Lake St. Clair: Storm Wave and Water Level Modeling
Bibliographic record
Abstract
Lake St. Clair is a shallow water body located between Lake Huron and Lake Erie in the Great Lakes complex with coastline in both the United States and Canada.The numerical modeling of waves and water levels was performed to capture storm conditions along the United States coastline.The methodology presented in Jensen et al. ( 2012) for Lake Michigan was followed for the majority of the project.The NOAA/NCEP Climate Forecast System Reanalysis wind fields were adjusted for marine exposure wind speeds.The WAM wave model was validated and applied for production of all wind generated wave results, including ice when applicable.The ADCIRC model was forced with wind fields, flow rates at the St. Clair River boundary, and water levels at the Detroit River boundary and validated to water levels at St. Clair Shores and Windmill Point.The ADCIRC model was tightly coupled with four near-shore Full-Plane STWAVE model grids using CSTORM-MS.The results show good agreement between all validation data sets, and low errors in the production storms with which data was available.In total, 145 storm events were run with the full numerical system to quantify the water level response to extreme events in Lake St. Clair.
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.
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) | 0.064 | 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; 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".