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Measurements of polarization scattering phase functions and spectral extinction coefficients were carried out in smoke aerosols formed as a result of thermal decomposition of wood materials, in a big aerosol chamber (BAC) of the IAO SB RAS. The results are presented of reconstructing of the parameters of the microstructure and the complex refractive index of smoke aerosols based on the developed algorithm for inverting optical measurements. Temporal variability of the microphysical characteristics of smoke is studied.

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An exact analytic description of the lidar geometric factor in the form of an integral of a product of the Bessel functions has been given within the framework of the small-angle approximation. A method for representing the lidar geometric factor in terms of elementary functions has been suggested. The behavior of the geometric factor on a sensing path has been analyzed for separated source and receiver.To solve inverse problems of lidar sensing of dense media, relative contributions of singly and multiply scattered components to a lidar return signal should be exactly estimated.1 Among the factors that govern the behavior of the ratio between the singly and multiply scattered components, the geometric factor should be first mentioned, which contains information about the effect of the parameters of lidar sensing geometry on the magnitude of a singly scattered signal.Proceeding from the small-angle approximation, an exact analytic integral expression for the lidar geometric factor has been derived in the present paper. A method for representing the geometric factor in terms of elementary functions has been described. The behavior of the factor on a sensing path has been studied for separated source and receiver.

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Features of the annual behavior of aerosol microstructure parameters retrieved by solving the inverse problem of solar photometry are considered. Hourly average measurements of the aerosol optical depth (AOD) in the spectral range 0.37-4 µm in Tomsk were taken as initial data for the inversion. The exper imental spectra were processed using an algorithm developed based on the integral distribution method. According to the retrieved integral distributions, such microstructure parameters as volume concentration, geometric cross section, and average particle radius are determined. In particular, it is found that the volume concentration of aerosol is minimum in November and maximum in April. In addition, statistical connec tions between the AOD and retrieved microstructure parameters are studied.