Analyzing Sources of Inaccuracy in Ocean Surface Current Estimation from Shipborne Marine X-Band Radar Data
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The extraction of sea surface current from marine X-band radar data significantly affects subsequent oceanic parameter determination. Therefore, assessing the influence of diverse factors on the accuracy of current parameter estimation is critical. In this paper, motion compensation is used to optimize the current estimation results derived by the Polar Current Shell (PCS) and the normalized scalar product (NSP) algorithms. The data collected by Defence Research and Development Canada between November 24 and December 5, 2008 was used for analysis. Root Mean Square Deviation (RMSD) and correlation analysis results for both current speed and direction obtained by PCS and NSP are presented. This study explores the intricate relations between measurement errors and precipitation, wind speed, vessel speed, vessel speed change and heading change. Our analysis indicates that the accuracy of current measurement significantly decreases under precipitation and lower wind speed conditions.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it