Nonhydrostatic models have proven their superiority in describing tsunami propagation over trans-oceanic distances and nearshore transformation because of their good dispersion and nonlinearity properties. The novel one-layer nonhydrostatic formulations proposed by Wang et al. [Phys. Fluids 35, 076610 (2023)] have been rederived in the spherical coordinate system incorporating Coriolis effects to enable the application of basin-wide tsunami propagation. The model was implemented using the fractional step method, where the hydrostatic step was solved by a Godunov-type finite-volume scheme, and the nonhydrostatic step was obtained with the finite-difference method. Additionally, a two-way grid-nesting scheme was employed to adapt the topographic features for efficient computation of tsunami propagation in deep ocean and coastal inundation. Furthermore, graphics processing unit (GPU)-parallelism technique was incorporated to further optimize the model performance. An idealized benchmark test as well as three experiments of regular and irregular waves, solitary, and N-waves transformations have been simulated to demonstrate the superior performance of the current GPU-accelerated grid-nesting nonhydrostatic model. Finally, the model has been applied to reproduce the 1964 Prince William Sound Tsunami, its propagation across the North Pacific and induced inundation in the Seaside.
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April 2024
Research Article|
April 09 2024
Graphics processing unit (GPU)-enhanced nonhydrostatic model with grid nesting for global tsunami propagation and coastal inundation Available to Purchase
Hang Wang (王航)
;
Hang Wang (王航)
(Formal analysis, Software, Writing – original draft)
1
Key Laboratory of Ministry of Education for Coastal Disaster and Protection, Hohai University
, Nanjing 210098, China
2
College of Harbour, Coastal and Offshore Engineering, Hohai University
, Nanjing 210098, China
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Gang Wang (王岗)
;
Gang Wang (王岗)
a)
(Conceptualization, Formal analysis, Investigation, Project administration, Writing – review & editing)
1
Key Laboratory of Ministry of Education for Coastal Disaster and Protection, Hohai University
, Nanjing 210098, China
2
College of Harbour, Coastal and Offshore Engineering, Hohai University
, Nanjing 210098, China
a)Author to whom correspondence should be addressed: [email protected]
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Ruili Fu (付睿丽);
Ruili Fu (付睿丽)
(Formal analysis, Software, Validation, Writing – review & editing)
1
Key Laboratory of Ministry of Education for Coastal Disaster and Protection, Hohai University
, Nanjing 210098, China
2
College of Harbour, Coastal and Offshore Engineering, Hohai University
, Nanjing 210098, China
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Jinhai Zheng (郑金海)
;
Jinhai Zheng (郑金海)
(Conceptualization, Methodology, Supervision)
1
Key Laboratory of Ministry of Education for Coastal Disaster and Protection, Hohai University
, Nanjing 210098, China
2
College of Harbour, Coastal and Offshore Engineering, Hohai University
, Nanjing 210098, China
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Peitao Wang (王培涛)
;
Peitao Wang (王培涛)
(Validation, Visualization, Writing – review & editing)
3
Key Laboratory of Marine Hazards Forecasting, National Marine Environmental Forecasting Center, Ministry of Natural Resources
, Beijing 100081, China
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Fujiang Yu (于福江);
Fujiang Yu (于福江)
(Conceptualization, Validation)
3
Key Laboratory of Marine Hazards Forecasting, National Marine Environmental Forecasting Center, Ministry of Natural Resources
, Beijing 100081, China
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Qiuhua Liang (梁秋华)
Qiuhua Liang (梁秋华)
(Resources, Software, Validation)
4
School of Architecture, Building and Civil Engineering, Loughborough University
, Loughborough LE113TU, United Kingdom
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Ruili Fu (付睿丽)
1,2
Fujiang Yu (于福江)
3
1
Key Laboratory of Ministry of Education for Coastal Disaster and Protection, Hohai University
, Nanjing 210098, China
2
College of Harbour, Coastal and Offshore Engineering, Hohai University
, Nanjing 210098, China
3
Key Laboratory of Marine Hazards Forecasting, National Marine Environmental Forecasting Center, Ministry of Natural Resources
, Beijing 100081, China
4
School of Architecture, Building and Civil Engineering, Loughborough University
, Loughborough LE113TU, United Kingdom
a)Author to whom correspondence should be addressed: [email protected]
Physics of Fluids 36, 046607 (2024)
Article history
Received:
February 15 2024
Accepted:
March 23 2024
Citation
Hang Wang, Gang Wang, Ruili Fu, Jinhai Zheng, Peitao Wang, Fujiang Yu, Qiuhua Liang; Graphics processing unit (GPU)-enhanced nonhydrostatic model with grid nesting for global tsunami propagation and coastal inundation. Physics of Fluids 1 April 2024; 36 (4): 046607. https://doi.org/10.1063/5.0203639
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