Articles | Volume 15, issue 19
https://doi.org/10.5194/amt-15-5841-2022
© 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/amt-15-5841-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Oct 2022
Research article |
| 14 Oct 2022
| 14 Oct 2022
Comparing airborne algorithms for greenhouse gas flux measurements over the Alberta oil sands
Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, AB, T6G 2R3, Canada
Cristen Adams
Resource Stewardship Division, Alberta Environment and Parks, Edmonton, AB, T5J 5C6, Canada
Andrea Darlington
Air Quality Research Division, Environment and Climate Change Canada, Toronto, ON, M3H 5T4, Canada
Mackenzie L. Smith
Scientific Aviation, Inc., Boulder, CO 80301, USA
Andrew K. Thorpe
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
Gregory R. Wentworth
Resource Stewardship Division, Alberta Environment and Parks, Edmonton, AB, T5J 5C6, Canada
Steve Conley
Scientific Aviation, Inc., Boulder, CO 80301, USA
John Liggio
Air Quality Research Division, Environment and Climate Change Canada, Toronto, ON, M3H 5T4, Canada
Shao-Meng Li
Air Quality Research Division, Environment and Climate Change Canada, Toronto, ON, M3H 5T4, Canada
Charles E. Miller
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
John A. Gamon
Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, AB, T6G 2R3, Canada
School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE 68583, USA
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Rowshon Afroz, Hongru Shen, Bradley H. Isenor, Samar G. Moussa, Amanda Hanashiro Moraes, Shakiba Talebian, Carolyn Liu-Kang, Jeremy J. B. Wentzell, Oscar Olfert, Amy Leithead, Ginny Marshall, Ralf M. Staebler, Cris Mihele, Arthur W. H. Chan, Jason Olfert, John Liggio, Jonathan Abbatt, Ran Zhao, and Sumi N. Wren
Atmos. Chem. Phys., 26, 16101–16124, https://doi.org/10.5194/acp-26-16101-2026, https://doi.org/10.5194/acp-26-16101-2026, 2026
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Wildfires represent a dominant source of gaseous pollutants that affect air quality, climate, and health, but emissions from Canadian boreal fuels are not well characterized. We conducted controlled laboratory burns of representative fuels and measured gas emissions in detail. Emissions varied strongly with fuel type, moisture, and burning conditions, with peat producing especially high levels. These results improve emission estimates and help predict wildfire smoke impacts.
Jay E. Fahlen, Philip G. Brodrick, David R. Thompson, Andrew K. Thorpe, and Robert O. Green
Atmos. Meas. Tech., 19, 7217–7229, https://doi.org/10.5194/amt-19-7217-2026, https://doi.org/10.5194/amt-19-7217-2026, 2026
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This paper introduces a new method called SPIIRE (Statistical Plume Imaging Inversion for Rate Estimation) to more accurately measure gas emission rates, like methane, using satellite imaging. Past methods often relied on human operators and were therefore error prone. Instead, SPIIRE uses a statistical method that matches data to a flexible plume model, enabling rate estimates for complex plumes. SPIIRE shows good performance on real data including point sources, overlapping plumes, and wide area sources like landfills.
Hanyu Liu, Charles E. Miller, Colm Sweeney, Kathryn McKain, Jennifer D. Watts, Róisín Commane, Luke D. Schiferl, Zhen Zhang, Benjamin Poulter, Leyang Feng, Ao Chen, Ziting Huang, Dylan C. Gaeta, Kristan L. Morgan, William S. Daniels, Qiulun Li, Joe R. Melton, Vineet Yadav, Deborah Huntzinger, and Scot M. Miller
EGUsphere, https://doi.org/10.5194/egusphere-2026-6528, https://doi.org/10.5194/egusphere-2026-6528, 2026
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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We combine NASA aircraft observations with atmospheric inverse modeling to estimate Alaska’s growing-season methane fluxes for 2012–2015 and 2017. Our statewide estimates are 1.3–2.9 times those of process-based models, with the largest discrepancies on Alaska’s North Slope. We find that differences in wetland inundation fraction maps contribute to these gaps, highlighting the need for improved inundation fraction mapping and atmospheric observations to constrain Arctic methane emissions.
