New Calculation Methods of Diurnal Distribution of Solar Radiation and its Interception by Canopy over Complex Terrain
Bibliographic record
Abstract
The prescription of diurnal radiation distribution and the consideration of topographic impact on canopy radiation interception are often required in ecological modelling studies. The most commonly used methods in current models are the sine-curve assumption for diurnal radiation distribution and the topographic geometric projection for canopy radiation interception. In this study, the defects of these two methods are examined and two new methods are proposed. The new method for prescribing the diurnal radiation distribution is based on the assumption that the direct normal radiation and diffusive radiation follow the sine-curve of solar zenith angle. This improvement is particularly important to the modelling strategies of separating canopy leaves into sunlit and shaded. It can also be used to extrapolating daily data to hourly values so that the short time step models can be applied when only daily data are available. The new method for calculating canopy radiation interception over inclined surfaces is based on the hypothesis that the topographic variation of canopy radiation interception is caused by the variation of sunlit/shaded leaf area index. This new method gives the same
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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 | 0.002 |
| 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".