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Recent Enhancements to the Community Multiscale Air Quality Model (CMAQ)
Citation:
Mathur, R. Recent Enhancements to the Community Multiscale Air Quality Model (CMAQ). UK-US meeting on Air Quality Modelling and Exposure Science, Kings College, London, UK, September 29 - 30, 2016.
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:
This presentation overviews recent updates to the CMAQ modeling system. The presentation will be given as part of the information exchange session on Regional Air Pollution Modeling at the UK-US Collaboration Meeting on Air Pollution Exposure Science.
URLs/Downloads:
https://pure.york.ac.uk/portal/en/activities/ukus-meeting-on-air-quality-modelling-and-exposure-science(51477c86