Uncertainty of central China summer precipitation and related natural internal variability under global warming of 1 to 3°C
Bibliographic record
Abstract
Abstract This study examines the response of summer precipitation over central China to global warming via the 50‐member large‐ensemble simulations conducted with the Canadian Earth System Model Version 2. It is found that the model ensemble mean summer precipitation stagnates under warming of 1 to 3°C, while precipitation increases rapidly over central China after 3°C of warming. This phenomenon indicates a strong nonlinear relationship between precipitation change and global warming, and the effects due to natural internal variability are more substantial than those of CO2 forcing in the early warming stage. We further examine the factors responsible for the large uncertainty of the precipitation projection over central China under warming of 1 to 3°C. For the members producing a precipitation increase over central China, the geopotential height and sea level pressure changes show a positive North Atlantic Oscillation–like trend pattern over the North Atlantic and a southeastward propagating atmospheric teleconnection from the North Atlantic to China. The atmospheric teleconnection from the mid–high‐latitude Atlantic to China provides diverging winds in the upper troposphere, causing ascending motion, and contributes to increased precipitation over central China. Besides, an El Niño‐like trend pattern of sea surface temperature (SST) is apparent in the preceding winter, which could contribute to the formation a low‐level anticyclone trend over the western North Pacific (WNP) in the subsequent summer via modulating the SST anomalies in the Indian and Atlantic oceans. The northward water vapour transport in the western part of the anticyclone also favours increased precipitation in central China. The above processes also apply to decreased precipitation, except with opposite signs of anomalies. This study highlights the combined contributions of mid–high‐latitude teleconnection and the WNP anticyclone related to tropical Pacific SST to the uncertainty in the projection of precipitation over central China.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".