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.
Computational experiments were carried out using the WRF model version 4.2. The influence of different sets of parameterizations on the results of calculating the surface values of air temperature, wind speed and direction is considered. A set of parameterizations providing the best accuracy of numerical prediction (with a resolution of 1 km) of local meteorological characteristics for the conditions of Western Siberia, is selected. It was found that the set of parameterizations affects the simulation quality, but it is not the main aspect in ensuring prediction accuracy. To test the WRF model, the observations obtained using meteorological instruments of the JUC Atmosphere of the V.E. Zuev Institution of Atmospheric Optics SB RAS, the airfield information and measurement system of the Tomsk Airport, and the Tomsk weather station were employed.
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.
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