• DocumentCode
    2194663
  • Title

    Community radiative transfer model for radiance assimilation and applications

  • Author

    Liu, Quanhua ; Van Delst, Paul ; Chen, Yong ; Groff, David ; Han, Yong ; Collard, Andrew ; Weng, Fuzhong ; Boukabara, Sid-Ahmed ; Derber, John

  • Author_Institution
    Joint Center for Satellite Data Assimilation, Univ. of Maryland, Camp Springs, MD, USA
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    3700
  • Lastpage
    3703
  • Abstract
    The Community Radiative Transfer Model (CRTM), developed at U.S. Joint Center for Satellite Data Assimilation (JCSDA), has been used for infrared and microwave satellite radiance simulations and their derivatives to the surface/atmospheric parameters in data assimilation, physical retrieval, and many others. The CRTM has also been applied visible sensors and visible channel radiance/reflectance is simulated for studying aerosol and cloud effect. Together with the CRTM aerosol optical depth (AOD) module, the MODIS AOD satellite products can be assimilated and enhance air quality forecasting. This paper gives an overview of the CRTM developments and functionalities as well as its applications.
  • Keywords
    aerosols; atmospheric optics; atmospheric radiation; data assimilation; radiative transfer; AOD module; CRTM aerosol optical depth; CRTM development; CRTM functionality; Community Radiative Transfer Model; JCSDA; MODIS AOD satellite product; US Joint Center for Satellite Data Assimilation; aerosol effect; air quality forecasting; atmospheric parameters; cloud effect; infrared satellite radiance simulation; microwave satellite radiance simulation; physical retrieval; radiance assimilation; surface parameters; visible channel radiance; visible channel reflectance; visible sensors; Aerosols; Atmospheric modeling; Computational modeling; Data assimilation; Ocean temperature; Satellites; Sensors; Community Radiative Transfer Model; data assimilation;
  • 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.2012.6350612
  • Filename
    6350612