HR: 0800h
AN: A11B-0863    [Abstracts]
TI: A Seasonal Modeling Study of Air Quality in Central California
AU: * Jin, L
EM:
AF: Atmospheric Sciences Department Environmental Energy Technologies Division, Lawrence Berkeley National Laboratory MS-51R0208, Berkeley, CA 94720 United States
AU: Tonse, S
EM:
AF: Atmospheric Sciences Department Environmental Energy Technologies Division, Lawrence Berkeley National Laboratory MS-51R0208, Berkeley, CA 94720 United States
AU: Brown, N J
EM:
AF: Atmospheric Sciences Department Environmental Energy Technologies Division, Lawrence Berkeley National Laboratory MS-51R0208, Berkeley, CA 94720 United States
AU: Steiner, A L
EM:
AF: Department of Environmental Science, Policy and Management, UC Berkeley, Berkeley, CA 94720 United States
AU: Harley, R
EM:
AF: Department of Civil and Environmental Engineering , University of California , Berkeley, CA 94720 United States
AU: Wilczak, J M
EM:
AF: Regional Weather and Climate Applications Division NOAA/Environmental Technology Laboratory, 325 Broadway, Mail Stop: ET7, Boulder, CO 80305 United States
AU: Bao, J
EM:
AF: Regional Weather and Climate Applications Division NOAA/Environmental Technology Laboratory, 325 Broadway, Mail Stop: ET7, Boulder, CO 80305 United States
AU: Michelson, S A
EM:
AF: Regional Weather and Climate Applications Division NOAA/Environmental Technology Laboratory, 325 Broadway, Mail Stop: ET7, Boulder, CO 80305 United States
AB: In the past, photochemical air quality models have usually been applied to air pollution episodes that last for only a few days. There are concerns about the representativeness of such episodes, and about models being tuned to perform well by adjusting input data and model parameters. In our research, we seek a more comprehensive evaluation of air quality model performance, and new insights into questions such as appropriate air pollution control strategies and inter-basin transport of ozone and its precursors, through application of an air quality model to Central California for an entire summer season. Ozone air pollution problems in Central California are severe and not improving. We report results from application of the Community Multi-Scale Air Quality model (CMAQ) to a 15-day period from the summer 2000 Central California Ozone Study. Model inputs were developed that describe variability in atmospheric conditions, and day-specific emission rates from both natural and anthropogenic sources. We assess model's ability for predicting 1-h and 8-h average ozone concentrations, as well as ozone precursors, across a range of days and locations, with significant air quality variations seen in both space and time over the 2-week period. We use evaluation statistics including bias, gross error, and peak prediction accuracy. We also use time series regression to evaluate the model's ability for reproducing observed ozone variability on daily and weekly time scales.
DE: 0345 Pollution: urban and regional (0305, 0478, 4251)
SC: Atmospheric Sciences [A]
MN: Fall Meeting 2005