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Home » Atmospheric and Ocean Optics » 2026 (32) » Submitted reports

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

July 06-10, 2026, Tomsk, Russia

Submitted reports

  1. Starchenko A.V., Danilkin E.A., Del I.V.
    NUMERICAL MODELING OF THE IMPACT OF VEHICLE EMISSIONS AND STATIONARY SOURCES ON URBAN AIR QUALITY AT SUBZERO TEMPERATURES
  2. Parnikov S.
    Observations of STEVE and Picket Fence at the Maimaga subauroral station on March 1, 2, and 3, 2017. Optical Observation Results  
  3. B.D.Belan, T.M.Rasskazchikova, D.V.Simonenkov , G.N.Tolmachev
    LONG-TERM OBSERVATIONS OF THE CHEMICAL COMPOSITION OF TROPOSPHERIC AEROSOL OVER WESTERN SIBERIA. TERRIGENOUS ELEMENTS
  4. Mamysheva A.A., Gladkikh V.A., Kamardin A.P., Nevzorova I.V., Odintsov S.L.
    CORRELATION OF MAXIMA OF NORMALIZED SPECTRA OF METEOROLOGICAL PARAMETERS WITH WIND VELOCITY AND TEMPERATURE STRATIFICATION NENTS  
  5. B.D. Belan, D.K. Davydov, E.A. Dyukarev, G.A. Kolotkov, A.A. Plotnikov, A.V. Fofonov
    APPLICATION OF AUTOMATED METHODS FOR MEASUREMENT OF GHG FLUXES (CO2 & CH4) FROM WETLAND ECOSYSTEMS  
  6. Kovadlo P.
    ENERGY CHARACTERISTICS OF THE ASTROCLIMATE AT THE BAIKAL ASTROPHYSICAL OBSERVATORY
  7. Razmolov A., Firsov K., Chesnokova T.
    Accounting for overlap of absorption bands in approximating the transmission functions by an exponential series  
  8. Firsov K.M., Chesnokova T.Yu., Razmolov A.A.
    Long-wave radiative forcing of CO2 and CH4 for summer conditions in the Lower Volga region and the south of Western Siberia
  9. Penenko A., Polyakov S., Penenko V.
    MEASUREMENT DATA AGGREGATION AND DECOMPOSITION SYSTEMS FOR EMISSION SOURCE IDENTIFICATION ALGORITHMS
  10. Penenko A., Rusin E., Emelyanov M.
    IDENTIFICATION OF ATMOSPHERIC POLLUTION SOURCES WITH NONLINEAR MULTI-CHANNEL MEASUREMENT OPERATORS  
  11. Penenko A., Emelyanov M.l, Penenko V.
    REFINEMENT OF ATMOSPHERIC TRANSPORT MODELS BASED ON SOURCE IDENTIFICATION AND MACHINE LEARNING METHODS
  12. Del I.V., Starchenko A.V.
    Application of neural networks in the numerical calculation of the turbulent structure of the atmospheric boundary layer