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14-Day PM2.5 and O3 Forecasting over Eastern China Using a Hybrid CNN-Transformer Architecture Driven by Multilevel Meteorological Fields
ACS journal article presenting a 14-day forecasting approach for PM2.5 and O3 over Eastern China using a hybrid CNN–Transformer driven by multilevel meteorological fields. Published 2026-09-15.
Categories: environment-and-climate, science-and-space, technology, public-health
Generated scores
Scores are based on the cited reporting and use a 1–10 scale. Read the methodology.
- Confidence
- 6/10
- Geographic reach
- 3/10
- Global importance
- 3/10
- Impact magnitude
- 3/10
- Positivity
- 7/10
- Urgency
- 1/10
Why it matters
Presents a forecasting method relevant to air quality monitoring in Eastern China.

