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LINKING ETA MODEL WITH THE COMMUNITY MULTISCALE AIR QUALITY (CMAQ) MODELING SYSTEM: OZONE BOUNDARY CONDITIONS
Citation:
Lee, P., J E. Pleim, R Mathur, J. McQueen, M. Tsidulko, G. DiMego, M. Iredell, T L. Otte, G Pouliot, J O. Young, D. C. Wong, D Kang, M. Hart, AND K L. Schere. LINKING ETA MODEL WITH THE COMMUNITY MULTISCALE AIR QUALITY (CMAQ) MODELING SYSTEM: OZONE BOUNDARY CONDITIONS. Presented at 27th NATO/CCMS International Technical Meeting on Air Pollution Modeling and its Application, Banff, AB, CANADA, October 25 - 29, 2004.
Impact/Purpose:
The objectives of this task include: (1) to continuously evaluate and analyze the forecast results to provide diagnostic information on model performance and inadequacies to guide further evolution and refinements to the CMAQ model, and (2) extending the utility of the daily air quality forecast model data being produced by NOAA's National Weather Service (NWS) as part of a NOAA/EPA collaboration in air quality forecasting, to EPA mission-oriented activities. These objectives include developing and maintaining a long-term database of air quality modeling results (ozone and PM2.5), performing periodic analysis and assessments using the data, and making the air quality database available and accessible to States, Regions, RPO's and others to use as input data for regional/local scale air quality modeling for policy/regulatory purposes.
Description:
A prototype surface ozone concentration forecasting model system for the Eastern U.S. has been developed. The model system is consisting of a regional meteorological and a regional air quality model. It demonstrated a strong prediction dependence on its ozone boundary conditions. This study investigated the sensitivity of several schemes in providing the boundary condition. The schemes range from climatologic data to real time global general circulation model derived ozone concentrations. Result confirmed the strong dependence between the forecasted surface ozone concentration and the upwind ozone boundary condition. Furthermore, it indicated that refined coupling treatment between the three models is required to make proper derivation and usage of the global model based ozone concentration boundary condition.
The research presented here was performed under the Memorandum of Understanding between the U.S. Environmental Protection Agency (EPA) and the U.S. Department of Commerce's National Oceanic and Atmospheric Administration (NOAA) and under agreement number DW13921548. Although it has been reviewed by EPA and NOAA and approved for publication, it does not necessarily reflect their policies or views.