Stochastic Cloud Clearing of Atmospheric Infrared Sounder Hyperspectral Infrared Radiances (AIRS)

Choongyeun Cho and David Staelin

Optical Society of America (OSA) Hyperspectral Imaging and Sounding of the Environment (HISE) 2007

Abstract

A stochastic data-trained method is presented that estimates and compensates for cloud perturbations of hyperspectral IR radiances. The RMS accuracy is ~0.2-0.4K for ~60 selected channels, and the algorithm is computationally efficient.

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