This page lists the publications in the ESD Publications database, sorted by first author and year. To filter the list, select one or more Research Program(s) to filter the list, or else specify a publication year (e.g., 2011). Options to view other pages of the list are provided at the bottom of the page.

Publication Citation Research Program(s)
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. CCEP
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. CCEP
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. CCEP
Johnson, M. S., et al. (2023), V. (2021). Spatiotemporal methane emission from global reservoirs, J. Geophys. Res., e2021JG006305, doi:10.1029/2021JG006305. THP, IDS, , CCEP
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. CCEP
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. CCEP
Varon, D. J., et al. (2023), Continuous weekly monitoring of methane emissions from the Permian Basin by inversion of TROPOMI satellite observations, Atmos. Chem. Phys., doi:10.5194/acp-23-7503-2023. CCEP
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. CCEP
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