Articles | Volume 22, issue 3
https://doi.org/10.5194/acp-22-2121-2022
© Author(s) 2022. 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-22-2121-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Feb 2022
Research article |
| 15 Feb 2022
| 15 Feb 2022
Using carbon-14 and carbon-13 measurements for source attribution of atmospheric methane in the Athabasca oil sands region
Regina Gonzalez Moguel
CORRESPONDING AUTHOR
Earth and Planetary Sciences Department, McGill University, Geotop Research Center, Montreal, Canada
Felix Vogel
Environment and Climate Change Canada, Climate research division, Toronto, Canada
Sébastien Ars
Environment and Climate Change Canada, Climate research division, Toronto, Canada
Hinrich Schaefer
National Institute for Water and Atmospheric Research of New Zealand, Wellington, New Zealand
Jocelyn C. Turnbull
GNS Science, Lower Hutt, New Zealand
CIRES, University of Colorado at Boulder, Boulder, Colorado, USA
Peter M. J. Douglas
CORRESPONDING AUTHOR
Earth and Planetary Sciences Department, McGill University, Geotop Research Center, Montreal, Canada
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Hanyu Liu, Misa Ishizawa, Felix R. Vogel, Zhen Zhang, Benjamin Poulter, Leyang Feng, Ao Chen, Anna L. Gagné-Landmann, Deborah N. Huntzinger, Joe R. Melton, Vineet Yadav, Dylan C. Gaeta, Ziting Huang, Douglas E. J. Worthy, Douglas Chan, and Scot M. Miller
Atmos. Chem. Phys., 26, 1229–1247, https://doi.org/10.5194/acp-26-1229-2026, https://doi.org/10.5194/acp-26-1229-2026, 2026
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We find that the state-of-the-art process-based methane flux models have both lower flux magnitude and reduced inter-model uncertainty compared to a previous model inter-comparison from over a decade ago. Despite these improvements, methane flux estimates from process-based models are still likely too high compared to atmospheric observations. We also find that models with simpler parameterizations often result in better agreement with atmospheric observations in high-latitude North America.
Shoma Yamanouchi, Sebastien Ars, Meghan Flood, Lawson Gillespie, Jordan Stuart, Kiran Ramlogan, and Felix Vogel
EGUsphere, https://doi.org/10.5194/egusphere-2025-5086, https://doi.org/10.5194/egusphere-2025-5086, 2026
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
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Methane is a potent greenhouse gas. In this study, Gaussian plume model, a simple, computationally inexpensive modeling method, was used in conjunction with measurements of atmospheric methane concentrations to estimate emissions of methane from refineries and waste treatment facilities. This study also presents novel methods to improve the model, including a method to better describe the atmosphere, as well as an algorithmic way to nudge source locations to get better emission estimates.
Sara M. Defratyka, Julianne M. Fernandez, Getachew A. Adnew, Guannan Dong, Peter M. J. Douglas, Daniel L. Eldridge, Giuseppe Etiope, Thomas Giunta, Mojhgan A. Haghnegahdar, Alexander N. Hristov, Nicole Hultquist, Iñaki Vadillo, Josue Jautzy, Ji-Hyun Kim, Jabrane Labidi, Ellen Lalk, Wil Leavitt, Jiawen Li, Li-Hung Lin, Jiarui Liu, Lucía Ojeda, Shuhei Ono, Jeemin H. Rhim, Thomas Röckmann, Barbara Sherwood Lollar, Malavika Sivan, Jiayang Sun, Gregory T. Ventura, David T. Wang, Edward D. Young, Naizhong Zhang, and Tim Arnold
Earth Syst. Sci. Data, 17, 6889–6910, https://doi.org/10.5194/essd-17-6889-2025, https://doi.org/10.5194/essd-17-6889-2025, 2025
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Measurement of methane’s doubly substituted isotopologues at natural abundances holds promise for better constraining the Earth’s atmospheric CH4 budget. We compiled 1475 measurements from field samples and laboratory experiments, conducted since 2014, to facilitate the differentiation of CH4 formation pathways and processes, to identify existing gaps limiting application of Δ13CH3D and Δ12CH2D2, and to develop isotope ratio source signature inputs for global CH4 flux modelling.
