Fast and accurate radiative transfer model is the key for satellite data analysis, numerical weather prediction, and observation system simulation experiments for climate study applications. We have developed a Principal Component-based radiative transfer model (PCRTM) which can simulate radiative transfer in the cloudy atmosphere from far IR to visible and UV spectral regions quickly and accurately. Multi-scattering of multiple layers of clouds/aerosols is included in the model. A hybrid stream discrete multiple scattering scheme is used to minimizing the number calculation need. The computation speed is 3 to 4 orders of magnitude faster than the medium speed correlated-k option MODTRAN5 and LBLRTM. The PCRTM calculated radiance spectra agree with the Modtran and LBLRTM within 0.02%. Application of this model to various hyperspectral instrument will be shown and discuss.
Xu Liu, Q. Yang, W. Wu, Daniel K. Zhou, and Allen M. Larar, "Fast radiative transfer model from IR to UV for remote sensing applications
(Conference Presentation)," Proc. SPIE 10424, Remote Sensing of Clouds and the Atmosphere XXII, 1042407 (Presented at SPIE Remote Sensing: September 13, 2017; Published: 18 October 2017); https://doi.org/10.1117/12.2277897.5616466053001.
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