Bifurcations and tipping points (TPs) are an important part of the Earth system’s behavior. These critical points represent thresholds at which small changes in the system’s parameters or in the forcing abruptly switch it from one state or type of behavior to another. Current concern with TPs is largely due to the potential of slow anthropogenic forcing to bring about abrupt, and possibly irreversible, change to the physical climate system and impacted ecosystems. Paleoclimate proxy records have been shown to contain abrupt transitions, or “jumps,” which may represent former instances of such dramatic climate change events. These transitions can provide valuable information for identifying critical TPs in current and future climate evolution. Here, we present a robust methodology for detecting abrupt transitions in proxy records that is applied to ice core and speleothem records of the last climate cycle. This methodology is based on the nonparametric Kolmogorov–Smirnov (KS) test for the equality, or not, of the probability distributions associated with two samples drawn from a time series, before and after any potential jump. To improve the detection of abrupt transitions in proxy records, the KS test is augmented by several other criteria and it is compared with recurrence analysis. The augmented KS test results show substantial skill when compared with more subjective criteria for jump detection. This test can also usefully complement recurrence analysis and improve upon certain aspects of its results.
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November 2021
Research Article|
November 16 2021
Automatic detection of abrupt transitions in paleoclimate records
W. Bagniewski
;
W. Bagniewski
a)
1
Department of Geosciences and Laboratoire de Météorologie Dynamique (CNRS and IPSL), École Normale Supérieure and PSL University
, 75132 Paris Cedex 05, France
a)Author to whom correspondence should be addressed: wbagniewski@lmd.ipsl.fr
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M. Ghil
;
M. Ghil
1
Department of Geosciences and Laboratoire de Météorologie Dynamique (CNRS and IPSL), École Normale Supérieure and PSL University
, 75132 Paris Cedex 05, France
2
Department of Atmospheric and Oceanic Science, University of California at Los Angeles
, Los Angeles, California 90095, USA
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D. D. Rousseau
D. D. Rousseau
3
Geosciences Montpellier, University of Montpellier, CNRS
, 34095 Montpellier, France
4
Lamont Doherty Earth Observatory, Columbia University
, New York, New York 10964, USA
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a)Author to whom correspondence should be addressed: wbagniewski@lmd.ipsl.fr
Chaos 31, 113129 (2021)
Article history
Received:
July 06 2021
Accepted:
October 08 2021
Citation
W. Bagniewski, M. Ghil, D. D. Rousseau; Automatic detection of abrupt transitions in paleoclimate records. Chaos 1 November 2021; 31 (11): 113129. https://doi.org/10.1063/5.0062543
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