Benjamin Gwinneth, Kevin Johnston, Andy Breckenridge, and Peter M. J. Douglas
Biogeosciences, 22, 7079–7088, https://doi.org/10.5194/bg-22-7079-2025, https://doi.org/10.5194/bg-22-7079-2025, 2025
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Over time, traces of humans, fire, and plants accumulate at the bottom of lakes. They reveal the history of how the lowland Maya, a society thought to have declined due to drought, transformed their environment over time. We show how forest was cleared, agriculture expanded, and population levels rose then declined. However, the record does not show drought even though population declines. This challenges the idea that climate was the primary cause of the societal changes.
Scott D. Chambers, Ute Karstens, Alan D. Griffiths, Stefan Röttger, Arnoud Frumau, Christopher T. Roulston, Peter Sperlich, Felix Vogel, Agnieszka Podstawczyńska, Dafina Kikaj, Maksym Gachkivskyi, Michel Ramonet, Blagoj Mitrevski, Janja Vaupotič, Xuemeng Chen, and Annette Röttger
EGUsphere, https://doi.org/10.5194/egusphere-2025-5042, https://doi.org/10.5194/egusphere-2025-5042, 2025
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
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The Radon Tracer Method (RTM) is a top-down approach to estimate greenhouse gas emissions. While simple in principle, incorrect use can complicate interpretation of results. Based on observations from a range of contrasting sites, this article reviews the underlying assumptions and key considerations for applying the RTM. It also introduces the concept of coupling RTM analyses with nocturnal stability classification, to reduce uncertainty of fetch estimates and improve interpretation of results.
Marjolaine Verret, Sebastian Naeher, Denis Lacelle, Catherine Ginnane, Warren Dickinson, Kevin Norton, Jocelyn Turnbull, and Richard Levy
Biogeosciences, 22, 5771–5786, https://doi.org/10.5194/bg-22-5771-2025, https://doi.org/10.5194/bg-22-5771-2025, 2025
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15 million years ago, the McMurdo Dry Valleys of Antarctica were dominated by a tundra environment. In contrast, the modern environment is amongst the coldest and driest on Earth. Using a permafrost core, this paper investigates the shift from a tundra- to a bacteria-dominated landscape. By differentiating between ancient and modern organic material, we further our understanding of preservation of ancient organic material and its response and contribution to future climate change.
Christian Lewis, Rachel Corran, Sara E. Mikaloff-Fletcher, Erik Behrens, Rowena Moss, Gordon Brailsford, Andrew Lorrey, Margaret Norris, and Jocelyn Turnbull
Biogeosciences, 22, 4187–4201, https://doi.org/10.5194/bg-22-4187-2025, https://doi.org/10.5194/bg-22-4187-2025, 2025
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The Southern Ocean carbon sink is a balance between two opposing forces: CO2 absorption at mid-latitudes and CO2 outgassing at high latitudes. Radiocarbon analysis can be used to constrain the latter, as upwelling waters outgas old CO2, diluting atmospheric radiocarbon content. We present tree-ring radiocarbon measurements from Aotearoa / New Zealand and Chile. We show that low radiocarbon in Aotearoa / New Zealand’s Motu Ihupuku / Campbell Island is linked to outgassing in the critical Antarctic Southern Zone.
Olga Albot, Joshua Ratcliffe, Richard Levy, Sebastian Naeher, Daniel King, Catherine Ginnane, Jocelyn Turnbull, Mary Jill Ira Banta, Christopher Wood, Jenny Dahl, Jannine Cooper, and Andy Phillips
EGUsphere, https://doi.org/10.5194/egusphere-2025-2949, https://doi.org/10.5194/egusphere-2025-2949, 2025
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Saltmarshes store carbon in their soils, contributing to climate change mitigation. We analysed five sites across Aotearoa New Zealand and found that carbon storage varies widely with land use and sediment inputs. Plant material was a major source of carbon in the soil and has been preserved for several centuries. Restoration increased soil carbon accumulation at two sites. These results improve national blue carbon estimates and highlight the role of saltmarshes as natural climate solutions.
