A principal component-based radiative transfer forward model (PCRTM) for hyperspectral instruments

Xu Liu; William L. Smith Sr.; Daniel K. Zhou; Allen M. Larar

doi:10.1117/12.578996

20 January 2005 A principal component-based radiative transfer forward model (PCRTM) for hyperspectral instruments

Xu Liu, William L. Smith Sr., Daniel K. Zhou, Allen M. Larar

Proceedings Volume 5655, Multispectral and Hyperspectral Remote Sensing Instruments and Applications II; (2005) https://doi.org/10.1117/12.578996
Event: Fourth International Asia-Pacific Environmental Remote Sensing Symposium 2004: Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2004, Honolulu, Hawai'i, United States

Abstract

Modern Infrared satellite sensors such as AIRS, CrIS, TES, GIFTS and IASI are all capable of providing high spatial and spectral resolution infrared spectra. To fully exploit the vast amount of spectral information from these instruments, super fast radiative transfer models are needed. This paper presents a novel radiative transfer model based on principal component analysis. The model is very accurate and flexible. Its execution speed is a factor of 3-30 times faster than channel-based fast models. Due to its high speed and compressed spectral information format, it has great potential for super fast one-dimensional physical retrievals and for Numerical Weather Prediction (NWP) large volume radiance data assimilation applications. The model has been successfully developed for the NAST-I and AIRS instruments. The PCRTM model performs monochromatic radiative transfer calculations and is suitable to include multiple scattering calculations to account for clouds and aerosols.

Citation Download Citation

Xu Liu, William L. Smith Sr., Daniel K. Zhou, and Allen M. Larar "A principal component-based radiative transfer forward model (PCRTM) for hyperspectral instruments", Proc. SPIE 5655, Multispectral and Hyperspectral Remote Sensing Instruments and Applications II, (20 January 2005); https://doi.org/10.1117/12.578996

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