EOF: 文件结束(End Of File);End of the File;经验正交函数(Empirical Orthogonal Function);电渗流 文件结束(End Of File)… www.360doc.com|基于8个网页 2. 经验正交方程 2.1经验正交方程(Empirical Orthogonal Function)72.1.1何时使用此方法?72.1.2专门用语 (Terminology)82.1.3建构资料92.1.4E… ...
EOF，即经验正交函数，是一种在气象学领域广泛应用的方法。在气象要素场的分析中，EOF作为一种随数据结构变化的特殊函数，具有显著的特性。它的主要作用是分解或展开气象数据，通过较少的项就能精准地近似复杂的变量场状态，展现出高效和精确的特性。EOF是大气科学，特别是动力气象学领域的重要工具。它归属...
Empirical orthogonal function (EOF) analysis was applied to the monthly averages of the TOMS ozone data set from November 1978 to October, 1993 for two latitude ranges. The EOF method yields a set of orthogonal (spatial) functions (or base-patterns) with are, unlike in most other ...
Empirical Orthogonal Functions
6) the empirical orthogonal function (EOF) 自然正交函数分解(EOF) 补充资料:回归正交设计法 分子式: CAS号: 性质:根据正交表安排试验,使得在每个试验点上获得的数据含有最大的信息,再用回归分析法来处理正交试验的数据,将试验指标与被考察的各因素之间的关系以回归方程更精确地表示出来。回归的正交设计兼容了正交...
3) empirical orthogonal function 经验正交函数 1. An analysis of sound velocity in waters off Zhujiang River estuary with the empirical orthogonal function(EOF); 珠江口外海水声速经验正交函数分析 2. Similar to the low-pass case,the band-pass signal segment was expanded based on a band-pass ...
Empirical orthogonal function (EOF) analysis is an important tool for climate studies. An important use of EOF analysis is in representing climate variability in terms of an orthogonal basis set. Many recent studies have employed EOF basis sets in conjunction with the development of climate signal ...
1) Empirical orthogonal function resolution 正交函数分解 1. In this paper, the method analyzing crustal deformation using empirical orthogonal function resolution was introduced . 论述了应用经验正交函数分解分析地壳垂直形变场,处理分析了甘肃河西地区的实测资料,结果显示,地壳垂直形变场的第一典型场对中强以上地...
1.5.2Empirical Orthogonal Function The EOF analysis decomposes a time-varying fieldT(x,y,t) into a set of mutually orthogonal spatial base functionsRn(x,y) and time seriesPn(t) (1.28)T(x,y,t)=∑n=1NPn(t)Rn(x,y) HereRn(x,y) is called thenth EOF mode andPn(t) the PC. In ...
An attempt to provide physical insight into the empirical orthogonal function (EOF) representation of data fields by the study of fields generated by linear stochastic models is presented in this paper. In a large class of these models, the EOFs at individual Fourier frequencies coincide with the...