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Annual Application of U.S. EPA= == =s Third-Generation Air Quality Modeling System over the Continental United States  

 
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As part of a series of modeling applications in progress, the objective of this study was to conduct an annual simulation over the continental United States using a comprehensive air quality modeling system, the U.S.EPA’s Models-3/Community Multi-scale Air Quality (CMAQ) modeling system. This work assessed the feasibility of using the Models-3/CMAQ system for applications over an entire year on criteria pollutants such as PM2.5 and ozone and related regional haze issues. The Models-3/CMAQ simulation covered the entire continental United States using a 36-km grid resolution throughout the whole year of 1996. The Mesoscale Model Version 5 (MM5) was used to provide meteorological input fields for the model simulations. The Sparse Matrix Operator Kernel Emissions (SMOKE) Modeling System was used to prepare emission inputs based on the recently updated National Emission Trend (NET) inventory. It was demonstrated in this study that the Models-3/CMAQ system was capable of simulating multiple air pollutants for an entire year reasonably well and within an acceptable timeframe. The preliminary results showed that in the summer months when sulfate PM was the dominant PM2.5 species, the model simulated PM2.5 fairly well. However, in the winter months when nitrate PM became a significant part of PM2.5, the model overpredicted PM2.5, possibly due to overprediction of nitrate PM. This could be due to overestimates of ammonia emissions in the winter months; on-going emission inventories and modeling studies indicate the likelihood of such overestimates. The simulation results also showed that in the eastern U.S., sulfate PM was the dominant PM 2.5 species, while in the western U.S., nitrate PM was a significant PM 2.5 constituent; this was generally consistent with observed data. The next step in this series of modeling efforts is to evaluate the model simulation results against observations such as IMPROVE and CASTNET data and against model results from other models such as the Regulatory Modeling System for Aerosols and Deposition (REMSAD).

 
Affiliation Author(s) 
U.S. Environmental Protection Agency Carey Jang
U.S. Environmental Protection Agency Patrick Dolwick
U.S. Environmental Protection Agency Norman Possiel
U.S. Environmental Protection Agency Brian Timin
U.S. Environmental Protection Agency Joseph Tikvart

Details
CNumber: ACE 2001 ORLANDO, FLORIDA
Publication Type: Proceedings
Publication Date: June 2001

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