• DocumentCode
    484230
  • Title

    OSS Radiative Transfer Method Performance in Real Time Atmosphere Characterization from Satellite Sounding and Imaging Data

  • Author

    Moncet, Jean-Luc ; Uymin, Gennady ; Lipton, Alan

  • Volume
    3
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    The optimal spectral sampling (OSS) method is a rapid and accurate technique for numerical modeling of narrow-band transmittances in media with non-homogeneous thermodynamic properties containing a mixture of absorbing gases with variable concentrations. The method was initially designed for the modeling of radiances measured by satellite or aircraft-borne sensors in the infrared and microwave and is particularly well suited for remote sensing applications and for the assimilation of satellite observations in numerical weather prediction (NWP) models. In this paper we provide a brief description of the method and discuss its accuracy and computational performance in the context of retrieval of atmospheric parameters from sounding and imaging sensor (e.g. AIRS and MODIS) observations. Both clear and cloudy conditions are addressed.
  • Keywords
    atmospheric techniques; data assimilation; radiative transfer; remote sensing; spectral analysis; OSS radiative transfer method; computational performance; data assimilation; imaging data; nonhomogeneous thermodynamic properties; numerical weather prediction; optimal spectral sampling; real time atmosphere characterization; remote sensing; satellite sounding; Acoustic imaging; Atmosphere; Atmospheric modeling; Narrowband; Nonhomogeneous media; Numerical models; Predictive models; Sampling methods; Satellites; Thermodynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4779298
  • Filename
    4779298