A post-processing module based on Cressman’s analysis to improve the Wind Energy Simulation Toolkit mapping system
Why this work is in the frame
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Bibliographic record
Abstract
In this work, a post-processing module based on Cressman’s method of objective analysis is added to the Wind Energy Simulation Toolkit in order to improve the accuracy of the numerical wind atlas of Cuba. Mean wind speed surface observations at 35 meteorological stations and mean wind speed observations at 10, 30, 50, and 100 m height above ground level collected at a network of 58 observation towers are assimilated in the Cressman analysis. Furthermore, the 3-year numerical wind atlas generated for the same period of time is considered as the first guess for the Cressman method. A new wind atlas of Cuba is generated and verified using observation records at 32 meteorological stations and 10 observation towers distributed over the country. In addition, the capability of the new post-processing scheme to adding information on the temporal variability of the wind resource is explored.
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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 | 0.001 | 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 it