01686nas a2200397 i 4500001001300000003000600013005001700019006001900036007001500055008004100070010001500111040003200126042000800158043001200166074002300178086001300201099001300214245010600227264015100333300003200484310001100516336000800527337001600535338001900551588008700570588006200657500002500719650007000744650006100814650005500875650006500930710010200995856015401097949001801251999001901269on1110021043OCoLC20190831141032.0m     o  d f      cr |||||||||||190724c20uu9999ncuar   o    f0    0eng c  a2019253044  aGPObengerdaepncGPOdMvI  apcc  an-us---  a0483-E-51 (online)0 aEP 4.71:  aEP 4.71:00aBayesian space-time downscaling fusion model (downscaler) -derived estimates of air quality for  ...  1aResearch Triangle Park, NC :bU.S. Environmental Protection Agency, Office of Air Quality Planning and Standards, Air Quality Assessment Division.  a1 online resource (volumes)  aAnnual  btxt  bc2rdamedia  bcr2rdacarrier  aDescription based on: 2009; title from PDF title page (EPA, viewed July 24, 2019).  aLatest issue consulted: 2014 (EPA, viewed July 24, 2019).  aCRDP Program record. 0aAtmospheric ozonexMeasurementxMathematical modelsvPeriodicals. 0aAirxPollutionzUnited StatesxMeasurementvPeriodicals. 0aBayesian statistical decision theoryvPeriodicals. 0aAir quality monitoring stationszUnited StatesvPeriodicals.1 aUnited States.bEnvironmental Protection Agency.bAir Quality Assessment Division,eissuing body.40uhttp://purl.fdlp.gov/GPO/gpo120519zNepis.epa.gov, search publications box by "Bayesian Space-time Downscaling Fusion Model" and select desired issue  aBEVbFed Docs  c286639d286639