GRACE/SLR-based gravity field and the Earth's core: New estimates for parameters of key core processes
Bibliographic record
Abstract
<!--!introduction!--> The Earth’s interior, particularly the Earth’s fluid outer core, possesses a broad dynamics of processes involving mass variations. Theoretical models predict variations of the gravity field at low degrees and at inter-annual / decadal time scales. These include dynamic pressure changes at the Core Mantle Boundary (CMB) associated with core flows reconstructed from geomagnetic observations and reorientation of the inner core controlled by gravitational coupling with the mantle. The hypothetical effects due to some dissolution/crystallization at the CMB introduce a time-varying roughness of the interface. Taking into account these considerations, for the first time, we investigate the density and pressure changes obtained from magneto-hydro-dynamics (MHD) simulations that reproduce geomagnetic jerks. Besides the geomagnetic information, we also are interested in exploiting long series of gravity measurements. The time-variable Earth’s gravity field is measured by satellite missions such as GRACE and GRACE Follow-On and by Satellite Laser Ranging (SLR). These products enable to study continental hydrology, oceanic and atmospheric loading, post-glacial rebound, glaciers, earthquakes and other phenomena that involve mass variations. The comparison of GRACE and SLR gravity field variations with Earth’s core predicted signals gives new inputs on parameters of the Earth’s core processes. This study provides new upper-bound values for pressure anomalies at the CMB and angle of reorientation for the inner core.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".