Predictability in Unstable, Continuous Systems
Abstract
My long-term goal in this project is to improve our ability to predict environmental conditions using dynamical models. The central objective of my research in this project is to understand the mathematical and physical connections between the bred-growing-mode technique recently developed for numerical weather prediction, the Lyapunov vectors and exponents of dynamical systems theory, and the local instability theories of geophysical fluid dynamics. My intent is to gain insight into fundamental mathematical and physical aspects of predictability in unstable (irregular, chaotic) continuous systems.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 1999
- Accession Number
- ADA613952
Entities
People
- Roger M. Samelson
Organizations
- Oregon State University