Journal of Oceanology and Limnology

, Volume 37, Issue 6, pp 1805–1816 | Cite as

Numerical simulation and preliminary analysis of typhoon waves during three typhoons in the Yellow Sea and East China Sea

  • Ning Wang
  • Yijun HouEmail author
  • Shuiqing Li
  • Rui Li


In this study, typhoon waves generated during three typhoons (Damrey (1210), Fung-wong (1416), and Chan-hom (1509) in the Yellow Sea and East China Sea were simulated in a simulating waves nearshore (SWAN) model, and the wind forcing was constructed by combining reanalyzed wind data with a Holland typhoon wind model. Various parameters, such as the Holland fitting parameter (B) and the maximum wind radius (R), were investigated in sensitivity experiments in the Holland model that affect the wind field construction. Six different formulations were considered and the parameters determined by comparing the simulated wind results with in-situ wind measurements. The key factors affecting wave growth and dissipation processes from deep to shallow waters were studied, including wind input, whitecapping, and bottom friction. Comparison with in-situ wave measurements suggested that the KOMEN scheme (wind input exponential growth and whitecapping energy dissipation) and the JONSWAP scheme (dissipation of bottom friction) resulted in good reproduction of the significant wave height of typhoon waves. A preliminary analysis of the wave characteristics in terms of wind-sea and swell wave revealed that swell waves dominated with the distance of R to the eye of the typhoon, while wind-sea prevailed in the outer region up to six to eight times the R values despite a clear misalignment between wind and waves. The results support the hypothesis that nonlinear wave-wave interactions may play a key role in the formation of wave characteristics.


Holland simulating waves nearshore (SWAN) typhoon waves Yellow Sea East China Sea wind-sea swell 


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The data set is provided by marine scientific data center, IOCAS, China. The numerical work is supported by the High-Performance Computing Center, IOCAS, China.


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Copyright information

© Chinese Society for Oceanology and Limnology, Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Ning Wang
    • 1
    • 2
    • 3
  • Yijun Hou
    • 1
    • 2
    • 3
    • 4
    Email author
  • Shuiqing Li
    • 1
    • 2
    • 4
  • Rui Li
    • 5
  1. 1.Key Laboratory of Ocean Circulation and Waves, Institute of OceanologyChinese Academy of SciencesQingdaoChina
  2. 2.Center for Ocean Mega-ScienceChinese Academy of SciencesQingdaoChina
  3. 3.University of Chinese Academy of SciencesBeijingChina
  4. 4.Laboratory for Ocean and Climate DynamicsQingdao National Laboratory for Marine Science and TechnologyQingdaoChina
  5. 5.Numerical Simulation DivisionNorth China Sea Marine Forecasting Center of Ministry of Natural ResourcesQingdaoChina

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