A high-resolution satellite-based map of global methane emissions reveals missing wetland, fossil fuel, and monsoon sources

Yu, Xueying; Millet, Dylan B.; Henze, Daven K.; Turner, Alexander J.; Delgado, Alba Lorente; Bloom, A. Anthony; Sheng, Jianxiong

doi:https://doi.org/10.5194/acp-23-3325-2023

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.

https://doi.org/10.5194/acp-23-3325-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 5

Research article

|

17 Mar 2023

Research article |

| 17 Mar 2023

A high-resolution satellite-based map of global methane emissions reveals missing wetland, fossil fuel, and monsoon sources

Xueying Yu, Dylan B. Millet, Daven K. Henze, Alexander J. Turner, Alba Lorente Delgado, A. Anthony Bloom, and Jianxiong Sheng

Supplement

https://doi.org/10.5194/acp-23-3325-2023-supplement

Data sets

Total Carbon Column Observing Network TCCON https://tccondata.org/2014

Methane Sentinel-5 Precursor/TROPOMI Level 2 Product User Manual https://sentinel.esa.int/documents/

Model code and software

Code Updates of GEOS-Chem Adjoint v35 for TROPOMI Methane 4D-Var Inversion Xueying Yu, Dylan B. Millet, and Daven K. Henze https://doi.org/10.13020/g5xc-nj81

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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.