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
  • [41] Satellite observations of thermal variability in the South China Sea
    Zheng, Zhe-Wen
    Lin, Chun-Yi
    Tsao, Chih-Chung
    Ho, Chung-Ru
    Kuo, Nan-Jung
    OCEANS 2008 - MTS/IEEE KOBE TECHNO-OCEAN, VOLS 1-3, 2008, : 1094 - +
  • [42] Sea Level Change Analysis of South China Sea Using Altimeter Data
    Yang, Jungang
    Zhang, Jie
    Wang, Long
    INFORMATION TECHNOLOGY FOR RISK ANALYSIS AND CRISIS RESPONSE, 2014, 102 : 790 - 795
  • [43] Sea surface height variations in the South China Sea from satellite altimetry
    Shaw, PT
    Chao, SY
    Fu, LL
    OCEANOLOGICA ACTA, 1999, 22 (01) : 1 - 17
  • [44] Seasonal, interannual, and mesoscale variability of the Black Sea upper layer circulation derived from altimeter data
    Korotaev, G
    Oguz, T
    Nikiforov, A
    Koblinsky, C
    JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2003, 108 (C4)
  • [45] Association of the Sulu Sea surface circulation with the South China Sea
    Cai, Shuqun
    He, Yinghui
    JOURNAL OF MARINE SYSTEMS, 2010, 81 (04) : 335 - 340
  • [46] Variability of Kuroshio Surface Axis Northeast of Taiwan Island Derived from Satellite Altimeter Data
    Zhuang, Zhanpeng
    Zheng, Quanan
    Zhang, Xi
    Yang, Guangbing
    Zhao, Xinhua
    Cao, Lei
    Zhang, Ting
    Yuan, Yeli
    REMOTE SENSING, 2020, 12 (07)
  • [47] Sea level and Eddy Kinetic Energy variability in the Bay of Biscay, inferred from satellite altimeter data
    Caballero, A.
    Pascual, A.
    Dibarboure, G.
    Espino, M.
    JOURNAL OF MARINE SYSTEMS, 2008, 72 (1-4) : 116 - 134
  • [49] Spatiotemporal Variability of Surface Phytoplankton Carbon and Carbon-to-Chlorophyll a Ratio in the South China Sea Based on Satellite Data
    Xu, Wenlong
    Wang, Guifen
    Jiang, Long
    Cheng, Xuhua
    Zhou, Wen
    Cao, Wenxi
    REMOTE SENSING, 2021, 13 (01) : 1 - 18
  • [50] WIND FIELDS AT THE SEA-SURFACE DETERMINED FROM COMBINED SHIP AND SATELLITE ALTIMETER DATA
    SERVAIN, J
    GOHIN, F
    MUZELLEC, A
    JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 1993, 10 (06) : 880 - 886