Record Display for the EPA National Library Catalog

RECORD NUMBER: 1 OF 6

OLS Field Name OLS Field Data
Main Title Bayesian space-time downscaling fusion model (downscaler)-derived estimates of air quality for 2009 /
Author Baldridge, Ellen,
Other Authors
Author Title of a Work
Cakir, Halil,
Eyth, Alison,
Holland, Dave,
Mintz, David,
Phillips, Sharon,
Reff, Adam,
CORP Author Environmental Protection Agency, Research Triangle Park, NC. Office of Air Quality Planning and Standards.
Publisher United States Environmental Protection Agency, Office of Air Quality Planning and Standards, Air Quality Assessment Division,
Year Published 2014
Report Number EPA/454/R-14/001
Stock Number PB2016-103357
OCLC Number 956736181
Subjects Air quality management--Mathematical models. ; Bayesian statistical decision theory. ; Air--Pollution--United States--Measurement. ; Air--Pollution--United States--Measurements.
Additional Subjects Air quality data ; Ambient Air Quality Monitoring Network ; Bayesian space-time downscaling ; Downscaling ; Fusion modeling ; Emissions modeling ; Exposure studies ; air pollution concentration estimates
Internet Access
Description Access URL
https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P100P2HK.PDF
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EJBD ARCHIVE EPA-454/R-14-001 Headquarters Library/Washington,DC 08/26/2016
EKBD  EPA-454/R-14-001 Research Triangle Park Library/RTP, NC 09/02/2016
NTIS  PB2016-103357 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 03/13/2017
Collation ii, 125 pages : color illustrations, maps, charts ; 28 cm
Abstract
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 2009 calendar year generated by EPA's recently developed data fusion method termed the "downscaler model" (DS). Air quality monitoring data from the National Air Monitoring Stations/State and Local Air Monitoring Stations (NAMS/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.
Notes
Project Officer: David Mintz. "EPA-454/R-14-001." "January 2014."