Evidence map›Paper›PMID 41971003›Full record

ArticleNPJ climate and atmospheric science2026

Seasonal progression of melt and snowlines in Alaska from SAR reveals impacts of warming.

Albin Wells, David R Rounce, Mark Fahnestock

Abstract read
In one paragraph

Article in NPJ climate and atmospheric science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Albin WellsDepartment of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA USA.
David R RounceDepartment of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA USA.
Mark FahnestockGeophysical Institute, University of Alaska Fairbanks, Fairbanks, AK USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glaciers in Alaska contribute greatly to sea-level rise and are losing mass at a faster rate than any other region. Yet, our understanding of ongoing changes and ability to model them are hindered by a lack of observations, particularly at high spatiotemporal resolution. Here, we leverage Sentinel-1 synthetic aperture radar (SAR) data to produce temporally-varying glacier melt extents and snowlines from mid-2016 to 2024 for 99% of glaciers in Alaska greater than 2 km

Indexed as

Climate sciencesEnvironmental sciencesNatural hazards

Identifiers

PMID41971003
PMCPMC13065479

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.