• DocumentCode
    483916
  • Title

    Effectiveness Of QuikSCAT´s Ultra-High Resolution Images in Determining Tropical Cyclone Eye Location

  • Author

    Saïd, Faozi ; Long, David G.

  • Author_Institution
    Microwave Earth Remote Sensing Lab., Brigham Young Univ., Provo, UT
  • Volume
    1
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    The 25 km resolution standard wind products (L2B) are available operationally in near-real time from SeaWinds on QuikSCAT. This relatively low resolution can be enhanced to yield a 2.5 km ultra-high resolution (UHR) product that can be used to identify hurricane eye centers more accurately. A comparison is made between the analyst´s choice of eye location based on UHR images and interpolated best-track position. In this analysis, the UHR images are divided into two categories based on the analyst´s confidence level of finding the eye center location. In each category, statistical error quantities are computed. UHR images within the high-confidence category can provide, for a given year and basin, mean error distance as small as 15 km with a 9 km standard deviation. The use of these categories may facilitate the realization of QuikSCAT´s effectiveness in helping to identify and track hurricane eye centers.
  • Keywords
    remote sensing; storms; weather forecasting; wind; AD 1999 07; JTWC; Joint Typhoon Warning Center; NESDIS; NHC; National Environmental Satellite Data and Information Service; National Hurricane Center; QuikSCAT effectiveness; SeaWind satellite; UHR image; hurricane eye center; image rendering; mesoscale feature; ocean surface; pencil-beam scatterometer; rain contamination; tropical cyclone determination; ultra-high resolution; weather forecasting; wind; Earth; Hurricanes; Image analysis; Image resolution; Laboratories; Remote sensing; Rendering (computer graphics); Storms; Tropical cyclones; Wind speed; Remote sensing; resolution enhancement; storms; weather forecasting; wind;
  • 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.2008.4778866
  • Filename
    4778866