Dynamic Statistics and Diagnostic Analysis for Air-sea Integrated System in the Tropical Pacific Ocean in May
Bibliographic record
Abstract
The CEOF analysis is used to make the dynamic statistics and diagostics of the integrated system which consists of the wind field in the atmosphere and the upper-layer current fields in the waters of the tropical Pacific Ocean in May,and to reveal not only the relation between the circulation abnomality of both the atmosphere and the ocean,and the Meiyu rainfall in the Yangtze River Basin but also the related interannual and interdecadal vaviations.As the results show,the oceanic structure corresponding to a certain EOF mode is greatly different from the atmospheric structure corresponding to the same mode.The equatorial trapped-wave feafures can be found in the oceanic current field corresponding to the mode,and the current strength becomes greatly decreased in the waters northward from 5°N and southward from 5°S,In the contrast with the current,the wind seems less changed in the atmosphere.The fluctuating amplitude of the time coefficient corresponding to the 1st EOF mode has becomed greater since 1994,indicating the stronger climatic variability.The obvious interannual and interdecadal variation can be found in the time cofficient fluctuation respectively corresponding to the 1st mode and the 2nd mode.The 1st mode is colsely related to the Meiyu rainfall abnormality in the Yangtze River Basin and the meridional circulation abnormality in the atmosphere,while the 2nd EOF mode is related to the ENSO variation and the zonal circulation abnormality in the atmosphere.Kuroshio flows at a greater speed in the sea area further away from 5°N,the current field keeps steady,and its speed does not have much abnormality.
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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 | 0.001 |
| 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".