Modeling the absorption properties of organic carbon in biomass burning smoke in Siberia using remote sensing data

Igor B. Konovalov; Nikolai A. Golovushkin; Irina N. Kuznetsova; Murat I. Nakhaev

doi:10.1117/12.2575183

12 November 2020 Modeling the absorption properties of organic carbon in biomass burning smoke in Siberia using remote sensing data

Igor B. Konovalov, Nikolai A. Golovushkin, Irina N. Kuznetsova, Murat I. Nakhaev

Author Affiliations +

Proceedings Volume 11560, 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics; 115603U (2020) https://doi.org/10.1117/12.2575183
Event: 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, 2020, Moscow, Russian Federation

Abstract

A regional chemistry-transport model and remote sensing observations are used to study the absorption properties of organic carbon in biomass burning (BB) aerosol emitted from wildfires in Siberia. Using multi-wavelength retrievals of the absorption and extinction aerosol optical depths (AAOD and AOD) at Siberian sites of AERONET, we obtained an empirical relationship enabling the estimation of the contribution of brown carbon (BrC) to the BB aerosol absorption in a near-UV spectral region by using available satellite observations of AAOD and AOD. Application of this relationship to constrain our simulations of a large-scale episode of transport of BB plumes from Siberia towards Europe allowed us to parameterize an imaginary part of the refractive index of organic carbon in Siberian BB aerosol as a function of the BB aerosol photochemical age as well as to estimate the efficient mass fraction of BrC in the smoke plumes.

Citation Download Citation

Igor B. Konovalov, Nikolai A. Golovushkin, Irina N. Kuznetsova, and Murat I. Nakhaev "Modeling the absorption properties of organic carbon in biomass burning smoke in Siberia using remote sensing data", Proc. SPIE 11560, 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, 115603U (12 November 2020); https://doi.org/10.1117/12.2575183

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