Articles | Volume 19, issue 13
https://doi.org/10.5194/acp-19-8669-2019
© 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/acp-19-8669-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Impact of El Niño–Southern Oscillation on the interannual variability of methane and tropospheric ozone
Institute for Climate and Atmospheric Science, School of Earth and
Environment, University of Leeds, Leeds, LS2 9JT, UK
Alexandru Rap
Institute for Climate and Atmospheric Science, School of Earth and
Environment, University of Leeds, Leeds, LS2 9JT, UK
Stephen R. Arnold
Institute for Climate and Atmospheric Science, School of Earth and
Environment, University of Leeds, Leeds, LS2 9JT, UK
Richard J. Pope
Institute for Climate and Atmospheric Science, School of Earth and
Environment, University of Leeds, Leeds, LS2 9JT, UK
National Centre for Earth Observation, University of Leeds, Leeds, LS2 9JT, UK
Martyn P. Chipperfield
Institute for Climate and Atmospheric Science, School of Earth and
Environment, University of Leeds, Leeds, LS2 9JT, UK
National Centre for Earth Observation, University of Leeds, Leeds, LS2 9JT, UK
Joe McNorton
European Centre for Medium-Range Weather Forecasts, Reading, RG2 9AX, UK
Piers Forster
Priestley International Centre for Climate, University of Leeds, LS2 9JT, Leeds, UK
Hamish Gordon
Institute for Climate and Atmospheric Science, School of Earth and
Environment, University of Leeds, Leeds, LS2 9JT, UK
Kirsty J. Pringle
Institute for Climate and Atmospheric Science, School of Earth and
Environment, University of Leeds, Leeds, LS2 9JT, UK
Wuhu Feng
Institute for Climate and Atmospheric Science, School of Earth and
Environment, University of Leeds, Leeds, LS2 9JT, UK
National Centre for Atmospheric Science, University of Leeds, LS2 9JT, Leeds, UK
Brian J. Kerridge
Remote Sensing Group, STFC Rutherford Appleton Laboratory, Harwell,
Oxfordshire, OX11 0QX, UK
National Centre for Earth Observation, Harwell, Oxfordshire, OX11 0QX, UK
Barry L. Latter
Remote Sensing Group, STFC Rutherford Appleton Laboratory, Harwell,
Oxfordshire, OX11 0QX, UK
National Centre for Earth Observation, Harwell, Oxfordshire, OX11 0QX, UK
Richard Siddans
Remote Sensing Group, STFC Rutherford Appleton Laboratory, Harwell,
Oxfordshire, OX11 0QX, UK
National Centre for Earth Observation, Harwell, Oxfordshire, OX11 0QX, UK
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Cited
31 citations as recorded by crossref.
- Effects of Chemical Feedbacks on Decadal Methane Emissions Estimates N. Nguyen et al. 10.1029/2019GL085706
- Inter-model comparison of global hydroxyl radical (OH) distributions and their impact on atmospheric methane over the 2000–2016 period Y. Zhao et al. 10.5194/acp-19-13701-2019
- Environmental effects of stratospheric ozone depletion, UV radiation, and interactions with climate change: UNEP Environmental Effects Assessment Panel, Update 2020 R. Neale et al. 10.1007/s43630-020-00001-x
- Interannual changes in atmospheric oxidation over forests determined from space J. Shutter et al. 10.1126/sciadv.adn1115
- 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
- Tropospheric ozone radiative forcing uncertainty due to pre-industrial fire and biogenic emissions M. Rowlinson et al. 10.5194/acp-20-10937-2020
- Influence of atmospheric parameters on human mortality data at different geographical levels J. Sánchez-Balseca & A. Pérez-Foguet 10.1016/j.scitotenv.2020.144186
