Articles | Volume 15, issue 3
https://doi.org/10.5194/amt-15-721-2022
https://doi.org/10.5194/amt-15-721-2022
Research article
 | 
09 Feb 2022
Research article |  | 09 Feb 2022

Automated detection of atmospheric NO2 plumes from satellite data: a tool to help infer anthropogenic combustion emissions

Douglas P. Finch, Paul I. Palmer, and Tianran Zhang

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Latest update: 18 Sep 2024
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Short summary
We developed a machine learning model to detect plumes of nitrogen dioxide satellite observations over 2 years. We find over 310 000 plumes, mainly over cities, industrial regions, and areas of oil and gas production. Our model performs well in comparison to other datasets and in some cases finds emissions that are not included in other datasets. This method could be used to help locate and measure emission hotspots across the globe and help inform climate policies.