HR: 09:45h
AN: A51G-07    [Abstracts]
TI: Regional Chemical Forecast for ICARTT Field Experiment: Evaluation of the Performance
AU: * Carmichael, G R
EM: gcarmich@engineering.uiowa.edu
AF: Center for Global and Regional Environmental Research, University of Iowa, Iowa City, IA 52242 United States
AU: Tang, Y
EM: ytang@cgrer.uiowa.edu
AF: Center for Global and Regional Environmental Research, University of Iowa, Iowa City, IA 52242 United States
AU: Chai, T
EM: tchai@cgrer.uiowa.edu
AF: Center for Global and Regional Environmental Research, University of Iowa, Iowa City, IA 52242 United States
AU: Thongboonchoo, N
EM: nthongbo@cgrer.uiowa.edu
AF: Center for Global and Regional Environmental Research, University of Iowa, Iowa City, IA 52242 United States
AU: Horowitz, L W
EM: larry.horowitz@noaa.gov
AF: NOAA Geophysical Fluid Dynamics Laboratory, Princeton University, Princeton, NJ 08542 United States
AU: Levy, H
EM: hl@gfdl.gov
AF: NOAA Geophysical Fluid Dynamics Laboratory, Princeton University, Princeton, NJ 08542 United States
AU: Sandu, A
EM: asandu@cs.vt.edu
AF: Department of Computer Science, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061 United States
AU: Mena, M M
EM: mamena@cgrer.uiowa.edu
AF: Center for Global and Regional Environmental Research, University of Iowa, Iowa City, IA 52242 United States
AU: Adhikary, B
EM: adhikary@cgrer.uiowa.edu
AF: Center for Global and Regional Environmental Research, University of Iowa, Iowa City, IA 52242 United States
AU: Avery, M A
EM: m.a.avery@larc.nasa.gov
AF: NASA Langley Research Center, MS 483, Hampton, VA 23681 United States
AU: Ryerson, T B
EM: tryerson@al.noaa.gov
AF: NOAA Aeronomy Laboratory, 325 Broadway, Boulder, CO 80303 United States
AU: Thompson, A M
EM: anne.m.thompson@nasa.gov
AF: NASA Goddard Space Flight Center, MC 916, Greenbelt, MD 20771
AB: The ICARTT (International Consortium for Atmospheric Research on Transport and Transformation) field experiment was performed in July and August, 2004. For this campaign, we designed a regional chemical forecast system including two domains for tracer forecasting and 3 nested full-chemical forecasts (60km, 12km and 4km horizontal resolutions). In this forecast activity, we implemented real-time coupling with MOZART global chemical forecast through the lateral and top boundary conditions. Model forecasts were extensively compared to aircraft, satellite, surface and ship measurements. The 12km nested forecast also participated in real-time model inter-comparisons for NOAA AIRMAP surface observations. Forecasts source-tagged CO tracers provided further insights into airmass origin and characteristics. The multi-scale forecasts showed different results, and this forecast difference reflects the variations caused by the performances of meteorological model, emissions and photochemical behaviors in different scales. The forecast over surface site near strong sources, such as power plants, shows the most obvious sensitivity to model resolution. Several case studies illustrated the model performance under different scenarios and corresponding influencing factors. In addition 4dVar assimilation techniques were developed and used during the experiment. Results showing the effect of data assimilation of surface, aircraft and ozonesonde data on the prediction skill are also presented.
DE: 3337 Numerical modeling and data assimilation
DE: 0345 Pollution--urban and regional (0305)
DE: 0365 Troposphere--composition and chemistry
SC: Atmospheric Sciences [A]
MN: 2004 AGU Fall Meeting