Enhanced gas fluxes in small sea ice leads and cracks: Effects on CO <sub>2</sub> exchange and ocean acidification
Bibliographic record
Abstract
Earth system models generally partition grid cells into an ice‐covered and an open‐water area and view the ice‐covered area as a barrier to gas fluxes. However, observations suggest that exchange in cracks and small leads can be much higher in localized areas than expected under similar conditions in open water. While these models project a significant retreat in sea ice cover, affecting air‐sea CO 2 exchange and consequently ocean acidification, the simple grid cell partitioning might underestimate the actual CO 2 exchange. A sensitivity study with the Canadian Earth System Model (CanESM2) shows that enhanced CO 2 exchange in sea ice areas in the Arctic Ocean increases the uptake in fall and winter, allowing more continuous equilibration and hence reduced uptake in summer. The reduction in summer also hints at a limited CO 2 ‐uptake capacity of Arctic surface waters. Retreating sea ice in the future leads to a similar shift in the seasonal cycle. The annual mean carbon uptake of the Arctic Ocean north of 68°N changes only slightly with the enhanced flux parameterization ( < 3%). For the central Arctic (north of 80°N) the change is up to 21% and accelerates ocean acidification, e.g. locally, surface waters could reach aragonite undersaturation 1–2 decades earlier. The differences between standard and enhanced exchange test runs become less pronounced in the future due to the reduced ice cover and extended open water season. For the Antarctic sea ice zone where the CO 2 flux is out of the ocean, the enhanced exchange increases outgassing, slightly slowing down acidification.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".