Evidence map›Paper›PMID 41651862›Full record

ArticleNature communications2026

The contribution of sea-ice recrystallization to the Arctic snowpack.

Amy R Macfarlane, Moein Mellat, Ruzica Dadic, Hanno Meyer, Martin Werner, Camilla F Brunello, Mahdi Jafari, Nander Wever, Stefanie Arndt, Daniela Krampe and 2 more

Abstract read
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

12 authors.

Amy R MacfarlaneWSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland. amyrmacfarlane@gmail.com.ORCID http://orcid.org/0000-0002-1638-8885
Moein MellatAlfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam, Germany.
Ruzica DadicWSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland.
Hanno MeyerAlfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam, Germany.ORCID http://orcid.org/0000-0003-4129-4706
Martin WernerAlfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany.ORCID http://orcid.org/0000-0002-6473-0243
Camilla F BrunelloAlfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany.
Mahdi JafariWSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland.
Nander WeverWSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland.ORCID http://orcid.org/0000-0002-4829-8585
Stefanie ArndtAlfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany.ORCID http://orcid.org/0000-0001-9782-3844
Daniela KrampeAlfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany.ORCID http://orcid.org/0000-0003-0633-5023
Matthew SturmGeophysical Institute, University of Alaska Fairbanks, Fairbanks, AK, USA.ORCID http://orcid.org/0000-0001-8882-1329
Martin SchneebeliWSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland.ORCID http://orcid.org/0000-0003-2872-4409

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) P500PN_217845
6 · The paper itself

Abstract

Understanding snow processes in the sea-ice system is essential to improving Arctic sea-ice predictions and climate modeling. We show that the winter snow cover on Arctic sea ice is strongly enriched in heavy isotopes near the snow-sea ice interface, unexplainable by snow metamorphism alone. During the MOSAiC expedition, stratigraphic investigations revealed that large temperature gradients drive water vapor transport and mass transfer from sea ice into the snowpack. We estimate the contributed snow depth equivalent as 39 ± 7 mm (cumulative mass redistribution) and 63 ± 21 mm (isotope two-source model). Despite uncertainties, both highlight the need for detailed snowpack vapor flux modeling. Recognizing this recrystallization process improves understanding of snow stratigraphy, gas exchange, atmospheric chemistry through snow impurity distributions (e.g., sea salt aerosol), and reduces uncertainties in snow mass balance and heat conductivity. With continued Arctic change, evolving snowpack temperature gradients and recrystallized sea-ice snow contributions will further shape these processes.

Identifiers

PMID41651862
PMCPMC12987933

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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.