Articles | Volume 16, issue 3
https://doi.org/10.5194/acp-16-1445-2016
© Author(s) 2016. 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-16-1445-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Feb 2016
Research article |
| 09 Feb 2016
How to most effectively expand the global surface ozone observing network
Wolfson Atmospheric Chemistry Laboratories, Department of
Chemistry, University of York, York, YO10 5DD, UK
D. Bowdalo
Wolfson Atmospheric Chemistry Laboratories, Department of
Chemistry, University of York, York, YO10 5DD, UK
Wolfson Atmospheric Chemistry Laboratories, Department of
Chemistry, University of York, York, YO10 5DD, UK
National Centre for Atmospheric Science, Department of Chemistry,
University of York, York, YO10 5DD, UK
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Cited
21 citations as recorded by crossref.
- Tropospheric Ozone Assessment Report: Assessment of global-scale model performance for global and regional ozone distributions, variability, and trends P. Young et al. 10.1525/elementa.265
- Surface ozone in the Southern Hemisphere: 20 years of data from a site with a unique setting in El Tololo, Chile J. Anet et al. 10.5194/acp-17-6477-2017
- Spatial Coverage of Monitoring Networks: A Climate Observing System Simulation Experiment E. Weatherhead et al. 10.1175/JAMC-D-17-0040.1
- Ozone and carbon monoxide at the Ushuaia GAW-WMO global station J. Adame et al. 10.1016/j.atmosres.2018.10.015
- Exposure- and flux-based assessment of ozone risk to sugarcane plants B. Moura et al. 10.1016/j.atmosenv.2017.12.039
- Evaluating simplified chemical mechanisms within present-day simulations of the Community Earth System Model version 1.2 with CAM4 (CESM1.2 CAM-chem): MOZART-4 vs. Reduced Hydrocarbon vs. Super-Fast chemistry B. Brown-Steiner et al. 10.5194/gmd-11-4155-2018
- A review of atmospheric chemistry observations at mountain sites S. Okamoto & H. Tanimoto 10.1186/s40645-016-0109-2
- Global, high-resolution mapping of tropospheric ozone – explainable machine learning and impact of uncertainties C. Betancourt et al. 10.5194/gmd-15-4331-2022
- A new method (M<sup>3</sup>Fusion v1) for combining observations and multiple model output for an improved estimate of the global surface ozone distribution K. Chang et al. 10.5194/gmd-12-955-2019
- Legislative and functional aspects of different metrics used for ozone risk assessment to forests A. Anav et al. 10.1016/j.envpol.2021.118690
- Maximizing ozone signals among chemical, meteorological, and climatological variability B. Brown-Steiner et al. 10.5194/acp-18-8373-2018
- Influence of Northeast Monsoon cold surges on air quality in Southeast Asia M. Ashfold et al. 10.1016/j.atmosenv.2017.07.047
- Explainable Machine Learning Reveals Capabilities, Redundancy, and Limitations of a Geospatial Air Quality Benchmark Dataset S. Stadtler et al. 10.3390/make4010008
- Technical note: Challenges in detecting free tropospheric ozone trends in a sparsely sampled environment K. Chang et al. 10.5194/acp-24-6197-2024
- Tropospheric Ozone Assessment Report: Present-day distribution and trends of tropospheric ozone relevant to climate and global atmospheric chemistry model evaluation A. Gaudel et al. 10.1525/elementa.291
- Ficus trees with upregulated or downregulated defence did not impact predation on their neighbours in a tropical rainforest E. Mäntylä et al. 10.1007/s11829-022-09892-2
- Multi-decadal surface ozone trends at globally distributed remote locations O. Cooper et al. 10.1525/elementa.420
- Tropospheric Ozone Assessment Report: Database and metrics data of global surface ozone observations M. Schultz et al. 10.1525/elementa.244
- Tropospheric Ozone Assessment Report: Tropospheric ozone from 1877 to 2016, observed levels, trends and uncertainties D. Tarasick et al. 10.1525/elementa.376
- Interannual and Decadal Changes in Tropospheric Ozone in China and the Associated Chemistry-Climate Interactions: A Review Y. Fu et al. 10.1007/s00376-019-8216-9
- Tropospheric ozone assessment report: Global ozone metrics for climate change, human health, and crop/ecosystem research A. Lefohn et al. 10.1525/elementa.279
21 citations as recorded by crossref.
