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Evaluating NOx emission inventories for regulatory air quality modeling using satellite and air quality model data
Abstract The purpose of this study was to assess the accuracy of NOx emissions in the Texas Commission on Environmental Quality's (TCEQ) State Implementation Plan (SIP) modeling inventories of the southeastern U.S. We used retrieved satellite tropospheric NO2 columns from the Ozone Monitoring Instrument (OMI) together with NO2 columns from the Comprehensive Air Quality Model with Extensions (CAMx) to make top–down NOx emissions estimates using the mass balance method. Two different top–down NOx emissions estimates were developed using the KNMI DOMINO v2.0 and NASA SP2 retrievals of OMI NO2 columns. Differences in the top–down NOx emissions estimates made with these two operational products derived from the same OMI radiance data were sufficiently large that they could not be used to constrain the TCEQ NOx emissions in the southeast. The fact that the two available operational NO2 column retrievals give such different top–down NOx emissions results is important because these retrievals are increasingly being used to diagnose air quality problems and to inform efforts to solve them. These results reflect the fact that NO2 column retrievals are a blend of measurements and modeled data and should be used with caution in analyses that will inform policy development. This study illustrates both benefits and challenges of using satellite NO2 data for air quality management applications. Comparison with OMI NO2 columns pointed the way toward improvements in the CAMx simulation of the upper troposphere, but further refinement of both regional air quality models and the NO2 column retrievals is needed before the mass balance and other emission inversion methods can be used to successfully constrain NOx emission inventories used in U.S. regulatory modeling.
Highlights We used OMI and CAMx NO2 columns to estimate NOx emissions over the southeast U.S. NOx emissions estimates were developed using DOMINO v2.0 and NASA SP2 retrievals. The two top–down NOx estimates were quite different over the southeast U.S. These disparities were due to differences in the two NO2 retrievals. It was not possible to constrain the TCEQ's NOx inventory with these estimates.
Evaluating NOx emission inventories for regulatory air quality modeling using satellite and air quality model data
Abstract The purpose of this study was to assess the accuracy of NOx emissions in the Texas Commission on Environmental Quality's (TCEQ) State Implementation Plan (SIP) modeling inventories of the southeastern U.S. We used retrieved satellite tropospheric NO2 columns from the Ozone Monitoring Instrument (OMI) together with NO2 columns from the Comprehensive Air Quality Model with Extensions (CAMx) to make top–down NOx emissions estimates using the mass balance method. Two different top–down NOx emissions estimates were developed using the KNMI DOMINO v2.0 and NASA SP2 retrievals of OMI NO2 columns. Differences in the top–down NOx emissions estimates made with these two operational products derived from the same OMI radiance data were sufficiently large that they could not be used to constrain the TCEQ NOx emissions in the southeast. The fact that the two available operational NO2 column retrievals give such different top–down NOx emissions results is important because these retrievals are increasingly being used to diagnose air quality problems and to inform efforts to solve them. These results reflect the fact that NO2 column retrievals are a blend of measurements and modeled data and should be used with caution in analyses that will inform policy development. This study illustrates both benefits and challenges of using satellite NO2 data for air quality management applications. Comparison with OMI NO2 columns pointed the way toward improvements in the CAMx simulation of the upper troposphere, but further refinement of both regional air quality models and the NO2 column retrievals is needed before the mass balance and other emission inversion methods can be used to successfully constrain NOx emission inventories used in U.S. regulatory modeling.
Highlights We used OMI and CAMx NO2 columns to estimate NOx emissions over the southeast U.S. NOx emissions estimates were developed using DOMINO v2.0 and NASA SP2 retrievals. The two top–down NOx estimates were quite different over the southeast U.S. These disparities were due to differences in the two NO2 retrievals. It was not possible to constrain the TCEQ's NOx inventory with these estimates.
Evaluating NOx emission inventories for regulatory air quality modeling using satellite and air quality model data
Kemball-Cook, Susan (author) / Yarwood, Greg (author) / Johnson, Jeremiah (author) / Dornblaser, Bright (author) / Estes, Mark (author)
Atmospheric Environment ; 117 ; 1-8
2015-07-02
8 pages
Article (Journal)
Electronic Resource
English
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