विधियों की तुलना करें

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