Data analysis and modeling of Arctic sea ice subsurface roughness

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 GUR...

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Bibliographic Details
Main Authors: Gaver, Donald P., Jacobs, P.A.
Other Authors: Operations Research (OR), Naval Postgraduate School (U.S.), Graduate School of Operational and Information Sciences (GSOIS)
Format: Report
Language:English
Published: Monterey, California. Naval Postgraduate School 1982
Subjects:
Arctic ice
ice keels
ice distribution
statistical distributions
WAR GAMES > SIMULATION METHODS.NUCLEAR WARFARE > SIMULATION METHODS.STRATEGY.INTELLIGENCE SERVICE
Arctic
Arlington
Beaufort Sea
Sea ice
Online Access:https://hdl.handle.net/10945/29791
Description
Summary: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 N0001482WR20043 NA supported in part by the Naval Postgraduate School Foundation Research Program and by the Office of Naval Research, Arlington, VA. http://archive.org/details/dataanalysismode00gave

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