Graphics processing unit (GPU)-enhanced nonhydrostatic model with grid nesting for global tsunami propagation and coastal inundation Article Swipe
Hang Wang
,
Gang Wang
,
Ruili Fu
,
Jinhai Zheng
,
Peitao Wang
,
Fujiang Yu
,
Qiuhua Liang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1063/5.0203639
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1063/5.0203639
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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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1063/5.0203639
- https://pubs.aip.org/aip/pof/article-pdf/doi/10.1063/5.0203639/19875332/046607_1_5.0203639.pdf
- OA Status
- hybrid
- Cited By
- 4
- References
- 36
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4394606476
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- OpenAlex ID
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https://openalex.org/W4394606476Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1063/5.0203639Digital Object Identifier
- Title
-
Graphics processing unit (GPU)-enhanced nonhydrostatic model with grid nesting for global tsunami propagation and coastal inundationWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
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2024-04-01Full publication date if available
- Authors
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Hang Wang, Gang Wang, Ruili Fu, Jinhai Zheng, Peitao Wang, Fujiang Yu, Qiuhua LiangList of authors in order
- Landing page
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https://doi.org/10.1063/5.0203639Publisher landing page
- PDF URL
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https://pubs.aip.org/aip/pof/article-pdf/doi/10.1063/5.0203639/19875332/046607_1_5.0203639.pdfDirect link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://pubs.aip.org/aip/pof/article-pdf/doi/10.1063/5.0203639/19875332/046607_1_5.0203639.pdfDirect OA link when available
- Concepts
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Graphics processing unit, Grid, Physics, Graphics, Computational science, Computer graphics (images), CUDA, Meteorology, Parallel computing, Geodesy, Computer science, GeographyTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2025: 2, 2024: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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