Articles | Volume 20, issue 20
https://doi.org/10.5194/acp-20-12033-2020
© 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-20-12033-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Oct 2020
Research article |
| 26 Oct 2020
| 26 Oct 2020
Observations of atmospheric 14CO2 at Anmyeondo GAW station, South Korea: implications for fossil fuel CO2 and emission ratios
National Institute of Meteorological Sciences, Jeju, 63568, Republic
of Korea
Atmospheric Chemistry Laboratory, Hankuk University of Foreign
Studies, Gyeonggi-do, 17035, Republic of Korea
Edward J. Dlugokencky
NOAA, Global Monitoring Laboratory, Boulder, Colorado 80305, USA
Jocelyn C. Turnbull
National Isotope Center, GNS Science, Lower Hutt, 5040, New Zealand
CIRES, University of Colorado, Boulder, Colorado 80305, USA
Sepyo Lee
National Institute of Meteorological Sciences, Jeju, 63568, Republic
of Korea
Scott J. Lehman
INSTAAR, University of Colorado, Boulder, Colorado 80305, USA
John B. Miller
NOAA, Global Monitoring Laboratory, Boulder, Colorado 80305, USA
Gabrielle Pétron
NOAA, Global Monitoring Laboratory, Boulder, Colorado 80305, USA
CIRES, University of Colorado, Boulder, Colorado 80305, USA
Jeong-Sik Lim
Korea Research Institute of Standard and Science, Daejeon, 34113,
Republic of Korea
Department of Science of Measurement, University of Science and Technology, Daejeon, 34113, Republic of
Korea
Gang-Woong Lee
Atmospheric Chemistry Laboratory, Hankuk University of Foreign
Studies, Gyeonggi-do, 17035, Republic of Korea
Sang-Sam Lee
National Institute of Meteorological Sciences, Jeju, 63568, Republic
of Korea
Young-San Park
National Institute of Meteorological Sciences, Jeju, 63568, Republic
of Korea
Related authors
Haeyoung Lee, Wonick Seo, Shanlan Li, Soojeong Lee, Samuel Takele Kenea, and Sangwon Joo
Atmos. Chem. Phys., 23, 7141–7159, https://doi.org/10.5194/acp-23-7141-2023, https://doi.org/10.5194/acp-23-7141-2023, 2023
Short summary
Short summary
We introduced three Korea Meteorological Administration (KMA) monitoring stations with monitoring systems and measurement uncertainty. We also analyzed the regional characteristics of CH4 at each KMA station. CH4 levels measured at KMA stations are compared to those measured at other Asian stations. From the long-term records of CH4 and δ13CH4 at AMY, we confirmed that the source of CH4xs changed from the past (2006 to 2010) to recent (2016 to 2020) years in East Asia.
Sourish Basu, Xin Lan, Edward Dlugokencky, Sylvia Michel, Stefan Schwietzke, John B. Miller, Lori Bruhwiler, Youmi Oh, Pieter P. Tans, Francesco Apadula, Luciana V. Gatti, Armin Jordan, Jaroslaw Necki, Motoki Sasakawa, Shinji Morimoto, Tatiana Di Iorio, Haeyoung Lee, Jgor Arduini, and Giovanni Manca
Atmos. Chem. Phys., 22, 15351–15377, https://doi.org/10.5194/acp-22-15351-2022, https://doi.org/10.5194/acp-22-15351-2022, 2022
Short summary
Short summary
Atmospheric methane (CH4) has been growing steadily since 2007 for reasons that are not well understood. Here we determine sources of methane using a technique informed by atmospheric measurements of CH4 and its isotopologue 13CH4. Measurements of 13CH4 provide for better separation of microbial, fossil, and fire sources of methane than CH4 measurements alone. Compared to previous assessments such as the Global Carbon Project, we find a larger microbial contribution to the post-2007 increase.
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
This preprint is open for discussion and under review for Biogeosciences (BG).
Short summary
Short summary
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.
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
Short summary
Short summary
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.
Santiago Botía, Saqr Munassar, Thomas Koch, Danilo Custodio, Luana S. Basso, Shujiro Komiya, Jost V. Lavric, David Walter, Manuel Gloor, Giordane Martins, Stijn Naus, Gerbrand Koren, Ingrid T. Luijkx, Stijn Hantson, John B. Miller, Wouter Peters, Christian Rödenbeck, and Christoph Gerbig
Atmos. Chem. Phys., 25, 6219–6255, https://doi.org/10.5194/acp-25-6219-2025, https://doi.org/10.5194/acp-25-6219-2025, 2025
Short summary
Short summary
This study uses dry CO2 mole fractions from the Amazon Tall Tower Observatory together with airborne profiles to estimate net carbon exchange in tropical South America. We found that the biogeographic Amazon is a net carbon sink, while the Cerrado and Caatinga biomes are net carbon sources, resulting in an overall neutral balance. Finally, to further reduce the uncertainty in our estimates we call for an expansion of the monitoring capacity, especially in the Amazon–Andes foothills.
Archana Dayalu, Marikate Mountain, Bharat Rastogi, John B. Miller, and Luciana Gatti
Biogeosciences, 22, 1509–1528, https://doi.org/10.5194/bg-22-1509-2025, https://doi.org/10.5194/bg-22-1509-2025, 2025
Short summary
Short summary
The Amazon is facing unprecedented disturbance. Determining trends in Amazonia's carbon balance and its sensitivity to disturbance requires reliable vegetation models that adequately capture how its ecosystems exchange carbon with the atmosphere. Using ground- and satellite-based ecosystem products, we present an improved model of land–atmosphere vegetation carbon exchange across the Amazon. Our model agrees with independent aircraft observations from different locations.
Bianca C. Baier, John B. Miller, Colm Sweeney, Scott Lehman, Chad Wolak, Joshua P. DiGangi, Yonghoon Choi, Kenneth Davis, Sha Feng, and Thomas Lauvaux
EGUsphere, https://doi.org/10.5194/egusphere-2025-821, https://doi.org/10.5194/egusphere-2025-821, 2025
Short summary
Short summary
CO2 radiocarbon content (Δ14CO2) is a unique tracer helps to accurately quantify anthropogenic CO2 emitted into the atmosphere. Δ14CO2 measured in airborne flask samples is used to distinguish fossil versus biogenic CO2 sources. Mid-Atlantic U.S. CO2 variability is found to be driven by the biosphere. Errors in modeled fossil fuel CO2 are evaluated using Δ14CO2 airborne data as an avenue to improving future regional models of atmospheric CO2 transport.
