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
Participant Organizations
Organization: V.E. Zuev Institute of Atmospheric Optics SB RAS, Tomsk, Russia
List of reports:
- Del I.V., Melnikov N.V.
Surface air temperature forecasting based on artificial neural networks and the method of variational mode decomposition - Agafontsev M.V., Reyno V.V., Loboda E.L.
External influence by electric field on the methane combustion process - 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 - Danilkin E.A., Starchenko A.V., Leschinskiy D.V.
Coupling a microscale model of turbulent aerodynamics and polution transport with a regional weather forecast model - Petrova T.M., Solodov A.M., Solodov A.A., Deichuli V.M.
Broadening and shift coefficients of O2 absorption lines induced by self pressure in IR region - 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