CMS

Chen, Z., et al. (2023), Satellite quantification of methane emissions and oil–gas methane intensities from individual countries in the Middle East and North Africa: implications for climate action, Atmos. Chem. Phys., doi:10.5194/acp-23-5945-2023.

Lu, X., et al. (2023), RESEARCH ARTICLE | EARTH, ATMOSPHERIC, AND PLANETARY SCIENCES OPEN ACCESS Observation-derived 2010-2019 trends in methane emissions and intensities from US oil and gas fields tied to activity metrics, Proc. Natl. Acad. Sci., doi:10.1073/pnas.2217900120.

Qu, Z., et al. (2022), Attribution of the 2020 surge in atmospheric methane by inverse analysis of GOSAT observations, Environ. Res. Lett., 17, 094003, doi:10.1088/1748-9326/ac8754.

Chen, Z., et al. (2023), Methane emissions from China: a high-resolution inversion of TROPOMI satellite observations, Atmos. Chem. Phys., doi:10.5194/acp-22-10809-2022.

Jacob, D.J., et al. (2023), Quantifying methane emissions from the global scale down to point sources using satellite observations of atmospheric methane, Atmos. Chem. Phys., doi:10.5194/acp-22-9617-2022.

Varon, D.J., et al. (2023), Integrated Methane Inversion (IMI 1.0): a user-friendly, cloud-based facility for inferring high-resolution methane emissions from TROPOMI satellite observations, Geosci. Model. Dev., doi:10.5194/gmd-15-5787-2022.

Delwiche, K.B., et al. (2022), Estimating Drivers and Pathways for Hydroelectric Reservoir Methane Emissions Using a New Mechanistic Model, J. Geophys. Res., 127, e2022JG006908, doi:10.1029/2022JG006908.

Shen, L., et al. (2023), Satellite quantification of oil and natural gas methane emissions in the US and Canada including contributions from individual basins, Atmos. Chem. Phys., doi:10.5194/acp-22-11203-2022.

Scarpelli, T.R., et al. (2022), Updated Global Fuel Exploitation Inventory (GFEI) for methane emissions from the oil, gas, and coal sectors: evaluation with inversions of atmospheric methane observations, Atmos. Chem. Phys., 22, 3235-3249, doi:10.5194/acp-22-3235-2022.