Abstract
Researchers who perform air quality modeling studies usually do so on a regional scale. Typically, the boundary conditions are generated by another model which might have a different chemical mechanism, spatial resolution, and/or map projection. Hence, a necessary conversion/interpolation takes place which introduces additional error. In a broader sense, air pollution is a global issue, thus, limited area modeling on the regional scale is not well suited to represent long-range transport from key source regions in other parts of the world. We have developed a prototype system to link the Model for Prediction Across Scales—Atmosphere (MPAS-A) with the Community Multiscale Air Quality (CMAQ) model to address these shortcomings. Pollutant transport is conducted within MPAS-A, rather than in CMAQ, to provide consistency with the meteorological processes. A coupler has been constructed to facilitate data exchange between the two models. Initial test simulations show reasonable results when compared with observational data.
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Wong, D. et al. (2020). A Proof-of-Concept for Linking the Global Meteorological Model, MPAS-a with the Air Quality Model, CMAQ. In: Mensink, C., Gong, W., Hakami, A. (eds) Air Pollution Modeling and its Application XXVI. ITM 2018. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-22055-6_6
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DOI: https://doi.org/10.1007/978-3-030-22055-6_6
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