Machine learning-based ozone and PM2.5 forecasting: Application to multiple AQS sites in the Pacific Northwest
This study develops and evaluates a machine learning-based forecasting system for ozone and PM2.5 at multiple AQS sites in the Pacific Northwest, demonstrating improved accuracy and reliability over existing CTM-based forecasts.
Feb 24, 2023