Meteorological conditions and anomalies during the Intercontinental Chemical Transport Experiment–North America
Bibliographic record
Abstract
Meteorological conditions are described during the Intercontinental Chemical Transport Experiment–North America (INTEX‐NA) that was conducted over the United States during July and August 2004. Relatively zonal flow dominated the contiguous United States during the first 2 weeks of the mission, while a series of large amplitude troughs traversed the eastern half of the country during the final 4 weeks. These troughs were accompanied by cold fronts reaching the Gulf of Mexico, an uncommon occurrence during August. Frontal passages over the northeast were somewhat above average, but the short time interval between passages precluded the formation of stagnant high‐pressure centers containing abundant pollution. Atmospheric chemistry during INTEX‐NA was heavily influenced by record‐breaking fires over Alaska and western Canada. Persistent high pressure over Alaska provided ideal conditions for the wildfires and for transporting their burning by‐products southeastward toward the INTEX domain where they were sampled frequently by INTEX aircraft. Forward trajectories and satellite imagery showed that the plumes later were carried to parts of Europe, Africa, and even the Arctic. Deep convection and lightning were important factors during INTEX‐NA. Cloud‐to‐ground (CG) lightning data show that horizontal patterns and numbers of lightning flashes during INTEX‐NA are similar to those of 2003 and 2005. Statistics derived from 10 day backward trajectories indicate that the DC‐8 often sampled lightning influenced air.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".