Articles | Volume 26, issue 11
https://doi.org/10.5194/acp-26-7789-2026
https://doi.org/10.5194/acp-26-7789-2026
Research article
 | 
02 Jun 2026
Research article |  | 02 Jun 2026

Quantifying meteorological impacts on local landfill methane emissions by using field measurements and machine learning

Donghee Kim, Sujong Jeong, Dong Yeong Chang, and Jaewon Joo

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Latest update: 02 Jun 2026
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Short summary
This study uses data and machine learning to better estimate methane emissions from a major landfill in South Korea. By considering local weather conditions like temperature and rain, the research improves how landfill methane is tracked over time. The results help us understand how climate affects emissions and provide tools that can be used worldwide to improve greenhouse gas monitoring and climate action planning.
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