Sensitivity Studies Using Multi-Region and Open Boundary Conditions for Terrain Bottom-Following Ocean Models

Abstract

The objective of this thesis is to develop a prognostic model of the Northern Canary Current System (NCCS) based on the Princeton Ocean Model (POM) with parallel processing capabilities on a cluster of workstations and improved boundary conditions. A one-way coupling with a z-level basin scale model, a North Atlantic version of the Parallel Ocean Program (POP), will also be executed. The development of this model will allow the investigation of coastal processes and the development of numerical models in order to improve the results of sigma coordinate bottom-following ocean models. The roles of wind forcing, bottom topography and them%thermohaline gradients in coastal processes will be investigated. In order to reduce the pressure gradient force error while maintaining a realistic topography, a new topographic smoothing technique will be developed. Modified Marchesiello boundary conditions will be applied to a version of POM model one-way coupled with a North Atlantic version of POP. Finally, an automatic multi-region parallelization will be developed, applying minimal changes to the serial POM code. It is shown that a prognostic sigma-coordinate model can be successfully developed for the NCCS, with more realistic topography, improved boundary conditions and with parallel processing capabilities.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2003
Accession Number
ADA415100

Entities

People

  • Antonio S. Martinho

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Boundary Layer
  • Coastal Regions
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computers
  • Geography
  • Geometry
  • Iberian Peninsula
  • Military Research
  • Oceanography
  • Parallel Computing
  • Parallel Processing
  • Pressure Gradients
  • Terrain
  • Three Dimensional
  • Topography

Readers

  • Coastal Oceanography
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Wave Propagation and Nonlinear Chaotic Dynamics.