Articles | Volume 18, issue 4
https://doi.org/10.5194/acp-18-2443-2018
© Author(s) 2018. 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-18-2443-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Global sensitivity analysis of GEOS-Chem modeled ozone and hydrogen oxides during the INTEX campaigns
Kenneth E. Christian
CORRESPONDING AUTHOR
Department of Meteorology and Atmospheric Science, Pennsylvania
State University, University Park, PA, USA
now at: Center for Global and Regional Environmental Research & Department
of Chemical and Biochemical Engineering, University of Iowa, Iowa City, IA, USA
William H. Brune
Department of Meteorology and Atmospheric Science, Pennsylvania
State University, University Park, PA, USA
Jingqiu Mao
Department of Chemistry and Biochemistry and Geophysical Institute,
University of Alaska at Fairbanks, Fairbanks, AK, USA
Xinrong Ren
Department of Atmospheric and Oceanic Science, University of Maryland,
College Park, MD, USA
Air Resources Laboratory, National Oceanic and Atmospheric Administration,
College Park, MD, USA
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Cited
14 citations as recorded by crossref.
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- Uncertainty analysis of modeled ozone changes due to anthropogenic emission reductions in Eastern Texas A. Dunker et al. https://doi.org/10.1016/j.atmosenv.2021.118798
- Surrogate-Based Global Sensitivity Analysis with Statistical Guarantees via Floodgate M. Aufiero & L. Janson https://doi.org/10.1137/24M1718330
- Exploring the processes controlling secondary inorganic aerosol: evaluating the global GEOS-Chem simulation using a suite of aircraft campaigns O. Norman et al. https://doi.org/10.5194/acp-25-771-2025
- Chemical Sensitivity Analysis and Uncertainty Analysis of Ozone Production in the Comprehensive Air Quality Model with Extensions Applied to Eastern Texas A. Dunker et al. https://doi.org/10.1021/acs.est.9b07543
- Evaluation of model-simulated atmospheric methane over South Korea using ground-based and aircraft observations S. Do et al. https://doi.org/10.1007/s10661-026-15220-5
- 临近空间紫外辐射环境及影响因素研究 安. AN Yuan et al. https://doi.org/10.3788/gzxb20245303.0301001
- Climate and Tropospheric Oxidizing Capacity A. Fiore et al. https://doi.org/10.1146/annurev-earth-032320-090307
- Enabling Immediate Access to Earth Science Models through Cloud Computing: Application to the GEOS-Chem Model J. Zhuang et al. https://doi.org/10.1175/BAMS-D-18-0243.1
- Constraining remote oxidation capacity with ATom observations K. Travis et al. https://doi.org/10.5194/acp-20-7753-2020
- Global impacts of aviation on air quality evaluated at high resolution S. Eastham et al. https://doi.org/10.5194/acp-24-2687-2024
- Sensitivity of photochemical surface ozone formation regimes to emissions and meteorology in India G. Gopikrishnan et al. https://doi.org/10.5194/acp-26-1907-2026
- 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
- Aerosol inhibition on photochemical surface ozone formation under future climate and air quality scenarios G. Gopikrishnan et al. https://doi.org/10.1038/s41612-025-01048-2
14 citations as recorded by crossref.
- Quantifying and addressing the uncertainties in tropospheric ozone and OH in a global chemistry transport model O. Wild & E. Ryan https://doi.org/10.5194/acp-26-2255-2026
- Uncertainty analysis of modeled ozone changes due to anthropogenic emission reductions in Eastern Texas A. Dunker et al. https://doi.org/10.1016/j.atmosenv.2021.118798
- Surrogate-Based Global Sensitivity Analysis with Statistical Guarantees via Floodgate M. Aufiero & L. Janson https://doi.org/10.1137/24M1718330
- Exploring the processes controlling secondary inorganic aerosol: evaluating the global GEOS-Chem simulation using a suite of aircraft campaigns O. Norman et al. https://doi.org/10.5194/acp-25-771-2025
- Chemical Sensitivity Analysis and Uncertainty Analysis of Ozone Production in the Comprehensive Air Quality Model with Extensions Applied to Eastern Texas A. Dunker et al. https://doi.org/10.1021/acs.est.9b07543
- Evaluation of model-simulated atmospheric methane over South Korea using ground-based and aircraft observations S. Do et al. https://doi.org/10.1007/s10661-026-15220-5
- 临近空间紫外辐射环境及影响因素研究 安. AN Yuan et al. https://doi.org/10.3788/gzxb20245303.0301001
- Climate and Tropospheric Oxidizing Capacity A. Fiore et al. https://doi.org/10.1146/annurev-earth-032320-090307
- Enabling Immediate Access to Earth Science Models through Cloud Computing: Application to the GEOS-Chem Model J. Zhuang et al. https://doi.org/10.1175/BAMS-D-18-0243.1
- Constraining remote oxidation capacity with ATom observations K. Travis et al. https://doi.org/10.5194/acp-20-7753-2020
- Global impacts of aviation on air quality evaluated at high resolution S. Eastham et al. https://doi.org/10.5194/acp-24-2687-2024
- Sensitivity of photochemical surface ozone formation regimes to emissions and meteorology in India G. Gopikrishnan et al. https://doi.org/10.5194/acp-26-1907-2026
- 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
- Aerosol inhibition on photochemical surface ozone formation under future climate and air quality scenarios G. Gopikrishnan et al. https://doi.org/10.1038/s41612-025-01048-2
Saved (final revised paper)
Latest update: 22 Oct 2026
Short summary
We applied a global sensitivity analysis to the GEOS-Chem chemical transport model analyzing some well-studied tropospheric oxidants for a time period corresponding to an aircraft field campaign. We find modeled results generally agree with measurements when uncertainties in both the model and measurements are taken into account. While model results were largely sensitive to emissions, chemical reaction rates also represented a large source of uncertainty.
We applied a global sensitivity analysis to the GEOS-Chem chemical transport model analyzing...
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