For monitoring and short-term forecasting of the meteorological situation and atmospheric air quality near settlements, transport hubs and industrial facilities, the Meteo+ automated computing system is proposed, based on a mathematical model of the atmospheric boundary layer and an effective numerical method focused on the use of supercomputers. The mathematical model includes an impurity transport model with a reduced chemical mechanism and a non-hydrostatic mesoscale meteorological model with a modern moisture microphysics parameterization scheme. Examples of the successful application of the developed automated computing system in the numerical prediction of surface air quality deterioration in light winds and temperature inversions, as well as in the prediction of such dangerous weather phenomena as wind gusts are given.
This paper presents the results of applying an optimal interpolation method to assimilate meteorological observation data obtained by using ground-based weather stations and temperature profilers of the Atmosphere JUC (Joint Use Center) at the Institute of Atmospheric Optics SB RAS to calculate a numerical prediction with high horizontal resolution (1km) of the parameters of the atmospheric boundary layer for the next 24 hours.
The results of application of a Weather Research and Forecasting model (version 4.2) to study the heat island phenomenon in the city of Tomsk are considered. The results of numerical calculations were compared with measurements obtained using the instruments of Joint Use Center (JUC) Atmosphere and Tomsk Bogashevo Airport. On some days, the temperature difference between the city and the suburbs was shown to reach 1-3 °C.
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