Estimating breakpoints between climate states in the Cenozoic Era

Fuente: arXiv
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Autori principali: Bennedsen, Mikkel, Hillebrand, Eric, Koopman, Siem Jan, Larsen, Kathrine By
Natura: Preprint
Pubblicazione: 2024
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author Bennedsen, Mikkel
Hillebrand, Eric
Koopman, Siem Jan
Larsen, Kathrine By
author_facet Bennedsen, Mikkel
Hillebrand, Eric
Koopman, Siem Jan
Larsen, Kathrine By
contents This study presents a statistical time-domain approach for identifying transitions between climate states, referred to as breakpoints, using well-established econometric tools. We analyze a 67.1 million year record of the oxygen isotope ratio delta-O-18 derived from benthic foraminifera. The dataset is presented in Westerhold et al. (2020), where the authors use recurrence analysis to identify six climate states. Fixing the number of breakpoints to five, our procedure results in breakpoint estimates that closely align with those identified by Westerhold et al. (2020). By treating the number of breakpoints as a parameter to be estimated, we provide the statistical justification for more than five breakpoints in the time series. Further, our approach offers the advantage of constructing confidence intervals for the breakpoints, and it allows for testing the number of breakpoints present in the time series.
format Preprint
id arxiv_https___arxiv_org_abs_2404_08336
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Estimating breakpoints between climate states in the Cenozoic Era
Bennedsen, Mikkel
Hillebrand, Eric
Koopman, Siem Jan
Larsen, Kathrine By
Applications
This study presents a statistical time-domain approach for identifying transitions between climate states, referred to as breakpoints, using well-established econometric tools. We analyze a 67.1 million year record of the oxygen isotope ratio delta-O-18 derived from benthic foraminifera. The dataset is presented in Westerhold et al. (2020), where the authors use recurrence analysis to identify six climate states. Fixing the number of breakpoints to five, our procedure results in breakpoint estimates that closely align with those identified by Westerhold et al. (2020). By treating the number of breakpoints as a parameter to be estimated, we provide the statistical justification for more than five breakpoints in the time series. Further, our approach offers the advantage of constructing confidence intervals for the breakpoints, and it allows for testing the number of breakpoints present in the time series.
title Estimating breakpoints between climate states in the Cenozoic Era
topic Applications
url https://arxiv.org/abs/2404.08336