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Record W1877005220 · doi:10.1029/2007gb003118

Carbon‐cycle feedbacks of changes in the Atlantic meridional overturning circulation under future atmospheric CO<sub>2</sub>

2008· article· en· W1877005220 on OpenAlexafffund
Kirsten Zickfeld, Michael Eby, Andrew J. Weaver

Bibliographic record

VenueGlobal Biogeochemical Cycles · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicAtmospheric and Environmental Gas Dynamics
Canadian institutionsUniversity of Victoria
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Foundation for Climate and Atmospheric Sciences
KeywordsEnvironmental scienceCarbon cycleNorthern HemisphereAtmospheric sciencesClimatologyBiosphereThermohaline circulationShutdown of thermohaline circulationLatitudeAtmosphere (unit)Zonal and meridionalOceanographyNorth Atlantic Deep WaterEcosystemGeologyEcologyMeteorology

Abstract

fetched live from OpenAlex

An Earth System model of intermediate complexity is used to quantify the effects of potential reorganizations of the Atlantic meridional overturning circulation, ranging from a weakening to a complete shutdown, on future uptake of excess CO 2 by the ocean and the terrestrial biosphere. Circulation changes significantly reduce oceanic CO 2 uptake, with the largest effects occurring under a complete shutdown. The reduction in uptake is caused to a large extent by a decline in marine export of organic particulate matter. On land, soil carbon increases because of reduced soil respiration in the mid‐latitudes of the Northern Hemisphere. This gain is partially compensated by loss of vegetation carbon associated with reduced primary production in the northern high latitudes due to a cooler and dryer climate. Altogether, these processes act to modestly enhance CO 2 concentration levels in the atmosphere, thereby leading to a small positive feedback. The rise in atmospheric CO 2 ranges from 13 ppm to 34 ppm in 2500, depending on the amount of AMOC weakening, the magnitude of the anthropogenic CO 2 perturbation, and the future CO 2 fertilization effect.

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)0.000
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 score0.111
Threshold uncertainty score0.700

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.006
GPT teacher head0.201
Teacher spread0.195 · 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

Citations69
Published2008
Admission routes2
Has abstractyes

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