Battlefield emission and multiple scattering (BEAMS): a 3D inhomogeneous radiative transfer model

1993 ◽  
Author(s):  
Donald W. Hoock, Jr. ◽  
John C. Giever ◽  
Sean G. O'Brien
Keyword(s):  
Radiative Transfer ◽  
Multiple Scattering ◽  
Radiative Transfer Model ◽  
Transfer Model

scholarly journals Improvement of the Simulation of Cloud Longwave Scattering in Broadband Radiative Transfer Models

2018 ◽  
Vol 75 (7) ◽  
pp. 2217-2233 ◽  
Author(s):  
Guanglin Tang ◽  
Ping Yang ◽  
George W. Kattawar ◽  
Xianglei Huang ◽  
Eli J. Mlawer ◽  
...  
Keyword(s):  
Radiative Transfer ◽  
Multiple Scattering ◽  
General Circulation ◽  
General Circulation Models ◽  
Radiative Transfer Model ◽  
Transfer Model ◽  
Discrete Ordinate ◽  
Wide Range ◽  
Scaling Methods ◽  
Computational Errors

Abstract Cloud longwave scattering is generally neglected in general circulation models (GCMs), but it plays a significant and highly uncertain role in the atmospheric energy budget as demonstrated in recent studies. To reduce the errors caused by neglecting cloud longwave scattering, two new radiance adjustment methods are developed that retain the computational efficiency of broadband radiative transfer simulations. In particular, two existing scaling methods and the two new adjustment methods are implemented in the Rapid Radiative Transfer Model (RRTM). The results are then compared with those based on the Discrete Ordinate Radiative Transfer model (DISORT) that explicitly accounts for multiple scattering by clouds. The two scaling methods are shown to improve the accuracy of radiative transfer simulations for optically thin clouds but not effectively for optically thick clouds. However, the adjustment methods reduce computational errors over a wide range, from optically thin to thick clouds. With the adjustment methods, the errors resulting from neglecting cloud longwave scattering are reduced to less than 2 W m−2 for the upward irradiance at the top of the atmosphere and less than 0.5 W m−2 for the surface downward irradiance. The adjustment schemes prove to be more accurate and efficient than a four-stream approximation that explicitly accounts for multiple scattering. The neglect of cloud longwave scattering results in an underestimate of the surface downward irradiance (cooling effect), but the errors are almost eliminated by the adjustment methods (warming effect).

Erratum: “A Multiple Scattering Polarized Radiative Transfer Model: Application to HD 189733b” (2016, ApJ, 817, 32)

2018 ◽  
Vol 862 (2) ◽  
pp. 176
Author(s):  
Pushkar Kopparla ◽  
Vijay Natraj ◽  
Xi Zhang ◽  
Mark R. Swain ◽  
Sloane J. Wiktorowicz ◽  
...  
Keyword(s):  
Radiative Transfer ◽  
Multiple Scattering ◽  
Radiative Transfer Model ◽  
Transfer Model ◽  
Model Application

scholarly journals An Improved Radiative Transfer Model for Polarimetric Backscattering from Agricultural Fields at C- and X-Bands

2021 ◽  
Vol 21 (2) ◽  
pp. 104-110
Author(s):  
Yisok Oh ◽  
Jisung Geba Chang ◽  
Maxim Shoshany
Keyword(s):  
Radiative Transfer ◽  
Multiple Scattering ◽  
Measurement Data ◽  
Higher Order ◽  
Underlying Surface ◽  
Radiative Transfer Model ◽  
Transfer Model ◽  
Data Sets ◽  
Ground Truth Data ◽  
Radar Backscattering

The first-order vector radiative transfer model (FVRTM) is modified mainly by examining the effects of leaf curvature of vegetation canopies, the higher-order multiple scattering among vegetation scattering particles, and the underlying-surface roughness for forward reflection on radar backscattering from farming fields at C- and X-bands. At first, we collected the backscattering coefficients measured by scatterometers and space-borne synthetic aperture radar (SAR), field-measured ground-truth data sets, and theoretical scattering models for radar backscattering from vegetation fields at microwaves. Then, these effects on the RTM were examined using the database at the C- and X-bands. Finally, an improved RTM was obtained by adjusting its parameters, mainly related with the leaf curvature, the higher-order multiple scattering, and the underlying-surface small-roughness characteristics, and its accuracy was verified by comparisons between the improved RTM and measurement data sets.

scholarly journals A MULTIPLE SCATTERING POLARIZED RADIATIVE TRANSFER MODEL: APPLICATION TO HD 189733b

2016 ◽  
Vol 817 (1) ◽  
pp. 32 ◽  
Author(s):  
Pushkar Kopparla ◽  
Vijay Natraj ◽  
Xi Zhang ◽  
Mark R. Swain ◽  
Sloane J. Wiktorowicz ◽  
...  
Keyword(s):  
Radiative Transfer ◽  
Multiple Scattering ◽  
Radiative Transfer Model ◽  
Transfer Model ◽  
Model Application
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