Abstract
Carbon monoxide (CO) concentrations in the troposphere are decreasing globally, with Africa as an exception. Yet, the region is understudied, with a deficit of ground-based observations and highly uncertain CO emission inventories. This paper reports multiyear observational CO data from the Mt. Kenya Global Atmosphere Watch (GAW) station, as well as summertime CO isotope observations from both Mt. Kenya and Nairobi, Kenya. The CO variability at Mt. Kenya is characterized by slightly increased concentrations during dry periods and a strong influence of short-Term pollution events. While some data gaps and differences in instrumentation complicate decadal-scale trend analysis, a small long-Term increase is resolved. High-pollution events are consistent with isotopic signal from downwind savanna fires. The isotope fingerprint of CO in Nairobi indicates an overwhelming dominance (near 100%) of primary emissions from fossil fuel combustion with implications for air pollution policy. In contrast, the isotope signature of CO intercepted at the large-footprint Mt. Kenya region suggests that at least 70% is primary sourced, with a predominance likely from savanna fires in Africa. Taken together, this study provides quantitative constraints of primary vs. secondary CO in the eastern Africa region and in urban Nairobi, with implications for satellite-based emission inventories as well as for chemical transport and climate modeling.
Original language | English |
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Pages (from-to) | 14349-14357 |
Number of pages | 9 |
Journal | Atmospheric chemistry and physics |
Volume | 23 |
Issue number | 22 |
DOIs | |
Publication status | Published - 20 Nov 2023 |
Bibliographical note
Publisher Copyright:© Copyright:
Funding
This research has been supported by the Vetenskapsrådet (grant nos. 2013-114, 2017-05687, 2020-05384, and 2017-01601), the Svenska Forskningsrådet Formas (grant no. 2020-01951), and Horizon 2020 (grant no. 101008004).The article processing charges for this open-access publication were covered by Stockholm University. This work was supported by research grants from the Swedish Research Council (VR contracts nos. 2013-114, 2017-05687, and 2020-05384), the Swedish Research Council for Sustainable Development (FORMAS contract no. 2020-01951), and the Swedish Research Council Distinguished Professor Grant (VR contract no. 2017-01601). Sample analysis was supported by the research grants from European Commission under the Horizon 2020 – Research and Innovation Framework Programme – H2020-INFRAIA-2020-1 (grant agreement no. 101008004).
Funders | Funder number |
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Research and Innovation Framework Programme | |
Swedish Research Council for Sustainable Development | |
European Commission | |
Svenska Forskningsrådet Formas | 2020-01951 |
Vetenskapsrådet | 2013-114, 2017-05687, 2020-05384, 2017-01601 |
Horizon 2020 | 101008004 |