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Record W2087047233 · doi:10.1029/2006gl026881

Uptake and sequestration of atmospheric CO<sub>2</sub> in the Labrador Sea deep convection region

2006· article· en· W2087047233 on OpenAlexaboutno aff
M. D. DeGrandpre, Arne Körtzinger, Uwe Send, Douglas W.R. Wallace, R. G. J. Bellerby

Bibliographic record

VenueGeophysical Research Letters · 2006
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOcean Acidification Effects and Responses
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental scienceConvectionDeep convectionOceanographyMixed layerAtmospheric sciencesSink (geography)Deep seaGeologyClimatologyMeteorologyGeography

Abstract

fetched live from OpenAlex

The Labrador Sea is an important area of deep water formation and is hypothesized to be a significant sink for atmospheric CO 2 to the deep ocean. Here we examine the dynamics of the CO 2 system in the Labrador Sea using time‐series data obtained from instrumentation deployed on a mooring near the former Ocean Weather Station Bravo. A 1‐D model is used to determine the air‐sea CO 2 uptake and penetration of the CO 2 into intermediate waters. The results support that mixed‐layer p CO 2 remained undersaturated throughout most of the year, ranging from 220 μ atm in mid‐summer to 375 μ atm in the late spring. Net community production in the summer offset the increase in p CO 2 expected from heating and air‐sea uptake. In the fall and winter, cooling counterbalanced a predicted increase in p CO 2 from vertical convection and air‐sea uptake. The predicted annual mean air to sea flux was 4.6 mol m −2 yr −1 resulting in an annual uptake of 0.011 ± 0.005 Pg C from the atmosphere within the convection region. In 2001, approximately half of the atmospheric CO 2 penetrated below 500 m due to deep convection.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.764
Threshold uncertainty score0.414

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 head0.021
GPT teacher head0.261
Teacher spread0.240 · 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

Citations41
Published2006
Admission routes1
Has abstractyes

Explore more

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