Comparison of assessment techniques of fine and coarse component aerosol optical depth of the atmosphere from measurement in the visible spectrum

Dmitry M. Kabanov; Sergey M. Sakerin

doi:10.1117/12.2248657

29 November 2016 Comparison of assessment techniques of fine and coarse component aerosol optical depth of the atmosphere from measurement in the visible spectrum

Dmitry M. Kabanov, Sergey M. Sakerin

Author Affiliations +

Proceedings Volume 10035, 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 100353D (2016) https://doi.org/10.1117/12.2248657
Event: XXII International Symposium Atmospheric and Ocean Optics. Atmospheric Physics, 2016, Tomsk, Russian Federation

Abstract

We consider a few methods for estimating the finely and coarsely dispersed components of atmospheric aerosol optical depth (AOD), which are used for data of spectral measurements performed using different sun photometer types: СЕ 318 (AERONET) and Microtops (0.44-0.87 μm), SP and SPM (0.34-2.14 μm). In addition to the familiar AERONET method and empirical approach for separating the contributions of the two AOD components, we also present two other methods, based on regression relations with Ångström parameters. The uncertainties of using the alternative methods were estimated on the basis of multiyear datasets of joint measurements with different photometers in the region of Tomsk and during marine expeditions (the Atlantic and Antarctic Oceans). It is shown that the uncertainty of different methods for estimating the coarsely dispersed component, as compared to the base empirical method, is approximately the same (0.01-0.024) and comparable with the uncertainty of determining the atmospheric AOD itself.

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Dmitry M. Kabanov and Sergey M. Sakerin "Comparison of assessment techniques of fine and coarse component aerosol optical depth of the atmosphere from measurement in the visible spectrum", Proc. SPIE 10035, 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 100353D (29 November 2016); https://doi.org/10.1117/12.2248657

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