Sea level curves, geoid rate and uplift rate from composite rheology in glacial isostatic adjustment modeling
Bibliographic record
Abstract
Laboratory experiments show that both diffusion creep and power-law creep can exist for realistic mantle conditions. Therefore a composite rheology which includes both creep laws might be a better approximation of the deformation process in the mantle. Here we study the effect of such a rheology on glacial isostatic adjustment (GIA) observables. Composite rheology has in the past been shown to provide a better fit to sea level data for a wide range of parameters investigated with 2D finite element models. Here, we use the Coupled Laplace Finite Element Method for an incompressible 3D spherical self-gravitating Earth to study the effect of composite rheology on relative sea level (RSL) curves, maximum present-day uplift rate and maximum present-day geoid rate with the ICE-5G model. The long computation time of this model limits the number of cases that can be investigated to a handful. The stress exponent is taken to be 3, the pre-stress exponent (A) derived from a uni-axial stress experiment is varied between 3.3 x 10−33/10−34/10−35/10−36 Pa−3s−1, and the Newtonian viscosity η is varied between 1/3/9 x 10 Pas. Because the ice models are developed under the assumption of linear rheology any rheology with a non-linear component usually under predicts the uplift rate and geoid rate. Therefore, to see if the ice model can provide a better fit, we investigate simple modifications to the ICE-4G model, such as i) scaling of the ice height by 1.5 and 2.0; and ii) delay in glaciation by 1 and 2 kyears.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".