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文中,以水温垂直剖面的自模性将其由T-Z分布变为θ-η剖面为基础,在考虑海面加热,忽略热平流效应和来自海底的热通量情况下,将海洋分为4层,并在各层内利用其自模函数的积分趋于常量的特性,对引入自模函数的热传导方程进行推导运算,导出描述含中层冷水垂直热结构7个特征量的闭合方程组.当解得这些特征量之后,代入含有自模函数的温度表达式,即获得预报的整个水温剖面.为了检验模式的功能,我们利用东海西北部海域中27个测站,以5月5日和5月10日实测的特征量作为初值,分别试报了5月10日和5月15日的特征量及水温剖面.试报的结果表明:试报特征值和温度剖面与其实测值之间的平均绝对误差,特征温度小于或等于0.23℃,特征深度小于或等于1.18m,而水温剖面小于或等于0.20℃.由此可见,试报的效果是令人满意的.
In this paper, the ocean is divided into 4 layers based on the self-mold of vertical section of water temperature, which is based on the change from TZ distribution to θ-η section. Considering the sea surface heating, ignoring the effects of thermo-advection and heat flux from seafloor, And using the characteristic that the integral of the self-modulus function tends to a constant in each layer, the heat conduction equation introduced into the self-heating function is deduced and the closed equations describing the seven characteristic quantities of the vertical thermal structure with middle layer of cold water are deduced. These characteristic quantities are then substituted into the temperature expression containing the self-modulus function to obtain the predicted water temperature profile.In order to test the function of the model we use 27 stations in the northwestern East China Sea on May 5 and May 10 Day measured characteristics of the initial value of the test were reported on May 10 and May 15, the characteristics of the amount and temperature profile.Experimental results show that: the test report eigenvalues and temperature profiles and the measured absolute mean absolute The error, the characteristic temperature is less than or equal to 0.23 ℃, the characteristic depth is less than or equal to 1.18m, and the water temperature profile is less than or equal to 0.20 ℃ .Thus, the test results are satisfactory.