Application of spectral analysis techniques in the intercomparison of aerosol data : 1 . An EOF approach to analyze the spatial-temporal variability of aerosol optical depth using multiple remote sensing data sets

@inproceedings{Li2014ApplicationOS,
  title={Application of spectral analysis techniques in the intercomparison of aerosol data : 1 . An EOF approach to analyze the spatial-temporal variability of aerosol optical depth using multiple remote sensing data sets},
  author={Jing Li and Barbara E. Carlson and Andrew A. Lacis},
  year={2014}
}
[1] Many remote sensing techniques and passive sensors have been developed to measure global aerosol properties. While instantaneous comparisons between pixel-level data often reveal quantitative differences, here we use Empirical Orthogonal Function (EOF) analysis, also known as Principal Component Analysis, to demonstrate that satellite-derived aerosol optical depth (AOD) data sets exhibit essentially the same spatial and temporal variability and are thus suitable for large-scale studies… CONTINUE READING