Using MSSA to determine explicitly the oscillatory dynamics of weakly nonlinear climate systems

This paper presents a statistical diagnostic to interpret the dynamics of nonlinear variability in models. It consists in applying the Multichannel Singular Spectrum Analysis to the variability of a suitable equation of a dynamical system. This method enables us to evaluate the sensitivity of the os...

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Bibliographic Details
Published in:Nonlinear processes in geophysics 2005-01, Vol.12 (6), p.807-815
Main Authors: Raynaud, S., Yiou, P., Kleeman, R., Speich, S.
Format: Article
Language:English
Subjects:
Atmospheric and Oceanic Physics
Physics
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Summary:This paper presents a statistical diagnostic to interpret the dynamics of nonlinear variability in models. It consists in applying the Multichannel Singular Spectrum Analysis to the variability of a suitable equation of a dynamical system. This method enables us to evaluate the sensitivity of the oscillatory features of a physical model to tendencies in its mathematical formulation. Hence, responses in amplitude and frequency are determined in the phase space of the model. The example of interannual variability of the tropical Pacific climate through the analysis the Sea Surface Temperature equation of a hybrid coupled model is used to illustrate and validate the methodology.
ISSN:1607-7946
1023-5809
1607-7946
DOI:10.5194/npg-12-807-2005