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Record W4412458085 · doi:10.3390/w17142095

Surface Water Mass Transformation in North Atlantic Based on NCEP CSFR Reanalysis

2025· article· en· W4412458085 on OpenAlexaboutno aff
Vladimir Kukushkin, Sergey Gulev

Bibliographic record

VenueWater · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate variability and models
Canadian institutionsnot available
FundersMinistry of Science and Higher Education of the Russian FederationRussian Science Foundation
KeywordsClimatologyWater massGeologyEnvironmental scienceTransformation (genetics)OceanographyChemistry

Abstract

fetched live from OpenAlex

This paper focuses on the analysis of variability of density fluxes and water mass transformation in the North Atlantic, the quantities reflecting the intensity of intermediate and deep water formation. The authors assess the influence of atmospheric processes on the intensity of formation of subpolar modal waters, subtropical modal waters and Labrador Sea waters using the density fluxes and water mass transformation. This analysis is carried out on a seasonal and climatic time scale. The main result of the study is the seasonal and climatic dynamics of water mass transformation in the Labrador Sea, subtropical and subpolar modal waters based on CFSR reanalysis data. The results obtained help to understand the main factors influencing vertical circulation in the region, which can be used in further model experiments.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.264
Threshold uncertainty score0.524

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.212
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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