Articles | Volume 9, issue 3
https://doi.org/10.5194/gmd-9-1111-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-1111-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
22 Mar 2016
Development and technical paper |
| 22 Mar 2016
OMI NO2 column densities over North American urban cities: the effect of satellite footprint resolution
Air Resources Laboratory, National Oceanic and Atmospheric Administration, College Park, MD, USA
Cooperative Institute for Climate and Satellites, University of Maryland, College Park, MD, USA
Pius Lee
Air Resources Laboratory, National Oceanic and Atmospheric Administration, College Park, MD, USA
Laura Judd
Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX, USA
Air Resources Laboratory, National Oceanic and Atmospheric Administration, College Park, MD, USA
Cooperative Institute for Climate and Satellites, University of Maryland, College Park, MD, USA
Barry Lefer
Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX, USA
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Cited
37 citations as recorded by crossref.
- A Conservative Downscaling of Satellite-Detected Chemical Compositions: NO2 Column Densities of OMI, GOME-2, and CMAQ H. Kim et al. 10.3390/rs10071001
- Fine-Scale Columnar and Surface NOx Concentrations over South Korea: Comparison of Surface Monitors, TROPOMI, CMAQ and CAPSS Inventory H. Kim et al. 10.3390/atmos11010101
- A top-down assessment using OMI NO<sub>2</sub> suggests an underestimate in the NO<sub><i>x</i></sub> emissions inventory in Seoul, South Korea, during KORUS-AQ D. Goldberg et al. 10.5194/acp-19-1801-2019
- Global estimates of ambient reactive nitrogen components during 2000–2100 based on the multi-stage model R. Li et al. 10.5194/acp-24-7623-2024
- Spatiotemporal land use random forest model for estimating metropolitan NO2 exposure in Japan S. Araki et al. 10.1016/j.scitotenv.2018.03.324
- Influence of mixing height and atmospheric stability conditions on correlation of NO2 columns and surface concentrations in a Mexico‐United States border region D. Flores‐Jiménez et al. 10.1002/asl.1024
- Evaluating Sentinel-5P TROPOMI tropospheric NO<sub>2</sub> column densities with airborne and Pandora spectrometers near New York City and Long Island Sound L. Judd et al. 10.5194/amt-13-6113-2020
- Estimating daily surface NO<sub>2</sub> concentrations from satellite data – a case study over Hong Kong using land use regression models J. Anand & P. Monks 10.5194/acp-17-8211-2017
- Updating Chinese SO2 emissions with surface observations for regional air-quality modeling over East Asia C. Bae et al. 10.1016/j.atmosenv.2020.117416
- Surface ozone response to satellite-constrained NOx emission adjustments and its implications C. Bae et al. 10.1016/j.envpol.2019.113469
- Inverse modeling of SO<sub>2</sub> and NO<sub><i>x</i></sub> emissions over China using multisensor satellite data – Part 2: Downscaling techniques for air quality analysis and forecasts Y. Wang et al. 10.5194/acp-20-6651-2020
- Analysis of long-term (2005–2018) trends in tropospheric NO2 percentiles over Northeast Asia G. Choo et al. 10.1016/j.apr.2020.05.012
- Mechanistic representation of soil nitrogen emissions in the Community Multiscale Air Quality (CMAQ) model v 5.1 Q. Rasool et al. 10.5194/gmd-12-849-2019
- Evaluating current satellite capability to observe diurnal change in nitrogen oxides in preparation for geostationary satellite missions E. Penn & T. Holloway 10.1088/1748-9326/ab6b36
- Assessment of the TROPOMI tropospheric NO<sub>2</sub> product based on airborne APEX observations F. Tack et al. 10.5194/amt-14-615-2021
- A high-resolution and observationally constrained OMI NO<sub>2</sub> satellite retrieval D. Goldberg et al. 10.5194/acp-17-11403-2017
- Assessing sub-grid variability within satellite pixels over urban regions using airborne mapping spectrometer measurements W. Tang et al. 10.5194/amt-14-4639-2021
- Ozone Monitoring Instrument (OMI) Aura nitrogen dioxide standard product version 4.0 with improved surface and cloud treatments L. Lamsal et al. 10.5194/amt-14-455-2021
- Evaluating the impact of spatial resolution on tropospheric NO<sub>2</sub> column comparisons within urban areas using high-resolution airborne data L. Judd et al. 10.5194/amt-12-6091-2019
- Spatiotemporal inhomogeneity of total column NO2 in a polluted urban area inferred from TROPOMI and Pandora intercomparisons J. Park et al. 10.1080/15481603.2022.2026640
