Articles | Volume 17, issue 23
https://doi.org/10.5194/acp-17-14661-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-14661-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Surface ozone and its precursors at Summit, Greenland: comparison between observations and model simulations
Department of Geological and Mining Engineering and Sciences, Michigan
Technological University, Houghton, Michigan, USA
now at: Department of Climate and Space Sciences and Engineering,
University of Michigan, Ann Arbor, Michigan, USA
Shiliang Wu
CORRESPONDING AUTHOR
Department of Geological and Mining Engineering and Sciences, Michigan
Technological University, Houghton, Michigan, USA
Atmospheric Sciences Program, Michigan Technological University,
Houghton, Michigan, USA
College of Environmental Science and Engineering, Ocean University of
China, Qingdao, China
Louisa J. Kramer
Department of Geological and Mining Engineering and Sciences, Michigan
Technological University, Houghton, Michigan, USA
Atmospheric Sciences Program, Michigan Technological University,
Houghton, Michigan, USA
now at: School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK
Detlev Helmig
Institute of Arctic and Alpine Research, University of Colorado,
Boulder, Colorado, USA
Richard E. Honrath
Department of Geological and Mining Engineering and Sciences, Michigan
Technological University, Houghton, Michigan, USA
Atmospheric Sciences Program, Michigan Technological University,
Houghton, Michigan, USA
deceased
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- Impacts of enhanced fertilizer applications on tropospheric ozone and crop damage over sub-Saharan Africa Y. Huang et al. https://doi.org/10.1016/j.atmosenv.2018.02.040
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- Arctic tropospheric ozone: assessment of current knowledge and model performance C. Whaley et al. https://doi.org/10.5194/acp-23-637-2023
- Declining Δ17O of nitrate in the northeastern Tibetan Plateau reveals changing atmospheric oxidative capacity X. Yan et al. https://doi.org/10.1038/s43247-026-03266-9
- Peroxyacetyl nitrate (PAN) in the atmosphere: a comprehensive review of chemistry, measurements, and chemical-transport implications C. Flowerday & J. Hansen https://doi.org/10.1039/D6EA00017G
- Isotopic Constraints on the Formation Mechanisms of Sulfate Aerosols in the Summer Arctic Marine Boundary Layer P. He et al. https://doi.org/10.1029/2022JD036601
- Effect of potential HONO sources on peroxyacetyl nitrate (PAN) formation in eastern China in winter J. Zhang et al. https://doi.org/10.1016/j.jes.2020.03.039
- Air pollution, depressive and anxiety disorders, and brain effects: A systematic review C. Zundel et al. https://doi.org/10.1016/j.neuro.2022.10.011
- Understanding mercury oxidation and air–snow exchange on the East Antarctic Plateau: a modeling study S. Song et al. https://doi.org/10.5194/acp-18-15825-2018
- Global Climate and Human Health Effects of the Gasoline and Diesel Vehicle Fleets Y. Huang et al. https://doi.org/10.1029/2019GH000240
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14 citations as recorded by crossref.
- Characteristics of peroxyacetyl nitrate (PAN) in the high-elevation background atmosphere of South-Central China: Implications for regional photochemical pollution . Daocheng Gong et al. https://doi.org/10.1016/j.atmosenv.2021.118424
- Impacts of enhanced fertilizer applications on tropospheric ozone and crop damage over sub-Saharan Africa Y. Huang et al. https://doi.org/10.1016/j.atmosenv.2018.02.040
- Impacts of Global Solid Biofuel Stove Emissions on Ambient Air Quality and Human Health Y. Huang et al. https://doi.org/10.1029/2020GH000362
- Health on two wheels: cycling’s net benefits and equity implications for children M. Nayeem et al. https://doi.org/10.1016/j.trd.2026.105440
- Long-term trends of impacts of global gasoline and diesel emissions on ambient PM2.5 and O3 pollution and the related health burden for 2000–2015 Y. Xiong et al. https://doi.org/10.1088/1748-9326/ac9422
- Arctic tropospheric ozone: assessment of current knowledge and model performance C. Whaley et al. https://doi.org/10.5194/acp-23-637-2023
- Declining Δ17O of nitrate in the northeastern Tibetan Plateau reveals changing atmospheric oxidative capacity X. Yan et al. https://doi.org/10.1038/s43247-026-03266-9
- Peroxyacetyl nitrate (PAN) in the atmosphere: a comprehensive review of chemistry, measurements, and chemical-transport implications C. Flowerday & J. Hansen https://doi.org/10.1039/D6EA00017G
- Isotopic Constraints on the Formation Mechanisms of Sulfate Aerosols in the Summer Arctic Marine Boundary Layer P. He et al. https://doi.org/10.1029/2022JD036601
- Effect of potential HONO sources on peroxyacetyl nitrate (PAN) formation in eastern China in winter J. Zhang et al. https://doi.org/10.1016/j.jes.2020.03.039
- Air pollution, depressive and anxiety disorders, and brain effects: A systematic review C. Zundel et al. https://doi.org/10.1016/j.neuro.2022.10.011
- Understanding mercury oxidation and air–snow exchange on the East Antarctic Plateau: a modeling study S. Song et al. https://doi.org/10.5194/acp-18-15825-2018
- Global Climate and Human Health Effects of the Gasoline and Diesel Vehicle Fleets Y. Huang et al. https://doi.org/10.1029/2019GH000240
- First simultaneous measurements of peroxyacetyl nitrate (PAN) and ozone at Nam Co in the central Tibetan Plateau: impacts from the PBL evolution and transport processes X. Xu et al. https://doi.org/10.5194/acp-18-5199-2018
Saved (final revised paper)
Latest update: 17 Jun 2026
Short summary
A global chemical transport model (GEOS-Chem) was employed to simulate surface ozone and its precursors at Summit, Greenland in the Arctic and compare them with 2-year in situ surface observations. The model performed well in simulating certain species (such as carbon monoxide and propane), but some significant discrepancies were identified for other species (e.g., nitrogen oxides, ethane, PAN, and ozone). We further investigated the exact causes for model–data biases.
A global chemical transport model (GEOS-Chem) was employed to simulate surface ozone and its...
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