Modulation of the Atmospheric Heat Source Over the Tibetan Plateau on the Intra-seasonal Oscillation of Summer Precipitation in the Yangtze-Huaihe River Basin
Bibliographic record
Abstract
Based on the daily precipitation from China Meteorological Administration and the daily atmospheric circulation data from the Japanese 55-year Reanalysis (JRA-55) from 1979 to 2018, this paper analyzes the evolution of 10-30-day intra-seasonal oscillation (ISO) of the precipitation in the Yangtze-Huaihe River Basin (YHRB) and the modulation of the atmospheric heat source over the Tibetan Plateau (TP) with different intensity on the peak and trough values of the precipitation in the YHRB. When the atmospheric heating is strong on the southern flank of TP (STP), the lower-level anomalous low strengthens on the STP, which leads to convergence of airflow in the lower troposphere, ascent and divergence in the upper troposphere. Thus, the intense pumping action on the STP results in the convergence of water vapour from the Bay of Bengal to the STP. Due to the high altitude of TP, the water vapour turns eastward and increases the convergence and ascent of water vapour in the YHRB, which is conductive to enhancement of the peak values or weakening of trough values of the ISO of precipitation in the YHRB. When the STP heating is weak, the lower-level anomalous low decreases on the STP, leading to divergence in the lower troposphere, descent and convergence in the upper troposphere. Then the convergence of water vapour from the Bay of Bengal to the STP is suppressed and the transport of water vapour to the YHRB is interrupted, thus the peak values of precipitation are weakened or the trough are enhanced.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".