Evidence map›Paper›PMID 42680738›Full record

ArticleNature communications2026

The recent enhancement of the surface melt over the Antarctic Peninsula dictated by thermodynamics.

Qinglin Zhang, Baojuan Huai, Sai Wang, Brice Noël, Michiel R van den Broeke, Xavier Fettweis, Christoph Kittel, Dahe Qin, Minghu Ding

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 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. 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

9 authors.

Qinglin ZhangState Key Laboratory of Disaster Weather Science and Technology, Chinese Academy of Meteorological Sciences, Beijing, China.
Baojuan HuaiCollege of Geography and Environment, Shandong Normal University, Jinan, China.
Sai WangState Key Laboratory of Disaster Weather Science and Technology, Chinese Academy of Meteorological Sciences, Beijing, China.ORCID http://orcid.org/0000-0002-4648-0439
Brice NoëlLaboratory of Climatology, Department of Geography, SPHERES research unit, University of Liège, Liège, Belgium.ORCID http://orcid.org/0000-0002-7159-5369
Michiel R van den BroekeInstitute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, Netherlands.ORCID http://orcid.org/0000-0003-4662-7565
Xavier FettweisLaboratory of Climatology, Department of Geography, SPHERES research unit, University of Liège, Liège, Belgium.ORCID http://orcid.org/0000-0002-4140-3813
Christoph KittelLaboratory of Climatology, Department of Geography, SPHERES research unit, University of Liège, Liège, Belgium.ORCID http://orcid.org/0000-0001-6586-9784
Dahe QinState Key Laboratory of Disaster Weather Science and Technology, Chinese Academy of Meteorological Sciences, Beijing, China.
Minghu DingState Key Laboratory of Disaster Weather Science and Technology, Chinese Academy of Meteorological Sciences, Beijing, China. dingminghu@foxmail.com.ORCID http://orcid.org/0000-0002-1142-6598

Funding

National Natural Science Foundation of China (National Science Foundation of China) 42525607
6 · The paper itself

Abstract

Intense surface melt and subsequent meltwater ponding are the key triggers for the disintegration of ice shelves in the Antarctic Peninsula (AP). Although a long-term decline in AP surface melt has been evident since the early 1990s, episodes of intense surface melt events have frequently been reported in recent years. Here, using 1979-2023 daily surface melt rates from regional climate models, we show that this declining trend has reversed, with November-February surface melt increasing significantly by 3% year

Identifiers

PMID42680738
PMCPMC13534733

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.