Evolution of Internal Waves in Hydrostatic Models

Abstract

My long-term goal is improving our understanding of interactions between sub-grid scale models and numerical errors, which affect simulation skill for physical and biological processes in estuaries and coastal ocean environments. For prognostic simulations, slow accumulation of truncation-level errors will progressively distort model results. Present sub-grid scale models selectively address certain processes (e.g. turbulence) while neglecting other processes (e.g. small-scale internal waves, particulate nature of algae). As small-scale nonlinear errors can accumulate over time, understanding the errors and modeling the neglected processes are critical issues in improving our prognostic skill.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2002
Accession Number
ADA626974

Entities

People

  • Ben R. Hodges

Organizations

  • University of Texas at Austin

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Biological Processes
  • Boundary Layer
  • Civil Engineering
  • Diffusion
  • Dynamic Pressure
  • Engineering
  • Internal Waves
  • Models
  • Ocean Environments
  • Personal Information Managers
  • Potential Energy
  • Scale Models
  • Simulations
  • Stratified Fluids
  • Temperature Gradients
  • Thermoclines
  • Waves

Fields of Study

  • Environmental science

Readers

  • Computational Fluid Dynamics (CFD)
  • Computational Modeling and Simulation
  • Marine Ecotoxicology