On the Origin of Holocene Sea-Level Transgressions in Formerly Glaciated Regions
Bibliographic record
Abstract
Over glacial cycles, the growing and shrinking of ice sheets has caused relative sea level (RSL) to differ from global mean sea level (GMSL) due to glacial isostatic adjustment (GIA), which depends on the viscoelastic properties of the solid Earth. During the last termination and through the Holocene, GIA-related isostatic uplift caused RSL to fall in regions formerly covered by ice sheets. Surrounding these uplifting regions is a narrow band of land where postglacial RSL fall was interrupted during the Holocene by a period of sea-level rise (i.e., a transgression) that culminated in a high stand before sea-level fall resumed. Holocene transgressions and high stands have been well documented in many locations including Norway, the Canadian Atlantic coast, the Canadian Pacific coast, Svalbard, the Baltic Sea, and the British Isles. A leading hypothesis poses that transgression occurred when GMSL rise outpaced isostatic rebound. We investigate the origins of these Holocene transgressions using GIA modeling and test the alternative hypothesis that they are predominantly the result of solid earth deformation. Our results highlight a unique pattern of solid earth deformation in which the region of subsidence (peripheral bulge) surrounding the ice sheet migrates first towards and then away from the melted ice mass. We show how this effect, which we term ‘reverse migration’, is the direct result of the contrast in viscosity between the upper and lower mantle. We compare our GIA model predictions of RSL change to two datasets: 1) RSL data from the last glacial maximum to present and 2) specific constraints on the transgression magnitude in Norway and Eastern Canada. Both datasets better fit RSL predicted by GIA models that include a mantle with a substantial (order of magnitude) increase in viscosity with depth over GIA predictions that don’t include a contrast in mantle viscosity. We argue that this is a useful constraint on the local viscosity structure. Further, this suggests that in contrast to the conventional view that Holocene transgressions record GMSL temporarily outpacing isostatic uplift, solid earth deformation and specifically reverse migration played an important role in generating near-field Holocene transgressions.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".