Haijiong Sun, Shao-Meng Li, Yifei Wang, Yanrong Yang, Tianran Han, Keyu Chen, Chang Liu, Jietao Zhou, Zeqing Ma, Fengting Yang, Junfei Guo, and Xiangyu Gao
Atmos. Meas. Tech., 19, 7017–7038, https://doi.org/10.5194/amt-19-7017-2026, https://doi.org/10.5194/amt-19-7017-2026, 2026
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We designed a drone system to measure forest carbon dioxide exchange in difficult terrain. It measures carbon dioxide and wind on loop flights and vertical climbs to estimate both vertical exchange and sideways transport. At a subtropical plantation in southern China, results matched an eddy covariance tower. Sideways transport often dominated early morning, while midday uptake prevailed. Total uncertainty was about fifteen percent, making this a flexible complement to fixed towers.
Daniel Cusworth, Daniel Varon, Dylan Jervis, Jason McKeever, Alexander Turner, Christian Frankenberg, John Worden, Andrew Thorpe, Jay Fahlen, Sudhanshu Pandey, Joannes Maasakkers, Ilse Aben, Annmarie Eldering, Riley Duren, Bradley Conrad, Tia Scarpelli, Daniel Bon, Mackenzie Huffman, Itziar Irakulis-Loitxate, Luis Guanter, Jason Schroeder, Benjamin Hmiel, Evan Sherwin, Sean Crowell, Eric Kort, Adam Brandt, Frances Reuland, Maryann Sargent, James East, and Daniel Jacob
EGUsphere, https://doi.org/10.5194/egusphere-2026-6060, https://doi.org/10.5194/egusphere-2026-6060, 2026
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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In this review, we summarize the current and anticipated state of satellite remote sensing for point sources. In particular, we are provide and update to the fleet of point source imaging satellites, summarize the nuance around data availability and revisit, detail data processing pipelines and validation procedures, describe how to benchmark detection performance, and finally, describe demonstrated use-cases for satellite point source observations.
Brian D. Bue, Jake H. Lee, Philip G. Brodrick, Vít Růžička, Jay E. Fahlen, Andrew K. Thorpe, David R. Thompson, and Robert O. Green
EGUsphere, https://doi.org/10.5194/egusphere-2026-3851, https://doi.org/10.5194/egusphere-2026-3851, 2026
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Imaging spectroscopy is a powerful tool for observing greenhouse gases from space. Such monitoring systems rely on the matched filter algorithm to retrieve gas concentrations. However, certain surface materials and instrument artifacts often trigger false high concentrations. We introduce the Differential Matched Filter, which corrects the mathematical ambiguities that cause these issues. This method enables the robust monitoring of methane, carbon dioxide, nitrogen dioxide, and ammonia.
Veronica Z. Berta, Lynn Monica Russell, Abigail S. Williams, Jeramy L. Dedrick, Sanghee Han, Dan Lubin, Ryan N. Farley, Allison C. Aiken, Jeremy Wentzell, and John Liggio
EGUsphere, https://doi.org/10.5194/egusphere-2026-4695, https://doi.org/10.5194/egusphere-2026-4695, 2026
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This study examines different formation pathways for various types of organic aerosol using one year of aerosol mass spectrometry measurements from the Eastern Pacific Cloud Aerosol Precipitation Experiment (EPCAPE) in La Jolla, California. The results show that photochemical, cloud and aerosol water aqueous reactions, and combustion emissions contribute differently to organic aerosol across seasons, with in-cloud aqueous reactions most strongly associated with highly oxidized organic aerosol.
Keyu Chen, Yanrong Yang, Yufei Huang, Yuheng Zhang, Jietao Zhou, Haijiong Sun, Chang Liu, Ling Kang, Keding Lu, Zhijun Wu, and Shao-Meng Li
EGUsphere, https://doi.org/10.5194/egusphere-2026-2441, https://doi.org/10.5194/egusphere-2026-2441, 2026
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Vehicle-mounted wind sensors are useful for mobile atmospheric measurements, but the vehicle itself disturbs the measured wind. We developed a correction method based on airflow simulations and vehicle motion data. Tests against ground observations showed that the method improves wind speed, wind direction, and vertical wind measurements, supporting more reliable mobile observations.
