Dual Wave Energy Sources for the Atlantic Niño Events Identified by Wave Energy Flux in Case Studies
Bibliographic record
Abstract
Abstract The evolution of equatorial sea surface temperature anomalies during Atlantic Niño events has demonstrated its diversity in both intensity and timing. To investigate the mechanism responsible for this diversity, this study focuses on ocean responses to atmospheric forcing, manipulating the wind forcing in both equatorial and off‐equatorial regions to excite linear ocean models for three types of events that occurred in 1999, 2019, and 2021 respectively. The results reveal the dual wave energy sources for the equatorial Kelvin waves (KWs): one is the local wind forcing in the western tropical basin; the other is the reflection due to the off‐equatorial Rossby waves in the western boundary. The reflected KWs can precondition the events when wind‐forced KWs insufficiently displace the thermocline (e.g., the boreal winter of 2019 and 2021). The participation of off‐equatorial wave energy hence leads to the diversity of the Atlantic Niños.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".