Connecting the Atlantic-sector and the north Pacific (Mt Logan) ice core stable isotope records during the Holocene: The role of El Niño
Bibliographic record
Abstract
The δ( 18 O) Holocene of the Mt Logan ice core is very different from those of eastern Arctic Canada and Greenland. The large changes seen in Logan dwarf even the largest change (the cooling event 8200 years ago) in the Atlantic-sector cores. Large changes in Logan’s δ( 18 O) and d are related to the state of El Niño as reflected by the Quelccaya δ( 18 O) series. It is found that the lagged auto-difference series of the ice core records from the Agassiz ice cap, Greenland and the 23-site stack of paleotemperature records of Kaufman et al. (Kaufman DS, Schneider DP, McKay NP, Ammann CM, Bradley RS, Briffa KR et al. (2009) Recent warming reverses long-term Arctic cooling. Science 325: 1236) produce highly significant matches to the Mt Logan δ( 18 O) series. These correspondences suggest a lag of 1200 years. This lag time is what some models of the Diffusive-Great Ocean Conveyor (D-GOC) predict for the average travel time from the North Atlantic to the tropical eastern Pacific. Monte Carlo testing of the correlations show that they are very significant. The implications of ENSO being affected by the difference between temperatures today and those of 1200 years ago are touched on.
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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 | 0.002 | 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 | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".