Articles | Volume 11, issue 7
https://doi.org/10.5194/amt-11-3955-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-3955-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Jul 2018
Research article |
| 06 Jul 2018
| 06 Jul 2018
Comparing OMI-based and EPA AQS in situ NO2 trends: towards understanding surface NOx emission changes
Ruixiong Zhang
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA
Charles Smeltzer
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA
Hang Qu
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA
William Koshak
NASA-Marshall Space Flight Center, National Space Science & Technology Center, 320 Sparkman Drive, Huntsville, Alabama, USA
K. Folkert Boersma
Meteorology and Air Quality Group, Wageningen University, Wageningen, the Netherlands
Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
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- Impact of urbanization on air quality in the Yangtze River Delta during the COVID-19 lockdown in China L. Shen et al. 10.1016/j.jclepro.2021.126561
- How Does COVID-19 Lockdown Impact Air Quality in India? Z. Hu et al. 10.3390/rs14081869
- Trends in urban air pollution over the last two decades: A global perspective P. Sicard et al. 10.1016/j.scitotenv.2022.160064
- 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
- Toxicity Impact Assessment of Nitrogen Oxide and Sulfur Dioxide Emissions in China’s Textile Industry With Chemical Footprint Method Y. Guo et al. 10.1177/24723444231161744
- Toward Better and Healthier Air Quality: Global PM2.5 and O3 Pollution Status and Risk Assessment Based on the New WHO Air Quality Guidelines for 2021 J. Liu et al. 10.1002/gch2.202300258
- Global, regional and city scale changes in atmospheric NO₂ with environmental laws and policies S. Amritha et al. 10.1016/j.scs.2024.105617
- Trend reversal from source region to remote tropospheric NO2 columns X. Cai et al. 10.1007/s11356-021-16857-0
- Global-Scale Patterns and Trends in Tropospheric NO2 Concentrations, 2005–2018 S. Jamali et al. 10.3390/rs12213526
- Temporal Analysis of OMI-Observed Tropospheric NO2 Columns over East Asia during 2006–2015 K. Han 10.3390/atmos10110658
- Urban NO x emissions around the world declined faster than anticipated between 2005 and 2019 D. Goldberg et al. 10.1088/1748-9326/ac2c34
- Dependence of Summertime Surface Ozone on NOx and VOC Emissions Over the United States: Peak Time and Value J. Li et al. 10.1029/2018GL081823
- Long-term trends in urban NO2 concentrations and associated paediatric asthma incidence: estimates from global datasets S. Anenberg et al. 10.1016/S2542-5196(21)00255-2
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- Disentangling the Impact of the COVID‐19 Lockdowns on Urban NO2 From Natural Variability D. Goldberg et al. 10.1029/2020GL089269
- Impact of COVID-19 restrictions liberalization on air quality: a case study of Chongqing, Southwest China H. Wang et al. 10.1007/s10661-024-13213-w
- Tracking NO2 Pollution Changes Over Texas: Synthesis of In Situ and Satellite Observations M. Gyawali et al. 10.1029/2022JD037473
- Extending Ozone‐Precursor Relationships in China From Peak Concentration to Peak Time H. Qu et al. 10.1029/2020JD033670
- Chemical Production of Oxygenated Volatile Organic Compounds Strongly Enhances Boundary-Layer Oxidation Chemistry and Ozone Production H. Qu et al. 10.1021/acs.est.1c04489
- Measuring and Monitoring Urban Impacts on Climate Change from Space C. Milesi & G. Churkina 10.3390/rs12213494
- The 2020 Italian Spring Lockdown: A Multidisciplinary Analysis over the Milan Urban Area M. Migliaccio et al. 10.3390/world2030025
- The Effects of COVID-19 Lockdown on Air Pollutant Concentrations across China: A Google Earth Engine-Based Analysis S. Wang et al. 10.3390/ijerph192417056
- Impact of COVID-19 Lockdown on Air Pollutants in a Coastal Area of the Yangtze River Delta, China, Measured by a Low-Cost Sensor Package L. Chen et al. 10.3390/atmos12030345
- Combing GOME-2B and OMI Satellite Data to Estimate Near-Surface NO2 of Mainland China D. Li et al. 10.1109/JSTARS.2021.3117396
- LNOx Emission Model for Air Quality and Climate Studies Using Satellite Lightning Mapper Observations Y. Wu et al. 10.1029/2022JD037406
- Impacts of reduced deposition of atmospheric nitrogen on coastal marine eco-system during substantial shift in human activities in the twenty-first century F. Mumtaz et al. 10.1080/19475705.2021.1949396
- Evidence of heterogeneous HONO formation from aerosols and the regional photochemical impact of this HONO source X. Lu et al. 10.1088/1748-9326/aae492
- Assessment of satellite-estimated near-surface sulfate and nitrate concentrations and their precursor emissions over China from 2006 to 2014 Y. Si et al. 10.1016/j.scitotenv.2019.02.180
- NOx Emission Reduction and Recovery during COVID-19 in East China R. Zhang et al. 10.3390/atmos11040433
- Implementing and Improving CBMZ-MAM3 Chemistry and Aerosol Modules in the Regional Climate Model WRF-CAM5: An Evaluation over the Western US and Eastern North Pacific X. Wu et al. 10.3390/atmos14071122
- Comprehensive evaluations of diurnal NO<sub>2</sub> measurements during DISCOVER-AQ 2011: effects of resolution-dependent representation of NO<sub><i>x</i></sub> emissions J. Li et al. 10.5194/acp-21-11133-2021
- Using land use variable information and a random forest approach to correct spatial mean bias in fused CMAQ fields for particulate and gas species N. Senthilkumar et al. 10.1016/j.atmosenv.2022.118982
- Decadal Variabilities in Tropospheric Nitrogen Oxides Over United States, Europe, and China Z. Jiang et al. 10.1029/2021JD035872
Latest update: 21 Nov 2024
Short summary
This study focuses on how to improve OMI NO2 retrievals for trend analysis. We retrieve OMI tropospheric NO2 vertical column densities (VCDs) and obtain the NO2 seasonal trends over the United States, which are compared with coincident in situ surface NO2 measurements from the Air Quality System network. We find that three procedures are essential in comparing both datasets, including the ocean trend removal, the albedo update, and the lightning filter.
This study focuses on how to improve OMI NO2 retrievals for trend analysis. We retrieve OMI...
