Data analysis and modeling of Arctic sea ice subsurface roughness
Gaver, Donald P.
MetadataShow full item record
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
NPS Report NumberNPS-55-82-Q31
Showing items related by title, author, creator and subject.
Buss, Arnold (Monterey, California: Naval Postgraduate School., 2004);A recurring dilemma in the use of simulation models for analytic support of decision-making has been the length of time required to build the simulation model. Although emerging simulations have improved over legacy models, ...
Taylor, Ian (Monterey, California: Naval Postgraduate School, 2017-09);This research presents the first accurate three and six Degree of Freedom (DOF) models of the small diameter REMUS 100 with cross-tunnel thrusters (CTT). These are the first known hydrodynamic models to explicitly consider ...
A study of spectral element and discontinuous Galerkin methods for the Navier–Stokes equations in nonhydrostatic mesoscale atmospheric modeling: Equation sets and test cases Giraldo, Francis X.; Restelli, M. (2008);We present spectral element (SE) and discontinuous Galerkin (DG) solutions of the Euler and compressible Navier– Stokes (NS) equations for stratified fluid flow which are of importance in nonhydrostatic mesoscale atmospheric ...