C‐band backscatter from a complexly‐layered snow cover on first‐year sea ice
Bibliographic record
Abstract
Abstract We present a case study of observed and modelled C‐band microwave backscatter signatures for a complexly‐layered snow cover on smooth, land‐fast, first‐year sea ice. We investigate how complexly‐layered snow affects the backscatter, by comparing signatures with those for a simple snow cover, and through model sensitivity analysis. Backscatter signatures are obtained using a surface‐based scatterometer, on sea ice in Hudson Bay, Canada. Coincident in situ snow and ice geophysical measurements, and on‐ice meteorological observations, describe the snow cover formation and structure. A multilayer snow and ice backscatter model is used to iteratively add and subtract components of the complex snow cover to assess their impacts on the overall backscatter. For incidence angles between 20° and 70°, the backscatter from a complex snow cover on smooth first‐year sea ice is significantly higher than backscatter from a simple snow cover on similar sea ice. Sensitivity analysis suggests that rough ice layers formed within the complex snow cover and those superimposed at the sea ice interface are the physical mechanisms that affect an increase in surface and volume backscattering. This has implications for sea ice mapping, geophysical inversion and snow thickness studies. Copyright © 2014 John Wiley & Sons, Ltd.
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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) | 0.011 | 0.003 |
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; both teacher heads agree on what is shown here.
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".