Extreme wind regime responses to climate variability and change in the inner south coast of British Columbia, Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This study shows how information about climate variability can be valuable to the understanding of wind regime responses and improvement of wind forecasting skill. To this end we demonstrate the use and value of climate information in accurately determining extreme wind recurrences at three locations on the inner south coast of British Columbia (48°‐49°N, 123°W). The methodology is primarily based on approximating a Generalized Pareto Distribution (GPD) to extreme winds in the presence of climate variability covariates. The long‐term hourly wind speed data maintained by the Meteorological Service of Canada are used to evaluate the possible influence of climate variability on extreme wind response. Preliminary results suggest that there are significantly different extreme wind responses to warm and cold El Niño Southern Oscillation (ENSO) modes, with a tendency for high extreme winds to occur during the negative (i.e., cold) ENSO phase.
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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 | 0.001 | 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 it