Mr. Sergey A. Prokhanov Profile

Sergey A. Prokhanov

at National Research Tomsk State Univ.

SPIE Involvement:

Author

Publications (5)

Proceedings Article | 8 December 2022 Paper

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

Alexander Starchenko, Evgeniy Danilkin, Elena Shelmina, Lubov Kizhner, Sergey Prokhanov, Sergey Odintsov, Alexander Fazliev, Alexey Privezentsev, Artem Svarovsky

Proceedings Volume 12341, 123414O (2022) https://doi.org/10.1117/12.2644992

KEYWORDS: Atmospheric modeling, Computing systems, Meteorology, Systems modeling, Mathematical modeling, Data modeling, Temperature metrology, Diffusion, Solids, Atmospheric particles

Read Abstract +

Proceedings Article | 8 December 2022 Paper

A local observation data assimilation in mesoscale numerical weather prediction models

Alexander Starchenko, Mickhail Tolstykh, Vasiliy Mizyak, Artem Svarovsky, Sergey Prokhanov

Proceedings Volume 12341, 123416N (2022) https://doi.org/10.1117/12.2644943

KEYWORDS: Data modeling, Atmospheric modeling, Environmental sensing, Visibility, Temperature metrology, Fiber optic gyroscopes, Visibility through fog, Meteorology, Humidity, Solar radiation models

Read Abstract +

Proceedings Article | 16 December 2021 Paper

Application of mesoscale models for numerical investigation of urban air quality at calm wind conditions

Alexander Starchenko, Elena Shelmina, Lubov Kizhner, Sergey Odintsov, Sergey Prokhanov, Evgeniy Danilkin, Ekaterina Strebkova

Proceedings Volume 11916, 119166M (2021) https://doi.org/10.1117/12.2603434

Read Abstract +

Some results of observations and numerical calculations of the meteorological situation and the quality of surface atmospheric air in the city of Western Siberia under weak wind conditions are presented. The observations were carried out using the meteorological stations of Research Equipment Sharing Center called “Atmosphere” and the TOR-station of the Institute of Atmospheric Optics named after Zuev SB RAS. For numerical calculations, mesoscale models of numerical weather prediction TSUNM3 and a model for studying the quality of atmospheric air were used. The quality of the numerical forecast for these models was checked using the above equipment for atmospheric research and calculations using the Weather Research and Forecasting model. Observations carried out in the first ten months of 2020 made it possible to establish about 45 episodes and their duration, when for six hours or more the surface wind velocity was less than 1 m/s. Conditions of a weak wind in the city of Tomsk in 2020 most often occurred in the warm season and lasted from 20-24 o'clock to 8-10 o'clock local time of the next day. For the eight selected episodes, the TSUNM3 numerical weather model predicted the beginning and the end of the observed weak wind episodes quite satisfactorily. However, there is some tendency for the model to overestimate the duration of episodes with calm conditions. An analysis of observations of atmospheric air quality in the area of the TOR-station for the first ten months of 2020 showed that the surface concentration of carbon monoxide decreases with increasing wind velocity, while ozone, on the contrary, increases. The same conclusions can be drawn from the results of numerical calculations for two selected dates of 2020, when the duration of calm conditions was more than 9 hours. These results of numerical calculations also made it possible to establish some features of changes in concentrations in the city during the day with a long period of stagnation of the surface wind.

Proceedings Article | 16 December 2021 Paper

Sensitivity analysis of the physical parameterizations in the WRF model on the prediction accuracy of meteorological parameters

Alexander Starchenko, Lubov Kizhner, Artem Svarovsky, Sergey Prokhanov

Proceedings Volume 11916, 119166C (2021) https://doi.org/10.1117/12.2603387

Read Abstract +

Proceedings Article | 16 December 2021 Paper

Numerical simulation of extreme weather phenomena using high-resolution mesoscale meteorological models

Alexander Starchenko, Lubov Kizhnera, Sergey Odintsov, Evgeniy Danilkin, Sergey Prokhanov, Dmitriy Leshchinskiy, Artem Svarovsky

Proceedings Volume 11916, 119165V (2021) https://doi.org/10.1117/12.2603261

Read Abstract +

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years