Cite this paper:
WANG Ning, HOU Yijun, LI Shuiqing, LI Rui. Numerical simulation and preliminary analysis of typhoon waves during three typhoons in the Yellow Sea and East China Sea[J]. HaiyangYuHuZhao, 2019, 37(6): 1805-1816

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

WANG Ning1,2,3, HOU Yijun1,2,3,4, LI Shuiqing1,2,4, LI Rui5
1 Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China;
2 Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China;
3 University of Chinese Academy of Sciences, Beijing 100049, China;
4 Laboratory for Ocean and Climate Dynamics, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China;
5 Numerical Simulation Division, North China Sea Marine Forecasting Center of Ministry of Natural Resources, Qingdao 266000, China
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.
Key words:    Holland|simulating waves nearshore (SWAN)|typhoon waves|Yellow Sea|East China Sea|wind-sea|swell   
Received: 2018-09-27   Revised: 2019-02-26
PDF (2098 KB) Free
Print this page
Add to favorites
Email this article to others
Articles by WANG Ning
Articles by HOU Yijun
Articles by LI Shuiqing
Articles by LI Rui
Booij N, Ris R C, Holthuijsen L H. 1999. A third-generation wave model for coastal regions:1. Model description and validation. Journal of Geophysical Research:Oceans, 104(C4):7 649-7 666.
Deng Z A, Wu K J, Yu T. 2007. The wave transport of the eastern area of the Pacific. Acta Oceanologica Sinica, 29(6):1-9. (in Chinese with English abstract)
Graham H E. 1959. Meteorological Considerations Pertinent to Standard Project Hurricane, Atlantic and Gulf Coasts of the United States. U.S. Department of Commerce, Weather Bureau, Washington, D.C.
He H L, Song J B, Bai Y F, Xu Y, Wang J J, Bi F. 2018a.Climate and extrema of ocean waves in the East China Sea. Science China Earth Sciences, 61(7):980-994.
He H L, Wu Q Y, Chen D K, Sun J, Liang C J, Jin W F, Xu Y. 2018b. Effects of surface waves and sea spray on air-sea fluxes during the passage of Typhoon Hagupit. Acta Oceanologica Sinica, 37(5):1-7.
He H L, Xu Y. 2016. Wind-wave hindcast in the Yellow Sea and the Bohai Sea from the year 1988 to 2002. Acta Oceanologica Sinica, 35(3):46-53.
He Q Q, Yang J, Wang W Y. 2015. Study on the simulated typhoon waves off Jiangsu coast during Typhoon DAMREY. Marine Science Bulletin, 34(5):592-599. (in Chinese with English abstract)
Holland G J. 1980. An analytic model of the wind and pressure profiles in hurricanes. Monthly Weather Review, 108(8):1 212-1 218.
Hubbert G D, Holland G J, Leslie L M, Manton M J. 1991. A real-time system for forecasting tropical cyclone storm surges. Weather and Forecasting, 6(1):86-97.
Jiang Z H, Hua F, Qu P. 2008. A new scheme for adjusting the tropical cyclone parameters. Advances in Marine Science,26(1):1-7. (in Chinese with English abstract)
Kato F. 2005. Study on Risk Assessment of Storm Surge Flood.Technical note of National Institute for Land and Infrastructure Management of Japan. National Institute for Land and Infrastructure Management, Tokyo.
Komen G, Cavaleri L, Donelan M, Hasselmann K, Hasselmann S, Janssen P A E M. 1994. Dynamics and Modelling of Ocean Waves. Cambridge University Press, Cambridge.
Mei C C. 1983. The Applied Dynamics of Ocean Surface Waves.A Wiley-Interscience Publication, New York. 734p.
Padilla-Hernández R, Monbaliu J. 2001. Energy balance of wind waves as a function of the bottom friction formulation. Coastal Engineering, 43(2):131-148.
Powell M, Soukup G, Cocke S, Gulati S, Morisseau-Leroy N, Hamid S, Dorst N, Axe L. 2005. State of Florida hurricane loss projection model:atmospheric science component.Journal of Wind Engineering and Industrial Aerodynamics, 93(8):651-674.
Qi Q H, Zhu Z X, Wang Z G, Xiong W, Chen Y C, Pang L. 2015. Numerical simulation of storm surge induced by typhoon Dawei in Lianyungang seas. Hydro-Science and Engineering, (5):60-66. (in Chinese with English abstract)
Ris R C, Holthuijsen L H, Booij N. 1999. A third-generation wave model for coastal regions:2. Verification. Journal of Geophysical Research:Oceans, 104(C4):7 667-7 681.
Shao W, Li X, Hwang P et al. 2017. Bridging the gap between cyclone wind and wave by C-band SAR measurements.Highlights by Journal of Geophysical Research:Oceans, 122(7):6 714-6 724.
SWAN Team. 2018. SWAN SCIENTIFIC AND TECHNICAL DOCUMENTATION. SWAN Cycle III Version 41.20AB.Delft University of Technology, Technical Documentation, Delft, Netherlands.
Tan F, Zhang Q H, Pang Q X, Zhang N, Yang H. 2012.Numerical simulation of WIPHA typhoon waves using WRF-SWAN model. Journal of Waterway and Harbor, 33(1):14-18. (in Chinese with English abstract)
Vickery P J, Skerlj P F, Steckley A C, Twisdale L A. 2000.Hurricane wind field model for use in hurricane simulations.Journal of Structural Engineering, 126(10):1 203-1 221.
Xu Y, He H L, Song J B, Hou Y J, Li F N. 2017. Observations and modeling of typhoon waves in the South China Sea.Journal of Physical Oceanography, 47(6):1 307-1 324.
Young I R. 2006. Directional spectra of hurricane wind waves.J. Geophys. Res., 111(C8):1-14.