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Reconstruction of the state space figure of indian ocean dipole

Majumder, S and Balakrishnan Nair, TM and Kiran Kumar, N (2019) Reconstruction of the state space figure of indian ocean dipole. Advances in Intelligent Systems and Computing, 816. pp. 471-482.

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State space reconstruction is an important index for describing nonlinear time series. However, reconstruction of state space figure is difficult if the data is noisy. Hence, noise reduction is an important step for reconstructing state space figure. In this study, we propose a method which can reconstruct state space picture from a noisy time series. This method is used for reconstructing state space figure from the data of Indian Ocean Dipole. Dimension of the reconstructed attractor is measured by computing correlation dimension. The dynamics of Indian Ocean Dipole is not well understood. The reconstruction of state space figure indicates that there is chaos in Indian Ocean Dipole. Positive Lyapunov exponent reconfirms that the dynamics of Indian Ocean Dipole is chaotic. © Springer Nature Singapore Pte Ltd. 2019.

Item Type: Article
Additional Information: Copyright of this article belongs to Springer
Uncontrolled Keywords: Fast Fourier transforms; Lyapunov methods; Noise abatement; Oceanography; Singular value decomposition; Soft computing; Time series, Correlation dimensions; Indian Ocean dipole; Lyapunov exponent; Nonlinear time series; Reconstructed attractor; State space reconstruction, Problem solving
Subjects: Oceanography > oceanography
Depositing User: INCOIS Library
Date Deposited: 29 Apr 2019 08:07
Last Modified: 29 Apr 2019 08:07

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