Regime change detection in irregularly sampled time series

Fuente: arXiv
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Main Authors: Marwan, Norbert, Eroglu, Deniz, Ozken, Ibrahim, Stemler, Thomas, Wyrwoll, Karl-Heinz, Kurths, Jürgen
Format: Preprint
Published: 2024
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author Marwan, Norbert
Eroglu, Deniz
Ozken, Ibrahim
Stemler, Thomas
Wyrwoll, Karl-Heinz
Kurths, Jürgen
author_facet Marwan, Norbert
Eroglu, Deniz
Ozken, Ibrahim
Stemler, Thomas
Wyrwoll, Karl-Heinz
Kurths, Jürgen
contents Irregular sampling is a common problem in palaeoclimate studies. We propose a method that provides regularly sampled time series and at the same time a difference filtering of the data. The differences between successive time instances are derived by a transformation costs procedure. A subsequent recurrence analysis is used to investigate regime transitions. This approach is applied on speleothem based palaeoclimate proxy data from the Indonesian-Australian monsoon region. We can clearly identify Heinrich events in the palaeoclimate as characteristic changes in the dynamics.
format Preprint
id arxiv_https___arxiv_org_abs_2401_10006
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Regime change detection in irregularly sampled time series
Marwan, Norbert
Eroglu, Deniz
Ozken, Ibrahim
Stemler, Thomas
Wyrwoll, Karl-Heinz
Kurths, Jürgen
Data Analysis, Statistics and Probability
Chaotic Dynamics
Atmospheric and Oceanic Physics
Irregular sampling is a common problem in palaeoclimate studies. We propose a method that provides regularly sampled time series and at the same time a difference filtering of the data. The differences between successive time instances are derived by a transformation costs procedure. A subsequent recurrence analysis is used to investigate regime transitions. This approach is applied on speleothem based palaeoclimate proxy data from the Indonesian-Australian monsoon region. We can clearly identify Heinrich events in the palaeoclimate as characteristic changes in the dynamics.
title Regime change detection in irregularly sampled time series
topic Data Analysis, Statistics and Probability
Chaotic Dynamics
Atmospheric and Oceanic Physics
url https://arxiv.org/abs/2401.10006