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.
Research article
| 
17 Mar 2023
Research article |
| 17 Mar 2023
| 17 Mar 2023
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
23 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.
- Human activities now fuel two-thirds of global methane emissions R. Jackson et al.
- Global Methane Budget 2000–2020 M. Saunois et al.
- Worldwide inference of national methane emissions by inversion of satellite observations with UNFCCC prior estimates J. East et al.
- How can we trust TROPOMI based methane emissions estimation: calculating emissions over unidentified source regions B. Zheng et al.
- Attributing 2019–2024 methane growth using TROPOMI satellite observations M. He et al.
- Effect of Increasing Input Power on Methane Dissociation Dynamics in Inductively Coupled Plasma Reactor: A 2-D Simulation A. Gadoum et al.
- An inter-comparison of inverse models for estimating European CH4 emissions E. Ioannidis et al.
- Assessing methane emissions from collapsing Venezuelan oil production using TROPOMI B. Nathan et al.
- State of the Art in Monitoring Methane Emissions from Arctic–boreal Wetlands and Lakes M. Mahdianpari et al.
- Recent advances in TROPOMI-based methane source detection: a systematic review R. Liu et al.
- Internal Variability Increased Arctic Amplification During 1980–2022 A. Sweeney et al.
- Improved estimation of carbon dioxide and methane using machine learning with satellite observations over the Arabian Peninsula M. Alcibahy et al.
- Trends and seasonality of 2019–2023 global methane emissions inferred from a localized ensemble transform Kalman filter (CHEEREIO v1.3.1) applied to TROPOMI satellite observations D. Pendergrass et al.
- Middle East oil and gas methane emissions signature captured at a remote site using light hydrocarbon tracers E. Germain-Piaulenne et al.
- Methane exchange across the sediment–water interface in a densely urbanized tropical Bay of Jakarta, Indonesia I. Kampono et al.
- Bottom‐Up Evaluation of the Methane Budget in Asia and Its Subregions A. Ito et al.
- 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.
- Spatio-Temporal Patterns of Methane Emissions from 2019 Onwards: A Satellite-Based Comparison of High- and Low-Emission Regions E. Wójcik-Gront et al.
- Assessing Methane Emission Patterns and Sensitivities at High-Emission Point Sources in China via Gaussian Plume Modeling H. Li et al.
- Integrated Methane Inversion (IMI) 2.0: an improved research and stakeholder tool for monitoring total methane emissions with high resolution worldwide using TROPOMI satellite observations L. Estrada et al.
- Methane-cycling microbial communities from Amazon floodplains and upland forests respond differently to simulated climate change scenarios J. Gontijo et al.
- Integrated Effects of Climate, Topography, and Greenhouse Gas on Grassland Phenology in the Southern Slope of the Qilian Mountains Y. Zhang et al.
23 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.
- Human activities now fuel two-thirds of global methane emissions R. Jackson et al.
- Global Methane Budget 2000–2020 M. Saunois et al.
- Worldwide inference of national methane emissions by inversion of satellite observations with UNFCCC prior estimates J. East et al.
- How can we trust TROPOMI based methane emissions estimation: calculating emissions over unidentified source regions B. Zheng et al.
- Attributing 2019–2024 methane growth using TROPOMI satellite observations M. He et al.
- Effect of Increasing Input Power on Methane Dissociation Dynamics in Inductively Coupled Plasma Reactor: A 2-D Simulation A. Gadoum et al.
- An inter-comparison of inverse models for estimating European CH4 emissions E. Ioannidis et al.
- Assessing methane emissions from collapsing Venezuelan oil production using TROPOMI B. Nathan et al.
- State of the Art in Monitoring Methane Emissions from Arctic–boreal Wetlands and Lakes M. Mahdianpari et al.
- Recent advances in TROPOMI-based methane source detection: a systematic review R. Liu et al.
- Internal Variability Increased Arctic Amplification During 1980–2022 A. Sweeney et al.
- Improved estimation of carbon dioxide and methane using machine learning with satellite observations over the Arabian Peninsula M. Alcibahy et al.
- Trends and seasonality of 2019–2023 global methane emissions inferred from a localized ensemble transform Kalman filter (CHEEREIO v1.3.1) applied to TROPOMI satellite observations D. Pendergrass et al.
- Middle East oil and gas methane emissions signature captured at a remote site using light hydrocarbon tracers E. Germain-Piaulenne et al.
- Methane exchange across the sediment–water interface in a densely urbanized tropical Bay of Jakarta, Indonesia I. Kampono et al.
- Bottom‐Up Evaluation of the Methane Budget in Asia and Its Subregions A. Ito et al.
- 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.
- Spatio-Temporal Patterns of Methane Emissions from 2019 Onwards: A Satellite-Based Comparison of High- and Low-Emission Regions E. Wójcik-Gront et al.
- Assessing Methane Emission Patterns and Sensitivities at High-Emission Point Sources in China via Gaussian Plume Modeling H. Li et al.
- Integrated Methane Inversion (IMI) 2.0: an improved research and stakeholder tool for monitoring total methane emissions with high resolution worldwide using TROPOMI satellite observations L. Estrada et al.
- Methane-cycling microbial communities from Amazon floodplains and upland forests respond differently to simulated climate change scenarios J. Gontijo et al.
- Integrated Effects of Climate, Topography, and Greenhouse Gas on Grassland Phenology in the Southern Slope of the Qilian Mountains Y. Zhang et al.
Saved (final revised paper)
Latest update: 06 May 2026
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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