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A STUDY ON METHOD FOR EMPIRICAL ORTHOGONAL FIELD PREDICTION CONSIDERING INFLUENCE FACTORS
引用本文:苏育嵩. A STUDY ON METHOD FOR EMPIRICAL ORTHOGONAL FIELD PREDICTION CONSIDERING INFLUENCE FACTORS[J]. 中国海洋大学学报(自然科学版), 1989, 0(Z1)
作者姓名:苏育嵩
作者单位:Shandong College
摘    要:Sinee the predietion equations for EOF(Entpirical Orthogonal Fune-494青岛海洋大学学报1 9 89年tion)methods《belonging to 6eld foreeasting)are generally eonstrueted onthe basis of statistieal relations among predietands without eongidering theinnuenee of external faetors,while the regression analysis methods(晚long-ing to single·station foreeasting)eonsidering sueh in口uenee faeto“eannot show the internal relations among the predietand.〔l一3几The Pr暇ntPaper attemPts to introduee the innue…


A STUDY ON METHOD FOR EMPIRICAL ORTHOGONAL FIELD PREDICTION CONSIDERING INFLUENCE FACTORS
Su Yusong. A STUDY ON METHOD FOR EMPIRICAL ORTHOGONAL FIELD PREDICTION CONSIDERING INFLUENCE FACTORS[J]. Periodical of Ocean University of China, 1989, 0(Z1)
Authors:Su Yusong
Abstract:The prediction equations formulated in the existing prediction methods toy using the empirical orthogonal function are generally based upon field resolution according to the statistical relation among the predictands. The influence of external factors is seldom to be considered. The present paper attempts to introduce the influence factors into the empirical orthogonal prediction method. There are five different approaches to be proposed for this purpose, what the field prediction method with optimum factors is studied with emphasis. In this method we consider not only the internal correlation among the predictands but also the influence of external factors, and the optimal prediction equation which is suitable for predicting both values and grades that may he formulated by the selected optimum factors from the combinational factors.The conception of weighting correlation coefficient is suggested here. The obvious difference between it and other correlation coefficients is that the former has the field charactor. Several practical examples corresponding to the previous mentioned prediction methods are also presented in this paper.
Keywords:the empirical orthogonal field prediction  weighting correlation coe ff icient
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