Articles | Volume 20, issue 7
https://doi.org/10.5194/acp-20-4047-2020
© Author(s) 2020. 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-20-4047-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Apr 2020
Research article |
| 03 Apr 2020
| 03 Apr 2020
Global sensitivity analysis of chemistry–climate model budgets of tropospheric ozone and OH: exploring model diversity
Lancaster Environment Centre, Lancaster University, Lancaster, UK
Apostolos Voulgarakis
Department of Physics, Imperial College, London, UK
Fiona O'Connor
Met Office Hadley Centre, Exeter, UK
Jean-François Lamarque
National Center for Atmospheric Research, Boulder, CO, USA
Edmund M. Ryan
Lancaster Environment Centre, Lancaster University, Lancaster, UK
now at: School of Mathematics, University of Manchester, Manchester, UK
Lindsay Lee
School of Earth and Environment, University of Leeds, Leeds, UK
now at: Department of Engineering and Mathematics, Sheffield Hallam University, Sheffield, UK
Viewed
Total article views: 2,801 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Sep 2019)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,852 | 915 | 34 | 2,801 | 129 | 35 | 39 |
- HTML: 1,852
- PDF: 915
- XML: 34
- Total: 2,801
- Supplement: 129
- BibTeX: 35
- EndNote: 39
Total article views: 2,080 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 03 Apr 2020)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,451 | 602 | 27 | 2,080 | 129 | 27 | 30 |
- HTML: 1,451
- PDF: 602
- XML: 27
- Total: 2,080
- Supplement: 129
- BibTeX: 27
- EndNote: 30
Total article views: 721 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Sep 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 401 | 313 | 7 | 721 | 8 | 9 |
- HTML: 401
- PDF: 313
- XML: 7
- Total: 721
- BibTeX: 8
- EndNote: 9
Viewed (geographical distribution)
Total article views: 2,801 (including HTML, PDF, and XML)
Thereof 2,588 with geography defined
and 213 with unknown origin.
Total article views: 2,080 (including HTML, PDF, and XML)
Thereof 1,879 with geography defined
and 201 with unknown origin.
Total article views: 721 (including HTML, PDF, and XML)
Thereof 709 with geography defined
and 12 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
31 citations as recorded by crossref.
- Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP D. Stevenson et al. 10.5194/acp-20-12905-2020
- Correcting ozone biases in a global chemistry–climate model: implications for future ozone Z. Liu et al. 10.5194/acp-22-12543-2022
- Benefits of net-zero policies for future ozone pollution in China Z. Liu et al. 10.5194/acp-23-13755-2023
- Methyl Chloroform Continues to Constrain the Hydroxyl (OH) Variability in the Troposphere P. Patra et al. 10.1029/2020JD033862
- Atmospheric-methane source and sink sensitivity analysis using Gaussian process emulation A. Stell et al. 10.5194/acp-21-1717-2021
- Technical note: Constraining the hydroxyl (OH) radical in the tropics with satellite observations of its drivers – first steps toward assessing the feasibility of a global observation strategy D. Anderson et al. 10.5194/acp-23-6319-2023
- On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms A. Archibald et al. 10.1098/rsta.2019.0329
- Tropospheric ozone in CMIP6 simulations P. Griffiths et al. 10.5194/acp-21-4187-2021
- Simulating organic aerosol in Delhi with WRF-Chem using the volatility-basis-set approach: exploring model uncertainty with a Gaussian process emulator E. Reyes-Villegas et al. 10.5194/acp-23-5763-2023
- Multi-method global sensitivity analysis of mathematical models A. Dela et al. 10.1016/j.jtbi.2022.111159
- Investigations on the anthropogenic reversal of the natural ozone gradient between northern and southern midlatitudes D. Parrish et al. 10.5194/acp-21-9669-2021
- Uncertainty analysis of modeled ozone changes due to anthropogenic emission reductions in Eastern Texas A. Dunker et al. 10.1016/j.atmosenv.2021.118798
- Global Warming Potential (GWP) for Methane: Monte Carlo Analysis of the Uncertainties in Global Tropospheric Model Predictions R. Derwent 10.3390/atmos11050486
