Title :
Direction discretization for radiative transfer modeling: An introduction to the new direction model of dart
Author :
Yin, Tiangang ; Rubio, Jeremy ; Gastellu-Etchegorry, Jean-Philippe ; Grau, Eloi ; Lauret, Nicolas
Author_Institution :
CESBIO - CNES, Univ. De Toulouse, Toulouse, France
Abstract :
Many radiative transfer (RT) models combine exact kernel and discrete ordinate techniques for solving the transport equation. They discretize the 4π space into a finite number of angular sectors, with directions along which radiation propagates. They can be more or fewer and equally spaced or not. RT model improvement is usually focused on 3D landscapes simulation and RT mathematical modeling. The angular variable Ω discretization is a much less addressed problem, although it can strongly influence the simulation of satellite signals, especially with small numbers of discrete directions. Here, we present a new Ω discretization that improves the accuracy of simulated result.
Keywords :
radiative transfer; 3D landscape simulation; DART direction model; RT mathematical modeling; direction discretization; discrete ordinate technique; kernel ordinate technique; radiative transfer modeling; Accuracy; Atmospheric modeling; Mathematical model; Shape; Solid modeling; Solids; Sun; direction oversampling; hemispherical sampling; hot spot; radiative transfer;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352471