Development of a global infrared land surface emissivity database for application to clear sky sounding retrievals from multispectral satellite radiance measurements

被引:324
|
作者
Seemann, Suzanne W. [1 ]
Borbas, Eva E. [1 ]
Knuteson, Robert O. [1 ]
Stephenson, Gordon R. [1 ]
Huang, Hung-Lung [1 ]
机构
[1] Univ Wisconsin, Cooperat Inst Meteorol Satellite Studies, Madison, WI 53716 USA
关键词
D O I
10.1175/2007JAMC1590.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A global database of infrared (IR) land surface emissivity is introduced to support more accurate retrievals of atmospheric properties such as temperature and moisture profiles from multispectral satellite radiance measurements. Emissivity is derived using input from the Moderate Resolution Imaging Spectro-radiometer ( MODIS) operational land surface emissivity product ( MOD11). The baseline fit method, based on a conceptual model developed from laboratory measurements of surface emissivity, is applied to fill in the spectral gaps between the six emissivity wavelengths available in MOD11. The six available MOD11 wavelengths span only three spectral regions (3.8-4, 8.6, and 11-12 mu m), while the retrievals of atmospheric temperature and moisture from satellite IR sounder radiances require surface emissivity at higher spectral resolution. Emissivity in the database presented here is available globally at 10 wavelengths (3.6, 4.3, 5.0, 5.8, 7.6, 8.3, 9.3, 10.8, 12.1, and 14.3 mu m) with 0.05 degrees spatial resolution. The wavelengths in the database were chosen as hinge points to capture as much of the shape of the higher-resolution emissivity spectra as possible between 3.6 and 14.3 mu m. The surface emissivity from this database is applied to the IR regression retrieval of atmospheric moisture profiles using radiances from MODIS, and improvement is shown over retrievals made with the typical assumption of constant emissivity.
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页码:108 / 123
页数:16
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