• DocumentCode
    3351284
  • Title

    Application of remotely sensed wind measurements to ocean surface wind analyses

  • Author

    Atlas, Robert

  • Author_Institution
    NOAA Atlantic Oceanogr. & Meteorol. Lab., Miami, FL, USA
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    3538
  • Lastpage
    3540
  • Abstract
    The assimilation and validation of cross-calibrated, multisatellite ocean surface wind data is described. The principal data set covers the global ocean for the twenty-two year period from 1987 through 2009 with six-hour and 25-km resolution. This data set is produced by combining all ocean surface wind speed observations from SSM/I, AMSR-E, and TMI, and all ocean surface wind vector observations from QuikSCAT and SeaWinds. An enhanced variational analysis method (VAM) performs quality control and combines these data with available ship and buoy data and ECMWF analyses. The VAM analyses fit the data used very closely and contain small-scale structures not present in operational analyses. Comparisons with withheld observations are also shown to be very good. These data should be extremely useful to atmospheric and oceanic research, and to air-sea interaction studies.
  • Keywords
    quality control; radiometry; remote sensing; variational techniques; wind; AMSR-E; ECMWF analyses; QuikSCAT; SSM-I; SeaWinds; TMI; air-sea interaction; microwave radiometry; multisatellite ocean surface wind data; ocean surface wind vector observations; quality control; remote sensing; variational analysis method; Microwave radiometry; Satellite broadcasting; Satellites; Sea surface; Surface waves; Wind speed; microwave radiometry; scatterometry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5652511
  • Filename
    5652511