Articles | Volume 12, issue 3
https://doi.org/10.5194/gmd-12-955-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-955-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Methods for assessment of models
| 
12 Mar 2019
Methods for assessment of models |
| 12 Mar 2019
| 12 Mar 2019
A new method (M3Fusion v1) for combining observations and multiple model output for an improved estimate of the global surface ozone distribution
National Research Council Research Associateship Program, David Skaggs Research Center, Boulder, CO, USA
NOAA Earth System Research Laboratory, Boulder, CO, USA
Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, USA
Owen R. Cooper
NOAA Earth System Research Laboratory, Boulder, CO, USA
Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, USA
J. Jason West
Department of Environmental Sciences & Engineering, University of North Carolina, Chapel Hill, NC, USA
Marc L. Serre
Department of Environmental Sciences & Engineering, University of North Carolina, Chapel Hill, NC, USA
Martin G. Schultz
Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich, Jülich, Germany
Meiyun Lin
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
Program in Atmospheric and Oceanic Sciences, Princeton University, Princeton, NJ, USA
Virginie Marécal
Météo-France, Centre National de Recherches Météorologiques, Toulouse, France
Béatrice Josse
Météo-France, Centre National de Recherches Météorologiques, Toulouse, France
Makoto Deushi
Meteorological Research Institute (MRI), Tsukuba, Japan
Kengo Sudo
Graduate School of Environmental Studies, Nagoya University, Nagoya, Japan
Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokosuka, Japan
Junhua Liu
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Universities Space Research Association, Columbia, MD, USA
Christoph A. Keller
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Universities Space Research Association, Columbia, MD, USA
John A. Paulson School of Engineering and Applied Science, Harvard University, Cambridge, MA, USA
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Cited
22 citations as recorded by crossref.
- Trends in Ozone Concentration and Attributable Mortality for Urban, Peri-Urban and Rural Areas Worldwide between 2000 and 2019: Estimates from Global Datasets D. Malashock et al. 10.2139/ssrn.4155322
- Ambient air pollution and acute respiratory infection in children aged under 5 years living in 35 developing countries D. Odo et al. 10.1016/j.envint.2021.107019
- A cross-sectional analysis of long-term exposure to ambient air pollution and cognitive development in children aged 3–4 years living in 12 low- and middle-income countries D. Odo et al. 10.1016/j.envpol.2022.120916
- The effect of air pollution on deaths, disease burden, and life expectancy across China and its provinces, 1990–2017: an analysis for the Global Burden of Disease Study 2017 P. Yin et al. 10.1016/S2542-5196(20)30161-3
- Using Regionalized Air Quality Model Performance and Bayesian Maximum Entropy data fusion to map global surface ozone concentration J. Becker et al. 10.1525/elementa.2022.00025
- Burden of chronic obstructive pulmonary disease attributable to ambient ozone pollution across China and its provinces, 1990–2021: An analysis for the Global Burden of Disease Study 2021 Y. Jiang et al. 10.1097/CM9.0000000000003415
- Effects of long-term ambient air pollution exposure on township-level pulmonary tuberculosis notification rates during 2005–2017 in Ningxia, China I. Popovic et al. 10.1016/j.envpol.2022.120718
- Sub‐City Scale Hourly Air Quality Forecasting by Combining Models, Satellite Observations, and Ground Measurements C. Malings et al. 10.1029/2021EA001743
- Global trends in ozone concentration and attributable mortality for urban, peri-urban, and rural areas between 2000 and 2019: a modelling study D. Malashock et al. 10.1016/S2542-5196(22)00260-1
- Modeling of the health impacts of ambient ozone pollution in China and India L. Liu et al. 10.1016/j.atmosenv.2021.118753
- Multi-stage ensemble-learning-based model fusion for surface ozone simulations: A focus on CMIP6 models Z. Sun & A. Archibald 10.1016/j.ese.2021.100124
- The global burden of transportation tailpipe emissions on air pollution-related mortality in 2010 and 2015 S. Anenberg et al. 10.1088/1748-9326/ab35fc
- WHO Air Quality Guidelines Need to be Adopted H. Amini 10.3389/ijph.2021.1604483
- Using Satellites to Track Indicators of Global Air Pollution and Climate Change Impacts: Lessons Learned From a NASA‐Supported Science‐Stakeholder Collaborative S. Anenberg et al. 10.1029/2020GH000270
- Individual and joint associations of long-term exposure to air pollutants and cardiopulmonary mortality: a 22-year cohort study in Northern China W. Huang et al. 10.1016/j.lanwpc.2023.100776
- Mapping Yearly Fine Resolution Global Surface Ozone through the Bayesian Maximum Entropy Data Fusion of Observations and Model Output for 1990–2017 M. DeLang et al. 10.1021/acs.est.0c07742
- Correcting ozone biases in a global chemistry–climate model: implications for future ozone Z. Liu et al. 10.5194/acp-22-12543-2022
- Substantially underestimated global health risks of current ozone pollution Y. Wang et al. 10.1038/s41467-024-55450-0
- Estimates of ozone concentrations and attributable mortality in urban, peri-urban and rural areas worldwide in 2019 D. Malashock et al. 10.1088/1748-9326/ac66f3
- Multi-decadal surface ozone trends at globally distributed remote locations O. Cooper et al. 10.1525/elementa.420
- A cross-sectional analysis of ambient fine particulate matter (PM2.5) exposure and haemoglobin levels in children aged under 5 years living in 36 countries D. Odo et al. 10.1016/j.envres.2023.115734
- Improving and Expanding Estimates of the Global Burden of Disease Due to Environmental Health Risk Factors R. Shaffer et al. 10.1289/EHP5496
22 citations as recorded by crossref.
