Citation:

Hogrefe, C., G. Pouliot, J. Xing, J. Flemming, S. Roselle, R. Mathur, AND S. Galarini. Global and Regional Modeling of Long-Range Transport and Intercontinental Source-Receptor Linkages. Chapter 40, Air Pollution Modeling and its Application XXIV. Springer International Publishing AG, Cham (ZG), Switzerland, , 245-250, (2016).

Impact/Purpose:

The National Exposure Research Laboratory’s Atmospheric Modeling Division (AMAD) conducts research in support of EPA’s mission to protect human health and the environment. AMAD’s research program is engaged in developing and evaluating predictive atmospheric models on all spatial and temporal scales for forecasting the Nation’s air quality and for assessing changes in air quality and air pollutant exposures, as affected by changes in ecosystem management and regulatory decisions. AMAD is responsible for providing a sound scientific and technical basis for regulatory policies based on air quality models to improve ambient air quality. The models developed by AMAD are being used by EPA, NOAA, and the air pollution community in understanding and forecasting not only the magnitude of the air pollution problem, but also in developing emission control policies and regulations for air quality improvements.

Description:

In this study, we compare air quality over North America simulated by the C-IFS global model and the CMAQ regional model driven by boundary conditions from C-IFS against surface and upper air observations. Results indicate substantial differences in model performance for surface ozone between the two models. Above the boundary layer, differences are least pronounced in the free troposphere but increase in the upper troposphere and lower stratosphere. In addition, we also compare the impacts of perturbed emissions in East Asia and North America on air quality over North America simulated by CMAQ and C-IFS.

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