HR: 1340h
AN: A33C-1421    [Abstracts]
TI: Global Monitoring of Atmospheric Pollutants from the Aura Satellite
AU: * Ahmad, S
EM: Suraiya.Ahmad@gsfc.nasa.gov
AF: NASA GES DISC, Code 610.2, NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States
AU: Leptoukh, G
EM: Gregory.Leptoukh@nasa.gov
AF: NASA GES DISC, Code 610.2, NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States
AU: Johnson, J
EM: James.E.Johnson@gsfc.nasa.gov
AF: NASA GES DISC, Code 610.2, NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States
AU: Farley, J
EM: John.Farley@gsfc.nasa.gov
AF: NASA GES DISC, Code 610.2, NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States
AU: Kempler, S
EM: Steven.Kempler@nasa.gov
AF: NASA GES DISC, Code 610.2, NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States
AB: Atmospheric measurements of O3, CO, NO2, SO2, HCHO, Aerosol and other pollutants are routinely made by the OMI, MLS, HIRDLS and TES instruments flown on the EOS Aura satellite since its launch in July 2004. These measurements provide information on the vertical and horizontal distribution of atmospheric pollutants. High concentrations of these pollutants come principally from motor vehicle exhaust, coal and oil combustion, refineries, and biomass burning. These gases play a major role in the formation of unhealthy ground level ozone (or smog) and can trigger serious respiratory problems. The convective transport of these gases, smoke and dust also pollute the upper troposphere and lower stratosphere where the residence time of these pollutants is relatively long and atmospheric winds transport these pollutants to far distances across the oceans and continents. This presentation provides some examples of how Aura data can be used in monitoring air quality by identifying sources of air pollution and understanding the distribution of these pollutants as they get transported extensive distances from their source. In this study we have also used the Aerosol Index data from TOMS, CO data from MOPITT and AIRS, Aerosol data from MODIS, Aerosol layer height information from CALIPSO, and wind information from the NCEP/NCAR reanalysis. This study uses the web based data exploration and analysis tool Giovanni developed at the NASA Goddard Earth Sciences Data Services and Information Center (GES DSIC). Giovanni provides easy access to satellite data, eliminating the need to download large data sets and thus saving the user time. Giovanni capabilities include on- line animations of 2D maps, time-series plots (including statistics), several combinations of 2D cross-section maps (latitude/longitude/height/time), scatter plots, correlation maps, and collocated subsets of the data along CALIPSO tracks.
UR: http://giovanni.gsfc.nasa.gov/
DE: 0305 Aerosols and particles (0345, 4801, 4906)
DE: 0345 Pollution: urban and regional (0305, 0478, 4251)
DE: 1610 Atmosphere (0315, 0325)
DE: 1640 Remote sensing (1855)
DE: 3311 Clouds and aerosols
SC: Atmospheric Sciences [A]
MN: 2007 Fall Meeting