Change Trends and Causes in Sunshine Duration and Visibility over Yunnan-Guizhou Plateau in Recent 45 Years
Bibliographic record
Abstract
Using the observed data of sunshine duration,total cloud cover and visibility at 184 stations over the Yunnan-Guizhou Plateau (YGP) from 1961\_2005,the long-term trends of sunshine duration,lower-level water vapour in cloud cover,dry visibility (DV) and dry extinction coefficient over the YGP are analyzed.The result shows that when the cloud cover and water vapour content in midand lower-levels over the YGP have no obvious changes,the 85% stations appear the annual sunshine duration decreasing,and their reduced amount is between 12.2 and 173.7 h·(10a)-1.The result of Mann-Kendall test shows that there are 63.7% stations to appear abrupt change in the stations of sunshine duration decreasing.The abrupt changes start from 1970s,and main in 1980s\_1990s.The decreasing trend has been no obvious since the 21 st century.The annual average of DV decreases from 34 km in 1960s to 27 km at present.The analyses of cloud cover,upper-level water vapour and visibility show the increasement of troposphere aerosol and polluter concentration over the YGP is the main reason that lead to sunshine duration reduction.
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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".