Seasonal to interannual variability on the southeast Greenland shelf: a study focused on the Sermilik area
Bibliographic record
Abstract
The main objective of this thesis is to analyze the water mass variability and the circulation of the East Greenland boundary current system on the SE continental shelf and to properly represent the shelf/fjord exchange and fjord dynamics. Since the relative partitioning of the water masses composing the East Greenland Coastal Current (EGCC) changes both seasonally and inter-annually, a more complete understanding of this variability is important for (I) evaluating the amount of heat entering the glacial fjords and the melting of Greenland's outlet glaciers and (II) investigating the amount of freshwater the EGCC carry, influencing the stratification of the adjacent Labrador Sea, and in turn the deep convection and the strength of the Atlantic Meridional Overturning Circulation. Regarding the variability and evolution of the East Greenland boundary current system, the eddying GLOB16 configuration (with horizontal resolution of ~4 km in the region of interest) based on NEMO ocean model is used. On the other hand, to investigate the ocean dynamics within a fjord, a frontier-resolution configuration (with horizontal resolution of ~1 km in the region of interest) is employed in order to better resolve the ocean circulation inside the fjord and its interplay with the “open ocean” dynamics. Considering that the bathymetry plays a key role in regulating the AW inflow from the shelf and its circulation within a fjord, a new regional bathymetry product, BedMachine, is used to choose a more accurate input for the High-RES configuration, allowing a robust representation of the 3D fjord geometry and consequently the processes within.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".