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An investigation of the implications of lunar illumination spectral changes for Day/Night Bandā€based cloud property retrieval due to lunar phase transition

Authors :
Xiuqing Hu
Qifeng Lu
Chao Liu
Peng Zhang
Ling Wang
Naimeng Lu
Jianbo Deng
Min Min
Chen Lin
Jianping Guo
Source :
Journal of Geophysical Research: Atmospheres. 122:9233-9244
Publication Year :
2017
Publisher :
American Geophysical Union (AGU), 2017.

Abstract

The Moon reflects sunlight like a huge mirror hanging in the sky at night, which presents the obviously periodical changes in its luminance or irradiance due to Sun-Earth-Moon geometry variation. The potential effect of the periodical changes in lunar phase angle on nighttime Day/Night Band (DNB) radiative transfer simulation in the presence of cloud has seldom been reported thus far. In this study, a radiative transfer model is developed by coupling the lunar light source with various Sun-Earth-Moon geometries. To elucidate the stability of DNB-averaged cloud bulk scattering properties, we simulate nighttime reflectance and radiances under four typical lunar phase angles (0°, 45°, 90°, and 135°) from 7 April 2016 to 8 May 2016 (e.g., two lunar cycles). Explicit simulation analyses indicated that DNB-averaged cloud bulk scattering properties exhibit weak sensitivity to lunar phase angles. The maximum DNB reflectance differences between any and 90° lunar phase angles are less than 0.05% (0.01%) in the presence of water (ice) clouds, indicating a negligible effect of periodically changes on lunar spectral irradiances. Our findings suggest that the differences of reflectance at lunar phase angle = 90° are less than approximately 0.05% (water cloud)/0.01% (ice cloud), much smaller than 11% radiometric calibration uncertainties of DNB. This means that these differences could be ignored in both nighttime cloud property retrieval and DNB radiative transfer modeling.

Details

ISSN :
21698996 and 2169897X
Volume :
122
Database :
OpenAIRE
Journal :
Journal of Geophysical Research: Atmospheres
Accession number :
edsair.doi...........6c93de7691540b02d4ed5767fff588e2
Full Text :
https://doi.org/10.1002/2017jd027117