Thomas Plewa, André Butz, Christian Frankenberg, Andrew K. Thorpe, and Julia Marshall
EGUsphere, https://doi.org/10.5194/egusphere-2026-2572, https://doi.org/10.5194/egusphere-2026-2572, 2026
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In this paper, we present an improved deep learning method to estimate emissions of methane plumes from 2-D imagery. We present a new neural network architecture that provides insight into the wind speed used for the emission estimation and apply it to synthetic data that were used in previous studies. Our analysis illustrates that the performance increases by around 40% compared to the previous version, and that external wind speed data can be used to verify and improve the model's predictions.
Raphaël Savelli, Dustin Carroll, Dimitris Menemenlis, Jonathan M. Lauderdale, Clément Bertin, Stephanie Dutkiewicz, Manfredi Manizza, A. Anthony Bloom, Karel Castro-Morales, Charles E. Miller, Marc Simard, Kevin W. Bowman, and Hong Zhang
Geosci. Model Dev., 19, 867–885, https://doi.org/10.5194/gmd-19-867-2026, https://doi.org/10.5194/gmd-19-867-2026, 2026
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Accounting for carbon and nutrients in rivers is essential for resolving carbon dioxide (CO2) exchanges between the ocean and the atmosphere. In this study, we add the effect of present-day rivers to a pioneering global-ocean biogeochemistry model. This study highlights the challenge for global ocean numerical models to cover the complexity of the flow of water and carbon across the Land-to-Ocean Aquatic Continuum.
Riley Duren, Daniel Cusworth, Alana Ayasse, Katherine Howell, Alex Diamond, Tia Scarpelli, Jinsol Kim, Kelly O'neill, Judy Lai-Norling, Andrew Thorpe, Sander R. Zandbergen, Lucas Shaw, Mark Keremedjiev, Jeff Guido, Paul Giuliano, Malkam Goldstein, Ravi Nallapu, Geert Barentsen, David R. Thompson, Keely Roth, Daniel Jensen, Michael Eastwood, Frances Reuland, Taylor Adams, Adam Brandt, Eric A. Kort, James Mason, and Robert O. Green
Atmos. Meas. Tech., 18, 6933–6958, https://doi.org/10.5194/amt-18-6933-2025, https://doi.org/10.5194/amt-18-6933-2025, 2025
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We describe the Carbon Mapper emissions monitoring system including methane and carbon dioxide observations from the constellation of Tanager hyperspectral satellites, a global monitoring strategy optimized for enabling mitigation impact at the scale of individual facilities, and a data platform that delivers timely and transparent information for diverse stakeholders. We present early findings from Tanager-1 including the use of our data to locate and repair a leaking oil and gas pipeline.
Clément Bertin, Vincent Le Fouest, Dustin Carroll, Stephanie Dutkiewicz, Dimitris Menemenlis, Atsushi Matsuoka, Manfredi Manizza, and Charles E. Miller
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We adjusted a model of the Mackenzie River region to account for the riverine export of organic matter that affects light in the water. We show that such export causes a delay in the phytoplankton growth by two weeks and raises the water surface temperature by 1.7 °C. We found that temperature increase turns this coastal region from a sink of carbon dioxide to an emitter. Our findings suggest that rising exports of organic matter can significantly affect the carbon cycle in Arctic coastal areas.
Alexandra M. Catena, Mackenzie L. Smith, Lee T. Murray, Eric M. Leibensperger, Jie Zhang, Margaret J. Schwab, and James J. Schwab
Earth Syst. Sci. Data, 17, 4555–4568, https://doi.org/10.5194/essd-17-4555-2025, https://doi.org/10.5194/essd-17-4555-2025, 2025
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Methane and carbon dioxide emission rates were calculated for facilities across several sectors in New York State using aerial observations. Of the sampled facilities, landfills dominated the methane emission rates, while combustion facilities had the highest carbon dioxide emission rates, followed by landfills. The self-reported Environmental Protection Agency (EPA) inventory mostly underestimates landfill methane emissions, apart from a few facilities with comparable numbers.
