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008 190724c20uu9999ncuar o f0 0eng c
010 _a2019253044
040 _aGPO
_beng
_erda
_epn
_cGPO
_dMvI
042 _apcc
043 _an-us---
074 _a0483-E-51 (online)
086 0 _aEP 4.71:
099 _aEP 4.71:
245 0 0 _aBayesian space-time downscaling fusion model (downscaler) -derived estimates of air quality for ...
264 1 _aResearch Triangle Park, NC :
_bU.S. Environmental Protection Agency, Office of Air Quality Planning and Standards, Air Quality Assessment Division.
300 _a1 online resource (volumes)
310 _aAnnual
336 _btxt
337 _bc
_2rdamedia
338 _bcr
_2rdacarrier
588 _aDescription based on: 2009; title from PDF title page (EPA, viewed July 24, 2019).
588 _aLatest issue consulted: 2014 (EPA, viewed July 24, 2019).
500 _aCRDP Program record.
650 0 _aAtmospheric ozone
_xMeasurement
_xMathematical models
_vPeriodicals.
650 0 _aAir
_xPollution
_zUnited States
_xMeasurement
_vPeriodicals.
650 0 _aBayesian statistical decision theory
_vPeriodicals.
650 0 _aAir quality monitoring stations
_zUnited States
_vPeriodicals.
710 1 _aUnited States.
_bEnvironmental Protection Agency.
_bAir Quality Assessment Division,
_eissuing body.
856 4 0 _uhttp://purl.fdlp.gov/GPO/gpo120519
_zNepis.epa.gov, search publications box by "Bayesian Space-time Downscaling Fusion Model" and select desired issue
949 _aBEV
_bFed Docs
999 _c286639
_d286639