Analysis of planetary boundary layer : wind and thermodynamic structures over Great Bear Lake during varying synoptic-scale regimes
Bibliographic record
Abstract
Surface observations, lake evaporation data and upper-air soundings were collected in a special data-collection effort during the months of August and September of 2004 and 2005 on an island in the middle of Great Bear Lake, Northwest Territories. For this period of the year, the late summer, when increasing variability in surface pressure starts occurring, the effect of different synoptic-scale regimes on the lake-atmosphere interface is investigated to understand the regional specificities, with comparisons to nearby stations and a high spatial and temporal resolution reanalysis model (North American Regional Reanalysis). The planetary boundary layer over the lake systematically shows typical surface and mixed layer structures but with varying depths depending on the mean lower tropospheric temperature. Inversions in the surface layer, linked with warm regimes, support deep mixed layers. Within the surface layer, during warm regimes, a superadiabatic lapse rate can support (or not) a higher-stability sublayer on top of it, in which case the mixed layer happens to be much deeper. The first mechanism for lake evaporation includes the occasional passage of synoptic-scale storm systems with both warm and cold frontal features creating strong, short-lived latent heat interactions between the lake and the atmosphere, but relatively low total amounts of evaporation. The main mechanism for extensive evaporation is a cold anticyclone allowing for significant daytime insolation. A lake-breeze circulation can then develop and provide strong-enough mesoscale winds for diurnal upward latent heat exchanges, with wind channelling into Keith Arm of the lake for strong lake-breeze onshore winds.
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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 | 0.000 |
| 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) | 0.001 | 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 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".