Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 26, issue 19
Articles | Volume 26, issue 19
https://doi.org/10.5194/acp-26-14185-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-26-14185-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 19
Research article
 | 
09 Oct 2026
Research article |  | 09 Oct 2026

NeuPlume: generative inversion of atmospheric point-source emissions from sparse observations

Lei Wang and Xin Ma

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Short summary
Estimating greenhouse gas emissions from a single source is difficult when only a few air measurements are available. We developed NeuPlume, a method that combines atmospheric simulation with machine learning to estimate the emission rate and its uncertainty. Tests with simulated plumes and drone methane measurements show that it can give more realistic estimates and identify when wind information or flight coverage limits confidence.
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