HR: 09:45h
AN: U51A-06    [PDF]
TI: Monitoing PM2.5 from Space
AU: * Chu, D
EM: achu@climate.gsfc.nasa.gov
AF: NASA GSFC code 913/SSAI, NASA Goddard Space Flight Center, Greenbelt, MD 20771 United States
AU: Remer, L
EM: remer@climate.gsfc.nasa.gov
AF: NASA GSFC code 913, NASA Goddard Space Flight Center, Greenbelt, MD 20771 United States
AU: Szykman, J
EM: james.j.szykman@nasa.gov
AF: Office of Air Quality Planning and Standards, US EPA, Hampton, VA 23681 United States
AU: Kaumfan, Y
EM: kaufman@climate.gsfc.nasa.gov
AF: Office of Air Quality Planning and Standards, US EPA, Hampton, VA 23681 United States
AU: Neil, D
EM: d.o.neil@express.larc.nasa.gov
AF: NASA LaRC, NASA Langley Research Center, Hampton, VA 23681 United States
AU: Pierce, B
EM: Robert.B.Pierce@nasa.gov
AF: NASA LaRC, NASA Langley Research Center, Hampton, VA 23681 United States
AB: MODIS sensors onboard the EOS Terra and Aqua satellites launched in 1999 and 2002 provide the revolutionized perspectives to study the Earth systems. MODIS ability to derive the first aerosol product over land has advanced our understanding of aerosols into the source regions. The analysis of MODIS-derived columnar aerosol loading has shown good correlation (correlation coefficient ~0.8-0.9) with EPA PM2.5 (particulate matter with particle size less than 2.5 mm) at surface in metropolitan areas (e.g., New York City, Chicago, Houston, etc.) and also over broad regions including 11 states and Washington DC. At present, the EPA, along with Regional Planning Organizations, and state and local governments use a multitude of decision support tools to assess, control, and report the nature of air pollution related to PM. However, the current existing air quality decision processes solely rely on urban scale model and ground-based network. Using MODIS aerosol data can aid significantly in tracking the movement of pollutants, which can be used as a proxy of PM2.5 for regions without ground measurements. NASA (GSFC and LaRC) is collaborating with EPA and NOAA in providing MODIS aerosol data to benchmark PM2.5 forecast in the East US in the summer 2003. This activity is to prototype similar activities in the following years using MODIS direct broadcasting to study transport (national, international, or intercontinental) issues and assess performance effectiveness of existing air quality regulations. Improvements of MODIS aerosol algorithm are planned to achieve better spatial resolution for urban pollution and health-related studies.
DE: 0300 ATMOSPHERIC COMPOSITION AND STRUCTURE
DE: 0305 Aerosols and particles (0345, 4801)
SC: U
MN: 2003 Fall Meeting