Evidence map›Paper›PMID 42310116›Full record

ReviewNature2026

Emergent decadal predictability in Antarctic contribution to sea-level rise.

Felicity S McCormack, Mathieu Morlighem, Frank Pattyn, Alexander A Robel, Hélène Seroussi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature, 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

5 authors.

Felicity S McCormackSecuring Antarctica's Environmental Future, School of Earth, Atmosphere and Environment, Monash University, Clayton, Kulin Nations, Victoria, Australia. felicity.mccormack@monash.edu.ORCID http://orcid.org/0000-0002-2324-2120
Mathieu MorlighemDepartment of Earth and Planetary Sciences, Dartmouth College, Hanover, NH, USA.ORCID http://orcid.org/0000-0001-5219-1310
Frank PattynLaboratoire de Glaciologie, Université libre de Bruxelles, Brussels, Belgium.ORCID http://orcid.org/0000-0003-4805-5636
Alexander A RobelSchool of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA.ORCID http://orcid.org/0000-0003-4520-0105
Hélène SeroussiThayer School of Engineering, Dartmouth College, Hanover, NH, USA.ORCID http://orcid.org/0000-0001-9201-1644

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite large uncertainties associated with future mass loss from the Antarctic Ice Sheet, ice-sheet models show that the rate of sea-level rise from Antarctic ice loss in 2025 is strongly predictive of the rate for the next several decades, regardless of emission pathway or model complexity. This finding is robust across all models that were considered in the Intergovernmental Panel on Climate Change Sixth Assessment Report global mean sea-level projections, including the low-likelihood, high-impact scenarios of sea-level rise. Given this strong near-term decadal predictability, ice-sheet models that can accurately reproduce present-day ice-mass loss provide a reliable basis for near-term sea-level planning and adaptation through to mid-century. The predictability breaks down by the end of the twenty-first century as feedbacks, such as those related to marine ice-sheet retreat, begin to emerge, leading to accelerating ice loss. Drawing on these results, we identify key feedback mechanisms that can account for the transition between near-term decadal predictability and the longer-term, feedback-driven evolution, and suggest priorities for ice-sheet model development aimed at resolving long-term sea-level rise uncertainty.

Identifiers

What OpenQuestion holds

Textmetadata
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.