Articles | Volume 26, issue 11
https://doi.org/10.5194/acp-26-8067-2026
https://doi.org/10.5194/acp-26-8067-2026
Research article
 | 
11 Jun 2026
Research article |  | 11 Jun 2026

Improved isoprene emission estimates over the Finnish boreal forest using the MEGANv3.2 model

Manuel Bettineschi, Arineh Cholakian, Victoria Sinclair, Katerina Sindelarova, Arnaud P. Praplan, Steven J. Thomas, Tuukka Petäjä, Federico Bianchi, and Giancarlo Ciarelli

Data sets

Dataset of the paper: "Improved isoprene emission estimates over the Finnish boreal forest using the MEGANv3.2 model" Manuel Bettineschi https://doi.org/10.5281/zenodo.18310397

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Short summary
We studied how forests in Finland release natural gases that affect air quality and climate. Existing models strongly overestimated these emissions because they used overly simple forest descriptions. By adding detailed information on tree species, we greatly improved agreement with real measurements. This means more realistic estimates of particle formation in the air. Our results show that accurate forest data are essential for reliable climate and air quality predictions.
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