Analysis for Vertical Wind Shear Change at Coastal Area according to the Sea Surface Temperature
Bibliographic record
Abstract
This study is to analyze the effect of the sea surface temperature (SST) on the distribution of vertical wind speed in the atmospheric boundary layer of coastal area. It is generally known that coastal areas are more susceptible to various weather factors due to interannual variation of sea surface temperature than inland areas. Therefore, the goal of this study is to analyze the relationship between sea surface temperature using the Era-interim reanalysis data and wind speed data based on the meteorological tower data of Hovsore, wind power test bed area in the Danish coastal area. Furthermore, the possibility of disaster caused by vertical wind shear due to sea surface temperature change is discussed. As a result of correlation analysis between the wind data of the meteorological tower and the sea surface temperature of the reanalysis data, the wind speed and the vertical wind shear from the sea are stronger than those from the inland and they are sensitive to the seasonal sea surface temperature changes.
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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 | 0.000 |
| 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 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".