Black Carbon Emissions from the Siberian Fires 2019: Modelling of the Atmospheric Transport and Possible Impact on the Radiation Balance in the Arctic Region

The work is devoted to the study of the climatic effects of black carbon (BC) transferred from forest fires to the Arctic zone. The HYSPLIT (The Hybrid Single-Particle Lagrangian Integrated Trajectory model) trajectory model was used to initially assess the potential for particle transport from fire...

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Main Authors: Sergey Kostrykin, Anastasia Revokatova, Alexey Chernenkov, Veronika Ginzburg, Polina Polumieva, Maria Zelenova
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/12/7/814
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spelling doaj-c7c557675c134abda9973df2084b8aff2021-07-23T13:30:29ZengMDPI AGAtmosphere2073-44332021-06-011281481410.3390/atmos12070814Black Carbon Emissions from the Siberian Fires 2019: Modelling of the Atmospheric Transport and Possible Impact on the Radiation Balance in the Arctic RegionSergey Kostrykin0Anastasia Revokatova1Alexey Chernenkov2Veronika Ginzburg3Polina Polumieva4Maria Zelenova5Israel Institute of Global Climate and Ecology, Glebovskaya 20B, 107258 Moscow, RussiaIsrael Institute of Global Climate and Ecology, Glebovskaya 20B, 107258 Moscow, RussiaMoscow Institute of Physics and Technology, Institutskiy per. 9, Dolgoprudny, 141701 Moscow, RussiaIsrael Institute of Global Climate and Ecology, Glebovskaya 20B, 107258 Moscow, RussiaIsrael Institute of Global Climate and Ecology, Glebovskaya 20B, 107258 Moscow, RussiaIsrael Institute of Global Climate and Ecology, Glebovskaya 20B, 107258 Moscow, RussiaThe work is devoted to the study of the climatic effects of black carbon (BC) transferred from forest fires to the Arctic zone. The HYSPLIT (The Hybrid Single-Particle Lagrangian Integrated Trajectory model) trajectory model was used to initially assess the potential for particle transport from fires. The results of the trajectory analysis of the 2019 fires showed that the probability of the transfer of particles to the Arctic ranges from 1% to 10%, and in some cases increases to 20%. Detailed studies of the possible influence of BC ejected as a result of fires became possible by using the climate model of the INMCM5 (Institute of Numerical Mathematics Climate Model). The results of the numerical experiments have shown that the maximum concentration of BC in the Arctic atmosphere is observed in July and August and is associated with emissions from fires. The deposition of BC in the Arctic increases by about 1.5–2 times in the same months, in comparison with simulation without forest fire emissions. This caused an average decrease in solar radiation forcing of 0.3–0.4 Wt/m<sup>2</sup> and an increase in atmospheric radiation heating of up to 5–6 Wt/m<sup>2</sup>. To assess the radiation forcing from BC contaminated snow, we used the dependences of the change in the snow albedo on the snow depth, and the albedo of the underlying surface for a given amount of BC fallen on the snow. These dependences were constructed on the basis of the SNICAR (Snow, Ice, and Aerosol Radiative) model. According to our calculations, the direct radiative forcing from BC in the atmosphere with a clear sky is a maximum of 4–5 W/m<sup>2</sup> in July and August.https://www.mdpi.com/2073-4433/12/7/814black carbonforest firesArctic climate changeclimate modellingHYSPLIT trajectory model
collection DOAJ
language English
format Article
sources DOAJ
author Sergey Kostrykin
Anastasia Revokatova
Alexey Chernenkov
Veronika Ginzburg
Polina Polumieva
Maria Zelenova
spellingShingle Sergey Kostrykin
Anastasia Revokatova
Alexey Chernenkov
Veronika Ginzburg
Polina Polumieva
Maria Zelenova
Black Carbon Emissions from the Siberian Fires 2019: Modelling of the Atmospheric Transport and Possible Impact on the Radiation Balance in the Arctic Region
Atmosphere
black carbon
forest fires
Arctic climate change
climate modelling
HYSPLIT trajectory model
author_facet Sergey Kostrykin
Anastasia Revokatova
Alexey Chernenkov
Veronika Ginzburg
Polina Polumieva
Maria Zelenova
author_sort Sergey Kostrykin
title Black Carbon Emissions from the Siberian Fires 2019: Modelling of the Atmospheric Transport and Possible Impact on the Radiation Balance in the Arctic Region
title_short Black Carbon Emissions from the Siberian Fires 2019: Modelling of the Atmospheric Transport and Possible Impact on the Radiation Balance in the Arctic Region
title_full Black Carbon Emissions from the Siberian Fires 2019: Modelling of the Atmospheric Transport and Possible Impact on the Radiation Balance in the Arctic Region
title_fullStr Black Carbon Emissions from the Siberian Fires 2019: Modelling of the Atmospheric Transport and Possible Impact on the Radiation Balance in the Arctic Region
title_full_unstemmed Black Carbon Emissions from the Siberian Fires 2019: Modelling of the Atmospheric Transport and Possible Impact on the Radiation Balance in the Arctic Region
title_sort black carbon emissions from the siberian fires 2019: modelling of the atmospheric transport and possible impact on the radiation balance in the arctic region
publisher MDPI AG
series Atmosphere
issn 2073-4433
publishDate 2021-06-01
description The work is devoted to the study of the climatic effects of black carbon (BC) transferred from forest fires to the Arctic zone. The HYSPLIT (The Hybrid Single-Particle Lagrangian Integrated Trajectory model) trajectory model was used to initially assess the potential for particle transport from fires. The results of the trajectory analysis of the 2019 fires showed that the probability of the transfer of particles to the Arctic ranges from 1% to 10%, and in some cases increases to 20%. Detailed studies of the possible influence of BC ejected as a result of fires became possible by using the climate model of the INMCM5 (Institute of Numerical Mathematics Climate Model). The results of the numerical experiments have shown that the maximum concentration of BC in the Arctic atmosphere is observed in July and August and is associated with emissions from fires. The deposition of BC in the Arctic increases by about 1.5–2 times in the same months, in comparison with simulation without forest fire emissions. This caused an average decrease in solar radiation forcing of 0.3–0.4 Wt/m<sup>2</sup> and an increase in atmospheric radiation heating of up to 5–6 Wt/m<sup>2</sup>. To assess the radiation forcing from BC contaminated snow, we used the dependences of the change in the snow albedo on the snow depth, and the albedo of the underlying surface for a given amount of BC fallen on the snow. These dependences were constructed on the basis of the SNICAR (Snow, Ice, and Aerosol Radiative) model. According to our calculations, the direct radiative forcing from BC in the atmosphere with a clear sky is a maximum of 4–5 W/m<sup>2</sup> in July and August.
topic black carbon
forest fires
Arctic climate change
climate modelling
HYSPLIT trajectory model
url https://www.mdpi.com/2073-4433/12/7/814
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