विधियों की तुलना करें

	अधिकतम सहप्रसरण विश्लेषण (Maximum Covariance Analysis)	अनुभवजन्य ऑर्थोगोनल टेलीकनेक्शन
क्षेत्र	मौसम विज्ञान	मौसम विज्ञान
परिवार	Process / pipeline	Process / pipeline
उद्भव वर्ष	1992	1956
प्रवर्तक	Bretherton, Wallace	Lorenz, Wallace
प्रकार	Covariance decomposition method	Data analysis and pattern identification
मौलिक स्रोत	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.
उपनाम	MCA, Singular value decomposition, SVD analysis, Covariance analysis	EOF analysis, Empirical orthogonal function, Teleconnection patterns, PCA meteorology
संबंधित	2	2
सारांश	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.