Status of Arctic Sea Ice and Atmospheric Circulation during the period of Chinese Fourth Arctic Research Expedition
Bibliographic record
Abstract
Based on the data from National Sea Ice Data Center (NSIDC), we presented the Arctic sea ice extent and concentration during the Fourth Chinese Arctic Research Expedition 2010, and analyzed the corresponding atmospheric circulation using NCEP/NCAR reanalysis data. It was found that the positive dipole anomaly caused the increase of ice melt rates in June and August. The ice extent in June of this year reached the minimum of historical records in June. The melt rate was reduced in July due to the control of low pressure. In August, leads and polynyas presented in large area spanning the North Pole from Pacific Ocean to Atlantic Ocean where the ice concentration is lower than 80%. We therefore made the conclusion that the ice extent and concentration were significantly affected by the atmospheric circulation. Additionally, we also pointed out that the earlier clearing of sea ice along the Northwest Passage was caused by the abnormally higher temperature during springtime in the Canadian Arctic area.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".