Optical depth of smoke aerosol over the Lake Baikal aquatories in the period of forest fires in the summer of 2019

Yu. S Balin; M. G Klemasheva; G. P. Kokhanenko; S. V. Nasonov; M. M. Novoselov; I. E. Penner; S. V. Samoilova

doi:10.1117/12.2576794

12 November 2020 Optical depth of smoke aerosol over the Lake Baikal aquatories in the period of forest fires in the summer of 2019

Yu. S Balin, M. G Klemasheva, G. P. Kokhanenko, S. V. Nasonov, M. M. Novoselov, I. E. Penner, S. V. Samoilova

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Proceedings Volume 11560, 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics; 115605I (2020) https://doi.org/10.1117/12.2576794
Event: 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, 2020, Moscow, Russian Federation

Abstract

The report presents the results of a comprehensive experiment on the study of the atmosphere over Lake Baikal, which was carried out in July - August 2019. Remote investigation of aerosol content in the troposphere was carried out using mobile lidars. One of the lidars was installed on board the research vessel «Academician Koptyug». The route of the vessel covered the entire water area of the lake. The second lidar for the entire duration of the experiment was located on the southeastern shore of Lake Baikal. The period of the experiment coincided with extensive forest fires in Eastern Siberia. The lidar data made it possible to reconstruct the spatiotemporal distribution of the smoke aerosol over the Baikal water area and estimate its optical depth, the values of which, in extreme cases, reached up to τ ≈4.

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Yu. S Balin, M. G Klemasheva, G. P. Kokhanenko, S. V. Nasonov, M. M. Novoselov, I. E. Penner, and S. V. Samoilova "Optical depth of smoke aerosol over the Lake Baikal aquatories in the period of forest fires in the summer of 2019", Proc. SPIE 11560, 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, 115605I (12 November 2020); https://doi.org/10.1117/12.2576794

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KEYWORDS

Aerosols

LIDAR

Atmospheric particles

Atmospheric modeling

Data modeling

Backscatter

Raman spectroscopy

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