- Assessment of NO<sub>2</sub> observations during DISCOVER-AQ and KORUS-AQ field campaigns S. Choi et al. 10.5194/amt-13-2523-2020
- Sensitivity of total column NO2 at a marine site within the Chesapeake Bay during OWLETS-2 A. Kotsakis et al. 10.1016/j.atmosenv.2022.119063
- Review of Shandong Peninsular Emissions Change and South Korean Air Quality H. Kim et al. 10.5572/KOSAE.2018.34.2.356
- Role of emissions and meteorology in the recent PM2.5 changes in China and South Korea from 2015 to 2018 M. Bae et al. 10.1016/j.envpol.2020.116233
- Use of Satellite Data for Air Pollution Modeling in Bulgaria E. Georgieva et al. 10.3390/earth2030034
- Satellite-Based Estimates of Wet Ammonium (NH4-N) Deposition Fluxes Across China during 2011–2016 Using a Space–Time Ensemble Model R. Li et al. 10.1021/acs.est.0c03547
- Detection of Strong NOX Emissions from Fine-scale Reconstruction of the OMI Tropospheric NO2 Product J. Lee et al. 10.3390/rs11161861
- Communicating respiratory health risk among children using a global air quality index L. Gladson et al. 10.1016/j.envint.2021.107023
- Investigating the nitrogen dioxide concentrations in the boundary layer by using multi-axis spectroscopic measurements and comparison with satellite observations M. Khokhar et al. 10.1007/s11356-016-7907-3
- Development and Application of the Backward-tracking Model Analyzer to Track Physical and Chemical Processes of Air Parcels during the Transport M. Bae et al. 10.5572/KOSAE.2017.33.3.217
- A physics-based approach to oversample multi-satellite, multispecies observations to a common grid K. Sun et al. 10.5194/amt-11-6679-2018
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- Description of a formaldehyde retrieval algorithm for the Geostationary Environment Monitoring Spectrometer (GEMS) H. Kwon et al. 10.5194/amt-12-3551-2019
- An Ensemble Model-Based Estimation of Nitrogen Dioxide in a Southeastern Coastal Region of China S. He et al. 10.3390/rs14122807
- TROPOMI NO2 Tropospheric Column Data: Regridding to 1 km Grid-Resolution and Assessment of their Consistency with In Situ Surface Observations A. Cersosimo et al. 10.3390/rs12142212
- Validation of tropospheric NO<sub>2</sub> column measurements of GOME-2A and OMI using MAX-DOAS and direct sun network observations G. Pinardi et al. 10.5194/amt-13-6141-2020
37 citations as recorded by crossref.
- A Conservative Downscaling of Satellite-Detected Chemical Compositions: NO2 Column Densities of OMI, GOME-2, and CMAQ H. Kim et al. 10.3390/rs10071001
- Fine-Scale Columnar and Surface NOx Concentrations over South Korea: Comparison of Surface Monitors, TROPOMI, CMAQ and CAPSS Inventory H. Kim et al. 10.3390/atmos11010101
- A top-down assessment using OMI NO<sub>2</sub> suggests an underestimate in the NO<sub><i>x</i></sub> emissions inventory in Seoul, South Korea, during KORUS-AQ D. Goldberg et al. 10.5194/acp-19-1801-2019
- Global estimates of ambient reactive nitrogen components during 2000–2100 based on the multi-stage model R. Li et al. 10.5194/acp-24-7623-2024
- Spatiotemporal land use random forest model for estimating metropolitan NO2 exposure in Japan S. Araki et al. 10.1016/j.scitotenv.2018.03.324
- Influence of mixing height and atmospheric stability conditions on correlation of NO2 columns and surface concentrations in a Mexico‐United States border region D. Flores‐Jiménez et al. 10.1002/asl.1024
- Evaluating Sentinel-5P TROPOMI tropospheric NO<sub>2</sub> column densities with airborne and Pandora spectrometers near New York City and Long Island Sound L. Judd et al. 10.5194/amt-13-6113-2020
- Estimating daily surface NO<sub>2</sub> concentrations from satellite data – a case study over Hong Kong using land use regression models J. Anand & P. Monks 10.5194/acp-17-8211-2017
- Updating Chinese SO2 emissions with surface observations for regional air-quality modeling over East Asia C. Bae et al. 10.1016/j.atmosenv.2020.117416
- Surface ozone response to satellite-constrained NOx emission adjustments and its implications C. Bae et al. 10.1016/j.envpol.2019.113469
- Inverse modeling of SO<sub>2</sub> and NO<sub><i>x</i></sub> emissions over China using multisensor satellite data – Part 2: Downscaling techniques for air quality analysis and forecasts Y. Wang et al. 10.5194/acp-20-6651-2020
- Analysis of long-term (2005–2018) trends in tropospheric NO2 percentiles over Northeast Asia G. Choo et al. 10.1016/j.apr.2020.05.012
- Mechanistic representation of soil nitrogen emissions in the Community Multiscale Air Quality (CMAQ) model v 5.1 Q. Rasool et al. 10.5194/gmd-12-849-2019
