Record Details

Multivariate data analysis

DRS at CSIR-National Institute of Oceanography

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Field Value
 
Title Multivariate data analysis
 
Creator Fernandes, A.A.
Antony, M.K.
Somayajulu, Y.K.
Sarma, Y.V.B.
Almeida, A.M.
Mahadevan, R.
 
Subject meteorology
TOPEX
Poseidon
anomaly data
Empirical Orthogonal Function
Varimax Rotation
 
Description This report describes some of the multivariate data analysis techniques used in meteorology and oceanography and provides the necessary background and software to undertake appropriate analyses
of a given data set. The multivariate data analysis techniques discussed are for the identification of simple patterns within a data set and between data sets, and for studying the characteristics of moving patterns in space-time data sets.
Among the data analysis techniques discussed are Empirical Orthogonal Function (EOF) Analysis, Complex EOF Analysis, and Canonical Correlation Analysis, which are useful in the description and prediction of climate.
Results of EOF and Complex EOF analysis of TOPEX/Poseidon derived sea level height anomaly data in the Indian and Pacific Oceans at inter-annual time scales are presented. Results of Canonical Correlation Analysis of a sample data set is also presented.
 
Date 2006-05-04T11:51:13Z
2006-05-04T11:51:13Z
2005
 
Type Technical Report
 
Identifier NIO Technical Report; 199 pp.
http://drs.nio.org/drs/handle/2264/90
 
Language en
 
Relation NIO/TR-10/2005
 
Format 180532 bytes
951042 bytes
1092697 bytes
73365 bytes
120390 bytes
application/pdf
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Publisher National Institute of Oceanography, Goa