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Seasonal variability of thermocline in the Yellow Sea
作者姓名:乔方利  夏长水  施建伟  马建  葛人峰  袁业立
作者单位:The First Institute of Oceanography,State Oceanic Administration (SOA),Qingdao 266061,China Key Laboratory of Marine Science and Numerical Modeling (MASNUM),SOA,Qingdao 266061,China,The First Institute of Oceanography,State Oceanic Administration (SOA),Qingdao 266061,China Key Laboratory of Marine Science and Numerical Modeling (MASNUM),SOA,Qingdao 266061,China,Guest Researcher of MASNUM,SOA,China,The First Institute of Oceanography,State Oceanic Administration (SOA),Qingdao 266061,China Key Laboratory of Marine Science and Numerical Modeling (MASNUM),SOA,Qingdao 266061,China,The First Institute of Oceanography,State Oceanic Administration (SOA),Qingdao 266061,China Key Laboratory of Marine Science and Numerical Modeling (MASNUM),SOA,Qingdao 266061,China,The First Institute of Oceanography,State Oceanic Administration (SOA),Qingdao 266061,China Key Laboratory of Marine Science and Numerical Modeling (MASNUM),SOA,Qingdao 266061,China
基金项目:SupportedbytheNationalBasicResearchProgramofChina(G1999043809) theNationalScienceFoundationofChina(No.49736190).
摘    要:Based on the MASNUM wave-tide-circulation coupled numerical model, seasonal variability of thermocline in the Yellow Sea was simulated and compared with in-situ observations. Both simulated mixed layer depth (MLD) and thermocline intensity have similar spatial patterns to the observations. The simulated maximum MLD are 8 m and 22 m, while the corresponding observed values are 13 m and 27 m in July and October, respectively. The simulated thermocline intensity are 1.2℃/m and 0.5℃/m in July and October, respectively, which are 0.6℃/m less than those of the observations. It may be the main reason why the simulated thermocline is weaker than the observations that the model vertical resolution is less precise than that of the CTD data which is 1 m. Contours of both simulated and observed thermocline intensity present a circle in general. The wave-induced mixing plays a key role in the formation of the upper mixed layer in spring and summer. Tidal mixing enhances the thermocline intensity. Buoyancy-driven m

关 键 词:季节形变化  温度突变层  波浪  潮汐  环流  黄海
收稿时间:25 April 2004
修稿时间:28 May 2004

Seasonal variability of thermocline in the Yellow Sea
Qiao?Fangli,Xia?Changshui,Shi?Jianwei,Ma?Jian,Ge?Renfeng,Yuan?Yeli.Seasonal variability of thermocline in the Yellow Sea[J].Chinese Journal of Oceanology and Limnology,2004,22(3):299-305.
Authors:Qiao Fangli  Xia Changshui  Shi Jianwei  Ma Jian  Ge Renfeng  Yuan Yeli
Institution:(1) The First Institute of Oceanography, State Oceanic Administration (SOA), 266061 Qingdao, China;(2) Key Laboratory of Marine Science and Numerical Modeling (MASNUM), SOA, 266061 Qingdao, China;(3) SOA, China
Abstract:Based on the MASNUM wave-tide-circulation coupled numerical model, seasonal variability of thermocline in the Yellow Sea was simulated and compared with in-situ observations. Both simulated mixed layer depth (MLD) and thermocline intensity have similar spatial patterns to the observations. The simulated maximum MLD are 8 m and 22 m, while the corresponding observed values are 13 m and 27 m in July and October, respectively. The simulated thermocline intensity are 1.2°C/m and 0.5°C/m in July and October, respectively, which are 0.6°C/m less than those of the observations. It may be the main reason why the simulated thermocline is weaker than the observations that the model vertical resolution is less precise than that of the CTD data which is 1 m. Contours of both simulated and observed thermocline intensity present a circle in general. The wave-induced mixing plays a key role in the formation of the upper mixed layer in spring and summer. Tidal mixing enhances the thermocline intensity. Buoyancy-driven mixing destroys the thermocline in autumn and keeps the vertical temperature uniform in winter. Supported by the National Basic Research Program of China (G1999043809) and the National Science Foundation of China (No. 49736190).
Keywords:thennocline  the Yellow Sea  wave-tide-circulation coupled model  wave-induced mixing  tidalmixing
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