• DocumentCode
    1523085
  • Title

    Multi-Instrument Calibration Method Based on a Multiwavelength Ocean Surface Model

  • Author

    Josset, Damien ; Pelon, Jacques ; Hu, Yongxiang

  • Author_Institution
    Lab. AtmosphEres, Inst. Pierre-Simon Laplace, Paris, France
  • Volume
    7
  • Issue
    1
  • fYear
    2010
  • Firstpage
    195
  • Lastpage
    199
  • Abstract
    A-Train platforms offer the possibility of measuring the same physical parameters using active and passive instruments, to improve our understanding of geophysical processes in the Earth system. In this letter, a new calibration approach is developed using active [Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) lidar and CloudSat radar] and passive [Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E)] instruments. The parameters of an existing oceanic surface model are first adjusted to give consistent sea surface scattering properties for CALIPSO and CloudSat observations. Revisiting the lidar/radar data analysis procedure using this model, as well as sea surface wind speed, the temperature and water vapor products of the microwave radiometer (AMSR-E) allowed one to refine the calibration factors for both lidar and radar observations in a coherent approach. This study also improves other applications such as the retrieval of atmospheric attenuation from aerosols at optical wavelengths.
  • Keywords
    calibration; geophysical equipment; optical radar; radiometers; remote sensing by laser beam; remote sensing by radar; A-Train platforms; AMSR-E instrument; Advanced Microwave Scanning Radiometer for the Earth Observing System instrument; CALIPSO instrument; Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation instrument; CloudSat radar; Earth system; microwave radiometer; multiinstrument calibration method; multiwavelength ocean surface model; sea surface scattering; Aerosols; laser radar; radar; remote sensing; sea surface electromagnetic scattering;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2009.2030906
  • Filename
    5299031