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Record W7098849770

2012 Project Summary Decadal and Multidecadal Variability of the AMOC in Observational Records and Numerical Models

2014· article· en· W7098849770 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBiological Control of Invasive Species
Canadian institutionsnot available
Fundersnot available
KeywordsAtlantic multidecadal oscillationHydrographyClimate modelLatitudeCurrent (fluid)Data assimilationBoundary current
DOInot available

Abstract

fetched live from OpenAlex

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

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)0.001
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 score0.077
Threshold uncertainty score0.165

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.056
GPT teacher head0.234
Teacher spread0.179 · 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
Published2014
Admission routes1
Has abstractyes

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