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| Titel |
Inverse modeling of Texas NOx emissions using space-based and ground-based NO2 observations |
| VerfasserIn |
W. Tang, D. S. Cohan, L. N. Lamsal, X. Xiao, W. Zhou |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7316
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Chemistry and Physics ; 13, no. 21 ; Nr. 13, no. 21 (2013-11-12), S.11005-11018 |
| Datensatznummer |
250085808
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| Publikation (Nr.) |
 copernicus.org/acp-13-11005-2013.pdf |
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| Zusammenfassung |
| 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. |
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