Remote sensing of aerosol and chemical gases, model simulation/assimilation, and applications to air quality: 13-14 August, 2006, San Diego, California, USDA
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Analysis of the relationship between MODIS aerosol optical depth and PM2 5 in
Aerosol lidar and MODIS satellite comparisons for future aerosol loading forecast 629905
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absorption AERONET aerosol lidar aerosol optical depth aerosol scattering air quality AIRNow algorithm Allen Chu AOT data Applications Asian dust atmospheric backscatter backscatter coefficient barely resolved boundary layer calculated calibration California Central Valley China Cimel Sunphotometer cloud column data assimilation detection dust emission dust events dust storm dust top Environmental estimated extinction coefficient Figure forecast Geophys global ground-based harmonic HCHO Hexi Corridor HSAs infrared instrument James Szykman Lanzhou laser lidar lidar data lidar measurements lidar system LPCs mass concentration MODIS aerosol MODIS AOD MODIS L2 modulation monitoring MOPITT MWIR NASA observed optical properties optical thickness parameters particle size distribution particulate pixels ppbv radiance ratio region Remote Sensing Research retrieval sanddust Sensing of Aerosol sensor Shobha Kondragunta shown shows signal single scattering albedo spatial spectrometer surface SWIR Taipei Taiwan temperature troposphere UMBC values vertical VSWIR Wang wavelength