A fast infrared radiative transfer model based on the adding-doubling method for hyperspectral remote-sensing applications

被引:23
作者
Zhang, Zhibo
Yang, Ping [1 ]
Kattawar, George
Huang, Hung-Lung Allen
Greenwald, Thomas
Li, Jun
Baum, Bryan A.
Zhou, Daniel K.
Hu, Yongxiang
机构
[1] Texas A&M Univ, Dept Atmospher Sci, College Stn, TX 77843 USA
[2] Texas A&M Univ, Dept Phys, College Stn, TX 77843 USA
[3] Univ Wisconsin, CIMSS, Madison, WI USA
[4] Univ Wisconsin, Space Sci & Engn Ctr, Madison, WI USA
[5] NASA, Langley Res Ctr, Hampton, VA 23665 USA
基金
美国国家航空航天局; 美国国家科学基金会;
关键词
hyperspectral; radiative transfer; clouds; adding-doubling; remote sensing; fast model;
D O I
10.1016/j.jqsrt.2007.01.009
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
A fast infrared radiative transfer (RT) model is developed on the basis of the adding-doubling principle, hereafter referred to as FIRTNI-AD, to facilitate the forward RT simulations involved in hyperspectral remote-sensing applications under cloudy-sky conditions. A pre-computed look-up table (LUT) of the bidirectional reflection and transmission functions and emissivities of ice clouds in conjunction with efficient interpolation schemes is used in FIRTM-AD to alleviate the computational burden of the doubling process. FIRTNI-AD is applicable to a variety of cloud conditions, including vertically inhomogeneous or multilayered clouds. In particular, this RT model is suitable for the computation of high-spectral-resolution radiance and brightness temperature (BT) spectra at both the top-of-atmosphere and surface, and thus is useful for satellite and ground-based hyperspectral sensors. In terms of computer CPU time, FIRTM-AD is approximately 100-250 times faster than the well-known discrete-ordinate (DISORT) RT model for the same conditions. The errors of FIRTM-AD, specified as root-mean-square (RMS) BT differences with respect to their DISORT counterparts, are generally smaller than 0.1 K. (c) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:243 / 263
页数:21
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