Articles | Volume 17, issue 18
https://doi.org/10.5194/amt-17-5429-2024
© Author(s) 2024. 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-17-5429-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
16 Sep 2024
Research article | Highlight paper |
| 16 Sep 2024
| 16 Sep 2024
Methane retrieval from MethaneAIR using the CO2 proxy approach: a demonstration for the upcoming MethaneSAT mission
Christopher Chan Miller
CORRESPONDING AUTHOR
Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
Center for Astrophysics, Harvard & Smithsonian, Cambridge, Massachusetts, USA
Environmental Defense Fund, New York, New York, USA
Climate Change Research Centre, University of New South Wales, Kensington, New South Wales, Australia
Sébastien Roche
Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
Center for Astrophysics, Harvard & Smithsonian, Cambridge, Massachusetts, USA
Environmental Defense Fund, New York, New York, USA
Jonas S. Wilzewski
Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
Center for Astrophysics, Harvard & Smithsonian, Cambridge, Massachusetts, USA
now at: EUMETSAT, Eumetsat Allee 1, 64295 Darmstadt, Germany
Xiong Liu
Center for Astrophysics, Harvard & Smithsonian, Cambridge, Massachusetts, USA
Kelly Chance
Center for Astrophysics, Harvard & Smithsonian, Cambridge, Massachusetts, USA
Amir H. Souri
Center for Astrophysics, Harvard & Smithsonian, Cambridge, Massachusetts, USA
Eamon Conway
Center for Astrophysics, Harvard & Smithsonian, Cambridge, Massachusetts, USA
Kostas Research Institute for Homeland Security, Northeastern University, Burlington, Massachusetts, USA
Bingkun Luo
Center for Astrophysics, Harvard & Smithsonian, Cambridge, Massachusetts, USA
Jenna Samra
Center for Astrophysics, Harvard & Smithsonian, Cambridge, Massachusetts, USA
Jacob Hawthorne
Center for Astrophysics, Harvard & Smithsonian, Cambridge, Massachusetts, USA
Department of Civil, Structural and Environmental Engineering, University at Buffalo, Buffalo, New York, USA
Research and Education in Energy, Environment and Water Institute, University at Buffalo, Buffalo, New York, USA
Carly Staebell
Department of Civil, Structural and Environmental Engineering, University at Buffalo, Buffalo, New York, USA
Apisada Chulakadabba
Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
Maryann Sargent
Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
Joshua S. Benmergui
Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
Environmental Defense Fund, New York, New York, USA
Jonathan E. Franklin
Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
Bruce C. Daube
Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
Department of Environmental Science, Baylor University, Waco, Texas, USA
Joshua L. Laughner
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
Bianca C. Baier
NOAA Global Monitoring Laboratory, Boulder, Colorado, USA
Ritesh Gautam
Environmental Defense Fund, New York, New York, USA
Mark Omara
Environmental Defense Fund, New York, New York, USA
Steven C. Wofsy
Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
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Cited
31 citations as recorded by crossref.
- Analysis of Methane (CH4) Distribution in Northeast Asia Based on Satellite Measurement Data J. Koo et al. https://doi.org/10.5572/KOSAE.2025.41.5.826
- New perspectives on temperate inland wetlands as natural climate solutions under different CO2-equivalent metrics S. Ma et al. https://doi.org/10.1038/s41612-024-00778-z
- Relating Multi-Scale Plume Detection and Area Estimates of Methane Emissions: A Theoretical and Empirical Analysis S. Pandey et al. https://doi.org/10.1021/acs.est.4c07415
- Surveying methane point-source super-emissions across oil and gas basins with MethaneSAT L. Guanter et al. https://doi.org/10.5194/acp-26-2941-2026
- Seasonal Landfill Methane Emissions Driven by Temperature and Pressure A. Hallward-Driemeier et al. https://doi.org/10.1021/acs.est.5c16757
- The Carbon Mapper emissions monitoring system R. Duren et al. https://doi.org/10.5194/amt-18-6933-2025
- Global Estimates of Daily Gapless Atmospheric XCH4 Concentrations From Satellite and Reanalysis Data During 2003–2020 Y. Qu et al. https://doi.org/10.1109/TGRS.2025.3593486
- Comparing the performance of different hyperspectral satellite imaging spectroscopy in mapping methane point-source emissions F. Li et al. https://doi.org/10.1016/j.rse.2025.115224
- Rapid Methane Flux Estimation Combining MethaneSAT and Sentinel‐5P Observations: A Case Study of Turkmenistan Y. Huang et al. https://doi.org/10.1029/2025GL119369
- Calibration of Short-Wave Infrared Spectrometer for Atmosphere Methane Monitoring H. Li et al. https://doi.org/10.3390/rs17050851
- The HITRAN2024 methane update T. Bertin et al. https://doi.org/10.1016/j.jqsrt.2025.109736
