Matching observations to model resolution for future weather and climate applications

被引:0
作者
Pagano, Thomas S. [1 ]
机构
[1] CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA
来源
ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XIV | 2008年 / 6966卷
关键词
remote sensing; observations; spatial resolution; AIRS; ARIES;
D O I
10.1117/12.777611
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
High spatial resolution sounding observations will improve initialization and assimilation into the next generation forecast models and validation of the next generation of climate models. One such advanced sounder concept for low earth orbit is the Advanced Remote-sensing Imaging Emission Spectrometer (ARIES) which proposes to provide high spatial hyperspectral resolution observations in the mid to longwave infrared. This paper explores the effects of spatial resolution on the errors expected from the combined use of models and observations for representing scene information. We calculate the frequency response of the instrument and model and determine the error at any given spatial frequency. The results show that it is. vital to have observations match the spatial resolution of models to minimize the uncertainty in the representation of the scene contents.
引用
收藏
页数:5
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