EGU2020-13095, updated on 12 Jun 2020
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Estimation of possible impact of black carbon emissions from 2019 large Siberian forest wildfires on the Arctic region

Veronika Ginzburg1,2, Sergey Kostrikin1,3, Vladimir Korotkov1, Anastasia Revokatovа1,4, Polina Polumieva1, Alexey Chernenkov5, and Maria Zelenova1
Veronika Ginzburg et al.
  • 1Yu.A. Izrael Institute of Global Climate and Ecology, Russian Federation (
  • 2Institute of Geography of the Russian Academy of Sciences, Moscow, Russian Federation
  • 3Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences, Moscow, Russian Federation (
  • 4Hydrometcenter of Russia, Moscow, Russian Federation (
  • 5Moscow Institute of Physics and Technology, Moscow, Russia

The presented study is aimed to estimate the probability of black carbon transportation from large forest wildfires in Russian boreal taiga occurred in the summer 2019 to Arctic region and to estimate its deposition to ice surface and contribution to shortwave radiative forcing.

The extreme forest fires were observed in 2019 over the territories of Krasnoyarskiy region and Yakutia republic. The Russian Informational Remote monitoring System of the Federal Forestry Agency provides data on the areas of forest lands damaged by different types of fires. These data were used to choose ten most intensive and ten most continuous fires for each region. Estimation of fuel mass available for combustion including biomass, litter and deadwood were made using the growing stock data of the State Forestry Register differentiated for the regions of the Russian Federation applying country specific conversion coefficients [Schepaschenko et al. 2018]. Emission of black carbon from forest fires was carried out using the methodology and combustion coefficients from the 2006 IPCC Guidelines for National Greenhouse Gas Inventories and the coefficient of black carbon emissions from Akagi et al. [2011].

The main factor determining the transfer of particles is the synoptic situation. Blocking anticyclones and cyclonic series affects the circulation regime and conditions for the transport of particles to the Arctic. For these regions climatic frequency of occurrence of Southern and South-Western winds in summer is about 30-40%. The probability of atmospheric trajectory transfer from each chosen fire event to the Arctic region was estimated by the trajectory model HYSPLIT, also real synoptic data for each chosen fire event were used to analyze the probability of emission cloud transfer to northern latitudes.

The black carbon effect including concentrations in the atmosphere, deposition on the ice surface, modification of surface albedo in the ice region of Arctic and influence of additional radiation forcing associated with BC emissions from forest fires were estimates using the climate model INMCM5 [Volodin et a.l., 2017]. Aerosol sources, advection, gravitational sedimentation, surface absorption, and scavenging by precipitation are taken into account to compute aerosol concentration variations. Radiation forcing caused by BC emission from forest fires was calculated using the SNICAR model.


The study is supported by RFBR project No.18-05-60183.



Volodin E. M., Mortikov E. V., Kostrykin S. V., Galin V. Ya., Lykossov V. N., Gritsun A.S., Diansky N. A., Gusev A. V., Yakovlev N.G. Simulation of the present-day climate with the climate model INMCM5, Climate Dynamics, 2017, doi:10.1007/s00382-017-3539-7.

2006 IPCC Guidelines for National Greenhouse Gas Inventories, Vol. 4: Agriculture, Forestry and Other Land Use (IPCC, 2006

K. Akagi, R. J. Yokelson, C. Wiedinmyer, M. J. Alvarado, J. S. Reid, T. Karl, J. D. Crounse, and P. O. Wennberg, “Emission factors for open and domestic biomass burning for use in atmospheric models,” Atmos. Chem. Phys. 11 (9), 4039–4072 (2011).

Schepaschenko D., Moltchanova E., Shvidenko A., Blyshchyk V., Dmitriev E., Martynenko O., See L., Kraxner F. (2018) Improved Estimates of Biomass Expansion Factors for Russian Forests // Forests. – 9, 312. P. 1-23. –

How to cite: Ginzburg, V., Kostrikin, S., Korotkov, V., Revokatovа, A., Polumieva, P., Chernenkov, A., and Zelenova, M.: Estimation of possible impact of black carbon emissions from 2019 large Siberian forest wildfires on the Arctic region, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13095,, 2020

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Display material version 1 – uploaded on 08 May 2020
  • CC1: Really great work - some questions on fire intensity and HYSPLIT, Jessica McCarty, 08 May 2020

    This is very interesting and important work. Thank you for sharing. 


    I have a few questions and I am sorry I missed the display chat. First, on slide 10, you all note that these are short intensity fires leading to black carbon transport - is that correct? Did you measure the length of fire intensity from satellite fire products or via the HYSPLIT modeling results? Slide 13 results on seasonal changes in BC emissions and deposition are very interesting - seems modeling approaches may be underestimating fire emissions and deposition in July and August. Is that your interpretation as well? And finally, did your group find the GDAS data to be reasonable approximations of weather conditions for Komi, Krasnoyarsk, and Yakutia for HYSPLIT modeling? 

    I look forward to reading a published version of this work.