Climate Evolution Characteristics of Eastern Tibetan Plateau for the Last 55 Years
Bibliographic record
Abstract
According to the climate data from 1958 to 2012 of 50 meteorological offices in eastern Tibetan Plateau area,Using climate trend rate,cumulative departure method,Mann-Kendall mutation test,Morlet wavelet,Inverse distance weighting methods to analyze the trend,characteristics and spatial distribution of monthly average air temperature,precipitation,sunshine hours and wind speed in eastern Tibetan Plateau in recent 55 years. Results indicates that: 1 The annual average air temperature showed a significant rising trend at the rate of 0. 25 ℃ ·( 10a)-1,annual total precipitation showed a significant rising trend at the rate of 6. 24 mm·( 10a)-1,annual sunshine hours showed a significant decreasing trend at the rate of-15. 24( 10a)-1,average wind speed showed a significant decreasing trend at the rate of-0. 06 m·s-1·( 10a)-1in eastern Tibetan Plateau in recent 55 years.On the whole,the eastern Tibetan Plateau climate present a clear trend of warm-wet,but the direction and the rate of the regional climate change has obvious difference affected by the different natural environment. For example,the climate in southern Gansu,presents an obvious warm and dry phenomenon. 2 Annual average air temperature occurred significant elevated in 1993 in eastern Tibetan Plateau,annual precipitation occurred significant rising in1984,annual average wind speed and sunshine time occurred significant decrescence in 1992 and 2001,respectively. 3 The first primary change cycle of annual average air temperature,precipitation,sunshine hours and wind speed is about 13 years. The climate change cycle of the eastern Tibetan Plateau has a strong consistency. It is of great help to the predict of climate change in eastern Tibetan Plateau. 4 In eastern Tibetan Plateau,the average air temperature showed a increase trend gradually from northwest to southeast in space,its changing trend is given priority to increasing. Annual precipitation showed a increase trend gradually from northwest to southeast,its changing trend is given priority to increasing. Annual sunshine hours showed a decreasing trend gradually from northwest to southeast,its changing trend is given priority to decreasing. The spatial change trend of average wind speed is complex relatively,the change tendency is given priority to decreasing,but its spatial distribution is not obvious.
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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".