Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 19, issue 12
Articles | Volume 19, issue 12
https://doi.org/10.5194/amt-19-4313-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-19-4313-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 12
Research article
 | 
30 Jun 2026
Research article |  | 30 Jun 2026

Enhanced methane monitoring: a globally harmonized daily 0.1° XCH4 through machine learning-based fusion of GOSAT, GOSAT-2, and TROPOMI

Jebun Naher Keya, Yejin Kim, Hyunyoung Choi, and Jungho Im

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Short summary
Monitoring atmospheric methane is essential, yet current satellite observations are limited by measurement errors and incomplete coverage. This study combines three satellite missions using machine learning to generate a daily global 0.1° XCH4 dataset for 2020–2023. The resulting dataset improves coverage in data-sparse regions and reveals intensifying methane concentrations over South Asia, East Asia, and Central Africa, providing a valuable resource for enhanced regional methane monitoring.
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