Bibliographic record
Abstract
The seaice in the Arctic is an important component in the climate system, and plays an important role by interacting with atmospheric circulation trough surface-albedo and energy-exchanges. To study the atmospheric response to changes in sea-ice and SST in the Labrador Sea an atmospheric global circulation model (ARPEGE/IFS) is constructed. The control-experiment is set up with a climatologic icecover and SST. Two perturbed experiments, LABMAX and LABMIN, is set up with increased ice-cover/lower SST and decreased ice-cover/higher SST in the Labrador Sea respectively. By using the analysis-tool TRACK a southward shift in the stormtracks over the North Atlantic is discovered when increasing the ice-cover beyond the climatology. A reduction in the ice-cover beyond the climatology does not affect the stormtracks over the North Atlantic. A negative feedback-mechanism involving the Labrador Sea ice-cover is proposed. An increase in the ice-cover beyond the climatology will force a southward shift in the stormtracks over the North Atlantic and a decrease in the NAO-index. This gives a response to the atmospheric circulation which tends to reduce the ice-growth in the Labrador Sea.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.145 | 0.103 |
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".