Abstract
The only technique currently known for estimating all the statistical properties of an acoustical field propagating through a randomizing ocean is Monte Carlo simulation. The standard model in deep ocean propagation asserts that the randomization is due to sound speed perturbations caused by the vertical fluid displacements of random internal waves. The Henyey–Reynolds algorithm (Henyey and Reynolds in Numerical simulator of ocean internal waves for long-range acoustics, 2013 [4]) provides a computationally efficient method for generating these displacements for an ocean with range-independent stratification. This method, which is free from the Wentzel–Kramers–Brillouin approximation, uses vertical internal wave modes parameterized only by horizontal wavenumber magnitude, i.e., along only one dimension, as opposed to throughout the two dimensional horizontal wavenumber plane. Results are shown for the standard horizontally isotropic Garrett–Munk spectral model, and compared to the Colosi–Brown algorithm (Colosi and Brown in J Acoust Soc Am 103(4):2232–2235, 1998 [3]). Accurate models of the oceanographic mechanisms causing sound speed randomization will be needed in the estimation of the parameters of ocean mixing processes via inversion of acoustical fluctuation statistics.
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Investigation was sponsored by the Office of Naval Research code 322OA Ocean Acoustics.
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Andrew, R.K. (2016). Comparisons of Methods for Numerical Internal Wave Simulation in Long-Range Acoustical Propagation. In: Zhou, L., Xu, W., Cheng, Q., Zhao, H. (eds) Underwater Acoustics and Ocean Dynamics. Springer, Singapore. https://doi.org/10.1007/978-981-10-2422-1_3
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DOI: https://doi.org/10.1007/978-981-10-2422-1_3
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