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

Zhi, Cheng; Tan, Fengfu; Xu, Jing; He, Feng; Qin, Laian; Hou, Zaihong

doi:10.3788/col201715.020101

Cited by 7 publications

(5 citation statements)

References 12 publications

(14 reference statements)

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“…Compared with the mentioned methods, lidar allows higher spatial and temporal resolutions and can operate along arbitrary atmospheric paths 12 . Previous research took advantage of these features to extract turbulence information from light column images 13,14 . However, the inversion algorithm they used led to larger errors near the ground.…”

Section: Introductionmentioning

confidence: 99%

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A vertical DIM lidar for refractive index structure parameter profiles estimation in low‐layer atmosphere

Qiu

Wang

Hou

et al. 2023

Micro & Optical Tech Letters

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This Letter presents an experimental demonstration of a vertical differential image motion (DIM) lidar for calculating the profiles of the low-layer atmospheric refractive index structure parameters. Utilizing the differences between weighting functions, we propose a convenient approach for the realtime estimation of low-layer C n 2 profiles from DIM lidar data. This approach only requires returned fluxes as input, yet it has the intrinsic ability to capture real-time turbulence profiles. Validations against the collected observational data have shown this approach to be computationally inexpensive. The longterm comparisons with micro-thermometers indicate that in such a way vertical DIM lidars can be used for providing not only a general assessment of turbulence effects along the measurement path but turbulence profiles.

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Section: Introductionmentioning

confidence: 99%

“…12 Previous research took advantage of these features to extract turbulence information from light column images. 13,14 However, the inversion algorithm they used led to larger errors near the ground. In this Letter, we report how the low-layer atmospheric refractive index structure parameter (C n 2 )…”

Section: Introductionmentioning

confidence: 99%

A vertical DIM lidar for refractive index structure parameter profiles estimation in low‐layer atmosphere

Qiu

Wang

Hou

et al. 2023

Micro & Optical Tech Letters

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

Cited by 7 publications

References 12 publications

A vertical DIM lidar for refractive index structure parameter profiles estimation in low‐layer atmosphere

A vertical DIM lidar for refractive index structure parameter profiles estimation in low‐layer atmosphere

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

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