Yanrong Yang, Yuheng Zhang, Tianran Han, Conghui Xie, Yayong Liu, Yufei Huang, Jietao Zhou, Haijiong Sun, Delong Zhao, Kui Zhang, and Shao-Meng Li
Atmos. Meas. Tech., 18, 3035–3050, https://doi.org/10.5194/amt-18-3035-2025, https://doi.org/10.5194/amt-18-3035-2025, 2025
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A wind speed correction algorithm for multirotor unoccupied aerial vehicles (UAVs) was developed using computational fluid dynamics (CFD). An integrated compensation algorithm was designed to account for the effects of UAV motion, attitude changes, and rotor-induced airflow on wind speed measurements. Comparative experimental results confirmed the effectiveness of the proposed compensation algorithm.
Chris A. McLinden, Debora Griffin, Vitali Fioletov, Junhua Zhang, Enrico Dammers, Cristen Adams, Mallory Loria, Nickolay Krotkov, and Lok N. Lamsal
Atmos. Chem. Phys., 25, 6093–6120, https://doi.org/10.5194/acp-25-6093-2025, https://doi.org/10.5194/acp-25-6093-2025, 2025
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The Ozone Monitoring Instrument (OMI) was used to understand the evolution of NOx emissions from the Canadian oil sands. OMI NO2 combined with winds and reported stack emissions found emissions from the heavy-hauler mine fleet have remained flat since 2005, whereas the total oil sands mined have more than doubled. This difference is a result of emissions standards that limit NOx emissions becoming more stringent over this period, confirming the efficacy of the policy enacting these standards.
Gerrit Kuhlmann, Foteini Stavropoulou, Stefan Schwietzke, Daniel Zavala-Araiza, Andrew Thorpe, Andreas Hueni, Lukas Emmenegger, Andreea Calcan, Thomas Röckmann, and Dominik Brunner
Atmos. Chem. Phys., 25, 5371–5385, https://doi.org/10.5194/acp-25-5371-2025, https://doi.org/10.5194/acp-25-5371-2025, 2025
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A measurement campaign in 2019 found that methane emissions from oil and gas in Romania were significantly higher than reported. In 2021, our follow-up campaign using airborne remote sensing showed a marked decreases in emissions by 20 %–60 % due to improved infrastructure. The study highlights the importance of measurement-based emission monitoring and illustrates the value of a multi-scale assessment integrating ground-based observations with large-scale airborne remote sensing campaigns.
Tannaz H. Mohammadloo, Matthew Jones, Bas van de Kerkhof, Kyle Dawson, Brendan J. Smith, Stephen Conley, Abigail Corbett, and Rutger IJzermans
Atmos. Meas. Tech., 18, 1301–1324, https://doi.org/10.5194/amt-18-1301-2025, https://doi.org/10.5194/amt-18-1301-2025, 2025
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Methane is a potent greenhouse gas. Trustable detection and quantification of methane emissions at facility level are critical for identifying the largest sources and prioritizing them for repair. We provide a systematic analysis of several sources of uncertainty in drone-based methane emission surveys based on theoretical considerations and historical data sets. We provide guidelines for industry on how to avoid or minimize errors in drone-based methane emission quantification surveys.
Hossein Maazallahi, Foteini Stavropoulou, Samuel Jonson Sutanto, Michael Steiner, Dominik Brunner, Mariano Mertens, Patrick Jöckel, Antoon Visschedijk, Hugo Denier van der Gon, Stijn Dellaert, Nataly Velandia Salinas, Stefan Schwietzke, Daniel Zavala-Araiza, Sorin Ghemulet, Alexandru Pana, Magdalena Ardelean, Marius Corbu, Andreea Calcan, Stephen A. Conley, Mackenzie L. Smith, and Thomas Röckmann
Atmos. Chem. Phys., 25, 1497–1511, https://doi.org/10.5194/acp-25-1497-2025, https://doi.org/10.5194/acp-25-1497-2025, 2025
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This article presents insights from airborne in situ measurements collected during the ROmanian Methane Emissions from Oil and gas (ROMEO) campaign supported by two models. Results reveal Romania's oil and gas methane emissions were significantly under-reported to the United Nations Framework Convention on Climate Change (UNFCCC) in 2019. A large underestimation was also found in the Emissions Database for Global Atmospheric Research (EDGAR) v7.0 for the study domain in the same year.
