HR: 08:30h
AN: A21F-03    [Abstracts]
TI: An Operational Evaluation of the Eta-CMAQ Air Quality Forecast Model over the Continental US Domain during Summer 2005
AU: * Kang, D
EM: kang.daiwen@epa.gov
AF: Atmospheric Sciences Modeling Division, National Exposure Research Laboratory, US EPA (on assignment from Science and Technology Corporation, 10 Basil Sawyer Dr., Hampton, VA 23666), 109 T.W. Alexander Dr., RTP, NC 27711 United States
AU: Mathur, R
EM: mathur.rohit@epa.gov
AF: Atmospheric Sciences Modeling Division, National Exposure Research Laboratory, US EPA (on assignment from Air Resources Laboratory, National Oceanic and Atmospheric Administration), 109 T.W. Alexander Dr., RTP, NC 27711 United States
AU: Yu, S
EM: yu.shaocai@epa.gov
AF: Atmospheric Sciences Modeling Division, National Exposure Research Laboratory, US EPA (on assignment from Science and Technology Corporation, 10 Basil Sawyer Dr., Hampton, VA 23666), 109 T.W. Alexander Dr., RTP, NC 27711 United States
AU: Schere, K
EM: schere.kenneth@epa.gov
AF: Atmospheric Sciences Modeling Division, National Exposure Research Laboratory, US EPA (on assignment from Air Resources Laboratory, National Oceanic and Atmospheric Administration), 109 T.W. Alexander Dr., RTP, NC 27711 United States
AB: The National Oceanic and Atmospheric Administration (NOAA) and the United States Environmental Protection Agency (EPA), are collaborating on the design and implementation of an Air Quality Forecasting (AQF) system. This program, linking NOAA's Eta meteorological model with EPA's Community Multiscale Air Quality (CMAQ) model, became fully operational in September of 2004 and has been providing forecasts of ozone (O3) concentrations over the northeastern United States. In August 2005, the operational guidance was expanded to include majority of the eastern U.S. Starting June 2005, developmental air quality forecast testing was initiated over the continental U.S. (CONUS). Due to the spatial differences in the atmospheric dynamical and chemical characteristics, the CONUS domain is split into six regions for the model performance evaluation purpose. Both discrete and categorical metrics for maximum 1-hr and maximum 8-hr O3 forecast are applied to each of the regions. The model performance over space and time for each of the regions is compared and analyzed using observations from EPA's AIRNOW dataset. Statistics of monthly summary as well as of episodic events will be presented based on both maximum 1-hr and maximum 8-hr O3 concentrations. The impacts of model enhancements on surface-level O3 forecast performance will be discussed. 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 DW13921548. This work constitutes a contribution to the NOAA Air Quality Program. Although it has been reviewed by EPA and NOAA and approved for publication, it does not necessarily reflect their policies or views.
DE: 0341 Middle atmosphere: constituent transport and chemistry (3334)
DE: 0345 Pollution: urban and regional (0305, 0478, 4251)
DE: 0368 Troposphere: constituent transport and chemistry
DE: 3334 Middle atmosphere dynamics (0341, 0342)
DE: 3355 Regional modeling
SC: Atmospheric Sciences [A]
MN: Fall Meeting 2005