Articles | Volume 14, issue 1
https://doi.org/10.5194/amt-14-455-2021
© Author(s) 2021. 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-14-455-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Ozone Monitoring Instrument (OMI) Aura nitrogen dioxide standard product version 4.0 with improved surface and cloud treatments
Lok N. Lamsal
CORRESPONDING AUTHOR
Goddard Earth Sciences Technology & Research, Universities Space
Research Association, Greenbelt, MD 20771, USA
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD 20771, USA
Nickolay A. Krotkov
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD 20771, USA
Alexander Vasilkov
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD 20771, USA
Science Systems and Applications, Lanham, MD 20706, USA
Sergey Marchenko
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD 20771, USA
Science Systems and Applications, Lanham, MD 20706, USA
Wenhan Qin
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD 20771, USA
Science Systems and Applications, Lanham, MD 20706, USA
Eun-Su Yang
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD 20771, USA
Science Systems and Applications, Lanham, MD 20706, USA
Zachary Fasnacht
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD 20771, USA
Science Systems and Applications, Lanham, MD 20706, USA
Joanna Joiner
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD 20771, USA
Sungyeon Choi
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD 20771, USA
Science Systems and Applications, Lanham, MD 20706, USA
David Haffner
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD 20771, USA
Science Systems and Applications, Lanham, MD 20706, USA
William H. Swartz
Applied Physics Laboratory, Johns Hopkins University, Laurel, MD
20723, USA
Bradford Fisher
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD 20771, USA
Science Systems and Applications, Lanham, MD 20706, USA
Eric Bucsela
SRI International, Menlo Park, CA 94025, USA
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- Comprehensive Evaluation of Spatial Distribution and Temporal Trend of NO2, SO2 and AOD Using Satellite Observations over South and East Asia from 2011 to 2021 M. Rahman et al. 10.3390/rs15205069
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- A satellite-data-driven framework to rapidly quantify air-basin-scale NO<sub><i>x</i></sub> emissions and its application to the Po Valley during the COVID-19 pandemic K. Sun et al. 10.5194/acp-21-13311-2021
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87 citations as recorded by crossref.
- Estimation of Surface-Level NO2 Using Satellite Remote Sensing and Machine Learning: A review M. Siddique et al. 10.1109/MGRS.2024.3398434
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- Spatial and temporal variability in the hydroxyl (OH) radical: understanding the role of large-scale climate features and their influence on OH through its dynamical and photochemical drivers D. Anderson et al. 10.5194/acp-21-6481-2021
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- Satellite observations for monitoring atmospheric NO2 in correlation with the existing pollution sources under arid environment D. Salama et al. 10.1007/s40808-022-01352-3
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- Investigating the impacts of satellite fire observation accuracy on the top-down nitrogen oxides emission estimation in northeastern Asia Y. Fu et al. 10.1016/j.envint.2022.107498
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- Changing ozone sensitivity in the South Coast Air Basin during the COVID-19 period J. Schroeder et al. 10.5194/acp-22-12985-2022
- Spatio-temporal patterns of tropospheric NO2 over India during 2005–2019 N. Singh et al. 10.1016/j.apr.2023.101692
- COVID‐19 New Cases and Environmental Factors During Wet and Dry Seasons in West and Southern Africa G. Jenkins et al. 10.1029/2022GH000765
- Estimating 2013–2019 NO2 exposure with high spatiotemporal resolution in China using an ensemble model C. Huang et al. 10.1016/j.envpol.2021.118285
- Effects of the COVID-19 lockdown and recovery on People's mobility and air quality in the United Arab Emirates using satellite and ground observations A. Shanableh et al. 10.1016/j.rsase.2022.100757
- First estimation of hourly full-coverage ground-level ozone from Fengyun-4A satellite using machine learning L. Gao et al. 10.1088/1748-9326/ad2022
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- 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. 10.5194/acp-23-6319-2023
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- Spatiotemporal variations of atmospheric nitrogen deposition in China during 2008–2020 S. Chen et al. 10.1016/j.atmosenv.2023.120120
- Global fine-scale changes in ambient NO2 during COVID-19 lockdowns M. Cooper et al. 10.1038/s41586-021-04229-0
- Assessing the impact of urban form and urbanization process on tropospheric nitrogen dioxide pollution in the Yangtze River Delta, China Y. Gao et al. 10.1016/j.envpol.2023.122436
- NASA Satellite Measurements Show Global‐Scale Reductions in Free Tropospheric Ozone in 2020 and Again in 2021 During COVID‐19 J. Ziemke et al. 10.1029/2022GL098712
- Estimation of daily NO2 with explainable machine learning model in China, 2007–2020 Y. Shao et al. 10.1016/j.atmosenv.2023.120111
- US COVID‐19 Shutdown Demonstrates Importance of Background NO2 in Inferring NOx Emissions From Satellite NO2 Observations Z. Qu et al. 10.1029/2021GL092783
- Revised estimates of NO2 reductions during the COVID-19 lockdowns using updated TROPOMI NO2 retrievals and model simulations B. Fisher et al. 10.1016/j.atmosenv.2024.120459
- Monitoring fossil fuel CO2 emissions from co-emitted NO2 observed from space: progress, challenges, and future perspectives H. Li et al. 10.1007/s11783-025-1922-x
- Nitrogen oxides in the free troposphere: implications for tropospheric oxidants and the interpretation of satellite NO2 measurements V. Shah et al. 10.5194/acp-23-1227-2023
- 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. 10.5194/acp-24-8677-2024
- Interannual variation of reactive nitrogen emissions and their impacts on PM2.5 air pollution in China during 2005–2015 Y. Chen et al. 10.1088/1748-9326/ac3695
- Peculiar COVID-19 effects in the Greater Tokyo Area revealed by spatiotemporal variabilities of tropospheric gases and light-absorbing aerosols A. Damiani et al. 10.5194/acp-22-12705-2022
- National, satellite-based land-use regression models for estimating long-term annual NO2 exposure across India N. Singh et al. 10.1016/j.aeaoa.2024.100289
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Discussed (final revised paper)
Latest update: 23 Nov 2024
Short summary
The NASA standard nitrogen dioxide (NO2) version 4.0 product for OMI Aura incorporates the most salient improvements. It represents the first global satellite trace gas retrieval with OMI–MODIS synergy accounting for surface reflectance anisotropy in cloud and NO2 retrievals. Improved spectral fitting procedures for NO2 and oxygen dimer (for cloud) retrievals and reliance on high-resolution field-of-view-specific input information for NO2 and cloud retrievals help enhance the NO2 data quality.
The NASA standard nitrogen dioxide (NO2) version 4.0 product for OMI Aura incorporates the most...