Glacial isostatic adjustment on a rotating earth
Bibliographic record
Abstract
We extend and complete previous work to compute the influence of perturbations to the rotation vector on a suite of observables associated with glacial isostatic adjustment (GIA). We emphasize observables relevant to present and future geodetic missions (for example, present-day 3-D crustal motions, relative sea-level change and geoid or absolute sea-level variations). Our calculations adopt spherically symmetric, self-gravitating, Maxwell viscoelastic earth models while incorporating realistic mass (ice plus ocean) load and rotation variations. The predicted rotation-induced signals are dominated by the influence of true polar wander (TPW). The spatial geometry of the TPW-induced relative sea level, geoid and radial velocity fields is primarily that of a degree two, order one surface spherical harmonic. The spatial variation of the horizontal velocity vectors is given by the gradient of this harmonic. The peak radial and horizontal velocities are of the order of 0.5 mm yr−1; however, we show that this value is sensitive to the adopted profile of mantle viscosity. We also demonstrate that an accurate prediction of TPW-induced sea level and 3-D crustal deformation rates requires that a realistic number of glacial cycles be incorporated into the ice load history. We conclude that geodetic observations of the GIA process should be analysed using a GIA theory valid for a rotating planet. Finally, we also consider variations in rotation driven by simple present-day polar melting scenarios and predict the influence of these variations on a suite of geophysical observables. We find that the rotational feedback associated with Greenland melting is capable of significantly perturbing both relative and absolute sea-level variations.
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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 | 0.001 |
| Bibliometrics | 0.000 | 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) | 0.002 | 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".