Based on the integrated monitoring of aerosol characteristics in the suburban region of Tomsk (2000–2017), a version of the classification of states of the surface atmospheric layer with...

Considering the wide range of variability of all aerosol characteristics (especially in the near-ground layer of the atmosphere near industrial centers), when creating a realistic empirical model of optical and microphysical characteristics, the optimal dividing of the total data array according to some multifactor signs is needed. In this paper, we analyze the main states of “dry” aerosol on the basis of the results of long-term regular measurements in the near-ground layer of the atmosphere near the city of Tomsk in 2000–2017. The following parameters were considered: aerosol number concentration and size distribution function, total and angular scattering coefficients, including the small-angle range 1.2° to 20°, mass concentration and size distribution of absorbing substances (equivalent black carbon), characteristics of the aerosol hygroscopic properties, and spectral aerosol extinction of radiation on an open long path in the wavelength range 0.45 to 3.9 µm. In our comprehensive study, we first proposed and developed an original approach (classification) to study the optical and microphysical properties of atmospheric aerosol of various physicochemical origins (background, smoke, smog, anthropogenic, etc.) based on dividing the entire data array into characteristic subarrays (types of aerosol weather), which differ from each other in a different combination of scattering and absorbing properties of particles. To divide the total data array into types of aerosol weather including “Background”, “Haze-S”, “Smog”, and “Smoke haze”, the values of the scattering coefficient of the dry aerosol matter σ_d(λ = 0.51 μm) = 100 Mm⁻¹ and the ratio of the mass concentration of the absorbing substance to the mass concentration of submicron aerosol P = 0.05. The results showed that most of the seasonal average values of the aerosol parameters analyzed in the paper are statistically significantly different when comparing various characteristic types of scattering and absorbing atmospheric aerosol. The results of the research indicate that the application of the developed classification of types of aerosol weather for the analyzed optical and microphysical parameters of aerosol particles is quite effective and reasonable.

The results of monitoring of an aerosol in a near ground layer of the atmosphere of the suburb of Tomsk in this paper are discussed. The data were obtained for the years 2010-2018 at the aerosol station (V.E. Zuev Institute of atmospheric optics, Russian academy of sciences, Siberian branch) for scattering angles φ=1.2°, φ=20° with closed volume aureole photometer. The annual variations data are presented as absolute monthly average values, calculated from the hourly values of the I(φ) parameter. The analysis of the parameters of the average monthly values of the annual course revealed a certain periodicity, which was significantly affected by the natural fires of 2012. The presence of two maximums for I (1.2°), which are observed in the summer months of June-July and December and two minimums in March and November, is established. For I (20°), the maximum values are also observed in the summer months and winter in January, and the minimum in May and October.

In this article, the results of monitoring of an aerosol in a near ground layer of the atmosphere of the suburb of Tomsk are discussed. The submitted data are obtained by means of a closed volume aureole photometer allowing to measure round the clock an aureole scattering phase function in range of angles 1.2 - 20 degrees on the wavelength of 650 nanometers. The analysis and estimation of the difference in the mean monthly diurnal values in 2010-2017 carried out.

The long-term data the aureole scattering phase function are analyzed for angles φ = 1.2° and 20° (I_1.2 and I₂₀). They were measured with a closed-type halo photometer at the aerosol station in the V.E. Zuev Institute of Atmospheric Optics, Siberian Branch, Russian Academy of Sciences, in 2010–2021. The interannual, annual, and daily variations in the parameters are analyzed. The daily averages of I_1.2, I₂₀ are calculated from the hourly data, the monthly averages, from the daily averages, and the annual averages, from the monthly averages. A weak but significant (at the p = 0.05 level) time trend is found only for the interannual values of I_1.2, 1.14% per year. In the annual behavior of I_1.2 (I₂₀), we clearly discern a monotonic increase (decrease) from winter toward summer months. Smokes from distant wildfires in 2012 and 2016, and partly in 2018 and 2019, disturb this pattern with high I₂₀ values from July to September. The annual variations in the daily behavior of the monthly average I_1.2, I₂₀, and the ratio I₂₀/I_1.2 are characteristic for continental surface aerosol. Smokes from distant wildfires lead to high I₂₀ values at nighttime, morning, and evening; and the decrease in I₂₀ in the daytime is not significant with the 0.95 probability due to large standard deviations.