Marjolaine Verret, Sebastian Naeher, Denis Lacelle, Catherine Ginnane, Warren Dickinson, Kevin Norton, Jocelyn Turnbull, and Richard Levy
EGUsphere, https://doi.org/10.5194/egusphere-2025-786, https://doi.org/10.5194/egusphere-2025-786, 2025
Short summary
Short summary
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 Blair Lewis, Rachel Corran, Sara Mikaloff-Fletcher, Erik Behrens, Rowena Moss, Gordon Brailsford, Andrew Lorrey, Margaret Norris, and Jocelyn Turnbull
EGUsphere, https://doi.org/10.5194/egusphere-2024-4107, https://doi.org/10.5194/egusphere-2024-4107, 2025
Short summary
Short summary
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 New Zealand and Chile. We show that low radiocarbon in New Zealand’s Campbell Island is linked to outgassing in the critical Antarctic Southern Zone.
Gabrielle Pétron, Andrew M. Crotwell, John Mund, Molly Crotwell, Thomas Mefford, Kirk Thoning, Bradley Hall, Duane Kitzis, Monica Madronich, Eric Moglia, Donald Neff, Sonja Wolter, Armin Jordan, Paul Krummel, Ray Langenfelds, and John Patterson
Atmos. Meas. Tech., 17, 4803–4823, https://doi.org/10.5194/amt-17-4803-2024, https://doi.org/10.5194/amt-17-4803-2024, 2024
Short summary
Short summary
Hydrogen (H2) is a gas in trace amounts in the Earth’s atmosphere with indirect impacts on climate and air quality. Renewed interest in H2 as a low- or zero-carbon source of energy may lead to increased production, uses, and supply chain emissions. NOAA measurements of weekly air samples collected between 2009 and 2021 at over 50 sites in mostly remote locations are now available, and they complement other datasets to study the H2 global budget.
Joshua L. Laughner, Geoffrey C. Toon, Joseph Mendonca, Christof Petri, Sébastien Roche, Debra Wunch, Jean-Francois Blavier, David W. T. Griffith, Pauli Heikkinen, Ralph F. Keeling, Matthäus Kiel, Rigel Kivi, Coleen M. Roehl, Britton B. Stephens, Bianca C. Baier, Huilin Chen, Yonghoon Choi, Nicholas M. Deutscher, Joshua P. DiGangi, Jochen Gross, Benedikt Herkommer, Pascal Jeseck, Thomas Laemmel, Xin Lan, Erin McGee, Kathryn McKain, John Miller, Isamu Morino, Justus Notholt, Hirofumi Ohyama, David F. Pollard, Markus Rettinger, Haris Riris, Constantina Rousogenous, Mahesh Kumar Sha, Kei Shiomi, Kimberly Strong, Ralf Sussmann, Yao Té, Voltaire A. Velazco, Steven C. Wofsy, Minqiang Zhou, and Paul O. Wennberg
Earth Syst. Sci. Data, 16, 2197–2260, https://doi.org/10.5194/essd-16-2197-2024, https://doi.org/10.5194/essd-16-2197-2024, 2024
Short summary
Short summary
This paper describes a new version, called GGG2020, of a data set containing column-integrated observations of greenhouse and related gases (including CO2, CH4, CO, and N2O) made by ground stations located around the world. Compared to the previous version (GGG2014), improvements have been made toward site-to-site consistency. This data set plays a key role in validating space-based greenhouse gas observations and in understanding the carbon cycle.
Fabien Paulot, Gabrielle Pétron, Andrew M. Crotwell, and Matteo B. Bertagni
Atmos. Chem. Phys., 24, 4217–4229, https://doi.org/10.5194/acp-24-4217-2024, https://doi.org/10.5194/acp-24-4217-2024, 2024
Short summary
Short summary
New data from the National Oceanic and Atmospheric Administration show that hydrogen (H2) concentrations increased from 2010 to 2019, which is consistent with the simulated increase in H2 photochemical production (mainly from methane). But this cannot be reconciled with the expected decrease (increase) in H2 anthropogenic emissions (soil deposition) in the same period. This shows gaps in our knowledge of the H2 biogeochemical cycle that must be resolved to quantify the impact of higher H2 usage.
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
Short summary
Short summary
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.
John D. Patterson, Murat Aydin, Andrew M. Crotwell, Gabrielle Pétron, Jeffery P. Severinghaus, Paul B. Krummel, Ray L. Langenfelds, Vasilii V. Petrenko, and Eric S. Saltzman
Clim. Past, 19, 2535–2550, https://doi.org/10.5194/cp-19-2535-2023, https://doi.org/10.5194/cp-19-2535-2023, 2023
Short summary
Short summary
Atmospheric levels of molecular hydrogen (H2) can impact climate and air quality. Constraining past changes to atmospheric H2 is useful for understanding how H2 cycles through the Earth system and predicting the impacts of increasing anthropogenic emissions under the
hydrogen economy. Here, we use the aging air found in the polar snowpack to reconstruct H2 levels over the past 100 years. We find that H2 levels increased by 30 % over Greenland and 60 % over Antarctica during the 20th century.
Jinsol Kim, John B. Miller, Charles E. Miller, Scott J. Lehman, Sylvia E. Michel, Vineet Yadav, Nick E. Rollins, and William M. Berelson
Atmos. Chem. Phys., 23, 14425–14436, https://doi.org/10.5194/acp-23-14425-2023, https://doi.org/10.5194/acp-23-14425-2023, 2023
Short summary
Short summary
In this study, we present the partitioning of CO2 signals from biogenic, petroleum and natural gas sources by combining CO, 13CO2 and 14CO2 measurements. Using measurements from flask air samples at three sites in the greater Los Angeles region, we find larger and positive contributions of biogenic signals in winter and smaller and negative contributions in summer. The largest contribution of natural gas combustion generally occurs in summer.
Gifford H. Miller, Simon L. Pendleton, Alexandra Jahn, Yafang Zhong, John T. Andrews, Scott J. Lehman, Jason P. Briner, Jonathan H. Raberg, Helga Bueltmann, Martha Raynolds, Áslaug Geirsdóttir, and John R. Southon
Clim. Past, 19, 2341–2360, https://doi.org/10.5194/cp-19-2341-2023, https://doi.org/10.5194/cp-19-2341-2023, 2023
Short summary
Short summary
Receding Arctic ice caps reveal moss killed by earlier ice expansions; 186 moss kill dates from 71 ice caps cluster at 250–450, 850–1000 and 1240–1500 CE and continued expanding 1500–1880 CE, as recorded by regions of sparse vegetation cover, when ice caps covered > 11 000 km2 but < 100 km2 at present. The 1880 CE state approached conditions expected during the start of an ice age; climate models suggest this was only reversed by anthropogenic alterations to the planetary energy balance.