Xiaoran Zhu, Dong Chen, Maruko Kogure, Elizabeth Hoy, Logan T. Berner, Amy L. Breen, Abhishek Chatterjee, Scott J. Davidson, Gerald V. Frost, Teresa N. Hollingsworth, Go Iwahana, Randi R. Jandt, Anja N. Kade, Tatiana V. Loboda, Matt J. Macander, Michelle Mack, Charles E. Miller, Eric A. Miller, Susan M. Natali, Martha K. Raynolds, Adrian V. Rocha, Shiro Tsuyuzaki, Craig E. Tweedie, Donald A. Walker, Mathew Williams, Xin Xu, Yingtong Zhang, Nancy French, and Scott Goetz
Earth Syst. Sci. Data, 16, 3687–3703, https://doi.org/10.5194/essd-16-3687-2024, https://doi.org/10.5194/essd-16-3687-2024, 2024
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The Arctic tundra is experiencing widespread physical and biological changes, largely in response to warming, yet scientific understanding of tundra ecology and change remains limited due to relatively limited accessibility and studies compared to other terrestrial biomes. To support synthesis research and inform future studies, we created the Synthesized Alaskan Tundra Field Dataset (SATFiD), which brings together field datasets and includes vegetation, active-layer, and fire properties.
Charles E. Miller, Peter C. Griffith, Elizabeth Hoy, Naiara S. Pinto, Yunling Lou, Scott Hensley, Bruce D. Chapman, Jennifer Baltzer, Kazem Bakian-Dogaheh, W. Robert Bolton, Laura Bourgeau-Chavez, Richard H. Chen, Byung-Hun Choe, Leah K. Clayton, Thomas A. Douglas, Nancy French, Jean E. Holloway, Gang Hong, Lingcao Huang, Go Iwahana, Liza Jenkins, John S. Kimball, Tatiana Loboda, Michelle Mack, Philip Marsh, Roger J. Michaelides, Mahta Moghaddam, Andrew Parsekian, Kevin Schaefer, Paul R. Siqueira, Debjani Singh, Alireza Tabatabaeenejad, Merritt Turetsky, Ridha Touzi, Elizabeth Wig, Cathy J. Wilson, Paul Wilson, Stan D. Wullschleger, Yonghong Yi, Howard A. Zebker, Yu Zhang, Yuhuan Zhao, and Scott J. Goetz
Earth Syst. Sci. Data, 16, 2605–2624, https://doi.org/10.5194/essd-16-2605-2024, https://doi.org/10.5194/essd-16-2605-2024, 2024
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NASA’s Arctic Boreal Vulnerability Experiment (ABoVE) conducted airborne synthetic aperture radar (SAR) surveys of over 120 000 km2 in Alaska and northwestern Canada during 2017, 2018, 2019, and 2022. This paper summarizes those results and provides links to details on ~ 80 individual flight lines. This paper is presented as a guide to enable interested readers to fully explore the ABoVE L- and P-band SAR data.
Tianran Han, Conghui Xie, Yayong Liu, Yanrong Yang, Yuheng Zhang, Yufei Huang, Xiangyu Gao, Xiaohua Zhang, Fangmin Bao, and Shao-Meng Li
Atmos. Meas. Tech., 17, 677–691, https://doi.org/10.5194/amt-17-677-2024, https://doi.org/10.5194/amt-17-677-2024, 2024
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This study reported an integrated UAV measurement platform for GHG monitoring and its application for emission quantification from a coking plant. The key element of this system is a newly designed air sampler, consisting of a 150 m long tube with remote-controlled time stamping. When comparing the top-down results to those derived from the bottom-up inventory method, the present findings indicate that the use of IPCC emission factors for emission calculations can lead to overestimation.
