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Long-term Numerical Weather Prediction
- Publisher
- Springer Journals
- Copyright
- 2003 Chinese Society of Theoretical and Applied Mechanics
- ISSN
- 0567-7718
- eISSN
- 1614-3116
- DOI
- 10.1007/BF02487674
- Publisher site
- See Article on Publisher Site
Abstract
Abstract The round-off error introduces uncertainty in the numerical solution. A computational uncertainty principle is explained and validated by using chaotic systems, such as the climatic model, the Rossler and super chaos system. Maximally effective computation time (MECT) and optimal stepsize (OS) are discussed and obtained via an optimal searching method. Under OS in solving nonlinear ordinary differential equations, the self-memorization equations of chaotic systems are set up, thus a new approach to numerical weather forecast is described.
Journal
"Acta Mechanica Sinica" – Springer Journals
Published: Apr 1, 2003