• DocumentCode
    3306840
  • Title

    A new approach to forecast the typhoon´s accumulated rainfall in Taiwan by using satellite data

  • Author

    Liu, Chung-Chih ; Chi, Sung-Ching ; Yang, Hsin-Chia

  • Author_Institution
    Minghsin Univ. of Sci. & Technol., Hsinchu, Taiwan
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    4690
  • Lastpage
    4693
  • Abstract
    When Typhoon Morakot (2009) swept across Taiwan, the severe devastation inflicted by the torrential rainfall was unprecedented. The unfortunate destruction stemmed from the large amount of precipitable water the typhoon carried, coupled with the long period of time Taiwan was under its influence. Although typhoon forecasting has been improved notably over the years, it remains a difficult challenge to make timely and accurate rainfall forecasts, which is crucial to saving lives and reducing damage. Consequently, it continues to be an important task for researchers to develop a quick and efficient typhoon accumulated rainfall estimation method. In this study, the Rainfall Potential Analog Forecasting technique (RaPAF) is proposed in predicting the accumulated rainfall distribution when a typhoon makes landfall in Taiwan. In the case study of Typhoon Morakot (2009), it is proven that the method not only provided a more accurate accumulated rainfall distribution prediction, but the probable mapping of maximum precipitation areas was also close to the actual observations.
  • Keywords
    disasters; rain; storms; weather forecasting; AD 2009; RaPAF; Rainfall Potential Analog Forecasting technique; Taiwan; Typhoon Morakot; maximum precipitation areas mapping; precipitable water; torrential rainfall; typhoon accumulated rainfall; typhoon forecasting; weather forecast; Decision support systems; Forecasting; High definition video; Typhoons; Accumulated Rainfall; Rainfall Potential Analog Forecasting technique; Typhoon Morakot (2009);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5649911
  • Filename
    5649911