- Deep Learning for Clouds and Cloud Shadow Segmentation in Methane Satellite and Airborne Imaging Spectroscopy M. Pérez-Carrasco et al. https://doi.org/10.1109/TGRS.2026.3672371
- Improved Quantification of Methane Point-Source Emissions from Hyperspectral Imagery Using a Spectrally Corrected Levenberg–Marquardt Matched Filter Z. He et al. https://doi.org/10.3390/rs18081195
- Satellite-Derived Approaches for Coal Mine Methane Estimation: A Review A. Chauhan & S. Raval https://doi.org/10.3390/rs17213652
- Assessment of methane emissions from US onshore oil and gas production using MethaneAIR measurements K. MacKay et al. https://doi.org/10.5194/acp-26-1179-2026
- Sectoral contributions of high-emitting methane point sources from major US onshore oil and gas producing basins using airborne measurements from MethaneAIR J. Warren et al. https://doi.org/10.5194/acp-25-10661-2025
- Air pollution observation—bridging spaceborne to unmanned airborne remote sensing: a systematic review and meta-analysis F. Javan et al. https://doi.org/10.1007/s11869-025-01771-y
- Instrument Performance Analysis for Methane Point Source Retrieval and Estimation Using Remote Sensing Technique Y. Jiang et al. https://doi.org/10.3390/rs17040634
- 碧空一号卫星大气甲烷羽流探测及点源排放量遥感分析（特邀） 何. He Zhuo et al. https://doi.org/10.3788/AOSOL250483
- An Improved Workflow in Mass Balance Approach for Estimating Regional Methane Emission Rate Using Satellite Measurements J. Bian et al. https://doi.org/10.1007/s41976-025-00237-0
- Assessing the design of integrated methane sensing networks L. Patel & J. Zenker https://doi.org/10.1088/1748-9326/ad893d
- Small emission sources in aggregate disproportionately account for a large majority of total methane emissions from the US oil and gas sector J. Williams et al. https://doi.org/10.5194/acp-25-1513-2025
- Detection of elevated CO₂ and CH₄ emissions from power plant and landfill sites using airborne and spaceborne imaging spectroscopy H. Varchand et al. https://doi.org/10.1016/j.apr.2025.102607
- Impact of stray light on greenhouse gas concentration retrievals and emission estimates as observed with the passive airborne remote sensing imager MAMAP2D-Light O. Huhs et al. https://doi.org/10.5194/amt-19-871-2026
- Global Identification of Solid Waste Methane Super Emitters Using Hyperspectral Satellites X. Zhang et al. https://doi.org/10.1021/acs.est.4c14196
- Sensitivity of Airborne Methane Retrieval Algorithms (MF, ACRWL1MF, and DOAS) to Surface Albedo and Types: Hyperspectral Simulation Assessment J. Chen et al. https://doi.org/10.3390/atmos16111224
- Saturated absorption spectroscopy of methane around 1667 nm Y. Ding et al. https://doi.org/10.1063/1674-0068/cjcp2407090
- Detection and quantification of methane plumes with the MethaneAIR airborne spectrometer L. Guanter et al. https://doi.org/10.5194/amt-18-3857-2025
- High-resolution multi-pollutant mapping in Denver, Colorado . Priyanka deSouza et al. https://doi.org/10.1016/j.aeaoa.2025.100364
- High-Resolution Global Methane Mapping: Advances in Satellite Remote Sensing, Machine Learning, and Policy Frameworks A. Singh & . Madhubala https://doi.org/10.3390/methane5030021
- Methane intensity and emissions across major oil and gas basins and individual jurisdictions using MethaneSAT observations J. Williams et al. https://doi.org/10.5194/acp-26-5961-2026
31 citations as recorded by crossref.
- Analysis of Methane (CH4) Distribution in Northeast Asia Based on Satellite Measurement Data J. Koo et al. https://doi.org/10.5572/KOSAE.2025.41.5.826
- New perspectives on temperate inland wetlands as natural climate solutions under different CO2-equivalent metrics S. Ma et al. https://doi.org/10.1038/s41612-024-00778-z
- Relating Multi-Scale Plume Detection and Area Estimates of Methane Emissions: A Theoretical and Empirical Analysis S. Pandey et al. https://doi.org/10.1021/acs.est.4c07415
- Surveying methane point-source super-emissions across oil and gas basins with MethaneSAT L. Guanter et al. https://doi.org/10.5194/acp-26-2941-2026
- Seasonal Landfill Methane Emissions Driven by Temperature and Pressure A. Hallward-Driemeier et al. https://doi.org/10.1021/acs.est.5c16757
- The Carbon Mapper emissions monitoring system R. Duren et al. https://doi.org/10.5194/amt-18-6933-2025
- Global Estimates of Daily Gapless Atmospheric XCH4 Concentrations From Satellite and Reanalysis Data During 2003–2020 Y. Qu et al. https://doi.org/10.1109/TGRS.2025.3593486
- Comparing the performance of different hyperspectral satellite imaging spectroscopy in mapping methane point-source emissions F. Li et al. https://doi.org/10.1016/j.rse.2025.115224
- Rapid Methane Flux Estimation Combining MethaneSAT and Sentinel‐5P Observations: A Case Study of Turkmenistan Y. Huang et al. https://doi.org/10.1029/2025GL119369
- Calibration of Short-Wave Infrared Spectrometer for Atmosphere Methane Monitoring H. Li et al. https://doi.org/10.3390/rs17050851
