Article ID Journal Published Year Pages File Type
1704671 Applied Mathematical Modelling 2013 8 Pages PDF
Abstract

In this paper, an ensemble technique combining the principal component analysis (PCA) with scale-dependent Lyapunov exponent (SDLE) is used to characterize complexity of precipitation dynamical system. The spatial–temporal precipitation data is decomposed by employing PCA method and then the SDLE for the first few principal components (PCs) time series are computed. The first few PCs time series are found to exhibit the different scaling laws on different time scales. The study illustrate that the spatial–temporal precipitation data is chaotic and the precipitation system is truly multiscaled and complex.

Related Topics
Physical Sciences and Engineering Engineering Computational Mechanics
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