Graduation date: 2007The mathematical and physical connections between three different ways of quantifying linear predictability in geophysical fluid systems are studied in a series of analytical and numerical models. Normal modes, as they are traditionally formulated in the instabilities theories of geophysical fluid dynamics, characterize the asymptotic development of disturbances to stationary flows. Singular vectors, currently used to generate initial conditions for ensemble forecasting systems at some operational centers, characterize the transient evolution of disturbances to flows with arbitrary time dependence. Lyapunov vectors are an attempt to associate a physical structure with the Lyapunov exponents, which give the rate at which...
We study a simplified coupled atmosphere-ocean model using the formalism of covariant Lyapunov vecto...
Nonlinear local Lyapunov vectors (NLLVs), theoretically inherited from the linear Lyapunov vectors (...
International audienceThe structural organization of initially random perturbations or "errors" evol...
Dynamical vectors characterizing instability and applicable as ensemble perturbations for prediction...
Linear disturbance growth is studied in a quasigeostrophic baroclinic channel model with several tho...
My long-term goal in this project is to improve our ability to predict environmental conditions usin...
International audienceThe dynamics of the growth of linear disturbances to a chaotic basic state is ...
The growth of linear disturbances to stable and unstable time-periodic basic states is analyzed in a...
Asymptotic linear stability of time-dependent flows is examined by extending to nonautonomous system...
The classical approach for studying atmospheric variability is based on defining a background state ...
As pointed out by Farrell, a normalmode analysis alone may be not enough for a convicing investigati...
A numerical method for detection of unstable periodic orbits on attractors of nonlinear models is pr...
Floquet theory is applied to the stability of time-periodic, nonparallel shear flows consisting of a...
The local instabilities of a nonlinear dynamical system can be characterized by the leading singular...
The study of oscillating norm behavior in linear systems is addressed. The analysis is carried out b...
We study a simplified coupled atmosphere-ocean model using the formalism of covariant Lyapunov vecto...
Nonlinear local Lyapunov vectors (NLLVs), theoretically inherited from the linear Lyapunov vectors (...
International audienceThe structural organization of initially random perturbations or "errors" evol...
Dynamical vectors characterizing instability and applicable as ensemble perturbations for prediction...
Linear disturbance growth is studied in a quasigeostrophic baroclinic channel model with several tho...
My long-term goal in this project is to improve our ability to predict environmental conditions usin...
International audienceThe dynamics of the growth of linear disturbances to a chaotic basic state is ...
The growth of linear disturbances to stable and unstable time-periodic basic states is analyzed in a...
Asymptotic linear stability of time-dependent flows is examined by extending to nonautonomous system...
The classical approach for studying atmospheric variability is based on defining a background state ...
As pointed out by Farrell, a normalmode analysis alone may be not enough for a convicing investigati...
A numerical method for detection of unstable periodic orbits on attractors of nonlinear models is pr...
Floquet theory is applied to the stability of time-periodic, nonparallel shear flows consisting of a...
The local instabilities of a nonlinear dynamical system can be characterized by the leading singular...
The study of oscillating norm behavior in linear systems is addressed. The analysis is carried out b...
We study a simplified coupled atmosphere-ocean model using the formalism of covariant Lyapunov vecto...
Nonlinear local Lyapunov vectors (NLLVs), theoretically inherited from the linear Lyapunov vectors (...
International audienceThe structural organization of initially random perturbations or "errors" evol...