Evidence map›Paper›PMID 40382422›Full record

ArticleScientific reports2025

Novel insight into the spatiotemporal distribution of Greenland ice sheet surface densities from eleven years of satellite radar altimetry.

Kirk M Scanlan, Anja Rutishauser, Nicolaj Hansen, Sebastian B Simonsen

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Kirk M ScanlanDTU Space, Technical University of Denmark, Kgs. Lyngby, 2800, Denmark. kimis@dtu.dk.
Anja RutishauserDepartment of Glaciology and Climate, Geological Survey of Denmark and Greenland, Copenhagen, 1350, Denmark.
Nicolaj HansenDTU Space, Technical University of Denmark, Kgs. Lyngby, 2800, Denmark.
Sebastian B SimonsenDTU Space, Technical University of Denmark, Kgs. Lyngby, 2800, Denmark.

Funding

European Space Agency, Living Planet Fellowship 4000140824/23/I-DT-lrHorizon 2020 869304Novo Nordisk Fonden NNF23OC0081251Villum Fonden 50225
6 · The paper itself

Abstract

Greenland Ice Sheet near-surface density is a key parameter as it facilitates converting changes in volume from repeat satellite altimetry to changes in mass. However, the need to continually quantify density through both space and time means it is conventionally derived using numerical models. Recently, new focus is being placed on directly deriving ice sheet surface properties from satellite observations. Here we show how 11 years of surface densities derived from ESA CryoSat-2 and CNES/ISRO SARAL radar altimetry compare against in situ and regional climate model results. We find that a consistent interpretation of the satellite near-surface densities is strongly modulated by the presence of melt. For periods when the ice sheet surface can be considered frozen, satellite-based densities best represent in situ conditions at different intervals in the top 1.25 m. At the same time, while long-term pan-Greenland observation- and model-based mean densities are similar, the observations reveal spatial patterns absent in the models and consistently greater densities in the ice sheet interior. In months with strong melting, the satellite results return anomalously low surface densities, though accounting for associated changes in radar backscattering phenomena and stratigraphic interpretation are limited by the lack of contemporaneous in situ data. Overall, we establish a quantitative approach for interpreting novel densities derived exclusively from satellite observations and present a comparison to state-of-the-art model results.

Identifiers

PMID40382422
PMCPMC12085595

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