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Proceedings Paper

A principal component-based radiative transfer forward model (PCRTM) for vertically inhomogeneous cloud
Author(s): Hui Li; Xu Liu; Ping Yang; David P. Kratz
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Paper Abstract

A principal-component based radiative transfer model (PCRTM) is developed for simulating the infrared spectral radiance at the top of the atmosphere (TOA). The PCRTM approach removes the redundancy in radiative transfer calculation in high-resolution infrared spectra, and saves significant amount of computational time with great accuracy. In PCRTM, both ice and water clouds are treated as effective transmissivity and reflectivity stored in a pre-calculated lookup tables. These quantities are calculated using cloud single scattering properties such as cloud optical depth, cloud particle size, cloud phase, etc. The cloud can be inserted into any pressure layer in the PCRTM model (up to 100 layers). The effective temperature of each cloud layer is treated as a function of its optical depth. To test the accuracy of this approximation, the results are compared with the more rigorous DISORT model, which treats cloud as plane parallel layers. The root-mean-square error of PCRTM, with respect to DISORT results, is generally less than 0.4 K in brightness temperature. However, the CPU time required by PCRTM was at least two orders of magnitude less than that required by DISORT.

Paper Details

Date Published: 13 November 2010
PDF: 7 pages
Proc. SPIE 7856, Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions III, 785606 (13 November 2010); doi: 10.1117/12.869575
Show Author Affiliations
Hui Li, NASA Langley Research Ctr. (United States)
Xu Liu, NASA Langley Research Ctr. (United States)
Ping Yang, Texas A&M Univ. (United States)
David P. Kratz, NASA Langley Research Ctr. (United States)


Published in SPIE Proceedings Vol. 7856:
Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions III
Tiruvalam N. Krishnamurti; Jhoon Kim; Takashi Moriyama, Editor(s)

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