Volume 43 Issue 3
Mar.  2024
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Yuanyong Gao, Fujiang Yu, Cifu Fu, Jianxi Dong, Qiuxing Liu. A typhoon-induced storm surge numerical model with GPU acceleration based on an unstructured spherical centroidal Voronoi tessellation grid[J]. Acta Oceanologica Sinica, 2024, 43(3): 40-47. doi: 10.1007/s13131-023-2175-9
Citation: Yuanyong Gao, Fujiang Yu, Cifu Fu, Jianxi Dong, Qiuxing Liu. A typhoon-induced storm surge numerical model with GPU acceleration based on an unstructured spherical centroidal Voronoi tessellation grid[J]. Acta Oceanologica Sinica, 2024, 43(3): 40-47. doi: 10.1007/s13131-023-2175-9

A typhoon-induced storm surge numerical model with GPU acceleration based on an unstructured spherical centroidal Voronoi tessellation grid

doi: 10.1007/s13131-023-2175-9
Funds:  The National Natural Science Foundation of China under contract No. 42076214.
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  • Corresponding author: E-mail: yvfujiang_2022@163.comfucf@nmefc.cn
  • Received Date: 2022-11-07
  • Accepted Date: 2023-02-14
  • Available Online: 2023-07-27
  • Publish Date: 2024-03-25
  • Storm surge is often the marine disaster that poses the greatest threat to life and property in coastal areas. Accurate and timely issuance of storm surge warnings to take appropriate countermeasures is an important means to reduce storm surge-related losses. Storm surge numerical models are important for storm surge forecasting. To further improve the performance of the storm surge forecast models, we developed a numerical storm surge forecast model based on an unstructured spherical centroidal Voronoi tessellation (SCVT) grid. The model is based on shallow water equations in vector-invariant form, and is discretized by Arakawa C grid. The SCVT grid can not only better describe the coastline information but also avoid rigid transitions, and it has a better global consistency by generating high-resolution grids in the key areas through transition refinement. In addition, the simulation speed of the model is accelerated by using the openACC-based GPU acceleration technology to meet the timeliness requirements of operational ensemble forecast. It only takes 37 s to simulate a day in the coastal waters of China. The newly developed storm surge model was applied to simulate typhoon-induced storm surges in the coastal waters of China. The hindcast experiments on the selected representative typhoon-induced storm surge processes indicate that the model can reasonably simulate the distribution characteristics of storm surges. The simulated maximum storm surges and their occurrence times are consistent with the observed data at the representative tide gauge stations, and the mean absolute errors are 3.5 cm and 0.6 h respectively, showing high accuracy and application prospects.
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  • Chen Changsheng, Liu Hedong, Beardsley R C. 2003. An unstructured grid, finite-volume, three-dimensional, primitive equations ocean model: application to coastal ocean and estuaries. Journal of Atmospheric & Oceanic Technology, 20(1): 159–186
    Dietrich J C, Zijlema M, Westerink J J, et al. 2011. Modeling hurricane waves and storm surge using integrally-coupled, scalable computations. Coastal Engineering, 58(1): 45–65, doi: 10.1016/j.coastaleng.2010.08.001
    Dube S K, Rao A D, Sinha P C, et al. 1997. Storm surge in the Bay of Bengal and Arabian Sea: the problem and its prediction. Mausam, 48(2): 283–304, doi: 10.54302/mausam.v48i2.4012
    Engwirda D. 2017. JIGSAW-GEO (1.0): JIGSAW-GEO (1.0): Locally orthogonal staggered unstructured grid generation for general circulation modelling on the sphere. Geoscientific Model Development, 10(6): 2117–2140, doi: 10.5194/gmd-10-2117-2017
    Frank N L, Husain S A. 1971. The deadliest tropical cyclone in history. Bulletin of the American Meteorological Society, 52(6): 438–445, doi: 10.1175/1520-0477(1971)052<0438:TDTCIH>2.0.CO;2
    Higaki M, Hayashibara H, Nozaki F. 2009. Outline of the storm surge prediction model at the Japan Meteorological Agency. RSMC Tokyo-Typhoon Center Technical Review, 2009(11): 25–38
    Hubbert G D, Holland G J, Leslie L M, et al. 1991. A real-time system for forecasting tropical cyclone storm surges. Weather and Forecasting, 6(1): 86–97, doi: 10.1175/1520-0434(1991)006<0086:ARTSFF>2.0.CO;2
    Kohno N, Dube S K, Entel M, et al. 2018. Recent progress in storm surge forecasting. Tropical Cyclone Research and Review, 7(2): 128–139
    Lu Xiaoqin, Yu Hui, Ying Ming, et al. 2021. Western North Pacific tropical cyclone database created by the China meteorological administration. Advances in Atmospheric Sciences, 38(4): 690–699, doi: 10.1007/s00376-020-0211-7
    Muis S, Verlaan M, Winsemius H C, et al. 2016. A global reanalysis of storm surges and extreme sea levels. Nature Communications, 7: 11969, doi: 10.1038/ncomms11969
    Rappaport E N. 2014. Fatalities in the United States from Atlantic tropical cyclones: new data and interpretation. Bulletin of the American Meteorological Society, 95(3): 341–346, doi: 10.1175/BAMS-D-12-00074.1
    Ringler T D, Thuburn J, Klemp J B, et al. 2010. A unified approach to energy conservation and potential vorticity dynamics for arbitrarily-structured C-grids. Journal of Computational Physics, 229(9): 3065–3090, doi: 10.1016/j.jcp.2009.12.007
    Skamarock W C, Klemp J B, Duda M G, et al. 2012. A multiscale nonhydrostatic atmospheric model using centroidal voronoi tesselations and C-grid staggering. Monthly Weather Review, 140(9): 3090–3105, doi: 10.1175/MWR-D-11-00215.1
    Thuburn J, Ringler T D, Skamarock W C, et al. 2009. Numerical representation of geostrophic modes on arbitrarily structured C-grids. Journal of Computational Physics, 228(22): 8321–8335, doi: 10.1016/j.jcp.2009.08.006
    Yu Fujiang, Fu Cifu, Guo Honglin, et al. 2020. Modern Technologies and Application in Storm Surge Forecasting (in Chinese). Beijing: China Science Publishing & Media, 43–47
    Zhou Lilong, Feng Jinming, Hua Lijuan. 2020. Extending square conservation to arbitrarily structured C-grids with shallow water equations. Geoscientific Model Development, 13(2): 581–595, doi: 10.5194/gmd-13-581-2020
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