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Multi-scale variability of subsurface temperature in the South China Sea
作者姓名:Gao Rongzhen  Zhou Faxiu  Wang Dongxiao
作者单位:Gao Rongzhen,Zhou Faxiu,Wang Dongxiao1. Department of Marine Meteorology,Ocean University of Qingdao,Qingdao 266003,China2. Laboratory for Tropical Marine Environmental Dynamics,South China Sea Institute of Oceanology,Chinese Academy of Sciences
基金项目:This work was supported by both the Research Fund for the Doctoral Program of Higher Education under contract No. 1999042308,the Ministry of Science,Technology of China under contract No. 2001 DIA 50041.
摘    要:Using Morlet wavelet transform and harmonic analysis the multi-scale variability of subsurface temperature in the South China Sea is studied by analyzing one-year (from April 1998 to April 1999) ATLAS mooring data. By wavelet transform, annual and semi-annual cycle as well as intrasea-sonal variations are found, with different dominance, in subsurface temperature. For annual harmonic cycle, both the downward net surface heat flux and thermocline vertical movement partially control the subsurface temperature variability. For semi-annual cycle and intraseasonal variability, the subsurface temperature variability is mainly linked to the vertical displacement of thermocline.

关 键 词:The  South  China  Sea  subsurface  temperature  multi-scale  variability
收稿时间:2001/11/8 0:00:00
修稿时间:2002/1/24 0:00:00

Multi-scale variability of subsurface temperature in the South China Sea
Gao Rongzhen,Zhou Faxiu,Wang Dongxiao.Multi-scale variability of subsurface temperature in the South China Sea[J].Acta Oceanologica Sinica,2002,21(2):165-173.
Authors:Gao Rongzhen  Zhou Faxiu and Wang Dongxiao
Institution:1.Department of Marine Meteorology, Ocean University of Qingdao, Qingdao 266003, China2.Laboratory for Tropical Marine Environmental Dynamics, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
Abstract:Using Morlet wavelet transform and harmonic analysis the multi-scale variability of subsurface temperature in the South China Sea is studied by analyzing one-year (from April 1998 to April 1999) ATLAS mooring data. By wavelet transform, annual and semi-annual cycle as well as intrasea-sonal variations are found, with different dominance, in subsurface temperature. For annual harmonic cycle, both the downward net surface heat flux and thermocline vertical movement partially control the subsurface temperature variability. For semi-annual cycle and intraseasonal variability, the subsurface temperature variability is mainly linked to the vertical displacement of thermocline.
Keywords:The South China Sea  subsurface temperature  multi-scale variability
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