2001: Eastern North American transport climatology during high- and low-ozone days. Atmos
Bibliographic record
Abstract
A synoptic scale transport climatology during days with high and low ozone concentrations was established for "ve summers from 1991 to 1995 over eastern North America. The airmass transport patterns were estimated from source impact regions derived from forward airmass histories. Daily maximum ozone concentrations were used to de"ne locally and regionally high- (90th percentile) and low- (10th percentile) ozone days. Examination of transport during locally high-ozone days revealed that there is poor transport in the central part of the domain, i.e. from Tennessee to northern Indiana, and in the South from Texas to South Carolina due to stagnating or recirculating air masses. However, high ozone concentrations over the western and northern sections of the domain occurred during strong and persistent southerly and westerly winds, respectively. In addition, on average, high ozone concentration surrounding the central part of the domain were associated with transport from this region. These results support the notion that ozone exceedances in the central and Southeastern US are predominately ‘homegrownawhile the western and northern section of the domain are also in#uenced by regional transport. In contrast, on low-ozone days, the transport was predominantly from outside (e.g., Canada and the Gulf of Mexico) into the Eastern US. The transport conditions during regionally high-ozone days were characterized by slow meandering transport over Kentucky, Tennessee, and West Virginia, with a strong clockwise transport around this region of stagnation. ( 2001 Elsevier Science Ltd. All rights reserved.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".