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Effects of mantle flow law stress exponent on postglacial induced surface motion and gravity in Laurentia

2002· article· en· W2127196892 on OpenAlexaff
Patrick Wu

Bibliographic record

VenueGeophysical Journal International · 2002
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicHigh-pressure geophysics and materials
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsGeologyMantle (geology)GeophysicsLithosphereLaurentiaRheologyPower lawViscoelasticityPhysicsSeismologyThermodynamicsTectonics

Abstract

fetched live from OpenAlex

Recent studies show that power-law rheology with stress exponent n = 3 in the lower mantle or in a thin zone just beneath the lithosphere are consistent with the sea level observations in and around Laurentia. In this study, the stress exponent n is varied from 2 to 4, and for each value of n, a range of creep parameter A * is searched to find the earth model that gives the best fit to the sea level observations in and around Laurentia. The effects of stress exponent on other geophysical observables-namely present day uplift rate, horizontal velocity, free-air gravity and the rate of change in gravity are also studied. The model used to calculate the postglacial readjustment of the Earth is a 3-D finite element model that includes realistic ice histories and eustatic water loads on stratified incompressible viscoelastic Maxwell flat-earths. Three types of earth rheology models are considered-the first one has nonlinear rheology throughout the mantle and the second has a nonlinear zone at the top of the mantle below the elastic lithosphere and a linear mantle. The third one has nonlinear rheology restricted to lie in the lower mantle. It is found that the models with nonlinear rheology in the lower mantle give better fits to the sea level data in and around Laurentia than the first two types. However, sea level data, when taken as a whole, cannot clearly discriminate between the stress exponents 2, 3 or 4. Present day uplift rate, horizontal velocity and rate of gravity change however may be useful in further discriminating mantle rheology.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.699
Threshold uncertainty score0.506

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.205
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations23
Published2002
Admission routes1
Has abstractyes

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