首页|Tracking δ13C and δ18O fluctuations uncovers stable modes and key patterns of paleoclimate

Tracking δ13C and δ18O fluctuations uncovers stable modes and key patterns of paleoclimate

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The examination of fluctuations in the correlations between δ13C and δ18O is of significant importance for the reconstruction of the Earth's climate history.A key challenge in paleoclimatology is finding a suitable method to represent the correlated fluctuation system between δ13C and δ18O.The method must be able to handle data sets with missing or inaccurate values,while still retaining the full range of dynamic infor-mation about the system.The non-linear and complex correlations between δ13C and δ18O poses a chal-lenge in developing reliable and interpretable approaches.The transition network,which involves embedding the δ13C and δ18O sequence into the network using phase space reconstruction,is a coarse-grained based approach.This approach is well-suited to nonlinear,complex dynamic systems,and is par-ticularly adept at emerging knowledge from low-quality datasets.We have effectively represented the fluctuations in the correlation between δ13C and δ18O since 66 million years ago(Ma)using a system of complex network.This system,which has topological dynamical structures,is able to uncover the stable modes and key patterns in Cenozoic climate dynamics.Our findings could help to improve climate models and predictions of future climate change.

Cenozoic climate dynamicsCorrelation analysisComplex networkCoarse-grained methodsPhase space reconstruction

Shifeng Sun、Haiying Wang、Yongjian Huang

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School of Science,China University of Geosciences(Beijing),Beijing 100083,China

State Key Laboratory of Biogeology and Environmental Geology,China University of Geosciences(Beijing),Beijing 100083,China

School of Earth Sciences and Resources,China University of Geosciences(Beijing),Beijing 100083,China

2022 Subject Development Research Fund Project of China University of Geosciences,Beijing2023 Graduate Innovation Fund Project of China University of Geosciences,BeijingNational Natural Science Foundation of ChinaNational Natural Science Foundation of China

2022XK211YB2023YC0144217414942272134

2024

10.1016/j.gsf.2024.101805

地学前缘(英文版)
中国地质大学（北京） 北京大学

地学前缘(英文版)

CSTPCD
影响因子：0.576
ISSN：1674-9871
年,卷(期)：2024.15(4)
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