Articles | Volume 20, issue 15
https://doi.org/10.5194/acp-20-9525-2020
© 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-20-9525-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Influences of hydroxyl radicals (OH) on top-down estimates of the global and regional methane budgets
Yuanhong Zhao
CORRESPONDING AUTHOR
Laboratoire des Sciences du Climat et de l'Environnement, LSCE-IPSL
(CEA-CNRS-UVSQ), Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Marielle Saunois
Laboratoire des Sciences du Climat et de l'Environnement, LSCE-IPSL
(CEA-CNRS-UVSQ), Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Philippe Bousquet
Laboratoire des Sciences du Climat et de l'Environnement, LSCE-IPSL
(CEA-CNRS-UVSQ), Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Laboratoire des Sciences du Climat et de l'Environnement, LSCE-IPSL
(CEA-CNRS-UVSQ), Université Paris-Saclay, 91191 Gif-sur-Yvette, France
now at: Climate and Space Sciences and Engineering, University of
Michigan, Ann Arbor, MI 48109, USA
Antoine Berchet
Laboratoire des Sciences du Climat et de l'Environnement, LSCE-IPSL
(CEA-CNRS-UVSQ), Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Michaela I. Hegglin
Department of Meteorology, University of Reading, Reading, RG6 6LA,
UK
Josep G. Canadell
Global Carbon Project, CSIRO Oceans and Atmosphere, Canberra,
Australian Capital Territory 2601, Australia
Robert B. Jackson
Earth System Science Department, Woods Institute for the Environment,
and Precourt Institute for Energy, Stanford University, Stanford, CA 94305,
USA
Edward J. Dlugokencky
NOAA ESRL, 325 Broadway, Boulder, CO 80305, USA
Ray L. Langenfelds
Climate Science Centre, CSIRO Oceans and Atmosphere, Aspendale,
Victoria 3195, Australia
Michel Ramonet
Laboratoire des Sciences du Climat et de l'Environnement, LSCE-IPSL
(CEA-CNRS-UVSQ), Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Doug Worthy
Environment and Climate Change Canada, Toronto, M3H 5T4, Canada
Laboratoire des Sciences du Climat et de l'Environnement, LSCE-IPSL
(CEA-CNRS-UVSQ), Université Paris-Saclay, 91191 Gif-sur-Yvette, France
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- Removal of Atmospheric Methane by Increasing Hydroxyl Radicals via a Water Vapor Enhancement Strategy Y. Liu et al. 10.3390/atmos15091046
- Assimilation of GOSAT Methane in the Hemispheric CMAQ; Part II: Results Using Optimal Error Statistics S. Voshtani et al. 10.3390/rs14020375
- Decadal Methane Emission Trend Inferred from Proxy GOSAT XCH4 Retrievals: Impacts of Transport Model Spatial Resolution S. Zhu et al. 10.1007/s00376-022-1434-6
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- Long-term atmospheric emissions for the Coal Oil Point natural marine hydrocarbon seep field, offshore California I. Leifer et al. 10.5194/acp-21-17607-2021
- 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
- Rapid shift in methane carbon isotopes suggests microbial emissions drove record high atmospheric methane growth in 2020–2022 S. Michel et al. 10.1073/pnas.2411212121
- Global natural and anthropogenic methane emissions with approaches, potentials, economic costs, and social benefits of reductions: Review and outlook Z. Qi & R. Feng 10.1016/j.jenvman.2024.123568
- Global assessment of oil and gas methane ultra-emitters T. Lauvaux et al. 10.1126/science.abj4351
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- Sustained methane emissions from China after 2012 despite declining coal production and rice-cultivated area J. Sheng et al. 10.1088/1748-9326/ac24d1
- Unveiling the drivers of atmospheric methane variability in Iran: A 20-year exploration using spatiotemporal modeling and machine learning S. Mousavi et al. 10.1016/j.envc.2024.100946
- How do Cl concentrations matter for the simulation of CH4 and δ13C(CH4) and estimation of the CH4 budget through atmospheric inversions? J. Thanwerdas et al. 10.5194/acp-22-15489-2022
- Plant gross primary production, plant respiration and carbonyl sulfide emissions over the globe inferred by atmospheric inverse modelling M. Remaud et al. 10.5194/acp-22-2525-2022
- Investigation of the renewed methane growth post-2007 with high-resolution 3-D variational inverse modeling and isotopic constraints J. Thanwerdas et al. 10.5194/acp-24-2129-2024
- Human activities now fuel two-thirds of global methane emissions R. Jackson et al. 10.1088/1748-9326/ad6463
- Methane removal and the proportional reductions in surface temperature and ozone S. Abernethy et al. 10.1098/rsta.2021.0104
- Methyl Chloroform Continues to Constrain the Hydroxyl (OH) Variability in the Troposphere P. Patra et al. 10.1029/2020JD033862
- City-scale methane emissions from the midstream oil and gas industry: A satellite survey of the Zhoushan archipelago X. Yang et al. 10.1016/j.jclepro.2024.141673
1 citations as recorded by crossref.
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Short summary
The hydroxyl radical (OH), which is the dominant sink of methane (CH4), plays a key role in closing the global methane budget. This study quantifies how uncertainties in the hydroxyl radical can influence top-down estimates of CH4 emissions based on 4D Bayesian inversions with different OH fields and the same surface observations. We show that uncertainties in CH4 emissions driven by different OH fields are comparable to the uncertainties given by current bottom-up and top-down estimations.
The hydroxyl radical (OH), which is the dominant sink of methane (CH4), plays a key role in...
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