Judith Tettenborn, Daniel Zavala-Araiza, Daan Stroeken, Hossein Maazallahi, Carina van der Veen, Arjan Hensen, Ilona Velzeboer, Pim van den Bulk, Felix Vogel, Lawson Gillespie, Sebastien Ars, James France, David Lowry, Rebecca Fisher, and Thomas Röckmann
Atmos. Meas. Tech., 18, 3569–3584, https://doi.org/10.5194/amt-18-3569-2025, https://doi.org/10.5194/amt-18-3569-2025, 2025
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Measurements of methane with vehicle-based sensors are an effective method to identify and quantify leaks from urban gas distribution systems. We deliberately released methane in different environments and calibrated the response of different methane analysers when they transected the plumes in a vehicle. We derived an improved statistical function for consistent emission estimations using different instruments. Repeated transects reduce the uncertainty in emission rate estimates.
Beata Bukosa, Sara Mikaloff-Fletcher, Gordon Brailsford, Dan Smale, Elizabeth D. Keller, W. Troy Baisden, Miko U. F. Kirschbaum, Donna L. Giltrap, Lìyǐn Liáng, Stuart Moore, Rowena Moss, Sylvia Nichol, Jocelyn Turnbull, Alex Geddes, Daemon Kennett, Dóra Hidy, Zoltán Barcza, Louis A. Schipper, Aaron M. Wall, Shin-Ichiro Nakaoka, Hitoshi Mukai, and Andrea Brandon
Atmos. Chem. Phys., 25, 6445–6473, https://doi.org/10.5194/acp-25-6445-2025, https://doi.org/10.5194/acp-25-6445-2025, 2025
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We used atmospheric measurements and inverse modelling to estimate New Zealand's carbon dioxide (CO2) emissions and removals from 2011 to 2020. Our study reveals that New Zealand's land absorbs more CO2 than previously estimated, particularly in areas dominated by indigenous forests. Our results highlight gaps in current national CO2 estimates and methods, suggesting a need for further research to improve emissions reports and refine approaches to track progress toward climate mitigation goals.
Alexie Roy-Lafontaine, Rebecca Lee, Peter M. J. Douglas, Dustin Whalen, and André Pellerin
EGUsphere, https://doi.org/10.5194/egusphere-2025-2570, https://doi.org/10.5194/egusphere-2025-2570, 2025
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As Arctic coastlines change with the climate, we studied how these changes might affect methane release, a powerful greenhouse gas. We found that coastal sediments can produce a lot of methane, even when exposed to seawater, which was thought to prevent it. This suggests that Arctic coasts could be an overlooked source of methane to the atmosphere as the climate continues to warm and sea levels rise.
Aelis Spiller, Cynthia M. Kallenbach, Melanie S. Burnett, David Olefeldt, Christopher Schulze, Roxane Maranger, and Peter M. J. Douglas
SOIL, 11, 371–379, https://doi.org/10.5194/soil-11-371-2025, https://doi.org/10.5194/soil-11-371-2025, 2025
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Permafrost peatlands are large reservoirs of carbon. As frozen permafrost thaws, drier peat moisture conditions can arise, affecting the microbial production of climate-warming greenhouse gases like CO2 and N2O. Our study suggests that future peat CO2 and N2O production depends on whether drier peat plateaus thaw into wetter fens or bogs and on their diverging responses of peat respiration to more moisture-limited conditions.
Misa Ishizawa, Douglas Chan, Doug Worthy, Elton Chan, Felix Vogel, Joe R. Melton, and Vivek K. Arora
Atmos. Chem. Phys., 24, 10013–10038, https://doi.org/10.5194/acp-24-10013-2024, https://doi.org/10.5194/acp-24-10013-2024, 2024
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Methane (CH4) emissions in Canada for 2007–2017 were estimated using Canada’s surface greenhouse gas measurements. The estimated emissions show no significant trend, but emission uncertainty was reduced as more measurement sites became available. Notably for climate change, we find the wetland CH4 emissions show a positive correlation with surface air temperature in summer. Canada’s measurement network could monitor future CH4 emission changes and compliance with climate change mitigation goals.
