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Clouds, Aerosols, and Atmospheric Composition from Satellites : 

Clouds, Aerosols, and Atmospheric Composition from Satellites Cloud optical, microphysical, and radiative properties Terra, Aqua, ICESat Aerosol optical and microphysical properties Terra, Aqua, SeaWiFS Atmospheric profiles Terra, Aqua Summary and resources Data availability Collection 5 reprocessing schedule Michael D. King EOS Senior Project Scientist NASA Goddard Space Flight Center

MODIS Cloud Mask (MOD35/MYD35)(S. A. Ackerman, W. P. Menzel, R. A. Frey, K. I. Strabala - U. Wisc.) : 

MODIS Cloud Mask (MOD35/MYD35)(S. A. Ackerman, W. P. Menzel, R. A. Frey, K. I. Strabala - U. Wisc.) MODIS cloud mask uses multispectral imagery to indicate whether the scene is clear, cloudy, or affected by shadows Cloud mask is input to many atmosphere and land algorithms Mask is generated at 250 m and 1 km resolutions Mask uses 20 spectral bands ranging from 0.55-13.93 µm 11 different spectral tests are performed, with different tests being conducted over each of 5 different domains (land, ocean, coast, snow, and desert) Temporal consistency test is run over the oceans Spatial variability is run over the oceans Algorithm based on radiance thresholds in the infrared, and reflectance and reflectance ratio thresholds in the visible and near-infrared Cloud mask consists of 48 bits of information for each pixel, including results of individual tests and the processing path used Bits 1 & 2 give combined results (confident clear, probably clear, probably cloudy, cloudy)