A numerical study on seasonal variations of the thermocline in the South China Sea based on the ROMS

FAN Wei SONG Jinbao LI Shuang

FANWei, SONGJinbao, LIShuang. 基于ROMS模型数值研究南海温跃层的季节变化[J]. 海洋学报英文版, 2014, 33(7): 56-64. doi: 10.1007/s13131-014-0504-8
引用本文: FANWei, SONGJinbao, LIShuang. 基于ROMS模型数值研究南海温跃层的季节变化[J]. 海洋学报英文版, 2014, 33(7): 56-64. doi: 10.1007/s13131-014-0504-8
FAN Wei, SONG Jinbao, LI Shuang. A numerical study on seasonal variations of the thermocline in the South China Sea based on the ROMS[J]. Acta Oceanologica Sinica, 2014, 33(7): 56-64. doi: 10.1007/s13131-014-0504-8
Citation: FAN Wei, SONG Jinbao, LI Shuang. A numerical study on seasonal variations of the thermocline in the South China Sea based on the ROMS[J]. Acta Oceanologica Sinica, 2014, 33(7): 56-64. doi: 10.1007/s13131-014-0504-8

基于ROMS模型数值研究南海温跃层的季节变化

doi: 10.1007/s13131-014-0504-8
基金项目: The National Basic Research Program of China under contract Nos 2011CB403501 and 2012CB417402;the Fund for Creative Research Groups by National Natural Science Foundation of China under contract No. 41121064;the Knowledge Innovation Programs of the Chinese Academy of Sciences under contract No. KZCX2-YW-Q07-02.

A numerical study on seasonal variations of the thermocline in the South China Sea based on the ROMS

  • 摘要: 基于ROMS模型,数值研究了南海温跃层的季节变化。模拟得到的水动力特征与以往研究一致:由于季风的存在,南海的环流在冬季是气旋式的,而在夏季是反气旋式的。模拟的温度剖面与航次观测数据的误差在海洋上层较小,表明模拟结果是合理的。根据温度垂向剖面的形状,分别定义了5种跃层类型(浅跃层、深跃层、混合跃层、双跃层和多跃层)。在冬季,东北季风盛行,大部分水深较浅的陆架海区域充分混合,跃层不明显,而深水区一般有深跃层存在,混合跃层和双跃层大多出现在南海南部冷涡附近。在夏季,西南季风盛行,具有浅跃层特征的陆架海区显著扩大。跃层分布与水深有一定关系,从浅水到深水呈现浅跃层-混合跃层-深跃层的变化规律,其中双跃层和多跃层多出现在水深梯度变化剧烈的海域。本文还讨论了跃层三要素(上界、厚度和强度)的季节变化特征。由于南海是台风频繁产生和经过的区域,本文还讨论了跃层对台风过程的短期响应。
  • Dale W L. 1956. Wind and drift current in the South China Sea. The Malayan Journal of Tropical Geography, 8: 1-31
    Guan Bingxian. 1999. Phenomenon of the inversion thermocline in winter in the coastal water of the west of East China Sea and its relation to circulation. Journal of Oceanography of Huanghai & Bohai Seas (in Chinese), 17(2): 1-7
    Haidvogel D B, Arango H, Budgell W P, et al. 2008. Ocean forecasting in terrain-following coordinates: formulation and skill assessment of the regional ocean modeling system. Journal of Computational Physics, 227: 3595-3624
    Hao Jiajia, Chen Yongli, Wang Fan. 2010. Temperature inversion in China seas. J Geophys Res, 115: C12025, doi: 10.1029/2010JC006297
    Hu Jianyu, Kawamura H, Hong Huasheng, et al. 2000. A review on the currents in the South China Sea: seasonal circulation, South China Sea Warm Current and Kuroshio intrusion. Journal of Oceanography, 56: 607-624
    Lan Jian, Bao Ying, Yu Fei, et al. 2006. Seasonal variabilities of the circulation and thermocline depth in the South China Sea deep water basin. Advance in Marine Science (in Chinese), 24(4): 436-445
    Li Peiliang, Qi Jianhua, Fang Xinhua. 2000. The characteristics of the sea water transition layer in the investigated area of Nansha Islands in Nov. 1997. Tansactions of Oceanology and Limnology (in Chinese), 1: 1-7
    Li Rongfeng, Zeng Qingcun, Ji Zhongzhen, et al. 1992. Numerical simulation for a northeastward flowing current from area off the eastern Hainan Island to Tsugaru/Soya Strait. La Mer, 30: 229-238
    Liu Guifang. 1989. Distribution characteristics of temperature, salinity and density in the continental shelf off east Guangdong during July 1987. Tropic Oceanology (in Chinese), 8(2): 39-47
    Liu Qinyu, Jia Yinglai, Liu Penghui, et al. 2001. Seasonal and intraseasonal thermocline variability in the central South China Sea. Geophys Res Lett, 28(23): 4467-4470
    Liu Qinyu, Yang Haijun, Wang Qi. 2000. Dynamic characteristics of seasonal thermocline in the deep sea region of the South China Sea. Chinese J Oceanol, 118(2): 104-109
    Mao Hanli, Qiu Daoli. 1964. National Oceanic Comprehensive Survey Report: Thermocline, Halocline, Pycnocline Phenomena in China Coastal waters Waters (in Chinese). Beijing: China Science Press, 116
    Pohlmann T. 1987. A three dimensional circulation model of the South China Sea. In: Nihoul J C J , Jamart B M, eds. Three-Dimensional Models of Marine and Estuarine Dynamics. New York: Elsevier, 245-268
    Qiu Zhang, Cai Shuqun. 2000. Distribution characteristics of mean sea temperature relative to thermocline in deep water of Nansha Islands sea area. Tropic Oceanology (in Chinese), 19(4): 10-13
    Shaw P T, Chao S Y. 1994. Surface circulation in the South China Sea. Deep-Sea Res Pt I, 40(11/12): 1663-1683
    Sun Chengxue, Liu Qinyu. 2011. Double eddy structure of the winter Luzon cold eddy based on satellite altimeter data. Journal of Tropical Oceanography (in Chinese), 30(3): 9-15
    Takano K, Harashima A, Namba T. 1998. A numerical simulation of the circulation in the South China Sea-Preliminary results. Acta Oceanogr Taiwanica, 37(2): 165-186
    Wang Bin, Wu Renguang, Lukas R. 2000. Annual adjustment of the thermocline in the tropical Pacific Ocean. Journal of Climate, 13: 596-616
    Yang Haijun, Liu Qinyu. 1998. The seasonal features of temperature distributions in the upper layer of the South China Sea. Oceanologia et Limnologia Sinica (in Chinese), 29(5): 501-507
    Zhang Mengning, Liu Jinfang, Mao Kexiu, et al. 2006. The general distribution characteristics of thermocline of China Sea. Marine Forecasts (in Chinese), 23(4): 51-58
    Zhou Faxiu, Ding Jie, Yu Shenyu. 1995. The intraseasonal oscillation of sea surface temperature in the South China Sea. Journal of Ocean University of Qingdao (in Chinese), 25(1): 1-6
    Zhou Yanxia, Fan Zhenhua, Yan Wenbin, et al. 2004. Thermocline comparison of SCS using BT and Nansen data. Marine Science Bulletin (in Chinese), 23(1): 22-26
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出版历程
  • 收稿日期:  2012-03-26
  • 修回日期:  2013-11-26

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