CONFERENCES AND SYMPOSIA
V.E. ZUEV INSTITUTE OF ATMOSPHERIC OPTICS
XХХI International Symposium "Atmospheric and Ocean Optics. Atmospheric Physics"
July 08-11, 2025, Tomsk, Russia
Submitted reports
- Zuev V.V., Savelieva E.S., Sidorovski E.A.
Vertical structure of the Antarctic polar vortex during sudden stratospheric warmings - Gerasimov V.V., Nevzorov A.V.
The impact of Arctic polar vortex intrusions into mid-latitudes on aerosol vertical distribution in the stratosphere over Tomsk - Gerasimov V.V., Maslennikova E.A., Pavlinsky A.V.
The impact of Erebus volcano gas emissions on ozone depletion and the ozone hole area in the Antarctic stratosphere - Mirsanov. M.A.
RESULTS OF MEASUREMENTS OF HIGH-INTENSITY PRECIPITATION CHARACTERISTICS PERFORMED WITH THE OPTIOS OPTICAL PRECIPITATION GAUGE FOR THE WARM PERIOD OF 2024 - Lutskin E.S., Obolkin V.A., Khodzher T.V.
Spatiotemporal Dynamics of Gaseous Elemental Mercury Concentrations in the Atmospheric Air of Southern Baikal Region During Summer 2024 - Shikhovtsev A.Yu., Kovadlo P.G., Driga M.B., Kiselev A.V., Eselevich M.V.
MACHINE LEARNING METHODS FOR FWHM ESTIMATING AT THE SAYAN SOLAR OBSERVATORY SITE - Antokhina O.Yu.1,2, Antokhin P.N.1, Zorkaltseva O.S.2, Gochakov A.V.3 , Bobrovnikov S.M.1, Zharkov V.I.1
Troposphere-Stratosphere Dynamics and Coupling during the winter of 2024-2025 - G.A. Filimonov
Deep Learning-Based Estimation of the Refractive Index Structure Parameter from Turbulent Broadening of a Gaussian Beam - Terpugova S.A., Antonov A.V., Yausheva E.P., Shmargunov V.P., Panchenko M.V.
Estimation of urban effect on the aerosol condensation activity - G.A. Filimonov
Recent advances in atmospheric turbulence strength characterization based on deep machine learning - V.V. Kolosov, G.A. Filimonov
ANALYSIS OF PROBABILITY DENSITY FUNCTIONS OF LASER RADIATION POWER FLUCTUATIONS AVERAGED OVER RECEIVER APERTURE FOR A WIDE RANGE OF ATMOSPHERIC PROPAGATION CONDITIONS - G.A. Filimonov, V.V. Gerasimov, A.V. Nevzorov
AUTOMATIC CLASSIFICATION OF AEROSOL SCATTERING RATIO PROFILES IN THE STRATOSPHERE USING DEEP LEARNING