Preprints
https://doi.org/10.5194/npg-2024-13
https://doi.org/10.5194/npg-2024-13
21 May 2024
 | 21 May 2024
Status: this preprint is currently under review for the journal NPG.

Characterisation of Dansgaard-Oeschger events in palaeoclimate time series using the Matrix Profile

Susana Barbosa, Maria Eduarda Silva, and Denis-Didier Rousseau

Abstract. Palaeoclimate time series, reflecting the state of Earth's climate in the distant past, display occasionally very large and rapid shifts, evidencing abrupt climate variability. The identification and characterisation of these abrupt transitions in palaeoclimate records is of particular interest as it allows the understanding of millennial climate variability and the identification of potential tipping points in the context of current climate change. Methods that are able to characterise these events in an objective and automatic way, in a single time series or across two proxy records, are therefore of particular interest. In our study the matrix profile approach is used to describe Dansgaard-Oeschger (DO) events, abrupt warmings detected in Greenland ice core, and Northern Hemisphere marine and continental records. The results indicate that canonical events DO-19 and DO-20, occurring at around 72 and 76 ka, are the most similar events over the past 110,000 years. These transitions are characterised by matching transitions corresponding to events DO-1, DO-8 and DO-12. These transitions are abrupt, resulting in a rapid shift to warmer conditions, followed by a gradual return to cold conditions. The joint analysis of the δ18O and Ca2+ time series indicates that the transition corresponding to the DO-19 event is the most similar event across the two time series.

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Susana Barbosa, Maria Eduarda Silva, and Denis-Didier Rousseau

Status: open (until 16 Jul 2024)

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Susana Barbosa, Maria Eduarda Silva, and Denis-Didier Rousseau
Susana Barbosa, Maria Eduarda Silva, and Denis-Didier Rousseau

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Short summary
The characterisation of abrupt transitions in palaeoclimate records allows the understanding of millennial climate variability and of potential tipping points in the context of current climate change. In our study an algorithmic method, the matrix profile, is employed to characterise abrupt warmings designated as Dansgaard-Oeschger (DO) events and to identify the most similar transitions in the palaeoclimate time series.