Description, Analysis, and Prediction of Sea-Floor Roughness Using Spectral Models

Abstract

A method has been developed which allows a valid statistical model of the variability of oceanic depths to be derived from existing digital bathymetric soundings. The bathymetry of the world ocean has been mapped using a variety of acoustic sounding instruments and traditional contouring methods. The bathymetric contours represent a low-frequency, deterministic model of the seafloor. To describe the higher frequency variability, or roughness, of the seafloor requires the development of an appropriate statistical method for generating a valid stochastic model. The smooth contoured surface (often preserved as a geographic grid of depths), when supplemented by such a roughness model, provides a complete description of the relief. The statistical model of the seafloor roughness is also a valuable tool for predicting acoustic scattering and bottom loss, and in addition contains a wealth of geological information for interpreting deep-sea processes.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1985
Accession Number
ADA158000

Entities

People

  • Chcristopher G. Fox

Organizations

  • Naval Oceanographic Office

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Computational Science
  • Data Science
  • Databases
  • Geographic Regions
  • Geography
  • Information Science
  • Oceanography
  • Oceans
  • Photographs
  • Ridges
  • Scattering
  • Seabed
  • Statistical Algorithms
  • Statistical Analysis
  • Surveys
  • Terrain
  • Topography

Readers

  • Acoustical Oceanography.
  • Geodesy
  • Theoretical Analysis.