The Importance of Critical Layer in Differentiating Developing from Nondeveloping Easterly Waves
Bibliographic record
Abstract
Abstract Recently Asaadi et al. found that an easterly wave (EW) train over the Atlantic and eastern Pacific is oriented in a southeast–northwest direction because of the observed tilt in the easterly jet. This tilt results in only one out of four (~25%) waves to be located at the cyclonic critical layer south of the jet axis in a comoving frame, and they subsequently developed into named storms. Asaadi et al. suggested a geometrical view for developing disturbances, which is the coexistence of a nonlinear critical layer and a region of weak meridional potential vorticity (PV) gradient over several days. Asaadi et al. focused on the developing waves and did not investigate the nondeveloping ones. To determine whether the nondeveloping EWs are not associated with a critical layer, a simple objective tracking technique is used to identify EWs. Composite views of the large-scale structure and characteristics of nondeveloping EWs show that ~91% of nondeveloping waves are not located on a critical layer, while the remaining ~9% indicate characteristics similar to the developing waves. Examination of the composite Okubo–Weiss parameter indicates that the nondeveloping waves are characterized by larger negative values, implying that they are dominated by deformation, unlike developing waves, which tend to be more immune from the deformation.
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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 | 0.001 | 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 | 0.001 | 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 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".