The purpose of this analysis is to develop a better understanding of these natural variations across various spatial and temporal scales. This will be achieved through the application of a multivariate statistical technique called rotated Principal Component Analysis (PCA) to the total column ozone data derived from Version 6.0 TOMS (Total Ozone Mapping Spectrometer) for the period 1984 through 1989. The analysis sorts initially correlated data into a hierarchy of statistically independent modes of variation which explain successively less and less of the total variation; thereby summarizing the essential information of that set so that meaningful and descriptive conclusions can be achieved. Examination of the time series associated with each unique subregion based on spectral density analysis.