Observations of Coherent L-Band Emission from Snow-Covered Arctic Sea Ice
Bibliographic record
Abstract
Radiometric measurements at L-band (1.4 GHz), collected in the Canadian Arctic in 2024, are used to study which modeling framework best reproduces the observations. While incoherent radiative transfer models are standard for sea ice thickness retrievals, they neglect phase interference effects. However, the observations analyzed here can only be explained when interference phenomena are explicitly included, requiring a coherent approach. To reduce uncertainties and ensure the robustness of the models, a cost function is minimized using an optimization-based method to infer optimal snow and sea ice parameters consistent with the measured brightness temperatures and in situ ancillary data. The results show that the coherent model reproduces the observations substantially better, highlighting the relevance of coherence effects at this low microwave frequency. With these effects measured locally, their cumulative contribution at the scale of satellite footprints may also be non-negligible, requiring further investigation into their potential impact on large-scale retrievals.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".