Junsu Gil, Meehye Lee, Jeonghwan Kim, Gangwoong Lee, Joonyoung Ahn, and Cheol-Hee Kim
Geosci. Model Dev., 16, 5251–5263, https://doi.org/10.5194/gmd-16-5251-2023, https://doi.org/10.5194/gmd-16-5251-2023, 2023
Short summary
Short summary
In this study, the framework for calculating reactive nitrogen species using a deep neural network (RND) was developed. It works through simple Python codes and provides high-accuracy reactive nitrogen oxide data. In the first version (RNDv1.0), the model calculates the nitrous acid (HONO) in urban areas, which has an important role in producing O3 and fine aerosol.
Luana S. Basso, Chris Wilson, Martyn P. Chipperfield, Graciela Tejada, Henrique L. G. Cassol, Egídio Arai, Mathew Williams, T. Luke Smallman, Wouter Peters, Stijn Naus, John B. Miller, and Manuel Gloor
Atmos. Chem. Phys., 23, 9685–9723, https://doi.org/10.5194/acp-23-9685-2023, https://doi.org/10.5194/acp-23-9685-2023, 2023
Short summary
Short summary
The Amazon’s carbon balance may have changed due to forest degradation, deforestation and warmer climate. We used an atmospheric model and atmospheric CO2 observations to quantify Amazonian carbon emissions (2010–2018). The region was a small carbon source to the atmosphere, mostly due to fire emissions. Forest uptake compensated for ~ 50 % of the fire emissions, meaning that the remaining forest is still a small carbon sink. We found no clear evidence of weakening carbon uptake over the period.
Haeyoung Lee, Wonick Seo, Shanlan Li, Soojeong Lee, Samuel Takele Kenea, and Sangwon Joo
Atmos. Chem. Phys., 23, 7141–7159, https://doi.org/10.5194/acp-23-7141-2023, https://doi.org/10.5194/acp-23-7141-2023, 2023
Short summary
Short summary
We introduced three Korea Meteorological Administration (KMA) monitoring stations with monitoring systems and measurement uncertainty. We also analyzed the regional characteristics of CH4 at each KMA station. CH4 levels measured at KMA stations are compared to those measured at other Asian stations. From the long-term records of CH4 and δ13CH4 at AMY, we confirmed that the source of CH4xs changed from the past (2006 to 2010) to recent (2016 to 2020) years in East Asia.
Beni Adi Trisna, Seungnam Park, Injun Park, Jeongsoon Lee, and Jeong Sik Lim
Atmos. Chem. Phys., 23, 4489–4500, https://doi.org/10.5194/acp-23-4489-2023, https://doi.org/10.5194/acp-23-4489-2023, 2023
Short summary
Short summary
An accurate estimate of radiative efficiency (RE) is substantial for an accurate assessment of global warming potential (GWP). In this study, we report accurate estimates of RE values of emerging greenhouse gases (GHGs) by using high-resolution Fourier transform infrared spectroscopy (FTIR). CF3OCFCF2 and CF3OCF2CF3 are reported for the first time. In addition, hidden errors in RE values of (CF3)2CFCN and CF3OCFCF2 in previous studies are pointed out.
Brendan Byrne, David F. Baker, Sourish Basu, Michael Bertolacci, Kevin W. Bowman, Dustin Carroll, Abhishek Chatterjee, Frédéric Chevallier, Philippe Ciais, Noel Cressie, David Crisp, Sean Crowell, Feng Deng, Zhu Deng, Nicholas M. Deutscher, Manvendra K. Dubey, Sha Feng, Omaira E. García, David W. T. Griffith, Benedikt Herkommer, Lei Hu, Andrew R. Jacobson, Rajesh Janardanan, Sujong Jeong, Matthew S. Johnson, Dylan B. A. Jones, Rigel Kivi, Junjie Liu, Zhiqiang Liu, Shamil Maksyutov, John B. Miller, Scot M. Miller, Isamu Morino, Justus Notholt, Tomohiro Oda, Christopher W. O'Dell, Young-Suk Oh, Hirofumi Ohyama, Prabir K. Patra, Hélène Peiro, Christof Petri, Sajeev Philip, David F. Pollard, Benjamin Poulter, Marine Remaud, Andrew Schuh, Mahesh K. Sha, Kei Shiomi, Kimberly Strong, Colm Sweeney, Yao Té, Hanqin Tian, Voltaire A. Velazco, Mihalis Vrekoussis, Thorsten Warneke, John R. Worden, Debra Wunch, Yuanzhi Yao, Jeongmin Yun, Andrew Zammit-Mangion, and Ning Zeng
Earth Syst. Sci. Data, 15, 963–1004, https://doi.org/10.5194/essd-15-963-2023, https://doi.org/10.5194/essd-15-963-2023, 2023
Short summary
Short summary
Changes in the carbon stocks of terrestrial ecosystems result in emissions and removals of CO2. These can be driven by anthropogenic activities (e.g., deforestation), natural processes (e.g., fires) or in response to rising CO2 (e.g., CO2 fertilization). This paper describes a dataset of CO2 emissions and removals derived from atmospheric CO2 observations. This pilot dataset informs current capabilities and future developments towards top-down monitoring and verification systems.
Lei Hu, Deborah Ottinger, Stephanie Bogle, Stephen A. Montzka, Philip L. DeCola, Ed Dlugokencky, Arlyn Andrews, Kirk Thoning, Colm Sweeney, Geoff Dutton, Lauren Aepli, and Andrew Crotwell
Atmos. Chem. Phys., 23, 1437–1448, https://doi.org/10.5194/acp-23-1437-2023, https://doi.org/10.5194/acp-23-1437-2023, 2023
Short summary
Short summary
Effective mitigation of greenhouse gas (GHG) emissions relies on an accurate understanding of emissions. Here we demonstrate the added value of using inventory- and atmosphere-based approaches for estimating US emissions of SF6, the most potent GHG known. The results suggest a large decline in US SF6 emissions, shed light on the possible processes causing the differences between the independent estimates, and identify opportunities for substantial additional emission reductions.
