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Record W2162109032 · doi:10.1029/2002jb002054

Interannual oscillations in length of day: Implications for the structure of the mantle and core

2003· article· en· W2162109032 on OpenAlexaff
J. E. Mound, B. A. Buffett

Bibliographic record

VenueJournal of Geophysical Research Atmospheres · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGeomagnetism and Paleomagnetism Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMantle (geology)Inner coreCore–mantle boundaryAngular momentumPhysicsGeophysicsEarth's rotationOuter coreEarth's internal heat budgetDynamo theoryGeologyMantle convectionDynamoMagnetic fieldClassical mechanicsLithosphereAstronomy

Abstract

fetched live from OpenAlex

An ∼6‐year variation in the length of day has been observed for which there is no corresponding signal in records of atmospheric angular momentum. We find that this signal can be explained by an exchange of angular momentum with the core arising from gravitational coupling between the mantle and inner core. We develop a theoretical model of the core‐mantle system that includes a combination of gravitational and electromagnetic couplings that allow angular momentum to be transferred between the solid inner core, fluid outer core, and mantle of the Earth. This model is used to calculate the natural period of interannual oscillations in the axial rotation of the core and mantle. The period and quality of the free oscillations depend on physical properties of the core and mantle. Time‐varying geodynamo processes produce torques on the inner core which are capable of exciting the predicted free oscillations to observable levels. The observed length‐of‐day variation is used to constrain the strength of gravitational coupling between the mantle and inner core and hence the degree 2, order 2 component of equipotential surfaces at the inner core boundary and core mantle boundary. This constraint has implications for models of mantle flow.

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)0.001
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 score0.788
Threshold uncertainty score0.134

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.027
GPT teacher head0.326
Teacher spread0.299 · 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

Citations86
Published2003
Admission routes1
Has abstractyes

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