Validating the Variability of Snow Accumulation and Melting From GPS-Reflected Signals: Forward Modeling
Bibliographic record
Abstract
Abstract—The variability of snow accumulation and melting is one of the most important interactions of the Earth’s surface with atmosphere through energy transmission and mass balance. In this paper, the effects of snow accumulation and melting together with bare soil and fixed snow depth on the reflected global position-ing system (GPS) signals are investigated using GPS antenna gains and multipath signal. The reflected GPS signals are modeled and employed to analyze the interactions of snow accumulation, snow melting, bare soil, and fixed snow depth at BAKE and KUUJ GPS stations in Northern Canada. The results show the clear indepen-dency of the snow accumulation and melting variations with bare soil and fixed snow depth, which are validated from GPS-reflected signals as well. The modeled reflected GPS signals indicate the higher frequency of snow accumulation and snow melting than that of bare soil and fixed snow depth, while the estimated power
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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 | 0.000 |
| 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".