Bibliographic record
Abstract
热带太平洋的厄尔尼诺-南方涛动(El Niño-Southern Oscillation, ENSO)现象是过去几十年里海洋与气候研究的重点. 随着近年来印度洋偶极子模态(Indian Ocean Dipole, IOD)的提出, 热带印度洋中的短期气候变化也逐步被重视. 然而, 人们对这些现象的研究更多的是局限在单个的海盆之内, 而不是将其作为一个整体来思考. 观测表明, 在年际间尺度上, 热带印度洋和热带太平洋的海表温度异常(Sea Surface Temperature Anomaly, SSTA)和海表高度异常(Sea Surface Height Anomaly, SSHA)等物理量的有着很明显的反向变化趋势. 对这种反向变化可以给出一个简单的解释: 由于双圈沃克环流在暖池区幅聚上升, 海表风场在热带印度洋为西风, 在热带太平洋为东风; 它们通过驱动海水的上翻使得热带西印度洋与东太平洋SSTA变冷, SSHA变低, 同时也通过暖水的堆积使得暖池区SSTA升高, SSHA增加. 这样就在整个热带印度洋-太平洋地区形成了一个SSTA和SSHA的三极子结构. 随着热带印度洋-太平洋上空沃克环流圈的增强或减弱, 两个海洋之间的反向梯度关系也会随之做相应的调整, 并通过梯度与沃克环流之间的正反馈作用得以维持. 这一振荡模态被称为印-太三极子(Indo-Pacific Tripole, IPT). 本文将通过资料分析和一个简单的概念模型来讨论IPT模态的发展和变化机制, 并着重考虑ENSO与IOD对IPT模态的影响. 该模型包含了最基本的海洋与大气的物理变量和他们之间的相互作用, 可以为更深层次地理解和研究热带地区短期气候变化提供重要参考.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".