Reversal Trends in Shallow‐Soil Temperature Over the Qinghai‐Tibet Plateau During 1950–2014
Bibliographic record
Abstract
Abstract Soil temperature changes over the Qinghai‐Tibet Plateau (QTP) exert considerable influence on regional climate. Here, we identify a distinct reversal from cooling during 1950–1983 (−0.169°C decade −1 ) to significant warming during 1984–2014 (0.388°C decade −1 ), exceeding the global average by 29%–87%. The early cooling period was mainly driven by interactions between greenhouse gases (GHG) and aerosols (AER), with AER exerting a dominant cooling influence. After 1984, the GHG contribution increased from 11.2%–29% to 40%–47.9%, leading to accelerated warming. The influence of interactions was strongly modulated by the relative dominance of GHG and AER, acting as a critical factor in the reversal and amplification of shallow‐soil temperature trend across the QTP. These findings highlight the sensitivity of high‐altitude soil thermal regimes to shifts in anthropogenic forcing.
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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".