Articles | Volume 14, issue 5
https://doi.org/10.5194/amt-14-3737-2021
© Author(s) 2021. 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-14-3737-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 May 2021
Research article |
| 25 May 2021
| 25 May 2021
Spectral calibration of the MethaneAIR instrument
Carly Staebell
Department of Civil, Structural and Environmental Engineering, University at Buffalo, Buffalo, NY, 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
Jenna Samra
Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, USA
Jonathan Franklin
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Christopher Chan Miller
Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, USA
Xiong Liu
Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, USA
Eamon Conway
Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, USA
Kelly Chance
Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, USA
Scott Milligan
Headwall Photonics, Bolton, MA, USA
Steven Wofsy
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.
- Validation of open-path dual-comb spectroscopy against an O2 background N. Malarich et al. 10.1364/OE.480301
- An optimal estimation-based retrieval of upper atmospheric oxygen airglow and temperature from SCIAMACHY limb observations K. Sun et al. 10.5194/amt-15-3721-2022
- Quantification of methane emitted by ruminants: a review of methods L. Tedeschi et al. 10.1093/jas/skac197
- Constructing a measurement-based spatially explicit inventory of US oil and gas methane emissions (2021) M. Omara et al. 10.5194/essd-16-3973-2024
- Methane retrieval from MethaneAIR using the CO2 proxy approach: a demonstration for the upcoming MethaneSAT mission C. Chan Miller et al. 10.5194/amt-17-5429-2024
- A XCO Retrieval Algorithm Coupled Spatial Correlation for the Aerosol and Carbon Detection Lidar Z. Pei et al. 10.1016/j.atmosenv.2023.119933
- Intelligent pointing increases the fraction of cloud-free CO2 and CH4 observations from space R. Nassar et al. 10.3389/frsen.2023.1233803
- Methane point source quantification using MethaneAIR: a new airborne imaging spectrometer A. Chulakadabba et al. 10.5194/amt-16-5771-2023
- Ground-based remote sensing of CH4 and N2O fluxes from a wastewater treatment plant and nearby biogas production with discoveries of unexpected sources M. Gålfalk et al. 10.1016/j.envres.2021.111978
- Developing a spatially explicit global oil and gas infrastructure database for characterizing methane emission sources at high resolution M. Omara et al. 10.5194/essd-15-3761-2023
- Automatic Monitoring Methods for Greenhouse and Hazardous Gases Emitted from Ruminant Production Systems: A Review W. Ma et al. 10.3390/s24134423
- Calibration of Short-Wave Infrared Spectrometer for Atmosphere Methane Monitoring H. Li et al. 10.3390/rs17050851
- Level0 to Level1B processor for MethaneAIR E. Conway et al. 10.5194/amt-17-1347-2024
13 citations as recorded by crossref.
- Validation of open-path dual-comb spectroscopy against an O2 background N. Malarich et al. 10.1364/OE.480301
- An optimal estimation-based retrieval of upper atmospheric oxygen airglow and temperature from SCIAMACHY limb observations K. Sun et al. 10.5194/amt-15-3721-2022
- Quantification of methane emitted by ruminants: a review of methods L. Tedeschi et al. 10.1093/jas/skac197
- Constructing a measurement-based spatially explicit inventory of US oil and gas methane emissions (2021) M. Omara et al. 10.5194/essd-16-3973-2024
- Methane retrieval from MethaneAIR using the CO2 proxy approach: a demonstration for the upcoming MethaneSAT mission C. Chan Miller et al. 10.5194/amt-17-5429-2024
- A XCO Retrieval Algorithm Coupled Spatial Correlation for the Aerosol and Carbon Detection Lidar Z. Pei et al. 10.1016/j.atmosenv.2023.119933
- Intelligent pointing increases the fraction of cloud-free CO2 and CH4 observations from space R. Nassar et al. 10.3389/frsen.2023.1233803
- Methane point source quantification using MethaneAIR: a new airborne imaging spectrometer A. Chulakadabba et al. 10.5194/amt-16-5771-2023
- Ground-based remote sensing of CH4 and N2O fluxes from a wastewater treatment plant and nearby biogas production with discoveries of unexpected sources M. Gålfalk et al. 10.1016/j.envres.2021.111978
- Developing a spatially explicit global oil and gas infrastructure database for characterizing methane emission sources at high resolution M. Omara et al. 10.5194/essd-15-3761-2023
- Automatic Monitoring Methods for Greenhouse and Hazardous Gases Emitted from Ruminant Production Systems: A Review W. Ma et al. 10.3390/s24134423
- Calibration of Short-Wave Infrared Spectrometer for Atmosphere Methane Monitoring H. Li et al. 10.3390/rs17050851
- Level0 to Level1B processor for MethaneAIR E. Conway et al. 10.5194/amt-17-1347-2024
Latest update: 05 Jul 2025
Short summary
Given the high global warming potential of CH4, the identification and subsequent reduction of anthropogenic CH4 emissions presents a significant opportunity for climate change mitigation. Satellites are an integral piece of this puzzle, providing data to quantify emissions at a variety of spatial scales. This work presents the spectral calibration of MethaneAIR, the airborne instrument used as a test bed for the forthcoming MethaneSAT satellite.
Given the high global warming potential of CH4, the identification and subsequent reduction of...
