22 Feb 2022
22 Feb 2022
Status: this preprint is currently under review for the journal ACP.

Estimation of elevated black carbon episode over Ukraine using Enviro-HIRLAM

Mykhailo Savenets1, Larysa Pysarenko1, Svitlana Krakovska1, Alexander Mahura2, and Tuukka Petäjä2 Mykhailo Savenets et al.
  • 1Ukrainian Hydrometeorological Institute (UHMI), Kyiv, 03028, Ukraine
  • 2Institute for Atmospheric and Earth System Research (INAR), Faculty of Science, Physics/University of Helsinki (UHEL), Helsinki, 00560, Finland

Abstract. Biomass burning is one of the biggest sources of black carbon concentrations which negatively impacts human health and contribute to climate forcing. In this work we explore horizontal and vertical variability of black carbon concentrations over Ukraine during a wildfire episode in August 2010. Using Enviro-HIRLAM modelling framework the black carbon atmospheric transport was modelled for coarse and accumulation mode aerosol particles emitted by the wildfire. Elevated pollution levels were observed within the boundary layer. The influence of the black carbon emissions by the wildfire was identified up to 550 hPa level and at distances of about 2000 km from the fire areas. Strong temperature inversions at nighttime resulted in subsiding air mass movement and lead to increased concentrations of black carbon in the atmospheric boundary layer. Ground-based measurements of dust showed increase of concentration up to 73 % in comparison to average values. The fingerprint of local fires was found in the areas with local maxima of summary black carbon values for coarse mode. The findings of the case study could help to understand the behaviour of black carbon distribution during anticyclonic conditions which often observed in mid-latitudes in the summer and lead to wildfires occurrence.

Mykhailo Savenets et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2022-103', Anonymous Referee #1, 18 Mar 2022
    • AC1: 'Reply on RC1', Mykhailo Savenets, 21 Jun 2022
    • AC3: 'Reply on RC1', Mykhailo Savenets, 21 Jun 2022
  • RC2: 'Comment on acp-2022-103', Anonymous Referee #2, 25 Mar 2022
    • AC2: 'Reply on RC2', Mykhailo Savenets, 21 Jun 2022
    • AC4: 'Reply on RC2', Mykhailo Savenets, 21 Jun 2022

Mykhailo Savenets et al.

Mykhailo Savenets et al.


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Short summary
The paper explores spatio-temporal variability of black carbon during a wildfire episode of August 2010 with focus on Ukraine. As a research tool the seamless Enviro-HIRLAM modelling system used for investigating atmospheric transport of aerosol particles emitted by wildfires from remote and local sources. Results of this study improve our understanding of physical/ chemical processes and interactions of aerosols in the atmosphere.