Articles | Volume 16, issue 23
https://doi.org/10.5194/acp-16-14891-2016
© 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-16-14891-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
01 Dec 2016
Research article |
| 01 Dec 2016
Using δ13C-CH4 and δD-CH4 to constrain Arctic methane emissions
Nicola J. Warwick
CORRESPONDING AUTHOR
National Centre for Atmospheric Science, NCAS, UK
Department of Chemistry, University of Cambridge, Lensfield Road,
Cambridge, CB2 1EW, UK
Michelle L. Cain
National Centre for Atmospheric Science, NCAS, UK
Rebecca Fisher
Department of Earth Sciences, Royal Holloway, University of London,
Egham, TW20 0EX, UK
James L. France
School of Environmental Sciences, University of East Anglia, Norwich,
NR4 7TJ, UK
David Lowry
Department of Earth Sciences, Royal Holloway, University of London,
Egham, TW20 0EX, UK
Sylvia E. Michel
Institute of Arctic and Alpine Research (INSTAAR), University of
Colorado, Boulder, CO 80309, USA
Euan G. Nisbet
Department of Earth Sciences, Royal Holloway, University of London,
Egham, TW20 0EX, UK
Bruce H. Vaughn
Institute of Arctic and Alpine Research (INSTAAR), University of
Colorado, Boulder, CO 80309, USA
James W. C. White
Institute of Arctic and Alpine Research (INSTAAR), University of
Colorado, Boulder, CO 80309, USA
John A. Pyle
National Centre for Atmospheric Science, NCAS, UK
Department of Chemistry, University of Cambridge, Lensfield Road,
Cambridge, CB2 1EW, UK
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Cited
32 citations as recorded by crossref.
- Young people's burden: requirement of negative CO<sub>2</sub> emissions J. Hansen et al. 10.5194/esd-8-577-2017
- Variational inverse modeling within the Community Inversion Framework v1.1 to assimilate <i>δ</i><sup>13</sup>C(CH<sub>4</sub>) and CH<sub>4</sub>: a case study with model LMDz-SACS J. Thanwerdas et al. 10.5194/gmd-15-4831-2022
- Estimating 2010–2015 anthropogenic and natural methane emissions in Canada using ECCC surface and GOSAT satellite observations S. Baray et al. 10.5194/acp-21-18101-2021
- Anthropogenic and Natural Factors Affecting Trends in Atmospheric Methane in Barrow, Alaska C. Lawrence & H. Mao 10.3390/atmos10040187
- Atmospheric methane and nitrous oxide: challenges alongthe path to Net Zero E. Nisbet et al. 10.1098/rsta.2020.0457
- Detectability of Arctic methane sources at six sites performing continuous atmospheric measurements T. Thonat et al. 10.5194/acp-17-8371-2017
- Using radon to quantify groundwater discharge and methane fluxes to a shallow, tundra lake on the Yukon-Kuskokwim Delta, Alaska J. Dabrowski et al. 10.1007/s10533-020-00647-w
- New contributions of measurements in Europe to the global inventory of the stable isotopic composition of methane M. Menoud et al. 10.5194/essd-14-4365-2022
- Methane sources from waste and natural gas sectors detected in Pune, India, by concentration and isotopic analysis A. Metya et al. 10.1016/j.scitotenv.2022.156721
- Global ocean methane emissions dominated by shallow coastal waters T. Weber et al. 10.1038/s41467-019-12541-7
- The Role of Emission Sources and Atmospheric Sink in the Seasonal Cycle of CH4 and δ13-CH4: Analysis Based on the Atmospheric Chemistry Transport Model TM5 V. Kangasaho et al. 10.3390/atmos13060888
- Methane Concentration and δ13C Isotopic Signature in Methane over Arctic Seas in Summer and Autumn 2020 N. Pankratova et al. 10.1134/S0001437022060108
- High-Resolution Estimation of Methane Emissions from Boreal and Pan-Arctic Wetlands Using Advanced Satellite Data Y. Albuhaisi et al. 10.3390/rs15133433
- Spatially Resolved Isotopic Source Signatures of Wetland Methane Emissions A. Ganesan et al. 10.1002/2018GL077536
- Anthropogenic emission is the main contributor to the rise of atmospheric methane during 1993–2017 Z. Zhang et al. 10.1093/nsr/nwab200
