手法を比較

	最大共分散解析	経験的直交テレコネクション
分野	気象学	気象学
系統	Process / pipeline	Process / pipeline
提唱年	1992	1956
提唱者	Bretherton, Wallace	Lorenz, Wallace
種類	Covariance decomposition method	Data analysis and pattern identification
原典	Bretherton, C. S., Widmann, M., Dymnikov, V. P., Wallace, J. M., & Blade, I. (1992). The effective number of spatial degrees of freedom of a time-varying field. Journal of the Atmospheric Sciences, 49(11), 1063-1083.	Wallace, J. M., & Gutzler, D. S. (1981). Teleconnections in the geopotential height field during the Northern Hemisphere winter. Monthly Weather Review, 109(4), 784-812.
別名	MCA, Singular value decomposition, SVD analysis, Covariance analysis	EOF analysis, Empirical orthogonal function, Teleconnection patterns, PCA meteorology
関連	2	2
概要	Maximum covariance analysis (MCA) is a statistical technique that identifies coupled patterns of variability between two spatially distributed fields (e.g., sea surface temperature and precipitation). Unlike EOF analysis which focuses on variance in a single field, MCA identifies spatial patterns that are maximally correlated between two different fields.	Empirical orthogonal function (EOF) analysis is a statistical technique that identifies dominant spatial patterns and temporal variability in atmospheric or oceanic data. When applied to geographically distant locations, EOF analysis reveals teleconnection patterns—coherent patterns of variability that link weather systems across ocean basins and continents.