Multi-variable verification of hydrological processes in the upper North Saskatchewan River basin, Alberta, Canada
Bibliographic record
Abstract
The ACRU agro-hydrological modelling system was set up to simulate the impacts of climate change on the hydrological responses of the 3856-km2 Cline River watershed, the major headwater of the upper North Saskatchewan River basin in central Alberta, Canada. The physical–conceptual ACRU model was set up to simulate all elements of the hydrological cycle on a daily time step for the 1961–1990 baseline period, to serve as the basis for later climate change impact simulations. After parameterization, the output from the ACRU model was verified against temperature, snow water equivalent, glacier mass balance, potential evapotranspiration, and two sets of long-term daily streamflow records. The multi-variable verification analyses were implemented to instil confidence that the simulated streamflow time series is based on a realistic combination of bio-physical parameters and represents the watershed behaviour in terms of annual water yields, seasonality, shape and magnitude of the hydrographs, and streamflow variability. Editor Z.W. Kundzewicz Citation Nemeth, M.W., Kienzle, S.W. and Byrne, J.M., 2012. Multi-variable verification of hydrological processes in the upper North Saskatchewan River basin, Alberta, Canada. Hydrological Sciences Journal, 57 (1), 84–102.
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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 | 0.001 | 0.001 |
| 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".