Variability of surface circulation in the South China Sea from satellite altimeter data

被引:14
|
作者
Guo Junjian
Fang Wendong [1 ]
Fang Guohong
Chen Haiying
机构
[1] Chinese Acad Sci, Key Lab Trop Marine Environm Dynam, S China Sea Inst Oceanol, Guangzhou 510301, Peoples R China
[2] State Ocean Adm Qingdao, Inst Oceanog 1, Key Lab Marine Sci & Numer Modeling, Qingdao 266061, Peoples R China
[3] Chinese Acad Sci, Inst Oceanol, Qingdao 266001, Peoples R China
来源
CHINESE SCIENCE BULLETIN | 2006年 / 51卷
基金
中国国家自然科学基金;
关键词
South China Sea; sea surface height; EOF analysis; time-space variability;
D O I
10.1007/s11434-006-9001-6
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
11-year satellite altimeter sea surface height (SSH) anomaly data from January 1993 to December 2003 are used to present the dominant spatial patterns and temporal variations of the South China Sea (SCS) surface circulation through Empirical Orthogonal Function (EOF) analysis. The first three EOF modes show the obvious seasonal variations of SSH in the SCS. EOF mode one is generally characterized by a basin-wide circulation. Mode two describes the double-cell basin scale circulation structure. The two cells were located off west of the Luzon Island and southeast of Vietnam, respectively. EOF mode three presents the mesoscale eddy structure in the western SCS, which develops into a strong cyclonic eddy rapidly from July to September. EOF mode one and mode three are also embedded with interannual signals, indicating that the SCS surface circulation variation is influenced by El Nino events prominently. The strong El Nino of 1997/98 obviously changed the SCS circulation structure. This study also shows that there existed a series of mesoscale eddies in the western SCS, and their temporal variation indicates intra-seasonal and interannual signals.
引用
收藏
页码:1 / 8
页数:8
相关论文
共 50 条
  • [21] Variability of the deep South China Sea circulation derived from HYCOM reanalysis data
    Zhu, Yaohua
    Cao, Guojiao
    Wang, Yonggang
    Li, Shujiang
    Xu, Tengfei
    Wang, Dingqi
    Teng, Fei
    Wei, Zexun
    ACTA OCEANOLOGICA SINICA, 2022, 41 (07) : 54 - 64
  • [22] Seasonal variability of thermal fronts in the northern South China Sea from satellite data
    Wang, DX
    Liu, Y
    Qi, YQ
    Shi, P
    GEOPHYSICAL RESEARCH LETTERS, 2001, 28 (20) : 3963 - 3966
  • [23] Modal recovery of sea-level variability in the South China Sea using merged altimeter data
    Haoyu Jiang
    Ge Chen
    Chinese Journal of Oceanology and Limnology, 2015, 33 : 1233 - 1244
  • [24] Modal recovery of sea-level variability in the South China Sea using merged altimeter data
    Jiang Haoyu
    Chen Ge
    CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2015, 33 (05): : 1233 - 1244
  • [25] Numerical simulation and satellite altimeter data assimilation of the Japan Sea circulation
    Hirose, N
    Fukumori, I
    Kim, CH
    Yoon, JH
    DEEP-SEA RESEARCH PART II-TOPICAL STUDIES IN OCEANOGRAPHY, 2005, 52 (11-13) : 1443 - 1463
  • [26] Estimation of sea level variability in the South China Sea from satellite altimetry and tide gauge data
    Fu, Yanguang
    Zhou, Xinghua
    Zhou, Dongxu
    Li, Jie
    Zhang, Wanjun
    ADVANCES IN SPACE RESEARCH, 2021, 68 (02) : 523 - 533
  • [27] SURFACE CIRCULATION IN THE SOUTH CHINA SEA
    SHAW, PT
    CHAO, SY
    DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS, 1994, 41 (11-12) : 1663 - 1683
  • [28] Studies of upper layer circulations of the South China Sea from Satellite altimeter observation
    Chen Chuntao
    Zhu Jianhua
    Wang He
    Huang Xiaoqi
    35TH INTERNATIONAL SYMPOSIUM ON REMOTE SENSING OF ENVIRONMENT (ISRSE35), 2014, 17
  • [29] Interannual variability of South Atlantic circulation from 4 years of TOPEX/POSEIDON satellite altimeter observations
    Witter, DL
    Gordon, AL
    JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1999, 104 (C9) : 20927 - 20948
  • [30] Sea of Japan surface circulation (from satellite and drifter data)
    Ginzburg, AI
    Kostyanoi, AG
    Ostrovskii, AG
    EARTH OBSERVATION AND REMOTE SENSING, 2000, 16 (01): : 89 - 112