Author(s)

J.S. Chang, C.-H. Lu & G.S. Wojcik

Abstract

The USEPA recommends that specific types and ranges of statistics be used for evaluating regional and urban air quality models. The implementation of these statistical standards implicitly requires a large database composed of observation and model prediction pairs. While the use of such a database may reduce the effect of uncertainties in the model predictions and the observations on the computed statistics, it also may mask the true performance skill of a model. In addition, these standards are based on historical model performances and so may not reflect the current capability of air quality models. In this study, the utility and meaning of such standards are explored by comparing ozone predictions from several forecast procedures to obse

Keywords