Articles | Volume 19, issue 24
https://doi.org/10.5194/acp-19-15339-2019
© Author(s) 2019. 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-19-15339-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Inferring the anthropogenic NOx emission trend over the United States during 2003–2017 from satellite observations: was there a flattening of the emission trend after the Great Recession?
Jianfeng Li
School of Earth and Atmospheric Sciences, Georgia Institute of
Technology, Atlanta, GA, USA
now at: Pacific Northwest National Laboratory, Richland, WA, USA
School of Earth and Atmospheric Sciences, Georgia Institute of
Technology, Atlanta, GA, USA
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Cited
16 citations as recorded by crossref.
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- Spatiotemporal changes in global nitrogen dioxide emission due to COVID-19 mitigation policies Q. Liu et al. 10.1016/j.scitotenv.2021.146027
- Decadal Variabilities in Tropospheric Nitrogen Oxides Over United States, Europe, and China Z. Jiang et al. 10.1029/2021JD035872
- Remote Sensing Measurements at a Rural Site in China: Implications for Satellite NO2 and HCHO Measurement Uncertainty and Emissions From Fires K. Chong et al. 10.1029/2023JD039310
- Summertime Clean-Background Ozone Concentrations Derived from Ozone Precursor Relationships are Lower than Previous Estimates in the Southeast United States Q. Yan et al. 10.1021/acs.est.1c03035
- Tropospheric NO2 Pollution Monitoring with the GF-5 Satellite Environmental Trace Gases Monitoring Instrument over the North China Plain during Winter 2018–2019 D. Yang et al. 10.3390/atmos12030398
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- Analysis of the Anthropogenic and Biogenic NOx Emissions Over 2008–2017: Assessment of the Trends in the 30 Most Populated Urban Areas in Europe A. Fortems‐Cheiney et al. 10.1029/2020GL092206
- Inverse modelling of Chinese NOx emissions using deep learning: integrating in situ observations with a satellite-based chemical reanalysis T. He et al. 10.5194/acp-22-14059-2022
- Changes in the ozone chemical regime over the contiguous United States inferred by the inversion of NOx and VOC emissions using satellite observation J. Jung et al. 10.1016/j.atmosres.2022.106076
- Large-scale and rapid perception of regional economic resilience from data-driven insights T. Cheng et al. 10.1080/17538947.2024.2365971
- Dynamics-based estimates of decline trend with fine temporal variations in China's PM2.5 emissions Z. Peng et al. 10.5194/acp-23-14505-2023
- Satellite evidence for changes in the NO2 weekly cycle over large cities T. Stavrakou et al. 10.1038/s41598-020-66891-0
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15 citations as recorded by crossref.
- Large discrepancy between observed and modeled wintertime tropospheric NO2 variabilities due to COVID-19 controls in China J. Chen et al. 10.1088/1748-9326/ac4ec0
- Variational regional inverse modeling of reactive species emissions with PYVAR-CHIMERE-v2019 A. Fortems-Cheiney et al. 10.5194/gmd-14-2939-2021
- Deep Learning to Evaluate US NOx Emissions Using Surface Ozone Predictions T. He et al. 10.1029/2021JD035597
- Spatiotemporal changes in global nitrogen dioxide emission due to COVID-19 mitigation policies Q. Liu et al. 10.1016/j.scitotenv.2021.146027
- Decadal Variabilities in Tropospheric Nitrogen Oxides Over United States, Europe, and China Z. Jiang et al. 10.1029/2021JD035872
- Remote Sensing Measurements at a Rural Site in China: Implications for Satellite NO2 and HCHO Measurement Uncertainty and Emissions From Fires K. Chong et al. 10.1029/2023JD039310
- Summertime Clean-Background Ozone Concentrations Derived from Ozone Precursor Relationships are Lower than Previous Estimates in the Southeast United States Q. Yan et al. 10.1021/acs.est.1c03035
- Tropospheric NO2 Pollution Monitoring with the GF-5 Satellite Environmental Trace Gases Monitoring Instrument over the North China Plain during Winter 2018–2019 D. Yang et al. 10.3390/atmos12030398
- Inferring and evaluating satellite-based constraints on NOx emissions estimates in air quality simulations J. East et al. 10.5194/acp-22-15981-2022
- Analysis of the Anthropogenic and Biogenic NOx Emissions Over 2008–2017: Assessment of the Trends in the 30 Most Populated Urban Areas in Europe A. Fortems‐Cheiney et al. 10.1029/2020GL092206
- Inverse modelling of Chinese NOx emissions using deep learning: integrating in situ observations with a satellite-based chemical reanalysis T. He et al. 10.5194/acp-22-14059-2022
- Changes in the ozone chemical regime over the contiguous United States inferred by the inversion of NOx and VOC emissions using satellite observation J. Jung et al. 10.1016/j.atmosres.2022.106076
- Large-scale and rapid perception of regional economic resilience from data-driven insights T. Cheng et al. 10.1080/17538947.2024.2365971
- Dynamics-based estimates of decline trend with fine temporal variations in China's PM2.5 emissions Z. Peng et al. 10.5194/acp-23-14505-2023
- Satellite evidence for changes in the NO2 weekly cycle over large cities T. Stavrakou et al. 10.1038/s41598-020-66891-0
Latest update: 20 Nov 2024
Short summary
NO2 tropospheric vertical columns (TVCDs) and surface concentrations are widely used proxies for NOx emission variations. Through model and observation analyses, we find that satellite NO2 TVCDs provide much better information on anthropogenic NOx emission variations over urban than rural regions. NO2 surface observations, satellite column datasets, and EPA anthropogenic NOx emissions show consistent annual variations over urban regions of the United States with a continuous decrease after 2011.
NO2 tropospheric vertical columns (TVCDs) and surface concentrations are widely used proxies for...
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