• DocumentCode
    2121603
  • Title

    Using multifrequency HF radar to estimate ocean wind fields

  • Author

    Vesecky, John F. ; Drake, Jessica A. ; Laws, Kenneth ; Ludwig, Frank L. ; Teague, Calvin C. ; Meadows, Lorelle A.

  • Author_Institution
    Dept. of Electr. Eng., California Univ., Santa Cruz, CA
  • Volume
    2
  • fYear
    2004
  • fDate
    20-24 Sept. 2004
  • Firstpage
    1167
  • Lastpage
    1170
  • Abstract
    HF radar has become an important tool for mapping surface currents in the coastal ocean and has been used to determine wind direction. Here the author investigate further the ability of multifrequency HF radar to measure the vector wind field and the impact that such measurements have on the measurement of coastal wind fields over both the land and sea. In this study the author use data collected over Monterey Bay, California from Jan. to Aug. 2001. Their multifrequency coastal radars (MCR´s) operated at 4.8, 6.8, 13.4 and 21.8 MHz, measuring currents at effective depths of about 2.5, 1.8, 0.9 and 0.6 m respectively. Here, the author move beyond their preliminary reports by examining the durability of their HF wind vector measurements over a seven-month data set. The results over this longer time span indicate standard errors of prediction (SEP´s) of 1.2 and 1.1 m/s for the U and V wind speed components respectively with biases less than 0.15 m/s. The author also investigate a Kalman filtering modification to their partial least squares algorithm. Further, the author demonstrate the beneficial impact of multifrequency HF radar, wind field measurements, on estimation of the coastal wind field over both land and sea.
  • Keywords
    Kalman filters; data acquisition; least squares approximations; marine radar; oceanographic regions; wind; 0.6 m; 0.9 m; 1.8 m; 13.4 MHz; 2.5 m; 21.8 MHz; 4.8 MHz; 6.8 MHz; AD 2001 01 to 08; California; Kalman filtering modification; MCR; Monterey Bay; SEP; U/V wind speed component; USA; coastal ocean surface current mapping; multifrequency HF/coastal radar; ocean vector wind field estimation; partial least squares algorithm; standard errors of prediction; Current measurement; Filtering; Kalman filters; Least squares methods; Oceans; Radar measurements; Sea measurements; Sea surface; Wind speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    0-7803-8742-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2004.1368622
  • Filename
    1368622