Abstract
Based on sea level, air temperature, sea surface temperature (SST), air pressure and wind data during 1980–2014, this paper uses Morlet wavelet transform, Estuarine Coastal Ocean Model (ECOM) and so on to investigate the characteristics and possible causes of seasonal sea level anomalies along the South China Sea (SCS) coast. The research results show that: (1) Seasonal sea level anomalies often occur from January to February and from June to October. The frequency of sea level anomalies is the most in August, showing a growing trend in recent years. In addition, the occurring frequency of negative sea level anomaly accounts for 50% of the total abnormal number. (2) The seasonal sea level anomalies are closely related to ENSO events. The negative anomalies always occurred during the El Niño events, while the positive anomalies occurred during the La Niña (late El Niño) events. In addition, the seasonal sea level oscillation periods of 4–7 a associated with ENSO are the strongest in winter, with the amplitude over 2 cm. (3) Abnormal wind is an important factor to affect the seasonal sea level anomalies in the coastal region of the SCS. Wind-driven sea level height (SSH) is basically consistent with the seasonal sea level anomalies. Moreover, the influence of the tropical cyclone in the coastal region of the SCS is concentrated in summer and autumn, contributing to the seasonal sea level anomalies. (4) Seasonal variations of sea level, SST and air temperature are basically consistent along the coast of the SCS, but the seasonal sea level anomalies have no much correlation with the SST and air temperature.
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References
Cai Rongshuo. 2010. Climate Change Influence on the Ecosystem in the China Offshore (in Chinese). Beijing: China Ocean Press, 11–17
Ding Rongrong, Zuo Juncheng, Du Ling, et al. 2007. Sea level change in the South China Sea and its relationsto the steric height variation and wind. Periodical of Ocean University of China (in Chinese), 37(S2): 23–30
Fang Guohong, Zheng Wenzhen, Chen Zongyong, et al. 1986. Analysis and Forecast of Tidal and Current (in Chinese). Beijing: China Ocean Press, 268–281
Farge M. 1992. Wavelet transforms and their applications to turbulence. Annual Review of Fluid Mechanics, 24: 395–458
Intergovernmental Panel on Climate Change (IPCC). 2007. Climate Change 2007: The physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press
Lau K M, Weng Hengyi. 1995. Climate signal detection using wavelet transform: how to make a time series sing. Bulletin of the American Meteorological Society, 76(12): 2391–2402
Rong Zengrui, Liu Yuguang, Zong Haibo, et al. 2007. Interannual sea level variability in the South China Sea and its response to ENSO. Global and Planetary Change, 55(4): 257–272
State Oceanic Administration. 2011. Bulletin of the sea level of China (in Chinese). Beijing: Oceanic Administration
State Oceanic Administration. 2012. Bulletin of the sea level of China (in Chinese). Beijing: Oceanic Administration
State Oceanic Administration. 2013. Bulletin of the sea level of China (in Chinese). Beijing: Oceanic Administration
Wang Hui, Liu Kexiu, Fan Wenjing, et al. 2013a. Data uniformity revision and variations of the sea level of the western Bohai Sea. Marine Science Bulletin (in Chinese), 32(3): 256–264
Wang Hui, Liu Kexiu, Zhang Jianli, et al. 2013b. The sea level change of Sansha seas. Haiyang Xuebao (in Chinese), 35(3): 11–17
Yu Yifa. 2004. Advance of the researches on the variations of Mean- Sea-Level (MSL) in the coastal waters of China. Periodical of Ocean University of China (in Chinese), 34(5): 713–719
Yu Fei, Xu Yi. 2003. Study of long-term variational trend of sea surface temperature in the East China Sea. Advances in Marine Science (in Chinese), 21(4): 477–481
Zervas C E. 2009. Sea Level Variations of the United States 1854–2006. Silever Spring, Md: US Department of Commerce, National Oceanic and Atmospheric Administration
Zheng Wenzhen. 1999. Distribution of annual rates of sea level and variation of long-period constituents in China. Marine Science Bulletin (in Chinese), 18(4): 1–10
Zuo Juncheng, Yu Yifa, Chen Zongyong. 1994. The analysis of sealevel variation factor along China coast. Advance in Earth Science (in Chinese), 9(5): 48–53
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Foundation item: The National Key Research and Development Program of China under contract No. 2016YFC1402610.
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Wang, H., Liu, K., Gao, Z. et al. Characteristics and possible causes of the seasonal sea level anomaly along the South China Sea coast. Acta Oceanol. Sin. 36, 9–16 (2017). https://doi.org/10.1007/s13131-017-0988-0
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DOI: https://doi.org/10.1007/s13131-017-0988-0