Analysis of the radiative impact of Siberian biomass burning aerosol on cloudiness characteristics in the eastern Arctic

Igor B. Konovalov; Nikolai A. Golovushkin

doi:10.1117/12.2688067

17 October 2023 Analysis of the radiative impact of Siberian biomass burning aerosol on cloudiness characteristics in the eastern Arctic

Igor B. Konovalov, Nikolai A. Golovushkin

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Proceedings Volume 12780, 29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 1278007 (2023) https://doi.org/10.1117/12.2688067
Event: XXIX International Symposium "Atmospheric and Ocean Optics, Atmospheric Physics", 2023, Moscow, Russian Federation

Abstract

We present some results of our numerical study of the radiative impact of Siberian biomass burning aerosol (SBBA) on clouds in the eastern Arctic. The numerical experiments were performed using the CHIMERE chemistry-transport model coupled with the WRF meteorological model. Based on an original numerical methodology, we examined the radiative impact of SBBA on characteristics of cloudiness, such as the cloud optical depth and cloud cover fraction for low, medium-level, and high clouds, as a function of the duration of the radiative forcing of SBBA. The results of the experiments show that SBBA-induced disturbances in radiative fluxes can lead to significant but variable changes in the cloudiness characteristics. The changes in the characteristics of low and medium-level clouds tend to have opposite signs and are caused predominantly by scattering components of the aerosol particles. Overall, this study contributes to a better understanding of the complex mechanisms of formation of the semi-direct radiative effect of SBBA in the Arctic.

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Igor B. Konovalov and Nikolai A. Golovushkin "Analysis of the radiative impact of Siberian biomass burning aerosol on cloudiness characteristics in the eastern Arctic", Proc. SPIE 12780, 29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 1278007 (17 October 2023); https://doi.org/10.1117/12.2688067

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KEYWORDS

Aerosols

Clouds

Simulations

Atmospheric modeling

Atmospheric particles

Fire

Meteorology

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