Meltwater Storage in the firn of Kaskawulsh Glacier, Yukon Territory, Canada
Bibliographic record
Abstract
Abstract. In recent years, the analysis of firn in Greenland, Svalbard, and other high Arctic regions has contributed to the understanding of meltwater retention in firn and its importance to measurements of glacier mass balance. This has provided insight into firn densification processes and meltwater retention. Changes in these attributes can also provide insight into meteorological variability and climate trends. In spring 2018, two firn cores (21 m and 36 m in length) were extracted from the accumulation zone of Kaskawulsh Glacier, St. Elias Mountains, Yukon. The cores were analyzed for ice layer stratigraphy, density, and glaciochemical time series (oxygen isotopes and major ions). Meltwater percolation and refreezing events were evident in the cores. The quantity of ice layers, the presence of liquid water at 34.5 m depth, interpreted as a perennial firn aquifer (PFA), and the altered isotopic and glaciochemical signature all indicate this process. This melt resulted in an estimated surface lowering of 10 ± 0.8 cm/yr between 2005 and 2018. The information gleaned from Kaskawulsh Glacier supports the need for improved and field-validated density assumptions for geodetic mass balance methods.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".