Spatiotemporal variability of total column ozone derived from TOMS using rotated principal component analysis

Sharon K. LeDuc; Brian K. Eder; Lawrence Truppi

doi:10.1117/12.228537

15 December 1995 Spatiotemporal variability of total column ozone derived from TOMS using rotated principal component analysis

Sharon K. LeDuc, Brian K. Eder, Lawrence Truppi

Author Affiliations +

Proceedings Volume 2582, Atmospheric Sensing and Modeling II; (1995) https://doi.org/10.1117/12.228537
Event: Satellite Remote Sensing II, 1995, Paris, France

Abstract

The global distribution of total column ozone ((Omega) ) is attracting great international attention as concerns over reduced global abundances escalate. Detection of a trend is an arduous task, made difficult by numerous natural inter- and intra-annual fluctuations, many of which are not well understood. Accordingly, this study analyzes these natural variations (across all spatial and temporal scales) through the application of rotated principal component analysis (PCA) to the (Omega) data derived from version 6.0 TOMS (total ozone mapping spectrometer) for the period 1984-1989. Utilization of Kaiser's varimax orthogonal rotation allowed delineation of eleven homogeneous subregions that together accounted for 74.08% of the total variance. Each subregion displayed statistically unique (Omega) characteristics that were further examined through time series and spectral analysis, allowing identification of the probable phenomena (i.e. annual and semiannual cycles, QBO, ENSO, baroclinic waves) responsible for the variability of (Omega) .

Citation Download Citation

Sharon K. LeDuc, Brian K. Eder, and Lawrence Truppi "Spatiotemporal variability of total column ozone derived from TOMS using rotated principal component analysis", Proc. SPIE 2582, Atmospheric Sensing and Modeling II, (15 December 1995); https://doi.org/10.1117/12.228537

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