期刊文献+

台湾以东海域声速剖面序列的EOF分析 被引量:18

EOF Analysis of Sound Speed Profiles in Sea Area East of Taiwan
下载PDF
导出
摘要 利用了4 a的Argo剖面序列,通过经验正交函数(EOF)分析,得出了台湾以东海域声速垂直结构的时空变化特征。EOF拟合声速剖面的精度与选取的模态数有关,合成剖面时包含的模态数越多,精度越高;前3-6个模态反映了海区声速结构的主要变化,累积方差贡献率可达89.4%-96.6%。第1模态描述了声速在垂直方向上的同相变化,具有年周期,峰值和谷值分别出现在夏季和冬季;第2模态描述了声速在近表层与次表层和主跃层的反相变化。第1、2模态的共同作用是声速垂直结构差异的主导因素,使近表层声速的季节性变化较大,而主跃层的变化相对较小;而第3模态及更高阶的模态对声速剖面的调制作用在物理意义上并不明显。 Based on the 4 years' Argo data,the characteristics of temporal and spatial variations in sound speed profiles(SSPs) are acquired from the sea area east of Taiwan by means of empirical orthogonal functions(EOF) method.The accuracy of the sound speed profiles fitted by means of EOF method depends upon the selected EOF modes in the fitting.The more modes are involved in the profile fitting,the better the accuracy of the fitted profile becomes.The main features of the sound speed structures in the studied area can be reflected using the first 3-6 modes.The total variance added up from the modes can be ashighas 89.4%-96.6%.The first mode denotes the variations from the surface layer to the bottom layer being in phase with each other,they are seasonal variation with the highest sound speed in summer and the lowest in winter.The second mode denotes the voriations in both the surface layer and the subsurface layer being of opposite phase to the variation in the thermoclines.Mode 1 and Mode 2 are the dominant components for expression the variant patterns in the sound speed structures,the significant seasonal variation in the top layer,and the less significant seasonal variation in the thermoclines.The third mode and the others are insignificant for reflecting the patterns in the sound speed profiles.
出处 《海洋科学进展》 CAS CSCD 北大核心 2010年第4期498-506,共9页 Advances in Marine Science
关键词 声速剖面 经验正交函数(EOF) 台湾东部海域 ARGO sound speed profile(SSP) empirical orthogonal function(EOF) sea area east of Taiwan Argo
  • 相关文献

参考文献21

二级参考文献83

  • 1ZHU Jiang1,2, ZHOU Guangqing1, YAN Changxiang1, FU Weiwei1 & YOU Xiaobao1,3 1. International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China,2. Jiangsu Key Laboratory of Meteorological Disaster, Nanjing University of Information Science and Technology, Nanjing 210044, China,3. Beijing Institute of Applied Meteorology, Beijing 100029, China.A three-dimensional variational ocean data assimilation system:Scheme and preliminary results[J].Science China Earth Sciences,2006,49(11):1212-1222. 被引量:35
  • 2郭炳火,汤毓祥,陆赛英,孟凡,费尊乐,林葵,李宝华.春季东海黑潮锋面涡旋的观测与分析[J].海洋学报,1995,17(1):13-23. 被引量:13
  • 3闫长香,朱江,周广庆.Impacts of XBT,TAO,Altimetry and ARGO Observations on the Tropical Pacific Ocean Data Assimilation[J].Advances in Atmospheric Sciences,2007,24(3):383-398. 被引量:6
  • 4聂铁军.数值计算方法[M].西北工业大学出版社,1989..
  • 5刘钦圣.最小二乘问题计算方法[M].北京工业大学出版社,1984..
  • 6潘玉球 徐端蓉 等.浙江沿岸上升流区的锋面结构、变化及其原因[J].海洋学报,1985,7(4):401-411.
  • 7郭炳火 邹娥梅 等.黄海、东海水交换的季节变异[J].海洋学报,2000,22:13-23.
  • 8毛汉礼 任允武 万国铭.应用T-S关系定量地分析浅海水团的初步分析[J].海洋与湖沼,1964,6(1):1-23.
  • 9海洋图集编委会.渤海黄海东海海洋图集(水文)[M].北京:海洋出版社,1992.13-168.
  • 10Beardsley R C, Limeburber R, Yu H et al, 1985. Discharging of the Changjiang (Yangtze River) into the East China Sea. Continental Shelf Research, 4 (1/2) : 57 -76.

共引文献240

同被引文献154

引证文献18

二级引证文献98

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