NDLI: An analytic smoothing of an internal wave sound speed model

Content Provider	IEEE Xplore Digital Library
Author	Hegewisch, K.C. Cerruti, N.R. Tomsovic, S.
Copyright Year	2003
Description	Author affiliation: Dept. of Phys., Washington State Univ., Pullman, WA, USA (Hegewisch, K.C.)
Abstract	Summary form only given. Brown and Colosi (JASA 103(4), 2232 (1998)) introduced an efficient numerical scheme for the internal wave perturbations in the deep ocean sound speed model that reproduces the Garrett-Munk spectrum. This scheme allows for the addition of an infinite number of vertical modes with decreasing wavelengths to the potential. Since wave propagation can only detect features of the potential on the order of the smallest wavelength in the wave packet, there exists a maximum number of modes that are physically relevant to the wave propagation. The maximum mode depends only on the spread and center frequency of the source. Although including the maximum number modes is computationally demanding, these modes are necessary in order to capture all the dynamics contained in the ocean model. Additionally, the effects of internal waves have been shown to introduce chaos into geometrical ray tracing methods and will eventually cause these methods to breakdown for long ranges. We introduce a smoothing of the internal wave model which filters out the high frequency components in each mode, but does not significantly alter the propagated wavefield. The smoothing does, however, eliminate the small scale structures in the classical manifolds and allows the ray methods to be extended in range.
Sponsorship	Dept. of the Navy Sci. and Technol. Coalition for Enhanced Marine Resources Orincon Ceros Harbour Offshore Inc
File Size	49093
File Format	PDF
ISBN	0933957300
DOI	10.1109/OCEANS.2003.178642
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-09-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	MTS
Subject Keyword	Smoothing methods Physics Oceans Frequency Acoustic propagation Computer vision Chaos Ray tracing Electric breakdown Filters
Content Type	Text
Resource Type	Article

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