Satellite observations of atmospheric methane and their value for quantifying methane emissions
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Abstract
Abstract. Methane is a greenhouse gas emitted by a range of natural and anthropogenic sources. Atmospheric methane has been measured continuously from space since 2003, and new instruments are planned for launch in the near future that will greatly expand the capabilities of space-based observations. We review the value of current, future, and proposed satellite observations to better quantify and understand methane emissions through inverse analyses, from the global scale down to the scale of point sources and in combination with suborbital (surface and aircraft) data. Current global observations from Greenhouse Gases Observing Satellite (GOSAT) are of high quality but have sparse spatial coverage. They can quantify methane emissions on a regional scale (100–1000 km) through multiyear averaging. The Tropospheric Monitoring Instrument (TROPOMI), to be launched in 2017, is expected to quantify daily emissions on the regional scale and will also effectively detect large point sources. A different observing strategy by GHGSat (launched in June 2016) is to target limited viewing domains with very fine pixel resolution in order to detect a wide range of methane point sources. Geostationary observation of methane, still in the proposal stage, will have the unique capability of mapping source regions with high resolution, detecting transient "super-emitter" point sources and resolving diurnal variation of emissions from sources such as wetlands and manure. Exploiting these rapidly expanding satellite measurement capabilities to quantify methane emissions requires a parallel effort to construct high-quality spatially and sectorally resolved emission inventories. Partnership between top-down inverse analyses of atmospheric data and bottom-up construction of emission inventories is crucial to better understanding methane emission processes and subsequently informing climate policy.
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Many satellites are equipped with hyperspectral cameras and can perform, to some extent, estimations of CO2, CH4, H2O, and N2O emissions.
“Many satellites are equipped with such cameras and can perform, to some extent, estimations of CO 2 , CH 4 (methane), H 2 O, and N 2 O (nitrous oxide) emissions [73,378].”
From Tackling climate change with machine learning (2023) · cites this paper as [378]
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Self-citationHulley, G., Duren, R., Hopkins, F. M., Hook, S. J., Vance, N., Guillevic, P., Johnson, W. R., Eng, B. T., Mihaly, J. M., Jovanovic, V. M., et al. (2016) · Atmospheric measurement techniques · doi:10.5194/amt-9-2393-2016 · Cited by 94 · see citing works
Self-citationComparison of CH4 inversions based on 15 months of GOSAT and SCIAMACHY observations
Monteil, G., Houweling, S., Butz, A., Guerlet, S., Schepers, D., Hasekamp, O., Frankenberg, C., Scheepmaker, R. A., Aben, I., & Röckmann, T. (2013) · Journal of Geophysical Research Atmospheres · doi:10.1002/2013jd019760 · Cited by 93 · see citing works
Self-citationGanesan, A. L., Manning, A. J., Grant, A., et al. (2015) · Atmospheric chemistry and physics · doi:10.5194/acp-15-6393-2015 · Cited by 91 · see citing works
Damme, M. V., Kruit, R. J. W., Schaap, M., et al. (2014) · Journal of Geophysical Research Atmospheres · doi:10.1002/2014jd021911 · Cited by 90 · see citing works
Validation of ACE-FTS v2.2 methane profiles from the upper troposphere to the lower mesosphere
Maziere, M. M. D., Vigouroux, C., Bernath, P. F., Baron, P., Blumenstock, T., Boone, C. D., Brogniez, C., Catoire, V., Coffey, M. T., Duchatelet, P., et al. (2008) · Atmospheric chemistry and physics · doi:10.5194/acp-8-2421-2008 · Cited by 88 · see citing works
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Mid-upper tropospheric methane retrieval from IASI and its validation
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Extreme-scale UQ for Bayesian inverse problems governed by PDEs
Bui–Thanh, T., Burstedde, C., Ghattas, O. N., Martin, J. L., Stadler, G., & Wilcox, L. C. (2012) · International Conference for High Performance Computing, Networking, Storage and Analysis (SC) · doi:10.1109/sc.2012.56 · Cited by 57 · see citing works
Worden, J. R., Turner, A. J., Bloom, A. A., Kulawik, S. S., Liu, J., Lee, M., Weidner, R. J., Bowman, K. W., Frankenberg, C., Parker, R. J., et al. (2015) · Atmospheric measurement techniques · doi:10.5194/amt-8-3433-2015 · Cited by 56 · see citing works
Self-citationError analysis for CO and CH 4 total column retrievals from SCIAMACHY 2.3 μm spectra
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Estimating regional fluxes of CO 2 and CH 4 using space-borne observations of XCH 4 : XCO 2
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Derivation of tropospheric methane from TCCON CH 4 and HF total column observations
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Constraints on Asian and European sources of methane from CH4‐C2H6‐CO correlations in Asian outflow
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Error correlation between CO 2 and CO as constraint for CO 2 flux inversions using satellite data
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Flagged first, then by citations
Research works printed but not linked: 3
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Cited by
Sorted by citations
Interpreting contemporary trends in atmospheric methane
Turner, A. J., Frankenberg, C., & Kort, E. A. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1814297116 · Cited by 426 · see citing works
Self-citationTackling climate change with machine learning
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- Authors
- Jacob, D. J., Turner, A. J., Maasakkers, J. D., Sheng, J., Sun, K., Liu, X., Chance, K., Aben, I., McKeever, J., & Frankenberg, C.
- Affiliations
- Harvard University (US)
- Smithsonian Astrophysical Observatory (US)
- Space Research Organisation Netherlands (NL)
- GHGSat (Canada) (CA)
- California Institute of Technology (US)
- Corresponding author
- Jacob, Daniel J.
- Turner, Alexander J.
- Maasakkers, Joannes D.
- Sun, Kang
- Liu, Xiong
- Chance, Kelly
- Aben, Ilse
- McKeever, Jason
- Frankenberg, Christian
- ORCID
- Venue
- Atmospheric Chemistry and Physics
- Publisher
- Copernicus GmbH
- Published
- 2016-11-18
- Volume
- 16
- Issue
- 22
- Pages
- 14371-14396
- ISSN
- 1680-7316 (ISSN-L)
- 1680-7324
- OpenAlex
- W2466880394
- Cited by
- 506
- References
- 128
- Citations by year
- 2026: 74 · 2025: 66 · 2024: 58 · 2023: 64 · 2022: 87 · 2021: 49 · 2020: 37 · 2019: 28 · 2018: 29 · 2017: 9 · 2016: 5
- FWCI
- 17.80
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Atmospheric chemistry and physics (publishedVersion, cc-by)
- VU Research Portal (publishedVersion, other-oa)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion, cc-by)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Smithsonian Institution
- U.S. Department of Energy
- National Aeronautics and Space Administration
- Smithsonian Astrophysical Observatory
- Advanced Research Projects Agency
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric and Environmental Gas Dynamics
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Atmospheric chemistry and aerosols
- Physical Sciences › Chemistry › Spectroscopy › Spectroscopy and Laser Applications
- Keywords
- atmospheric methane, methane emissions, satellite remote sensing, inverse modeling, emission inventory, GOSAT, TROPOMI, GHGSat, point source detection, super-emitters, diurnal variation, wetland methane emissions, manure methane, top-down and bottom-up approaches, climate policy
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