Interannual Variability of Surface Salinity and Ekman Pumping in the Canada Basin During Summertime of 2003–2017
Bibliographic record
Abstract
Abstract The Canada Basin (CB) is undergoing significant changes due to long‐term global climate change, and other shorter time‐scale processes that are still not well understood. Based on the in‐situ and satellite observations and atmospheric reanalysis data, interannual variabilities of sea surface salinity and Ekman pumping in the CB are investigated in the summertime of 2003–2017. This study reveals strong surface salinity reduction and Ekman downwelling enhancement during 2006–2012 compared with the remaining years. The surface 20‐m salinity averaged in 2006–2012 decreases by 1.26 PSU relative to the other years. The results suggest that the lower surface salinity is correlated to enhanced sea ice melt and Ekman convergence in the CB. Enhanced downward solar radiation accounts for the accelerated sea ice melt over the southeast CB, leading to the surface salinity decrease. Strengthened anticyclonic wind circulation over the CB not only enhances sea ice melt via strengthening offshore Ekman transport over the Chukchi Sea slope, but also favors freshwater accumulation in the CB through strengthening the horizontal convergence. The sea ice melt is estimated to account for 54% of the surface freshening, and the horizontal convergence is believed to play an important role in the remaining 46%. During the freshening years in the CB, the Ekman downwelling enhancement is mainly attributed to variations of wind stress curl, sea ice concentration, and ice‐ocean stress curl, and their relative contributions are estimated on the basis of on a linearized model as 72%, 12%, and 10%, respectively.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".