HR: 0830h
AN: A21A-22    [Abstracts]
TI: Possibilities and Challenges in Using Satellite Data for PM2.5 Forecasts
AU: * Chin, M
EM: mian.chin@nasa.gov
AF: NASA Goddard Space Flight Center, Laboratory for Atmospheres, Greenbelt, MD 20771 United States
AU: Yu, H
EM: hyu@climate.gsfc.nasa.gov
AF: GEST, UMBC and NASA GSFC, Laboratory for Atmospheres, Greenbelt, MD 20771 United States
AU: Chu, D A
EM: achu@climate.gsfc.nasa.gov
AF: JCET, UMBC and NASA GSFC, Laboratory for Atmospheres, Greenbelt, MD 20771 United States
AB: Satellite remote sensing has brought our observation of the earth's atmosphere into a new era, and remote sensing capability could lead to a quantum leap in our ability of air quality monitoring and prediction. In terms of aerosols, the most common quantity from satellite retrieval is the atmospheric column aerosol optical thickness (AOT), and the most common quantity indicating air quality at the surface is the concentration of PM2.5. We present here the relationship between the column AOT and the surface PM2.5 from a global aerosol model GOCART and from satellite and surface measurements. We will discuss the possibilities and challenges in using satellite data for PM2.5 forecasts, and if model-satellite assimilation can improve the forecast quality.
DE: 0305 Aerosols and particles (0345, 4801)
DE: 0345 Pollution--urban and regional (0305)
SC: Atmospheric Sciences [A]
MN: 2005 Joint Assembly