- The HITRAN2024 methane update T. Bertin et al. https://doi.org/10.1016/j.jqsrt.2025.109736
- Deep Learning for Clouds and Cloud Shadow Segmentation in Methane Satellite and Airborne Imaging Spectroscopy M. Pérez-Carrasco et al. https://doi.org/10.1109/TGRS.2026.3672371
- Improved Quantification of Methane Point-Source Emissions from Hyperspectral Imagery Using a Spectrally Corrected Levenberg–Marquardt Matched Filter Z. He et al. https://doi.org/10.3390/rs18081195
- Satellite-Derived Approaches for Coal Mine Methane Estimation: A Review A. Chauhan & S. Raval https://doi.org/10.3390/rs17213652
- Assessment of methane emissions from US onshore oil and gas production using MethaneAIR measurements K. MacKay et al. https://doi.org/10.5194/acp-26-1179-2026
- Sectoral contributions of high-emitting methane point sources from major US onshore oil and gas producing basins using airborne measurements from MethaneAIR J. Warren et al. https://doi.org/10.5194/acp-25-10661-2025
- Air pollution observation—bridging spaceborne to unmanned airborne remote sensing: a systematic review and meta-analysis F. Javan et al. https://doi.org/10.1007/s11869-025-01771-y
- Instrument Performance Analysis for Methane Point Source Retrieval and Estimation Using Remote Sensing Technique Y. Jiang et al. https://doi.org/10.3390/rs17040634
- 碧空一号卫星大气甲烷羽流探测及点源排放量遥感分析（特邀） 何. He Zhuo et al. https://doi.org/10.3788/AOSOL250483
- An Improved Workflow in Mass Balance Approach for Estimating Regional Methane Emission Rate Using Satellite Measurements J. Bian et al. https://doi.org/10.1007/s41976-025-00237-0
- Assessing the design of integrated methane sensing networks L. Patel & J. Zenker https://doi.org/10.1088/1748-9326/ad893d
- Small emission sources in aggregate disproportionately account for a large majority of total methane emissions from the US oil and gas sector J. Williams et al. https://doi.org/10.5194/acp-25-1513-2025
- Detection of elevated CO₂ and CH₄ emissions from power plant and landfill sites using airborne and spaceborne imaging spectroscopy H. Varchand et al. https://doi.org/10.1016/j.apr.2025.102607
- Impact of stray light on greenhouse gas concentration retrievals and emission estimates as observed with the passive airborne remote sensing imager MAMAP2D-Light O. Huhs et al. https://doi.org/10.5194/amt-19-871-2026
- Global Identification of Solid Waste Methane Super Emitters Using Hyperspectral Satellites X. Zhang et al. https://doi.org/10.1021/acs.est.4c14196
- Sensitivity of Airborne Methane Retrieval Algorithms (MF, ACRWL1MF, and DOAS) to Surface Albedo and Types: Hyperspectral Simulation Assessment J. Chen et al. https://doi.org/10.3390/atmos16111224
- Saturated absorption spectroscopy of methane around 1667 nm Y. Ding et al. https://doi.org/10.1063/1674-0068/cjcp2407090
- Detection and quantification of methane plumes with the MethaneAIR airborne spectrometer L. Guanter et al. https://doi.org/10.5194/amt-18-3857-2025
- High-resolution multi-pollutant mapping in Denver, Colorado . Priyanka deSouza et al. https://doi.org/10.1016/j.aeaoa.2025.100364
- High-Resolution Global Methane Mapping: Advances in Satellite Remote Sensing, Machine Learning, and Policy Frameworks A. Singh & . Madhubala https://doi.org/10.3390/methane5030021
- Methane intensity and emissions across major oil and gas basins and individual jurisdictions using MethaneSAT observations J. Williams et al. https://doi.org/10.5194/acp-26-5961-2026
Saved (final revised paper)
Latest update: 17 Jul 2026
Editorial statement
This is an important manuscript documenting performances of MethaneAIR imaging spectrometer for accurately measure emissions of CH4 from oil and gas production and processing facilities The MethaneAIR is a precursor of MethaneSAT, a small satellite intended to revolutionize measurements and modeling of emissions of CH4 at regional (100s of km) and fine scales (< 1 km), across the globe. Its deployment onboard the NSF Gulfsteam-V aircraft is an important step for validation and demonstration of MethaneSAT. The paper demonstrates the instrument's ability to quantify methane emission at various scale and concludes successfully the pre-launch validation phase of MethaneSat.
This is an important manuscript documenting performances of MethaneAIR imaging spectrometer for...
Short summary
MethaneSAT is an upcoming satellite mission designed to monitor methane emissions from the oil and gas (O&G) industry globally. Here, we present observations from the first flight campaign of MethaneAIR, a MethaneSAT-like instrument mounted on an aircraft. MethaneAIR can map methane with high precision and accuracy over a typically sized oil and gas basin (~200 km2) in a single flight. This paper demonstrates the capability of the upcoming satellite to routinely track global O&G emissions.
MethaneSAT is an upcoming satellite mission designed to monitor methane emissions from the oil...
