The Role of Englacial Hydrology in the Filling and Drainage of an Ice‐Dammed Lake, Kaskawulsh Glacier, Yukon, Canada
Bibliographic record
Abstract
Outburst floods from ice‐marginal lakes are poised to become more prevalent in a warming climate. As glaciers thin and tributaries detach, water can be impounded in these unstable lakes at valley confluences. To characterize the role of the little‐studied englacial hydrological system during an outburst flood cycle, we deployed a variety of geophysical and hydrometeorological instruments in and around an ice‐marginal lake dammed by the Kaskawulsh Glacier, Yukon, Canada, to capture its 2017 filling and drainage. The subaerial lake reached a maximum volume of 9.9 m on 17 August before draining over the course of 19 days. During lake filling, abrupt changes in ice shelf uplift rates are associated with the formation of faults and fractures. These hydromechanical interactions are closely linked to a redistribution of englacial water as evidenced by fluctuations in shallow borehole water pressures, and changes in radar internal reflection power. Water balance calculations reveal that the subaerial, subglacial, and englacial reservoirs respectively store 20 (17–23)%, 40 (25–50)%, and 40 (30–60)% of water in the catchment at peak lake level. The calculated englacial storage volume implies saturated porosities up to 4–10% locally or 2–4% catchment‐wide. The englacial system is therefore both volumetrically important and influenced by the hydromechanical interactions between the lake and glacier. Its spatial extent and storage capacity may play a role in lake drainage initiation, modulation of the flood hydrograph, and lake refilling.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".