Evidence map›Paper›PMID 42161988›Full record

ArticleNature communications2026

Revealing the Antarctic marginal ice zone with a decade-long wave-in-ice climatology.

Alexander D Fraser, Noah Day, Zhaohui Wang, Luke G Bennetts, Qingxiang Liu, Siobhan O'Farrell, Richard Coleman, Joey Voermans, Shiming Xu, Weixin Zhu and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 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

18 authors.

Alexander D FraserInstitute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, Australia. adfraser@utas.edu.au.ORCID http://orcid.org/0000-0003-1924-0015
Noah DaySchool of Mathematics and Statistics, The University of Melbourne, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0003-4176-7956
Zhaohui WangAustralian Antarctic Program Partnership, Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, Australia.
Luke G BennettsSchool of Mathematics and Statistics, The University of Melbourne, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0001-9386-7882
Qingxiang LiuState Key Laboratory of Physical Oceanography, Ocean University of China, Qingdao, China.ORCID http://orcid.org/0000-0001-6100-0221
Siobhan O'FarrellCSIRO Environment, Commonwealth Scientific and Industrial Research Organisation, Aspendale, VIC, Australia.
Richard ColemanInstitute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, Australia.ORCID http://orcid.org/0000-0002-9731-7498
Joey VoermansDepartment of Infrastructure Engineering, The University of Melbourne, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0002-2963-3763
Shiming XuDepartment of Earth System Science, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0003-4999-3499
Weixin ZhuDepartment of Earth System Science, Tsinghua University, Beijing, China.
Matthis AugerInstitute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, Australia.ORCID http://orcid.org/0000-0001-6228-5732
Robert A MassomAustralian Antarctic Program Partnership, Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, Australia.ORCID http://orcid.org/0000-0003-1533-5084
Pat WongpanInstitute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, Australia.ORCID http://orcid.org/0000-0002-7113-8221
Lisa CrawAustralian Antarctic Program Partnership, Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, Australia.ORCID http://orcid.org/0000-0002-6809-3587
Jill BrouwerCSIRO Environment, Commonwealth Scientific and Industrial Research Organisation, Aspendale, VIC, Australia.
Takenobu ToyotaInstitute of Low Temperature Science, Hokkaido University, Sapporo, Japan.ORCID http://orcid.org/0000-0003-1264-1844
Petra HeilAustralian Antarctic Program Partnership, Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, Australia.ORCID http://orcid.org/0000-0003-2078-0342
Christopher HorvatDepartment of Earth, Environmental, and Planetary Sciences, Brown University, Providence, RI, USA.ORCID http://orcid.org/0000-0001-6512-0335

Funding

Department of Education and Training | Australian Research Council (ARC) FT190100404, DP240100325Department of Education and Training | Australian Research Council (ARC) FT230100234, 420 LP170101090, LE220100103 and DP240100325MEXT | Japan Society for the Promotion of Science (JSPS) BR231802National Computational Infrastructure (NCI) jk72, gv90National Natural Science Foundation of China (National Science Foundation of China) 42030602National Natural Science Foundation of China (National Science Foundation of China) 42106012Natural Science Foundation of Shandong Province (Shandong Provincial Natural Science Foundation) 2023HWYQ-056Norges Forskningsråd (Research Council of Norway) 328957Taishan Scholar Foundation of Shandong Province tsqnz20221111
6 · The paper itself

Abstract

The marginal ice zone (MIZ) is the region of sea ice that is strongly influenced by open-ocean processes, particularly ocean waves. The width of the Antarctic MIZ is often quantified by applying thresholds to satellite-derived maps of sea-ice concentration, although this definition lacks any connection to waves. Laser altimetry provides snapshots of wave penetration, but is restricted by cloud cover. To overcome these limitations, we refine radar altimetry techniques to estimate the Antarctic MIZ width from Ka-band radar altimeter data (2013-2024), producing a decade-long climatology of the wave-affected MIZ. Our analysis reveals the regionality and seasonality of the MIZ width, highlighting the under-appreciated dependence of wave penetration on ice-edge aspect (the alignment of the ice edge, relative to north). The wave-affected MIZ covers around 16% of the sea-ice zone. This technique offers a tool for measuring MIZ width and could be applied to earlier satellite datasets, enabling creation of a multi-decade climatology of this important zone and assessment of long-term changes in wave-ice interactions in the Southern Ocean.

Identifiers

PMID42161988
PMCPMC13381689

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.