Relationship Between the Pacific‐North American Pattern and the Frequency of Tropical Cyclones Over the Western North Pacific
Bibliographic record
Abstract
Abstract The frequency of tropical cyclones (TCs) over the western North Pacific during June–November has a significant inverse correlation with the concurrent Pacific‐North American (PNA) pattern from 1965 to 2016. During low PNA years, more TCs form north of 12.5°N, with significantly greater TC occurrences from 15 to 20°N, compared to high PNA years. The difference in TC genesis location can be explained by the differences in the genesis potential index derived from the environmental variables in both PNA phases. The PNA influences TC formation primarily by modulating large‐scale dynamic conditions, with thermodynamic conditions playing a lesser role. In low PNA years, low‐level anomalous cyclonic lows over the Philippines and in the subtropical central Pacific provide significant positive relative vorticity anomalies favorable for TC genesis. Additionally, there is also less vertical wind shear to the north of the Philippines due to enhanced winds at low levels and weaker winds at upper levels.
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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 | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".