Statistics of the Optical Turbulence from the Micrometeorological Measurements at the Baykal Astrophysical Observatory Site

Shikhovtsev, A. Yu.; Kovadlo, P. G.; Лукин, В. П.; Nosov, V. V.; Kiselev, Alexander V.; Kolobov, D. Yu.; Kopylov, E. A.; Shikhovtsev, Maxim Y.; Avdeev, F. A.

doi:10.3390/atmos10110661

Cited by 22 publications

(14 citation statements)

References 28 publications

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“…Data of measurements [21] show that spatial distribution of characteristics at the telescope aperture is not random. Distribution of wavefront local slopes on the telescope aperture is determined by the character of height profiles of the atmospheric optical and dynamic turbulence.…”

Section: Slodar Techniquementioning

confidence: 94%

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Modified Method to Detect the Turbulent Layers in the Atmospheric Boundary Layer for the Large Solar Vacuum Telescope

et al. 2021

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A method to detect the atmospheric turbulent layers using a single Shack–Hartmann wavefront sensor is discussed. In order to determine the height distribution of the atmospheric turbulence above a telescope, we register the wavefront distortions at different regions of the aperture from a single light solar object moving in time. Changes of the spatial position of the solar object on the sky give us the possibility to estimate the angular shift of an object. Cross-correlation analysis of the low-frequency component of wavefront slopes spaced on the telescope aperture at different times allows us to estimate characteristics for different atmospheric layers. Knowledge of the height profiles of atmospheric turbulence as well as the Fried parameter is critical for wide-field adaptive optics (AO).

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Section: Slodar Techniquementioning

confidence: 94%

“…We have experience in both determining wavefront distortions [22,23] and developing methods for determining vertical profiles [21,24]. The example of the Hartmann pattern obtained at the Large Solar Vacuum Telescope is shown in Figure 4.…”

Section: Vertical Resolution Of Slodar Technique and Proposed Methods mentioning

confidence: 99%

Modified Method to Detect the Turbulent Layers in the Atmospheric Boundary Layer for the Large Solar Vacuum Telescope

et al. 2021

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“…The heterogeneity in surface cover generates a significant impact on the micrometeorological parameters [10,11]. The characteristics of the micrometeorological parameters of surface boundary layer such as turbulent fluxes, turbulent diffusion, and wind profiles have been described in previous studies [12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 93%

The Impact of Utility-Scale Photovoltaics Plant on Near Surface Turbulence Characteristics in Gobi Areas

2020

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With the rapid deployment of utility-scale photovoltaic (PV) plants, the impact of PV plants on the environment is a new concern of the scientific and social communities. The exchange of sensible and latent heat energy and mass between land and air in PV plants is crucial to understanding its impact. It is known that the near surface turbulence characteristics rule the exchange. Therefore, it is essential for understanding the impact to study the characteristics of near surface turbulence. However, it is not well recognized. Turbulent fluxes and strength characteristics for the PV plant and the adjacent reference site in the Xinjiang Gobi area were investigated in this study. Various surface layer parameters including friction velocity, stability parameter, momentum flux, and turbulent flux were calculated using eddy correlation system. Results indicate that compared to the reference site, near the surface boundary layer was more unstable during the daytime due to the stronger convection heating, while it was more stable at night in the PV plant. In the PV plant, Iu was weakened and Iv was strengthened during the daytime, and Iu and Iv were all weakened at night, while Iw was strengthened across the whole day. The significant difference between Iu and Iv in the PV plant indicated that the horizontally turbulence strengths were affected by the plant layout. The turbulent kinetic energy of the PV plant was lower than the reference site and the momentum in the PV plant was higher than the reference site, especially during the daytime. Compared to the reference site, the PV plant had a higher sensible heat flux and less latent heat flux. The turbulent components of wind followed the 1/3 power law in the unstable conditions and stable conditions in the PV plant and the reference site.

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“…The random turbulence phase screens were generated with von Karman spectrum distributions by white noise filtering in the Fourier domain. The refractive index structure parameter of atmospheric turbulence near the surface is affected by underlying surface and weather conditions, and its variation range is usually in the range of 10 −15 m −2/3 and 10 −13 m −2/3 [31,32]. We selected three typical turbulence refractive index structure parameters to simulate different atmospheric turbulence conditions.…”

Section: Calculation Parameter Settingmentioning

confidence: 99%

A Fast Calculation Method of Far-Field Intensity Distribution with Point Spread Function Convolution for High Energy Laser Propagation

Zhang

et al. 2021

Applied Sciences

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The turbulence effect, thermal blooming effect, laser beam aberration, platform jitter, and other effects in the process of high energy laser propagation in the atmosphere will cause serious degradation of laser beam quality, which will have a negative impact on the actual application of laser propagation engineering. It is important in the engineering application of high-energy laser propagation to evaluate the far-field intensity distribution quickly. Based on the optical transfer function (OTF) theory of imaging system, the propagation process of high-energy lasers is modeled as the imaging process of point source. By using the convolution of point spread function (PSF) of jitter, turbulence, thermal blooming, and aberration of emission system, fast calculation of the far-field intensity distribution of high energy laser is realized. The calculation results are compared with those obtained by the 4D wave optics simulation program in different propagation scenarios. The results show that the calculated facula distribution and encircled energy of this method are in good agreement with the simulation results of wave optics, which can realize the fast and accurate evaluation of the far-field intensity distribution of high-energy laser propagation and provide a reference for practical engineering application.

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Statistics of the Optical Turbulence from the Micrometeorological Measurements at the Baykal Astrophysical Observatory Site

Cited by 22 publications

References 28 publications

Modified Method to Detect the Turbulent Layers in the Atmospheric Boundary Layer for the Large Solar Vacuum Telescope

Modified Method to Detect the Turbulent Layers in the Atmospheric Boundary Layer for the Large Solar Vacuum Telescope

The Impact of Utility-Scale Photovoltaics Plant on Near Surface Turbulence Characteristics in Gobi Areas

A Fast Calculation Method of Far-Field Intensity Distribution with Point Spread Function Convolution for High Energy Laser Propagation

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