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Title: Map pattern classification at a prescribed level of generality. [For Northern Hemisphere]

Conference ·
OSTI ID:5521047

Studies are reported on the development of a new map pattern correlation technique, to be applied to the analysis of Northern Hemisphere winter sea-level pressure anomaly patterns, and, where possible, the results are compared with those of principal component analysis of the same data. The map pattern recognition presented is in many ways comparable to the method of principal component eigenvectors. The pattern correlation method has several advantages over principal component eigenvectors.

Research Organization:
Oak Ridge National Lab., TN (USA)
DOE Contract Number:
W-7405-ENG-26
OSTI ID:
5521047
Report Number(s):
CONF-791031-2
Resource Relation:
Conference: 6. conference on probability and statistics in atmospheric sciences, Banff, Alberta, Canada, 9 Oct 1979
Country of Publication:
United States
Language:
English