2007 AGU Fall Meeting, December 10-14,San Francisco, CA
Global Monitoring of Atmospheric Pollutants from the Aura Satellite
S. Ahmad, G. Leptoukh, J. Johnson, J. Farley, S. Kempler
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.
In this presentation we provide some examples of the transport of these pollutants from their source to long distances in order to improve our understanding of the causes of poor air quality on a regional and global scale. In addition to Aura data, we have 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.
In this study we have used the web based data exploration and analysis tool Giovanni developed at the NASA Goddard Earth Sciences Data Services and Information Center (GES DISC). 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.
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