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Wang Long, Wang Jing, Yang Jungang. The comprehensive analysis of sea-level change in the East China Sea[J]. Haiyang Xuebao, 2014, 36(1): 28-37. doi: 10.3969/j.issn.0253-4193.2014.01.004
Citation: Wang Long, Wang Jing, Yang Jungang. The comprehensive analysis of sea-level change in the East China Sea[J]. Haiyang Xuebao, 2014, 36(1): 28-37. doi: 10.3969/j.issn.0253-4193.2014.01.004

The comprehensive analysis of sea-level change in the East China Sea

doi: 10.3969/j.issn.0253-4193.2014.01.004
  • Received Date: 2012-11-01
  • On the basis of satellite altimeter data for 1993—2011, the seasonal signal, linear trend and low-frequency signal of the sea-level change in the East China Sea are investigated. The driving mechanisms of seasonal signal and low-frequency signal are analyzed by combining wind data, IshⅡ subsurface temperature and salinity data, sea surface temperature data and so on. The seasonal sea-level change mainly consists of annual signal, and occupies most of the sea-level change. The distribution of annual signal amplitude and phase is different in different regions. The main driving powers of seasonal signal in sea-level change are wind and thermal expansion, and the driving mechanisms are different in different regions and seasons. The leading role is also changing with the change of time and space. Besides, the seasonal signal is influenced by Kuroshio in the Kuroshio region. The mean linear trend of sea level is 3.28 mm/a and the trend is various in different places. The low-frequency signal of the sea-level change and the low-frequency signal of the steric sea-level change have notable relevance, and the correlation coefficient is 0.55. The low-frequency signal of the steric sea-level change and the low-frequency signal of SOI have certain relevance, and the max correlation coefficient is 0.3. ENSO can affect the steric sea-level change through the atmospheric circulation and the Kuroshio, and the steric sea-level change then can influence the sea-level change in the East China Sea. Therefore, ENSO can influence sea-level change through the steric-sea level change.
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  • 乔新, 陈戈. 基于11年高度计数据的中国海海平面变化初步研究[J]. 海洋科学, 2008, 32(4): 60-64.
    丁蓉蓉, 左军成, 杜凌, 等. 南海海平面变化及其比容高度和风场间的关系[J]. 中国海洋大学学报, 2007, 37: 23-30.
    刘秦玉, 贾英来, 杨海军, 等. 南海北部海面高度季节变化的机制[J]. 海洋学报, 2002, 24(增刊1):134-141.
    刘秦玉, 杨海军, 贾英来, 等. 南海海面高度季节变化的数值模拟[J]. 海洋学报, 2001, 23(2): 9-17.
    荣增瑞, 刘玉光, 陈满春, 等. 全球和南海海平面变化及其与厄尔尼诺的关系[J]. 海洋通报, 2008, 27(1): 1-8.
    刘雪源, 刘玉光, 郭琳, 等. 渤黄海海平面的变化及其与ENSO的关系[J]. 海洋通报, 2009, 28(5): 34-42.
    刘雪源, 刘玉光, 郭琳, 等. 30°N两侧东海海平面的低频变化及其与ENSO的关系[J]. 大地测量与地球动力学, 2009, 29(4): 55-63.
    Vigo M I, Snchez-Reales J M, Trottini M, et al. Mediterranean Sea level variations-Analysis of the satellite altimetric data, 1992-2008[J]. Journal of Geodynamics, 2011, 52: 271-278.
    Ricardo R Torres, Michael N Tsimplis, et al. Seasonal sea level cycle in the Caribbean Sea[J]. Journal of Geophysical Research, 2012, 117: 1-18.
    Alix Lombard, Anny Cazenave, Pierre-Yves Le Traon, et al. Contribution of thermal expansion to present-day sea-level change revisited[J]. Global Planet Change, 2005, 47:1-16.
    Gill A E. Atmosphere Ocean Dynamics[M]. San Diego: Academic Press, 1982.
    Gill A E, NⅡler P P. The theory of the seasonal variability in the ocean[J]. Deep-Sea Research and Oceanographic Abstracts, 1973, 20(2): 141-177.
    Vinogradov S V, Ponte R M, Heimbach P.The mean seasonal cycle in sea level estimated from a data-constrained general circulation model[J]. Journal of Geophysical Research, 2008, 113:1-15.
    孙湘平, 修树梦. 台湾东北海域冷涡的分析[J]. 海洋通报, 1997, 16(2): 1-10.
    王韶霞, 刘秦玉, 徐启春. 热带东印度洋-西太平洋海域OLR季节内振荡空间分布特征[J]. 海洋与湖沼, 2001, 31(1): 78-83.
    Cabanes C, Cazenave A, Provost C L. Sea level rise during past 40 years determined from satellite and in situ observations[J]. Science, 2001, 294: 840-842.
    Toshio Yamagata, Yoshiaki Shibao, Shin-ichiro Umatanit.Interannual variability of the Kuroshio extension and its relation to South Oscillation/El Niño[J]. Journal of the Oceanographical Society of Japan, 1985(41):271-291.
    孙湘平. 中国近海区域海洋[M]. 北京:海洋出版社, 2006.
    韩飞, 杜凌, 李杰, 等. 黑潮延伸体海域海平面变化及其与比容变化的关系[J]. 海洋湖沼通报, 2011(2): 8-19.
    王天顺, 刘玉光, 荣增瑞, 等. 近30年日本海热容海平面年际变化及其对ENSO的响应[J]. 海洋与湖沼, 2010, 41(4): 614-620.
    Song Y T, Qu Tangdong. Multiple satellite missions confirming the theory of seasonal oceanic variability in the northern North Pacific[J]. Marine Geodesy, 2011, 34:477-490.
    Rong Zengrui, Liu Yuguang, Zong Hanbo, et al. Inter-annual sea level variability in the South China Sea and its response to ENSO[J]. Global and Planetary Change, 2007, 55: 257-272.
    Mark A Merrifield, Mathew E Maltrud. Regional sea level trends due to a Pacific trade wind intensification[J]. Geophysical Research Letters, 2011, 38: 1-5.
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