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Moving Towards Air Quality Models with Chemistry Linked to the Master Chemical Mechanism: CRI Performance in U.S. Regional Models
Citation:
Luecken, D. Moving Towards Air Quality Models with Chemistry Linked to the Master Chemical Mechanism: CRI Performance in U.S. Regional Models. International Conference on Atmospheric Chemical Mechanisms, Davis, CA, December 07 - 09, 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 described implementation of the Common Representative Intermediate (CRI) atmospheric chemistry in CMAQ, a short analysis of its performance in CMAQ relative to other mechanisms and an example of the additional detail it gives us for understanding atmospheric chemical processes.