Evidence map›Paper›PMID 40330045›Full record

ArticleNational science review2025

Weakened snow and ice melting by enhanced cloud short-wave cooling effect in the Arctic.

Annan Chen, Chuanfeng Zhao, Haotian Zhang, Yikun Yang, Jing Li, Yan Yu, Qinghong Zhang, Jiefeng Li

Abstract read
In one paragraph

Article in National science review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Clouds buffer arctic warming.National science review · 2025
    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

8 authors.

Annan ChenDepartment of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China.
Chuanfeng ZhaoDepartment of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China.
Haotian ZhangDepartment of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China.
Yikun YangDepartment of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China.
Jing LiDepartment of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China.
Yan YuDepartment of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China.
Qinghong ZhangDepartment of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China.
Jiefeng LiDepartment of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clouds and surface albedo significantly affect the energy balance on Earth. With the snow/ice melting in the Arctic, an understanding of how this impacts short-wave cloud radiative effects (CRE) remains a critical, yet poorly understood, question. We analysed snow/ice coverage (SIC) changes and their impact on the CRE in the Arctic from the past to the present and to future scenarios. From 2000 to 2020, the SIC decreased by -0.058/decade, leading to CRE changes (∆CRE) at the top of the atmosphere and surface by -1.25 ± 0.49 and -0.21 ± 0.20 W/m²/decade, with an average reduction in the sea ice melting rate ([Formula: see text]) of 3.45 cm/year. The sea ice coverage and the CRE remained relatively stable from 1850 to 1915, followed by dramatic declines in both sea ice coverage and CRE under both 245 and 585 shared socio-economic pathways post-2015. The snow/ice loss amplifies the cloud-induced short-wave cooling effect, partly slowing further melting yet not preventing overall snow/ice loss.

Indexed as

cloud radiative effectsnow/ice coveragesurface albedo

Identifiers

PMID40330045
PMCPMC12051870

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.