Yanrong Yang, Yuheng Zhang, Tianran Han, Conghui Xie, Yayong Liu, Yufei Huang, Jietao Zhou, Haijiong Sun, Delong Zhao, Kui Zhang, and Shao-Meng Li
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2023-248, https://doi.org/10.5194/amt-2023-248, 2024
Preprint withdrawn
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The paper introduces a correction algorithm for accurate wind speed measurement in a multirotor unmanned aerial vehicle (UAV) with a sonic anemometer. Addressing propeller rotation, UAV movement, and attitude changes, it integrates computational fluid dynamics simulation and regression analysis. This comprehensive algorithm corrects rotor disturbances, motion, and attitude variations. Validation against meteorological tower data demonstrates its enhanced reliability in wind speed measurements.
Alana K. Ayasse, Daniel Cusworth, Kelly O'Neill, Justin Fisk, Andrew K. Thorpe, and Riley Duren
Atmos. Meas. Tech., 16, 6065–6074, https://doi.org/10.5194/amt-16-6065-2023, https://doi.org/10.5194/amt-16-6065-2023, 2023
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Methane is a powerful greenhouse gas, and a significant portion of methane comes from large individual plumes. Recently, airplane-mounted infrared technologies have proven very good at detecting and quantifying these plumes. In order to extract the methane signal from the infrared image, there are two widely used approaches. In this study, we assess the performance of both approaches using controlled-release experiments. We also examine the minimum detection limit of the infrared technology.
Daniel H. Cusworth, Andrew K. Thorpe, Charles E. Miller, Alana K. Ayasse, Ralph Jiorle, Riley M. Duren, Ray Nassar, Jon-Paul Mastrogiacomo, and Robert R. Nelson
Atmos. Chem. Phys., 23, 14577–14591, https://doi.org/10.5194/acp-23-14577-2023, https://doi.org/10.5194/acp-23-14577-2023, 2023
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Carbon dioxide (CO2) emissions from combustion sources are uncertain in many places across the globe. Satellites have the ability to detect and quantify emissions from large CO2 point sources, including coal-fired power plants. In this study, we tasked two satellites to routinely observe CO2 emissions at 30 coal-fired power plants between 2021 and 2022. These results present the largest dataset of space-based CO2 emission estimates to date.
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
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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.
Vineet Yadav, Subhomoy Ghosh, and Charles E. Miller
Geosci. Model Dev., 16, 5219–5236, https://doi.org/10.5194/gmd-16-5219-2023, https://doi.org/10.5194/gmd-16-5219-2023, 2023
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Measuring the performance of inversions in linear Bayesian problems is crucial in real-life applications. In this work, we provide analytical forms of the local and global sensitivities of the estimated fluxes with respect to various inputs. We provide methods to uniquely map the observational signal to spatiotemporal domains. Utilizing this, we also show techniques to assess correlations between the Jacobians that naturally translate to nonstationary covariance matrix components.
Taomou Zong, Zhijun Wu, Junrui Wang, Kai Bi, Wenxu Fang, Yanrong Yang, Xuena Yu, Zhier Bao, Xiangxinyue Meng, Yuheng Zhang, Song Guo, Yang Chen, Chunshan Liu, Yue Zhang, Shao-Meng Li, and Min Hu
Atmos. Meas. Tech., 16, 3679–3692, https://doi.org/10.5194/amt-16-3679-2023, https://doi.org/10.5194/amt-16-3679-2023, 2023
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This study developed and characterized an indoor chamber system (AIR) to simulate atmospheric multiphase chemistry processes. The AIR chamber can accurately control temperature and relative humidity (RH) over a broad range and simulate diurnal variation of ambient atmospheric RH. The aerosol generation unit can generate organic-coating seed particles with different phase states. The AIR chamber demonstrates high-quality performance in simulating secondary aerosol formation.
