Ice surface temperature, albedo, and surface elevation change of glaciers and ice caps of the Queen Elizabeth Islands, Nunavut, Canada, 1995-2015.
Bibliographic record
Abstract
Inter-annual variability in glacier and ice cap surface mass balance in the Queen Elizabeth Islands (QEI), Arctic Canada, is driven primarily by variability in summer melt. Mean summer (June-August) QEI glacier surface temperatures (LSTs) and shortwave broadband black-sky surface albedo (BSA) are determined from NASA’s Moderate Resolution Spectroradiometer (MODIS) for the period 2000(01)-2015 and provide the first near-complete picture of LST and BSA change for all glacier covered surfaces in the QEI. Between 2000 and 2015, mean summer LSTs increased at an average rate of 0.06 ± 0.04 °C yr-1, for a total increase of nearly 1°C. Most of this surface warming occurred between 2007 and 2012 when mean summer near-surface (2 m) and upper-air (700 hPa) temperatures were 1.0-1.2°C higher than the 1948-2015 mean. Over a similar period (2001-2015), the mean summer BSA for glaciated surfaces south of 80°N decreased by 0.057. Overall the 15-year record of mean summer BSA is negatively correlated (r = -0.71, p<0.2) with the 15 year record of mean summer LST, although local clusters of positive correlations were observed at high elevations in eastern Ellesmere Island. The observed positive ice-albedo feedback accelerates rates of melt and mass loss, and repeat airborne laser altimetry measurements show widespread thinning (surface lowering) across glaciated surfaces in the QEI since 1995. Rates of thinning, averaged for 50 m elevation bins, were more than three times larger from 2005/06 to 2012/14 than during the previous two pentads. Comparisons of dh/dt with MODIS-derived mean summer LST and BSA measurements and surface longitudinal strain rates, computed from RADARSAT- and LANDSAT -derived surface velocities for the period 2000-2012/14, indicate that QEI surface elevation changes were driven primarily by changes in climate except along most fast-flowing outlet glaciers where ice dynamics appear to have been a dominant forcing on observed dh/dt.
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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 | 0.000 |
| 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 | 0.001 |
| 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".