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Record W1512831560 · doi:10.1029/gm127p0011

Turbulence Generated by Microscale Breaking Waves and its Influence on Air-Water Gas Transfer

2011· book-chapter· en· W1512831560 on OpenAlex
Muhammad Haroon Siddiqui, Mark Loewen, Christine Richardson, William E. Asher, Andrew T. Jessup

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 · 2011
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
TopicOcean Waves and Remote Sensing
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMicroscale chemistryTurbulenceBreaking waveEnvironmental scienceAtmospheric sciencesClear-air turbulencePhysicsMechanicsMeteorologyWave propagationOptics

Abstract

fetched live from OpenAlex

The results from a series of wind-wave flume experiments using simultaneous DPIV (digital particle image velocimetry) measurements and IR (infrared) imagery to investigate microscale breaking waves are presented. We show that the IR signatures of microscale breaking waves are produced by a series of strong vortices that form behind the leading edge of the breakers. These strong vortices disrupt the cool skin layer and generated a thin layer of enhanced turbulence immediately below the air-water interface. In addition we used CFT (controlled flux technique) to make measurements of the local heat transfer velocity and found that the transfer velocity was correlated with the near-surface vertical turbulent velocity. We conclude that near-surface turbulence generated by microscale wave breaking determines the transfer rate at low to moderate wind speeds.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.846
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.169
Teacher spread0.160 · 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