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

Starchenko, Alexander V.; Kizhner, Lubov I.; Svarovsky, Artem I.; Prokhanov, Sergey A.

doi:10.1117/12.2603387

Cited by 5 publications

(6 citation statements)

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“…We used the WRF model version 4.2 (WRFV 4.2, 2018) 7,8 in this work. The initial and boundary meteorological characteristics and geodetic parameters were obtained on the calculated grid covering the study area based on the reanalysis data of the National Center for Environmental Prediction NCEP GFS 0.25 Degree Global Forecast Grids Historical Archive (ds084.1) using the programs of the WRF model preprocessing system.…”

Section: Methodsmentioning

confidence: 99%

Application the complex WRF/CAMx models to study the influence of adverse weather conditions on air quality in Tomsk city

A. Strebkova,

V. Starchenko

2023

29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics

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The influence of adverse weather conditions on air quality in Tomsk for certain dates in 2022 and 2023 was studied numerically using WRF and CAMx models. Calculated from hourly concentrations, the Common Air Quality Index is used to evaluate the level of air pollution. The numerical experiment was carried out on the implementation of measures to regulate emissions of business entities to improve the quality of atmospheric air in the city of Tomsk, depending on the declared regime of adverse weather conditions. It was found that in order to uniformly reduce the concentrations of the main pollutants of urban atmospheric air for the conditions under consideration, it is advisable to limit emissions from road traffic.

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Section: Methodsmentioning

confidence: 99%

Application the complex WRF/CAMx models to study the influence of adverse weather conditions on air quality in Tomsk city

A. Strebkova,

V. Starchenko

2023

29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics

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“…41 levels were considered in the vertical direction. The calculations used the following set of parameterizations of physical processes 5,6 : moisture microphysics -WSM6 scheme for all regions; long-wave radiation -Rapid Radiative Transfer Model; short-wave radiation -Dudhia scheme; surface layera model based on the Monin-Obukhov similarity theory developed for the Eta model; the earth's surface is represented using Noah Land Surface Model; planetary boundary layer -Mellor-Yamada-Janjic model; cloud coverthe Kain-Fritsch scheme for one large area. Cloud cover was resolved explicitly using moisture microphysics equations for the second and third nested domains.…”

Section: Methodsmentioning

confidence: 99%

The study of air quality at cold weather in Tomsk City with complex of WRF/CAMx models

Strebkova

Starchenko

Kizhner

2022

28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics

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The results of calculations of meteorological parameters and atmospheric air quality during abnormally cold weather (T below -20 o C) in Tomsk are presented. These results were obtained using a complex of WRF/CAMx models. The calculation results are compared with observations of ultrasonic meteo stations and temperature profiler of the Joint Usage Centre (JUC) «Atmosphere» and observations of TOR-station of the IAO SB RAS. The adapted Common Air Quality Index (Citeair II project, supported by the EU) calculated by hourly predicted concentrations is used to evaluate the level of atmospheric pollution.

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“…In the vertical direction, 41 levels of the computational grid were considered. A set of parameterizations of subgrid physical processes tested for the conditions of Tomsk city was used [17].…”

Section: Strong Winds and Gusts Forecastmentioning

confidence: 99%

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

Starchenko

Danilkin

Shelmina

et al. 2022

28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics

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

Cited by 5 publications

References 0 publications

Application the complex WRF/CAMx models to study the influence of adverse weather conditions on air quality in Tomsk city

Application the complex WRF/CAMx models to study the influence of adverse weather conditions on air quality in Tomsk city

The study of air quality at cold weather in Tomsk City with complex of WRF/CAMx models

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

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