Disparity in low-flow trends found in snowmelt-dominated mountain rivers of western Canada
Bibliographic record
Abstract
A complex mountainous region that is the source of water for the major river basins of northwestern North America. Trends in magnitudes and timing of annual low flows in relation to basin characteristics and climate indices in 106 nival rivers in British Columbia and Alberta, Two types of significant trends in annual low flows were observed: [1] decreased magnitude and earlier occurrence in the warmer southwest, or [2] increased magnitude and later occurrence in the colder, higher elevation north and east. These differences are associated with differences in the form of nival regime from the reliable cold winter and spring freshet of the north and east to regimes with fall and mid-winter melts, often associated with rainfall, in the south and west. Basin location and regional climate, rather than individual basin attributes such as elevation or hypsometry drove these differences in streamflow regimes and their responses to climate variations and warming. Atmospheric teleconnections had strong effects that corresponded to the regime and spatial differences in trends and were dominated by positive relationships between magnitude and timing with long duration indices (AMO & PDO), and negative relationships with short duration climate indices (NAO & SOI). The pattern of these relationships mimicked the temporal trends over time, positive with magnitude and timing in the northeast, and negative in the southwest. • Annual low flows in nival Canadian Cordillera catchments exhibit different trends. • Trends were either decreases in magnitude and earlier occurrence, or increases in magnitude and later occurrence. • Differences trends in magnitude and timing are related to regional climate and basin storage. • Changes in individual sites may be obscured by pooling using location or hydrological process. • Low-flow patterns are strongly linked to features in the climate system.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 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 teacher head, 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".