Preprints
https://doi.org/10.5194/egusphere-2025-5272
https://doi.org/10.5194/egusphere-2025-5272
06 Nov 2025
 | 06 Nov 2025
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

Long-term trace gas and black carbon measurements at the high-altitude station Mount Kenya: tropical atmospheric variability and the influence of African emissions

Leonie Bernet, Benjamin T. Brem, Nicolas Bukowiecki, Stephan Henne, Jörg Klausen, Mathew Mutuku, David Njiru, Patricia Nying'uro, Christoph Zellweger, and Martin Steinbacher

Abstract. Long-term observations of atmospheric composition are essential for understanding regional and global climate impacts. Although the Global Atmosphere Watch (GAW) programme provides a network of worldwide measurements, continuous atmospheric measurements across Africa remain scarce. This study presents multi-year in-situ measurements of trace gases and black carbon from the Mount Kenya GAW station (MKN) from 2020 to 2024, offering a unique dataset from equatorial Africa. Its location exposes MKN to contrasting air masses from both hemispheres, enabling detection of emissions and providing insights into tropical variability such as seasonal and diurnal cycles. We present carbon dioxide (CO2), methane (CH4), carbon monoxide (CO), ozone (O3), and black carbon (BC) measurements and compare these data with Copernicus Atmospheric Monitoring Service (CAMS) model products. While CAMS data broadly agree with the measurements, they underestimate diurnal variability and fail to capture O3 and BC dynamics during rainy seasons, underscoring the importance of ground-based data for validating model performance. To identify source regions and sectoral emission contributions, we combined the FLEXPART particle dispersion model with satellite fire data, wetland emissions, and anthropogenic inventories. CO and BC were mainly linked to household fuel use and industrial energy, with biomass burning contributing during dry seasons. Methane variability was driven by agriculture and seasonal wetlands, but large uncertainties remain in all emission estimates. Our findings confirm the value of MKN observations for evaluating atmospheric models and emission inventories, and highlight the urgent need to expand measurement infrastructure across Africa to improve understanding of atmospheric processes and climate impacts.

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Leonie Bernet, Benjamin T. Brem, Nicolas Bukowiecki, Stephan Henne, Jörg Klausen, Mathew Mutuku, David Njiru, Patricia Nying'uro, Christoph Zellweger, and Martin Steinbacher

Status: open (until 18 Dec 2025)

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Leonie Bernet, Benjamin T. Brem, Nicolas Bukowiecki, Stephan Henne, Jörg Klausen, Mathew Mutuku, David Njiru, Patricia Nying'uro, Christoph Zellweger, and Martin Steinbacher
Leonie Bernet, Benjamin T. Brem, Nicolas Bukowiecki, Stephan Henne, Jörg Klausen, Mathew Mutuku, David Njiru, Patricia Nying'uro, Christoph Zellweger, and Martin Steinbacher
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Latest update: 06 Nov 2025
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Short summary
Long-term atmospheric measurements are crucial to understanding climate change but remain scarce across Africa. We monitored atmospheric species at Mt. Kenya from 2020 to 2024. Our data reveal equatorial seasonal and daily variability and show that models miss local patterns. Emissions at Mt. Kenya mainly come from households, industry, and agriculture, though with large uncertainties. These findings stress the need for more ground stations to improve climate models and emission estimates.
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