Abstract
On the basis of the European Centre for Medium-range Weather Forecasts (ECMWF) 20 a wind field reanalysis data, the wave field of the north area of the South China Sea is calculated with the combination of the HIRHAM wind field model and the SWAN wave model. Then a significant wave height compared with the El Niño index to study the relationships between these variables. The following conclusions are drawn: (1) the wave height of the South China Sea has a strong seasonal variation, the wave height is much larger in winter than in summer; (2) in the South China Sea, the monthly average wave height of the north area has a negative correlation with the Niño3.4 index, most area of the South China Sea has a moderate correlation and the area between Taiwan Province of China and Philippines is highly correlated; and (3) in the strong El Niño years, the significant wave height in the north area of the South China Sea is significantly smaller than in other years; if the El Niño index variability is greater, the wave height decreases. In contrast, the significant wave height in the north area of the South China Sea is larger in the strong La Niña years.
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References
Chen Qili. 1989. A study of typhoon waves in the South China Sea. Marine Forecasts (in Chinese), 6(3): 1–11
Chu P C, Cheng K F. 2008. South China Sea wave characteristics during typhoon Muifa passage in winter 2004. Journal of Oceanography, 64(1): 1–21
Fang Guohong, Chen Haiying, Wei Zexun, et al. 2006. Trends and interannual variability of the South China Sea surface winds, surface height, and surface temperature in the recent decade. Journal of Geophysical Research, 111(C11): C11S16
Feng Lihua. 2001. Tropical cyclone in China and El Niño event. Marine Science (in Chinese), 25(9): 36–38
Han Shuzong, Shi Yujiao. 2013. The distributional character of typhoon waves in the east China sea. Periodical of Ocean University of China (in Chinese), 43(10): 1–7
Jia Xiao, Pan Junning, Niclasen B. 2010. Improvement and validation of wind energy input in SWAN model. Journal of Hohai University: Natural Sciences (in Chinese), 38(5): 585–591
Jiang Lifang, Zhang Zhixu, Qi Yiquan et al. 2011. Simulations of the northern South China Sea using WAVEWATCH III and SWAN. Journal of Tropical Oceanography (in Chinese), 30(5): 27–37
Kiladis G N, van Loon H. 1988. The southern oscillation: Part VII. Meteorological anomalies over the Indian and Pacific sectors associated with the extremes of the oscillation. Monthly Weather Review, 116(1): 120–136
Li Chongyin. 1988. Actions of typhoons over the western pacific (including the South China Sea) and El Niño. Advances in Atmospheric Sciences, 5(1): 107–115
Lim Y K, Kim K Y. 2007. ENSO impact on the space-time evolution of the regional Asian summer monsoons. Journal of Climate, 20(11): 2397–2415
Meng Cuiling, Xu Zongxue. 2007. Relation between ENSO and precipitation in Shandong. Yellow River (in Chinese), 29(1): 33–35, 42
Mirzaei A, Tangang F, Juneng L, et al. 2013. Wave climate simulation for southern region of the South China Sea. Ocean Dynamics, 63(8): 961–977
Mirzaei A, Tangang F, Juneng L. 2014. Wave energy potential along the east coast of Peninsular Malaysia. Energy, 68: 722–734
Qi Yiquan, Shi Ping, Mao Qingwen. 1998. Characteristics of sea wave over the northern South China Sea from GEOSAT altimetric observations. Haiyang Xuebao (in Chinese) 20(2): 20–26
Qi Yiquan, Shi Ping, Mao Qingwen, et al. 1998. Analysis of typhoon Betty 1987 on sea surface wind and wave over the western Pacific using Geosat altimetric data. Haiyang Xuebao (in Chinese), 20(3): 27–35
Rogers W E, Kaihatu J M, Hsu L, et al. 2007. Forecasting and hindcasting waves with the SWAN model in the Southern California Bight. Coastal Engineering, 54(1): 1–15
Shi Neng, Zhou Jiade. 1990. Statistical analysis of relationship between typhoon activities over the northwestern Pacific and El Niño/Southern oscillation. Journal of Nanjing Institute of Meteorology (in Chinese), 13(3): 402–409
Stopa J E, Cheung K F, Tolman H L, et al. 2013. Patterns and cycles in the climate forecast system reanalysis wind and wave data. Ocean Modelling, 70: 207–220
Sun Chengzhi, Zhang Shengjun. 2007. The relationship between El Niño and the activity of typhoon in southeast China sea. Ocean Technology (in Chinese), 26(4): 94–97
Wan Yong, Zhang Jie, Meng Junmin, et al. 2015. A wave energy resource assessment in the China’s seas based on multi-satellite merged radar altimeter data. Acta Oceanologica Sinica, 34(3): 115–124
Yaakob O, Hashim F E, Omar K M, et al. 2016. Satellite-based wave data and wave energy resource assessment for South China Sea. Renewable Energy, 88: 359–371
Yadav R K, Ramu D A, Dimri A P. 2013. On the relationship between ENSO patterns and winter precipitation over North and Central India. Global and Planetary Change, 107: 50–58
Yang Shengqiang, Hou Yijun, Liu Yahao. 2015. Observed typhoon wave spectrum in northern South China Sea. Chinese Journal of Oceanology and Limnology, 33(5): 1286–1294
Yu Mugeng. 1984. Analysing the characteristics of wave distribution in the south China sea on the basis of ship reports. Marine Science Bulletin (in Chinese), 3(4): 1–8
Yuan Yuan, Yang Hui, Li Chongyin. 2012. Study of El Niño events of different types and their potential impact on the following summer precipitation in China. Acta Meteorologica Sinica (in Chinese), 70(3): 467–478
Zheng Chongwei, Li Chongyin. 2015. Variation of the wave energy and significant wave height in the China Sea and adjacent waters. Renewable and Sustainable Energy Reviews, 43: 381–387
Zheng Chongwei, Pan Jing, Li Jiaxun. 2013. Assessing the China Sea wind energy and wave energy resources from 1988 to 2009. Ocean Engineering, 65: 39–48
Zheng Chongwei, Zheng Yuyan, Chen Hongchun. 2011. Research on wave energy resources in the northern south China sea during recent 10 years using SWAN wave model. Journal of Subtropical Resources and Environment (in Chinese), 6(2): 54–59
Zhou Liangming, Wu Lunyu, Guo Peifang, et al. 2007. Simulation and study of wave in South China Sea using WAVEWATCH-III. Journal of Tropical Oceanography (in Chinese), 26(5): 1–8
Zhuang Li. 1999. Characteristics of the wind and wave fields of typhoon over the northwest pacific. Meteorological Monthly (in Chinese), 24(7): 20–24
Acknowledgements
The authors thank the ECMWF for providing the sea surface wind speed data. We would also like to thank the NOAA National Weather Service Climate Prediction Center for providing the Niño3.4 index.
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Han, S., Fan, Y., Dong, Y. et al. A study on the relationships between the wave height and the El Niño in the north area of the South China Sea. Acta Oceanol. Sin. 36, 44–50 (2017). https://doi.org/10.1007/s13131-017-1059-2
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DOI: https://doi.org/10.1007/s13131-017-1059-2