Local dimension and finite time prediction in coupled map lattices
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Data
2005-03-01
Autores
Muruganandam, P.
Francisco, G. [UNESP]
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Resumo
Forecasting, for obvious reasons, often become the most important goal to be achieved. For spatially extended systems (e.g. atmospheric system) where the local nonlinearities lead to the most unpredictable chaotic evolution, it is highly desirable to have a simple diagnostic tool to identify regions of predictable behaviour. In this paper, we discuss the use of the bred vector (BV) dimension, a recently introduced statistics, to identify the regimes where a finite time forecast is feasible. Using the tools from dynamical systems theory and Bayesian modelling, we show the finite time predictability in two-dimensional coupled map lattices in the regions of low BV dimension. © Indian Academy of Sciences.
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Coupled map lattices, Spatio-temporal chaos, Chaos theory, Earth atmosphere, Eigenvalues and eigenfunctions, Mathematical models, Matrix algebra, Nonlinear systems, Perturbation techniques, Statistics, Vectors, Weather forecasting, Covarience matrix, Finite time calculations, Maps
Como citar
Pramana - Journal of Physics, v. 64, n. 3 SPEC. ISS., p. 381-387, 2005.