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Record W7132932794

Laboratory measurements of the flow beneath microscale breaking waves

2002· dissertation· W7132932794 on OpenAlexfundno aff
Muhammad Husain Kamran Siddiqui

Bibliographic record

VenueTSpace · 2002
Typedissertation
Language
FieldEarth and Planetary Sciences
TopicOcean Waves and Remote Sensing
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaNational Science Foundation
KeywordsMicroscale chemistryBreaking waveParticle image velocimetryTurbulenceGravity waveKinetic energyAmplitudeSurface waveWind wave
DOInot available

Abstract

fetched live from OpenAlex

Microscale breaking wave are short gravity waves that break without air entrainment. Microscale breaking waves occur at low to moderate wind speeds (i.e. 4–12 m s−1) and are typically O(0.1–1)m in length. This work reports on a series of laboratory experiments investigating the flow field beneath microscale breaking waves. In this study, surface temperature measurements were made using infrared imagery and the two-dimensional velocity fields were simultaneously measured using digital particle image velocimetry (DPIV). Microscale breaking was found to generate strong near-surface vortices that produced the wakes visible in the IR images. The fractional area coverage of the wakes generated by microscale breaking waves was closely correlated with the wave slope and the turbulent kinetic energy, demonstrating that as the wind speed increases, the waves become steeper and this leads to more microscale wave breaking, which enhances near-surface turbulence. At a wind speed of 4.5 m s−1, 11% of the waves were microscale breaking waves, whereas, 91% of the waves were microscale breaking waves at a wind speed of 11.0 m s−1. It was shown that on average, microscale breaking waves are significantly larger in amplitude and steeper than non-breaking waves and that the turbulent kinetic energy generated by a microscale breaking wave was up to a factor of two larger than that generated by a non-breaking wave. The coherent structures generated by wind wave were detected and their statistical properties were used as an input to the surface renewal model to predict air-water gas transfer velocities. The predicted transfer velocities increased by a factor of eight over the wind speed range 4.5 to 11.0 m s−1 and were comparable with measured values. Our laboratory results showed that at wind speeds greater than 7 m s −1, more than 80% of the waves were microscale breaking waves, that more than 86% of the near-surface turbulent kinetic energy and more than 90% of the air-water gas flux was due to microscale breaking waves. This led to the conclusion that microscale breaking waves may prove to be the dominant mechanism that controls the rates of air-sea gas and heat transfer.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.259
Teacher spread0.232 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations0
Published2002
Admission routes1
Has abstractyes

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