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Record W1552455917 · doi:10.1002/9781118856024.ch5

Altimetry in a GFD Laboratory and Flows on the Polar <i>β</i> ‐Plane

2014· other· en· W1552455917 on OpenAlex
Yakov D. Afanasyev

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGeophysical monograph · 2014
Typeother
Languageen
FieldEarth and Planetary Sciences
TopicGeophysics and Gravity Measurements
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsGeologyRossby waveElevation (ballistics)AltimeterGeodesyPolarSurface (topology)Rotation (mathematics)Geophysical fluid dynamicsPlane (geometry)PhysicsFlow (mathematics)GeophysicsRemote sensingMeteorologyMechanicsGeometryMathematicsAstronomyAtmospheric sciences

Abstract

fetched live from OpenAlex

Rotating table experiments are essential in the study of geophysical fluid dynamics (GFD) where planetary rotation is important. They are a valuable research tool that allows one to gain insight into the dynamics of oceanic and atmospheric flows. This chapter describes a different technique for global measurements of dynamic fields. This technique is based on optical altimetry and allows one to measure the slope of the surface elevation in every pixel of the image of the flow. The chapter gives a brief review of the general features of a rotating layer with a free surface, including the so-called polar β-plane approximation. It discusses the experimental technique, including the methods of conversion of the slope of the surface elevation into velocity. The chapter also gives a theoretical description of inertial and Rossby waves. Finally, it presents the examples of different flows studied with the altimetric imaging velocimetry (AIV) technique.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.462
Threshold uncertainty score1.000

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)0.0010.001

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 head0.008
GPT teacher head0.183
Teacher spread0.175 · 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