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.
Research article
| 
26 Aug 2022
Research article |
| 26 Aug 2022
| 26 Aug 2022
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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- Impacts of anthropogenic emissions and meteorology on spring ozone differences in San Antonio, Texas between 2017 and 2021 X. Liu et al. 10.1016/j.scitotenv.2023.169693
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- Evaluating the spatial patterns of U.S. urban NOx emissions using TROPOMI NO2 D. Goldberg et al. 10.1016/j.rse.2023.113917
- Analyzing nitrogen dioxide to nitrogen oxide scaling factors for data-driven satellite-based emission estimation methods: A case study of Matimba/Medupi power stations in South Africa J. Hakkarainen et al. 10.1016/j.apr.2024.102171
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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
- Estimating Hourly Nitrogen Oxide Emissions over East Asia from Geostationary Satellite Measurements T. Xu et al. 10.1021/acs.estlett.3c00467
- A Multivariate Geostatistical Framework to Assess the Spatio-Temporal Dynamics of Air Pollution and Land Surface Temperature in Bangladesh S. Rahaman et al. 10.1007/s41748-024-00418-9
- Preflight Evaluation of the Environmental Trace Gases Monitoring Instrument with Nadir and Limb Modes (EMI-NL) Based on Measurements of Standard NO2 Sample Gas T. Yang et al. 10.3390/rs14225886
- Implementation and evaluation of the automated model reduction (AMORE) version 1.1 isoprene oxidation mechanism in GEOS-Chem B. Yang et al. 10.1039/D3EA00121K
- Local scale air quality impacts in the Los Angeles Basin from increased port activity during 2021 supply chain disruptions T. Skipper et al. 10.1039/D3EA00166K
- Transient Emissions Forecasting of Off-Road Construction Machinery Based on Long Short-Term Memory Network T. Li et al. 10.3390/en17143373
- Elucidating the impacts of COVID-19 lockdown on air quality and ozone chemical characteristics in India B. Roozitalab et al. 10.1039/D2EA00023G
- Impact of Hurricane Ida on Nitrogen Oxide Emissions in Southwestern Louisiana Detected from Space T. Lee et al. 10.1021/acs.estlett.2c00414
27 citations as recorded by crossref.
- Identification of NO emissions and source characteristics by TROPOMI observations – A case study in north-central Henan, China H. Sheng et al. 10.1016/j.scitotenv.2024.172779
- A simplified non-linear chemistry transport model for analyzing NO2 column observations: STILT–NOx D. Wu et al. 10.5194/gmd-16-6161-2023
- 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
- Detecting nitrogen oxide emissions in Qatar and quantifying emission factors of gas-fired power plants – a 4-year study A. Rey-Pommier et al. 10.5194/acp-23-13565-2023
- A lightweight NO2-to-NOx conversion model for quantifying NOx emissions of point sources from NO2 satellite observations S. Meier et al. 10.5194/acp-24-7667-2024
- Impacts of anthropogenic emissions and meteorology on spring ozone differences in San Antonio, Texas between 2017 and 2021 X. Liu et al. 10.1016/j.scitotenv.2023.169693
- 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
- Evaluating the spatial patterns of U.S. urban NOx emissions using TROPOMI NO2 D. Goldberg et al. 10.1016/j.rse.2023.113917
- Analyzing nitrogen dioxide to nitrogen oxide scaling factors for data-driven satellite-based emission estimation methods: A case study of Matimba/Medupi power stations in South Africa J. Hakkarainen et al. 10.1016/j.apr.2024.102171
- An intercomparison of satellite, airborne, and ground-level observations with WRF–CAMx simulations of NO2 columns over Houston, Texas, during the September 2021 TRACER-AQ campaign M. Nawaz et al. 10.5194/acp-24-6719-2024
- 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
- Impacts of the Chengdu 2021 world university games on NO2 pollution: Implications for urban vehicle electrification promotion X. Zheng et al. 10.1016/j.scitotenv.2024.175073
- Machine-learning-based investigation of the variables affecting summertime lightning occurrence over the Southern Great Plains S. Shan et al. 10.5194/acp-23-14547-2023
- Model-free daily inversion of NOx emissions using TROPOMI (MCMFE-NOx) and its uncertainty: Declining regulated emissions and growth of new sources K. Qin et al. 10.1016/j.rse.2023.113720
- 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
- Estimating Hourly Nitrogen Oxide Emissions over East Asia from Geostationary Satellite Measurements T. Xu et al. 10.1021/acs.estlett.3c00467
- A Multivariate Geostatistical Framework to Assess the Spatio-Temporal Dynamics of Air Pollution and Land Surface Temperature in Bangladesh S. Rahaman et al. 10.1007/s41748-024-00418-9
- Preflight Evaluation of the Environmental Trace Gases Monitoring Instrument with Nadir and Limb Modes (EMI-NL) Based on Measurements of Standard NO2 Sample Gas T. Yang et al. 10.3390/rs14225886
- Implementation and evaluation of the automated model reduction (AMORE) version 1.1 isoprene oxidation mechanism in GEOS-Chem B. Yang et al. 10.1039/D3EA00121K
- Local scale air quality impacts in the Los Angeles Basin from increased port activity during 2021 supply chain disruptions T. Skipper et al. 10.1039/D3EA00166K
- Transient Emissions Forecasting of Off-Road Construction Machinery Based on Long Short-Term Memory Network T. Li et al. 10.3390/en17143373
2 citations as recorded by crossref.
Latest update: 03 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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