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Record W1987032994 · doi:10.1029/2011eo420009

How ocean ridges affect large‐scale ocean circulation

2011· article· en· W1987032994 on OpenAlexaboutno aff
Colin Schultz

Bibliographic record

VenueEos · 2011
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOceanographic and Atmospheric Processes
Canadian institutionsnot available
Fundersnot available
KeywordsThermoclineNorth Atlantic Deep WaterThermohaline circulationOceanographyRidgeGeologyStratification (seeds)Deep ocean waterPhysical oceanographyOcean currentOcean heat contentOcean surface topographyOcean dynamicsAntarctic Bottom WaterGulf StreamClimatologyShutdown of thermohaline circulationBottom waterSea surface temperaturePaleontology

Abstract

fetched live from OpenAlex

Driving the flow of heat and nutrients around the ocean is the meridional overturning circulation, a large‐scale current system that in the Atlantic Ocean carries warm surface waters northward and cold, dense water to the south along the bottom of the ocean. An important leg of this journey is the conversion of light warm water into North Atlantic Deep Water (NADW), which occurs along the coasts of Greenland and Labrador, Canada. The temperature and density profile of the ocean is important for climate and ecological systems, so understanding any physical features that may impinge on the properties of NADW, such as ocean ridges, is particularly important. Using experiments in a laboratory water tank, Stewart et al. identified how a ridge could affect the circulation patterns in a model ocean. The authors imposed temperature and heat flux gradients on the surface of the ocean analogue and tracked how differences in ridge size, shape, and location affected the temperature and density stratification. They found that when the ridge is sufficiently shallow, such that the depth of the water between the top of the ridge and the surface of the ocean is less than twice as deep as the ocean thermocline—a near‐surface band of the ocean in which water temperature decreases rapidly with depth—the ridge can significantly affect downstream properties. The authors found that when the deep water is forced up and over a shallow ridge, it tends to mix with the warmer water of the thermocline, increasing the average temperature and density stratification of water downstream from the ridge. ( Journal of Geophysical Research‐Oceans , doi:10.1029/2011JC006980, 2011

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.012
Threshold uncertainty score0.940

Codex and Gemma teacher scores by category

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 communication0.0000.000
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 head0.016
GPT teacher head0.187
Teacher spread0.171 · 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 teacher head, 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
Published2011
Admission routes1
Has abstractyes

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