Data Analysis and Modeling of Arctic Sea Ice Subsurface Roughness.

Abstract

Statistical data analysis and models are used to characterize and summarize the roughness of the underside of sea ice in the Arctic. Keel spacings and depths are modeled by sculptured exponentials, and by gamma distributions. The data studied was obtained by upward looking sonar on the submarine GURNARD during April, 1976, in the Beaufort Sea. The models and methods should be more widely applicable. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1982
Accession Number
ADA133349

Entities

People

  • Donald P. Gaver
  • P. A. Jacobs

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Beaufort Sea
  • California
  • Confidence Limits
  • Data Analysis
  • Data Mining
  • Data Science
  • Distribution Functions
  • Information Science
  • Measuring Instruments
  • Military Operations
  • Operations Research
  • Order Statistics
  • Probability
  • Random Variables
  • Sea Ice
  • Statistical Distributions
  • Statistics

Readers

  • Polar and Arctic Studies
  • Statistical inference.

Technology Areas

  • Space