Evidence map›Paper›PMID 40940340›Full record

ArticleNature communications2025

Meltwater ponding has an underestimated radiative effect on the surface of the Greenland Ice Sheet.

Jonathan C Ryan, Matthew G Cooper, Sarah W Cooley, Åsa K Rennermalm, Laurence C Smith

Abstract read
In one paragraph

Article in Nature communications, 2025. 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

5 authors.

Jonathan C RyanDivision of Earth and Climate Sciences, Nicholas School of the Environment, Duke University, Durham, NC, USA. jonathan.ryan@duke.edu.ORCID http://orcid.org/0000-0002-9432-1512
Matthew G CooperDepartment of Geography, University of Los Angeles, Los Angeles, CA, USA.
Sarah W CooleyDivision of Earth and Climate Sciences, Nicholas School of the Environment, Duke University, Durham, NC, USA.
Åsa K RennermalmDepartment of Geography, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA.ORCID http://orcid.org/0000-0002-2470-7444
Laurence C SmithDepartment of Earth, Environmental, and Planetary Science, Brown University, Providence, RI, USA.ORCID http://orcid.org/0000-0001-6866-5904

Funding

National Aeronautics and Space Administration (NASA) 80NSSC23K1330
6 · The paper itself

Abstract

Ponding of meltwater on the surface of the Greenland Ice Sheet has the potential to reduce ice sheet albedo and amplify mass loss. However, this process remains poorly constrained and is absent from models that project ice sheet mass balance. Here we demonstrate that meltwater ponding considerably increases the amount of energy available for melting the Greenland Ice Sheet. We first use satellite-derived products to show that meltwater ponding has a significant impact on spatial albedo patterns, particularly in the lower percolation zone. We then use drone imagery to demonstrate that, in the upper ablation zone, there are thousands of narrow streams and small pools (<100 m²) that collectively account for >50% of the total meltwater area. These small meltwater features are not resolved by surface water maps derived from medium-resolution satellite imagery, signifying that the radiative effect of meltwater ponding is three to four times stronger than predicted by satellite-based approaches. Our findings therefore place lower bounds on the radiative effect of meltwater ponding that could be used to advocate for the inclusion of this process into models that forecast Greenland Ice Sheet's contribution to sea-level rise.

Identifiers

PMID40940340
PMCPMC12432252

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.