Predicting Deep Ocean Sound Speed by Stochastic Models.
Abstract
Archived hydrographic cast data were the basis of a stepwise regression analysis to develop a stochastic model of sound-speed distribution below a depth of 500 m in the Gulf of Alaska. A simple polynomial expression in three variables was found to fit the empirical data with a standard deviation of 0.51 m/sec and a percent variance explained by regression of 98.6 percent. Various comparisons of sound predictions (from the model) with observed data indicated close agreement. The accuracy and compactness of the model make it ideally suited for various applications in sonar prediction, as well as for rapid information retrieval. The method is recommended for employment in other geographical areas of interest to the Navy. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 1973
- Accession Number
- AD0758735
Entities
People
- H. W. Frye
Organizations
- Naval Undersea Warfare Center