Articles | Volume 23, issue 5
https://doi.org/10.5194/acp-23-3325-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-23-3325-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A high-resolution satellite-based map of global methane emissions reveals missing wetland, fossil fuel, and monsoon sources
Xueying Yu
Department of Soil, Water, and Climate, University of Minnesota, Saint
Paul, MN 55108, USA
Department of Earth System Science, Stanford University, Palo Alto,
CA 94305, USA
Department of Soil, Water, and Climate, University of Minnesota, Saint
Paul, MN 55108, USA
Daven K. Henze
Department of Mechanical Engineering, University of Colorado, Boulder,
CO 80309, USA
Alexander J. Turner
Department of Atmospheric Sciences, University of Washington, Seattle,
DC 98195, USA
Alba Lorente Delgado
Earth Science Group, SRON Netherlands Institute for Space Research,
Leiden, the Netherlands
A. Anthony Bloom
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Jianxiong Sheng
Center for Global Change Science, Massachusetts Institute of
Technology, Cambridge, MA 02139, USA
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Cited
10 citations as recorded by crossref.
- A review of organophosphonates, their natural and anthropogenic sources, environmental fate and impact on microbial greenhouse gases emissions – Identifying knowledge gaps A. Furtak et al. 10.1016/j.jenvman.2024.120453
- Human activities now fuel two-thirds of global methane emissions R. Jackson et al. 10.1088/1748-9326/ad6463
- Middle East oil and gas methane emissions signature captured at a remote site using light hydrocarbon tracers E. Germain-Piaulenne et al. 10.1016/j.aeaoa.2024.100253
- Bottom‐Up Evaluation of the Methane Budget in Asia and Its Subregions A. Ito et al. 10.1029/2023GB007723
- Implementation of a satellite-based tool for the quantification of CH4 emissions over Europe (AUMIA v1.0) – Part 1: forward modelling evaluation against near-surface and satellite data A. Vara-Vela et al. 10.5194/gmd-16-6413-2023
- Assessing methane emissions from collapsing Venezuelan oil production using TROPOMI B. Nathan et al. 10.5194/acp-24-6845-2024
- Internal Variability Increased Arctic Amplification During 1980–2022 A. Sweeney et al. 10.1029/2023GL106060
- Improved estimation of carbon dioxide and methane using machine learning with satellite observations over the Arabian Peninsula M. Alcibahy et al. 10.1038/s41598-024-84593-9
- Methane-cycling microbial communities from Amazon floodplains and upland forests respond differently to simulated climate change scenarios J. Gontijo et al. 10.1186/s40793-024-00596-z
- Data driven analysis of atmospheric methane concentrations as function of geographic, land cover type and season C. Karoff & A. Vara-Vela 10.3389/feart.2023.1119977
9 citations as recorded by crossref.
- A review of organophosphonates, their natural and anthropogenic sources, environmental fate and impact on microbial greenhouse gases emissions – Identifying knowledge gaps A. Furtak et al. 10.1016/j.jenvman.2024.120453
- Human activities now fuel two-thirds of global methane emissions R. Jackson et al. 10.1088/1748-9326/ad6463
- Middle East oil and gas methane emissions signature captured at a remote site using light hydrocarbon tracers E. Germain-Piaulenne et al. 10.1016/j.aeaoa.2024.100253
- Bottom‐Up Evaluation of the Methane Budget in Asia and Its Subregions A. Ito et al. 10.1029/2023GB007723
- Implementation of a satellite-based tool for the quantification of CH4 emissions over Europe (AUMIA v1.0) – Part 1: forward modelling evaluation against near-surface and satellite data A. Vara-Vela et al. 10.5194/gmd-16-6413-2023
- Assessing methane emissions from collapsing Venezuelan oil production using TROPOMI B. Nathan et al. 10.5194/acp-24-6845-2024
- Internal Variability Increased Arctic Amplification During 1980–2022 A. Sweeney et al. 10.1029/2023GL106060
- Improved estimation of carbon dioxide and methane using machine learning with satellite observations over the Arabian Peninsula M. Alcibahy et al. 10.1038/s41598-024-84593-9
- Methane-cycling microbial communities from Amazon floodplains and upland forests respond differently to simulated climate change scenarios J. Gontijo et al. 10.1186/s40793-024-00596-z
Latest update: 04 Feb 2025
Short summary
We combine satellite measurements with a novel downscaling method to map global methane emissions at 0.1°×0.1° resolution. These fine-scale emission estimates reveal unreported emission hotspots and shed light on the roles of agriculture, wetlands, and fossil fuels for regional methane budgets. The satellite-derived emissions point in particular to missing fossil fuel emissions in the Middle East and to a large emission underestimate in South Asia that appears to be tied to monsoon rainfall.
We combine satellite measurements with a novel downscaling method to map global methane...
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