Articles | Volume 22, issue 24
https://doi.org/10.5194/acp-22-15777-2022
https://doi.org/10.5194/acp-22-15777-2022
Research article
 | 
16 Dec 2022
Research article |  | 16 Dec 2022

Enviro-HIRLAM model estimates of elevated black carbon pollution over Ukraine resulted from forest fires

Mykhailo Savenets, Larysa Pysarenko, Svitlana Krakovska, Alexander Mahura, and Tuukka Petäjä

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Cited articles

Amiro, B. D., Todd, J. B., Wotton, B. M., Logan, K. A., Flannigan, M. D., Stocks, B. J., Mason, J. A., Martell, D. L., and Hirsch, K. G.: Direct carbon emissions from Canadian forest fires, 1959–1999, Can. J. Forest Res., 31, 512–525, 2001. 
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Barnaba, F., Angelini, F., Curci, G., and Gobbi, G. P.: An important fingerprint of wildfires on the European aerosol load, Atmos. Chem. Phys., 11, 10487–10501, https://doi.org/10.5194/acp-11-10487-2011, 2011. 
Bessagnet, B., Menut, L., Aymoz, G., Chepfer, H., and Vautard, R.: Modelling dust emissions and transport within Europe: The Ukraine March 2007 Event, J. Geophys. Res.-Atmos., 113, D15202, https://doi.org/10.1029/2007JD009541, 2008. 
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The paper explores the spatio-temporal variability of black carbon during a wildfire in August 2010, with a focus on Ukraine. As a research tool, the seamless Enviro-HIRLAM modelling system is used for investigating the atmospheric transport of aerosol particles emitted by wildfires from remote and local sources. The results of this study improve our understanding of the physical and chemical processes and the interactions of aerosols in the atmosphere.
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