Streamflow response to climatic variability in a complex mountainous environment: Fraser River Basin, British Columbia, Canada
Bibliographic record
Abstract
Abstract Within an area where the regional climate variability signal is apparent, local factors including location, topography and land characteristics affect hydrological response to the signal. Mountainous areas, such as the Western Cordillera in North America, are expected to possess such local effects. The Fraser River Basin in British Columbia, Canada, contains stations with 40 years of precipitation and discharge records from stations widely distributed across the 217 000 km2 basin. Correlation coefficients were calculated to relate winter precipitation, spring and summer high flow to several climate indices: Pacific Decadal Oscillation (PDO), Pacific‐North American (PNA) and Southern Oscillation Index (SOI). Analyses confirmed that the level of correlation changes during the snowmelt period and does vary locally within the Basin. Correlation of discharge with the indices also changes along the Fraser River, being strengthened or weakened by the influence of its tributaries. These results caution that in hydrologic investigations, (1) even where the region as a whole manifests a strong teleconnection signal, deviation in signal strength within a medium‐sized basin causes local variations in streamflow response to the regional climatic forcing, and (2) the level of correlation attained by streamflow at a basin outlet does not necessarily apply to its tributary sub‐basins. Copyright © 2011 John Wiley & Sons, Ltd.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".