Potential Ice Sheet Modulation of Volcanism in West Antarctica: Constraints on the Cadence and Magnitude of Melt Delivery Into the Crust
Bibliographic record
Abstract
Abstract Variations in continental ice mass related to changes in Earth's obliquity can modulate volcanism. At Marie Byrd Land, increases in crustal temperature related to the transfer of magmas and to the insulating effects of the West Antarctic Ice Sheet will reduce the effective viscosity of wall rocks, causing the volcanic response to be reduced in magnitude and delayed by up to 10.25 kyr. For sufficiently high levels of crustal warming, magma storage is enhanced such that there is a negligible volcanic response. Tephra layers correlated to Mount Berlin volcanism signal increases in the frequency of silicic eruptions following maxima in the rate of deglaciation over 0–40 ka (interval 1) and possibly 100–135 ka (interval 2). During interval 1, an increase in eruption frequency at 8 ka lags deglaciation by 6.5–9 kyr. An increase in volcanism at 110 ka, by contrast, may lag deglaciation by 10.25 kyr. We hypothesize that a decrease in lag time of 10 ka reflects a period of reduced crustal warming related to a waning mantle melt supply. Using thermal models of the effects of ice sheet insulation and a time‐dependent magma supply on the viscoelastic response of rocks hosting volcanically active magma reservoirs, we show that a periodic magma supply can drive oscillations between rheological regimes favoring eruption or storage. With additional constraints on the regional geothermal heat flux and eruption rate at Mount Berlin, an evolving response between 110 and 8 ka is consistent with magma injections with a period of years.
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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 | 0.000 |
| 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) | 0.001 | 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".