Can fully-focused or unfocused SAR delay doppler altimeter range data provide enhanced detection of coastal currents?
Bibliographic record
Abstract
This study seeks to evaluate the potential of delay doppler altimetry to improve detection of nearshore currents that are common and critical advective pathways within narrow shelf-sea systems. The region of interest here is the Scotian Shelf and, in particular, the coastally trapped Nova Scotia current (NSC). The outer edge of this current resides between 25-50 km from the coast and past efforts using conventional altimeter data have failed to adequately capture expected NSC dynamics. As baseline satellite altimeter data, the study will make use of new high-rate (5-20 Hz) datasets retracked specifically for this region using low resolution mode Cryosat-2, AltiKa, and Jason-2 measurements. These data come from a joint CLS, Environment Canada and Department of Fisheries and Oceans Canada project. Range data will be used to compute sea level anomalies and alongshore geostrophic currents on the Scotian shelf for comparison with along track range data produced using fully-focused and unfocused SAR processing of Cryosat-2 and Sentinel 3 datasets. Past and ongoing in situ hydrographic and current measurement data in the region will be used to provide expected mean and dynamical circulation features from the shelf break up to the coast. Issues under evaluation include improved data recovery nearer to the coast, reduced range noise at scales inside of 20km, differences in SWH and wind estimates, and possible identification of fine-scale signals like internal waves in the FF-SAR data.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".