- Multiscale Temporal Variations of Atmospheric Mercury Distinguished by the Hilbert–Huang Transform Analysis Reveals Multiple El Niño–Southern Oscillation Links L. Nguyen et al. 10.1021/acs.est.1c03819
- Carbon and Beyond: The Biogeochemistry of Climate in a Rapidly Changing Amazon K. Covey et al. 10.3389/ffgc.2021.618401
- Bottom-up evaluation of the regional methane budget of northern lands from 1980 to 2015 A. Ito 10.1016/j.polar.2020.100558
- Updated tropospheric chemistry reanalysis and emission estimates, TCR-2, for 2005–2018 K. Miyazaki et al. 10.5194/essd-12-2223-2020
- Interannual Variability of Air–Sea Exchange of Mercury in the Global Ocean: The “Seesaw Effect” in the Equatorial Pacific and Contributions to the Atmosphere S. Huang & Y. Zhang 10.1021/acs.est.1c00691
- Impact of the June 2018 Saddleworth Moor wildfires on air quality in northern England A. Graham et al. 10.1088/2515-7620/ab7b92
- Tropospheric ozone and its natural precursors impacted by climatic changes in emission and dynamics S. Dewan & A. Lakhani 10.3389/fenvs.2022.1007942
- Large and increasing methane emissions from eastern Amazonia derived from satellite data, 2010–2018 C. Wilson et al. 10.5194/acp-21-10643-2021
- A machine learning methodology for the generation of a parameterization of the hydroxyl radical D. Anderson et al. 10.5194/gmd-15-6341-2022
- Methyl Chloroform Continues to Constrain the Hydroxyl (OH) Variability in the Troposphere P. Patra et al. 10.1029/2020JD033862
- Investigating the global OH radical distribution using steady-state approximations and satellite data M. Pimlott et al. 10.5194/acp-22-10467-2022
- Global Atmospheric δ13CH4 and CH4 Trends for 2000–2020 from the Atmospheric Transport Model TM5 Using CH4 from Carbon Tracker Europe–CH4 Inversions V. Mannisenaho et al. 10.3390/atmos14071121
- CO and CH4 atmospheric trends from dense multi-point forest fires around the city of Chongqing using spaceborne spectrometer data Y. Wang et al. 10.1016/j.apr.2023.101807
- Large Enhancements in Southern Hemisphere Satellite‐Observed Trace Gases Due to the 2019/2020 Australian Wildfires R. Pope et al. 10.1029/2021JD034892
- Impact of interannual and multidecadal trends on methane-climate feedbacks and sensitivity C. Cheng & S. Redfern 10.1038/s41467-022-31345-w
- Ozone modelling and mapping for risk assessment: An overview of different approaches for human and ecosystems health A. De Marco et al. 10.1016/j.envres.2022.113048
- A Coupled CH4, CO and CO2 Simulation for Improved Chemical Source Modeling B. Bukosa et al. 10.3390/atmos14050764
- On the role of trend and variability in the hydroxyl radical (OH) in the global methane budget Y. Zhao et al. 10.5194/acp-20-13011-2020
- Evaluation of the Stratospheric Contribution to the Inter‐Annual Variabilities of Tropospheric Methane Growth Rates P. Zhang et al. 10.1029/2023GL103350
- The influences of El Niño–Southern Oscillation on tropospheric ozone in CMIP6 models T. Le et al. 10.5194/acp-24-6555-2024
- ENSO Teleconnection to Interannual Variability in Carbon Monoxide Over the North Atlantic European Region in Spring Y. Liu et al. 10.3389/fenvs.2022.894779
- Quantifying the tropospheric ozone radiative effect and its temporal evolution in the satellite era R. Pope et al. 10.5194/acp-24-3613-2024
- Examining ENSO-related variability in tropical tropospheric ozone in the RAQMS-Aura chemical reanalysis M. Bruckner et al. 10.5194/acp-24-10921-2024
- What caused large ozone variabilities in three megacity clusters in eastern China during 2015–2020? T. Hu et al. 10.5194/acp-24-1607-2024
31 citations as recorded by crossref.
