Dynamics of a small surge-type glacier, St. Elias Mountains, Yukon Territory, Canada: characterization of basal motion using 1-D geophysical inversion
Bibliographic record
Abstract
The dynamics of a small surge-type glacier are investigated as part of a study to characterize glacier response to climate in southwest Yukon Territory, Canada.DEMs of the glacier surface and bed are constructed from surface elevation and ice thickness data.Measured surface velocities are higher than expected for a surge-type glacier in its quiescent phase over the upper 3500 m of the 5 km-long glacier, but much lower than typical surge velocities.Flowline basal velocities are reconstructed from the measured surface velocities using a 1-D geophysical inverse model.Control tests are used to validate the inversion scheme, and sensitivity tests are performed to evaluate the influence of uncertain parameters.Inversion of the measured surface velocities reveals an unusually high contribution of basal motion to the overall motion.Based on these results and several other lines of evidence, we suggest that the glacier may be undergoing a slow surge.iiiFirst of all, I would like to thank my supervisor, Gwenn Flowers, for her guidance and support during the three years I spent at SFU. Gwenn not only taught me a great deal about glaciology, she also has been a great advisor and friend.I am grateful for her outstanding guidance in all academic matters, and for the friendly and stimulating environment she has created throughout my studies.Her constant encouragements, her constructive criticism and her open-door policy were very much apreciated.I am also grateful to my other comittee member, Andrew Calvert, for his time and his constructive feedback on my work and to Martin Truffer for reviewing this thesis.I would like to thank all members of the SFU glaciology group for their advice on matters ranging from programming to conference presentations and for creating an enjoyable
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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 | 0.001 | 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) | 0.000 | 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 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".