- Evaluating current satellite capability to observe diurnal change in nitrogen oxides in preparation for geostationary satellite missions E. Penn & T. Holloway 10.1088/1748-9326/ab6b36
- Assessment of the TROPOMI tropospheric NO<sub>2</sub> product based on airborne APEX observations F. Tack et al. 10.5194/amt-14-615-2021
- A high-resolution and observationally constrained OMI NO<sub>2</sub> satellite retrieval D. Goldberg et al. 10.5194/acp-17-11403-2017
- Assessing sub-grid variability within satellite pixels over urban regions using airborne mapping spectrometer measurements W. Tang et al. 10.5194/amt-14-4639-2021
- Ozone Monitoring Instrument (OMI) Aura nitrogen dioxide standard product version 4.0 with improved surface and cloud treatments L. Lamsal et al. 10.5194/amt-14-455-2021
- Evaluating the impact of spatial resolution on tropospheric NO<sub>2</sub> column comparisons within urban areas using high-resolution airborne data L. Judd et al. 10.5194/amt-12-6091-2019
- Spatiotemporal inhomogeneity of total column NO2 in a polluted urban area inferred from TROPOMI and Pandora intercomparisons J. Park et al. 10.1080/15481603.2022.2026640
- Assessment of NO<sub>2</sub> observations during DISCOVER-AQ and KORUS-AQ field campaigns S. Choi et al. 10.5194/amt-13-2523-2020
- Sensitivity of total column NO2 at a marine site within the Chesapeake Bay during OWLETS-2 A. Kotsakis et al. 10.1016/j.atmosenv.2022.119063
- Review of Shandong Peninsular Emissions Change and South Korean Air Quality H. Kim et al. 10.5572/KOSAE.2018.34.2.356
- Role of emissions and meteorology in the recent PM2.5 changes in China and South Korea from 2015 to 2018 M. Bae et al. 10.1016/j.envpol.2020.116233
- Use of Satellite Data for Air Pollution Modeling in Bulgaria E. Georgieva et al. 10.3390/earth2030034
- Satellite-Based Estimates of Wet Ammonium (NH4-N) Deposition Fluxes Across China during 2011–2016 Using a Space–Time Ensemble Model R. Li et al. 10.1021/acs.est.0c03547
- Detection of Strong NOX Emissions from Fine-scale Reconstruction of the OMI Tropospheric NO2 Product J. Lee et al. 10.3390/rs11161861
- Communicating respiratory health risk among children using a global air quality index L. Gladson et al. 10.1016/j.envint.2021.107023
- Investigating the nitrogen dioxide concentrations in the boundary layer by using multi-axis spectroscopic measurements and comparison with satellite observations M. Khokhar et al. 10.1007/s11356-016-7907-3
- Development and Application of the Backward-tracking Model Analyzer to Track Physical and Chemical Processes of Air Parcels during the Transport M. Bae et al. 10.5572/KOSAE.2017.33.3.217
- A physics-based approach to oversample multi-satellite, multispecies observations to a common grid K. Sun et al. 10.5194/amt-11-6679-2018
- Space-Borne Monitoring of NOx Emissions from Cement Kilns in South Korea H. Kim et al. 10.3390/atmos11080881
- Quantitative assessment of changes in surface particulate matter concentrations and precursor emissions over China during the COVID-19 pandemic and their implications for Chinese economic activity H. Kim et al. 10.5194/acp-21-10065-2021
- Description of a formaldehyde retrieval algorithm for the Geostationary Environment Monitoring Spectrometer (GEMS) H. Kwon et al. 10.5194/amt-12-3551-2019
- An Ensemble Model-Based Estimation of Nitrogen Dioxide in a Southeastern Coastal Region of China S. He et al. 10.3390/rs14122807
- TROPOMI NO2 Tropospheric Column Data: Regridding to 1 km Grid-Resolution and Assessment of their Consistency with In Situ Surface Observations A. Cersosimo et al. 10.3390/rs12142212
- Validation of tropospheric NO<sub>2</sub> column measurements of GOME-2A and OMI using MAX-DOAS and direct sun network observations G. Pinardi et al. 10.5194/amt-13-6141-2020
Saved (final revised paper)
Latest update: 21 Nov 2024
Short summary
Fair comparison between satellite- and modeled urban NO2 column densities is important in emission inventory evaluation and regulation policy making. This study focuses on the impact of satellite footprint resolution geometry. Since OMI NO2 pixels are too coarse to resolve fine-scale urban plumes, it may cause 20–30 % bias over major cities. We introduce approaches to adjust spatial and vertical structure (downscaling & averaging kernel), and demonstrate improved agreement between sat. and model.
Fair comparison between satellite- and modeled urban NO2 column densities is important in...
