Atmospheric-river-induced foehn events drain glaciers on Novaya Zemlya.

J Haacker, B Wouters, X Fettweis, I A Glissenaar, J E Box

Abstract read

In one paragraph

Article in Nature communications, 2024. 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.

J HaackerDepartment of Geoscience and Remote Sensing, University of Technology Delft, Delft, the Netherlands. j.m.haacker@tudelft.nl.ORCID http://orcid.org/0000-0002-5464-2442

B WoutersDepartment of Geoscience and Remote Sensing, University of Technology Delft, Delft, the Netherlands. bert.wouters@tudelft.nl.ORCID http://orcid.org/0000-0002-1086-2435

X FettweisDepartement of Geography, SPHERES Research Unit, University of Liège, Liège, Belgium.ORCID http://orcid.org/0000-0002-4140-3813

I A GlissenaarInstitute for Marine and Atmospheric Research, Utrecht University, Utrecht, the Netherlands.

J E BoxDepartment of Glaciology and Climate, Geological Survey of Denmark and Greenland, Copenhagen, Denmark.ORCID http://orcid.org/0000-0003-0052-8705

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research) 016.Vidi.171.063

6 · The paper itself

Abstract

Recently, climate extremes have been grabbing attention as important drivers of environmental change. Here, we assemble an observational inventory of energy and mass fluxes to quantify the ice loss from glaciers on the Russian High Arctic archipelago of Novaya Zemlya. Satellite altimetry reveals that 70 ± 19% of the 149 ± 29 Gt mass loss between 2011 and 2022 occurred in just four high-melt years. We find that 71 ± 3% of the melt, including the top melt cases, are driven by extreme energy imports from atmospheric rivers. The majority of ice loss occurs on leeward slopes due to foehn winds. 45 of the 54 high-melt days (>1 Gt d

Identifiers

PMID39147761

DOI10.1038/s41467-024-51404-8

PMCPMC11327257

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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.