Sourish Basu, Xin Lan, Edward Dlugokencky, Sylvia Michel, Stefan Schwietzke, John B. Miller, Lori Bruhwiler, Youmi Oh, Pieter P. Tans, Francesco Apadula, Luciana V. Gatti, Armin Jordan, Jaroslaw Necki, Motoki Sasakawa, Shinji Morimoto, Tatiana Di Iorio, Haeyoung Lee, Jgor Arduini, and Giovanni Manca
Atmos. Chem. Phys., 22, 15351–15377, https://doi.org/10.5194/acp-22-15351-2022, https://doi.org/10.5194/acp-22-15351-2022, 2022
Short summary
Short summary
Atmospheric methane (CH4) has been growing steadily since 2007 for reasons that are not well understood. Here we determine sources of methane using a technique informed by atmospheric measurements of CH4 and its isotopologue 13CH4. Measurements of 13CH4 provide for better separation of microbial, fossil, and fire sources of methane than CH4 measurements alone. Compared to previous assessments such as the Global Carbon Project, we find a larger microbial contribution to the post-2007 increase.
Stijn Naus, Lucas G. Domingues, Maarten Krol, Ingrid T. Luijkx, Luciana V. Gatti, John B. Miller, Emanuel Gloor, Sourish Basu, Caio Correia, Gerbrand Koren, Helen M. Worden, Johannes Flemming, Gabrielle Pétron, and Wouter Peters
Atmos. Chem. Phys., 22, 14735–14750, https://doi.org/10.5194/acp-22-14735-2022, https://doi.org/10.5194/acp-22-14735-2022, 2022
Short summary
Short summary
We assimilate MOPITT CO satellite data in the TM5-4D-Var inverse modelling framework to estimate Amazon fire CO emissions for 2003–2018. We show that fire emissions have decreased over the analysis period, coincident with a decrease in deforestation rates. However, interannual variations in fire emissions are large, and they correlate strongly with soil moisture. Our results reveal an important role for robust, top-down fire CO emissions in quantifying and attributing Amazon fire intensity.
Regina Gonzalez Moguel, Felix Vogel, Sébastien Ars, Hinrich Schaefer, Jocelyn C. Turnbull, and Peter M. J. Douglas
Atmos. Chem. Phys., 22, 2121–2133, https://doi.org/10.5194/acp-22-2121-2022, https://doi.org/10.5194/acp-22-2121-2022, 2022
Short summary
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.
Linda M. J. Kooijmans, Ara Cho, Jin Ma, Aleya Kaushik, Katherine D. Haynes, Ian Baker, Ingrid T. Luijkx, Mathijs Groenink, Wouter Peters, John B. Miller, Joseph A. Berry, Jerome Ogée, Laura K. Meredith, Wu Sun, Kukka-Maaria Kohonen, Timo Vesala, Ivan Mammarella, Huilin Chen, Felix M. Spielmann, Georg Wohlfahrt, Max Berkelhammer, Mary E. Whelan, Kadmiel Maseyk, Ulli Seibt, Roisin Commane, Richard Wehr, and Maarten Krol
Biogeosciences, 18, 6547–6565, https://doi.org/10.5194/bg-18-6547-2021, https://doi.org/10.5194/bg-18-6547-2021, 2021
Short summary
Short summary
The gas carbonyl sulfide (COS) can be used to estimate photosynthesis. To adopt this approach on regional and global scales, we need biosphere models that can simulate COS exchange. So far, such models have not been evaluated against observations. We evaluate the COS biosphere exchange of the SiB4 model against COS flux observations. We find that the model is capable of simulating key processes in COS biosphere exchange. Still, we give recommendations for further improvement of the model.
Vilma Kangasaho, Aki Tsuruta, Leif Backman, Pyry Mäkinen, Sander Houweling, Arjo Segers, Maarten Krol, Ed Dlugokencky, Sylvia Michel, James White, and Tuula Aalto
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2021-843, https://doi.org/10.5194/acp-2021-843, 2021
Revised manuscript not accepted
Short summary
Short summary
Understanding the composition of carbon isotopes can help to better understand the changes in methane budgets. This study investigates how methane sources affect the seasonal cycle of the methane carbon-13 isotope during 2000–2012 using an atmospheric transport model. We found that emissions from both anthropogenic and natural sources contribute. The findings raise a need to revise the magnitudes, proportion, and seasonal cycles of anthropogenic sources and northern wetland emissions.
Hélène Angot, Connor Davel, Christine Wiedinmyer, Gabrielle Pétron, Jashan Chopra, Jacques Hueber, Brendan Blanchard, Ilann Bourgeois, Isaac Vimont, Stephen A. Montzka, Ben R. Miller, James W. Elkins, and Detlev Helmig
Atmos. Chem. Phys., 21, 15153–15170, https://doi.org/10.5194/acp-21-15153-2021, https://doi.org/10.5194/acp-21-15153-2021, 2021
Short summary
Short summary
After a multidecadal global decline in atmospheric abundance of ethane and propane (precursors of tropospheric ozone and aerosols), previous work showed a reversal of this trend in 2009–2015 in the Northern Hemisphere due to the growth in oil and natural gas production in North America. Here we show a temporary pause in the growth of atmospheric ethane and propane in 2015–2018 and highlight the critical need for additional top-down studies to further constrain ethane and propane emissions.
Bharat Rastogi, John B. Miller, Micheal Trudeau, Arlyn E. Andrews, Lei Hu, Marikate Mountain, Thomas Nehrkorn, Bianca Baier, Kathryn McKain, John Mund, Kaiyu Guan, and Caroline B. Alden
Atmos. Chem. Phys., 21, 14385–14401, https://doi.org/10.5194/acp-21-14385-2021, https://doi.org/10.5194/acp-21-14385-2021, 2021
Short summary
Short summary
Predicting Earth's climate is difficult, partly due to uncertainty in forecasting how much CO2 can be removed by oceans and plants, because we cannot measure these exchanges directly on large scales. Satellites such as NASA's OCO-2 can provide part of the needed information, but data need to be highly precise and accurate. We evaluate these data and find small biases in certain months that are similar to the signals of interest. We argue that continued improvement of these data is necessary.
