You are here:
Has the Performance of Regional-Scale Photochemical Modelling Systems Changed over the Past Decade?
Citation:
Hogrefe, C., J. Ku, G. Sistla, A. GILLILAND, J. IRWIN, P. S. Porter, E. Gego, P. Kasibhatla, AND S.T. RAO. Has the Performance of Regional-Scale Photochemical Modelling Systems Changed over the Past Decade? Chapter 4, Air Pollution Modeling and Its Application XIX. Springer, New York, NY, , 394-403, (2008).
Impact/Purpose:
National Exposure Research Laboratory′s (NERL′s) Atmospheric Modeling Division (AMD) conducts research in support of EPA′s mission to protect human health and the environment. AMD′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. AMD 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 AMD 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:
This study analyzed summertime ozone concentrations that have been simulated by various regional-scale photochemical modelling systems over the Eastern U.S. as part of more than ten independent studies. Results indicate that there has been a reduction of root mean square errors (RMSE) and an improvement in the ability to capture ozone fluctuations stemming from synoptic-scale meteorological forcings between the earliest seasonal modelling simulations and more recent studies.