- An observation-based, reduced-form model for oxidation in the remote marine troposphere C. Baublitz et al. 10.1073/pnas.2209735120
- Description and Evaluation of an Emission‐Driven and Fully Coupled Methane Cycle in UKESM1 G. Folberth et al. 10.1029/2021MS002982
- Projections of Future Air Quality Are Uncertain. But Which Source of Uncertainty Is Most Important? R. Doherty et al. 10.1029/2022JD037948
- Intercomparison of the representations of the atmospheric chemistry of pre-industrial methane and ozone in earth system and other global chemistry-transport models R. Derwent et al. 10.1016/j.atmosenv.2021.118248
- Sensitivity of Air Pollution Exposure and Disease Burden to Emission Changes in China Using Machine Learning Emulation L. Conibear et al. 10.1029/2021GH000570
- Sensitivity of tropospheric ozone to halogen chemistry in the chemistry–climate model LMDZ-INCA vNMHC C. Caram et al. 10.5194/gmd-16-4041-2023
- Statistical Emulation of Winter Ambient Fine Particulate Matter Concentrations From Emission Changes in China L. Conibear et al. 10.1029/2021GH000391
- Calibrating a global atmospheric chemistry transport model using Gaussian process emulation and ground-level concentrations of ozone and carbon monoxide E. Ryan & O. Wild 10.5194/gmd-14-5373-2021
- Global Scale Inversions from MOPITT CO and MODIS AOD B. Gaubert et al. 10.3390/rs15194813
- Changes in anthropogenic precursor emissions drive shifts in the ozone seasonal cycle throughout the northern midlatitude troposphere H. Bowman et al. 10.5194/acp-22-3507-2022
- Assessment of pre-industrial to present-day anthropogenic climate forcing in UKESM1 F. O'Connor et al. 10.5194/acp-21-1211-2021
- Probabilistic threshold analysis by pairwise stochastic approximation for decision-making under uncertainty T. Goda & Y. Yamada 10.1038/s41598-021-99089-z
- Atlantis Ecosystem Model Summit 2022: Report from a workshop H. Perryman et al. 10.1016/j.ecolmodel.2023.110442
- The global and regional air quality impacts of dietary change M. Springmann et al. 10.1038/s41467-023-41789-3
- Exploring the drivers of tropospheric hydroxyl radical trends in the Geophysical Fluid Dynamics Laboratory AM4.1 atmospheric chemistry–climate model G. Chua et al. 10.5194/acp-23-4955-2023
- Historical and future changes in air pollutants from CMIP6 models S. Turnock et al. 10.5194/acp-20-14547-2020
- Spatial and temporal variability in the hydroxyl (OH) radical: understanding the role of large-scale climate features and their influence on OH through its dynamical and photochemical drivers D. Anderson et al. 10.5194/acp-21-6481-2021
- Hydroxyl Radical (OH) Response to Meteorological Forcing and Implication for the Methane Budget J. He et al. 10.1029/2021GL094140
31 citations as recorded by crossref.
- Trends in global tropospheric hydroxyl radical and methane lifetime since 1850 from AerChemMIP D. Stevenson et al. 10.5194/acp-20-12905-2020
- Correcting ozone biases in a global chemistry–climate model: implications for future ozone Z. Liu et al. 10.5194/acp-22-12543-2022
- Benefits of net-zero policies for future ozone pollution in China Z. Liu et al. 10.5194/acp-23-13755-2023
- Methyl Chloroform Continues to Constrain the Hydroxyl (OH) Variability in the Troposphere P. Patra et al. 10.1029/2020JD033862
- Atmospheric-methane source and sink sensitivity analysis using Gaussian process emulation A. Stell et al. 10.5194/acp-21-1717-2021
- Technical note: Constraining the hydroxyl (OH) radical in the tropics with satellite observations of its drivers – first steps toward assessing the feasibility of a global observation strategy D. Anderson et al. 10.5194/acp-23-6319-2023
- On the changes in surface ozone over the twenty-first century: sensitivity to changes in surface temperature and chemical mechanisms A. Archibald et al. 10.1098/rsta.2019.0329
- Tropospheric ozone in CMIP6 simulations P. Griffiths et al. 10.5194/acp-21-4187-2021
