• DocumentCode
    340068
  • Title

    Estimation of direct aerosol solar radiative forcing from MOS-B measurements

  • Author

    Heinemann, Thomas ; Fischer, Jurgen

  • Author_Institution
    Inst. fur Weltraumwissenschaften, Freie Univ. Berlin, Germany
  • Volume
    1
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    369
  • Abstract
    Aerosol retrieval over the ocean is a major task for present and future satellite missions. With nadir looking sensors no information about absorption by aerosol can be obtained. Absorbing aerosols lead to the estimation of too low an aerosol optical depth. The climatic effect of aerosols in the solar spectral region can be expressed by the change of integrated upward radiative flux (URF) at the top of the atmosphere due to the presence of aerosols. Usually URF is derived from remotely sensed aerosol parameters using a radiative transfer model. The errors in the aerosol parameters are propagated to the URF. In this paper a method is presented deriving the URF directly from measured radiances. Aerosol absorption does not affect this retrieval method. The retrieval algorithm is based on a regression scheme. Regression parameters are derived from radiative transfer simulations. Sensitivity tests are performed in order to estimate the influence of sensor noise and change of sea surface roughness on the algorithm. The retrieval is applied to Modular Optoelectronic Scanner scenes of the North Sea and the North Atlantic
  • Keywords
    aerosols; atmospheric radiation; radiative transfer; remote sensing; sunlight; MOS-B measurements; Modular Optoelectronic Scanner; North Atlantic Ocean; North Sea; absorbing aerosols; aerosol climatic effect; aerosol optical depth; aerosol retrieval; direct aerosol solar radiative forcing; nadir looking sensors; radiances; radiative transfer model; regression scheme; remotely sensed aerosol parameters; sea surface roughness; sensitivity tests; sensor noise; upward radiative flux; Absorption; Aerosols; Atmosphere; Atmospheric measurements; Atmospheric modeling; Oceans; Optical sensors; Satellites; Sea measurements; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
  • Conference_Location
    Hamburg
  • Print_ISBN
    0-7803-5207-6
  • Type

    conf

  • DOI
    10.1109/IGARSS.1999.773500
  • Filename
    773500