Research article |  | 21 Sep 2018

Tree-based mesh-refinement GPU-accelerated tsunami simulator for real-time operation

Marlon Arce Acuña and Takayuki Aoki

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Cited articles

Abadie, S. D., Morichon, S. D., Grilli, S., and Glockner, S.: Numerical simulation of waves generated by landslides using a multiple-fluid Navier–Stokes model, Coast. Eng., 24, 779–794, 2010. 
Abadie, S. D., Harris, J. C., Grilli, S. T., and Fabre, R.: Numerical modeling of tsunami waves generated by the flank collapse of the Cumbre Vieja Volcano (La Palma, CanaryIslands): Tsunami source and near field effects, J. Geophys. Res., 117, 50–30, 2012. 
Acuna, M. A. and Takayuki, A.: TRITON-G, available at: https://osf.io/fydz8/, 2017. 
Arcas, D. and Titov, V.: Sumatra tsunami: lessons from modeling, Surv. Geophys., 27, 679–705, 2006. 
Babeyko, A.: Fast Tsunami Simulation Tool for Early Warning, available at: https://docs.gempa.de/toast/current/apps/easywave.html (last access: 13 September 2018), 2017. 
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Short summary
Tsunamis like those in Indonesia in 2004 and Japan in 2011 have shown like never before the destructive power of this natural disaster. This highlighted the importance of fast and accurate simulations for forecasting. We present a fully GPU-accelerated tsunami model for large domains that delivers results within minutes with high accuracy and efficient resource use. By using just three GPUs, results for the Indian Ocean were obtained in 15 min. This allows for fast evacuation and risk decisions.
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