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ON THE FEASIBILITY OF USING SATELLITE DERIVED DATA TO INFER BOUNDARY-LAYER OZONE CONCENTRATION PATTERNS
Citation:
Eder, B. ON THE FEASIBILITY OF USING SATELLITE DERIVED DATA TO INFER BOUNDARY-LAYER OZONE CONCENTRATION PATTERNS. U.S. Environmental Protection Agency, Washington, D.C., EPA/600/R-94/081 (NTIS PB94170263), 1994.
Description:
Principal Component Analysis (PCA) was applied to six years (1985-1990) of surface data obtained from EPA's Aerometric Information and Retrieval System (AIRS) and satellite ozone data from the National Satellite Service Data Center (NSSDC) in order to determine whether ozone measurements derived from satellites could be used to infer surface-layer concentrations. xamination of the spatial and temporal characteristics associated with the first nonrotated principal components (which are the dominant components, explaining 37.95 and 41.25% of the total variance of the surface and satellite data sets, respectively) revealed considerable coherence between the data sets suggesting that on continental-scales, seasonal O3 patterns derived from the satellite data replicate, quite well, those of the surface. his coherence diminishes, however, when daily patterns are compared. pon orthogonal rotation, the PCA delineated four contiguous and statistically unique subregions with each data set (the Northwest, Northeast, Southwest and Southeast) that were very similar, suggesting that the satellite data may be able to discern O3 patterns on spatial scales as small as 1000 km. he temporal characteristics associated with the Southwest and Southeast subregions exhibited cross data set similarities, however, those associated with the Northwest and Northeast subregions were somewhat dissimilar.
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ON THE FEASIBILITY OF USING SATELLITE DERIVED DATA TO INFER BOUNDARY-LAYER OZONE CONCENTRATION PATTERNS