- Advancing Scientific Understanding of the Global Methane Budget in Support of the Paris Agreement A. Ganesan et al. 10.1029/2018GB006065
- Global and Regional CH4 Emissions for 1995–2013 Derived From Atmospheric CH4, δ13C‐CH4, and δD‐CH4 Observations and a Chemical Transport Model R. Fujita et al. 10.1029/2020JD032903
- Interpreting contemporary trends in atmospheric methane A. Turner et al. 10.1073/pnas.1814297116
- Assessment of the theoretical limit in instrumental detectability of northern high-latitude methane sources using <i>δ</i><sup>13</sup>C<sub>CH4</sub> atmospheric signals T. Thonat et al. 10.5194/acp-19-12141-2019
- Ship-Borne Observations of Atmospheric CH4 and δ13C Isotope Signature in Methane over Arctic Seas in Summer and Autumn 2021 N. Pankratova et al. 10.3390/atmos13030458
- 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
- Temporal Variations of the Mole Fraction, Carbon, and Hydrogen Isotope Ratios of Atmospheric Methane in the Hudson Bay Lowlands, Canada R. Fujita et al. 10.1002/2017JD027972
- The impact of spatially varying wetland source signatures on the atmospheric variability ofδD-CH4 A. Stell et al. 10.1098/rsta.2020.0442
- Isotopic signatures of methane emissions from tropical fires, agriculture and wetlands: the MOYA and ZWAMPS flights E. Nisbet et al. 10.1098/rsta.2021.0112
- 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
- Measurement of the 13C isotopic signature of methane emissions from northern European wetlands R. Fisher et al. 10.1002/2016GB005504
- Sensitivity of Methane Emissions to Later Soil Freezing in Arctic Tundra Ecosystems K. Arndt et al. 10.1029/2019JG005242
- Monthly gridded data product of northern wetland methane emissions based on upscaling eddy covariance observations O. Peltola et al. 10.5194/essd-11-1263-2019
- Using Machine Learning to Predict Inland Aquatic CO2 and CH4 Concentrations and the Effects of Wildfires in the Yukon‐Kuskokwim Delta, Alaska S. Ludwig et al. 10.1029/2021GB007146
- Using ship-borne observations of methane isotopic ratio in the Arctic Ocean to understand methane sources in the Arctic A. Berchet et al. 10.5194/acp-20-3987-2020
- Bottom-up evaluation of the regional methane budget of northern lands from 1980 to 2015 A. Ito 10.1016/j.polar.2020.100558
- Measurements and data processing of atmospheric CO2, CH4, H2O and δ13CCH4 mixing ratio during the ship campaign in the East Arctic and the Far East seas in autumn 2016 N. Pankratova et al. 10.1088/1755-1315/231/1/012041
31 citations as recorded by crossref.
- Young people's burden: requirement of negative CO<sub>2</sub> emissions J. Hansen et al. 10.5194/esd-8-577-2017
- Variational inverse modeling within the Community Inversion Framework v1.1 to assimilate <i>δ</i><sup>13</sup>C(CH<sub>4</sub>) and CH<sub>4</sub>: a case study with model LMDz-SACS J. Thanwerdas et al. 10.5194/gmd-15-4831-2022
- Estimating 2010–2015 anthropogenic and natural methane emissions in Canada using ECCC surface and GOSAT satellite observations S. Baray et al. 10.5194/acp-21-18101-2021
- Anthropogenic and Natural Factors Affecting Trends in Atmospheric Methane in Barrow, Alaska C. Lawrence & H. Mao 10.3390/atmos10040187
- Atmospheric methane and nitrous oxide: challenges alongthe path to Net Zero E. Nisbet et al. 10.1098/rsta.2020.0457
- Detectability of Arctic methane sources at six sites performing continuous atmospheric measurements T. Thonat et al. 10.5194/acp-17-8371-2017
- Using radon to quantify groundwater discharge and methane fluxes to a shallow, tundra lake on the Yukon-Kuskokwim Delta, Alaska J. Dabrowski et al. 10.1007/s10533-020-00647-w
- New contributions of measurements in Europe to the global inventory of the stable isotopic composition of methane M. Menoud et al. 10.5194/essd-14-4365-2022
- Methane sources from waste and natural gas sectors detected in Pune, India, by concentration and isotopic analysis A. Metya et al. 10.1016/j.scitotenv.2022.156721
