Preprints
https://doi.org/10.5194/egusphere-2026-352
https://doi.org/10.5194/egusphere-2026-352
13 Feb 2026
 | 13 Feb 2026
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

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

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

Abstract. In this study, we present an improved framework for modelling isoprene emissions based on the latest version of the Model of Emissions of Gases and Aerosols from Nature (MEGAN). We use high resolution domain-specific tree cover data, species distributions, and species-specific emission factors, to update isoprene emission factors tailored to the Finnish boreal region. These modifications are implemented in MEGAN and integrated into the WRF-CHIMERE chemistry transport model, enabling a more accurate simulation of biogenic emissions. We perform simulations over three consecutive summer periods for the years 2017, 2018, and 2019. Our results reveal a significant reduction in bias for both isoprene emissions fluxes and concentrations compared to previous versions of MEGAN. We further evaluate a canopy correction model to account for the effects of forest canopy on vertical and horizontal transport of biogenic volatile organic compounds (BVOCs) concentrations. These adjustments additionally reduce the bias in modelled isoprene concentrations. The enhanced representation of isoprene emissions, and the effects of canopy on dispersion processes, both result in overall improvements of SOA formation and transportation, emphasizing the importance of ecosystem-specific modifications in emission models and the inclusion of forest canopy correction in chemical transport models. Our findings highlight the importance of moving beyond broad vegetation categories and incorporating detailed tree species distributions in emission factor calculations, demonstrating that ecosystem-specific adjustments are essential for realistic modelling of biogenic emissions and their impacts on atmospheric chemistry.

Competing interests: At least one of the (co-)authors is a member of the editorial board of Atmospheric Chemistry and Physics.

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

Status: open (until 27 Mar 2026)

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

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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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