Vertical Wind Speed Extrapolation Using the <i>k</i>—ε Turbulence Model
Why this work is in the frame
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Bibliographic record
Abstract
Vertical wind speed extrapolation is an important component of wind resource assessment where measured wind data at a reference height is extrapolated to hub height using the logarithmic or power law. Both models depend on roughness length but disregard information pertinent to topography. The log law results from the balance between turbulent kinetic energy (TKE) production and dissipation rate for fully developed flow over a horizontally homogeneous surface and is not generally valid. In search of a better extrapolation methodology, the k – ε turbulence model is used to simulate measurements of boundary layer flows over hills accurately. By vertically integrating terms of the modeled TKE equation, a generalization of the log law was developed. The improved model includes a radius of curvature term and height for hills. It outperforms the log law for the cases tested.
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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