Precipitation‐Runoff and Storage Dynamics in Watersheds Underlain by Till and Permeable Bedrock in Alberta's Rocky Mountains
Bibliographic record
Abstract
Abstract The complex mechanisms driving runoff dynamics in mountainous watersheds with thick glacial till and fractured bedrock are not well understood. We examined long‐ and short‐term precipitation‐runoff relationships and quantified subsurface storage in watersheds on the eastern slopes of Canada's Rocky Mountains to develop a conceptual understanding of runoff generation processes in this region. Fractured permeable bedrock (bedrock storage) and glacial till deposits (soil and till storage) collectively result in large dynamic storage (hydrologically active storage). The transition from multiyear dry to multiyear wet patterns increased specific discharge due to less bedrock storage opportunity but did not influence event‐scale rainfall‐runoff responses. Rather, event‐scale rainfall‐runoff responses were governed by snowmelt and soil and till storage capacity. While winter snowfall was an important predictor of annual runoff ratios, storage at the end of the previous fall also influenced runoff ratios. These complex subsurface dynamics and large storage capacities are important for understanding how mountainous watersheds with glacial till deposits may respond to disturbance or climate change.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".