- Simulating organic aerosol in Delhi with WRF-Chem using the volatility-basis-set approach: exploring model uncertainty with a Gaussian process emulator E. Reyes-Villegas et al. 10.5194/acp-23-5763-2023
- Multi-method global sensitivity analysis of mathematical models A. Dela et al. 10.1016/j.jtbi.2022.111159
- Investigations on the anthropogenic reversal of the natural ozone gradient between northern and southern midlatitudes D. Parrish et al. 10.5194/acp-21-9669-2021
- Uncertainty analysis of modeled ozone changes due to anthropogenic emission reductions in Eastern Texas A. Dunker et al. 10.1016/j.atmosenv.2021.118798
- Global Warming Potential (GWP) for Methane: Monte Carlo Analysis of the Uncertainties in Global Tropospheric Model Predictions R. Derwent 10.3390/atmos11050486
- An observation-based, reduced-form model for oxidation in the remote marine troposphere C. Baublitz et al. 10.1073/pnas.2209735120
- Description and Evaluation of an Emission‐Driven and Fully Coupled Methane Cycle in UKESM1 G. Folberth et al. 10.1029/2021MS002982
- Projections of Future Air Quality Are Uncertain. But Which Source of Uncertainty Is Most Important? R. Doherty et al. 10.1029/2022JD037948
- Intercomparison of the representations of the atmospheric chemistry of pre-industrial methane and ozone in earth system and other global chemistry-transport models R. Derwent et al. 10.1016/j.atmosenv.2021.118248
- Sensitivity of Air Pollution Exposure and Disease Burden to Emission Changes in China Using Machine Learning Emulation L. Conibear et al. 10.1029/2021GH000570
- Sensitivity of tropospheric ozone to halogen chemistry in the chemistry–climate model LMDZ-INCA vNMHC C. Caram et al. 10.5194/gmd-16-4041-2023
- Statistical Emulation of Winter Ambient Fine Particulate Matter Concentrations From Emission Changes in China L. Conibear et al. 10.1029/2021GH000391
- Calibrating a global atmospheric chemistry transport model using Gaussian process emulation and ground-level concentrations of ozone and carbon monoxide E. Ryan & O. Wild 10.5194/gmd-14-5373-2021
- Global Scale Inversions from MOPITT CO and MODIS AOD B. Gaubert et al. 10.3390/rs15194813
- Changes in anthropogenic precursor emissions drive shifts in the ozone seasonal cycle throughout the northern midlatitude troposphere H. Bowman et al. 10.5194/acp-22-3507-2022
- Assessment of pre-industrial to present-day anthropogenic climate forcing in UKESM1 F. O'Connor et al. 10.5194/acp-21-1211-2021
- Probabilistic threshold analysis by pairwise stochastic approximation for decision-making under uncertainty T. Goda & Y. Yamada 10.1038/s41598-021-99089-z
- Atlantis Ecosystem Model Summit 2022: Report from a workshop H. Perryman et al. 10.1016/j.ecolmodel.2023.110442
- The global and regional air quality impacts of dietary change M. Springmann et al. 10.1038/s41467-023-41789-3
- Exploring the drivers of tropospheric hydroxyl radical trends in the Geophysical Fluid Dynamics Laboratory AM4.1 atmospheric chemistry–climate model G. Chua et al. 10.5194/acp-23-4955-2023
- Historical and future changes in air pollutants from CMIP6 models S. Turnock et al. 10.5194/acp-20-14547-2020
- Spatial and temporal variability in the hydroxyl (OH) radical: understanding the role of large-scale climate features and their influence on OH through its dynamical and photochemical drivers D. Anderson et al. 10.5194/acp-21-6481-2021
- Hydroxyl Radical (OH) Response to Meteorological Forcing and Implication for the Methane Budget J. He et al. 10.1029/2021GL094140
Latest update: 29 Nov 2023
Short summary
Global models of tropospheric chemistry and transport show a persistent diversity in results that has not been fully explained. We demonstrate the first use of global sensitivity analysis consistently across three independent models to explore these differences and reveal both clear similarities and surprising differences which have important implications for our assessment of future atmospheric composition change.
Global models of tropospheric chemistry and transport show a persistent diversity in results...
Altmetrics
Final-revised paper
Preprint