Paper
31 October 2019 Characterization of the turbulent atmospheric channel of space-ground optical links with parametric models: description and cross-validation with mesoscale models and in situ measurements
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Abstract
Due to the exponential increase in global data transfer, high-speed free space optical links between the ground and satellites are increasingly being envisaged. However, the availability of the optical link is affected by atmospheric attenuation and turbulence. To reliably estimate the overall optical system performance, accurate prediction of the link availability is required, which implies reliable characterization of the local atmospheric parameters. Such characterization will help for optimal selection of the optical ground station network and the prediction of their turbulence conditions. In this contribution, we propose several composite parametric models (profiles of Cn² and wind) based on analytical and bulk models fed by weather data. This flexible method can be applied to any location on the globe for an automatic characterization of the turbulent channel. In this paper we present the characterization methodology and the comparison of parametric and numerical models with in situ experimental measurements. Results show outstanding adequacy of the ground Cn² values obtained with a Bulk-model fed by the local weather station and those of micro-thermometer measurements and the Astro-Meso-NH model.
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Clélia Robert, Marie-Thérèse Velluet, Elena Masciadri, Alessio Turchi, Jean-Marc Conan, Nicolas Védrenne, Géraldine Artaud, and Bouchra Benammar "Characterization of the turbulent atmospheric channel of space-ground optical links with parametric models: description and cross-validation with mesoscale models and in situ measurements", Proc. SPIE 11153, Environmental Effects on Light Propagation and Adaptive Systems II, 1115304 (31 October 2019); https://doi.org/10.1117/12.2534659
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KEYWORDS
Data modeling

Atmospheric modeling

Atmospheric optics

Turbulence

Scintillation

Solar radiation models

Calibration

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