- Tropospheric Ozone Assessment Report: Assessment of global-scale model performance for global and regional ozone distributions, variability, and trends P. Young et al. 10.1525/elementa.265
- Surface ozone in the Southern Hemisphere: 20 years of data from a site with a unique setting in El Tololo, Chile J. Anet et al. 10.5194/acp-17-6477-2017
- Spatial Coverage of Monitoring Networks: A Climate Observing System Simulation Experiment E. Weatherhead et al. 10.1175/JAMC-D-17-0040.1
- Ozone and carbon monoxide at the Ushuaia GAW-WMO global station J. Adame et al. 10.1016/j.atmosres.2018.10.015
- Exposure- and flux-based assessment of ozone risk to sugarcane plants B. Moura et al. 10.1016/j.atmosenv.2017.12.039
- Evaluating simplified chemical mechanisms within present-day simulations of the Community Earth System Model version 1.2 with CAM4 (CESM1.2 CAM-chem): MOZART-4 vs. Reduced Hydrocarbon vs. Super-Fast chemistry B. Brown-Steiner et al. 10.5194/gmd-11-4155-2018
- A review of atmospheric chemistry observations at mountain sites S. Okamoto & H. Tanimoto 10.1186/s40645-016-0109-2
- Global, high-resolution mapping of tropospheric ozone – explainable machine learning and impact of uncertainties C. Betancourt et al. 10.5194/gmd-15-4331-2022
- A new method (M<sup>3</sup>Fusion v1) for combining observations and multiple model output for an improved estimate of the global surface ozone distribution K. Chang et al. 10.5194/gmd-12-955-2019
- Legislative and functional aspects of different metrics used for ozone risk assessment to forests A. Anav et al. 10.1016/j.envpol.2021.118690
- Maximizing ozone signals among chemical, meteorological, and climatological variability B. Brown-Steiner et al. 10.5194/acp-18-8373-2018
- Influence of Northeast Monsoon cold surges on air quality in Southeast Asia M. Ashfold et al. 10.1016/j.atmosenv.2017.07.047
- Explainable Machine Learning Reveals Capabilities, Redundancy, and Limitations of a Geospatial Air Quality Benchmark Dataset S. Stadtler et al. 10.3390/make4010008
- Technical note: Challenges in detecting free tropospheric ozone trends in a sparsely sampled environment K. Chang et al. 10.5194/acp-24-6197-2024
- Tropospheric Ozone Assessment Report: Present-day distribution and trends of tropospheric ozone relevant to climate and global atmospheric chemistry model evaluation A. Gaudel et al. 10.1525/elementa.291
- Ficus trees with upregulated or downregulated defence did not impact predation on their neighbours in a tropical rainforest E. Mäntylä et al. 10.1007/s11829-022-09892-2
- Multi-decadal surface ozone trends at globally distributed remote locations O. Cooper et al. 10.1525/elementa.420
- Tropospheric Ozone Assessment Report: Database and metrics data of global surface ozone observations M. Schultz et al. 10.1525/elementa.244
- Tropospheric Ozone Assessment Report: Tropospheric ozone from 1877 to 2016, observed levels, trends and uncertainties D. Tarasick et al. 10.1525/elementa.376
- Interannual and Decadal Changes in Tropospheric Ozone in China and the Associated Chemistry-Climate Interactions: A Review Y. Fu et al. 10.1007/s00376-019-8216-9
- Tropospheric ozone assessment report: Global ozone metrics for climate change, human health, and crop/ecosystem research A. Lefohn et al. 10.1525/elementa.279
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Latest update: 17 Jul 2024
Short summary
We explore the global representativeness of a global surface ozone data set from a range of perspectives (area, biomes, chemical regimes, model uncertainty, model trends). We conclude that the current network fails to provide sufficient constraints for important regions/regimes, leading to uncertainty for a range of atmospheric composition challenges. We suggest 20 new locations for making surface ozone observations, which would significantly enhance our observational capability.
We explore the global representativeness of a global surface ozone data set from a range of...
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