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2018 | OriginalPaper | Chapter

Cautionary Remarks on the Auto-Correlation Analysis of Self-Similar Time Series

Author : Sung Yong Kim

Published in: Advances in Nonlinear Geosciences

Publisher: Springer International Publishing

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Abstract

As the time-domain analysis of non-linear time series in geosciences, the auto-correlations of the self-similar time series are examined to identify spurious decorrelation structures in terms of the number of independent pulses and the shape of decay patterns. The self-similar time series is defined as a continuous time series having similar shapes of disturbance or amplitudes of which statistics is non-Gaussian, such as records of river flows, rainfall, wind speed, concentration of Chlorophyll, and inertial amplitudes in geosciences. In this chapter, the auto-correlations of the modeled self-similar time series are evaluated and the relevant cautionary remarks are discussed.

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previous chapter Data-Adaptive Harmonic Decomposition and Stochastic Modeling of Arctic Sea Ice
next chapter Emergence of Coherent Clusters in the Ocean
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Metadata
Title
Cautionary Remarks on the Auto-Correlation Analysis of Self-Similar Time Series
Author
Sung Yong Kim
Copyright Year
2018
Book
Advances in Nonlinear Geosciences

Print ISBN: 978-3-319-58894-0

Electronic ISBN: 978-3-319-58895-7

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-58895-7_11