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Recent Enhancements to the Community Multiscale Air Quality Modeling System (CMAQ)
Citation:
Mathur, R., Jon Pleim, B. Murphy, AND W. Appel. Recent Enhancements to the Community Multiscale Air Quality Modeling System (CMAQ). CMAQv5.2 Webinar, N/A, N/A, January 31, 2017.
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:
EPA’s Office of Research and Development, Computational Exposure Division held a webinar on January 31, 2017 to present the recent scientific and computational updates made by EPA to the Community Multi-Scale Air Quality Model (CMAQ). Topics covered included: (1) Improvements to model process representation; (2) Meteorology and connections to chemistry-transport calculations (land surface modeling, lightning assimilation); (3) Enabling consistent urban to hemispheric scale modeling; (4) New chemical mechanisms and updates; (5) Particulate matter composition and important emission sources; (6) Evaluation of model updates; (7) Ongoing research and development; and (8) Model release process and the new CMAQ website.