Articles | Volume 31, issue 3
https://doi.org/10.5194/npg-31-433-2024
https://doi.org/10.5194/npg-31-433-2024
Research article
 | 
19 Sep 2024
Research article |  | 19 Sep 2024

Characterisation of Dansgaard–Oeschger events in palaeoclimate time series using the matrix profile method

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

Related authors

Abrupt climate changes and the astronomical theory: are they related?
Denis-Didier Rousseau, Witold Bagniewski, and Michael Ghil
Clim. Past, 18, 249–271, https://doi.org/10.5194/cp-18-249-2022,https://doi.org/10.5194/cp-18-249-2022, 2022
Short summary
A tribute to Ložek (1965): The problem of loess formation and the loess molluscs
Denis-Didier Rousseau
E&G Quaternary Sci. J., 70, 229–233, https://doi.org/10.5194/egqsj-70-229-2021,https://doi.org/10.5194/egqsj-70-229-2021, 2021
Short summary
Dansgaard–Oeschger-like events of the penultimate climate cycle: the loess point of view
Denis-Didier Rousseau, Pierre Antoine, Niklas Boers, France Lagroix, Michael Ghil, Johanna Lomax, Markus Fuchs, Maxime Debret, Christine Hatté, Olivier Moine, Caroline Gauthier, Diana Jordanova, and Neli Jordanova
Clim. Past, 16, 713–727, https://doi.org/10.5194/cp-16-713-2020,https://doi.org/10.5194/cp-16-713-2020, 2020
Short summary
Rapid waxing and waning of Beringian ice sheet reconcile glacial climate records from around North Pacific
Zhongshi Zhang, Qing Yan, Ran Zhang, Florence Colleoni, Gilles Ramstein, Gaowen Dai, Martin Jakobsson, Matt O'Regan, Stefan Liess, Denis-Didier Rousseau, Naiqing Wu, Elizabeth J. Farmer, Camille Contoux, Chuncheng Guo, Ning Tan, and Zhengtang Guo
Clim. Past Discuss., https://doi.org/10.5194/cp-2020-38,https://doi.org/10.5194/cp-2020-38, 2020
Manuscript not accepted for further review
Short summary
Inverse stochastic–dynamic models for high-resolution Greenland ice core records
Niklas Boers, Mickael D. Chekroun, Honghu Liu, Dmitri Kondrashov, Denis-Didier Rousseau, Anders Svensson, Matthias Bigler, and Michael Ghil
Earth Syst. Dynam., 8, 1171–1190, https://doi.org/10.5194/esd-8-1171-2017,https://doi.org/10.5194/esd-8-1171-2017, 2017
Short summary

Related subject area

Subject: Time series, machine learning, networks, stochastic processes, extreme events | Topic: Climate, atmosphere, ocean, hydrology, cryosphere, biosphere | Techniques: Big data and artificial intelligence
Representation learning with unconditional denoising diffusion models for dynamical systems
Tobias Sebastian Finn, Lucas Disson, Alban Farchi, Marc Bocquet, and Charlotte Durand
Nonlin. Processes Geophys., 31, 409–431, https://doi.org/10.5194/npg-31-409-2024,https://doi.org/10.5194/npg-31-409-2024, 2024
Short summary
Evaluation of forecasts by a global data-driven weather model with and without probabilistic post-processing at Norwegian stations
John Bjørnar Bremnes, Thomas N. Nipen, and Ivar A. Seierstad
Nonlin. Processes Geophys., 31, 247–257, https://doi.org/10.5194/npg-31-247-2024,https://doi.org/10.5194/npg-31-247-2024, 2024
Short summary
The sampling method for optimal precursors of El Niño–Southern Oscillation events
Bin Shi and Junjie Ma
Nonlin. Processes Geophys., 31, 165–174, https://doi.org/10.5194/npg-31-165-2024,https://doi.org/10.5194/npg-31-165-2024, 2024
Short summary
A comparison of two causal methods in the context of climate analyses
David Docquier, Giorgia Di Capua, Reik V. Donner, Carlos A. L. Pires, Amélie Simon, and Stéphane Vannitsem
Nonlin. Processes Geophys., 31, 115–136, https://doi.org/10.5194/npg-31-115-2024,https://doi.org/10.5194/npg-31-115-2024, 2024
Short summary
A two-fold deep-learning strategy to correct and downscale winds over mountains
Louis Le Toumelin, Isabelle Gouttevin, Clovis Galiez, and Nora Helbig
Nonlin. Processes Geophys., 31, 75–97, https://doi.org/10.5194/npg-31-75-2024,https://doi.org/10.5194/npg-31-75-2024, 2024
Short summary

Cited articles

Agrawal, R., Faloutsos, C., and Swami, A.: Efficient similarity search in sequence databases, in: Foundations of Data Organization and Algorithms: 4th International Conference, FODO'93 Chicago, Illinois, USA, October 13–15, 1993 Proceedings 4, 69–84, Springer, https://doi.org/10.1007/3-540-57301-1_5, 1993. a
Andersen, K. K., Azuma, N., Barnola, J.-M., Bigler, M., Biscaye, P., Caillon, N., Chappellaz, J., Clausen, H. B., Dahl-Jensen, D., Fischer, H., Flückiger, J., Fritzsche, D., Fujii, Y., Goto-Azuma, K., Grønvold, K., Gundestrup, N. S., Hansson, M., Huber, C., Hvidberg, C. S., Johnsen, S. J., Jonsell, U., Jouzel, J., Kipfstuhl, S., Landais, A., Leuenberger, M., Lorrain, R., Masson-Delmotte, V., Miller, H., Motoyama, H., Narita, H., Popp, T., Rasmussen, S. O., Raynaud, D., Rothlisberger, R., Ruth, U., Samyn, D., Schwander, J., Shoji, H., Siggard-Andersen, M.-L., Steffensen, J. P., Stocker, T., Sveinbjörnsdóttir, A. E., Svensson, A., Takata, M., Tison, J.-L., Thorsteinsson, T., Watanabe, O., Wilhelms, F., and White, J. W. C.: High-resolution record of Northern Hemisphere climate extending into the last interglacial period, Nature, 431, 147–151, https://doi.org/10.1038/nature02805, 2004. a
Bagniewski, W., Ghil, M., and Rousseau, D. D.: Automatic detection of abrupt transitions in paleoclimate records, Chaos, 31, 113129, https://doi.org/10.1063/5.0062543, 2021. a, b
Bagniewski, W., Rousseau, D.-D., and Ghil, M.: The PaleoJump database for abrupt transitions in past climates, Sci. Rep., 13, 4472, https://doi.org/10.1038/s41598-023-30592-1, 2023. a
Barbosa, S., Silva, M., and Rousseau, D.-D.: Matrix profile analysis of Dansgaard-Oeschger events in palaeoclimate time series, INESC TEC [data set], https://doi.org/10.25747/T9GX-9729, 2024. a
Download
Short summary
The characterisation of abrupt transitions in palaeoclimate records allows understanding of millennial climate variability and 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.