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NEW DEVELOPMENTS IN THE COMMUNITY MULTISCALE AIR QUALITY (CMAQ) MODEL
Citation:
Pleim, J E., S J. Roselle, J O. Young, G L. Gipson, AND R Mathur. NEW DEVELOPMENTS IN THE COMMUNITY MULTISCALE AIR QUALITY (CMAQ) MODEL. Presented at 2004 Models-3 Conference, Chapel Hill, NC, October 18 - 20, 2004.
Impact/Purpose:
The objectives of this task are to continuously develop and improve EPA's mesoscale (regional through urban scale) air quality simulation models, such as the Community Multiscale Air Quality (CMAQ) model, as air quality management and NAAQS implementation tools. CMAQ is a multiscale and multi-pollutant chemistry-transport model (CTM) that includes the necessary critical science process modules for atmospheric transport, deposition, cloud mixing, emissions, gas- and aqueous-phase chemical transformation processes, and aerosol dynamics and chemistry. To achieve the advances in CMAQ, research will be conducted to develop and test appropriate chemical and physical mechanisms, improve the accuracy of emissions and dry deposition algorithms, and to develop and improve state-of-the-science meteorology models and contributing process parameterizations.
Description:
CMAQ model research and development is currently following two tracks at the Atmospheric Modeling Division of the USEPA. Public releases of the community model system for research and policy analysis is continuing on an annual interval with the latest release scheduled for August of 2004. The publicly released system includes the latest advancements in scientific modeling research and improvements for model efficiency. The other CMAQ track is for the National Air Quality Forecast system, which is a joint NOAA/USEPA project to provide nationwide operational model forecasts of ozone and aerosols. The AQF system includes an optimized version of CMAQ coupled to NCEP's North American Mesoscale forecast model, which is currently the Eta model. The version CMAQ used in the AQF system has been specifically tailored to the forecast application and NCEP's operational computing environment. The two tracks have been quite synergistic for development and evaluation. This presentation will provide an overview of the latest developments in both the community system and the AQF system. Ongoing and future work will also be outlined.
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.