Jason-1 Observation of Typhoon Storm Surge and Analysis Based on Numerical Simulation
Bibliographic record
Abstract
Abstract Storm surge is one of the most disastrous marine disasters to coastal regions. It is greatly essential to research on storm surge and mitigate this damage. In our paper, Typhoon hit the Japan Coast on 31 July, 2004. Jason-1 and two tide-gauge stations all captured the obvious sea level anomalies. The magnitude of this storm surge was approximately 0.4 m. We further used the Unstructured Grid Finite-Volume Community Ocean Model (FVCOM) to simulate this storm surge. The method based on the relationships between the maximum wind speed of best track and that of CFSR data was adopted to reconstruct wind field. This method reduced the root mean squared error (RMSE) from 0.11 m to 0.07 m at Owase station. The accuracy was improved by 35%. Similar to Owase station, the RMSE was reduced from 0.085 m to 0.06 m at Cape Muroto station. The accuracy was improved by 30%.
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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 | 0.001 |
| 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) | 0.000 | 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".