- Global ocean methane emissions dominated by shallow coastal waters T. Weber et al. 10.1038/s41467-019-12541-7
- The Role of Emission Sources and Atmospheric Sink in the Seasonal Cycle of CH4 and δ13-CH4: Analysis Based on the Atmospheric Chemistry Transport Model TM5 V. Kangasaho et al. 10.3390/atmos13060888
- Methane Concentration and δ13C Isotopic Signature in Methane over Arctic Seas in Summer and Autumn 2020 N. Pankratova et al. 10.1134/S0001437022060108
- High-Resolution Estimation of Methane Emissions from Boreal and Pan-Arctic Wetlands Using Advanced Satellite Data Y. Albuhaisi et al. 10.3390/rs15133433
- Spatially Resolved Isotopic Source Signatures of Wetland Methane Emissions A. Ganesan et al. 10.1002/2018GL077536
- Anthropogenic emission is the main contributor to the rise of atmospheric methane during 1993–2017 Z. Zhang et al. 10.1093/nsr/nwab200
- Advancing Scientific Understanding of the Global Methane Budget in Support of the Paris Agreement A. Ganesan et al. 10.1029/2018GB006065
- Global and Regional CH4 Emissions for 1995–2013 Derived From Atmospheric CH4, δ13C‐CH4, and δD‐CH4 Observations and a Chemical Transport Model R. Fujita et al. 10.1029/2020JD032903
- Interpreting contemporary trends in atmospheric methane A. Turner et al. 10.1073/pnas.1814297116
- Assessment of the theoretical limit in instrumental detectability of northern high-latitude methane sources using <i>δ</i><sup>13</sup>C<sub>CH4</sub> atmospheric signals T. Thonat et al. 10.5194/acp-19-12141-2019
- Ship-Borne Observations of Atmospheric CH4 and δ13C Isotope Signature in Methane over Arctic Seas in Summer and Autumn 2021 N. Pankratova et al. 10.3390/atmos13030458
- 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
- Temporal Variations of the Mole Fraction, Carbon, and Hydrogen Isotope Ratios of Atmospheric Methane in the Hudson Bay Lowlands, Canada R. Fujita et al. 10.1002/2017JD027972
- The impact of spatially varying wetland source signatures on the atmospheric variability ofδD-CH4 A. Stell et al. 10.1098/rsta.2020.0442
- Isotopic signatures of methane emissions from tropical fires, agriculture and wetlands: the MOYA and ZWAMPS flights E. Nisbet et al. 10.1098/rsta.2021.0112
- 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
- Measurement of the 13C isotopic signature of methane emissions from northern European wetlands R. Fisher et al. 10.1002/2016GB005504
- Sensitivity of Methane Emissions to Later Soil Freezing in Arctic Tundra Ecosystems K. Arndt et al. 10.1029/2019JG005242
- Monthly gridded data product of northern wetland methane emissions based on upscaling eddy covariance observations O. Peltola et al. 10.5194/essd-11-1263-2019
- Using Machine Learning to Predict Inland Aquatic CO2 and CH4 Concentrations and the Effects of Wildfires in the Yukon‐Kuskokwim Delta, Alaska S. Ludwig et al. 10.1029/2021GB007146
- Using ship-borne observations of methane isotopic ratio in the Arctic Ocean to understand methane sources in the Arctic A. Berchet et al. 10.5194/acp-20-3987-2020
- Bottom-up evaluation of the regional methane budget of northern lands from 1980 to 2015 A. Ito 10.1016/j.polar.2020.100558
Discussed (final revised paper)
Latest update: 25 Apr 2024
Short summary
Methane is an important greenhouse gas. Methane emissions from Arctic wetlands are poorly quantified and may increase in a warming climate. Using a global atmospheric model and atmospheric observations of methane and its isotopologues, we find that isotopologue data are useful in constraining Arctic wetland emissions. Our results suggest that the seasonal cycle of these emissions may be incorrectly simulated in land process models, with implications for our understanding of future emissions.
Methane is an important greenhouse gas. Methane emissions from Arctic wetlands are poorly...
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