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Linking the ETA Model with the Community Multiscale Air Quality (CMAQ) Modeling System: Ozone Boundary Conditions

  • P. C. Lee
  • J. E. Pleim
  • R. Mathur
  • J. T. McQueen
  • M. Tsidulko
  • G. DiMego
  • M. Iredell
  • T. L. Otte
  • G. Pouliot
  • J. O. Young
  • D. Wong
  • D. Kang
  • M. Hart
  • K. L. Schere
Conference paper

Until the recent decade, air quality forecasts have been largely based on statistical modeling techniques. There have been significant improvements and innovations made to these statistically based air quality forecast models during past years (Ryan et al., 2000). Forecast fidelity has improved considerably using these methods. Nonetheless, being non-physically-based models, the performance of these models can vary dramatically, both spatially and temporally. Recent strides in computational technology and the increasing speed of supercomputers, combined with scientific improvements in meteorological and air quality models has spurred the development of operational numerical air quality prediction models (e.g., Vaughn et al., 2004, McHenry et al., 2004).

Keywords

Convection Available Potential Energy Global Forecast System National Weather Service Global Forecast System Model Global Forecast System Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • P. C. Lee
    • 1
  • J. E. Pleim
    • 2
  • R. Mathur
    • 3
  • J. T. McQueen
    • 4
  • M. Tsidulko
    • 1
  • G. DiMego
    • 4
  • M. Iredell
    • 4
  • T. L. Otte
    • 3
  • G. Pouliot
    • 3
  • J. O. Young
    • 3
  • D. Wong
    • 5
  • D. Kang
    • 3
  • M. Hart
    • 1
  • K. L. Schere
    • 3
  1. 1.Scientific Applications International CorporationCamp Springs
  2. 2.National Oceanic and Atmospheric AdministrationResearch Triangle Park
  3. 3.NERLU.S. Environmental Protection AgencyResearch Triangle ParkUSA
  4. 4.NOAANWS / National Centers for Environmental PredictionCamp Springs
  5. 5.Lockheed Martin Information TechnologyResearch Triangle Park

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