2012 Project Summary Decadal and Multidecadal Variability of the AMOC in Observational Records and Numerical Models
Bibliographic record
Abstract
The purpose of this project is to identify and investigate variables and processes that have been relatively better observed and can be associated with decadal-‐to-‐multidecadal changes of AMOC, and to examine these processes in climate model simulations. Recent Results (1) The North Brazil Current (NBC) transport, calculated from 5 decades of historical hydrographic data, exhibited a multidecadal variability. It is shown to be an useful indicator for AMOC low frequency variations. As a major pathway for surface return flow of AMOC, the NBC transport variability lags the Labrador Sea deep convection by a few years and is coherent with the Atlantic Multidecadal Oscillation (AMO) in sea surface temperature. The study suggests a need of western boundary current measurements off the coast of Brazil as a complementary component of AMOC observing system, so that the multidecadal historical record can be extended further into the future. (Zhang et al. 2011, an AGU Journal highlight) (2) While decadal variability of NBC and AMOC at various latitudes (e.g. 6°S, 26°N and 40°N) are highly coherent in coupled models, they are less so in data assimilation products. GECCO and SODA show that the AMOC at 6°S is more coherent with the AMO than the AMOC at
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".