Evidence map›Paper›PMID 41911455›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Model evidence for distinct origins of glacial-interglacial and millennial signals in Greenland dust.

Peter O Hopcroft, Denis-Didier Rousseau

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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 · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Peter O HopcroftSchool of Geography, Earth, & Environmental Sciences, University of Birmingham, Birmingham B15 2TT, United Kingdom.ORCID 0000-0003-3694-9181
Denis-Didier RousseauInstitute of Physics-Centre for Science and Education, Division of Geochronology and Environmental Isotopes, Silesian University of Technology, Gliwice 44-100, Poland.ORCID 0000-0003-2475-3405

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Greenland ice-core records show that the mineral dust flux during the last glacial maximum was twenty times greater than present and it responded rapidly during North Atlantic abrupt climate events. Both glacial-interglacial and rapid modes of dust variability have been suggested to originate from changes in storminess over Asian deserts. However, geochemical measurements do not rule out sources in Africa and Europe, and rapid changes in the source strength over Asia are yet to be unambiguously identified in North Pacific dust flux records. With a suite of Earth System model simulations of the last glacial period we show that latitudinal rainbelt shifts characteristic of abrupt events may have had an important impact on dust across the Atlantic region. Unlike for the glacial-interglacial difference, these faster, decadal to centennial scale transitions drive significant dust generation and meridional dust transport which enhances dust delivery over Greenland. These results help reconcile several features of the glacial dust cycle and thereby question the paradigm that Asian desert conditions can explain both modes of variability in Greenland dust records. The model points to a greater sensitivity of the poleward dust transport to climate change and provides a basis for investigating the potential role of dust radiative feedbacks during abrupt climate change.

Indexed as

abrupt climate changeearth system modelLast Glacial Maximummineral dustpaleoclimate

Identifiers

PMID41911455
PMCPMC13056116

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.