期刊文献+

The variability of eddy ki/netic energy in the South China Sea deduced from satellite altimeter data 被引量:13

The variability of eddy ki/netic energy in the South China Sea deduced from satellite altimeter data
下载PDF
导出
摘要 We used fifteen years (1993-2007) of altimetric data,combined from different missions (ERS-1/2,TOPEX/Poseidon,Jason-1,and Envisat),to analyze the variability of the eddy kinetic energy (EKE) in the South China Sea (SCS).We found that the EKE ranged from 64 cm2/s2 to 1 390 cm2/s2 with a mean value of 314 cm2/s2.The highest EKE center was observed to the east of Vietnam (with a mean value of 509 cm2/s2) and the second highest EKE region was located to the southwest of Taiwan Island (with a mean value of 319 cm2/s2).We also found that the EKE structure is the consequence of the superposition of different variability components.First,interannual variability is important in the SCS.Spectral analysis of the EKE interannual signal (IA-EKE) shows that the main periodicities of the IA-EKE to the east of Vietnam,to the southwest of Taiwan Island,and in the SCS are 3.75,1.87,and 3.75 years,respectively.It is to the south of Taiwan Island that the IA-EKE signal has the most obvious impact on EKE variability.In addition,the IA-EKE exhibit different trends in different regions.An obvious positive trend is observed along the east coast of Vietnam,while a negative trend is found to the southwest of Taiwan Island and in the east basin of Vietnam.Correlation analysis shows that the IA-EKE has an obvious negative correlation with the SSTA in Nio3 (5°S-5°N,90°W-150°W).El Nio-Southern Oscillation (ENSO) affects the IA-EKE variability in the SCS through an atmospheric bridge-wind stress curl over the SCS.Second,the seasonal cycle is the most obvious timescale affecting EKE variability.The locations of the most remarkable EKE seasonal variabilities in the SCS are to the east of Vietnam,to the southwest of Taiwan,and to the west of Philippines.To the east of Vietnam,the seasonal cycle is the dominant mechanism controlling EKE variability,which is attributed primarily to the annual cycle there of wind stress curl.In this area,the maximum EKE is observed in autumn.To the southwest of Taiwan Island,the EKE is enlarged by the stronger SCS circulation,which is caused by the intrusion branch from the Kuroshio in winter.Finally,intra-annual and mesoscale variability,although less important than the former,cannot be neglected.The most obvious intra-annual and mesoscale variability,which may be the result of baroclinic instability of the background flow,are observed to the southwest of Taiwan Island.Sporadic events can have an important effect on EKE variability. We used fifteen years (1993-2007) of altimetric data, combined from different missions (ERS-1/2, TOPEX/Poseidon, Jason-l, and Envisat), to analyze the variability of the eddy kinetic energy (EKE) in the South China Sea (SCS). We found that the EKE ranged from 64 cm2/s2 to 1 390 cm2/s2 with a mean value of 314 cm2/s2. The highest EKE center was observed to the east of Vietnam (with a mean value of 509 cm2/s2) and the second highest EKE region Was located to the southwest of Taiwan Island (with a mean value of 319 cm2/s2). We also found that the EKE structure is the consequence of the superposition of different variability components. First, interannual variability is important in the SCS. Spectral analysis of the EKE interannual signal (IA-EKE) shows that the main periodicities of the IA-EKE to the east of Vietuam, to the southwest of Taiwan Island, and in the SCS are 3.75, 1.87, and 3.75 years, respectively. It is to the south of Taiwan Island that the IA-EKE signal has the most obvious impact on EKE variability. In addition, the IA-EKE exhibit different trends in different regions. An obvious positive trend is observed along the east coast of Vietnam, while a negative trend is found to the southwest of Taiwan Island and in the east basin of Vietnam. Correlation analysis shows that the IA-EKE has an obvious negative correlation with the SSTA in Nifio3 (5°S-5°N, 90°W-150°W). E1 Nifio-Southem Oscillation (ENSO) affects the 1A-EKE variability in the SCS through an atmospheric bridge--wind stress curl over the SCS. Second, the seasonal cycle is the most obvious timescale affecting EKE variability. The locations of the most remarkable EKE seasonal variabilities in the SCS are to the east of Vietnam, to the southwest of Taiwan, and to the west of Philippines. To the east of Vietnam, the seasonal cycle is the dominant mechanism controlling EKE variability, which is attributed primarily to the annual cycle there of wind stress curl. In this area, the maximum EKE is observed in autumn. To the southwest of Taiwan Island, the EKE is enlarged by the stronger SCS circulation, which is caused by the intrusion branch from the Kuroshio in winter. Finally, intra-annual and mesoscale variability, although less important than the former, cannot be neglected. The most obvious intra-annual and mesoscale variability, which may be the result of baroclinic instability of the background flow, are observed to the southwest of Taiwan Island. Sporadic events can have an important effect on EKE variability.
出处 《Chinese Journal of Oceanology and Limnology》 SCIE CAS CSCD 2009年第4期943-954,共12页 中国海洋湖沼学报(英文版)
基金 Supported by the Knowledge Innovation Program of Chinese Academy of Sciences (Nos.KZCX1-YW-12,KZCX2-YW-201) National Natural Science Foundation of China (No.90411013)
关键词 测高法 旋涡动能 年度、内部的年度可变性 SCS altimetry eddy kinetic energy annual and interannual variability SCS
  • 相关文献

参考文献2

二级参考文献13

  • 1李荣凤,曾庆存.冬季中国海及其邻近海域海流系统的数值模拟[J].中国科学(B辑),1993,23(12):1329-1338. 被引量:10
  • 2李荣凤,黄企洲,王文质.南海上层海流的数值模拟[J].海洋学报,1994,16(4):13-22. 被引量:15
  • 3章凡,黄企洲,王文质,李毓湘,周国荣.南海深水区季平均海流的诊断计算[J].热带海洋,1994,13(3):8-16. 被引量:11
  • 4周发琇,沈积钧.南海大尺度地转环流的季节特征[J].热带海洋,1995,14(4):9-14. 被引量:4
  • 5Wyrtki K. Scientific results of marine investigations of the South China Sea and Gulf of Thailand 1959--1961[R]. Naga Report. Vol. 2. San Diego: Scripps Institution of Oceanography, University of California, 1961. 164--169.
  • 6Fu L L, Christensen E J, Yamarone C A, et al. TOPEX/Poseidon mission overview[J]. J. Geophys. Res. , 1994, 99:24369--24381.
  • 7Morimoto A, Yanagi T, Kandko A. Tidal correction of altimetry data in the Japan Sea[J]. J. Oceanogr. , 2000, 56:27979--27998.
  • 8Kelly K A. The influence of winds and topography on the sea surface temperature patterns over the Northern California slope[J]. J. Geophys. Res. , 1985, 90:11783--11798.
  • 9Chu P C, Lu S H, Chen Y C. Temporal and spatial variabilities of the South China Sea surface temperature anomaly[J].J. Geophys. Res., 1997a, 102:20937--20955.
  • 10Chu P C, Tseng H C, Chang C P, et al. South China Sea warm pool detected in spring from the Navy's Master Oceanographic Observational Data Set (MOODS)[J]. J. Geophys. Res. , 1997b, 102:15761--15771.

共引文献20

同被引文献110

引证文献13

二级引证文献86

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部