Influence of satellite-derived photolysis rates and NOxﾠemissions on Texas ozone modeling

Simple item page
dc.citation.firstpage1601en_US
dc.citation.journalTitleAtmospheric Chemistry and Physicsen_US
dc.citation.lastpage1619en_US
dc.citation.volumeNumber15en_US
dc.contributor.authorTang, W.en_US
dc.contributor.authorCohan, D.S.en_US
dc.contributor.authorPour-Biazar, A.en_US
dc.contributor.authorLamsal, L.N.en_US
dc.contributor.authorWhite, A.T.en_US
dc.contributor.authorXiao, X.en_US
dc.contributor.authorZhou, W.en_US
dc.contributor.authorHenderson, B.H.en_US
dc.contributor.authorLash, B.F.en_US
dc.contributor.orgCivil and Environmental Engineeringen_US
dc.date.accessioned2016-02-02T21:22:53Zen_US
dc.date.available2016-02-02T21:22:53Zen_US
dc.date.issued2015en_US
dc.description.abstract Uncertain photolysis rates and emission inventory impair the accuracy of state-level ozone (O3) regulatory modeling. Past studies have separately used satellite-observed clouds to correct the model-predicted photolysis rates, or satellite-constrained top-down NOx emissions to identify and reduce uncertainties in bottom-up NOx emissions. However, the joint application of multiple satellite-derived model inputs to improve O3 state implementation plan (SIP) modeling has rarely been explored. In this study, Geostationary Operational Environmental Satellite (GOES) observations of clouds are applied to derive the photolysis rates, replacing those used in Texas SIP modeling. This changes modeled O3concentrations by up to 80 ppb and improves O3 simulations by reducing modeled normalized mean bias (NMB) and normalized mean error (NME) by up to 0.1. A sector-based discrete Kalman filter (DKF) inversion approach is incorporated with the Comprehensive Air Quality Model with extensions (CAMx)–decoupled direct method (DDM) model to adjust Texas NOx emissions using a high-resolution Ozone Monitoring Instrument (OMI) NO2 product. The discrepancy between OMI and CAMx NO2 vertical column densities (VCDs) is further reduced by increasing modeled NOx lifetime and adding an artificial amount of NO2 in the upper troposphere. The region-based DKF inversion suggests increasing NOx emissions by 10–50% in most regions, deteriorating the model performance in predicting ground NO2 and O3, while the sector-based DKF inversion tends to scale down area and nonroad NOx emissions by 50%, leading to a 2–5 ppb decrease in ground 8 h O3 predictions. Model performance in simulating ground NO2 and O3 are improved using sector-based inversion-constrained NOx emissions, with 0.25 and 0.04 reductions in NMBs and 0.13 and 0.04 reductions in NMEs, respectively. Using both GOES-derived photolysis rates and OMI-constrained NOx emissions together reduces modeled NMB and NME by 0.05, increases the model correlation with ground measurement in O3 simulations, and makes O3 more sensitive to NOx emissions in the O3 non-attainment areas.en_US
dc.identifier.citationTang, W., Cohan, D.S., Pour-Biazar, A., et al.. "Influence of satellite-derived photolysis rates and NOxﾠemissions on Texas ozone modeling." <i>Atmospheric Chemistry and Physics,</i> 15, (2015) European Geosciences Union: 1601-1619. http://dx.doi.org/10.5194/acp-15-1601-2015.en_US
dc.identifier.doihttp://dx.doi.org/10.5194/acp-15-1601-2015en_US
dc.identifier.urihttps://hdl.handle.net/1911/88313en_US
dc.language.isoengen_US
dc.publisherEuropean Geosciences Unionen_US
dc.rightsThis work is distributed under the Creative Commons Attribution 3.0 License.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/en_US
dc.titleInfluence of satellite-derived photolysis rates and NOxﾠemissions on Texas ozone modelingen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
acp-15-1601-2015.pdf
Size:
1.35 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Faculty Publications