Improving Hufnagel-Andrews-Phillips model for prediction <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"><mml:mrow><mml:msubsup><mml:mi mathvariant="normal">C</mml:mi><mml:mi mathvariant="normal">n</mml:mi><mml:mn>2</mml:mn></mml:msubsup></mml:mrow></mml:math> using empirical wind speed profiles

Mahmood, Dalia A.; Naif, Salwa S.; Al-Jiboori, Monim H.; Al-Rbayee, Thoalfaqar

doi:10.1016/j.jastp.2022.105952

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…In terms of r 0 , these values correspond to 8.3-10.0 cm. In addition to the average monthly values of the Fried parameter obtained using the gradient method, the figure shows the results of applying the Hufnagel-Vally (HV) climate model to describe vertical changes in C 2 n [41]. The HV model is based on the processing of experimental data and, on average, describes the structure of optical turbulence well.…”

Section: Estimation Of the Fried Parameter At The Sites With Good Ast...mentioning

confidence: 99%

Vertical Distribution of Optical Turbulence at the Peak Terskol Observatory and Mount Kurapdag

Shikhovtsev,

Qing,

Kopylov

et al. 2024

Remote Sensing

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Atmospheric turbulence characteristics are essential in determining the quality of astronomical images and implementing adaptive optics systems. In this study, the vertical distributions of optical turbulence at the Peak Terskol observatory (43.27472°N 42.50083°E, 3127 m a.s.l.) using the Era-5 reanalysis and scintillation measurements are investigated. For the closest reanalysis grid node to the observatory, vertical profiles of the structural constant of the air refractive index turbulent fluctuations Cn2 were obtained. The calculated Cn2(z) vertical profiles are compared with the vertical distribution of turbulence intensity obtained from tomographic measurements with a Shack–Hartmann sensor. The atmospheric coherence length at the location of Terskol Peak was estimated. Using a combination of atmospheric models and paramaterization schemes of turbulence, Cn2(z) profiles at Mt. Kurapdag were obtained. The values of atmospheric coherence length at Peak Terskol are compared with estimated values of this length at the ten astronomical sites, including Ali, Lenghu and Daocheng.

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Section: Estimation Of the Fried Parameter At The Sites With Good Ast...mentioning

confidence: 99%

Vertical Distribution of Optical Turbulence at the Peak Terskol Observatory and Mount Kurapdag

Shikhovtsev,

Qing,

Kopylov

et al. 2024

Remote Sensing

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show abstract

“…Mahmood et al. suggested that Cn2(h) comparisons with experimental data can be improved by using their associated wind speed profiles with altitude via the turbulent intensity 41 . To evaluate this premise, we modify Eq.…”

Section: Channel Modelsmentioning

confidence: 99%

Optical communications in turbulence: a tutorial

Stotts,

Andrews

2023

Opt. Eng.

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We provide a tutorial on how to create link budgets and bit error rate (BER) and probability of fade calculations for optical communications systems designed to operate in the turbulent channel. It reviews the characterization models necessary for either incoherent or coherent free space optical communications uplink, downlink, and horizontal system analyses in the turbulent channel. Beam wander, scintillation, and receiver noise variance as well as pointing and tracking effects were included in this paper. Comparisons among these models, computer simulations and field measurements are provided throughout the paper. Good agreement is shown among all. An example analysis was provided using this information. The conclusion is that no matter whether the system is incoherent or coherent and/or which signaling format is used, the scintillation index will peg the BER to constant value at high signal-to-noise ratio well above the desired value. Other turbulence mitigation techniques must be employed to get the desired system performance.

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Improving the Hufnagel-Andrews-Phillips refractive index structure parameter model using turbulent intensity

Stotts

Andrews

2023

Opt. Express

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This paper proposes a modification of the Hufnagel-Andrews-Phillips (HAP) Refractive Index Structure Parameter model that will better characterize the HAP profile against experimental data using the turbulent intensity, which is the ratio of wind speed variance to the average wind speed-squared, and Korean Refractive Index Parameter yearly statistics, Comparisons between this modified HAP model, the Critical Laser Enhancing Atmospheric Research 1 (CLEAR 1) profile model and several of the data sets are made. These comparisons highlight that this new model offers a more consistent representation of the averaged experimental data profiles than the CLEAR 1 model did. In addition, comparisons between this model and various experimental data set reported in the literature will show good agreement between the model and averaged data, and reasonable agreement with non-averaged data sets. This improved model should prove useful in system link budget estimates and atmospheric research.

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Improving Hufnagel-Andrews-Phillips model for prediction Cn2 using empirical wind speed profiles

Cited by 5 publications

References 8 publications

Vertical Distribution of Optical Turbulence at the Peak Terskol Observatory and Mount Kurapdag

Vertical Distribution of Optical Turbulence at the Peak Terskol Observatory and Mount Kurapdag

Optical communications in turbulence: a tutorial

Improving the Hufnagel-Andrews-Phillips refractive index structure parameter model using turbulent intensity

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