Evidence map›Paper›PMID 42827445›Full record

ArticleNPJ climate and atmospheric science2026

Stochastic resilience of Arctic sea ice: a framework bridging theory and observation.

Chuixiang Yi, Lu Zhou, Deliang Chen

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.

Chuixiang YiSchool of Earth and Environmental Sciences, Queens College, City University of New York, New York, NY USA.
Lu ZhouInstitute for Marine and Atmospheric Research, Utrecht University, Utrecht, Netherlands.
Deliang ChenDepartment of Earth System Science, Tsinghua University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arctic sea ice has declined rapidly in extent, thickness, and albedo, yet a quantitative observational measure of its resilience remains elusive. Here, we introduce a resilience potential framework that links a reduced Arctic surface energy balance to an effective potential whose curvature and barrier structure provide physically interpretable stability diagnostics. Using four decades of sea ice extent, thickness, and albedo, we compare contextual diagnostics of recovery and variability with empirical potential analogs inferred from October sea ice volume-derived energy states. The empirical reconstruction reveals a shift of the occupied ice-covered state toward reduced latent energy storage, while bootstrap tests show that the recent-period barrier is not robustly identifiable and is more consistently represented as a single empirical well under the adopted preprocessing assumptions. Our results, therefore, show how a physically based potential framework can be used to interpret aggregate sea ice variability and to test alternative hypotheses about changing resilience. This framework provides a general, observation-based pathway for quantifying resilience in Arctic sea ice and, more broadly, other Earth system components.

Indexed as

Climate sciencesOcean sciences

Identifiers

PMID42827445
PMCPMC13630570

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.