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

Alexander V. Starchenko; Evgeniy A. Danilkin; Elena A. Shelmina; Lubov I. Kizhner; Sergey A. Prokhanov; Sergey L. Odintsov; Alexander Z. Fazliev; Alexey I. Privezentsev; Artem I. Svarovsky

doi:10.1117/12.2644992

7 December 2022 Modelling system for short-term forecast of weather and air quality above a city

Alexander V. Starchenko, Evgeniy A. Danilkin, Elena A. Shelmina, Lubov I. Kizhner, Sergey A. Prokhanov, Sergey L. Odintsov, Alexander Z. Fazliev, Alexey I. Privezentsev, Artem I. Svarovsky

Author Affiliations +

Proceedings Volume 12341, 28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 123414O (2022) https://doi.org/10.1117/12.2644992
Event: 28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 2022, Tomsk, Russia

Abstract

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.

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Alexander V. Starchenko, Evgeniy A. Danilkin, Elena A. Shelmina, Lubov I. Kizhner, Sergey A. Prokhanov, Sergey L. Odintsov, Alexander Z. Fazliev, Alexey I. Privezentsev, and Artem I. Svarovsky "Modelling system for short-term forecast of weather and air quality above a city", Proc. SPIE 12341, 28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 123414O (7 December 2022); https://doi.org/10.1117/12.2644992

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