Regional modelling of the western Pacific typhoon season 2004
Bibliographic record
Abstract
An ensemble of typhoon events was examined to detect systematic skills and deficiencies of regional atmospheric models in dynamical downscaling these extreme weather phenomena from global reanalyses data. A regional atmospheric model hindcast was computed for the typhoon season 2004 for SE Asia and the western North Pacific. Global reanalyses data were dynamically downscaled to a grid resolution of about 50 km and in a double-nesting approach to 18 km. Simulated typhoon tracks and intensities were compared to best track data. The comparison revealed improved SLP and near-surface wind values by the RCM compared to the reanalyses for most cases. The reanalyses showed smaller great circle distances to the best track data than the regional model. Precipitation patterns and rainfall amounts were simulated more realistically by the RCM using the higher resolution compared to the 50 km run. It is concluded that regional models can improve simulated typhoon developments from global forcing reanalyses data by giving lower core pressure and higher wind speeds and more realistic precipitation patterns even though these values still do not reach observed values.
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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 | 0.000 | 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) | 0.001 | 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 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".