• DocumentCode
    2235142
  • 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
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    5069
  • Lastpage
    5072
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352471
  • Filename
    6352471