- Effects of Chemical Feedbacks on Decadal Methane Emissions Estimates N. Nguyen et al. 10.1029/2019GL085706
- Inter-model comparison of global hydroxyl radical (OH) distributions and their impact on atmospheric methane over the 2000–2016 period Y. Zhao et al. 10.5194/acp-19-13701-2019
- Environmental effects of stratospheric ozone depletion, UV radiation, and interactions with climate change: UNEP Environmental Effects Assessment Panel, Update 2020 R. Neale et al. 10.1007/s43630-020-00001-x
- Interannual changes in atmospheric oxidation over forests determined from space J. Shutter et al. 10.1126/sciadv.adn1115
- 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
- Tropospheric ozone radiative forcing uncertainty due to pre-industrial fire and biogenic emissions M. Rowlinson et al. 10.5194/acp-20-10937-2020
- Influence of atmospheric parameters on human mortality data at different geographical levels J. Sánchez-Balseca & A. Pérez-Foguet 10.1016/j.scitotenv.2020.144186
- Multiscale Temporal Variations of Atmospheric Mercury Distinguished by the Hilbert–Huang Transform Analysis Reveals Multiple El Niño–Southern Oscillation Links L. Nguyen et al. 10.1021/acs.est.1c03819
- Carbon and Beyond: The Biogeochemistry of Climate in a Rapidly Changing Amazon K. Covey et al. 10.3389/ffgc.2021.618401
- Bottom-up evaluation of the regional methane budget of northern lands from 1980 to 2015 A. Ito 10.1016/j.polar.2020.100558
- Updated tropospheric chemistry reanalysis and emission estimates, TCR-2, for 2005–2018 K. Miyazaki et al. 10.5194/essd-12-2223-2020
- Interannual Variability of Air–Sea Exchange of Mercury in the Global Ocean: The “Seesaw Effect” in the Equatorial Pacific and Contributions to the Atmosphere S. Huang & Y. Zhang 10.1021/acs.est.1c00691
- Impact of the June 2018 Saddleworth Moor wildfires on air quality in northern England A. Graham et al. 10.1088/2515-7620/ab7b92
- Tropospheric ozone and its natural precursors impacted by climatic changes in emission and dynamics S. Dewan & A. Lakhani 10.3389/fenvs.2022.1007942
- Large and increasing methane emissions from eastern Amazonia derived from satellite data, 2010–2018 C. Wilson et al. 10.5194/acp-21-10643-2021
- A machine learning methodology for the generation of a parameterization of the hydroxyl radical D. Anderson et al. 10.5194/gmd-15-6341-2022
- Methyl Chloroform Continues to Constrain the Hydroxyl (OH) Variability in the Troposphere P. Patra et al. 10.1029/2020JD033862
- Investigating the global OH radical distribution using steady-state approximations and satellite data M. Pimlott et al. 10.5194/acp-22-10467-2022
- Global Atmospheric δ13CH4 and CH4 Trends for 2000–2020 from the Atmospheric Transport Model TM5 Using CH4 from Carbon Tracker Europe–CH4 Inversions V. Mannisenaho et al. 10.3390/atmos14071121
- CO and CH4 atmospheric trends from dense multi-point forest fires around the city of Chongqing using spaceborne spectrometer data Y. Wang et al. 10.1016/j.apr.2023.101807
- Large Enhancements in Southern Hemisphere Satellite‐Observed Trace Gases Due to the 2019/2020 Australian Wildfires R. Pope et al. 10.1029/2021JD034892
- Impact of interannual and multidecadal trends on methane-climate feedbacks and sensitivity C. Cheng & S. Redfern 10.1038/s41467-022-31345-w
- Ozone modelling and mapping for risk assessment: An overview of different approaches for human and ecosystems health A. De Marco et al. 10.1016/j.envres.2022.113048
- A Coupled CH4, CO and CO2 Simulation for Improved Chemical Source Modeling B. Bukosa et al. 10.3390/atmos14050764
- On the role of trend and variability in the hydroxyl radical (OH) in the global methane budget Y. Zhao et al. 10.5194/acp-20-13011-2020
- Evaluation of the Stratospheric Contribution to the Inter‐Annual Variabilities of Tropospheric Methane Growth Rates P. Zhang et al. 10.1029/2023GL103350
- The influences of El Niño–Southern Oscillation on tropospheric ozone in CMIP6 models T. Le et al. 10.5194/acp-24-6555-2024
- ENSO Teleconnection to Interannual Variability in Carbon Monoxide Over the North Atlantic European Region in Spring Y. Liu et al. 10.3389/fenvs.2022.894779
- Quantifying the tropospheric ozone radiative effect and its temporal evolution in the satellite era R. Pope et al. 10.5194/acp-24-3613-2024
- Examining ENSO-related variability in tropical tropospheric ozone in the RAQMS-Aura chemical reanalysis M. Bruckner et al. 10.5194/acp-24-10921-2024
- What caused large ozone variabilities in three megacity clusters in eastern China during 2015–2020? T. Hu et al. 10.5194/acp-24-1607-2024
Latest update: 14 Dec 2024
Short summary
Wildfires and meteorology have a substantial effect on atmospheric concentrations of greenhouse gases such as methane and ozone. During the 1997 El Niño event, unusually large fire emissions indirectly increased global methane through carbon monoxide emission, which decreased the oxidation capacity of the atmosphere. There were also large regional changes to tropospheric ozone concentrations, but contrasting effects of fire and meteorology resulted in a small change to global radiative forcing.
Wildfires and meteorology have a substantial effect on atmospheric concentrations of greenhouse...
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