The Wolf Creek Research Basin, Yukon Territory: 26-years of hydrologic change
Bibliographic record
Abstract
Increasing temperatures and changing precipitation patterns are global consequences of climate change, which are amplified in northern environments. Cold environments are particularly sensitive to warming due to the importance of sub-zero temperatures, which influence frozen ground status and precipitation type. The objective of this research is to evaluate the controls on the timing, rate, and volume of the major hydrological fluxes within the Wolf Creek Research Basin (WCRB), Yukon Territory and to identify any long-term changes. WCRB is a long-term hydrological observatory established in 1993 to evaluate cold region hydrological processes. Within WCRB, three long-term meteorological stations at different elevations with total precipitation measurements and several stream gauges allow a long-term (26 year) evaluation of water balance components. Increases in temperature and precipitation magnitude are consistent with climate models including CIMP6 models. There has also been a significant increase in the number of high intensity precipitation days (primarily in June, July, and August). Fall and winter discharge increased and there was an increase in mean annual baseflows. The proportion of discharge output during freshet (April 1st – July 1st) has not changed, but the timing of peak flow has shifted from late-May to mid-June. This research provides a unique opportunity to study long-term change while recognizing short-term natural variability in hydrologic data. Understanding the mechanisms within catchments will allow for a stronger interpretation of the response of catchments to changing climate regimes which can have diverse impacts on local ecosystems and prevailing geohazards in northern environments.
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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 | 0.000 | 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".