2003. Snowmelt in a Canadian spruce forest: a sensitivity study to canopy cover
Bibliographic record
Abstract
This study investigates the dependence of net radiation at the snow surface to the overlying canopy density. The daily sum of the positive values of net radiation is used as an index of the snowmelt rate. Changes in canopy cover are represented in terms of shortwave transmissivity and sky view factor variations. The case study is a spruce forest in the Wolf Creek basin, Yukon Territory, Canada, and focus is on the spring climate. Of particular interest are the atmospheric conditions that favor an offset between the shortwave energy attenuation and the longwave irradiance enhancement by the canopy. Such an offset is favored in dry climates and at high altitudes, where atmospheric emissivities are low, and in early spring when snow albedo is high and sun elevation is low. A canopy cover increase causes a steady decrease in snowmelt, when the snow albedo is low, until a density close to the actual density of the studied spruce forest. Large snow albedo values cause a low dependence of snowmelt to the canopy cover or a steady increase in melting energy when the canopy cover increases. Boreal evergreen forests do not favor the appearance of a minimum snowmelt rate under some intermediate canopy cover.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".