limb effect
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2020 ◽  
Vol 10 (1) ◽  
pp. e0418-e0418
Author(s):  
Hirotaka Iijima ◽  
Mami Inoue ◽  
Yusuke Suzuki ◽  
Kanako Shimoura ◽  
Tomoki Aoyama ◽  
...  

2017 ◽  
Vol 122 (21) ◽  
pp. 11,347-11,356 ◽  
Author(s):  
Kexin Zhang ◽  
Lihang Zhou ◽  
Mitch Goldberg ◽  
Xingpin Liu ◽  
Walter Wolf ◽  
...  
Keyword(s):  

2017 ◽  
Vol 57 ◽  
pp. 18-19
Author(s):  
A. Botter ◽  
I. Varvello ◽  
A. Casella ◽  
N.A. Maffiuletti ◽  
G. Massazza ◽  
...  

2016 ◽  
Vol 33 (5) ◽  
pp. 1073-1087 ◽  
Author(s):  
Nicholas J. Elmer ◽  
Emily Berndt ◽  
Gary J. Jedlovec

AbstractRed–green–blue (RGB) composite imagery combines information from several spectral channels into one image to aid in the operational analysis of atmospheric processes. However, infrared channels are adversely affected by the limb effect, the result of an increase in optical pathlength of the absorbing atmosphere between the satellite and the earth as viewing zenith angle increases. This study develops a technique to quickly correct for limb effects in both clear and cloudy regions using latitudinally and seasonally varying limb correction coefficients for real-time applications. These limb correction coefficients account for the increase in optical pathlength in order to produce limb-corrected RGB composites. The improved functionality of limb-corrected RGB composites is demonstrated by multiple case studies of Air Mass and Dust RGB composites using Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) and Suomi–National Polar-Orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) imagery. However, the limb correction can be applied to any polar-orbiting sensor infrared channels, provided the proper limb correction coefficients are calculated. Corrected RGB composites provide multiple advantages over uncorrected RGB composites, including increased confidence in the interpretation of RGB features, improved situational awareness for operational forecasters, and the ability to use RGB composites from multiple sensors jointly to increase the temporal frequency of observations.


Author(s):  
Georg von Krogh ◽  
Johan Roos ◽  
Thorvald Hærem
Keyword(s):  

2010 ◽  
Vol 27 (3) ◽  
pp. 470-480 ◽  
Author(s):  
Chee-Kiat Teo ◽  
Tieh-Yong Koh

Abstract A statistical method to correct for the limb effect in off-nadir Atmospheric Infrared Sounder (AIRS) channel radiances is described, using the channel radiance itself and principal components (PCs) of the other channel radiances to account for the multicollinearity. A method of selecting an optimal set of predictors is proposed and demonstrated for one- and two-PC predictors. Validation results with a subset of AIRS channels in the spectral region 649–2664 cm−1 show that the mean nadir-corrected brightness temperature (BT) is largely independent of scan angle. More than 66% of the channels have a root-mean-square (rms) bias less than 0.10 K after nadir correction. Limb effect on the standard deviation (SD) of BT is discernible at larger scan angles, mainly for the atmospheric windows and the water vapor channels around 6.7 μm. After nadir correction, nearly all atmospheric window channels unaffected by solar glint and more than 76% of water vapor channels examined have BT SDs brought closer to nadir values. For the window channels affected by solar glint (wavenumber > 2490 cm−1), BT SDs at the scan angles with the strongest impact from solar reflection were improved on average by more than 0.6 K after nadir correction.


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