Volume 40 Issue 12
Dec.  2022
Turn off MathJax
Article Contents
Qing Shi, Jun Tang, Yongming Shen, Yuxiang Ma. Numerical investigation of ocean waves generated by three typhoons in offshore China[J]. Acta Oceanologica Sinica, 2021, 40(12): 125-134. doi: 10.1007/s13131-021-1868-1
Citation: Qing Shi, Jun Tang, Yongming Shen, Yuxiang Ma. Numerical investigation of ocean waves generated by three typhoons in offshore China[J]. Acta Oceanologica Sinica, 2021, 40(12): 125-134. doi: 10.1007/s13131-021-1868-1

Numerical investigation of ocean waves generated by three typhoons in offshore China

doi: 10.1007/s13131-021-1868-1
Funds:  The Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) under contract No. GML2019ZD0403; the Program for Guangdong Introducing Innovative and Enterpreneurial Teams under contract No. 2019ZT08L213; the Guangdong Provincial Key Laboratory Project under contract No. 2019B121203011.
More Information
  • Corresponding author: E-mail: jtang@dlut.edu.cn
  • Received Date: 2021-05-17
  • Accepted Date: 2021-06-10
  • Available Online: 2021-09-01
  • Publish Date: 2021-11-25
  • The influences of the three types of reanalysis wind fields on the simulation of three typhoon waves occurred in 2015 in offshore China were numerically investigated. The typhoon wave model was based on the simulating waves nearshore model (SWAN), in which the wind fields for driving waves were derived from the European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis-Interim (ERA-interim), the National Centers for Environmental Prediction climate forecast system version 2 (CFSv2) and cross-calibrated multi-platform (CCMP) datasets. Firstly, the typhoon waves generated during the occurrence of typhoons Chan-hom (1509), Linfa (1510) and Nangka (1511) in 2015 were simulated by using the wave model driven by ERA-interim, CFSv2 and CCMP datasets. The numerical results were validated using buoy data and satellite observation data, and the simulation results under the three types of wind fields were in good agreement with the observed data. The numerical results showed that the CCMP wind data was the best in simulating waves overall, and the wind speeds pertaining to ERA-Interim and CCMP were notably smaller than those observed near the typhoon centre. To correct the accuracy of the wind fields, the Holland theoretical wind model was used to revise and optimize the wind speed pertaining to the CCMP near the typhoon centre. The results indicated that the CCMP wind-driven SWAN model could appropriately simulate the typhoon waves generated by three typhoons in offshore China, and the use of the CCMP/Holland blended wind field could effectively improve the accuracy of typhoon wave simulations.
  • loading
  • [1]
    Amante C, Eakins B W. 2009. ETOPO1 1 arc-minute global relief model: procedures, data sources and analysis. Boulder: NOAA, doi: 10.7289/V5C8276M
    [2]
    Atlas R, Ardizzone J, Hoffman R N. 2008. Application of satellite surface wind data to ocean wind analysis. In: Proceedings Volume 7087, Remote Sensing System Engineering. San Diego: International Society for Optical Engineering, 70870B
    [3]
    Atlas R, Hoffman R N, Ardizzone J, et al. 2011. A cross-calibrated, multiplatform ocean surface wind velocity product for meteorological and oceanographic applications. Bulletin of the American Meteorological Society, 92(2): 157–174. doi: 10.1175/2010BAMS2946.1
    [4]
    Battjes J A, Janssen J P F M. 1978. Energy loss and set-up due to breaking of random waves. In: 16th International Conference on Coastal Engineering. Hamburg: American Society of Ciril Engineers, 569–587
    [5]
    Booij N, Holthuijsen L H, Ris R C. 1996. The “SWAN” wave model for shallow water. In: 25th International Conference on Coastal Engineering. Orlando: American Society of Ciril Engineers, 668–676
    [6]
    Cavaleri L, Rizzoli P M. 1981. Wind wave prediction in shallow water: theory and applications. Journal of Geophysical Research: Oceans, 86(C11): 10961–10973. doi: 10.1029/JC086iC11p10961
    [7]
    Eldberky Y, Battjes J A. 1995. Parameterization of triad interactions in wave energy models. In: Proceeding Coastal Dynamics Conference ’95. Gdańsk: ASCE, 140–148
    [8]
    Hasselmann K. 1974. On the spectral dissipation of ocean waves due to white capping. Boundary-Layer Meteorology, 6(1): 107–127
    [9]
    Hasselmann S, Hasselmann K, Allender J H, et al. 1985. Computations and parameterizations of the nonlinear energy transfer in a gravity-wave specturm: Part Ⅱ. Parameterizations of the nonlinear energy transfer for application in wave models. Journal of Physical Oceanography, 15(11): 1378–1391. doi: 10.1175/1520-0485(1985)015<1378:CAPOTN>2.0.CO;2
