Canadian Meteorological and Oceanographic society Simulating Wind Channelling over Frobisher Bay and its Interaction with Downslope Winds during the 7–8 November 2006 Wind Event
Bibliographic record
Abstract
AbsTRACT Previous observational studies have identified wind channelling over Frobisher Bay induced by pres-sure fields associated with cyclones as the main cause for the occurrence of strong and sustained surface winds at Iqaluit. The wind event of 7–8 November 2006, when a surface cyclone moved over the Labrador Sea, is rep-resentative of many such occurrences. Our simulations of the event with the Global Environmental Multiscale – Limited Area Model (GEM-LAM 2.5 km) show an almost simultaneous development of wind channelling over Frobisher Bay and of downslope winds over the lee slopes of Hall Peninsula, as well as their interaction. The winds are caused by the passage of the same cyclone, but they advect different air masses. The channelled wind is initiated by a barrier jet generated as a result of the low-level blocking of northeasterly winds by steep orog-raphy near the head of the bay. Later, it intensifies, while being driven primarily by large-scale pressure gradi-ents. The cross-bay development of the channelled wind against the downslope wind over the lee slopes of Hall Peninsula explains the shift in surface wind direction and the high surface wind speeds recorded at Iqaluit. Some of the findings are also supported by data from radiosondes launched at Iqaluit. A short sensitivity study shows the beneficial effect of a distributed orographic drag parametrization on the near-surface winds. The impact of using a modified Lenderink-Holtslag mixing length and of increasing the vertical resolution near the surface are also addressed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".