Validation and production of RADARSAT‐1 derived ice‐motion maps in the North Water (NOW) polynya, January ‐ December 1998
Bibliographic record
Abstract
Monitoring ice motion may provide insight into the atmospheric and oceanic forces acting on ice motion and thus the mechanisms that contribute to polynya dynamics. A study of ice kinematics in the North Water (NOW) region was performed using time sequential and spatially overlapping RADARSAT‐1 ScanSAR Wide images (January to December 1998) processed by the Canadian Ice Service (CIS) Ice Tracking Algorithm (Tracker). The objectives of this research were to: 1) validate the NOW region ice motions derived using Tracker; 2) create monthly image‐maps that present ice speeds and directions over the NOW region for an entire year (January to December 1998); 3) compare these results to previous ice motion studies done in the NOW region; and 4) develop initial insights into relations between derived ice motion and latent and sensible heat mechanisms in the NOW Polynya. Tracker ice motions were validated using in situ ice beacons deployed between April and November 1998. Tracker magnitude and direction coefficients of determination (R2) were 0.93 and 0.79 respectively, with standard errors of estimate of 3.6 km in magnitude and 38.8° in direction. The monthly ice motion maps describe the annual evolution of the polynya quite accurately and compare well to other studies. High levels of ice export are found which supports the theory that winds or ocean currents continually remove ice from the polynya as it forms. A northward import of ice into the polynya along the Greenland coast shows the recycling of ice into the polynya. Evidence of oceanic (sensible) heat contributing to the open water of the polynya was not evident using the Tracker ice motion methods.
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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 | 0.001 | 0.003 |
| 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 | 0.001 | 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".