• DocumentCode
    3353588
  • Title

    A comparison of two stream approximation for the discrete ordinate method and the SOS method

  • Author

    Hou, Weizhen ; Yin, Qin ; Xu, Hua ; Li, Li ; Chen, Zhenghua

  • Author_Institution
    Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    3580
  • Lastpage
    3583
  • Abstract
    The two-stream discrete ordinates method and the two-stream successive orders of scattering method are compared, and the key features of two methods are discussed. Based on the convergence characteristics of successive scattering, we use a semi-empirical model to improve the computing efficiency in the SOS method. Using the delta-M method, we investigate the effect of the two two-stream method for non-absorbing and absorbing case respectively. The 32-stream DISORT is used as the benchmark for assessments of the relative accuracy of the two methods investigated. With the comparisons for the accuracy of flux, the results of the two two-stream methods are almost the same in general and the absorbing media lead to larger errors of flux compared with that of the non-absorbing case.
  • Keywords
    approximation theory; electromagnetic wave scattering; 32-stream DISORT; delta-M method; semi-empirical model; successive scattering; two stream approximation; two-stream discrete ordinates method; two-stream successive orders of scattering method; Adaptive optics; Approximation methods; Computational modeling; Equations; Mathematical model; Optical scattering; Approximation methods; differential equations; planetary atmospheres; remote sensing; scattering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5652681
  • Filename
    5652681