ArticleNature communications2021
The anatomy of past abrupt warmings recorded in Greenland ice.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Model evidence for distinct origins of glacial-interglacial and millennial signals in Greenland dust.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- The Greenland spatial fingerprint of Dansgaard-Oeschger events in observations and models.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Last glacial hydroclimate variability in the Yucatán Peninsula not just driven by ITCZ shifts.Scientific reports · 2023Article
- Article
- Sea ice fluctuations in the Baffin Bay and the Labrador Sea during glacial abrupt climate changes.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Coupled atmosphere-ice-ocean dynamics during Heinrich Stadial 2.Nature communications · 2022Article
- Greenland Ice Core Record of Last Glacial Dust Sources and Atmospheric Circulation.Journal of geophysical research. Atmospheres : JGR · 2022Article
- Pronghorn (Ecology and evolution · 2021Article
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Authors and funding
14 authors.
Funding
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Abstract
Data availability and temporal resolution make it challenging to unravel the anatomy (duration and temporal phasing) of the Last Glacial abrupt climate changes. Here, we address these limitations by investigating the anatomy of abrupt changes using sub-decadal-scale records from Greenland ice cores. We highlight the absence of a systematic pattern in the anatomy of abrupt changes as recorded in different ice parameters. This diversity in the sequence of changes seen in ice-core data is also observed in climate parameters derived from numerical simulations which exhibit self-sustained abrupt variability arising from internal atmosphere-ice-ocean interactions. Our analysis of two ice cores shows that the diversity of abrupt warming transitions represents variability inherent to the climate system and not archive-specific noise. Our results hint that during these abrupt events, it may not be possible to infer statistically-robust leads and lags between the different components of the climate system because of their tight coupling.
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