Articles | Volume 24, issue 15
https://doi.org/10.5194/acp-24-8677-2024
© 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-24-8677-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
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
Amir H. Souri
CORRESPONDING AUTHOR
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center (GSFC), Greenbelt, MD, USA
GESTAR II, Morgan State University, Baltimore, MD, USA
Bryan N. Duncan
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center (GSFC), Greenbelt, MD, USA
Sarah A. Strode
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center (GSFC), Greenbelt, MD, USA
GESTAR II, Morgan State University, Baltimore, MD, USA
Daniel C. Anderson
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center (GSFC), Greenbelt, MD, USA
GESTAR II, University of Maryland Baltimore County, Baltimore, MD, USA
Michael E. Manyin
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center (GSFC), Greenbelt, MD, USA
Science Systems and Applications, Inc., Lanham, MD, USA
Junhua Liu
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center (GSFC), Greenbelt, MD, USA
GESTAR II, Morgan State University, Baltimore, MD, USA
Luke D. Oman
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center (GSFC), Greenbelt, MD, USA
Zhen Zhang
National Tibetan Plateau Data Center (TPDC), State Key Laboratory of Tibetan Plateau Earth System, Environment and Resource (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
Brad Weir
GESTAR II, Morgan State University, Baltimore, MD, USA
NASA Global Modeling and Assimilation Office (GMAO), Goddard Space Flight Center, Greenbelt, MD, USA
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Cited
9 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
- Opinion: Beyond global means – novel space-based approaches to indirectly constrain the concentrations of and trends and variations in the tropospheric hydroxyl radical (OH) B. Duncan et al. https://doi.org/10.5194/acp-24-13001-2024
- Emissions of Ozone-Layer-Depleting Methyl Chloroform (CH3CCl3) in China Inferred from High-Frequency In-Situ Observations S. Jin et al. https://doi.org/10.1021/acs.estlett.5c00776
- Tropospheric OH and its trends: new insight into atmospheric processes and implications for methane lifetime X. Hou et al. https://doi.org/10.5194/acp-26-13767-2026
- SO2 emissions derived from TROPOMI observations over India using a flux-divergence method with variable lifetimes Y. Chen et al. https://doi.org/10.5194/acp-25-1851-2025
- 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
- Revisiting the high tropospheric ozone over southern Africa: role of biomass burning and anthropogenic emissions Y. Wang et al. https://doi.org/10.5194/acp-25-4455-2025
- Air pollution modulates trends and variability of the global methane budget Y. Zhao et al. https://doi.org/10.1038/s41586-025-09004-z
- Bromine Monoxide Radical Likely Dominates Dimethylsulfide Oxidation before the Springtime Onset of Arctic Ice Melt C. Zang et al. https://doi.org/10.1021/acs.est.6c06288
9 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
- Opinion: Beyond global means – novel space-based approaches to indirectly constrain the concentrations of and trends and variations in the tropospheric hydroxyl radical (OH) B. Duncan et al. https://doi.org/10.5194/acp-24-13001-2024
- Emissions of Ozone-Layer-Depleting Methyl Chloroform (CH3CCl3) in China Inferred from High-Frequency In-Situ Observations S. Jin et al. https://doi.org/10.1021/acs.estlett.5c00776
- Tropospheric OH and its trends: new insight into atmospheric processes and implications for methane lifetime X. Hou et al. https://doi.org/10.5194/acp-26-13767-2026
- SO2 emissions derived from TROPOMI observations over India using a flux-divergence method with variable lifetimes Y. Chen et al. https://doi.org/10.5194/acp-25-1851-2025
- 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
- Revisiting the high tropospheric ozone over southern Africa: role of biomass burning and anthropogenic emissions Y. Wang et al. https://doi.org/10.5194/acp-25-4455-2025
- Air pollution modulates trends and variability of the global methane budget Y. Zhao et al. https://doi.org/10.1038/s41586-025-09004-z
- Bromine Monoxide Radical Likely Dominates Dimethylsulfide Oxidation before the Springtime Onset of Arctic Ice Melt C. Zang et al. https://doi.org/10.1021/acs.est.6c06288
Saved (final revised paper)
Latest update: 07 Nov 2026
Short summary
We explore a new method of using the wealth of information obtained from satellite observations of Aura OMI NO2, HCHO, and MERRA-2 reanalysis in NASA’s GEOS model equipped with an efficient tropospheric OH (TOH) estimator to enhance the representation of TOH spatial distribution and its long-term trends. This new framework helps us pinpoint regional inaccuracies in TOH and differentiate between established prior knowledge and newly acquired information from satellites on TOH trends.
We explore a new method of using the wealth of information obtained from satellite observations...
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