Predictability and Dynamics of Geophysical Fluid Flows
OREGON STATE UNIV CORVALLIS COLL OF OCEANIC AND ATMOSPHERIC SCIENCES
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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.
- Physical and Dynamic Oceanography
- Fluid Mechanics