SIX YEARS OF TOMOGRAPHY OBSERVATION IN THE CENTRAL LABRADOR SEA
Bibliographic record
Abstract
The Central Labrador Sea is an area of water-mass formation with a strong impact on the deep water of the Atlantic Ocean. Within the German SFB460 project a mooring array has been maintained since 1996 in the Central Labrador Sea. The measured data include time series of temperature and salinity at the mooring locations, and also acoustic travel- time data from tomographic transmissions between the moorings for the period 1997-2003. From the analysis of travel-time data horizontally averaged temperature profiles were obtained along ~150 km sections defined by corresponding moorings; for the routine analysis of travel-time data the matched-peak inversion approach was applied. The obtained heat- content results from the tomography experiment reveal a warming of 0.18°C in the upper 1800m over five years. By comparing the heat content (from acoustic measurements) to the surface heat flux (from meteorological measurements and models) an estimate of the horizontal heat flux (due to advection) can be obtained. The horizontal mean temperature variability can be interpreted in terms of a change in the Labrador Sea Water (LSW) volume and the corresponding formation rates. The obtained estimates for the volume of newly formed LSW ranges between 10 13 m 3 to 7*10 13 m 3 and formation rates up to 8 Sv.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".