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

Xu, Jianyuan; Hou, Zaihong; Yi, Wu; Qin, Laian; He, Feng; Tan, Fengfu

doi:10.1364/ol.38.003445

Cited by 16 publications

(5 citation statements)

References 5 publications

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“…Moreover, by 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 effective methods for detecting turbulence intensity profiles [29][30][31][32][33][34][35]. Using atmospheric backscattering amplification phenomena by measuring the intensity of laser echo signal amplification effects can also calculate C 2 n under certain conditions [36][37][38].…”

Section: Introductionmentioning

confidence: 99%

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

Jiang

Yuan

et al. 2022

Remote Sensing

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The refractive index structure constant (Cn2) is a key parameter used in describing the influence of turbulence on laser transmissions in the atmosphere. Three different methods for estimating Cn2 were analyzed in detail. A new method that uses a combination of these methods 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 a microwave radiometer (MWR). In a horizontal experiment, a comparison between the results from our new method and measurements made by a large aperture scintillometer (LAS) is conducted. The correlation coefficient, mean error, and standard deviation between them in a six-day observation are 0.8073, 8.18 × 10−16 m−2/3, and 1.27 × 10−15 m−2/3, respectively. In the vertical direction, the continuous profiling results of Cn2 and other turbulence parameters with high resolution in the atmospheric boundary layer (ABL) are retrieved. In addition, the limitation and uncertainty of this method under different circumstances were analyzed, which shows that the relative error of Cn2 estimation normally does not exceed 30% under the convective boundary layer (CBL).

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Section: Introductionmentioning

confidence: 99%

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

Jiang

Yuan

et al. 2022

Remote Sensing

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“…The detection of high-resolution vertical C 2 n profiles is essential for turbulence studies, especially to understand its generation processes and variation trends. LiDAR (Light Detection and Ranging) has been commonly used as an active remote sensing instrument to measure turbulence intensity [5,6]. The integration weights of the turbulence at different locations along the optical propagation link are usually inconsistent between different traditional turbulence evaluation methods.…”

Section: Introductionmentioning

confidence: 99%

Development of LiDAR for real-time measurement of near-ground turbulence profiles and its observation results

Qiu

Hou

et al. 2022

5th Optics Young Scientist Summit (OYSS 2022)

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Numerous studies have demonstrated the importance of obtaining the vertical distribution of turbulence in a timeefficient way for evaluating FSO systems and related laser applications, making it necessary to specify the profile of turbulence along the atmospheric propagation path. This paper presents a method for the rapid measurement of nearground turbulence profiles. This method is capable of providing a real-time evaluation of an optical propagation link, making it a useful tool for remote sensing of atmospheric turbulence. Based on this method, a turbulence profile LiDAR has been built in Hefei (31.8°N, 117.3°E) and long-term continuous measurements of the vertical distribution of turbulence were performed from October 2021 to November 2021. The retrieved results of turbulence profiles show that the LiDAR can describe spatiotemporal distributions of turbulence intensity along the measurement path corresponding to the weather and daily time changes.

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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.…”

mentioning

confidence: 99%

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

Cited by 16 publications

References 5 publications

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

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

Development of LiDAR for real-time measurement of near-ground turbulence profiles and its observation results

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

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