Evidence map›Paper›PMID 41748792›Full record

ArticleScientific reports2026

Toward a mechanistic characterisation of marine heatwaves.

Zijie Zhao, Neil J Holbrook, Antonietta Capotondi, Sophie Cravatte, Jules B Kajtar, Alex Sen Gupta, Erik Behrens, Martina A Doblin, Ming Feng, Andrew E Kiss and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 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

11 authors.

Zijie Zhao *Department of Earth System Science, University of California Irvine, Irvine, CA, USA.ORCID http://orcid.org/0000-0003-3403-878X
Neil J Holbrook *Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, Australia. neil.holbrook@utas.edu.au.ORCID http://orcid.org/0000-0002-3523-6254
Antonietta CapotondiCooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, USA.ORCID http://orcid.org/0000-0002-3594-5472
Sophie CravatteLEGOS, Université de Toulouse, IRD, CNES, CNRS, UPS, Toulouse, France.ORCID http://orcid.org/0000-0002-2439-8952
Jules B KajtarNational Oceanography Centre, Southampton, UK.ORCID http://orcid.org/0000-0003-0114-6610
Alex Sen GuptaClimate Change Research Centre & Centre for Marine Science and Innovation, The University of New South Wales, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0001-5226-871X
Erik BehrensEarth Sciences New Zealand, Wellington, New Zealand.ORCID http://orcid.org/0000-0002-9713-7227
Martina A DoblinUniversity of Technology Sydney, Ultimo, NSW, Australia.ORCID http://orcid.org/0000-0001-8750-3433
Ming FengCSIRO Environment, Indian Ocean Marine Research Centre, Crawley, WA, Australia.ORCID http://orcid.org/0000-0002-2855-7092
Andrew E KissResearch School of Earth Sciences and ARC Centre of Excellence for Climate Extremes, Australian National University, Canberra, ACT, Australia.ORCID http://orcid.org/0000-0001-8960-9557
Claire M SpillmanBureau of Meteorology, Docklands, VIC, 3008, Australia.ORCID http://orcid.org/0000-0003-0853-8190

Funding

ARC Centre of Excellence for Climate Extremes CE170100023ARC Future Fellowship FT220100475Australian Research Council LP200100406The MaHeWa project ANR-23-POCE-0001
6 · The paper itself

Abstract

A mechanistic understanding of marine heatwaves (MHWs) requires robust frameworks for detection, tracking, and attribution. Conventional pointwise definitions, which identify MHWs pixel by pixel relative to fixed thresholds, have enabled global analyses but neglect the event-scale spatiotemporal evolution and underlying drivers. Recent kinematic approaches overcome the evolution issue by treating MHWs as evolving spatiotemporal objects. Here, we build on this framework by also considering the drivers. We examine the MHW dynamics by quantifying the scale and driver dependence of MHW objects, identifying dominant forcing mechanisms throughout their lifetimes, and characterising key features linked to distinct drivers. We further introduce a normalisation framework that preserves the event scale, while enabling composite analyses across multiple MHWs. Applying this approach to the Tasman Sea, a region of complex atmosphere-ocean interactions, we reveal distinct atmospheric and oceanic conditions that shape the MHW evolution at different stages. By explicitly linking evolving MHW entities to their physical drivers, our method advances the mechanistic characterisation of MHWs, enhances understanding of their spatiotemporal dynamics, and informs prospects for improved prediction.

Identifiers

PMID41748792
PMCPMC13044280

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.