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APPLICATION OF PROJECTION-PURSUIT PRINCIPAL COMPONENT ANALYSIS METHOD TO CLIMATE STUDIES

✍ Scribed by CHAN, JOHNNY C. L.; SHI, JIU-EN


Publisher
John Wiley and Sons
Year
1997
Tongue
English
Weight
194 KB
Volume
17
Category
Article
ISSN
0899-8418

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✦ Synopsis


Projection-pursuit (PP) principal component analysis (PCA) is a new statistical method that can deal with high-dimensional problems. In this paper, we show how this method can be applied to analyse regional monthly sea surface temperature and rainfall. Comparisons are made with results derived from the traditional empirical orthogonal function (EOF) method. The effect of simulated outliers in the original data on the results is then examined for these two methods. The PP-PCA method is shown to be much more robust than the EOF method. This suggests that the former should be considered as an alternative in many of the climate studies.


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