Impacts of Momentum Fluxes Modulated by Surface Waves on Near‐Inertial Motions in Tropical Cyclones
Bibliographic record
Abstract
Abstract Surface waves play an essential role in modifying the momentum fluxes across the air‐sea interface, especially under tropical cyclone (TC) conditions. A coupled wave‐ocean circulation model system, taking into consideration the surface wave effects on momentum fluxes, is applied to investigate the generation of near‐inertial motions (NIMs) under TC conditions. When surface waves are ignored, large overestimates in wind power input are obtained, about 10%–40%, occurring in the right and rear TC regions. Surprisingly, the modulation effects of surface waves on the momentum fluxes have impacts on NIMs that reach depths of ∼100 m; the resulting reduction in the near‐inertial velocity can exceed 0.1 m/s (up to 35%) and the reduction in the near‐inertial energy (NIE) is up to 20%. The largest modifications to NIMs are located at two times the radius of the maximum wind speed, relative to the TC center. In the upper ocean, the mixed‐layer NIE reductions due to surface waves are greater in medium‐speed TCs (3–6 m/s) than in rapidly moving TCs, by about ∼10%, because there are more young waves around the TC centers, and better overlapping between the regions with large wind stress changes and ocean current responses. Given that these effects are notable for surface waves impacts on NIMs, and thus on the currents and the resulting thermal redistribution under TCs, the feedbacks of these modified ocean properties must affect TC evolution and should be included in coupled atmosphere‐ocean studies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".