Paper
24 October 2012 Improved vertical refractive-index structure parameter model for the maritime atmosphere based on local bulk meteorological measurements
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Abstract
The refractive index structure parameter C 2/n(z) as a function of vertical height z, is a key parameter describing the turbulent intensity of the atmosphere, and is important for modeling and predicting beam propagation behavior. Over the past several decades many vertical C 2/n models have been developed, many based on empirical data from field test campaigns involving difficult in situ measurements by radiosondes, or remote-sensing using scidar/lidar/radar techniques. Each model has its own set of limitations and caveats. We have developed an improved C 2/n parametric model for the maritime environment, which uses the Navy Surface-Layer Optical Turbulence model for the low-altitude surface boundary layer, and merges with a generalized Hufnagel-Valley model for the middle- and upper-altitudes (up to 24 km elevation). It takes inputs of local bulk meteorological measurements and forms an estimate of C 2/n based on Monin-Obukhov similarity theory. We present phase-screen wave-optics propagation simulations comparing our improved model with previous models, in terms of turbulence metrics such as Fried's atmospheric coherence width r0, the scintillation index, and the Strehl ratio for both the weak and strong turbulence regimes, for vertical and slant paths, and for various characteristic regimes of the ratio w0=r0, where w0 is the Gaussian beam waist radius.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Colin N. Reinhardt, Stephen M. Hammel, Kevin McBryde, and Dimitris Tsintikidis "Improved vertical refractive-index structure parameter model for the maritime atmosphere based on local bulk meteorological measurements", Proc. SPIE 8517, Laser Communication and Propagation through the Atmosphere and Oceans, 85170L (24 October 2012); https://doi.org/10.1117/12.973361
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Cited by 4 scholarly publications.
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KEYWORDS
Atmospheric modeling

Turbulence

Atmospheric propagation

Scintillation

Meteorology

Computer simulations

Data modeling

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