• DocumentCode
    484061
  • Title

    Analysis of Sararan Dust Observations by Calipso in the Context of CRAM

  • Author

    McPherson, Christopher J. ; Reagan, John A.

  • Author_Institution
    Univ. of Arizona, Tucson, AZ
  • Volume
    2
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    Since its first collection of lidar data in June of 2006, the Cloud Aerosol Lidar with Orthogonal Polarization (CALIOP) lidar instrument aboard CALIPSO has observed numerous Saharan dust events in Western Africa and the Atlantic, predominantly during the boreal summer months of late May through early September. A tremendous amount of data is currently available from which to begin analysis. With CALIOP´s sensitivity to polarization at 532 nm, such dust layers are easily identified by significant amounts of depolarization relative to other aerosol types due to the non-sphericity of dust particles. Dust aerosols represent an interesting basis upon which to examine the performance of the CRAM technique, and in particular its dust model, due to the fact that dust is distinctly identifiable from depolarization. The results from this analysis aim to demonstrate the capability of aerosol modeling as a solution to the retrieval problem, where independent verification of aerosol type (i.e., from 532 nm depolarization and known dust transport paths) may be made to facilitate the investigation.
  • Keywords
    aerosols; dust; optical radar; remote sensing by radar; AD 2006 06; Atlantic Ocean; CALIOP lidar instrument; CRAM technique; Cloud Aerosol Lidar with Orthogonal Polarization; Constrained Ratio Aerosol Model-fit; Sararan dust observations; Western Africa; aerosol modeling; dust aerosol types; dust particles nonsphericity; lidar data collection; polarization; wavelength 532 nm; Aerosols; Backscatter; Equations; Extinction coefficients; Information retrieval; Laser radar; Optical attenuators; Optical scattering; Optical sensors; Polarization;
  • 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.2008.4779056
  • Filename
    4779056