Record Display for the EPA National Library Catalog

RECORD NUMBER: 25 OF 120

OLS Field Name OLS Field Data
Main Title Feasibility of Using Satellite Derived Data to Infer Surface-Layer Ozone Concentration Patterns.
Author Eder, B. K. ;
CORP Author Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Research and Exposure Assessment Lab. ;National Oceanic and Atmospheric Administration, Silver Spring, MD. Air Resources Lab.
Publisher May 94
Year Published 1994
Report Number EPA/600/R-94/081;
Stock Number PB94-170263
Additional Subjects Ozone ; Air pollution detection ; Satellite observation ; North America ; Air pollution monitoring ; Remote sensing ; Spatial distribution ; Principal components analysis ; Regional analysis ; Temporal distribution ; Feasibility studies ; Surface ozone concentration
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB94-170263 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 09/01/1994
Collation 49p
Abstract
The purpose of the study was to determine, through the utilization of a multivariate statistical technique called Principal Component Analysis (PCA), whether ozone measurements derived from satellites could be used to infer surface-layer concentrations. Examination 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. This coherence diminishes, however, when daily patterns are compared. Upon orthogonal rotation, the PCA delineated four contiguous and statistically unique subregions with each data set (the Northwest, Northeast, Southwest and Southeast) that were similar, suggesting that the satellite data may be able to discern O3 patterns on spatial scales as small as 1000 km.