The DAMOCLES ice buoy drift experiments 2007 and 2008
Bibliographic record
Abstract
Two ice drift buoy experiments were conducted in the framework of DAMOCLES to investigate the atmospheric forcing of sea ice (especially the dynamic forcing by cyclones) and to validate operational weather model analyses. During the DAMOCLES 2007 experiment 16 CALIB (Compact Air-Launch Ice Buoy) buoys were deployed in the central Arctic Ocean within a 400km x 400km array, centered around the French ship TARA. Up to 9 months CALIB buoys delivered data of pressure, temperature and position in about one-hourly intervals. During the DAMOCLES 2008 experiment 7 PAWS (Polar Area Weather Station) buoys were deployed in the Canadian part of the Arctic Ocean north of Ellesmere Island in April 2008. Two further PAWS were installed in autumn 2008 in the Beaufort Sea and the Laptev Sea. Since then the PAWS deliver data of pressure, air and ice temperature, relative humidity, wind speed and direction and position in three-hourly intervals. Buoy trajectories and measured data are presented. Wind forcing is quantified by the wind/drift relationship and the cross correlation of ice drift and wind. Comparisons of the buoy data with the operational analyses of ECMWF, DWD and HIRLAM models are shown.
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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 | 0.000 | 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 | 0.000 |
| 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".