Research in this area is concerned with regional air quality issues such as:
Current modeling practices often do not capture variations in pollutants such as ozone—they represent a limited sample of the diverse meteorology and human behavior that affect air pollution.
Improved modeling of regional air quality will help understand variability, reveal patterns of behavior, and pollutant transport issues. Controlled experiments in lab and field can help validate improved models.
The goal is for improved regional models to contribute to development of an integrated plan to provide most effective emission reduction strategies.