A Principal Component-based Radiative Transfer Model (PCRTM) has been developed to simulate hyper-spectral remote sensing data in the cloudy atmosphere from far IR to visible and UV spectral regions quickly and accurately. Multi-scatterings of multiple layers of clouds/aerosols are included in the model. The PCRTM model is capable of simulating top of atmospheric radiance or reflectance spectral from 50 wavenumber to 30000 wavenumber. We will describe applications of the PCRTM model for solving various atmospheric remote sensing problems such as atmospheric temperature, moisture, and trace gas profiles retrievals, spectral fingerprinting, inter-satellite calibration, and instrument trade studies.
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