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New state of the art methodology is described to analyze AIRS/AMSU/HSB data in the presence of multiple cloud formations. The methodology is used in the AIRS Science Team algorithm which will be used to analyze AIRS/AMSU/HSB data on EOS Aqua. The cloud clearing methodology requires no knowledge of the spectral properties of the clouds. Results are shown for AIRS Science Team simulation studies with multiple cloud formations. These simulation studies imply that temperature soundings can be produced under partial cloud cover with RMS errors better than 1°K in 1 km thick layers from the surface to 700 mb, 1 km layers from 700 mb to 300 mb, 3 km layers from 300 mb to 30 mb, and 5 km layers from 30 mb to 1 mb, and moisture profiles can be obtained with an accuracy better than 15% absolute errors in 1 km layers from the surface to 200 mb.

© 2001 Optical Society of America

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