Analysis of Aerosols in the Asian Monsoon Anticyclone as Observed by the Atmospheric Chemistry Experiment
Bibliographic record
Abstract
Abstract During the Asian summer monsoon season, pollutants from the lower troposphere are transported through deep convection to the upper troposphere and lower stratosphere. Surface pollutants such as CO are transported upward and trapped in the anticyclone during this unique atmospheric phenomenon. Associated with the anticyclone is a layer of enhanced aerosols located near the tropopause often referred to as the Asian tropopause aerosol layer (ATAL). The chemical and physical properties of aerosols in the ATAL are not yet fully understood as direct observations of the aerosols are limited. The Atmospheric Chemistry Experiment (ACE) is a satellite mission that provides high‐resolution infrared observations of atmospheric trace gases and aerosols. ACE observes chemical isolation in the anticyclone and identifies three main types of aerosols in the ATAL: solid ammonium nitrate (AN), sulfate aerosols, and ice. ACE observes four main features in the spectrum of AN; the previously known 831 cm −1 feature and the first‐ever identification of the spectral bands at 1,390–1,450 cm −1 , 3,080 cm −1 , and 3,220 cm −1 . Simulated spectra reproduce the 831 cm −1 , 3,080 cm −1 , and 3,220 cm −1 features well but the 1,390–1,450 cm −1 spectral feature is poorly reproduced. In rare circumstances, ACE observes aerosols similar to AN far outside of the monsoon region. In these aerosols the 3,080 cm −1 and 3,220 cm −1 features align well with AN observed in the ATAL. The 831 cm −1 feature is suppressed and shifted to 829 cm −1 , suggesting that AN aerosols outside the ATAL are liquid, or potentially an alternative phase of AN.
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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 | 0.000 | 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".