Vertical Motions Prior to the Intensification of Simulated Typhoon Hagupit (2008)
Bibliographic record
Abstract
Abstract Signals prior to tropical cyclone (TC) intensification are important for improving TC intensity forecasts. The existence of such signals has been noted in previous studies of satellite‐borne observations and lightning. Vertical motions can enhance TCs via the transportation of heat to the warm core; thus, we hypothesized they might signal TC intensification. This study separately examined the processes of updrafts and downdrafts, which are both concentrated within the eyewall surrounding the warm core. The analysis focused on the intensification of Typhoon Hagupit (2008). Numerical experiments were conducted using the Weather Research and Forecasting model to elucidate the changing structure of the vertical motions and their effects on the timing of TC intensification. A control (CTL) simulation and an idealized No‐Land experiment both reproduced the storm structure well, whereas a Half‐Bogus (Half‐Moisture) experiment generated less‐organized TC core structures (weakened moisture convection). Upward motions were found to signal TC intensification with lead times of 1.67–4.50 hr in all experiments. Downward motions apparently signaled TC intensification with lead times of 0.67–4.50 hr in the Half‐Bogus and Half‐Moisture experiments. However, the lead‐lag relationship between downward motion and TC intensification was unclear in the CTL and No‐Land experiments because of the large amount of water vapor in the enhanced eyewall. Thermodynamic analysis showed the latent heat consumed in the downdrafts in the CTL and No‐Land experiments was much greater than in the two other experiments, which resulted in the smallest heating contribution in the downdrafts and a weak relationship with TC intensification.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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; both teacher heads agree on what is shown here.
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".