Articles | Volume 26, issue 10
https://doi.org/10.5194/acp-26-6741-2026
https://doi.org/10.5194/acp-26-6741-2026
Research article
 | 
19 May 2026
Research article |  | 19 May 2026

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

Related authors

Increase of water vapour above the Swiss Plateau from 1995 to 2025 observed by ground-based microwave radiometry
Klemens Hocke, Wenyue Wang, Leonie Bernet, Alistair Bell, and Christian Mätzler
EGUsphere, https://doi.org/10.5194/egusphere-2026-989,https://doi.org/10.5194/egusphere-2026-989, 2026
Short summary
The Zurich Low-cost CO2 sensor network (ZiCOS-L): data processing, performance assessment and analysis of spatial and temporal CO2 dynamics
Luce Creman, Stuart K. Grange, Pascal Rubli, Andrea Fischer, Dominik Brunner, Christoph Hueglin, Lukas Emmenegger, and Leonie Bernet
Atmos. Meas. Tech., 19, 1441–1463, https://doi.org/10.5194/amt-19-1441-2026,https://doi.org/10.5194/amt-19-1441-2026, 2026
Short summary
Building-resolving simulations of anthropogenic and biospheric CO2 in the city of Zurich with GRAMM/GRAL
Dominik Brunner, Ivo Suter, Leonie Bernet, Lionel Constantin, Stuart K. Grange, Pascal Rubli, Junwei Li, Jia Chen, Alessandro Bigi, and Lukas Emmenegger
Atmos. Chem. Phys., 25, 14387–14410, https://doi.org/10.5194/acp-25-14387-2025,https://doi.org/10.5194/acp-25-14387-2025, 2025
Short summary
Total ozone trends at three northern high-latitude stations
Leonie Bernet, Tove Svendby, Georg Hansen, Yvan Orsolini, Arne Dahlback, Florence Goutail, Andrea Pazmiño, Boyan Petkov, and Arve Kylling
Atmos. Chem. Phys., 23, 4165–4184, https://doi.org/10.5194/acp-23-4165-2023,https://doi.org/10.5194/acp-23-4165-2023, 2023
Short summary

Cited articles

Alberti, K., Thornton, J. M., Turnbach, H. M., and Adler, C.: The Mountains Uncovered Series: Intercomparable Maps and Statistics for 100 Selected Global Mountain Ranges (v1.0) (v1.0), Zenodo, https://doi.org/10.5281/zenodo.8010166, 2023. a
Bakels, L., Tatsii, D., Tipka, A., Thompson, R., Dütsch, M., Blaschek, M., Seibert, P., Baier, K., Bucci, S., Cassiani, M., Eckhardt, S., Groot Zwaaftink, C., Henne, S., Kaufmann, P., Lechner, V., Maurer, C., Mulder, M. D., Pisso, I., Plach, A., Subramanian, R., Vojta, M., and Stohl, A.: FLEXPART version 11: improved accuracy, efficiency, and flexibility, Geosci. Model Dev., 17, 7595–7627, https://doi.org/10.5194/gmd-17-7595-2024, 2024. a
Bloom, A. A., Bowman, K. W., Lee, M., Turner, A. J., Schroeder, R., Worden, J. R., Weidner, R., McDonald, K. C., and Jacob, D. J.: A global wetland methane emissions and uncertainty dataset for atmospheric chemical transport models (WetCHARTs version 1.0), Geosci. Model Dev., 10, 2141–2156, https://doi.org/10.5194/gmd-10-2141-2017, 2017. a
Bloom, A. A., Bowman, K. W., Lee, M., Turner, A. J., Schroeder, R., Worden, J. R., Weidner, R. J., Mcdonald, K. C., and Jacob, D. J.: CMS: Global 0.5-deg Wetland Methane Emissions and Uncertainty (WetCHARTs v1.3.3), ORNL DAAC, https://doi.org/10.3334/ORNLDAAC/2346, 2024. a, b
Bond, T. C., Doherty, S. J., Fahey, D. W., Forster, P. M., Berntsen, T., DeAngelo, B. J., Flanner, M. G., Ghan, S., Kärcher, B., Koch, D., Kinne, S., Kondo, Y., Quinn, P. K., Sarofim, M. C., Schultz, M. G., Schulz, M., Venkataraman, C., Zhang, H., Zhang, S., Bellouin, N., Guttikunda, S. K., Hopke, P. K., Jacobson, M. Z., Kaiser, J. W., Klimont, Z., Lohmann, U., Schwarz, J. P., Shindell, D., Storelvmo, T., Warren, S. G., and Zender, C. S.: Bounding the role of black carbon in the climate system: A scientific assessment, J. Geophys. Res.-Atmos., 118, 5380–5552, https://doi.org/10.1002/jgrd.50171, 2013. a, b
Download
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.
Share
Altmetrics
Final-revised paper
Preprint