Yi Yin, Frederic Chevallier, Philippe Ciais, Philippe Bousquet, Marielle Saunois, Bo Zheng, John Worden, A. Anthony Bloom, Robert J. Parker, Daniel J. Jacob, Edward J. Dlugokencky, and Christian Frankenberg
Atmos. Chem. Phys., 21, 12631–12647, https://doi.org/10.5194/acp-21-12631-2021, https://doi.org/10.5194/acp-21-12631-2021, 2021
Short summary
Short summary
The growth of methane, the second-most important anthropogenic greenhouse gas after carbon dioxide, has been accelerating in recent years. Using an ensemble of multi-tracer atmospheric inversions constrained by surface or satellite observations, we show that global methane emissions increased by nearly 1 % per year from 2010–2017, with leading contributions from the tropics and East Asia.
Chris Wilson, Martyn P. Chipperfield, Manuel Gloor, Robert J. Parker, Hartmut Boesch, Joey McNorton, Luciana V. Gatti, John B. Miller, Luana S. Basso, and Sarah A. Monks
Atmos. Chem. Phys., 21, 10643–10669, https://doi.org/10.5194/acp-21-10643-2021, https://doi.org/10.5194/acp-21-10643-2021, 2021
Short summary
Short summary
Methane (CH4) is an important greenhouse gas emitted from wetlands like those found in the basin of the Amazon River. Using an atmospheric model and observations from GOSAT, we quantified CH4 emissions from Amazonia during the previous decade. We found that the largest emissions came from a region in the eastern basin and that emissions there were rising faster than in other areas of South America. This finding was supported by CH4 observations made on aircraft within the basin.
Elizabeth B. Wiggins, Arlyn Andrews, Colm Sweeney, John B. Miller, Charles E. Miller, Sander Veraverbeke, Roisin Commane, Steven Wofsy, John M. Henderson, and James T. Randerson
Atmos. Chem. Phys., 21, 8557–8574, https://doi.org/10.5194/acp-21-8557-2021, https://doi.org/10.5194/acp-21-8557-2021, 2021
Short summary
Short summary
We analyzed high-resolution trace gas measurements collected from a tower in Alaska during a very active fire season to improve our understanding of trace gas emissions from boreal forest fires. Our results suggest previous studies may have underestimated emissions from smoldering combustion in boreal forest fires.
Junjie Liu, Latha Baskaran, Kevin Bowman, David Schimel, A. Anthony Bloom, Nicholas C. Parazoo, Tomohiro Oda, Dustin Carroll, Dimitris Menemenlis, Joanna Joiner, Roisin Commane, Bruce Daube, Lucianna V. Gatti, Kathryn McKain, John Miller, Britton B. Stephens, Colm Sweeney, and Steven Wofsy
Earth Syst. Sci. Data, 13, 299–330, https://doi.org/10.5194/essd-13-299-2021, https://doi.org/10.5194/essd-13-299-2021, 2021
Short summary
Short summary
On average, the terrestrial biosphere carbon sink is equivalent to ~ 20 % of fossil fuel emissions. Understanding where and why the terrestrial biosphere absorbs carbon from the atmosphere is pivotal to any mitigation policy. Here we present a regionally resolved satellite-constrained net biosphere exchange (NBE) dataset with corresponding uncertainties between 2010–2018: CMS-Flux NBE 2020. The dataset provides a unique perspective on monitoring regional contributions to the CO2 growth rate.
Shamil Maksyutov, Tomohiro Oda, Makoto Saito, Rajesh Janardanan, Dmitry Belikov, Johannes W. Kaiser, Ruslan Zhuravlev, Alexander Ganshin, Vinu K. Valsala, Arlyn Andrews, Lukasz Chmura, Edward Dlugokencky, László Haszpra, Ray L. Langenfelds, Toshinobu Machida, Takakiyo Nakazawa, Michel Ramonet, Colm Sweeney, and Douglas Worthy
Atmos. Chem. Phys., 21, 1245–1266, https://doi.org/10.5194/acp-21-1245-2021, https://doi.org/10.5194/acp-21-1245-2021, 2021
Short summary
Short summary
In order to improve the top-down estimation of the anthropogenic greenhouse gas emissions, a high-resolution inverse modelling technique was developed for applications to global transport modelling of carbon dioxide and other greenhouse gases. A coupled Eulerian–Lagrangian transport model and its adjoint are combined with surface fluxes at 0.1° resolution to provide high-resolution forward simulation and inverse modelling of surface fluxes accounting for signals from emission hot spots.
Susan S. Kulawik, John R. Worden, Vivienne H. Payne, Dejian Fu, Steven C. Wofsy, Kathryn McKain, Colm Sweeney, Bruce C. Daube Jr., Alan Lipton, Igor Polonsky, Yuguang He, Karen E. Cady-Pereira, Edward J. Dlugokencky, Daniel J. Jacob, and Yi Yin
Atmos. Meas. Tech., 14, 335–354, https://doi.org/10.5194/amt-14-335-2021, https://doi.org/10.5194/amt-14-335-2021, 2021
Short summary
Short summary
This paper shows comparisons of a new single-footprint methane product from the AIRS satellite to aircraft-based observations. We show that this AIRS methane product provides useful information to study seasonal and global methane trends of this important greenhouse gas.
Tea Thum, Julia E. M. S. Nabel, Aki Tsuruta, Tuula Aalto, Edward J. Dlugokencky, Jari Liski, Ingrid T. Luijkx, Tiina Markkanen, Julia Pongratz, Yukio Yoshida, and Sönke Zaehle
Biogeosciences, 17, 5721–5743, https://doi.org/10.5194/bg-17-5721-2020, https://doi.org/10.5194/bg-17-5721-2020, 2020
Short summary
Short summary
Global vegetation models are important tools in estimating the impacts of global climate change. The fate of soil carbon is of the upmost importance as its emissions will enhance the atmospheric carbon dioxide concentration. To evaluate the skill of global vegetation models to model the soil carbon and its responses to environmental factors, it is important to use different data sources. We evaluated two different soil carbon models by using atmospheric carbon dioxide concentrations.
