Record Display for the EPA National Library Catalog

RECORD NUMBER: 37 OF 257

Main Title Bayesian space-time downscaling fusion model (downscaler)-derived estimates of air quality for 2010 /
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 2014
Report Number EPA/454/S-14/001
Stock Number PB2016-103269
OCLC Number 954003655
Subjects Atmospheric ozone--Measurement--Mathematical models ; Air--Pollution--Measurement--Mathematical models ; Air quality monitoring stations
Additional Subjects Bayesian model ; Downscaling ; Air qualtiy ; Air quality monitors ; Statistical fusion ; CMAQ(Community Multi-scale Air Quality Model)
Internet Access
Description Access URL
https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P100OOP7.PDF
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EKBD  EPA-454/S-14-001 Research Triangle Park Library/RTP, NC 08/15/2016
NTIS  PB2016-103269 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation ii, 94 pages : illustrations, maps ; 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 2010 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. Includes bibliographic references. "November 2014." "EPA-454/S-14-001."