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Nikolai A. Golovushkin
at Institute of Applied Physics of RAS
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Publications (5)
Proceedings Article | 17 October 2023 Paper
Analysis of the radiative impact of Siberian biomass burning aerosol on cloudiness characteristics in the eastern Arctic
Igor Konovalov, Nikolai Golovushkin
Proceedings Volume 12780, 1278007 (2023) https://doi.org/10.1117/12.2688067
KEYWORDS: Aerosols, Clouds, Simulations, Atmospheric modeling, Atmospheric particles, Fire, Meteorology, Solar radiation models, Combustion, Biomass
Proceedings Article | 16 December 2021 Paper
Effects of atmospheric transformations of the organic fraction of biomass burning aerosol on the radiative forcing: a box model analysis
Igor Konovalov, Nikolai Golovushkin, Tatyana Zhuravleva, Ilmir Nastrdinov, Daria Lvova, Matthias Beekmann
Proceedings Volume 11916, 1191609 (2021) https://doi.org/10.1117/12.2603383
Proceedings Article | 12 November 2020 Paper
Nonlinear features of the atmospheric evolution of the absorption properties of biomass burning aerosol
Nikolai Golovushkin, Igor Konovalov
Proceedings Volume 11560, 115605C (2020) https://doi.org/10.1117/12.2575980
KEYWORDS: Aerosols, Atmospheric particles, Atmospheric modeling, Absorption, Oxidation, Combustion, Carbon, Atmospheric sciences, Climatology, Atmospheric physics
Proceedings Article | 12 November 2020 Paper
Modeling the absorption properties of organic carbon in biomass burning smoke in Siberia using remote sensing data
Igor Konovalov, Nikolai Golovushkin, Irina Kuznetsova, Murat Nakhaev
Proceedings Volume 11560, 115603U (2020) https://doi.org/10.1117/12.2575183
Proceedings Article | 18 December 2019 Paper
Changes of the absorption properties of aerosol from Siberian wildfires due to atmospheric aging: analysis of satellite observations
Igor Konovalov, Nikolai Golovushkin, Irina Kuznetsova, Anastasia Arkhangelskaya
Proceedings Volume 11208, 1120836 (2019) https://doi.org/10.1117/12.2539680
KEYWORDS: Aerosols, Satellites, Atmospheric particles, Atmospheric modeling, Earth observing sensors, Absorption, Data modeling, MODIS
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