• DocumentCode
    3690445
  • Title

    Photometer-based aerosol phase functions for simulating the internal radiation field in smoky atmospheres

  • Author

    Santo V. Salinas;Mo Lan;Soo Chin Liew

  • Author_Institution
    Centre for Remote Imaging, Sensing and Processing (CRISP) National University of Singapore, Block S17, Level 2, 10 Lower Kent Ridge Road, Singapore 119260
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    2338
  • Lastpage
    2341
  • Abstract
    Over the last two decades and due to rapid economic growth, South-East Asia experiences mild to severe smoke episodes generated from annual biomass burning, usually occurring during the dry season period (from June to October). In Singapore, in-situ aerosol measurements are now performed by our AERONET sun photometer site since 2006. Such measurements readily provide optical characterization of atmospheric aerosols, such as optical depth and Angstrom number, as well as other physical properties such as refractive index, single scattering albedo, particle size distribution and scattering phase function when available. However, realistic aerosol phase functions can be quite complex and sometimes prohibitive to use in full radiative transfer calculations. This is due to the fact that many radiative transfer codes use Legendre polynomials and/or generalized spherical functions to represent the aerosol phase function. In such a cases, the number of expansion terms, for realistic aerosol particles, could be very large. In this work, a double Henyey-Greenstein function approximation is adopted to generate aerosol phase functions from level 1.5 AERONET measurements during smoke/smoke-free periods.
  • Keywords
    "Atmospheric modeling","Aerosols","Atmospheric measurements","Optical scattering","Clouds"
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
  • ISSN
    2153-6996
  • Electronic_ISBN
    2153-7003
  • Type

    conf

  • DOI
    10.1109/IGARSS.2015.7326277
  • Filename
    7326277