On the definition of the marginal ice zone: a case study with SAR and passive microwave data
Bibliographic record
Abstract
Abstract Widening and increasing extent of the marginal ice zone (MIZ), a transitional area between the open ocean and the pack ice, underscores the scientific significance of observing the MIZ. In the present study, we employed passive microwave (PM) and synthetic aperture radar (SAR) sea ice concentration (SIC) in the Greenland Sea and Beaufort Sea in November 2021 to detect the MIZ using two different MIZ definitions: SIC threshold-based (MIZ t ) and SIC anomaly-based (MIZ σ ). This study is the first to compare the SIC threshold-based with SIC anomaly-based MIZ definition using two different sources of SIC data. Our findings reveal that the SIC anomaly-based definition delineates a spatially extensive MIZ, capturing SIC variation attributed to sea ice growth. We also found that SAR data, compared to PM data, consistently identifies a broader MIZ region and is less sensitive to the threshold for the SIC anomaly standard deviation, underscoring the importance of selecting the appropriate MIZ definition.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".