Yuanhong Zhao, Marielle Saunois, Philippe Bousquet, Xin Lin, Antoine Berchet, Michaela I. Hegglin, Josep G. Canadell, Robert B. Jackson, Makoto Deushi, Patrick Jöckel, Douglas Kinnison, Ole Kirner, Sarah Strode, Simone Tilmes, Edward J. Dlugokencky, and Bo Zheng
Atmos. Chem. Phys., 20, 13011–13022, https://doi.org/10.5194/acp-20-13011-2020, https://doi.org/10.5194/acp-20-13011-2020, 2020
Short summary
Short summary
Decadal trends and variations in OH are critical for understanding atmospheric CH4 evolution. We quantify the impacts of OH trends and variations on the CH4 budget by conducting CH4 inversions on a decadal scale with an ensemble of OH fields. We find the negative OH anomalies due to enhanced fires can reduce the optimized CH4 emissions by up to 10 Tg yr−1 during El Niño years and the positive OH trend from 1986 to 2010 results in a ∼ 23 Tg yr−1 additional increase in optimized CH4 emissions.
Cited articles
Akagi, S. K., Yokelson, R. J., Wiedinmyer, C., Alvarado, M. J., Reid, J. S., Karl, T., Crounse, J. D., and Wennberg, P. O.: Emission factors for open and domestic biomass burning for use in atmospheric models, Atmos. Chem. Phys., 11, 4039–4072, https://doi.org/10.5194/acp-11-4039-2011, 2011.
Boden, T. A., Marland, G., and Andres, R. J.: National CO2 Emissions from
Fossil-Fuel Burning, Cement Manufacture, and Gas Flaring: 1751-2014, Carbon
Dioxide Information Analysis Center, Oak Ridge National Laboratory, U.S.
Department of Energy, https://doi.org/10.3334/CDIAC/00001_V2017,
2017.
Chen, Y. and Li, Y.: Low-carbon economy and China's regional energy use research, Jilin Univ. J. Soc. Sci. Ed., 49, 66–73, 2009.
Dlugokencky, E. J., Mund, J. W., Crotwell, A. M., Crotwell, M. J., and
Thoning, K. W.: Atmospheric Carbon Dioxide Dry Air Mole
Fractions from the NOAA GML Carbon Cycle Cooperative Global Air
Sampling Network, 1968–2019, Version: 2020-07,
https://doi.org/10.15138/wkgj-f215, 2020a.
Dlugokencky, E. J., Crotwell, A. M., Mund, J. W., Crotwell, M. J., and
Thoning, K. W.: Atmospheric Sulfur Hexafluoride Dry Air Mole Fractions from the
NOAA GML Carbon Cycle Cooperative Global Air Sampling Network, 1997–2019,
Version: 2020-07, https://doi.org/10.15138/p646-pa37, 2020b.
Fang, X., Thompson, R. L., Saito, T., Yokouchi, Y., Kim, J., Li, S., Kim, K. R., Park, S., Graziosi, F., and Stohl, A.: Sulfur hexafluoride (SF6) emissions in East Asia determined by inverse modeling, Atmos. Chem. Phys., 14, 4779–4791, https://doi.org/10.5194/acp-14-4779-2014, 2014.
Fu, X. W., Zhang, H., Lin, C.-J., Feng, X. B., Zhou, L. X., and Fang, S. X.: Correlation slopes of GEM/CO, GEM/CO2, and GEM/CH4 and estimated mercury emissions in China, South Asia, the Indochinese Peninsula, and Central Asia derived from observations in northwestern and southwestern China, Atmos. Chem. Phys., 15, 1013–1028, https://doi.org/10.5194/acp-15-1013-2015, 2015.
Gamnitzer, U., Karstens, U., Kromer, B., Neubert, R. E. M., Schroeder, H., and
Levin, I.: Carbon monoxide: A quantitative tracer for fossil fuel CO2?, J. Geohys. Res., 111,
D22302, https://doi.org/10.1029/2005JD006966, 2006.
Geller, L. S., Elkins, J. W., Lobert, J. M., Clarke, A. D., Hurst, D. F.,
Butler, J. H., and Myers, R. C.: Tropospheric SF6: Observed latitudinal
distribution and trends, derived emissions and interhemispheric exchange
time, Geophys. Res. Lett., 24, 675–678, https://doi.org/10.1029/97GL00523, 1997.
Godwin, H.: Half-life of radiocarbon, Nature, 195, 984, https://doi.org/10.1038/195984a0, 1962.
Graven, H. D. and Gruber, N.: Continental-scale enrichment of atmospheric 14CO2 from the nuclear power industry: potential impact on the estimation of fossil fuel-derived CO2, Atmos. Chem. Phys., 11, 12339–12349, https://doi.org/10.5194/acp-11-12339-2011, 2011.
Graven, H. D., Stephens, B. B., Guilderson, T. P., Campos, T. L.,
Schimel, D. S., Campbell, J. E., and Keeling, R. F.: Vertical profiles of biospheric and
fossil fuel-derived CO2 and fossil fuel CO2 : CO ratios from
airborne measurements of 14C, CO2 and CO above Colorado, USA,
Tellus, 61, 536–546, https://doi.org/10.1111/j.1600-0889.2009.00421.x, 2009.
Gregg, J. S., Andres, R. J., and Marland, G.: China: Emissions pattern of the world
leader in CO2 emissions from fossil fuel consumption and cement
production, Geophys. Res. Lett., 35, L08806, https://doi.org/10.1029/2007GL032887, 2008.
Greenhouse Gas Inventory and Research Center: National Greenhouse Gas
Inventory Report of Korea; National statistics-115018, 11-1480906-000002-10, available at:
http://www.gir.go.kr/home/index.do?menuld=36 (last access: 1 September 2020), 2018 (in
Korean).
Hsueh, D. Y., Krakauer, N. Y., Randerson, J. T., Xu, X., Trumbore, S. E., and
Southon, J. R.: Regional patterns of radiocarbon and fossil fuel derived CO2
in surface air across North America, Geophys. Res. Lett., 34, L02816, https://doi.org/10.1029/2006GL027032,
2007.
Janssens-Maenhout, G., Crippa, M., Guizzardi, D., Muntean, M., Schaaf, E.,
Olivier, J. G. J., Peters, J. A. H. W., and Schure, K. M.: Fossil CO2 and GHG
emissions of all world countries, EUR 28766 EN, Publications Office of the
European Union, Luxembourg, ISBN 978-92-79-73207-2, https://doi.org/10.2760/709792,
2017.
Janssens-Maenhout, G., Crippa, M., Guizzardi, D., Muntean, M., Schaaf, E., Dentener, F., Bergamaschi, P., Pagliari, V., Olivier, J. G. J., Peters, J. A. H. W., van Aardenne, J. A., Monni, S., Doering, U., Petrescu, A. M. R., Solazzo, E., and Oreggioni, G. D.: EDGAR v4.3.2 Global Atlas of the three major greenhouse gas emissions for the period 1970–2012, Earth Syst. Sci. Data, 11, 959–1002, https://doi.org/10.5194/essd-11-959-2019, 2019.
