Articles | Volume 18, issue 2
https://doi.org/10.5194/cp-18-249-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/cp-18-249-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
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11 Feb 2022
Research article | Highlight paper |
| 11 Feb 2022
| 11 Feb 2022
Abrupt climate changes and the astronomical theory: are they related?
Denis-Didier Rousseau
CORRESPONDING AUTHOR
Geosciences Montpellier, University Montpellier, CNRS, Montpellier,
France
Institute of Physics-CSE, Division of Geochronology and Environmental Isotopes, Silesian University of Technology, Gliwice, Poland
Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY 10964, USA
Witold Bagniewski
Laboratoire de Météorologie Dynamique, Institut Pierre Simon Laplace, CNRS, Ecole Normale Supérieure and PSL University, Paris, France
Michael Ghil
Laboratoire de Météorologie Dynamique, Institut Pierre Simon Laplace, CNRS, Ecole Normale Supérieure and PSL University, Paris, France
Department of Atmospheric and Oceanic Sciences, University of
California, Los Angeles, CA 90095, USA
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Susana Barbosa, Maria Eduarda Silva, and Denis-Didier Rousseau
Nonlin. Processes Geophys., 31, 433–447, https://doi.org/10.5194/npg-31-433-2024, https://doi.org/10.5194/npg-31-433-2024, 2024
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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.
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A year after his doctoral thesis, Ložek chose to share with the international community not only his vision but also the one that the Czechoslovakian researchers working on loess deposits had at that time, through a paper published in the well-established E&G journal. It represented a detailed and complete state of the art of loess and mollusc studies at that time, an extraordinarily synthetic review that still yields a modern flavor as many of the points made remain relevant today.
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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.
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Nonlin. Processes Geophys., 30, 399–434, https://doi.org/10.5194/npg-30-399-2023, https://doi.org/10.5194/npg-30-399-2023, 2023
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Building upon Milancovic's theory of orbital forcing, this paper reviews the interplay between intrinsic variability and external forcing in the emergence of glacial interglacial cycles. It provides the reader with historical background information and with basic theoretical concepts used in recent paleoclimate research. Moreover, it presents new results which confirm the reduced stability of glacial-cycle dynamics after the mid-Pleistocene transition.
Denis-Didier Rousseau
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A year after his doctoral thesis, Ložek chose to share with the international community not only his vision but also the one that the Czechoslovakian researchers working on loess deposits had at that time, through a paper published in the well-established E&G journal. It represented a detailed and complete state of the art of loess and mollusc studies at that time, an extraordinarily synthetic review that still yields a modern flavor as many of the points made remain relevant today.
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Nonlin. Processes Geophys. Discuss., https://doi.org/10.5194/npg-2021-35, https://doi.org/10.5194/npg-2021-35, 2021
Preprint withdrawn
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Data assimilation (DA) is the process of combining model forecasts with observations in order to provide an optimal estimate of the system state. When models are imperfect, the uncertainty in the forecasts may be underestimated, requiring inflation of the corresponding error covariance. Here, we present a simple method for estimating the magnitude and structure of the model error covariance matrix. We demonstrate the efficacy of this method with idealized experiments.
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Short summary
The study of abrupt climate changes is a relatively new field of research that addresses paleoclimate variations that occur in intervals of tens to hundreds of years. Such timescales are much shorter than the tens to hundreds of thousands of years that the astronomical theory of climate addresses. We revisit several high-resolution proxy records of the past 3.2 Myr and show that the abrupt climate changes are nevertheless affected by the orbitally induced insolation changes.
The study of abrupt climate changes is a relatively new field of research that addresses...
