17.1A Overview and Evaluation of the Community Multiscale Air Quality Model Version 5.2

Thursday, 26 January 2017: 1:30 PM
4C-3 (Washington State Convention Center )
K. Wyat Appel, EPA, Research Triangle Park, NC; and J. E. Pleim, R. Mathur, J. Bash, and D. J. Luecken

The Community Multiscale Air Quality (CMAQ) model is a state-of-the-science air quality model that simulates the emission, transport and fate of numerous air pollutants, including ozone and particulate matter. The Computational Exposure Division (CED) of the U.S. Environmental Protection Agency develops the CMAQ model and periodically releases new versions of the model that include bug fixes and various other improvements to the modeling system. In late 2016 or early 2017, CMAQ version 5.2 will be released. This new version of CMAQ will contain important updates from the current CMAQv5.1 modeling system, along with several instrumented versions of the model (e.g. decoupled direct method and sulfur tracking). Some specific model updates include the implementation of a new wind-blown dust treatment in CMAQv5.2, a significant improvement over the treatment in v5.1 which can severely overestimate wind-blown dust under certain conditions. Several other major updates to the modeling system include an update to the calculation of aerosols; implementation of full halogen chemistry (CMAQv5.1 contains a partial implementation of halogen chemistry); the new carbon bond 6 (CB6) chemical mechanism; updates to cloud model in CMAQ; and a new lightning assimilation scheme for the WRF model which significant improves the placement and timing of convective precipitation in the WRF precipitation fields. Numerous other updates to the modeling system will also be available in v5.2. Several annual, and numerous episodic, CMAQv5.2 simulations will be performed to assess the impact of these improvements on the model results will be presented, along with a base evaluation of the performance of the CMAQv5.2 modeling system against available surface and upper-air measurements available during the time period simulated.
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