Numerical simulation of extreme weather phenomena using highresolution mesoscale meteorological models

The results of the numerical prediction of dangerous weather phenomena (strong wind and fog) for the conditions of the city of Tomsk and the Tomsk district are considered. The numerical prediction is carried out with a resolution of 1 km using the WRF and TSUNM3 mesoscale meteorological models. The results of the calculations are compared with the observations obtained for selected dates in 2020 using the meteorological instruments of Research Equipment Sharing Center called “Atmosphere” of the Institute of Atmospheric Optics named after Zuev SB RAS and the airfield service of the Tomsk Airport

The research of the maximum wind speed in Tomsk and calculations of dynamic load on antenna systems

The work is concerned with calculations and analysis of the maximum wind speed in Tomsk city. The data for analysis were taken from the TOR-station located in the north-eastern part of the city. The TOR-station sensors to measure a speed and a direction of wind are installed on the 10-meter meteorological mast. Wind is measured by M-63, which uses the standard approach and the program with one-minute averaging for wind gusts recording as well. According to the measured results in the research performed, the estimation of the dynamic and wind load on different types of antenna systems was performed. The work shows the calculations of wind load on ten types of antenna systems, distinguished by their different constructions and antenna areas. For implementation of calculations, we used methods developed in the Central Research and Development Institute of Building Constructions named after V.A. Kucherenko. The research results could be used for design engineering of the static antenna systems and mobile tracking systems for the distant objects

Modelling system for short-term forecast of weather and air quality above a city

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