Spatio-temporal variation of aerosols in ENSO events over Western India using satellite data
Bibliographic record
Abstract
The spatial variation of the average aerosol optical depth (AOD) at 555 nm obtained from the multi-angle imaging spectroradiometer satellite sensor over India for 2000–2016 illustrates that Western India shows a relatively lower aerosol loading compared with the northern and eastern parts of India. Among the seasonal variations of the average AOD, spring shows a higher aerosol loading, particularly over Jodhpur (0.518) and Kota (0.518), and fall shows the least. In spring, these variations may be due to the meteorological conditions that bring a large quantity of dust and other types of aerosols in the atmosphere of Western India. Temporal variation of AOD indicates that in 2006, abrupt change in AOD (<0.2) was observed over all the cities. Among all cities, Mumbai shows strong increasing trends during 2000–2016 with a Sen’s slope of 0.009. Overall, the study concludes that compared with La Niña years, El Niño years correspond to a higher aerosol loading over Western India, primarily over Surat (0.357), Mumbai (0.349) and Jodhpur (0.334).
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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) | 0.000 | 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".