Predictability and Dynamics of Geophysical Fluid Flows

Abstract

The long-term goal of the research in this project is to improve our ability to predict environmental conditions using dynamical models. The central objective of the research in this project is to understand the mathematical and physical connections between the bred-growing-mode and singular vector techniques recently developed for numerical weather prediction, the Lyapunov vectors and exponents of dynamical systems theory, and instability theories of geophysical fluid dynamics. The intent is to gain insight into fundamental mathematical and physical aspects of predictability in unstable (irregular, chaotic) continuous systems. A combination of analytical and numerical methods are being used to study a variety of mathematical models of geophysical fluid flows.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2006
Accession Number
ADA612199

Entities

People

  • Roger M. Samelson

Organizations

  • Oregon State University

Tags

DTIC Thesaurus Topics

  • Atmosphere Models
  • Atmospheric Sciences
  • Computational Science
  • Dynamics
  • Flow
  • Fluid Dynamics
  • Fluid Flow
  • Information Operations
  • Mathematical Models
  • Models
  • Nonlinear Dynamics
  • Oscillation
  • Physics
  • Standards
  • Universities
  • Weather Forecasting

Readers

  • Control Systems Engineering.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers