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Evolution of Air Quality Model at the US EPA
Citation:
Wong, David-C. Evolution of Air Quality Model at the US EPA. 2018 Joint International Conf, Beijing, CHINA, May 21 - 23, 2018.
Impact/Purpose:
The National Exposure Research Laboratory (NERL) Computational Exposure Division (CED) develops and evaluates data, decision-support tools, and models to be applied to media-specific or receptor-specific problem areas. CED uses modeling-based approaches to characterize exposures, evaluate fate and transport, and support environmental diagnostics/forensics with input from multiple data sources. It also develops media- and receptor-specific models, process models, and decision support tools for use both within and outside of EPA.
Description:
At the US EPA, we have developed an air quality model, CMAQ, in the past 20+ years. Throughout the years, the model has been upgraded with respect to advancement of science. We have extended the model from regional to hemispheric. We have coupled it with meteorological model, WRF to form a two-way coupled model with aerosol radiative direct effect. Lately we have been piloting with the idea to couple with a global meteorological model, MPAS-A.
