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Estimate of wind velocity in the atmosphere based on an analysis of turbulent distortions of laser beam images registered by video camera

Abstract

The results of an experimental method for estimating the integral along a wind velocity path, based on the determination of the variance of speed of the energy centroid displacements in the images of a laser beam passed through the path, are presented. The method is compared with optical methods of estimating the integral velocity, based on “temporal” and “spatial” variants of the correlation and spectral analysis of intensity fluctuations in the laser beam images. It is shown by the use of ten sonic anemometers placed along the sounding path that the results of the integral wind velocity estimation by all three optical methods are in agreement with each other and with the results of local measurements of wind velocity.

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References

  1. A. L. Afanasiev, V. A. Banakh, and A. P. Rostov, “Localization of Turbulent Fluxes from Intencity Fluctuations of Passed Laser Radiation,” Opt. Atmos. Okeana 21, 640–647 (2008).

    Google Scholar 

  2. V. A. Banakh and A. V. Falits, “Visualization of the Velocity Field in Atmosphere from Scattered Radiation,” Opt. Atmos. Okeana 21, 890–896 (2008).

    Google Scholar 

  3. V. A. Banakh and A. V. Falits, “Visualization of the Velocity Field in a Turbulent Atmospheric Layer from Optical Radiation Passed through the Layer,” Opt. Atmos. Okeana 22, 1135–1141 (2009) [Atm. Ocean Opt. 23, 118 (2010)].

    Google Scholar 

  4. Ting-I. Wang, G. R. Ochs, and S. Lawrence, “Wind Measurements by the Temporal Cross-Correlation of the Optical Scintillations,” Appl. Opt. 20, 4073–4081 (1981).

    ADS  Article  Google Scholar 

  5. S. F. Clifford, G. R. Ochs, and Ting-I. Wang, “Optical Wind Sensing by Observing the Scintillations of a Random Scene,” Appl. Opt. 14, 2844–2850 (1975).

    ADS  Google Scholar 

  6. J. F. Holmes, M. H. Lee, and M. E. Fossey, “Remote Crosswind Measurement Utilizing the Interaction of a Target-Induced Speckle Field with the Turbulent Atmosphere,” J. Opt. Soc. Am. A 70, 1586 (1980).

    ADS  Google Scholar 

  7. J. F. Holmes, F. Amzajerdian, V. S. Rao Gudimetla, and J. M. Hunt, “Remote Crosswind Measurement Using Speckle-Turbulence Interaction and Optical Heterodyne Detection,” J. Opt. Soc. Am. A 2(13), 104 (1985).

    ADS  Google Scholar 

  8. V. A. Bezverkhnii, A. S. Gurvich, and Vl. V. Pokasov, “Application of Coherent Analysis for Determination of Wind Velocity from Optical Measurements,” Izv. AN SSSR, Fiz. Atmos. Okeana 14, 102 (1978).

    Google Scholar 

  9. A. P. Rostov, A. P. Ivanov, and A. L. Afanasiev, “Experimental Comparison of Trace Optic Meter of Air Flux with Ultrasonic Detector Massive in Surface Atmospheric Layer,” in Proceedidngs of the 9th Intern. Symposium on Optics of Atmosphere and Ocean. Atmosphere Physics (Tomsk, 2002), 121.

  10. A. L. Afanasiev, V. A. Banakh, and A. P. Rostov, “Estimate of Wind Velocity from Optical Measurements in Atmosphere,” Proc. SPIE 5027, 136–144 (2002).

    ADS  Article  Google Scholar 

  11. www.photo-sonics.co.uk

  12. A. P. Rostov, “Array of One-Dimensional Acoustic Anemometers-Thermometers,” in Proceedings of the 8th Russian Conference, Siberian Workshop on Climate Ecologic Monitoring, Ed. by M. V. Kabanov (Agraf-Press, Tomsk, 2009), pp. 368–370.

    Google Scholar 

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Original Russian Text © A.L. Afanas’ev, V.A. Banakh, A.P. Rostov, 2011, published in Optica Atmosfery i Okeana.

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Afanas’ev, A.L., Banakh, V.A. & Rostov, A.P. Estimate of wind velocity in the atmosphere based on an analysis of turbulent distortions of laser beam images registered by video camera. Atmos Ocean Opt 24, 88–94 (2011). https://doi.org/10.1134/S1024856011010027

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  • DOI: https://doi.org/10.1134/S1024856011010027

Keywords

  • Wind Velocity
  • Intensity Fluctuation
  • Phase Spectrum
  • Fresnel Zone
  • Spectrum Slope