• DocumentCode
    575845
  • Title

    Spectral dependence of the response time of sea state to local wind forcing

  • Author

    Chen, David D. ; Gleason, Scott ; Ruf, Chris ; Adjrad, Mounir

  • Author_Institution
    Univ. of Michigan, Ann Arbor, MI, USA
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    3776
  • Lastpage
    3779
  • Abstract
    Bistatic remote sensing using L-band GPS signals has been proposed as an alternative to using microwave radiometers and monostatic radar scatterometers for spaceborne ocean surface windspeed measurements. L-band scattered signals are sensitive to waves with longer wavelengths than are the signals sensed by conventional radiometers and scatterometers, which typically operate at higher frequencies. It is known that longer surface waves take more time to respond to surface winds, propagate further before decaying, and are generally less directly coupled to the local wind field. These factors could affect the ability of scattered GPS L-band signals to retrieve local wind fields. In this work, we attempt to quantify the relationship between the longwave spectrum and local winds by examining windspeed and surface slope measurements by buoys. Specifically, by applying a lag-correlator, it is observed that the average lag time decreases monotonically as the ocean surface wavelength decreases. It is found that 1 hour serves as a conservative bound on the average response time of L-band waves to local wind forcing.
  • Keywords
    Global Positioning System; ocean waves; oceanographic techniques; remote sensing; wind; L-band GPS signals; L-band scattered signals; L-band waves; bistatic remote sensing; buoys; lag-correlator; local wind fields; local wind forcing; local winds; longer surface waves; longwave spectrum; microwave radiometers; monostatic radar scatterometers; ocean surface wavelength; response time; scattered GPS L-band signals; sea state; spaceborne ocean surface windspeed measurements; spectral dependence; surface slope measurements; time 1 hour; L-band; Sea measurements; Sea surface; Spaceborne radar; Surface waves; Wind; GNSS; GPS; L-band; Mean Squared Slope; Windspeed;
  • 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.2012.6350495
  • Filename
    6350495