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Record W1970921716 · doi:10.1029/2003jc002223

Distribution of convective Lower Halocline Water in the eastern Arctic Ocean

2004· article· en· W1970921716 on OpenAlexaboutno aff
Takashi Kikuchi, Kiyoshi Hatakeyama, J. Morison

Bibliographic record

VenueJournal of Geophysical Research Atmospheres · 2004
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsHaloclineGeologyRidgeArcticWater massOceanographyThermohaline circulationAdvectionClimatologyCanada BasinStructural basinSalinityGeomorphology

Abstract

fetched live from OpenAlex

We investigate the distribution of convectively formed Lower Halocline Water (cLHW) in the eastern Arctic Ocean using observational and climatological data. The cLHW can be defined as the water mass in the cold halocline layer formed by winter convection. The presence of cLHW is indicated by temperatures close to the freezing point and a sharp bend in the Θ‐S curve near the salinity of cLHW. Results from ice‐drifting buoy observations in 2002 show differences in water mass characteristics in the upper ocean among the Amundsen Basin, over the Arctic Mid‐Ocean Ridge, and in the Nansen Basin. In 2000–2002, cLHW was present over the Arctic Mid‐Ocean Ridge and the Nansen Basin, but was largely absent from the Amundsen Basin. Using climatological data, we find that cLHW was confined to the Nansen Basin prior to 1990. In the early 1990s, cLHW still covered only the Nansen Basin, but extended to the northern side of the Arctic Mid‐Ocean Ridge in the mid‐1990s and covered the whole of the Amundsen Basin by the late 1990s. In the early 2000s, the area of cLHW moved back to its present boundary on the northern side of the Arctic Mid‐Ocean Ridge. These results correspond roughly to other changes in the Arctic Ocean circulation and water mass structure, but with a time delay. We hypothesize that general circulation changes and the cutoff of source water for advective‐convective modification of the LHW are causes of the change in cLHW distribution. The lag in changes to cLHW distribution behind other changes in the atmosphere and upper ocean are likely related to differences in circulation change with depth and the transit time from cLHW formation.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.059

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)0.0000.000

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 head0.020
GPT teacher head0.277
Teacher spread0.257 · 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 designObservational
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

Citations44
Published2004
Admission routes1
Has abstractyes

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