DocumentCode :
787006
Title :
A 3-D polarized reversed Monte Carlo radiative transfer model for Millimeter and submillimeter passive remote sensing in cloudy atmospheres
Author :
Davis, Cory ; Emde, Claudia ; Harwood, Robert
Author_Institution :
Sch. of Geosciences, Univ. of Edinburgh, UK
Volume :
43
Issue :
5
fYear :
2005
fDate :
5/1/2005 12:00:00 AM
Firstpage :
1096
Lastpage :
1101
Abstract :
This paper introduces a three-dimensional (3-D) polarized radiative transfer model that has been developed to assess the influence of cirrus clouds on radiances measured by the Earth Observing System Microwave Limb Sounder (EOS-MLS) instrument. EOS-MLS is on the Aura satellite, which launched in July 2004. The radiative transfer model uses a reversed Monte Carlo algorithm and has been incorporated in the Atmospheric Radiative Transfer Simulator 1.1.x software package. The model will be used to study aspects of the scattering problem that are not considered in the existing operational EOS-MLS cloudy-sky forward model, including the influence of nonspherical, oriented hydrometeors, and 3-D inhomogeneous cloud structure. This paper presents the radiative transfer algorithm and example model results, which demonstrate significant 3-D and polarization effects. Although the development of this model was motivated by the EOS-MLS mission, it is also directly applicable to ground-based and down-looking geometries.
Keywords :
Monte Carlo methods; atmospheric optics; atmospheric techniques; clouds; microwave measurement; radiative transfer; remote sensing; 3D polarized radiative transfer model; AD 2004 07; Atmospheric Radiative Transfer Simulator; Aura satellite; Earth Observing System Microwave Limb Sounder; cirrus clouds; cloud structure; cloudy atmospheres; cloudy-sky forward model; hydrometeors; millimeter passive remote sensing; polarization effects; reversed Monte Carlo algorithm; scattering problem; submillimeter passive remote sensing; Atmospheric measurements; Atmospheric modeling; Clouds; Earth Observing System; Instruments; Microwave measurements; Monte Carlo methods; Polarization; Remote sensing; Terrestrial atmosphere; Clouds; polarization; radiative transfer; remote sensing; scattering;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2004.837505
Filename :
1424286
Link To Document :
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