Articles | Volume 17, issue 4
https://doi.org/10.5194/amt-17-1347-2024
© 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-17-1347-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Feb 2024
Research article |
| 29 Feb 2024
| 29 Feb 2024
Level0 to Level1B processor for MethaneAIR
Eamon K. Conway
CORRESPONDING AUTHOR
Center for Astrophysics, Harvard and Smithsonian, Atomic and Molecular Physics Division, Cambridge, MA, USA
Kostas Research Institute at Northeastern University, Burlington, MA, USA
Amir H. Souri
Center for Astrophysics, Harvard and Smithsonian, Atomic and Molecular Physics Division, Cambridge, MA, USA
Joshua Benmergui
Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Department of Civil, Structural and Environmental Engineering, University at Buffalo, Buffalo, NY, USA
Research and Education in Energy, Environment and Water Institute, University at Buffalo, Buffalo, NY, USA
Xiong Liu
Center for Astrophysics, Harvard and Smithsonian, Atomic and Molecular Physics Division, Cambridge, MA, USA
Carly Staebell
Department of Civil, Structural and Environmental Engineering, University at Buffalo, Buffalo, NY, USA
Christopher Chan Miller
Center for Astrophysics, Harvard and Smithsonian, Atomic and Molecular Physics Division, Cambridge, MA, USA
Jonathan Franklin
Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Jenna Samra
Center for Astrophysics, Harvard and Smithsonian, Atomic and Molecular Physics Division, Cambridge, MA, USA
Jonas Wilzewski
Center for Astrophysics, Harvard and Smithsonian, Atomic and Molecular Physics Division, Cambridge, MA, USA
Sebastien Roche
Center for Astrophysics, Harvard and Smithsonian, Atomic and Molecular Physics Division, Cambridge, MA, USA
Bingkun Luo
Center for Astrophysics, Harvard and Smithsonian, Atomic and Molecular Physics Division, Cambridge, MA, USA
Apisada Chulakadabba
Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Maryann Sargent
Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Jacob Hohl
Center for Astrophysics, Harvard and Smithsonian, Atomic and Molecular Physics Division, Cambridge, MA, USA
Bruce Daube
Center for Astrophysics, Harvard and Smithsonian, Atomic and Molecular Physics Division, Cambridge, MA, USA
Iouli Gordon
Center for Astrophysics, Harvard and Smithsonian, Atomic and Molecular Physics Division, Cambridge, MA, USA
Kelly Chance
Center for Astrophysics, Harvard and Smithsonian, Atomic and Molecular Physics Division, Cambridge, MA, USA
Steven Wofsy
Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, USA
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Cited
13 citations as recorded by crossref.
- High-resolution multi-pollutant mapping in Denver, Colorado . Priyanka deSouza et al. https://doi.org/10.1016/j.aeaoa.2025.100364
- 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
- 温室气体成像光谱仪的研制与性能优化 李. LI Haoran et al. https://doi.org/10.3788/IRLA20250303
- Seasonal Landfill Methane Emissions Driven by Temperature and Pressure A. Hallward-Driemeier et al. https://doi.org/10.1021/acs.est.5c16757
- 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
- Constructing a measurement-based spatially explicit inventory of US oil and gas methane emissions (2021) M. Omara et al. https://doi.org/10.5194/essd-16-3973-2024
- Intensity-Preserving Robust Fusion for Multi-Frame Spatial Heterodyne Spectral Recovery Toward Atmospheric Remote Sensing X. Liao et al. https://doi.org/10.3390/atmos17070695
- Calibration of Short-Wave Infrared Spectrometer for Atmosphere Methane Monitoring H. Li et al. https://doi.org/10.3390/rs17050851
- Saturated absorption spectroscopy of methane around 1667 nm Y. Ding et al. https://doi.org/10.1063/1674-0068/cjcp2407090
- Methane retrieval from MethaneAIR using the CO2 proxy approach: a demonstration for the upcoming MethaneSAT mission C. Chan Miller et al. https://doi.org/10.5194/amt-17-5429-2024
- Detection and quantification of methane plumes with the MethaneAIR airborne spectrometer L. Guanter et al. https://doi.org/10.5194/amt-18-3857-2025
- 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
- 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
13 citations as recorded by crossref.
- High-resolution multi-pollutant mapping in Denver, Colorado . Priyanka deSouza et al. https://doi.org/10.1016/j.aeaoa.2025.100364
- 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
- 温室气体成像光谱仪的研制与性能优化 李. LI Haoran et al. https://doi.org/10.3788/IRLA20250303
- Seasonal Landfill Methane Emissions Driven by Temperature and Pressure A. Hallward-Driemeier et al. https://doi.org/10.1021/acs.est.5c16757
- 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
- Constructing a measurement-based spatially explicit inventory of US oil and gas methane emissions (2021) M. Omara et al. https://doi.org/10.5194/essd-16-3973-2024
- Intensity-Preserving Robust Fusion for Multi-Frame Spatial Heterodyne Spectral Recovery Toward Atmospheric Remote Sensing X. Liao et al. https://doi.org/10.3390/atmos17070695
- Calibration of Short-Wave Infrared Spectrometer for Atmosphere Methane Monitoring H. Li et al. https://doi.org/10.3390/rs17050851
- Saturated absorption spectroscopy of methane around 1667 nm Y. Ding et al. https://doi.org/10.1063/1674-0068/cjcp2407090
- Methane retrieval from MethaneAIR using the CO2 proxy approach: a demonstration for the upcoming MethaneSAT mission C. Chan Miller et al. https://doi.org/10.5194/amt-17-5429-2024
- Detection and quantification of methane plumes with the MethaneAIR airborne spectrometer L. Guanter et al. https://doi.org/10.5194/amt-18-3857-2025
- 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
- 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
Saved (final revised paper)
Latest update: 02 Aug 2026
Short summary
The work presented here describes the processes required to convert raw sensor data for the MethaneAIR instrument to geometrically calibrated data. Each algorithm is described in detail. MethaneAIR is the airborne simulator for MethaneSAT, a new satellite under development by MethaneSAT LLC, a subsidiary of the EDF. MethaneSAT's goals are to precisely map over 80 % of the production sources of methane emissions from oil and gas fields across the globe to a high degree of accuracy.
The work presented here describes the processes required to convert raw sensor data for the...
