Inverse modeling of Texas NOxﾠemissions using space-based and ground-based NO2ﾠobservations

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dc.citation.firstpage11005en_US
dc.citation.journalTitleAtmospheric Chemistry and Physicsen_US
dc.citation.lastpage11018en_US
dc.citation.volumeNumber13en_US
dc.contributor.authorTang, W.en_US
dc.contributor.authorCohan, D.S.en_US
dc.contributor.authorLamsal, L.N.en_US
dc.contributor.authorXiao, X.en_US
dc.contributor.authorZhou, W.en_US
dc.date.accessioned2016-02-02T21:22:53Zen_US
dc.date.available2016-02-02T21:22:53Zen_US
dc.date.issued2013en_US
dc.description.abstract Inverse modeling of nitrogen oxide (NOx) emissions using satellite-based NO2 observations has become more prevalent in recent years, but has rarely been applied to regulatory modeling at regional scales. In this study, OMI satellite observations of NO2 column densities are used to conduct inverse modeling of NOx emission inventories for two Texas State Implementation Plan (SIP) modeling episodes. Addition of lightning, aircraft, and soil NOx emissions to the regulatory inventory narrowed but did not close the gap between modeled and satellite-observed NO2 over rural regions. Satellite-based top-down emission inventories are created with the regional Comprehensive Air Quality Model with extensions (CAMx) using two techniques: the direct scaling method and discrete Kalman filter (DKF) with decoupled direct method (DDM) sensitivity analysis. The simulations with satellite-inverted inventories are compared to the modeling results using the a priori inventory as well as an inventory created by a ground-level NO2-based DKF inversion. The DKF inversions yield conflicting results: the satellite-based inversion scales up the a priori NOx emissions in most regions by factors of 1.02 to 1.84, leading to 3–55% increase in modeled NO2 column densities and 1–7 ppb increase in ground 8 h ozone concentrations, while the ground-based inversion indicates the a priori NOx emissions should be scaled by factors of 0.34 to 0.57 in each region. However, none of the inversions improve the model performance in simulating aircraft-observed NO2 or ground-level ozone (O3) concentrations.en_US
dc.identifier.citationTang, W., Cohan, D.S., Lamsal, L.N., et al.. "Inverse modeling of Texas NOxﾠemissions using space-based and ground-based NO2ﾠobservations." <i>Atmospheric Chemistry and Physics,</i> 13, (2013) European Geosciences Union: 11005-11018. http://dx.doi.org/10.5194/acp-13-11005-2013.en_US
dc.identifier.doihttp://dx.doi.org/10.5194/acp-13-11005-2013en_US
dc.identifier.urihttps://hdl.handle.net/1911/88310en_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.titleInverse modeling of Texas NOxﾠemissions using space-based and ground-based NO2ﾠobservationsen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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