Advertisement

Atmospheric and Oceanic Optics

, Volume 32, Issue 2, pp 202–206 | Cite as

Development of the Model of Turbulent Atmosphere at the Large Solar Vacuum Telescope Site as Applied to Image Adaptation

  • P. G. KovadloEmail author
  • V. P. LukinEmail author
  • A. Yu. Shikhovtsev
OPTICAL INSTRUMENTATION
  • 25 Downloads

Abstract

The work is aimed at the improvement of the model of a turbulent atmosphere at the Large Solar Vacuum Telescope site using the analysis of the energy turbulence spectrum in a wide range of frequencies and deformations of the vertical profile of the structure parameter of the refractive index of air in the atmospheric boundary layer (up to 1 km), depending on the energy of the surface turbulence.

Keywords:

turbulence effective turbulence velocity effective turbulence height 

Notes

ACKNOWLEDGMENTS

Some results were obtained using the Large Solar Vacuum Telescope (http://ckp-rf.ru/usu/200615/) with funding of Basic Research program II.16. The analysis of the structural features of optical turbulence was supported by the Russian Foundation for Basic Research (project no. 18-35-00033). Optical and acoustic measurements were financially supported by the Russian Science Foundation (grant no. 17-79-20 077).

REFERENCES

  1. 1.
    A. S. Gurvich, A. I. Kon, V. L. Mironov, and S. S. Khmelevtsov, Laser Radiation in the Atmosphere (Nauka, Moscow, 1976) [in Russian].Google Scholar
  2. 2.
    B. P. Mul’tanovskii, Main Principles of the Synoptic Method for Long-Term Weather Forecast (TsUEGMS, Moscow, 1933) [in Russian].Google Scholar
  3. 3.
    A. Yu. Shikhovtsev, Candidate’s Dissertation in Mathematics and Physics (Institute of Solar-Terrestrial Physics, Siberian Branch, Russian Academy of Sciences, Irkutsk, 2016).Google Scholar
  4. 4.
    A. Kellerer and A. Tokovinin, “Atmospheric coherence time in interferometry: Definition and measurement,” Astron. Astrophys. 461 (2), 775–781 (2006).ADSCrossRefGoogle Scholar
  5. 5.
    P. G. Kovadlo and A. Yu. Shikhovtsev, “Optical turbulence and different parameters of airflow,” Proc. SPIE—Int. Soc. Opt. Eng. 9292, 6 (2014).Google Scholar
  6. 6.
    M. Sarazin and A. Tokovinin, “The statistics of isoplanatic angle and adaptive optics time constant derived from DIMM data,” in Beyond Conventional Adaptive Optics: A Conference Devoted to the Development of Adaptive Optics for Extremely Large Telescopes (Venice, Italy, 2001), p. 321–328.Google Scholar
  7. 7.
    A. S. Zverev, Synoptic Meteorology (Gidrometeoizdat, Leningrad, 1977) [in Russian].Google Scholar
  8. 8.
    G. D. Nastrom and K. S. Gage, “A climatology of atmospheric wavenumber spectra of wind and temperature observed by commercial aircraft,” J. Atmos. Sci. 42 (9), 950–960 (1985).ADSCrossRefGoogle Scholar
  9. 9.
    D. L. Fried, “Statistics of geometric representation of wavefront distortion,” J. Opt. Soc. Am. 55, 1427–1435 (1965).ADSMathSciNetCrossRefGoogle Scholar
  10. 10.
    B. Garcia-Lorenzo, A. Eff-Darwich, J. J. Fuensalida, and J. Castro-Almazan, “Adaptive optics parameters connection to wind speed at the Teide observatory,” Mon. Not. R. Astron. Soc. 397, 1633–1646 (2009).ADSCrossRefGoogle Scholar
  11. 11.
    K. K. Tung and W. W. Orlando, “The k –3 and k –5/3 energy spectrum of atmospheric turbulence: Quasigeostrophic two-level model simulation,” J. Atmos. Sci. 60, 824–835 (2003).ADSCrossRefGoogle Scholar

Copyright information

© Pleiades Publishing, Ltd. 2019

Authors and Affiliations

  1. 1.Institute of Solar-Terrestrial Physics, Siberian Branch, Russian Academy of SciencesIrkutskRussia
  2. 2.V.E. Zuev Institute of Atmospheric Optics, Siberian Branch, Russian Academy of SciencesTomskRussia

Personalised recommendations