Rob Gilliam

*NOAA/**U.S. EPA*Air Resources Laboratory, Atmospheric Sciences

Modeling Division**National Exposure Research Laboratory

U.S. EPA and WIST

National Oceanic and Atmospheric

Administration (NOAA)

United StatesEnvironmental Protection

Agency (U.S. EPA)

Office of Atmospheric

Research (OAR)

Office of Research and Development

(ORD)

Air Resources Laboratory (ARL)

National Exposure Research

Laboratory (NERL)

Atmospheric Sciences Modeling Division

Dr. S.T. Rao, Director

Partnership

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

CMAQ Modeling System

SMOKE

Anthro and Biogenic Emissions processing

Fifth Generation Mesoscale Model (MM5)

(WRF in 2006)

CMAQ AQ Model-

Chemical-Transport Computations

Met-Chem Interface Processor (MCIP)

Met. data prep

NOAA Weather Observations

EPA Emissions Inventory

Hourly 3-D Gridded Chemical Concentrations

grid cell

36-km MM5165 x 129 x 34

36-km CMAQ148 x 112 x 14

12-km MM5202 x 208 x 34

12-km CMAQ199 x 205 x 14

Domains for Annual Simulations

Example Ozone Forecast

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.

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

Model Evaluation Tools and Techniques

• Actively involved in meteorological model evaluation

• Improvement and development of evaluation methods

• Atmospheric Model Evaluation Tool (AMET)

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

Disclaimer

The 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.