Connection between El Niño Deep Convection and Precipitation in Northeast Brazil
Bibliographic record
Abstract
The indices reflecting the warm or cold phases of the El Niño-Southern Oscillation (ENSO) phenomenon are commonly based on sea surface temperature (SST) anomalies in cleverly chosen sectors in the Tropical Pacific Ocean. These climate indices, used as predictors of remote climate oscillations, have been successful in most studies of the effects of ENSO forcings on drought anomalies or unexpected floods worldwide. However, there is one difficulty that bothers researchers: the diversity of these remote effects. One of the regions of the world that has attracted the attention of scholars of the remote effects of ENSO oscillations is Northeast Brazil. The main reason for this interest is the great vulnerability of this region to droughts due to the social and economic fragilities that have persisted there for more than two centuries. This study proposes the experimental use of essential atmospheric indices, such as convective instability, as indicators of the presence of cumulonimbus in the Tropical Pacific in response to El Niño episodes. It is well known that the remote effects of El Niño events occur due to cumulonimbus formation in the Tropical Pacific in response to the additional supply of heat and humidity in areas with warm surface waters. However, these tropical cumulus clusters respond not only to surface heating but also to other forces associated with atmospheric circulation. This study has shown that such cumulonimbi can form in areas that are slightly apart from the sectors with the greatest surface heating.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 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".