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U.S. EPA and WIST

U.S. EPA and WIST. Rob Gilliam *NOAA/**U.S. EPA *Air Resources Laboratory, Atmospheric Sciences Modeling Division **National Exposure Research Laboratory. National Oceanic and Atmospheric Administration (NOAA). United States Environmental Protection Agency (U.S. EPA).

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U.S. EPA and WIST

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  1. U.S. EPA and WIST Rob Gilliam *NOAA/**U.S. EPA *Air Resources Laboratory, Atmospheric Sciences Modeling Division **National Exposure Research Laboratory

  2. National Oceanic and Atmospheric Administration (NOAA) United StatesEnvironmental Protection Agency (U.S. EPA) Office of Atmospheric Research (OAR) Office of Research and Development (ORD) Partnership National Exposure Research Laboratory (NERL) Air Resources Laboratory (ARL) Atmospheric Sciences Modeling Division Dr. S.T. Rao, Director

  3. Potential WIST Related Research and Applications • Community Multi-scale Air Quality (CMAQ) forecast model • U.S. EPA observation network with meteorological observations • Weather Research and Forecast model (WRF) development • Model evaluation and application

  4. CMAQ Modeling System Fifth Generation Mesoscale Model (MM5) (WRF in 2006) NOAA Weather Observations EPA Emissions Inventory Met-Chem Interface Processor (MCIP) Met. data prep SMOKE Anthro and Biogenic Emissions processing grid cell CMAQ AQ Model- Chemical-Transport Computations Hourly 3-D Gridded Chemical Concentrations

  5. Domains for Annual Simulations 36-km MM5 165 x 129 x 34 36-km CMAQ 148 x 112 x 14 12-km MM5 202 x 208 x 34 12-km CMAQ 199 x 205 x 14

  6. Example Ozone Forecast

  7. U.S. EPA Meteorological Observations • Clean Air Status and Trends Network (CASTNet) • Approximately 75 sites across the U.S. • Meteorology observations include: wind, temperature, precipitation, relative humidity and solar radiation • Observations are not currently collected in real-time, but may be in the future.

  8. Weather Research and Forecasting (WRF) model development • A member of the WRF development working group • Involved in WRF chemistry modeling, land-surface modeling, boundary layer modeling and data assimilation • Currently implementing new physics schemes in WRF • Working on coupling WRF with CMAQ

  9. Model Evaluation Tools and Techniques • Actively involved in meteorological model evaluation • Improvement and development of evaluation methods • Atmospheric Model Evaluation Tool (AMET)

  10. U.S. EPA Benefits from WIST • Improved weather forecasts and dissemination of weather products to the surface transportation sector will mitigate hazardous spills/releases and polluting materials that result from accidents or road maintenance • More efficient travel will reduce emissions to the atmosphere and potentially improve air quality

  11. DisclaimerThe research presented here was performed under the Memorandum of Understanding between the U.S. Environmental Protection Agency (EPA) and the U.S. Department of Commerce’s National Oceanic and Atmospheric Administration (NOAA) and under agreement number DW 13921548. This work constitutes a contribution to the NOAA Air Quality Program.

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