• DocumentCode
    71876
  • Title

    A New Satellite-Based Indicator for Estimation of the Western North Pacific Tropical Cyclone Current Intensity

  • Author

    Xiao-Yong Zhuge ; Jian Guan ; Fan Yu ; Yuan Wang

  • Author_Institution
    Key Lab. of Mesoscale Severe Weather of the Minist. of Educ., Nanjing Univ., Nanjing, China
  • Volume
    53
  • Issue
    10
  • fYear
    2015
  • fDate
    Oct. 2015
  • Firstpage
    5661
  • Lastpage
    5676
  • Abstract
    A technique to estimate tropical cyclone (TC) current intensity based on geostationary satellite infrared window (IRW) and water vapor (WV) imagery is explored in this paper. First, to combine the advantages of the IRW imagery and the WV minus IRW (WV-IRW) imagery, a WV-IRW-to-IRW ratio (WIRa)-based indicator is proposed. This indicator not only can display the inner-core convection´s symmetrization level and vigor but also is able to screen out thin cirrus, stratospheric WV anomaly, and overshooting tops from average deep convection. It is highly correlated with the best track minimum sea-level pressure and thus used to estimate the western North Pacific TC current intensity. Detailed analyses have demonstrated that the WIRa-based indicator can further improve the estimation of TC current intensity alongside the existing algorithms. The WIRa-based indicator is designed based on the hypothesis that “overshooting top is more useful for forecasting than initial estimation,” and the satisfying results of the WIRa-based method perhaps provide indirect evidence to support this hypothesis in turn.
  • Keywords
    oceanographic regions; remote sensing; storms; weather forecasting; IRW imagery; WIRa-based indicator; WNP tropical cyclone current intensity estimation; deep convection; geostationary satellite; infrared window; innercore convection symmetrization level; satellite-based indicator; sea-level pressure; stratospheric water vapor anomaly; water vapor imagery; western North Pacific; Aircraft; Clouds; Databases; Estimation; Reconnaissance; Satellites; Tropical cyclones; Meteorology; remote sensing; satellite applications; tropical cyclone;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2015.2427035
  • Filename
    7110578