Yunlei Zhang, Huaming Yu, Haiqing Yu, Binduo Xu, Chongliang Zhang, Yiping Ren, Ying Xue, Lili Xu. Optimization of environmental variables in habitat suitability modeling for mantis shrimp Oratosquilla oratoria in the Haizhou Bay and adjacent waters[J]. Acta Oceanologica Sinica, 2020, 39(6): 36-47. doi: 10.1007/s13131-020-1546-8
Citation: WANG Hui, LIU Kexiu, QI Dongmei, GAO Zhigang, FAN Wenjing, ZHANG Zengjian, WANG Guosong. Causes of seasonal sea level anomalies in the coastal region of the East China Sea[J]. Acta Oceanologica Sinica, 2016, 35(3): 21-29. doi: 10.1007/s13131-016-0825-x

Causes of seasonal sea level anomalies in the coastal region of the East China Sea

doi: 10.1007/s13131-016-0825-x
  • Received Date: 2014-11-14
  • Rev Recd Date: 2015-07-24
  • Based on the analysis of sea level, air temperature, sea surface temperature (SST), air pressure and wind data during 1980-2013, the causes of seasonal sea level anomalies in the coastal region of the East China Sea (ECS) are investigated. The research results show:(1) sea level along the coastal region of the ECS takes on strong seasonal variation. The annual range is 30-45 cm, larger in the north than in the south. From north to south, the phase of sea level changes from 140° to 231°, with a difference of nearly 3 months. (2) Monthly mean sea level (MSL) anomalies often occur from August to next February along the coast region of the ECS. The number of sea level anomalies is at most from January to February and from August to October, showing a growing trend in recent years. (3) Anomalous wind field is an important factor to affect the sea level variation in the coastal region of the ECS. Monthly MSL anomaly is closely related to wind field anomaly and air pressure field anomaly. Wind-driven current is essentially consistent with sea surface height. In August 2012, the sea surface heights at the coastal stations driven by wind field have contributed 50%-80% of MSL anomalies. (4) The annual variations for sea level, SST and air temperature along the coastal region of the ECS are mainly caused by solar radiation with a period of 12 months. But the correlation coefficients of sea level anomalies with SST anomalies and air temperature anomalies are all less than 0.1. (5) Seasonal sea level variations contain the long-term trends and all kinds of periodic changes. Sea level oscillations vary in different seasons in the coastal region of the ECS. In winter and spring, the oscillation of 4-7 a related to El Ni.o is stronger and its amplitude exceeds 2 cm. In summer and autumn, the oscillations of 2-3 a and quasi 9 a are most significant, and their amplitudes also exceed 2 cm. The height of sea level is lifted up when the different oscillations superposed. On the other hand, the height of sea level is fallen down.
  • Cai Rongshuo. 2010. Climate Change Influence on the Ecosystem in the China Offshore (in Chinese). Beijing:China Ocean Press, 2-29
    Du Bilan, Zhang Jianhua, Yuan Xiaojun. 1984. Spectrum analysis of sea surface temperature in the East China Sea and its outer re-gion. Marine Forecast Service (in Chinese), 1(1):1-8
    Fang Guohong, Zheng Wenzhen, Chen Zongyong, et al. 1986. Analys-is and Forecast of Tidal and Current (in Chinese). Beijing:China Ocean Press, 268-281
    Farge M. 1992. Wavelet transforms and their applications to turbu-lence. Annu Rev Fluid Mech, 24:395-457
    Intergovernmental Panel on Climate Change (IPCC). 2013. Climate Change 2013:The physical Science Basis. In:Stocker T F, Qin Dahe, Plattner G K, et al., eds. Contribution of Working Group Ⅰ to the Fifth 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 Amer-ican Meteorological Society, 76(12):2391-2402
    Li Kunping, Zhou Tianhua, Chen Zongyong. 1982. Monthly mean sea level changes and the preliminary analysis in China offshore. Marine Science Bulletin (in Chinese), 4(5):529-536
    State Oceanic Administration. 2011. Bulletin of the sea level of China
    State Oceanic Administration. 2012. Bulletin of the sea level of China
    State Oceanic Administration. 2013. Bulletin of the sea level of China
    Wang Hui, Fan Wenjing, Gao Zhigang, et al. 2012a. Analysis on sea level anomaly high in the coastal area of Bohai Sea and Yellow Sea. Marine Science Bulletin (in Chinese), 31(6):613-620
    Wang Hui, Fan Wenjing, Li Yan, et al. 2012b. Analysis on sea level an-omaly in the coastal area of Bohai Sea and Yellow Sea in Febru-ary. Marine Science Bulletin (in Chinese), 31(3):255-261
    Wang Hui, Liu Kexiu, Fan Wenjing, et al. 2013a. Data uniformity revi-sion 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 sur-face 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. Silver Spring, MD:U. S. Dept. of Commence, 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 sea-level variation factor along China coast. Advance in Earth Sci-ences (in Chinese), 9(5):48-53
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