XХIХ International Symposium "Atmospheric and Ocean Optics. Atmospheric Physics"

June 26-30, 2023, Moscow

Participant Organizations

Organization: National Research Tomsk State University, Tomsk, Russia

List of reports:

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Bobrovnikov S.M., Gorlov E.V., Murashko S.N., Zharkov V.I.
EVALUATION OF LASER PARAMETERS FOR EFFECTIVE EXCITATION OF PHOSPHORUS OXIDE FLUORESCENCE
Borzilov A.G., Kazakov D.V., Konyaev P.A., Lukin V.P., Soin E.L., Torgaev A.V.
OPTICAL AND ACOUSTIC MEASUREMENTS OF ATMOSPHERIC TURBULENCE ON HORIZONTAL PATHS IN THE ATMOSPHERE
Leschinskiy D.V., Danilkin E.A., Starchenko A.V.
Large eddy simulation OF TURBULENT FLOWS IN THE URBAN LANDSCAPE
Matvienko O.B, Litvinova A.E
Analysis of a swirling gas flow combustion in a channel with a porous insert
Cheredko N.N., Malyshkov S.Yu., Gordeev V.F., Krutikov V.A., Tartakovsky V.A.
INVESTIGATION OF ATMOSPHERIC AND LITHOSPHERIC ANOMALIES CONSISTENCY IN THE TOMSK REGION IN WINTER
Zbirannik A.A. , Antokhina O.Yu., Antokhin P.N.
Formation of extreme precipitation in the south of Eastern Siberia during atmospheric blocking over the European territory of Russia in July of 2010
Volkov S.N., Samokhvalov I.V., Kim D.-H.
Matrix polarization lidar for the study of asian dust on the main lines of laser radiation
Loboda E. L., Agafontsev M.V., Staroseltseva A.A., Staroseltseva A.A.
FLAME BURNING PLANT COMBUSTIBLE MATERIALS INTERRUPTION AS A RESULT OF EXTERNAL SHORT-TERM EXPOSURE
Sherstobitov A.M.
Numerical investigation of the accuracy of radial wind velocity estimates obtained using a two-pulse coherent Doppler lidar at various noise levels
Starchenko A.V., Del I.V., Odintsov S.L.
NUMERICAL PREDICTION OF WIND GUSTS IN TOMSK USING THE WRF MODEL
Kan N.V., Konoshonkin A.V., Shishko V.A., Timofeev D.N., Russkova T.V., Kustova N.V.
Solution of the problem of light scattering by ice non-spherical particles obtained within the geometric and physical optics approximations for problems of laser pulse propagation
Del I.V., Starchenko A.V.
PREDICTION OF ATMOSPHERIC AIR POLLUTION BY PM_2.5PARTICLES BASED ON ARTIFICIAL NEURAL NETWORKS

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