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  Tipping point-induced abrupt shifts in East Asian hydroclimate since the Last Glacial Maximum

Lu, F., Lu, H., Gu, Y., Lin, P., Lu, Z., Zhang, Q., Zhang, H., Yang, F., Dong, X., Yi, S., Chen, D., Pausata, F. S. R., Ben-Yami, M., Mecking, J. V. (2025): Tipping point-induced abrupt shifts in East Asian hydroclimate since the Last Glacial Maximum. - Nature Communications, 16, 477.
https://doi.org/10.1038/s41467-025-55888-w

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Lu, Fuzhi1, Autor
Lu, Huayu1, Autor
Gu, Yao1, Autor
Lin, Pengyu1, Autor
Lu, Zhengyao1, Autor
Zhang, Qiong1, Autor
Zhang, Hongyan1, Autor
Yang, Fan1, Autor
Dong, Xiaoyi1, Autor
Yi, Shuangwen1, Autor
Chen, Deliang1, Autor
Pausata, Francesco S. R.1, Autor
Ben-Yami, Maya2, Autor           
Mecking, Jennifer V.1, Autor
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Zusammenfassung: Multiple tipping points in the Earth system could be triggered when global warming exceeds specific thresholds. However, the degree of their impact on the East Asian hydroclimate remains uncertain due to the lack of quantitative rainfall records. Here we present an ensemble reconstruction of East Asian summer monsoon (EASM) rainfall since the Last Glacial Maximum (LGM) using nine statistical and machine learning methods based on multi-proxy records from a maar lake in southern China. Our results define five tipping points in the EASM rainfall since the LGM, which are characterized by abrupt and irreversible regime shifts with a median amplitude of 387 ± 73 mm (24 ± 5 %). Combined with multi-model simulations and existing records, we attribute these tipping points to cascades of abrupt shifts in the Atlantic meridional overturning circulation (AMOC) and Saharan vegetation. Our findings underscore the nonlinear behavior of the EASM and its coupling with other tipping elements.

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Sprache(n): eng - English
 Datum: 2025-01-082025-01-08
 Publikationsstatus: Final veröffentlicht
 Seiten: 21
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 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1038/s41467-025-55888-w
MDB-ID: No MDB - stored outside PIK (see locators/paper)
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Working Group: Artificial Intelligence
Research topic keyword: Tipping Elements
OATYPE: Gold Open Access
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Titel: Nature Communications
Genre der Quelle: Zeitschrift, SCI, Scopus, p3, oa
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Seiten: - Band / Heft: 16 Artikelnummer: 477 Start- / Endseite: - Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals354
Publisher: Nature