The Modeling of Trapped-Fetch Waves with Tropical Cyclones—A Desktop Operational Model
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The authors’ development of an underlying theory of trapped-fetch waves with tropical cyclones was presented in an earlier paper. Based on this work a simple, desktop Lagrangian-based trapped-fetch wave model was developed. Although initially a training tool, operational meteorologists recognized that the model could assist them in real-time assessment of trapped-fetch wave potential. Hence, the model was integrated into the Canadian Hurricane Centre’s operational prediction workstation. Because of this integration and the computational speed of the model, after reviewing the output from a full spectral wave model, the forecaster uses this simple model to assess, in more detail, trapped-fetch wave potential in various track prediction scenarios. The trapped-fetch wave model and the ensemble of parametric hurricane wind models used to drive the model are outlined in this paper. A number of case studies are examined and additional applications suggested.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it