Bibliographic record
Abstract
Figure illustrating surface air temperature differences caused by a warming of tropical SST from glacial conditions We investigate the role of the tropics in the melting and reforming of the Laurentide ice sheet on glacial timescales using an atmospheric general circulation model. It is found that warming of tropical sea surface temperatures (SST) from glacial boundary conditions, as observed at the end of glacial periods, causes a large increase in summer temperatures centered over the ice-sheet-forming regions of Canada. This high latitude response to tropical change is due to relatively small changes in the circulation of the extratropical atmosphere which lead to changes in the vertical profiles of temperature and moisture in the extratropical atmosphere. These changes via an atmospheric bridge between the tropics and extratropics represent a mechanism for deglaciations which is consistent with timing constraints. In contrast, a cold perturbation to tropical SST for interglacial boundary conditions results in very little change in circulation and almost no cooling over the Canadian region. This implies that tropical SSTs could play a more important role in melting ice sheets in the northern hemisphere than in reforming them, possibly providing a mechanism which could help to explain the relative rapidity of deglaciation. Rodgers, K., Lohmann, G., Lorenz, S., Schneider, R., and Henderson, G., 2003: A Tropical Mechanism for Northern Hemisphere Deglaciation. Geochem., Geophys., Geosyst., 4(5), 1046, doi: 10.1029/2003GC0000508. https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2003GC000508 Lohmann, G., and Lorenz, S., 2000: On the hydrological cycle under paleoclimatic conditionsas derived from AGCM simulations. Journal of Geophysical Research, 105, no. D13, 17,417-436. https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2000JD900189
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.019 | 0.001 |
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".