HR: 0800h
AN: A11B-0882    [Abstracts]
TI: The Ozone Story: Using extensive ICARTT measurements and air quality models to improve ozone budgets in North America.
AU: * Mena-Carrasco, M A
EM: marcelo-mena@uiowa.edu
AF: The Center for Global and Regional Environmental Research, 401 IATL, Iowa City, IA 52242
AU: Carmichael, G R
EM: gcarmich@engineering.uiowa.edu
AF: The Center for Global and Regional Environmental Research, 401 IATL, Iowa City, IA 52242
AU: Tang, Y
EM: ytang@cgrer.uiowa.edu
AF: The Center for Global and Regional Environmental Research, 401 IATL, Iowa City, IA 52242
AU: Thongbongchoo, N
EM: nthongbo@cgrer.uiowa.edu
AF: Dept. of Chemical Engineering Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Chalongkrung Road, Ladkrabang, bk 10520 Thailand
AU: Chai, T
EM: tianfeng-chai@uiowa.edu
AF: The Center for Global and Regional Environmental Research, 401 IATL, Iowa City, IA 52242
AU: Campbell, E
EM: cae@engineering.uiowa.edu
AF: The Center for Global and Regional Environmental Research, 401 IATL, Iowa City, IA 52242
AU: Horowitz, L W
EM: larry.horowitz@noaa.gov
AF: Geophysical Fluid Dynamics Laboratory/NOAA, Princeton University, P.O. Box 308, Princeton, nj 08542 United States
AB: During the ICARTT/NEAQS-2K4 field campaign a series of regional chemical transport models were used to predict air quality for flight planning purposes. STEM-2K3, the University of Iowa model, showed a persistent bias in predicting high ozone concentrations for the lower troposphere, and low ozone concentrations for the upper troposphere, while having lower bias in primary pollutants such as SO2, CO, and NO, while using the EPA NEI1999. A study was carried out exploring the reasons of this high bias, by analyzing the effect of using different emissions inventories, ozone deposition velocities, VOC speciation, meteorological factors, the effect of model resolution and boundary conditions, and the propagation of biases through reactions that affect the tropospheric ozone budget. The present study takes advantage of the multiple datasets available in stationary and mobile platforms to dissect the chemistry of ozone production. Using the EPA NEI 2001 in comparison to NEI 1999 emissions inventory decreases the high ozone bias from 10 to 4 ppb (around 10% decrease), while decreasing the bias of CO, SO2, and NOy in 25, 41, and 65% respectively when comparing modeled and measured WP3 aircraft data under 1km with a 12km horizontal model resolution.
UR: http://nas.cgrer.uiowa.edu/ICARTT/icartt-2k4.html
DE: 0345 Pollution: urban and regional (0305, 0478, 4251)
DE: 0365 Troposphere: composition and chemistry
DE: 0368 Troposphere: constituent transport and chemistry
DE: 3333 Model calibration (1846)
DE: 3355 Regional modeling
SC: Atmospheric Sciences [A]
MN: Fall Meeting 2005