Validation of the Surface Velocity Field of Mountain Glaciers from Its_Live V2 with in Situ GPS Data
Bibliographic record
Abstract
Glacier velocity is an important parameter that provides insight into the dynamic behavior of glaciers and their response to climate change. The NASA MEaSUREs Intermission Time Series of Land Ice Velocity and Elevation (ITS_LIVE) project provides global glacier surface velocities. However, the accuracy of glacier velocity obtained from ITS_LIVE Version 2 (V2) has yet to be fully validated over mountain glaciers. In this study, we validated the ITS_LIVE V2 against in-situ GPS data at three locations: the Grosser Aletsch Glacier in Switzerland, as well as the Kaskawulsh and Lowell Glaciers in the Yukon region, Canada. We compared the ITS_LIVE V2 and GPS datasets by spatially and temporally aligning them and applying various statistical metrics. For future work we plan to expand the validation analysis for additional locations and time periods.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".