The axisymmetric collapse of a mixed patch and internal wave generation in uniformly stratified rotating fluid
Bibliographic record
Abstract
We present an experimental and numerical investigation of the effect of Coriolis forces on the axisymmetric collapse of a uniform mixed region in uniformly stratified fluid. Laboratory experiments were performed on a rotating table in which a mixed patch contained initially in a hollow cylinder was released and so excited internal waves whose properties were analyzed using synthetic schlieren. Numerical simulations restricted to an axisymmetric geometry were run with the experimental parameters to confirm the accuracy of the code and the validity of the axisymmetric approximation. The simulations were then run in larger domains and with wide-ranging parameters exploring the dependence of wave generation upon rotation and the aspect ratio of the mixed patch. Internal waves are found to be generated from the circumference of a shallow aspect-ratio mixed patch, with the radial and vertical wavelengths scaling as the mixed-layer depth. In rotating fluid, the energy spectrum revealed that pairs of wavepackets were generated, one with near-inertial frequencies and one with frequencies near the buoyancy frequency. Energy transport due to the waves was most significant during the first 6 wave periods. However, for very low Rossby number Ro ∼ 0.1, internal wave generation continued over relatively longer times as a consequence of undulations of the geostrophically adjusting mixed patch.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".