Lyapunov, Floquet, and singular vectors for baroclinic waves

Nonlinear Processes in Geophysics

Volumn 8, Issue 6, 2001, Pages 439-448

  Samelson, R M ^a  

^a OREGON STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC DYNAMICS; BAROCLINIC WAVE; MODEL; NONLINEARITY; VECTOR;

EID: 0035714612     PISSN: 10235809     EISSN: None     Source Type: Journal    
DOI: 10.5194/npg-8-439-2001     Document Type: Article

References (27)

1. Recycling of strange sets I: Cycle expansions
2. Recycling of strange sets II: Applications
3. Lyapunov characteristic exponents for smooth dynamical systems and for Hamiltonian systems: A method for computing all of them
4. The impact of orographic forcing on barotropic unstable singular vectors
5. The singular vector structure of the atmospheric general circulation
6. Computation of unstable structures for a numerical weather prediction model
7. Spatio-temporal chaos in terms of unstable recurrent patterns
8. Optimal prediction of forecast error covariances through singular vectors
9. Stochastic dynamic prediction
10. Optimal excitation of baroclinic waves
11. A numerical study of baroclinic instability at large supercriticality
12. A guide to Lyapunov vectors
13. Theoretical skill of Monte Carlo forecasts
14. Deterministic nonperiodic flow
15. A study of the predictability of a 28-variable atmospheric model
16. Finite-amplitude baroclinic waves with small dissipation
17. Chaotic and periodic behaviour of finite-amplitude baroclinic waves
18. Periodic orbits and disturbance growth for baroclinic waves
19. A numerical approach to ergodic problem of dissipative dynamical systems
20. A comparison of Lyapunov and optimal vectors in a low resolution GCM
21. Ensemble forecasting at NCEP and the breeding method
22. Transient error growth and local predictability: A study in the Lorenz system
23. Periodic orbits, Lyapunov vectors, and singular vectors in the Lorenz system
24. Lyapunov vectors and error growth patterns in a T21L3 quasigeostrophic model