Development of a lidar technique for profiling optical turbulence

Gimmestad, Gary G.; Roberts, David W.; Stewart, John; Wood, Jack

doi:10.1117/1.oe.51.10.101713

Cited by 21 publications

(15 citation statements)

References 17 publications

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“…The subarea from each strip corresponding to the same altitude can be regarded as a pair of subimages. Due to elongation effects in the OZ axis, r 0 is obtained from the differential longitudinal motion of a pair of subimages in the same way as in the DIM lidar [3,6,7]. The variance of the differential longitudinal motion, σ 2 α , is described as follows:…”

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confidence: 99%

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Development of a differential column image motion light detection and ranging for measuring turbulence profiles

Hou

et al. 2013

Opt. Lett.

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We have developed a differential column image motion (DCIM) lidar for measuring real-time vertical profiles of Fried's transverse coherence length (r0) and testing it against a differential image motion (DIM) lidar and a DIM monitor by observing stars throughout a range of turbulent conditions. With the DCIM lidar system parameters elaborately designed and the detector installed with an angle corresponding to the receiving telescope axis, the focal position of the laser guide star from a range of altitudes that coincide with the CCD's receiving area, r0 of different altitudes can be obtained simultaneously. The experiment results support the DCIM lidar and confirm that a high temporal and spatial resolution r0 profile can be measured with this method.

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confidence: 99%

“…A number of lidar techniques for measuring turbulence profiles, such as cross-path lidar and differential image motion (DIM) lidar, have been proposed [1][2][3][4][5][6]. Cross-path lidar needs two beacons and a Hartmann wavefront sensor; the spatial resolution is determined by the number of subapertures of the Hartmann.…”

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confidence: 99%

Development of a differential column image motion light detection and ranging for measuring turbulence profiles

Hou

et al. 2013

Opt. Lett.

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“…Large aperture scintillometer (LAS) can measure the path-averaged 𝐶 𝑛 2 within a certain distance with high time resolution, which is a common instrument using the intensity scintillation principle (Andrews et al, 2012;Han et al, 2018;Ting-i et al, 1978). Through adjusting the focal length and remaining at each height to reduce the variance of the distribution of lidar profiles, imaging methods that use the differential image motion monitor (DIMM) are also quite mature way to detect the turbulence intensity (Aristidi et al, 2019;Belen'kii et al, 2001;Brown et al, 2013;Chabe et al, 2020;Cheng et al, 2017;Gimmestad et al, 2012;Jing et al, 2013). Atmospheric backscattering amplification method by measuring the intensity of laser echo signal amplification effect (Banakh and Razenkov, 2016a, b;Razenkov, 2018), etc.…”

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Turbulence Detection in the Atmospheric Boundary Layer using Coherent Doppler Wind Lidar and Microwave Radiometer

Jiang

Yuan

et al. 2021

Preprint

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Abstract. The refractive index structure constant (Cn2) is a key parameter in describing the influence of turbulence on laser transmission in the atmosphere. A new method for continuous Cn2 profiling with both high temporal and spatial resolution is proposed and demonstrated. Under the assumption of the Kolmogorov “2/3 law”, the Cn2 profile can be calculated by using the wind field and turbulent kinetic energy dissipation rate (TKEDR) measured by coherent Doppler wind lidar (CDWL) and other meteorological parameters derived from microwave radiometer (MWR). In the horizontal experiment, a comparison between the results from our new method and measurements made by a large aperture scintillometer (LAS) is conducted. Except for the period of stratification stabilizing, the correlation coefficient between them in the six-day observation is 0.8389, the mean error and standard deviation is 1.09 × 10−15 m−2/3 and 2.14 × 10−15 m−2/3, respectively. In the vertical direction, the continuous observation results of Cn2 and other turbulence parameter profiles in the atmospheric boundary layer (ABL) are retrieved. More details of the atmospheric turbulence can be found in the ABL owe to the high temporal and spatial resolution of MWR and CDWL (spatial resolution of 26 m, temporal resolution of 147 s).

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“…However, DCIM lidar aims to extract the real-time vertical distribution of the atmosphere refractive structure constant C 2 n from r 0 profiles, which involves an inverse problem analogous to DIM lidar. In DIM lidar, slope inversion based on the first derivative has been proposed to avoid a nonphysical solution [14] , but the first derivative may be more sensitive to measurement noise and this algorithm does not perform well currently in free atmosphere. Although C 2 n profiles based on the generalized Hufnagel-Valley model have been restored from DCIM Lidar, the retrieval method is limited by the a prior turbulence model without universality [15] .…”

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confidence: 99%

“…(ii) The variation of r 0 is very little at the altitudes above 15 km; a small quantity perturbation of r 0 may result in a huge error of C 2 n . A slightly modified spline function of DIM [14] after some trials is exploited to fit r 0 values of DCIM…”

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Retrieval of Cn2 profile from differential column image motion lidar using the regularization method

Zhi¹,

Tan²,

Xu³

et al. 2017

中国光学快报

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We develop a regularization-based algorithm for reconstructing the C 2 n profile using the profile of Fried's transverse coherent length (r 0 ) of differential column image motion (DCIM) lidar. This algorithm consists of fitting the set of measured data to a spline function and a two-stage inversion method based on regularized least squares QR-factorization (LSQR) in combination with an adaptive selection method. The performance of this algorithm is analyzed by a simulated profile generated from the HV 5∕7 model and experimental DCIM lidar data. Both the simulation and experiment support the presented approach. It is shown that the algorithm can be applied to estimate a reliable C 2 n profile from DCIM lidar.

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Development of a lidar technique for profiling optical turbulence

Cited by 21 publications

References 17 publications

Development of a differential column image motion light detection and ranging for measuring turbulence profiles

Development of a differential column image motion light detection and ranging for measuring turbulence profiles

Turbulence Detection in the Atmospheric Boundary Layer using Coherent Doppler Wind Lidar and Microwave Radiometer

Retrieval of Cn2 profile from differential column image motion lidar using the regularization method

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