Accelerating River Discharge in High Mountain Asia
Why this work is in the frame
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Bibliographic record
Abstract
Abstract High Mountain Asia (HMA) plays a crucial role in Asian hydrology—its vast snow and glacier‐covered landscape significantly influences downstream river water supply for billions of people. Understanding the spatiotemporal pattern of river discharge in HMA aids effective water resource management and infrastructure planning. In this study, we used a combination of hydrologic modeling and assimilation of remotely sensed discharge from Landsat and PlanetScope imagery to investigate how daily river discharge has changed for more than 114,000 reaches across HMA between 2004 and 2019. We observed significant increasing trends in river discharge for 11,113 reaches (∼10%), particularly in smaller rivers of the Syr Darya, Indus, Yangtze, and Yellow River basins. The ratio of total glacial melt and precipitation received by individual river reach showed an average significant increase of 2.2% per year, particularly in the Syr Darya, Amu Darya and Western Indus rivers. Across HMA, our results also indicate that 8% of river reaches with either planned and existing hydropower plants or dams experienced a statistically significant average increase of 2.9% per year in stream power. These findings illustrate the rapidly changing patterns of river discharge and stream power in HMA.
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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 | 0.000 |
| 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 it