Quantitative and mechanistic understanding of the open ocean carbonate pump - perspectives for remote sensing and autonomous in situ observation
Bibliographic record
Abstract
The open ocean carbonate pump represents the production and downward flux of particulate inorganic carbon (PIC) in the form of calcium carbonate synthesized by calcifying plankton. This pump operates alongside the organic carbon pump, which concerns the production and downward flux of organic carbon, mostly in the form of particles (POC). While the organic carbon pump draws down atmospheric carbon dioxide, the carbonate pump causes an increase in surface ocean carbon dioxide (CO2), thereby counteracting the organic carbon pump. However, PIC produced by the carbonate pump is of high-density and has been hypothesized to enhance the downward flux of organic carbon, increasing the efficiency of the organic carbon pump. Here, we review our current quantitative and mechanistic understanding of the contemporary open ocean carbonate pump, its counter- and ballast effects. We first examine the relative contributions of the various calcifying plankton groups (coccolithophores, foraminifera, and pteropods) to PIC production and flux based on a global compilation of PIC flux observations. Next, we compare spatial patterns in calcification rates from remote sensing with observations of PIC flux at depth obtained from sediment traps and radiochemical tracers. We then review estimates of the counter effect of the carbonate pump on the partial pressure of CO2, pCO2, in surface waters based on remote sensing studies and estimates of the rain ratio of exported carbon and the amount of CO2 released per PIC precipitated, Ψ. Next, we review our understanding of the PIC ballast effect and implementations in biogeochemical models. Lastly, we discuss observations of the organic carbon pump with autonomous BioGeoChemical-Argo (BGC-Argo) profiling floats and perspectives for extending observations to the carbonate pump.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.006 |
| Scholarly communication | 0.003 | 0.011 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".