Kurokawa, J., Ohara, T., Morikawa, T., Hanayama, S., Janssens-Maenhout, G., Fukui, T., Kawashima, K., and Akimoto, H.: Emissions of air pollutants and greenhouse gases over Asian regions during 2000–2008: Regional Emission inventory in ASia (REAS) version 2, Atmos. Chem. Phys., 13, 11019–11058, https://doi.org/10.5194/acp-13-11019-2013, 2013.
Labzovskii, L. D., Mak, H. W. L., Kenea, S. T., Rhee, J.-S.,
Lashkari, A., Li, S., Goo, T.-Y., Oh, Y.-S., and Byun, Y.-H.: What can we learn about effectiveness
of carbon reduction policies from interannual variability of fossil fuel
CO2 emissions in East Asia?, Environ. Sci. Policy, 96, 132–140,
https://doi.org/10.1016/j.envsci.2019.03.011, 2019.
Lee, H., Han, S.-O., Ryoo, S.-B., Lee, J.-S., and Lee, G.-W.: The measurement of atmospheric CO2 at KMA GAW regional stations, its characteristics, and comparisons with other East Asian sites, Atmos. Chem. Phys., 19, 2149–2163, https://doi.org/10.5194/acp-19-2149-2019, 2019.
Lehman, S. J., Miller, J. B., Wolak, C., Southon, J. R., Tans, P. P., Montzka, S. A.,
Sweeney, C., Andrews, A. E., LaFranchi, B. W., and Guilderson, T. P.: Allocation of
terrestrial carbon sources using 14CO2: methods, measurement, and
modelling, Radiocarbon, 55, 1484–1495, 2013.
Levin, I., Kromer, B., Schmidt, M., and Sartorius, H.: A novel approach for independent
budgeting of fossil fuel CO2 over Europe by 14CO2
observations, Geophys. Res. Lett., 30, 2194, https://doi.org/10.1029/2003GL018477, 2003.
Li, S., Kim, J., Park, S., Kim, S.-K., Park, M.-K., Mühle, J., Lee, G.-W.,
Lee, M., Jo, C. O., and Kim, K.-R.: Source identification and apportionment of
halogenated compounds observed at a remote site in East Asia, Eviron. Sci. Technol., 48,
491–498, https://doi.org/10.1021/es402776w, 2014.
Miller, J. B., Lehman, S. J., Montzka, S. A., Sweeney, C., Miller, B. R.,
Karion, A., Wolak, C., Dlugokencky, E. J., Southon, J., Turnbull, J. C., and Tans, P. P.:
Linking emissions of fossil fuel CO2 and other anthropogenic trace
gases using atmospheric 14CO2, J. Geophys. Res., 117, D08302,
https://doi.org/10.1029/2011JD017048, 2012.
Niu, Z., Zhou, W., Feng, X., Feng, T., Wu, S., Cheng, P., Lu, X., Du, H., Xiong, X., and
Fu, Y.: Atmospheric fossil fuel CO2 traced by 14CO2 and air
quality index pollutant observations in Beijing and Xiamen, China. Environ. Sci. Pollut. R., 25,
17109–17117, https://doi.org/10.1007/s11356-018-1616-z, 2018.
Niu, Z., Zhou, W., Cheng, P., Wu, S., Lu, X., Xiong, X., Du, H., and Fu, Y.:
Observations of atmospheric Δ14CO2 at the global and
regional background sites in China: Implication for fossil fuel CO2
inputs, Eviron. Sci. Technol., 50, 12122–12128, https://doi.org/10.1021/acs.est.6b02814, 2016.
Nydal, R. and Lövseth, K.: Carbon-14 measurements in atmospheric
CO2 from Northern and Southern Hemisphere sites, 1962–1993, technical
report, Carbon Dioxide Inf. Anal. Cent., Oak Ridge Natl. Lab., U.S. Dep. of Energy, Oak Ridge, Tenn., 1996.
Rafter, T. A. and Fergusson, G. J.: “Atom Bomb Effect” – Recent increase
of Carbon-14 content of the atmosphere and biosphere, Science, 126, 557–558,
1957.
Palstra, S. W., Karstens, U., Streurman, H.-J., and Meijer, H. A. J.: Wine ethanol
14C as a tracer for fossil fuel CO2 emissions in Europe:
Measurements and model comparison, J. Geophys. Res., 113, D21305, https://doi.org/10.1029/2008JD010282,
2008.
Pétron, G., Crotwell, A. M., Crotwell, M. J., Dlugokencky, E.,
Madronich, M., Moglia, E., Neff, D., Wolter, S., and Mund, J. W.:
Atmospheric Carbon Monoxide Dry Air Mole Fractions
from the NOAA GML Carbon Cycle Cooperative Global Air Sampling Network,
1988–2020, Version: 2020-08, https://doi.org/10.15138/33bv-s284, 2020.
Riley, W. G., Hsueh, D. Y., Randerson, J. T., Fischer, M. L., Hatch, J.,
Pataki, D. E., Wang, W., and Goulden, M. L.: Where do fossil fuel carbon dioxide
emissions from California go? An analysis based on radiocarbon observations
and an atmospheric transport model, J. Geophys. Res., 113, G04002, https://doi.org/10.1029/2007JG000625,
2008.
Rivier, L., Ciais, P., Hauglustaine, D. A., Bakwin, P., Bousquet, P., Peylin, P., and
Klonecki, A.: Evaluation of SF6, C2Cl4, and CO to approximate
fossil fuel CO2 in the Northern Hemisphere using a chemistry transport
model, J. Geophys. Res., 111, D16311, https://doi.org/10.1029/2005JD006725, 2006.
Suntharalingam, P., Jacob, D. J., Palmer, P. I., Logan, J. A., Yantosca, R. M.,
Xiao, Y., and Evans, M. J.: Improved quantification of Chinese carbon fluxes using
CO2∕CO correlations in Asian outflow, J. Geophys. Res., 109, D18S18,
https://doi.org/10.1029/2003JD004362, 2004.
Suess, H. E.: Radiocarbon concentration in modern wood, Science, 122, 415, https://doi.org/10.1126/science.122.3166.415-a,
1955.
