In this work, a numerical estimate of the average field of the mass concentration of PM2.5 aerosol particles for the European part of Russia was obtained using the numeric technology of fluid-location of the atmosphere (FLA). Atmospheric aerosol concentrations reconstructed based on satellite lidar measurements were used as input information for the first time. According to the modeling results, the areas of the increased PM2.5 mass concentrations were observed over Krasnoyarsk Krai in the summer period of 2021. The results were compared with the spatial distribution of the surface PM2.5 mass concentrations derived from the second Modern-Era Retrospective analysis for Research and Applications (MERRA-2).
The paper discusses the development of a new version of the back trajectory statistics method, where data obtained from moving measuring platforms are used as initial information on the content of atmospheric impurities. The measurements of the aerosol physicochemical characteristics obtained during two cruises of the research vessel “Professor Multanovskiy” (July 28 - September 7, 2019) and “Akademik Mstislav Keldysh” (July 31 - August 24, 2020) were used as initial information.
A machine learning approach to solve a multiple regression problem is considered. Mass concentration of aerosol particles in the surface layer of the atmosphere was used as a dependent variable. The aerosol optical depth of the atmosphere and a number of meteorological parameters from the ECMWF ERA5 reanalysis database were chosen as predictors. The problem was solved using an ensemble machine learning algorithm - a random forest.
Estimation results of the 2016 and 2017 average fields of the atmospheric aerosol sink caused by the processes of wet and dry deposition of particles are discussed. The estimation was based on the simulation of the three-dimensional average effective fields of submicron aerosol volume concentration obtained by the method of fluid-location of the atmosphere using photometric measurements of the AERONET station located in the Middle Urals.
Results of simulation of effective quasi-two-dimensional average fields of volume concentration of submicron aerosol, obtained by the method of fluid-location of atmosphere (FLA) are discussed. The input information are AERONET photometric measurement data and back trajectories of the air parcels calculated by the HYSPLIT software.
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