• DocumentCode
    2447405
  • Title

    Application of TCFM cloud motion wind data in the analysis study of Typhoon Morakot(0908)

  • Author

    Wang, Zhenhui ; Zhang, Lei

  • Author_Institution
    Key Lab. of Meteorol. Disaster of Minist. of Educ. KLME, Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1987
  • Lastpage
    1990
  • Abstract
    TCFM cloud motion wind technique is a new technique for tracking cloud with combination of Fourier phase analysis and maximum correlation (TCFM) to improve the precision of cloud tracking. In this article, TCFM technique is employed to retrieve cloud motion vectors for severe tropical storm “Morakot” from geostationary meteorological satellite FY-2C image series with a 30min interval on August, 2009. The retrieved data are assimilated at 1h interval into the numerical model ARPS (the Advanced Regional Prediction System) by means of its data analysis system ADAS for forecasting, and the first six hours before landing process of Typhoon “Morakot” was simulated. By comparison the result with sounding data assimilated into the initial field, concluded that the simulation result of continuous assimilation of the TCFM data shows a strong advantage in the forecast of storms and precipitation in the typhoon eye wall region.
  • Keywords
    clouds; storms; weather forecasting; AD 2009 08; Advanced Regional Prediction System; Fourier phase analysis; TCFM cloud motion wind data; TCFM cloud motion wind technique; cloud tracking technique; data analysis system; geostationary meteorological satellite; maximum correlation; sounding data; typhoon Morakot; typhoon eye wall region; Clouds; Meteorology; Remote sensing; Satellite broadcasting; Satellites; Tracking; Typhoons; TCFM technique; cloud motion vectors; data assimilation; typhoon simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5964692
  • Filename
    5964692