Novel Detection of Atmospheric Turbulence Profile Using Mie-Scattering Lidar Based on Non-Kolmogorov Turbulence Theory

Article Chemistry, Analytical

Simulation and Analysis of Mie-Scattering Lidar-Measuring Atmospheric Turbulence Profile

Yuqing Lu et al.

Summary: Based on the residual turbulent scintillation theory, the Mie-scattering lidar system is used to measure the intensity of atmospheric turbulence. Through numerical simulation and calculation methods, the system parameters are evaluated and optimized, resulting in consistent atmospheric turbulence profiles with the input model.

SENSORS (2022)

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Article Physics, Multidisciplinary

Novel Simulation and Analysis of Mie-Scattering Lidar for Detecting Atmospheric Turbulence Based on Non-Kolmogorov Turbulence Power Spectrum Model

Yingnan Zhang et al.

Summary: The Mie-scattering lidar can detect atmospheric turbulence intensity by analyzing the return signals of Gaussian beams at different heights. Simulations using the power spectrum method reveal the effectiveness of this method in detecting atmospheric turbulence.

ENTROPY (2022)

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Article Physics, Multidisciplinary

Study of the Optical Atmospheric Distortions using Wavefront Sensor Data

P. G. Kovadlo et al.

Summary: This paper studies the optical turbulence structure at the Large Solar Vacuum Telescope of the Baikal Astrophysical Observatory, presenting results on wavefront distortions and discussing the possibilities of detecting layers with enhanced optical turbulence intensity in the atmosphere. Altitudes of the atmospheric turbulent layers within the boundary layer are estimated.

RUSSIAN PHYSICS JOURNAL (2021)

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Article Meteorology & Atmospheric Sciences

Turbulence and Rainfall Microphysical Parameters Retrieval and Their Relationship Analysis Based on Wind Profiler Radar Data

Hu Su-man et al.

Summary: This study utilized boundary layer wind profiler radar measurements to explore the influence of turbulence on rainfall microphysical parameters. It was found that small raindrops grow in weak turbulence, while large raindrops break up in strong turbulence. The variation of rainfall microphysical parameters is more significant in the middle stage of rainfall events, and turbulence impacts on raindrop size and number concentration are more pronounced than on rain rate and liquid water content.

JOURNAL OF TROPICAL METEOROLOGY (2021)

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Article Physics, Multidisciplinary