Evidence map›Paper›PMID 41691005›Full record

ArticleScientific data2026

Water Masses of the Arctic from 40 Years of Hydrographic Observations.

Kate Oglethorpe, Joshua Lanham, Rafael S Reiss, Emma J D Boland, Alberto C Naveira Garabato, Colm-Cille P Caulfield, Ali Mashayek

Abstract read
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Kate OglethorpeUniversity of Cambridge, Cambridge, UK. ko389@cam.ac.uk.
Joshua LanhamUniversity of Cambridge, Cambridge, UK.
Rafael S ReissUniversity of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-5000-6799
Emma J D BolandBritish Antarctic Survey, Cambridge, UK.
Alberto C Naveira GarabatoUniversity of Southampton, Southampton, UK.
Colm-Cille P CaulfieldUniversity of Cambridge, Cambridge, UK.
Ali MashayekUniversity of Cambridge, Cambridge, UK.

Funding

RCUK | Natural Environment Research Council (NERC) NE/S007164/1Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 217960
6 · The paper itself

Abstract

The Arctic Ocean has been changing rapidly in a warming climate. To monitor these changes, it is useful to classify the Arctic Ocean into water masses-bodies of water with similar origin and physical and biogeochemical properties. However, there are significant barriers to Arctic water mass classification: observations of seawater properties are sparse, and traditional classification relies on extensive knowledge of water mass characteristics and circulation. To address these challenges, we compile existing hydrographic observations of the upper 1000 m of the Arctic Ocean and classify these observations into water masses. We present the classification tool and accompanying dataset, Water Masses of the Arctic (WMA), to support basin-wide investigations of Arctic Ocean circulation, its variability, drivers and impacts on wider Arctic climate. Our dataset reproduces key spatial and temporal features of Arctic water masses, including Atlantic and Pacific Water pathways. The WMA dataset will improve understanding of Arctic Ocean dynamics and provide an accessible framework for assessing the accuracy of the representation of the Arctic Ocean in Earth System Models.

Identifiers

PMID41691005
PMCPMC13018476

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.