30 November 2017 Application of Vorob’ev’s asymptotic solution to retrieval of the structural characteristics Cn2 from BSA-lidar data
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Proceedings Volume 10466, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 104661W (2017) https://doi.org/10.1117/12.2288457
Event: XXIII International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, 2017, Irkutsk, Russian Federation
Abstract
Micro pulse lasers have allowed solution of some technical problems and design of a specialized aerosol lidar capable of recording backscattering amplification (BSA) in a turbulent atmosphere (2014) by now. The BSA-lidar has two receiving channels, one of which is affected by a turbulence. The measurement result is the ratio of echo signals, i.e., the coefficient of backscattering amplification. The problem of lidar data inversion and retrieval of “optical” turbulence parameters was recently solved by V.V. Vorob’ev theoretically (2016). A lidar experiment was organized for testing the solution, and the asymptotic solution was applied to echo signals, which allowed estimating the daily behavior of the structural characteristics Cn 2 along a horizontal 2-km path. The experiment was accompanied by parallel independent measurements of Cn 2 by an image jitter sensor along the same path. It was shown experimentally that the Vorob’ev solution is applicable to Cn 2 retrieval from BSA-lidar data if β0 2≤3; for β0 2>3, the saturation of the amplification effect and a decrease in the experimental data with respect to calculation results are observed. The coefficient of correlation between the retrieved structural characteristics Cn 2 of the lidar and jitter sensor is 0.8–0.9. The Cn 2 values retrieved from lidar signals turned out to be 20–40% lower than the Cn 2 values of the image jitter sensor.
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I. A. Razenkov, "Application of Vorob’ev’s asymptotic solution to retrieval of the structural characteristics Cn2 from BSA-lidar data", Proc. SPIE 10466, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 104661W (30 November 2017); doi: 10.1117/12.2288457; https://doi.org/10.1117/12.2288457
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