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Wang Zongshan,Xu Bochang,Zou Emei,Yang Keqi,Li Fanhua.A study on the numerical prediction method for the vertical thermal structure in the Bohai Sea and the Huanghai Sea-Ⅰ. One-dimensional numerical prediction model[J].Acta Oceanologica Sinica,1992,(1):25-34
A study on the numerical prediction method for the vertical thermal structure in the Bohai Sea and the Huanghai Sea-Ⅰ. One-dimensional numerical prediction model
A study on the numerical prediction method for the vertical thermal structure in the Bohai Sea and the Huanghai Sea-Ⅰ. One-dimensional numerical prediction model
投稿时间:1989-10-20  修订日期:1990-04-10
DOI:
中文关键词:  
英文关键词:
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作者单位
Wang Zongshan First Institute of Oceanography, State Oceanic Administration, Qingdao 266003, China 
Xu Bochang First Institute of Oceanography, State Oceanic Administration, Qingdao 266003, China 
Zou Emei First Institute of Oceanography, State Oceanic Administration, Qingdao 266003, China 
Yang Keqi First Institute of Oceanography, State Oceanic Administration, Qingdao 266003, China 
Li Fanhua First Institute of Oceanography, State Oceanic Administration, Qingdao 266003, China 
摘要点击次数: 837
全文下载次数: 592
中文摘要:
      In this paper,on the basis of the heat conduction equation without consideration of the advection and turbulence effects,one-dimensional model for describing surface sea temperature (Ts),bottom sea temperature (Th) and the thickness of the upper homogeneous layer (h) is developed in terms of the dimensionless temperature θT and depth η and self-simulation function θT-f(η) of vertical temperature profile by means of historical temperature data.
The results of trial prediction with our one-dimensional model on Ts,Th,h,the thickness and gradient of thermocline are satisfactory to some extent.
英文摘要:
      In this paper,on the basis of the heat conduction equation without consideration of the advection and turbulence effects,one-dimensional model for describing surface sea temperature (Ts),bottom sea temperature (Th) and the thickness of the upper homogeneous layer (h) is developed in terms of the dimensionless temperature θT and depth η and self-simulation function θT-f(η) of vertical temperature profile by means of historical temperature data.
The results of trial prediction with our one-dimensional model on Ts,Th,h,the thickness and gradient of thermocline are satisfactory to some extent.
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