Spatial and Temporal Characteristics of the Consecutive Dry Days in Recent 53 Years in Mainland China
Bibliographic record
Abstract
Based on the daily precipitation data from 508 meteorological stations in mainland China from 1960 to 2012,the seasonal variation of consecutive dry days( CDD) was analyzed. The results indicated that regional mean of CDD in winter and spring decreased in the last 53 years,and the decreasing rate in winter was up to-0. 7 d /10 a. The variation trend of CDD was not obvious in summer,but the regional mean of CDD in autumn showed an increasing trend. During 1960-2012,for most parts of mainland China,CDD in spring decreased significantly and the tendencies ranged between-0. 41 d /10 a and 0. 41 d /10 a. In summer,CDD showed decreasing trend in 59% stations and increasing trend in 41% stations. In autumn,69% and 31% meteorological stations presented increasing and decreasing trend,respectively. In winter,most parts of mainland China experienced a significant decrease of CDD,and the tendencies ranged from-0. 62 d /10 a to 0. 44 d /10 a,thereinto,66% stations showed decreasing trend,and 34% stations showed increasing trend.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".