Brendan Byrne, Junjie Liu, Yonghong Yi, Abhishek Chatterjee, Sourish Basu, Rui Cheng, Russell Doughty, Frédéric Chevallier, Kevin W. Bowman, Nicholas C. Parazoo, David Crisp, Xing Li, Jingfeng Xiao, Stephen Sitch, Bertrand Guenet, Feng Deng, Matthew S. Johnson, Sajeev Philip, Patrick C. McGuire, and Charles E. Miller
Biogeosciences, 19, 4779–4799, https://doi.org/10.5194/bg-19-4779-2022, https://doi.org/10.5194/bg-19-4779-2022, 2022
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Plants draw CO2 from the atmosphere during the growing season, while respiration releases CO2 to the atmosphere throughout the year, driving seasonal variations in atmospheric CO2 that can be observed by satellites, such as the Orbiting Carbon Observatory 2 (OCO-2). Using OCO-2 XCO2 data and space-based constraints on plant growth, we show that permafrost-rich northeast Eurasia has a strong seasonal release of CO2 during the autumn, hinting at an unexpectedly large respiration signal from soils.
Katherine L. Hayden, Shao-Meng Li, John Liggio, Michael J. Wheeler, Jeremy J. B. Wentzell, Amy Leithead, Peter Brickell, Richard L. Mittermeier, Zachary Oldham, Cristian M. Mihele, Ralf M. Staebler, Samar G. Moussa, Andrea Darlington, Mengistu Wolde, Daniel Thompson, Jack Chen, Debora Griffin, Ellen Eckert, Jenna C. Ditto, Megan He, and Drew R. Gentner
Atmos. Chem. Phys., 22, 12493–12523, https://doi.org/10.5194/acp-22-12493-2022, https://doi.org/10.5194/acp-22-12493-2022, 2022
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In this study, airborne measurements provided the most detailed characterization, to date, of boreal forest wildfire emissions. Measurements showed a large diversity of air pollutants expanding the volatility range typically reported. A large portion of organic species was unidentified, likely comprised of complex organic compounds. Aircraft-derived emissions improve wildfire chemical speciation and can support reliable model predictions of pollution from boreal forest wildfires.
Chong Han, Hongxing Yang, Kun Li, Patrick Lee, John Liggio, Amy Leithead, and Shao-Meng Li
Atmos. Chem. Phys., 22, 10827–10839, https://doi.org/10.5194/acp-22-10827-2022, https://doi.org/10.5194/acp-22-10827-2022, 2022
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We presented yields and compositions of Si-containing SOAs generated from the reaction of cVMSs (D3–D6) with OH radicals. NOx played a negative role in cVMS SOA formation, while ammonium sulfate seeds enhanced D3–D5 SOA yields at short photochemical ages under high-NOx conditions. The aerosol mass spectra confirmed that the components of cVMS SOAs significantly relied on OH exposure. A global cVMS-derived SOA source strength was estimated in order to understand SOA formation potentials of cVMSs.
Daniel J. Jacob, Daniel J. Varon, Daniel H. Cusworth, Philip E. Dennison, Christian Frankenberg, Ritesh Gautam, Luis Guanter, John Kelley, Jason McKeever, Lesley E. Ott, Benjamin Poulter, Zhen Qu, Andrew K. Thorpe, John R. Worden, and Riley M. Duren
Atmos. Chem. Phys., 22, 9617–9646, https://doi.org/10.5194/acp-22-9617-2022, https://doi.org/10.5194/acp-22-9617-2022, 2022
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We review the capability of satellite observations of atmospheric methane to quantify methane emissions on all scales. We cover retrieval methods, precision requirements, inverse methods for inferring emissions, source detection thresholds, and observations of system completeness. We show that current instruments already enable quantification of regional and national emissions including contributions from large point sources. Coverage and resolution will increase significantly in coming years.
