Empirical eigenvector analysis of vector observations

作者: Donald M. Hardy

DOI: 10.1029/GL004I008P00319

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摘要: A method of deriving an empirical eigenvector or principal components representation wind velocity measurements is given. The mathematical basis for generalizing the to treatment vector data fields stated briefly. presented can be employed in analysis regional patterns. Applications technique other geophysical are also possible.

参考文章(5)
Charles K. Stidd, The Use of Eigenvectors for Climatic Estimates Journal of Applied Meteorology. ,vol. 6, pp. 255- 264 ,(1967) , 10.1175/1520-0450(1967)006<0255:TUOEFC>2.0.CO;2
G. H. Golub, C. Reinsch, Singular value decomposition and least squares solutions Numerische Mathematik. ,vol. 14, pp. 403- 420 ,(1970) , 10.1007/BF02163027
John W. Kidson, Eigenvector Analysis of Monthly Mean Surface Data Monthly Weather Review. ,vol. 103, pp. 177- 186 ,(1975) , 10.1175/1520-0493(1975)103<0177:EAOMMS>2.0.CO;2
D. M. Hardy, Wind power studies: Initial data and numerical calculations Lawrence Livermore National Lab. Report. ,(1975)