- Trends in Ozone Concentration and Attributable Mortality for Urban, Peri-Urban and Rural Areas Worldwide between 2000 and 2019: Estimates from Global Datasets D. Malashock et al. 10.2139/ssrn.4155322
- Ambient air pollution and acute respiratory infection in children aged under 5 years living in 35 developing countries D. Odo et al. 10.1016/j.envint.2021.107019
- A cross-sectional analysis of long-term exposure to ambient air pollution and cognitive development in children aged 3–4 years living in 12 low- and middle-income countries D. Odo et al. 10.1016/j.envpol.2022.120916
- The effect of air pollution on deaths, disease burden, and life expectancy across China and its provinces, 1990–2017: an analysis for the Global Burden of Disease Study 2017 P. Yin et al. 10.1016/S2542-5196(20)30161-3
- Using Regionalized Air Quality Model Performance and Bayesian Maximum Entropy data fusion to map global surface ozone concentration J. Becker et al. 10.1525/elementa.2022.00025
- Burden of chronic obstructive pulmonary disease attributable to ambient ozone pollution across China and its provinces, 1990–2021: An analysis for the Global Burden of Disease Study 2021 Y. Jiang et al. 10.1097/CM9.0000000000003415
- Effects of long-term ambient air pollution exposure on township-level pulmonary tuberculosis notification rates during 2005–2017 in Ningxia, China I. Popovic et al. 10.1016/j.envpol.2022.120718
- Sub‐City Scale Hourly Air Quality Forecasting by Combining Models, Satellite Observations, and Ground Measurements C. Malings et al. 10.1029/2021EA001743
- Global trends in ozone concentration and attributable mortality for urban, peri-urban, and rural areas between 2000 and 2019: a modelling study D. Malashock et al. 10.1016/S2542-5196(22)00260-1
- Modeling of the health impacts of ambient ozone pollution in China and India L. Liu et al. 10.1016/j.atmosenv.2021.118753
- Multi-stage ensemble-learning-based model fusion for surface ozone simulations: A focus on CMIP6 models Z. Sun & A. Archibald 10.1016/j.ese.2021.100124
- The global burden of transportation tailpipe emissions on air pollution-related mortality in 2010 and 2015 S. Anenberg et al. 10.1088/1748-9326/ab35fc
- WHO Air Quality Guidelines Need to be Adopted H. Amini 10.3389/ijph.2021.1604483
- Using Satellites to Track Indicators of Global Air Pollution and Climate Change Impacts: Lessons Learned From a NASA‐Supported Science‐Stakeholder Collaborative S. Anenberg et al. 10.1029/2020GH000270
- Individual and joint associations of long-term exposure to air pollutants and cardiopulmonary mortality: a 22-year cohort study in Northern China W. Huang et al. 10.1016/j.lanwpc.2023.100776
- Mapping Yearly Fine Resolution Global Surface Ozone through the Bayesian Maximum Entropy Data Fusion of Observations and Model Output for 1990–2017 M. DeLang et al. 10.1021/acs.est.0c07742
- Correcting ozone biases in a global chemistry–climate model: implications for future ozone Z. Liu et al. 10.5194/acp-22-12543-2022
- Substantially underestimated global health risks of current ozone pollution Y. Wang et al. 10.1038/s41467-024-55450-0
- Estimates of ozone concentrations and attributable mortality in urban, peri-urban and rural areas worldwide in 2019 D. Malashock et al. 10.1088/1748-9326/ac66f3
- Multi-decadal surface ozone trends at globally distributed remote locations O. Cooper et al. 10.1525/elementa.420
- A cross-sectional analysis of ambient fine particulate matter (PM2.5) exposure and haemoglobin levels in children aged under 5 years living in 36 countries D. Odo et al. 10.1016/j.envres.2023.115734
- Improving and Expanding Estimates of the Global Burden of Disease Due to Environmental Health Risk Factors R. Shaffer et al. 10.1289/EHP5496
Discussed (preprint)
Latest update: 31 Mar 2025
Short summary
We developed a new method for combining surface ozone observations from thousands of monitoring sites worldwide with the output from multiple atmospheric chemistry models. The result is a global surface ozone distribution with greater accuracy than any single model can achieve. We focused on an ozone metric relevant to human mortality caused by long-term ozone exposure. Our method can be applied to studies that quantify the impacts of ozone on human health and mortality.
We developed a new method for combining surface ozone observations from thousands of monitoring...