Colm Sweeney, Abhishek Chatterjee, Sonja Wolter, Kathryn McKain, Robert Bogue, Stephen Conley, Tim Newberger, Lei Hu, Lesley Ott, Benjamin Poulter, Luke Schiferl, Brad Weir, Zhen Zhang, and Charles E. Miller
Atmos. Chem. Phys., 22, 6347–6364, https://doi.org/10.5194/acp-22-6347-2022, https://doi.org/10.5194/acp-22-6347-2022, 2022
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The Arctic Carbon Atmospheric Profiles (Arctic-CAP) project demonstrates the utility of aircraft profiles for independent evaluation of model-derived emissions and uptake of atmospheric CO2, CH4, and CO from land and ocean. Comparison with the Goddard Earth Observing System (GEOS) modeling system suggests that fluxes of CO2 are very consistent with observations, while those of CH4 have some regional and seasonal biases, and that CO comparison is complicated by transport errors.
Amy Foulds, Grant Allen, Jacob T. Shaw, Prudence Bateson, Patrick A. Barker, Langwen Huang, Joseph R. Pitt, James D. Lee, Shona E. Wilde, Pamela Dominutti, Ruth M. Purvis, David Lowry, James L. France, Rebecca E. Fisher, Alina Fiehn, Magdalena Pühl, Stéphane J. B. Bauguitte, Stephen A. Conley, Mackenzie L. Smith, Tom Lachlan-Cope, Ignacio Pisso, and Stefan Schwietzke
Atmos. Chem. Phys., 22, 4303–4322, https://doi.org/10.5194/acp-22-4303-2022, https://doi.org/10.5194/acp-22-4303-2022, 2022
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We measured CH4 emissions from 21 offshore oil and gas facilities in the Norwegian Sea in 2019. Measurements compared well with operator-reported emissions but were greatly underestimated when compared with a 2016 global fossil fuel inventory. This study demonstrates the need for up-to-date and accurate inventories for use in research and policy and the important benefits of best-practice reporting methods by operators. Airborne measurements are an effective tool to validate such inventories.
Andrew O. Langford, Christoph J. Senff, Raul J. Alvarez II, Ken C. Aikin, Sunil Baidar, Timothy A. Bonin, W. Alan Brewer, Jerome Brioude, Steven S. Brown, Joel D. Burley, Dani J. Caputi, Stephen A. Conley, Patrick D. Cullis, Zachary C. J. Decker, Stéphanie Evan, Guillaume Kirgis, Meiyun Lin, Mariusz Pagowski, Jeff Peischl, Irina Petropavlovskikh, R. Bradley Pierce, Thomas B. Ryerson, Scott P. Sandberg, Chance W. Sterling, Ann M. Weickmann, and Li Zhang
Atmos. Chem. Phys., 22, 1707–1737, https://doi.org/10.5194/acp-22-1707-2022, https://doi.org/10.5194/acp-22-1707-2022, 2022
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The Fires, Asian, and Stratospheric Transport–Las Vegas Ozone Study (FAST-LVOS) combined lidar, aircraft, and in situ measurements with global models to investigate the contributions of stratospheric intrusions, regional and Asian pollution, and wildfires to background ozone in the southwestern US during May and June 2017 and demonstrated that these processes contributed to background ozone levels that exceeded 70 % of the US National Ambient Air Quality Standard during the 6-week campaign.
Siraput Jongaramrungruang, Georgios Matheou, Andrew K. Thorpe, Zhao-Cheng Zeng, and Christian Frankenberg
Atmos. Meas. Tech., 14, 7999–8017, https://doi.org/10.5194/amt-14-7999-2021, https://doi.org/10.5194/amt-14-7999-2021, 2021
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This study shows how precision error and bias in column methane retrieval change with different instrument specifications and the impact of spectrally complex surface albedos on retrievals. We show how surface interferences can be mitigated with an optimal spectral resolution and a higher polynomial degree in a retrieval process. The findings can inform future satellite instrument designs to have robust observations capable of separating real CH4 plume enhancements from surface interferences.
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Short summary
Accurately estimating greenhouse gas (GHG) emissions is essential to reaching net-zero goals to combat the climate crisis. Airborne box-flights are ideal for assessing regional GHG emissions, as they can attain small error. We compare two box-flight algorithms and found they produce similar results, but daily variability must be considered when deriving emissions inventories. Increasing the consistency and agreement between airborne methods moves us closer to achieving more accurate estimates.
Accurately estimating greenhouse gas (GHG) emissions is essential to reaching net-zero goals to...
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