Retrieval of Ocean Surface Radial Velocities With RADARSAT-2 Along-Track Interferometry
Bibliographic record
Abstract
This work provides a detailed presentation of dualaperture synthetic aperture radar (SAR) data processing scheme for the retrieval of ocean surface radial velocities. This scheme includes processing of raw SAR data, co-registration of alongtrack interferometric samples, magnitude and absolute phase calibration, and coherent averaging (multi-looking). Several approaches for absolute phase calibration are provided and compared. Some of the attempted approaches can potentially be used over open ocean (i.e. in scenes that do not contain any land). Main goal of attempting different approaches for absolute phase calibration was to determine their relative performance, and determine the potential feasibility of some approaches over open ocean. Data processing scheme is applied to a RADARSAT-2 dualchannel MODEX-1 acquisition over a section of Florida Current. For the dataset used in this study, different absolute phase calibration methods yielded similar radial velocity estimates, with relative mean and RMS differences within approximately 0.1 m/s. Estimates from SAR ATI were also compared to estimates from NASAs OSCAR dataset. Comparison of visually identified currents showed close spatial overlap between estimates from the two sources. RMS difference was found to be approximately 0.30 m/s. This difference can be attributed to the physical and temporal differences between the estimates.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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) | 0.000 | 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".