• DocumentCode
    42925
  • Title

    A Comparison of HY-2 and QuikSCAT Vector Wind Products for Tropical Cyclone Track and Intensity Development Monitoring

  • Author

    Dengrong Zhang ; Yuzhou Zhang ; Tangao Hu ; Bin Xie ; JunFeng Xu

  • Author_Institution
    Inst. of Remote Sensing & Earth Sci., Hangzhou Normal Univ., Hangzhou, China
  • Volume
    11
  • Issue
    8
  • fYear
    2014
  • fDate
    Aug. 2014
  • Firstpage
    1365
  • Lastpage
    1369
  • Abstract
    China is the country worst affected by tropical cyclones in the Asia-Pacific region. The use of remote sensing data can help improve emergency preparedness for such events. In this letter, we evaluate the performance of HY-2 scatterometer data for monitoring Saola, Haikui, and Usagi typhoons, and consider QuikSCAT data for Florence, Ioke, and Gorden hurricanes. We use the means and standard deviation of the great circle distance to assess the typhoon track, and the t-test, mean error, and scatter index to evaluate the accuracy of typhoon intensity. Our results show that the HY-2 has the ability similar to that of QuikSCAT, suggesting that HY-2 has potential for application in typhoon monitoring.
  • Keywords
    remote sensing; storms; wind; Asia-Pacific region; China; Florence hurricane; Gorden hurricane; HY-2 scatterometer data performance; HY-2 vector wind product comparison; Haikui typhoon monitoring; Ioke hurricane; QuikSCAT data; QuikSCAT vector wind product comparison; Saola typhoon monitoring; Usagi typhoon monitoring; great circle distance; improve emergency preparedness; mean error; remote sensing data; scatter index; standard deviation; t-test; tropical cyclone intensity development monitoring; tropical cyclone track development monitoring; typhoon intensity accuracy evaluation; typhoon monitoring application; typhoon track assessment; Monitoring; Radar measurements; Remote sensing; Standards; Typhoons; Vectors; Wind speed; HY-2; QuikSCAT; intensity; monitoring; scatterometer; track; tropical cyclone (TC);
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2013.2293496
  • Filename
    6697887