Articles | Volume 13, issue 5
https://doi.org/10.5194/amt-13-2523-2020
© Author(s) 2020. 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-13-2523-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 May 2020
Research article |
| 19 May 2020
| 19 May 2020
Assessment of NO2 observations during DISCOVER-AQ and KORUS-AQ field campaigns
Sungyeon Choi
CORRESPONDING AUTHOR
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Science Systems and Applications, Inc., Lanham, MD 20706, USA
Lok N. Lamsal
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Universities Space Research Association, Columbia, MD 21046, USA
Melanie Follette-Cook
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Goddard Earth Sciences Technology and Research, Morgan State University, Baltimore, MD 20251, USA
Joanna Joiner
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Nickolay A. Krotkov
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
William H. Swartz
Johns Hopkins University, Applied Physics Laboratory, Laurel, MD 20723, USA
Kenneth E. Pickering
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD 20742, USA
Christopher P. Loughner
NOAA Air Resources Laboratory, College Park, MD 20740, USA
Wyat Appel
Environmental Protection Agency, Research Triangle Park, NC 27709, USA
Gabriele Pfister
National Center for Atmospheric Research, Boulder, CO 80301, USA
Pablo E. Saide
Department of Atmospheric and Oceanic Sciences, and Institute of the Environment and Sustainability, University of California, Los Angeles, CA 90095, USA
Ronald C. Cohen
Department of Chemistry and Department of Earth and Planetary Science, University of California, Berkeley, CA 94720, USA
Andrew J. Weinheimer
National Center for Atmospheric Research, Boulder, CO 80301, USA
Jay R. Herman
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Joint Center for Earth Systems Technology, University of Maryland Baltimore County, Baltimore, MD 21250, USA
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- Ground-based validation of the Copernicus Sentinel-5P TROPOMI NO2 measurements with the NDACC ZSL-DOAS, MAX-DOAS and Pandonia global networks T. Verhoelst et al. https://doi.org/10.5194/amt-14-481-2021
- Enhancing long-term trend simulation of the global tropospheric hydroxyl (TOH) and its drivers from 2005 to 2019: a synergistic integration of model simulations and satellite observations A. Souri et al. https://doi.org/10.5194/acp-24-8677-2024
- Validation of tropospheric NO2 column measurements of GOME-2A and OMI using MAX-DOAS and direct sun network observations G. Pinardi et al. https://doi.org/10.5194/amt-13-6141-2020
- Comprehensive evaluations of diurnal NO2 measurements during DISCOVER-AQ 2011: effects of resolution-dependent representation of NOx emissions J. Li et al. https://doi.org/10.5194/acp-21-11133-2021
- Estimating monthly NO2, O3, and SO2 concentrations via an ensemble three-stage procedure with downscaled satellite remote sensing data and ground measurements C. Chen et al. https://doi.org/10.1016/j.jhazmat.2024.136392
- Highly resolved mapping of NO2 vertical column densities from GeoTASO measurements over a megacity and industrial area during the KORUS-AQ campaign G. Choo et al. https://doi.org/10.5194/amt-16-625-2023
- Feasibility of robust estimates of ozone production rates using a synergy of satellite observations, ground-based remote sensing, and models A. Souri et al. https://doi.org/10.5194/acp-25-2061-2025
- Maximizing the scientific application of Pandora column observations of HCHO and NO2 P. Rawat et al. https://doi.org/10.5194/amt-18-2899-2025
- Evaluation of GEMS NO2 Retrieval Algorithm Version 2.0 and 3.0 Using TROPOMI and Pandora Observations Y. Jung et al. https://doi.org/10.7780/kjrs.2025.41.5.8
- Synthesis of Satellite and Surface Measurements, Model Results, and FRAPPÉ Study Findings to Assess the Impacts of Oil and Gas Emissions Reductions on Maximum Ozone in the Denver Metro and Northern Front Range Region in Colorado P. Reddy https://doi.org/10.1029/2023EA002917
- Interpreting summertime hourly variation of NO2 columns with implications for geostationary satellite applications D. Chatterjee et al. https://doi.org/10.5194/acp-24-12687-2024
- Assessing sub-grid variability within satellite pixels over urban regions using airborne mapping spectrometer measurements W. Tang et al. https://doi.org/10.5194/amt-14-4639-2021
- Intimately tracking NO2 pollution over the New York City - Long Island Sound land-water continuum: An integration of shipboard, airborne, satellite observations, and models M. Tzortziou et al. https://doi.org/10.1016/j.scitotenv.2023.165144
- Technical note: Constraining the hydroxyl (OH) radical in the tropics with satellite observations of its drivers – first steps toward assessing the feasibility of a global observation strategy D. Anderson et al. https://doi.org/10.5194/acp-23-6319-2023
- Ozone Monitoring Instrument (OMI) Aura nitrogen dioxide standard product version 4.0 with improved surface and cloud treatments L. Lamsal et al. https://doi.org/10.5194/amt-14-455-2021
- Analysis of Tropospheric NO2 Observation Using Pandora and MAX-DOAS Instrument in Xianghe, North China C. Wang et al. https://doi.org/10.3390/rs17101695
- Neighborhood Emission Mapping Operation (NEMO): A 1-km anthropogenic emission dataset in the United States S. Ma & D. Tong https://doi.org/10.1038/s41597-022-01790-9
- Characterization of errors in satellite-based HCHO ∕ NO2 tropospheric column ratios with respect to chemistry, column-to-PBL translation, spatial representation, and retrieval uncertainties A. Souri et al. https://doi.org/10.5194/acp-23-1963-2023
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- Use of machine learning and principal component analysis to retrieve nitrogen dioxide (NO2) with hyperspectral imagers and reduce noise in spectral fitting J. Joiner et al. https://doi.org/10.5194/amt-16-481-2023
- Ozone formation sensitivity based on the secondary formaldehyde-to-nitrogen dioxide ratio (FNRsec) derived from ground-based remote sensing measurements and a chemical transport model N. Chi et al. https://doi.org/10.5194/acp-26-8275-2026
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