Pramod Kumar, Christopher Caldow, Grégoire Broquet, Adil Shah, Olivier Laurent, Camille Yver-Kwok, Sebastien Ars, Sara Defratyka, Susan Warao Gichuki, Luc Lienhardt, Mathis Lozano, Jean-Daniel Paris, Felix Vogel, Caroline Bouchet, Elisa Allegrini, Robert Kelly, Catherine Juery, and Philippe Ciais
Atmos. Meas. Tech., 17, 1229–1250, https://doi.org/10.5194/amt-17-1229-2024, https://doi.org/10.5194/amt-17-1229-2024, 2024
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This study presents a series of mobile measurement campaigns to monitor the CH4 emissions from an active landfill. These measurements are processed using a Gaussian plume model and atmospheric inversion techniques to quantify the landfill CH4 emissions. The methane emission estimates range between ~0.4 and ~7 t CH4 per day, and their variations are analyzed. The robustness of the estimates is assessed depending on the distance of the measurements from the potential sources in the landfill.
Douglas E. J. Worthy, Michele K. Rauh, Lin Huang, Felix R. Vogel, Alina Chivulescu, Kenneth A. Masarie, Ray L. Langenfelds, Paul B. Krummel, Colin E. Allison, Andrew M. Crotwell, Monica Madronich, Gabrielle Pétron, Ingeborg Levin, Samuel Hammer, Sylvia Michel, Michel Ramonet, Martina Schmidt, Armin Jordan, Heiko Moossen, Michael Rothe, Ralph Keeling, and Eric J. Morgan
Atmos. Meas. Tech., 16, 5909–5935, https://doi.org/10.5194/amt-16-5909-2023, https://doi.org/10.5194/amt-16-5909-2023, 2023
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Network compatibility is important for inferring greenhouse gas fluxes at global or regional scales. This study is the first assessment of the measurement agreement among seven individual programs within the World Meteorological Organization community. It compares co-located flask air measurements at the Alert Observatory in Canada over a 17-year period. The results provide stronger confidence in the uncertainty estimation while using those datasets in various data interpretation applications.
Jonathan Obrist-Farner, Andreas Eckert, Peter M. J. Douglas, Liseth Perez, Alex Correa-Metrio, Bronwen L. Konecky, Thorsten Bauersachs, Susan Zimmerman, Stephanie Scheidt, Mark Brenner, Steffen Kutterolf, Jeremy Maurer, Omar Flores, Caroline M. Burberry, Anders Noren, Amy Myrbo, Matthew Lachniet, Nigel Wattrus, Derek Gibson, and the LIBRE scientific team
Sci. Dril., 32, 85–100, https://doi.org/10.5194/sd-32-85-2023, https://doi.org/10.5194/sd-32-85-2023, 2023
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In August 2022, 65 scientists from 13 countries gathered in Antigua, Guatemala, for a workshop, co-funded by the US National Science Foundation and the International Continental Scientific Drilling Program. This workshop considered the potential of establishing a continental scientific drilling program in the Lake Izabal Basin, eastern Guatemala, with the goals of establishing a borehole observatory and investigating one of the longest continental records from the northern Neotropics.
Lawson David Gillespie, Sébastien Ars, James Phillip Williams, Louise Klotz, Tianjie Feng, Stephanie Gu, Mishaal Kandapath, Amy Mann, Michael Raczkowski, Mary Kang, Felix Vogel, and Debra Wunch
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2023-193, https://doi.org/10.5194/amt-2023-193, 2023
Preprint withdrawn
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We investigate techniques for calculating emissions from mobile in situ gas concentrations recorded during downwind plume transects. We find that using the enhancement area to estimate emissions is the most consistent method when comparing different setups and instruments. Observations from a multi year urban methane survey and controlled release experiment are analyzed, and emissions rates for combined sewage overflow basins and a large wastewater treatment plant in Toronto are calculated.
