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Dominant biogeochemical processes in the Scotia Sea revealed by an inverse box model

2024· preprint· en· W4405911061 on OpenAlexaboutno aff
Anna Olivé Abelló, Josep Lluís Pelegrí, F. Alexander Haumann, Francisco Machín

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal ecosystems
Canadian institutionsnot available
Fundersnot available
KeywordsBiogeochemical cycleNova scotiaBox modelInverseOceanographyEnvironmental scienceGeographyGeologyMathematicsMeteorologyEcologyBiology

Abstract

fetched live from OpenAlex

An inverse box model of the Scotia Sea balances the Antarctic Circumpolar Current (ACC) heat, salt, mass and biogeochemical transports up to the 28.00 kg m -3 isoneutral. We construct hydrographic and biogeochemical vertical sections enclosing the Scotia Sea using several datasets up to 2018, and constrain the reference velocity at 1000 m with the Argo floats drift. The results reveal 136.7 ± 1.0 Sv entering through the Drake Passage and 137.9 ± 1.0 Sv exiting through the northern passages (113.6 Sv via the North Scotia Ridge and 24.3 Sv through the Georgia Passage), dominated by the deep circumpolar waters. Salt is near-conservative because of scarce water exchange with the atmosphere, with a freshwater flux gain of only 0.06 Sv, but heat is influenced by the intense ocean-atmosphere energy exchange, with a net loss of 0.065 PW. The combination of physical and biogeochemical processes leads to a total net production of nitrate and dissolved inorganic carbon (DIC), and a net consumption of alkalinity and dissolved oxygen (DO). Further, we observe a subsurface poleward transfer of water mass and associated properties across the Polar Front, which sustains overall remineralization and DO outgassing in the mode and intermediate waters of the southern sector. The carbon budget is internally dominated by DIC production at 0.16 ± 0.03 Pg C yr -1 , accumulating at 0.12 ± 0.03 Pg C yr -1 ; however, the air-sea exchange is closely balanced despite additional anthropogenic DIC inputs, suggesting that DIC outgasses at faster rates.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.320
Threshold uncertainty score0.636

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.223
Teacher spread0.207 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations1
Published2024
Admission routes1
Has abstractyes

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