A Performance Evaluation of the 2004 Release of Models-3 CMAQ

  • Brian K. Eder
  • Shaocai Yu
Conference paper

The Clean Air Act and its Amendments require that the U.S. Environmental Protection Agency (EPA) establish National Ambient Air Quality Standards for O3 and particulate matter and to assess current and future air quality regulations, designed to protect human health and welfare. Air quality models, such as EPA’s Models-3 Community Multi-scale Air Quality (CMAQ) model, provide one of the most reliable tools for performing such assessments. CMAQ simulates air concentrations and deposition of numerous pollutants on a myriad of spatial and temporal scales to support both regulatory assessment as well as scientific studies conducted by research institutions. In order characterize its performance and to build confidence in the air quality regulatory community, CMAQ, like any model, needs to be evaluated using observational data. Accordingly, this evaluation compares concentrations of various species (SO4, NO3, PM2.5, NH4, EC, OC, and O3 (not available at press time)), simulated by CMAQ with data collected by the Interagency Monitoring of PROtected Visual Environments (IMPROVE) network, the Clean Air Status and Trends Network (CASTNet) and the Speciated Trends Network (STN).


Root Mean Square Error Ratio Line Mean Bias Normalize Mean Bias Normalize Mean Error 
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Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Brian K. Eder
    • 1
  • Shaocai Yu
    • 2
  1. 1.National Oceanic and Atmospheric AdministrationNERL, U.S. Environmental Protection AgencyRTPUSA
  2. 2.Atmospheric Modeling DivisionU.S. EPAResearch Triangle ParkUSA

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