Vapour flux divergence and moisture budget calculations for Labrador-Ungava
Bibliographic record
Abstract
For the two winter seasons 1956-57 and 1957-58, the author uses aerological data to estimate the moisture budget for the Labrador - Ungava peninsula. Two methods of estimating the vapour flux-divergence between the surface and 500 mb. are described. In the first, the horizontal divergence is determined from separate maps of the flux components with reference to a latitude - longitude grid. A comparison of the resulting maps of flux-divergence with the winter maps of mean monthly precipitation show an agreement in pattern, although allowing for evaporation losses, the amounts appear to be generally too low except in the south-east. The second method, using a triangle technique (Stephenville - Goose - Sept- Iles) at eight levels proved less reliable. A detailed comparison is made of estimates of the total and eddy flux-divergence (based on the first method) and precipitation minus evaporation estimates, and significant differences are discussed. The results show that correspondence between aerological and surface estimate of precipitation minus evaporation a Labrador - Ungava is not as satisfactory as might be hoped.
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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) | 0.000 | 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) | 0.002 | 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".