Quasi‐Biennial Modulation of the Southern Ocean Coherent Mode
Bibliographic record
Abstract
Abstract Empirical Orthogonal Function (EOF) analysis of two independent Southern Ocean sea‐level datasets for the period 1992–2002 shows that the coherent oceanic mode–a zonally symmetric counterpart to the atmospheric Southern Annular Mode (SAM)–consistently emerges as the predominant mode of variability and is revealed to be a reliable proxy for circumpolar transport upon subannual to interannual time‐scales. Cross‐validation of the coherent mode from each dataset and that of a global barotropic model demonstrates a high degree of correspondence between sea‐level observations and model estimations and also indicates that the coherent oceanic mode is largely barotropically driven upon subannual time‐scales, whilst baroclinic oceanic effects predominate at longer periods. Both the coherent mode and transport are shown to be modified by the stratospheric Quasi‐Biennial Oscillation (QBO) and a mechanism is described by which QBO‐dependent planetary wave activity may be guided from the stratosphere towards the surface by high‐latitude easterly and westerly jets, inducing wind anomalies that force sea‐level variability through equatorward Ekman transport. A longer (18‐year) tide‐gauge record from the Vernadsky/Faraday station and a 22‐year time series of sea‐level estimations from an ocean general circulation model are used to show that QBO‐induced sea‐level and transport variability may be modulated upon longer time‐scales by a quasi‐decadal cycle of solar activity. Copyright © 2010 Royal Meteorological Society
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".