The feasibility of inverting acoustic field statistics to obtain the parameters of a stochastic internal wave model is demonstrated using numerical simulations. For weak scattering satisfying the Rytov approximation, the parameters of a generalized form of the Garrett–Munk internal wave model can be obtained. A hierarchy of experiment scenarios has been studied. Scenarios range from a densely populated vertical receiving array to single-point measurements. In each case, the intrinsic range-averaging of acoustic measurements provides integral constraints on the environmental model. The success of the inversion improves with increasing experimental complexity. With a vertical array, up to four parameters of the internal wave model can be recovered. For the simplest situation, two parameters can be fit with reasonable accuracy. The implications of these results for understanding oceanographic processes are discussed.
Skip Nav Destination
Article navigation
July 1998
July 01 1998
Determining an ocean internal wave model using acoustic log-amplitude and phase: A Rytov inverse
Terry E. Ewart;
Terry E. Ewart
Applied Physics Laboratory, College of Ocean and Fishery Sciences, University of Washington, Seattle, Washington 98105
Search for other works by this author on:
Stephen A. Reynolds;
Stephen A. Reynolds
Applied Physics Laboratory, College of Ocean and Fishery Sciences, University of Washington, Seattle, Washington 98105
Search for other works by this author on:
Daniel Rouseff
Daniel Rouseff
Applied Physics Laboratory, College of Ocean and Fishery Sciences, University of Washington, Seattle, Washington 98105
Search for other works by this author on:
J. Acoust. Soc. Am. 104, 146–155 (1998)
Article history
Received:
November 25 1997
Accepted:
March 20 1998
Citation
Terry E. Ewart, Stephen A. Reynolds, Daniel Rouseff; Determining an ocean internal wave model using acoustic log-amplitude and phase: A Rytov inverse. J. Acoust. Soc. Am. 1 July 1998; 104 (1): 146–155. https://doi.org/10.1121/1.423264
Download citation file:
Sign in
Don't already have an account? Register
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Sign in via your Institution
Sign in via your InstitutionPay-Per-View Access
$40.00