Book chapter
Meteorological Contribution to Variability in Particulate Matter Concentrations
Proceedings of the American Geophysical Union 2006 Fall Meeting
01/01/2006
Abstract
Local concentrations of fine particulate matter (PM) are driven by a number of processes, including emissions of aerosols and gaseous precursors, atmospheric chemistry, and meteorology at local, regional, and global scales. We apply statistical downscaling methods, typically used for regional climate analysis, to estimate the contribution of regional scale meteorology to PM mass concentration variability at a range of sites in the Upper Midwestern U.S. Multiple years of daily PM$_{10}$ and PM$_{2.5}$ data, reported by the U.S. Environmental Protection Agency (EPA), are correlated with large-scale meteorology over the region from the National Centers for Environmental Prediction (NCEP) reanalysis data. We use two statistical downscaling methods (multiple linear regression, MLR, and analog) to identify which processes have the greatest impact on aerosol concentration variability. Empirical Orthogonal Functions of the NCEP meteorological data are correlated with PM timeseries at measurement sites. We examine which meteorological variables exert the greatest influence on PM variability, and which sites exhibit the greatest response to regional meteorology. To evaluate model performance, measurement data are withheld for limited periods, and compared with model results. Preliminary results suggest that regional meteorological processes account over 50% of aerosol concentration variability at study sites.
Details
- Title: Subtitle
- Meteorological Contribution to Variability in Particulate Matter Concentrations
- Creators
- H L WoodsS N SpakT Holloway
- Resource Type
- Book chapter
- Publication Details
- Proceedings of the American Geophysical Union 2006 Fall Meeting
- Language
- English
- Date published
- 01/01/2006
- Academic Unit
- Civil and Environmental Engineering; School of Planning and Public Affairs; Public Policy Center (Archive)
- Record Identifier
- 9984000922402771
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