GENERALITY OF SINGULAR VALUE DECOMPOSITION IN DIAGNOSTIC ANALYSIS OF METEOROLOGICAL FIELD
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Abstract
Theoretically,it is proved that SVD is a method in broad sense which is applied to the diagnostic analyses of spatialtemporal distributions as well as coupled signal for the individual meteorological field or between the two meteorological fields. The researches show that the derivation criterion of SVD is different from CCA model. and the CCA can be regarded as a special case of the SVD. and particularly the CCA of the two fields which be filtered by using PCA can be regarded as a equivalent method to SVD. as a rule. CCA can not only perfectly be replaced by SVD. but the advantage of SVD over the CCA is the effective interpretation of physical sense for the coupled signal and simple computation.Thus. SVD is a suitable method for the research of teleconnection patterns in the large spatial scale.
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