Modeling of high‐latitude spring freshet from AMSR‐E passive microwave observations
Bibliographic record
Abstract
Snowmelt runoff in high latitudes has significant impacts on global climatic and hydrologic systems. Snowmelt timing and snow water equivalent (SWE) from the Advanced Microwave Scanning Radiometer for EOS (AMSR‐E) are inputs to the new flux‐based SWEHydro model to simulate the spring streamflow without meteorological data for high‐latitude, snow‐dominated drainages. The model was developed for the Ross River (7250 km2) and tested on the Pelly River (49,000 km2), nested tributaries to the Yukon River. The model uses four parameters: snowmelt rate during and after the melt transition (as defined by passive microwave observations), and flow timing during and after the melt transition. A normalized mismatch function was used to calculate the error compared with observed discharge. Curves were ranked by lowest error in freshet timing, peak timing, and magnitude. Melt timing is a good predictor of freshet timing across years and basins. The system is most sensitive to the flow timing after the transition.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".