Modeling the Continental Shelf Pump for Dissolved Inorganic Carbon in the Chukchi Sea From 1998 to 2015
Bibliographic record
Abstract
Abstract Quantifying the flux of dissolved inorganic carbon (DIC) from the Chukchi shelf to the deep ocean (i.e., the continental shelf pump) is of great significance for understanding the carbon cycle and ocean acidification in the changing Arctic Ocean. Using a coupled ocean‐sea ice‐biogeochemical model, this study shows that the Pacific inflow drives the highly efficient continental shelf pump in the Chukchi Sea, with a multi‐year average of 828 Tg C‐DIC exported to deep basins during 1998–2015. The Pacific annual inflow carries 385 Tg C‐DIC to the Chukchi Sea in summertime (May–September) and 436 Tg C in wintertime (October–April). Downstream, DIC is mainly exported via Barrow Canyon (BC) (266 Tg C, 64%) in summer and along the shelf under the 100 m isobath (217 Tg C, 53%) in winter. This variability corresponds to the seasonal variation of local winds. The stronger winter northeasterly winds hinder the outflow through BC. In both seasons, interannual variability exists in the proportion of DIC exports through different pathways. The fraction of DIC export via BC has a significant correlation (r > 0.8) with the along‐canyon wind speed. This is further related to the sea level pressure (SLP) gradient between the Arctic and North Pacific. A weaker SLP gradient leads to weaker local northeasterly wind, and thus favors a higher proportion of DIC export via BC and lower DIC export through other pathways. This process plays a key role in the redistribution of shelf‐sourced DIC in deep basins of the Arctic Ocean.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".