Application of the Versatile Soil Moisture Budget Model to Estimate Evaporation from Prairie Grassland
Bibliographic record
Abstract
Coupled hydrological modelling of land surface and groundwater is an effective tool for water resources management. The Versatile Soil Moisture Budget (VSMB) model is a simple land-surface model that has been widely used in the Canadian prairies to simulate soil moisture conditions of cropland. Its algorithm is suitable for coupling with a groundwater model, but VSMB has not been rigorously tested for grassland as such. The accuracy of simulated grassland evaporation was evaluated against three years of field data collected using the eddy-covariance technique near Calgary, Alberta. The current version of VSMB substantially underestimated evaporation. After modifications on growth stage parameters, radiation scheme, the drying curve function representing the ratio of actual to potential evaporation, and soil-column length, simulated evaporation was well within the error margin of observed values. In the semi-arid environment of the test site, simulated evaporation was relatively insensitive to soil water storage parameters but was sensitive to the drying curve function and soil-column length.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".