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Long-term characteristics and extreme parameters of currents and sea levels in the Bohai Sea based on 20-year numerical hindcast data

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Listed:
  • Zhifeng Wang
  • Sheng Dong
  • Chengchao Chen
  • C. Guedes Soares

Abstract

The Ocean model POM is used to simulate the currents and sea levels for the whole Bohai Sea continuously from 1985 to 2004. The wind forcing at the sea surface is from the hindcast of high-resolution wind fields by RAMS. Comparisons of currents and sea levels between simulations and station observations show good agreement in general. On this basis, tidal currents and long-term wind-driven currents are discussed. The sea-level characteristics such as highest and lowest astronomical tide are also given. Furthermore, current velocities at surface and bottom layers, high and low sea levels for 100-year return periods are studied in this paper. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Zhifeng Wang & Sheng Dong & Chengchao Chen & C. Guedes Soares, 2015. "Long-term characteristics and extreme parameters of currents and sea levels in the Bohai Sea based on 20-year numerical hindcast data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(3), pages 1603-1624, April.
    • Handle: RePEc:spr:nathaz:v:76:y:2015:i:3:p:1603-1624
    DOI: 10.1007/s11069-014-1560-2
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    References listed on IDEAS

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    1. Peng Zhao & Wensheng Jiang, 2011. "A numerical study of storm surges caused by cold-air outbreaks in the Bohai Sea," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 59(1), pages 1-15, October.
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    Cited by:

    1. Díaz, H. & Silva, D. & Bernardo, C. & Guedes Soares, C., 2023. "Micro sitting of floating wind turbines in a wind farm using a multi-criteria framework," Renewable Energy, Elsevier, vol. 204(C), pages 449-474.

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