Articles | Volume 22, issue 16
https://doi.org/10.5194/acp-22-10875-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-10875-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evaluating NOx emissions and their effect on O3 production in Texas using TROPOMI NO2 and HCHO
Department of Environmental and Occupational Health, Milken Institute of Public Health, George Washington University, Washington, DC, USA
Monica Harkey
Nelson Institute Center for Sustainability and the Global Environment (SAGE), University of Wisconsin–Madison, Madison, WI, USA
Benjamin de Foy
Department of Earth and Atmospheric Sciences, Saint Louis University, St. Louis, MO, USA
Laura Judd
NASA Langley Research Center, Hampton, VA, USA
Jeremiah Johnson
Ramboll, Novato, CA, USA
Greg Yarwood
Ramboll, Novato, CA, USA
Tracey Holloway
Nelson Institute Center for Sustainability and the Global Environment (SAGE), University of Wisconsin–Madison, Madison, WI, USA
Department of Atmospheric and Oceanic Sciences, University of
Wisconsin–Madison, Madison, WI, USA
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- Quantifying NOx Emission Sources in Houston, Texas Using Remote Sensing Aircraft Measurements and Source Apportionment Regression Models D. Goldberg et al. 10.1021/acsestair.4c00097
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- Changing ozone sensitivity in Fujian Province, China, during 2012–2021: Importance of controlling VOC emissions N. Chen et al. 10.1016/j.envpol.2024.124757
- Nitrogen oxides emissions from selected cities in North America, Europe, and East Asia observed by the TROPOspheric Monitoring Instrument (TROPOMI) before and after the COVID-19 pandemic C. Lonsdale & K. Sun 10.5194/acp-23-8727-2023
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- Informing Near-Airport Satellite NO2 Retrievals Using Pandora Sky-Scanning Observations A. Mouat et al. 10.1021/acsestair.4c00158
- NO2 emissions from oil refineries in the Mississippi Delta M. Filonchyk & M. Peterson 10.1016/j.scitotenv.2023.165569
- Elucidating the mechanisms of rapid O3 increase in North China Plain during COVID-19 lockdown period R. Li et al. 10.1016/j.scitotenv.2023.167622
- Assessment of surface ozone production in Qinghai, China with satellite-constrained VOCs and NOx emissions W. Li et al. 10.1016/j.scitotenv.2023.166602
- Spatiotemporal Patterns of Air Pollutants over the Epidemic Course: A National Study in China K. Qin et al. 10.3390/rs16071298
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- Intraurban NO2 hotspot detection across multiple air quality products A. Montgomery et al. 10.1088/1748-9326/acf7d5
- Derivation of Emissions From Satellite‐Observed Column Amounts and Its Application to TROPOMI NO2 and CO Observations K. Sun 10.1029/2022GL101102
- Machine learning elucidates ubiquity of enhanced ozone air pollution in China linked to the spring festival effect B. Zhu et al. 10.1016/j.apr.2024.102127
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Latest update: 22 Nov 2024
Short summary
TROPOMI measurements offer a valuable means to validate emissions inventories and ozone formation regimes, with important limitations. Lightning NOx is important to account for in Texas and can contribute up to 24 % of the column NO2 in rural areas and 8 % in urban areas. Modeled NO2 in urban areas agrees with TROPOMI NO2 to within 20 % in most circumstances, with a small underestimate in Dallas (−13 %) and Houston (−20 %). Near Texas power plants, the satellite appears to underrepresent NO2.
TROPOMI measurements offer a valuable means to validate emissions inventories and ozone...
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