Investigating emerging boulder impacts on snowpack ablation
Bibliographic record
Abstract
The impact of emergent boulders within a thinning and melting snowpack remains poorly understood. Our research examines how boulders, exposed by melting snowpack influence the spatial and temporal patterns of snow ablation in the Shár Shaw Tagà Valley, Yukon, Canada. A multimethod approach, combining thermal infrared time-lapse imaging, drone-based photogrammetry, and terrestrial laser scanning, was used to monitor snow surface temperature, elevation changes, and melt variability. This approach underscores the importance of comprehensive techniques in assessing the spatial and temporal variability of snow surface temperature and topography. Results indicate that boulders accelerate snowmelt in their vicinity during the ablation season, with snow surface thermal characteristics shaped by local terrain and meteorological conditions. The fastest rates of ablation occur during periods of mild weather with no precipitation. These findings highlight the role of boulders as micro-scale heat sources that can modify energy fluxes and influence broader melt patterns in subarctic alpine environments. Understanding these processes is essential for improving snowmelt modelling and predicting hydrological changes in mountain regions affected by climate change. Profiles of snow in the vicinity of a boulder in a subarctic mountain catchment in the St. Elias Mountains, Yukon, Canada. In mountain regions, boulders emerge from the snowpack as the surrounding snow melts, potentially enhancing the rate of snowmelt in their immediate vicinity. We evaluate this effect by using high spatial and temporal measurement techniques to measure snow elevations around an emerging boulder and compare these profiles to a model of what should be expected. The Figure shows the snow profile at the beginning (blue line) and at the end (light blue line) of the nine-day observation period. The blue shaded area delineates the difference in snowmelt between what we observed and what would be expected, demonstrating the boulder feedback on snowmelt. • Emergent boulders accelerate snowmelt by modifying local energy fluxes. • This study uses a multi-method approach, integrating thermal imaging, LiDAR, and photogrammetry. • Snow ablation near boulders peaks under mild, clear weather conditions. • Boulders store and release heat, enhancing melt beyond radiative effects.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| 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 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".