Northern Hemispheric cryosphere response to volcanic eruptions in the Paleoclimate Modeling Intercomparison Project 3 last millennium simulations
Bibliographic record
Abstract
Abstract We analyzed last millennium simulations (circa 850–1850 Common Era) from the Paleoclimate Modeling Intercomparison Project 3 (PMIP3) project to determine whether current state‐of‐the‐art models produce sudden changes and persistence of cold conditions after large volcanic eruptions as inferred from geological records and previous climate modeling. Snow cover over Baffin Island in the eastern Canadian Arctic shows large‐scale expansion (as seen in proxy records) in two of the five models with snow cover information available, although it is not sustained beyond a decade. Sea ice expansion in the North Atlantic is seen in some PMIP3 models after large eruptions, although none of these models produce significant centennial‐scale effects. Warm Baffin Island summer climates stunt snow expansion in some models completely, and model topography tends to miss the critical plateau elevations that could sustain snow on the island. Northern Hemisphere sea ice extent is lower in six of the eight models than in reconstructions over the past millennium. Annual average Northern Hemisphere mean climates have a range of 3 K across models, while Arctic summer land‐only climates span more than 6 K. This has critical consequences on ice and snow formation and persistence in regions such as the Arctic where temperatures are near the freezing point and small temperature changes affect ice and snow feedback that could induce further climate changes. Thus, it is critical that models accurately represent absolute temperature.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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 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".