Articles | Volume 19, issue 20
https://doi.org/10.5194/amt-19-6643-2026
https://doi.org/10.5194/amt-19-6643-2026
Research article
 | 
21 Oct 2026
Research article |  | 21 Oct 2026

Performance validation of the GHGSat methane constellation via controlled releases

Antoine Ramier, Hanford Deglint, Ariane Deslieres, Lia Formenti, Marianne Girard, Dylan Jervis, David J. Marshall, Jean-Philippe W. MacLean, Jason McKeever, Andrew McKell, Mathias Strupler, and Ewan Tarrant

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Cited articles

Ayasse, A. K., Cusworth, D. H., Howell, K., O'Neill, K., Conrad, B. M., Johnson, M. R., Heckler, J., Asner, G. P., and Duren, R.: Probability of Detection and Multi-Sensor Persistence of Methane Emissions from Coincident Airborne and Satellite Observations, Environ. Sci. Technol., 58, 21536–21544, https://doi.org/10.1021/acs.est.4c06702, 2024. 
Bell, C., Rutherford, J., Brandt, A., Sherwin, E., Vaughn, T., and Zimmerle, D.: Single-blind determination of methane detection limits and quantification accuracy using aircraft-based LiDAR, Elementa: Science of the Anthropocene, 10, 00080, https://doi.org/10.1525/elementa.2022.00080, 2022. 
Blackmore, D. C., Hickey, J.-P., Wigle, A., Osadetz, K., and Daun, K. J.: A Bayesian technique for quantifying methane emissions using vehicle-mounted sensors with a Gaussian plume model, Atmos. Environ., 344, 121002, https://doi.org/10.1016/j.atmosenv.2024.121002, 2025. 
Bourlon, E., Hossain, R., Buntov, P., Dudak, Y., Risk, D., Farjami, F., Martino, R., Amaral, M., Tarakki, N., Coyle, L., Bailey, A., and Khaleghi, A.: Measurement Data from the FluxLab 2024 and 2025 Controlled Release Campaigns at the Simulation Facility for Landfill Emission Experiments (SIMFLEX) (4.0), Borealis [data set], https://doi.org/10.5683/SP3/ZYVDC1, 2026. 
Bruno, J. H., Jervis, D., Varon, D. J., and Jacob, D. J.: U-Plume: automated algorithm for plume detection and source quantification by satellite point-source imagers, Atmos. Meas. Tech., 17, 2625–2636, https://doi.org/10.5194/amt-17-2625-2024, 2024. 
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Short summary
We validated the GHGSat fleet against a large set of precisely measured emissions from 2021 to 2026 and built a model linking detection probability to leak rate, wind, retrieval noise, and resolution. In typical conditions the satellites detect a leak of about 100 kilograms per hour half the time and quantify its rate accurately. This sets a clear benchmark for how reliably satellites detect and measure methane leaks, which is essential for trustworthy emissions reporting and mitigation.
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