    [10]
    Holland G J. 1980. An analytic model of the wind and pressure profiles in hurricanes. Monthly Weather Review, 108(8): 1212–1218. doi: 10.1175/1520-0493(1980)108<1212:AAMOTW>2.0.CO;2
    [11]
    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
    [12]
    Komen G J, Hasselmann S, Hasselmann K. 1984. On the existence of a fully developed wind-sea spectrum. Journal of Physical Oceanography, 14(8): 1271–1285. doi: 10.1175/1520-0485(1984)014<1271:OTEOAF>2.0.CO;2
    [13]
    Kuang Fangfang, Zhang Youquan, Zhang Junpeng, et al. 2015. Comparison and evaluation of three sea surface wind products in Taiwan Strait. Haiyang Xuebao (in Chinese), 37(5): 44–53
    [14]
    Li Jiangxia, Pan Shunqi, Chen Yongping, et al. 2018. Numerical estimation of extreme waves and surges over the northwest Pacific Ocean. Ocean Engineering, 153: 225–241. doi: 10.1016/j.oceaneng.2018.01.076
    [15]
    Liang Bingchen, Gao Huijun, Shao Zhuxiao. 2019. Characteristics of global waves based on the third-generation wave model SWAN. Marine Structures, 64: 35–53. doi: 10.1016/j.marstruc.2018.10.011
    [16]
    Liang Bingchen, Liu Xin, Li Huajun, et al. 2016. Wave climate hindcasts for the Bohai Sea, Yellow Sea, and East China Sea. Journal of Coastal Research, 32(1): 172–180
    [17]
    Miles J W. 1957. On the generation of surface waves by shear flows. Journal of Fluid Mechanics, 3(2): 185–204. doi: 10.1017/S0022112057000567
    [18]
    Mo Dongxue, Liu Yahao, Hou Yijun, et al. 2019. Bimodality and growth of the spectra of typhoon-generated waves in northern South China Sea. Acta Oceanologica Sinica, 38(11): 70–80. doi: 10.1007/s13131-019-1500-9
    [19]
    Pan Yi, Chen Yongping, Li Jiangxia, et al. 2016. Improvement of wind field hindcasts for tropical cyclones. Water Science and Engineering, 9(1): 58–66. doi: 10.1016/j.wse.2016.02.002
    [20]
    Phillips O M. 1957. On the generation of waves by turbulent wind. Journal of Fluid Mechanics, 2(5): 417–445. doi: 10.1017/S0022112057000233
    [21]
    Pierson Jr W J, Moskowitz L. 1964. A proposed spectral form for fully developed wind seas based on the similarity theory of S. A. Kitaigorodskii. Journal of Geophysical Research, 69(24): 5181–5190. doi: 10.1029/JZ069i024p05181
    [22]
    Saha S, Moorthi S, Wu Xingren, et al. 2014. The NCEP climate forecast system version 2. Journal of Climate, 27(6): 2185–2208. doi: 10.1175/JCLI-D-12-00823.1
    [23]
    Schloemer R W. 1954. Analysis and Synthesis of Hurricane Wind Patterns Over Lake Okeechobee, Florida. Washington: Weather Bureau, Department of Commerce and US Army Corps of Engineers
    [24]
    Shao Zhuxiao, Liang Bingchen, Li Huajun, et al. 2018. Blended wind fields for wave modeling of tropical cyclones in the South China Sea and East China Sea. Applied Ocean Research, 71: 20–33. doi: 10.1016/j.apor.2017.11.012
    [25]
    Stopa J E. 2018. Wind forcing calibration and wave hindcast comparison using multiple reanalysis and merged satellite wind datasets. Ocean Modelling, 127: 55–69. doi: 10.1016/j.ocemod.2018.04.008
    [26]
    Stopa J E, Cheung K F. 2014. Intercomparison of wind and wave data from the ECMWF reanalysis interim and the NCEP climate forecast system reanalysis. Ocean Modelling, 75: 65–83. doi: 10.1016/j.ocemod.2013.12.006
    [27]
    Wang Qisong, Deng Jiaquan, Liu Cheng, et al. 2017. Application of superimposed wind fields to the hindcast modelling of typhoon-induced waves in the South China Sea. Haiyang Xuebao (in Chinese), 39(7): 70–79
    [28]
    Wang Juanjuan, Gao Zhiyi, Wang Jiuke, et al. 2016. Validation on Jason-2 significant wave height product for China seas. Oceanologia et Limnologia Sinica (in Chinese), 47(3): 509–517
    [29]
    Wang Zhifeng, Li Shuiqing, Dong Sheng, et al. 2018. Extreme wave climate variability in South China Sea. International Journal of Applied Earth Observation and Geoinformation, 73: 586–594. doi: 10.1016/j.jag.2018.04.009
    [30]
    Zhang Peng, Chen Xiaoling, Lu Jianzhong, et al. 2011. Research on wave simulation of Bohai Sea based on the CCMP remotely sensed sea winds. Marine Science Bulletin (in Chinese), 30(3): 266–271
    [31]
    Zhou Yuanyuan, Zhou Lin, Guan Hao. 2016. Numerical simulation of typhoon waves in the Northwest Pacific Ocean. Marine Forecast (in Chinese), 33(5): 23–30
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(6)  / Tables(2)

    Article Metrics

    Article views (408) PDF downloads(35) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return