A passive optical method for measurements of the average crosswind speed on the atmospheric path has been developed. The crosswind speed estimation is based on the correlation algorithm for measuring fluctuations of the energy centroids of images of topographic objects under natural daylight. Test results of a windspeed- meter prototype, constructed based on this principle, are described. The wind velocity assessments recorded by this passive optical meter and an acoustic weather station are compared. The optimal time of accumulation of the cross-correlation function is estimated, which ensures stable real-time wind measurements.
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T.-I. Wang, US Patent No. 6611319 B2 (26 August 2003).
A. L. Afanasiev, V. A. Banakh, and A. P. Rostov, “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 (1), 88–94 (2011).
A. L. Afanasiev, V. A. Banakh, and A. P. Rostov, “Wavelet profiling of wind velocity using intensity fluctuations of laser beam propagating in the atmosphere,” Opt. Spectrosc. 105 (4), 639–645 (2008).
M. B. Roopashree, Vyas. Akondi, and Prasad B. Raghavendra, “A Review of Atmospheric Wind Speed Measurement Techniques with Shack Hartmann Wavefront Imaging Sensor in Adaptive Optics,” J. Indian Inst. Sci 93, 67–84 (2013).
R. S. Lawrence, G. R. Ochs, and S. F. Clifford, “Use of scintillations to measure average wind across a light beam,” Appl. Opt. 11 (2), 239–243 (1972).
V. A. Banakh and I. N. Smalikho, Coherent Doppler Wind Lidars in Turbulent Atmosphere (Publishing House of IAO SB RAS, Tomsk, 2013) [in Russian].
V. A. Banakh and I. N. Smalikho, Coherent Doppler Wind Lidars in a Turbulent Atmosphere (Artech House, Boston; London, 2013).
I. N. Smalikho and V. A. Banakh, “Estimation of aircraft wake vortex parameters from data measured with 1.5 µm coherent Doppler lidar,” Opt. Lett. 40 (14), 3408–3411 (2015).
S. F. Clifford, G. R. Ochs, and T.-I. Wang, “Optical wind sensing by observing the scintillations of a random scene,” Appl. Opt. 14 (12), 2844–2850 (1975).
D. L. Walters, “Passive remote crosswind sensor,” Appl. Opt. 16 (10), 2625–2626 (1977).
O. Porat and J. Shapira, “Passive cross-wind remote sensing using optical turbulence-induced fluctuations,” Proc. SPIE—Int. Soc. Opt. Eng. 7828, 78280 (2010).
V. A. Banakh, D. A. Marakasov, and M. A. Vorontsov, “Cross-wind profiling based on the scattered wave scintillations in a telescope focus,” Appl. Opt. 46 (33), 8104–8117 (2007).
V. A. Banakh and D. A. Marakasov, “Wind profile recovery from intensity fluctuations of a laser beam reflected in a turbulent atmosphere,” Quantum Electron. 38, 404–408 (2008).
M. Belenkii, Patent US No. 8,279,287 B2 (2 October 2012).
D. A. Marakasov, “The correlation of the displacements of the images of point sources in the turbulent atmosphere,” Proc. SPIE—Int. Soc. Opt. Eng. 9680, CID 9680 1U (2015).
D. A. Marakasov and A. L. Afanasiev, “Correlation of displacements of image elements of complex shaped objects in the turbulent atmosphere, Izv. vuzov, Fiz. 58 (8/3), 204–206 (2015).
D. A. Marakasov, “Estimation of mean wind velocity from correlations of centers of gravity shifings for noncoherent sources in the turbulent atmosphere,” Opt. Atmos. Okeana 29 (4), 294–299 (2016).
A. L. Afanasiev, V. A. Banakh, and A.P. Rostov, “Estimate of the integral wind velocity and turbulence in the atmosphere from distortions of optical images of naturally illuminated objects,” Atmos. Ocean. Opt. 29 (5), 422–430 (2016).
Reference Book on Special Functions with Formulae, Plots, and Mathematical Tables, Ed. by M. Abramovits and I. Stigan (Nauka, Moscow, 1979) [in Russian].
Original Russian Text © A.L. Afanasiev, V.A. Banakh, D.A. Marakasov, 2017, published in Optika Atmosfery i Okeana.
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Afanasiev, A.L., Banakh, V.A. & Marakasov, D.A. Comparative Assessments of the Crosswind Speed from Optical and Acoustic Measurements in the Surface Air Layer. Atmos Ocean Opt 31, 43–48 (2018). https://doi.org/10.1134/S1024856018010025
- incoherent source
- image correlation
- path-averaged wind velocity
- passive optical meter
- acoustic anemometer