Stuiver, M. and Quay, P.: Atmospheric 14C changes resulting from fossil
fuel CO2 release and cosmic ray flux variability, Earth Planet. Sc. Lett., 53, 349–362,
1981.
Tang, W., Arellano, A. F., DiGangi, J. P., Choi, Y., Diskin, G. S., Agustí-Panareda, A., Parrington, M., Massart, S., Gaubert, B., Lee, Y., Kim, D., Jung, J., Hong, J., Hong, J.-W., Kanaya, Y., Lee, M., Stauffer, R. M., Thompson, A. M., Flynn, J. H., and Woo, J.-H.: Evaluating high-resolution forecasts of atmospheric CO and CO2 from a global prediction system during KORUS-AQ field campaign, Atmos. Chem. Phys., 18, 11007–11030, https://doi.org/10.5194/acp-18-11007-2018, 2018.
Tans, P. P., Berry, J. A., and Keeling, R. F.: Oceanic13C/12C
observations: A new window on ocean CO2 uptake, Global Biogeochem. Cy., 7, 353–368,
https://doi.org/10.1029/93GB00053, 1993.
Sokal, R. R. and Rohlf, F. J.: Biometry, 2nd Edn., Freeman, NY, 1981.
Song, J., Qu, B., Li, X., Yuan, H., Li, N., and Duan, L.:
Carbon sinks/sources in the Yellow and East China Seas-Air-sea interface
exchange, dissolution in seawater, and burial in sediments, Sci. China Earth Sci., 61, 1583–1593,
2018.
Stuiver, M. and Polach H. A.: Discussion: Reporting of 14C data,
Radiocarbon, 19, 355–363, 1977,
Tans, P. P., de Jong, A. F. M., and Mook, W. G.: Natural atmospheric 14C
variation and the Suess effect, Science, 280, 826–828, 1979.
Thoning, K. W., Tans, P. P., and Komhyr, W. D.: Atmospheric Carbon dioxide at
Mauna Loa Observatory 2. Analysis of the NOAA GMCC Data, 1984–1985, J. Geophys. Res., 94,
8549–8565, 1989.
Tohjima, Y., Kubo, M., Minejima, C., Mukai, H., Tanimoto, H., Ganshin, A., Maksyutov, S., Katsumata, K., Machida, T., and Kita, K.: Temporal changes in the emissions of CH4 and CO from China estimated from CH4 ∕ CO2 and CO ∕ CO2 correlations observed at Hateruma Island, Atmos. Chem. Phys., 14, 1663–1677, https://doi.org/10.5194/acp-14-1663-2014, 2014.
Turnbull, J., Rayner, P., Miller, J., Naegler, T., Ciais, P., and Cozic, A.: On the
use of 14CO2 as a tracer for fossil fuel CO2: Quantifying
uncertainties using an atmospheric transport model, J. Geophys. Res., 114, D22302,
https://doi.org/10.1029/2009JD012308, 2009.
Turnbull, J. C., Miller, J. B., Lehman, S. J., Tans, P. P., Sparks, R. J., and
Southon, J.: Comparison of 14CO2, CO, and SF6 as tracers for
recently added fossil fuel CO2 in the atmosphere and implications for
biological CO2 exchange, Geophys. Res. Lett., 33, L01817, https://doi.org/10.1029/2005GL024213,
2006.
Turnbull, J. C., Lehman, S. J., Miller, J. B., Sparks, R. J., Southon, J. R., and Tans, P.
P.: A new high precision 14CO2 time series for North American
continental air, J. Geophys. Res., 112, D11310, https://doi.org/10.1029/2006JD008184, 2007.
Turnbull, J. C., Tans, P. P., Lehman, S. J., Baker, D., Conway, T. J.,
Chung, Y. S., Gregg, J., Miller, J. B., Southon, J. R., and Zhou, L.-X.: Atmospheric
observations of carbon monoxide and fossil fuel CO2 emissions from East
Asia, J. Geophys. Res., 116, D24306, https://doi.org/10.1029/2011JD016691, 2011a.
Turnbull, J. C., Karion, A., Fischer, M. L., Faloona, I., Guilderson, T., Lehman, S. J., Miller, B. R., Miller, J. B., Montzka, S., Sherwood, T., Saripalli, S., Sweeney, C., and Tans, P. P.: Assessment of fossil fuel carbon dioxide and other anthropogenic trace gas emissions from airborne measurements over Sacramento, California in spring 2009, Atmos. Chem. Phys., 11, 705–721, https://doi.org/10.5194/acp-11-705-2011, 2011b.
Van Der Laan, S., Karstens, U., Neubert, R. E. M., Van Der Laan-Luijkx, I. T., and
Meijer, H. A. J.: Observation-based estimates of fossil fuel-derived CO2
emissions in the Netherlands using Δ14C, CO and 222Radon,
Tellus B, 62, 389–402, https://doi.org/10.1111/j.1600-0889.2010.00493.x, 2010.
Wang, Y., Munger, J. W., Xu, S., McElroy, M. B., Hao, J., Nielsen, C. P., and Ma, H.: CO2 and its correlation with CO at a rural site near Beijing: implications for combustion efficiency in China, Atmos. Chem. Phys., 10, 8881–8897, https://doi.org/10.5194/acp-10-8881-2010, 2010.
Yin, L., Du, P., Zhang, M., Liu, M., Xu, T., and Song, Y.: Estimation of emissions from biomass burning in China (2003–2017) based on MODIS fire radiative energy data, Biogeosciences, 16, 1629–1640, https://doi.org/10.5194/bg-16-1629-2019, 2019.
Zondervan, A. and Meijer, H. A. J: Isotopic characterization of CO2
sources during regional pollution events using isotopic and radiocarbon
analysis, Tellus B, 48, 601–612, https://doi.org/10.1034/j.1600-0889.1996.00013.x,
1996.
Download
- Article
(401 KB) - Full-text XML
Short summary
To understand South Korea's CO2 emissions and sinks as well as those of the surrounding region, we used flask-air samples collected for 2 years at Anmyeondo (36.53° N, 126.32° E; 46 m a.s.l.), South Korea, for analysis of observed 14C in atmospheric CO2 as a tracer of fossil fuel CO2 contribution (Cff). Here, we showed our observation result of 14C and Cff. SF6 and CO can be good proxies of Cff in this study, and the ratio of CO to Cff was compared to a bottom-up inventory.
To understand South Korea's CO2 emissions and sinks as well as those of the surrounding region,...
Altmetrics
Final-revised paper
Preprint