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Record W6917544560 · doi:10.57757/iugg23-1291

Eddy Interannual variability inhibited the Meridionally Asymmetric Halocline in the Beaufort Gyre

2023· article· en· W6917544560 on OpenAlexaboutno aff

Bibliographic record

VenuePublication Database GFZ (GFZ German Research Centre for Geosciences) · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsHaloclineOcean gyreMesoscale meteorologyArcticEkman transportEddyCanada BasinStratification (seeds)Extratropical cyclone

Abstract

fetched live from OpenAlex

<!--!introduction!--> Under the background of wind forcing changes associated with the Arctic sea ice retreat, the mesoscale processes undergoing distinct variabilities in Beaufort Gyre (BG) region, which are influenced by the complicated processes responding to the atmosphere-sea ice-ocean interaction as new Arctic state. BG eddy field is experiencing the increasing oceanic transport and energic cascade in recent decade. In this paper, the varying eddies and eddy kinetic energy (EKE) in the Canada Basin and Chukchi-Beaufort continental slope are examined based on the mooring observations, altimetry measurements and reanalysis oceanic analysis data.The lower halocline has deepened by ~40 m in the southern BG basin, while the larger deepening, ~70m, occurred in the northern basin after 2014. Meridionally asymmetric of the halocline vertical structure and the available potential energy (APE) trend are accompanied with the related eddy interannual variabilities. EKE has been continuously increasing toward the central basin at the mean time the halocline depth and strength reached a relatively symmetric and stable regime. It is clearly clarified that the interannual dynamical eddy modulation by eddy flux facilitating the freshwater transport and redistribution inhibited the meridional asymmetry of the BG halocline. Halocline variabilities represent the stratification adjustments in the upper ocean under the circumstance of the changing mesoscale processes.

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 score0.274
Threshold uncertainty score0.546

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.038
GPT teacher head0.326
Teacher spread0.288 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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