The poster will present the objectives and initial results of a pilot study conducted as a partnership between the U.S. Environmental Protection Agency (U.S. EPA), National Oceanic and Atmospheric Administration (NOAA), and the New York State Department of Environmental Conservation (NYSDEC). The primary objectives of this study are to implement, operate, and evaluate an automated, numerical, model-based air quality forecast system to provide daily predictions of O 3 and PM 2.5 and to assess the integrated use of modeled and observed concentrations to better characterize the spatial and temporal variations of air quality over New York. Based on simulations for summer 2004 and winter 2005, we will present an overview on the operational aspects such as data transfers, computing power, data storage, and scientific questions, such as the merits and demerits of Community Multiscale Air Quality (CMAQ) model-based forecasts in comparison to traditional approaches.