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Parameterized code SHARM-3D for radiative transfer over inhomogeneous surfaces.

Alexei Lyapustin1, Yujie Wang

  • 1Goddard Earth Sciences and Technology Center, University of Maryland Baltimore County, and NASA Goddard Space Flight Center, Code 614.4, Greenbelt, Maryland 20771. USA. alyapust@pop900.gsfc.nasa.gov

Applied Optics
|December 21, 2005
PubMed
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The SHARM-3D code enables rapid, accurate atmospheric radiance simulations over varied surfaces. Innovations include precomputed atmospheric optical transfer functions and a surface bidirectional reflectance factor model for enhanced efficiency.

Area of Science:

  • Atmospheric optics
  • Remote sensing
  • Computational modeling

Background:

  • Accurate simulation of atmospheric radiance is crucial for remote sensing applications.
  • Existing models often face limitations in speed and handling spatially variable surface reflectance.
  • Atmospheric aerosols and surface properties significantly influence observed radiance.

Purpose of the Study:

  • To describe the SHARM-3D code for fast and accurate monochromatic radiance simulations.
  • To present innovations enhancing the code's numerical efficiency.
  • To enable modeling of diverse surface types, including water bodies.

Main Methods:

  • Development of SHARM-3D code for simultaneous calculations across geometries and wavelengths.
  • Implementation of precomputed lookup tables for 3D atmospheric optical transfer functions.

Related Experiment Videos

  • Integration of a linear kernel model for land surface bidirectional reflectance factor (BRF).
  • Application of the Nakajima-Tanaka BRF model for inland water bodies.

    • Main Results:

    • SHARM-3D achieves high numerical efficiency through its innovative methods.
    • The code accurately simulates monochromatic radiance over Lambertian and anisotropic surfaces.
    • Simultaneous calculations for multiple parameters reduce overall simulation time.
    • The model effectively incorporates atmospheric layers with aerosols and diverse surface BRFs.

    Conclusions:

    • SHARM-3D provides a computationally efficient and accurate tool for atmospheric radiance simulation.
    • The code's parameterization in terms of surface BRF simplifies its application.
    • The inclusion of water body modeling expands its utility in remote sensing.
    • The developed methods represent a significant advancement in atmospheric radiative transfer modeling.