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Record W155942231 · doi:10.23860/diss-1821

Lagrangian studies of oxygen variability in the North Atlantic Ocean

2002· dissertation· en· W155942231 on OpenAlexaboutno aff
Peter Lazarevich

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal ecosystems
Canadian institutionsnot available
Fundersnot available
KeywordsLagrangianOceanographyClimatologyGeographyEnvironmental scienceGeologyMathematicsApplied mathematics

Abstract

fetched live from OpenAlex

During 1997-2000, our research group participated in a major field study to determine the absolute circulation of the Subpolar North Atlantic. We successfully tracked 50 isopycnal RAFOS floats which measured pressure, temperature, and dissolved oxygen. The floats were ballasted for the 27.5 σ &thetas; density surface, which is found in the lower subtropical thermocline waters of the North Atlantic. A comparison of our field results to historical hydrography for the region shows that the oxygen sensors provided an accuracy of about 5% over periods exceeding one year. One of our goals was to understand the conspicuous difference between the hydrographically measured temperature and oxygen fields in the Subpolar North Atlantic. To accomplish this goal, we have developed a horizontal, constant-density, advection-diffusion model that is based upon (1) RAFOS float observations of the absolute circulation and (2) climatological fields of temperature, salinity, and oxygen. A key feature of the model is the time-dependent ventilation in the Irminger Basin and Labrador Sea. We represent ventilation by imposing water-transformation rates typical for the region. The model adequately predicts the observed temperature, salinity, and oxygen fields when ventilated waters become saltier at a rate of 0.2 psu/yr, warmed by a corresponding amount to preserve constant density, and instantly saturated in oxygen. Another goal was to use RAFOS floats to study in situ biological processes simultaneous with the physical context in which they occur. To accomplish this goal, we have developed a vertical, one-dimensional model that is based upon (1) RAFOS float observations of the near-surface waters of the northern North Atlantic and (2) satellite-derived observations of meteorological and biological fluxes of heat, salt, momentum, and oxygen. We find that the model accurately reproduces the physical context: the model predicts the float observations of temperature to within 1°C for an entire year. The model also reproduces the observed oxygen variability: (1) a ∼3% oxygen supersaturation in the wintertime mixed layer, driven by an air-sea gas flux, and (2) a drop from 105% saturation to 92% saturation over a four month period as the float subducted below the mixed layer, driven by net community respiration at depth.

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 score0.032
Threshold uncertainty score0.063

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 communication0.0000.000
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 head0.018
GPT teacher head0.223
Teacher spread0.205 · 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
Published2002
Admission routes1
Has abstractyes

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