Nasrin Mostafavi Pak, Jacob K. Hedelius, Sébastien Roche, Liz Cunningham, Bianca Baier, Colm Sweeney, Coleen Roehl, Joshua Laughner, Geoffrey Toon, Paul Wennberg, Harrison Parker, Colin Arrowsmith, Joseph Mendonca, Pierre Fogal, Tyler Wizenberg, Beatriz Herrera, Kimberly Strong, Kaley A. Walker, Felix Vogel, and Debra Wunch
Atmos. Meas. Tech., 16, 1239–1261, https://doi.org/10.5194/amt-16-1239-2023, https://doi.org/10.5194/amt-16-1239-2023, 2023
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Ground-based remote sensing instruments in the Total Carbon Column Observing Network (TCCON) measure greenhouse gases in the atmosphere. Consistency between TCCON measurements is crucial to accurately infer changes in atmospheric composition. We use portable remote sensing instruments (EM27/SUN) to evaluate biases between TCCON stations in North America. We also improve the retrievals of EM27/SUN instruments and evaluate the previous (GGG2014) and newest (GGG2020) retrieval algorithms.
Carlos Alberti, Frank Hase, Matthias Frey, Darko Dubravica, Thomas Blumenstock, Angelika Dehn, Paolo Castracane, Gregor Surawicz, Roland Harig, Bianca C. Baier, Caroline Bès, Jianrong Bi, Hartmut Boesch, André Butz, Zhaonan Cai, Jia Chen, Sean M. Crowell, Nicholas M. Deutscher, Dragos Ene, Jonathan E. Franklin, Omaira García, David Griffith, Bruno Grouiez, Michel Grutter, Abdelhamid Hamdouni, Sander Houweling, Neil Humpage, Nicole Jacobs, Sujong Jeong, Lilian Joly, Nicholas B. Jones, Denis Jouglet, Rigel Kivi, Ralph Kleinschek, Morgan Lopez, Diogo J. Medeiros, Isamu Morino, Nasrin Mostafavipak, Astrid Müller, Hirofumi Ohyama, Paul I. Palmer, Mahesh Pathakoti, David F. Pollard, Uwe Raffalski, Michel Ramonet, Robbie Ramsay, Mahesh Kumar Sha, Kei Shiomi, William Simpson, Wolfgang Stremme, Youwen Sun, Hiroshi Tanimoto, Yao Té, Gizaw Mengistu Tsidu, Voltaire A. Velazco, Felix Vogel, Masataka Watanabe, Chong Wei, Debra Wunch, Marcia Yamasoe, Lu Zhang, and Johannes Orphal
Atmos. Meas. Tech., 15, 2433–2463, https://doi.org/10.5194/amt-15-2433-2022, https://doi.org/10.5194/amt-15-2433-2022, 2022
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Space-borne greenhouse gas missions require ground-based validation networks capable of providing fiducial reference measurements. Here, considerable refinements of the calibration procedures for the COllaborative Carbon Column Observing Network (COCCON) are presented. Laboratory and solar side-by-side procedures for the characterization of the spectrometers have been refined and extended. Revised calibration factors for XCO2, XCO and XCH4 are provided, incorporating 47 new spectrometers.
Peter M. J. Douglas, Emerald Stratigopoulos, Sanga Park, and Dawson Phan
Biogeosciences, 18, 3505–3527, https://doi.org/10.5194/bg-18-3505-2021, https://doi.org/10.5194/bg-18-3505-2021, 2021
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Hydrogen isotopes could be a useful tool to help resolve the geographic distribution of methane emissions from freshwater environments. We analyzed an expanded global dataset of freshwater methane hydrogen isotope ratios and found significant geographic variation linked to water isotopic composition. This geographic variability could be used to resolve changing methane fluxes from freshwater environments and provide more accurate estimates of the relative balance of global methane sources.
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Short summary
Evaluating methane (CH4) sources in the Athabasca oil sands region (AOSR) is crucial to effectively mitigate CH4 emissions. We tested the use of carbon isotopes to estimate source contributions from key CH4 sources in the AOSR and found that 56 ± 18 % of CH4 emissions originated from surface mining and processing facilities, 34 ± 18 % from tailings ponds, and 10 ± < 1 % from wetlands, confirming previous findings and showing that this method can be successfully used to partition CH4 sources.
Evaluating methane (CH4) sources in the Athabasca oil sands region (AOSR) is crucial to...
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