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The Community Multi-scale Air Quality (CMAQ) Modeling System: Past, Recent Developments, and New Directions
Citation:
Mathur, R. The Community Multi-scale Air Quality (CMAQ) Modeling System: Past, Recent Developments, and New Directions. NCAR Advanced Study Program Summer Colloquium on Advances in Air Quality Analysis and Prediction: Th, Boulder, CO, July 25 - August 05, 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:
Every year since 1966 the NCAR/ASP has hosted a summer colloquium designed for graduate students favoring subjects that represent new or rapidly developing areas of atmospheric science research. The NCAR/ASP Summer Colloquium brings together lecturers and graduate students for two weeks of classroom presentations, tutorials, and other forms of instruction and interaction. The 2016 colloquium is titled: Advances in Air Quality Analysis and Prediction: The Interaction of Science and Policy. The author has been invited by the National Center for Atmospheric Research (NCAR) to give lectures and participate in discussions on Air Quality Modeling and Forecasting at their Advanced Study Program (ASP) summer colloquium. This presentation reviews the CMAQ modeling system and presents various applications to help familiarize the colloquium attendees with the modeling system and its use.
