A Simple Study on Relation of Winter-Spring Greenland Sea Ice Chang with Air Temperature/Precipitation in Early Summer of China
Bibliographic record
Abstract
The winter-spring mean sea ice extent oscillations nearby Greenland island and their relationships to surface air temperature and precipitation in early summer of China have been examined in the present paper using the GISST sea ice extent dataset released by Hadley center, UK, and NCEP/NCAR 40-year reanalysis as well as the recorded surface air temperature and rainfall in China, empirical orthogonal function (EOF) analysis and wavelet analysis, etc. The results point out that the sea ice extent oscillations on the west and east sides of Greenland island show inverse variation with distinct interannual and interdecadal circles. The winter-spring sea ice extent oscillation over Greenland-Norwegian Sea is positively correlated to June surface air temperature to the north and rainfall to the south along Yangtze River in China, whereas is negatively correlated to the reverse and vice versa to sea ice extent over Davis Strait-Labrador sea. The composed analyses based on the NH 500 hPa general circulation show that the winter-spring sea ice extent oscillations nearby Greenland island are in contact with the persistent Arctic polar vortex and northern hemisphere blocking high anomalies. The sea ice extent oscillations are one of factors to affect precipitation and surface air temperature in early summer of China.
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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".