Evidence map›Paper›PMID 38830858›Full record

ArticleNature communications2024

Climate extremes in Svalbard over the last two millennia are linked to atmospheric blocking.

Francois Lapointe, Ambarish V Karmalkar, Raymond S Bradley, Michael J Retelle, Feng Wang

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

5 authors.

Francois LapointeDepartment of Earth, Geographic and Climate Sciences, University of Massachusetts, Amherst, MA, USA. flapointe@umass.edu.ORCID http://orcid.org/0000-0002-0546-7780
Ambarish V KarmalkarDepartment of Geosciences, University of Rhode Island, Kingston, RI, USA.ORCID http://orcid.org/0000-0002-2940-0417
Raymond S BradleyDepartment of Earth, Geographic and Climate Sciences, University of Massachusetts, Amherst, MA, USA.ORCID http://orcid.org/0000-0002-4032-9519
Michael J RetelleEarth and Climate Sciences, Bates College, Lewiston, ME, USA.ORCID http://orcid.org/0000-0002-5341-0711
Feng WangInstitut National de la recherche scientifique, University of Québec, Québec, QC, Canada.ORCID http://orcid.org/0000-0002-9562-4849

Funding

National Science Foundation (NSF) 1744433National Science Foundation (NSF) 1744515National Science Foundation (NSF) NSF# 1744515
6 · The paper itself

Abstract

Arctic precipitation in the form of rain is forecast to become more prevalent in a warmer world but with seasonal and interannual changes modulated by natural modes of variability. Experiencing rapid hydroclimatic changes in the Arctic, Svalbard serves as an ideal study location due to its exposure to oceanic and atmospheric variability in the North Atlantic region. Here we use climate data from paleoproxies, observations, and a climate model to demonstrate that wet and warm extremes in Svalbard over the last two millennia are linked to the presence of atmospheric blocking regimes over Scandinavia and the Ural mountain region. Rainfall episodes lead to the deposition of coarse sediment particles and high levels of calcium in Linnévatnet, a lake in southwest Svalbard, with the coarsest sediments consistently deposited during atmospheric blocking events. A unique annually resolved sediment record from Linnévatnet confirms that this linkage has been persistent over the past 2000 years. Our record also shows that a millennial-scale decline in Svalbard precipitation ended around the middle of the 19th century, followed by several unprecedented extreme events in recent years. As warming continues and sea ice recedes, future Svalbard floods will become more intense during episodes of Scandinavian and Ural blocking.

Identifiers

PMID38830858
PMCPMC11148056

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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.