Articles | Volume 24, issue 18
https://doi.org/10.5194/acp-24-10363-2024
© Author(s) 2024. 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-24-10363-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Sep 2024
Research article |
| 18 Sep 2024
| 18 Sep 2024
Insights into the long-term (2005–2021) spatiotemporal evolution of summer ozone production sensitivity in the Northern Hemisphere derived with the Ozone Monitoring Instrument (OMI)
Matthew S. Johnson
CORRESPONDING AUTHOR
Earth Science Division, NASA Ames Research Center, Moffett Field, CA 94035, USA
Sajeev Philip
Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, New Delhi, India
Scott Meech
Research Applications Laboratory, NSF National Center for Atmospheric Research, Boulder, CO 80305, USA
Rajesh Kumar
Research Applications Laboratory, NSF National Center for Atmospheric Research, Boulder, CO 80305, USA
Meytar Sorek-Hamer
NASA Academic Mission Services by Universities Space Research Association at NASA Ames Research Center, Mountain View, CA 94041, USA
Yoichi P. Shiga
NASA Academic Mission Services by Universities Space Research Association at NASA Ames Research Center, Mountain View, CA 94041, USA
Jia Jung
Earth Science Division, NASA Ames Research Center, Moffett Field, CA 94035, USA
Bay Area Environmental Research Institute, Moffett Field, CA 94035, USA
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Cited
13 citations as recorded by crossref.
- Beyond binary maps from HCHO∕NO2: a deep neural network approach to global daily mapping of net ozone production rates and sensitivities constrained by satellite observations (2005–2023) A. Souri et al. https://doi.org/10.5194/acp-26-809-2026
- Quantifying transport contributions and diagnosing ozone formation sensitivity: An integrated approach using machine learning with high-resolution gridded data and backward trajectories B. Hu et al. https://doi.org/10.1016/j.jclepro.2026.147524
- Daily seamless dataset of HCHO concentrations: Vertical relationship between surface and column HCHO in China in 2019–2022 M. Wang et al. https://doi.org/10.1016/j.atmosenv.2025.121546
- The impact of atmospheric pollutants on thermal conditions in Riyadh, saudi arabia based on google earth engine and geographically weighted regression model (GWR) S. Aljarbouai et al. https://doi.org/10.1007/s41062-026-02650-w
- Regional-specific trends of PM2.5 and O3 temperature sensitivity in the United States L. Yin et al. https://doi.org/10.1038/s41612-024-00862-4
- Compound heat and ozone pollution in the urban environment C. Wang et al. https://doi.org/10.1016/j.uclim.2025.102511
- Long-term ozone formation sensitivity in China: spatiotemporal evolution and machine learning attribution J. Lin et al. https://doi.org/10.5194/acp-26-7081-2026
- Anthropogenic emissions dominate long-term trends of ozone production sensitivity in southeastern China derived from the ozone monitoring instrument B. Hu et al. https://doi.org/10.1016/j.jhazmat.2025.140028
- Assessing Ambient Formaldehyde Exposure and Estimating Cancer Risks over India using the Ozone Monitoring Instrument Satellite Sensor D. Gautam et al. https://doi.org/10.1021/acsestair.4c00188
- Directed causal coupling between urban heat and air pollution in U.S. cities X. Yang et al. https://doi.org/10.1088/1748-9326/ae53fd
- An improved Bayesian inversion to estimate daily NOx emissions of Paris from TROPOMI NO2 observations between 2018–2023 A. Mols et al. https://doi.org/10.5194/acp-26-1497-2026
- Evaluating Ground-Level Ozone Formation Sensitivity on the Eastern Coast of Australia via Analysis of Long-Term In Situ Observation Data Y. Xiao et al. https://doi.org/10.1021/acs.est.5c10153
- Influence of nitrogen oxides and volatile organic compounds emission changes on tropospheric ozone variability, trends and radiative effect S. Fadnavis et al. https://doi.org/10.5194/acp-25-8229-2025
13 citations as recorded by crossref.
- Beyond binary maps from HCHO∕NO2: a deep neural network approach to global daily mapping of net ozone production rates and sensitivities constrained by satellite observations (2005–2023) A. Souri et al. https://doi.org/10.5194/acp-26-809-2026
- Quantifying transport contributions and diagnosing ozone formation sensitivity: An integrated approach using machine learning with high-resolution gridded data and backward trajectories B. Hu et al. https://doi.org/10.1016/j.jclepro.2026.147524
- Daily seamless dataset of HCHO concentrations: Vertical relationship between surface and column HCHO in China in 2019–2022 M. Wang et al. https://doi.org/10.1016/j.atmosenv.2025.121546
- The impact of atmospheric pollutants on thermal conditions in Riyadh, saudi arabia based on google earth engine and geographically weighted regression model (GWR) S. Aljarbouai et al. https://doi.org/10.1007/s41062-026-02650-w
- Regional-specific trends of PM2.5 and O3 temperature sensitivity in the United States L. Yin et al. https://doi.org/10.1038/s41612-024-00862-4
- Compound heat and ozone pollution in the urban environment C. Wang et al. https://doi.org/10.1016/j.uclim.2025.102511
- Long-term ozone formation sensitivity in China: spatiotemporal evolution and machine learning attribution J. Lin et al. https://doi.org/10.5194/acp-26-7081-2026
- Anthropogenic emissions dominate long-term trends of ozone production sensitivity in southeastern China derived from the ozone monitoring instrument B. Hu et al. https://doi.org/10.1016/j.jhazmat.2025.140028
- Assessing Ambient Formaldehyde Exposure and Estimating Cancer Risks over India using the Ozone Monitoring Instrument Satellite Sensor D. Gautam et al. https://doi.org/10.1021/acsestair.4c00188
- Directed causal coupling between urban heat and air pollution in U.S. cities X. Yang et al. https://doi.org/10.1088/1748-9326/ae53fd
- An improved Bayesian inversion to estimate daily NOx emissions of Paris from TROPOMI NO2 observations between 2018–2023 A. Mols et al. https://doi.org/10.5194/acp-26-1497-2026
- Evaluating Ground-Level Ozone Formation Sensitivity on the Eastern Coast of Australia via Analysis of Long-Term In Situ Observation Data Y. Xiao et al. https://doi.org/10.1021/acs.est.5c10153
- Influence of nitrogen oxides and volatile organic compounds emission changes on tropospheric ozone variability, trends and radiative effect S. Fadnavis et al. https://doi.org/10.5194/acp-25-8229-2025
Saved (final revised paper)
Latest update: 09 Jun 2026
Short summary
Satellites, like the Ozone Monitoring Instrument (OMI), retrieve proxy species of ozone (O3) formation (formaldehyde and nitrogen dioxide) and the ratios (FNRs) which can define O3 production sensitivity regimes. Here we investigate trends of OMI FNRs from 2005 to 2021, and they have increased in major cities, suggesting a transition from radical- to NOx-limited regimes. OMI also observed the impact of reduced emissions during the 2020 COVID-19 lockdown that resulted in increased FNRs.
Satellites, like the Ozone Monitoring Instrument (OMI), retrieve proxy species of ozone (O3)...
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