Glacier contribution to the North and South Saskatchewan Rivers
Bibliographic record
Abstract
Abstract The hydrological model WATFLOOD and a separate volume–area scaling relationship are applied to estimate glacier wastage and seasonal Melt contribution to the North and South Saskatchewan Rivers originating in the Canadian Rocky Mountains (1975–1998). Wastage is the ice melt volume that exceeds the volume of snow accumulation into the glacier system in a hydrological year, causing an annual net loss of glacier volume. Melt is the ice melt volume that is equal to, or less than, the volume of snow that accumulates into the glacier system in a hydrological year. By our definition then, glacier Melt is a storage term and does not contribute to increased total annual streamflow. Water is stored as snow on accumulation into the glacier system, and the water equivalent runoff is delayed until ice melts in the late summer months of the otherwise low streamflow. Wastage varied between basins with similar glacierized areas reflecting the individual response of glaciers to climate, contributing over 10% to July‐to‐September streamflow in some headwater basins, but under 3% annually to the regulated flow at Edmonton and Calgary. Melt was positively correlated with basin glacierized area and contributed over 27% to July‐to‐September flow from basins with greater than 1% glacierized area, and over double the wastage volume at Edmonton and Calgary. Future glacier decline is therefore expected to result mainly in an advancement of peak flow towards a non‐glacierized snowmelt regime hydrograph, resulting in significantly reduced late summer flows further reduced by decreasing wastage contributions. Copyright © 2009 John Wiley & Sons, Ltd and Her Majesty the Queen in right of Canada.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".