Paper
6 September 2019 Integrating atmospheric optical turbulence and numerical weather prediction models for laser performance predictions
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Abstract
Atmospheric boundary layer optical turbulence has a strong, and often dominant, impact on laser system performance. Optical turbulence is normally quantified by the refractive index structure parameter (C2n ). Numerical weather prediction (NWP) models do not produce direct forecasts of C2n , but gridded, multi-level forecasts of standard meteorological parameters, such as wind speed, air temperature, humidity, pressure and sea surface temperature, can be input to atmospheric optical turbulence models to indirectly forecast three-dimensional C2n conditions from the surface up through the troposphere. This paper describes methods and issues involved with integrating the Naval Postgraduate School’s Navy Atmospheric Vertical Surface Layer Model (NAVSLaM) and Tropospheric Optical Turbulence Ensemble of Models (TOTEM) with European Centre for Medium-Range Weather Forecasts (ECMWF) ERA5 reanalysis data fields to produce C2n forecasts for laser performance predictions.
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Paul A. Frederickson "Integrating atmospheric optical turbulence and numerical weather prediction models for laser performance predictions", Proc. SPIE 11133, Laser Communication and Propagation through the Atmosphere and Oceans VIII, 111330P (6 September 2019); https://doi.org/10.1117/12.2532417
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KEYWORDS
Atmospheric modeling

Optical turbulence

Atmospheric optics

Refractive index

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