Record Display for the EPA National Library Catalog


Main Title Bayesian space-time downscaling fusion model (downscaler)-derived estimates of air quality for 2011 /
Author Reff, A. ; Phillips, S. ; Eyth, A. ; Mintz, D. ; Reff, Adam,
Other Authors
Author Title of a Work
Phillips, Sharon,
Eyth, Alison,
Mintz, David,
CORP Author Environmental Protection Agency, Research Triangle Park, NC. Office of Air Quality Planning and Standards.
Publisher U.S. Environmental Protection Agency, Office of Air Quality Planning and Standards, Air Quality Assessment Division,
Year Published 2015
Report Number EPA/454/S-15/001
Stock Number PB2016-103270
OCLC Number 953993160
Subjects Atmospheric ozone--Measurement--Mathematical models ; Air--Pollution--Measurement--Mathematical models ; Air quality monitoring stations
Additional Subjects Bayesian model ; Downscaling ; Fusion models ; Air quality ; Air Quality Model ; Ststistical data ; CMAQ(Community Multi-scale Air Quality Model)
Internet Access
Description Access URL
Library Call Number Additional Info Location Last
EKBD  EPA-454/S-15-001 Research Triangle Park Library/RTP, NC 08/15/2016
NTIS  PB2016-103270 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation ii, 102 pages : color illustrations, maps ; 28 cm
This report describes estimates of daily ozone (maximum 8-hour average) and PM2.5 (24-hour average) concentrations throughout the contiguous United States during the 2011 calendar year generated by EPA's recently developed data fusion method termed the "downscaler model" (DS). Air quality monitoring data from the State and Local Air Monitoring Stations (SLAMS) and numerical output from the Community Multiscale Air Quality (CMAQ) model were both input to DS to predict concentrations at the 2010 US census tract centroids encompassed by the CMAQ modeling domain. Information on EPA's air quality monitors, CMAQ model, and downscaler model is included to provide the background and context for understanding the data output presented in this report. These estimates are intended for use by statisticians and environmental scientists interested in the daily spatial distribution of ozone and PM2.5.
Project officer: David Mintz. Includes bibliographic references. "April 2015." "EPA-454/S-15-001."