Articles | Volume 25, issue 4
https://doi.org/10.5194/acp-25-2061-2025
© Author(s) 2025. 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-25-2061-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Feasibility of robust estimates of ozone production rates using a synergy of satellite observations, ground-based remote sensing, and models
Amir H. Souri
CORRESPONDING AUTHOR
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
GESTAR II, Morgan State University, Baltimore, Maryland, USA
Gonzalo González Abad
Atomic and Molecular Physics (AMP), Center for Astrophysics, Harvard & Smithsonian, Cambridge, Massachusetts, USA
Glenn M. Wolfe
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Tijl Verhoelst
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Ringlaan 3, 1180 Brussels, Belgium
Corinne Vigouroux
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Ringlaan 3, 1180 Brussels, Belgium
Gaia Pinardi
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Ringlaan 3, 1180 Brussels, Belgium
Steven Compernolle
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Ringlaan 3, 1180 Brussels, Belgium
Bavo Langerock
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Ringlaan 3, 1180 Brussels, Belgium
Bryan N. Duncan
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Matthew S. Johnson
Earth Science Division, NASA Ames Research Center, Moffett Field, California, USA
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Cited
10 citations as recorded by crossref.
- Satellite data to support air quality assessment and management T. Holloway et al. https://doi.org/10.1080/10962247.2025.2484153
- Abundance of volatile organic compounds and their role in ozone pollution management: evidence from multi-platform observations and model representation during the 2021–2022 field campaign in Hong Kong X. Liu et al. https://doi.org/10.5194/acp-25-17629-2025
- Global atmospheric methanol emissions inferred from IASI satellite measurements and aircraft data J. Müller et al. https://doi.org/10.5194/acp-26-5375-2026
- Tropospheric ozone assessment report: Missions, developments, and outlook K. Lu et al. https://doi.org/10.1525/elementa.2025.00101
- Natural emissions of VOC and NOx over Africa constrained by TROPOMI HCHO and NO2 data using the MAGRITTEv1.1 model B. Opacka et al. https://doi.org/10.5194/acp-25-2863-2025
- Identifying drivers of surface ozone bias in global chemical reanalysis with explainable machine learning K. Miyazaki et al. https://doi.org/10.5194/acp-25-8507-2025
- Efficient Ozone Production within Indochina Biomass Burning Plumes: From Near-Source to Downwind Regions Z. Liao et al. https://doi.org/10.1038/s44407-026-00101-5
- Satellite-derived air quality data can effectively support health needs when use cases, Earth observing capabilities, and capacities align N. Pavlovic et al. https://doi.org/10.1080/10962247.2026.2698602
- 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
- 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
10 citations as recorded by crossref.
- Satellite data to support air quality assessment and management T. Holloway et al. https://doi.org/10.1080/10962247.2025.2484153
- Abundance of volatile organic compounds and their role in ozone pollution management: evidence from multi-platform observations and model representation during the 2021–2022 field campaign in Hong Kong X. Liu et al. https://doi.org/10.5194/acp-25-17629-2025
- Global atmospheric methanol emissions inferred from IASI satellite measurements and aircraft data J. Müller et al. https://doi.org/10.5194/acp-26-5375-2026
- Tropospheric ozone assessment report: Missions, developments, and outlook K. Lu et al. https://doi.org/10.1525/elementa.2025.00101
- Natural emissions of VOC and NOx over Africa constrained by TROPOMI HCHO and NO2 data using the MAGRITTEv1.1 model B. Opacka et al. https://doi.org/10.5194/acp-25-2863-2025
- Identifying drivers of surface ozone bias in global chemical reanalysis with explainable machine learning K. Miyazaki et al. https://doi.org/10.5194/acp-25-8507-2025
- Efficient Ozone Production within Indochina Biomass Burning Plumes: From Near-Source to Downwind Regions Z. Liao et al. https://doi.org/10.1038/s44407-026-00101-5
- Satellite-derived air quality data can effectively support health needs when use cases, Earth observing capabilities, and capacities align N. Pavlovic et al. https://doi.org/10.1080/10962247.2026.2698602
- 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
- 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
Saved (final revised paper)
Latest update: 08 Oct 2026
Short summary
We establish a simple yet robust relationship between ozone production rates and geophysical parameters obtained from several intensive atmospheric composition campaigns. We show that satellite remote sensing data can effectively constrain these parameters, enabling us to produce the first global maps of ozone production rates with unprecedented resolution.
We establish a simple yet robust relationship between ozone production rates and geophysical...
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