A sequential analysis method for the prediction of tropical hurricanes

Alexandr I. Sukov, Vladimir Y. U. Soldatov, Vladimir F. Krapivin, Arthur P. Cracknell, Costas A. Varotsos

    Research output: Contribution to journalArticle

    11 Citations (Scopus)

    Abstract

    Transition processes between different situations in the ocean-atmosphere system are studied by means of the methods of sequential analysis. An instability indicator is introduced to be used as the generalized characteristics of the state for this system. The indicator is evaluated based on the data obtained from the TAO/TRITON&PIRATA system of anchored buoys and other meteorological stations located in the tropical zone of the World's oceans. It is shown that the combination of sequential and cluster analysis with the percolation model allows the detection of a tropical hurricane 1-2 days in advance of its initiation.

    Original languageEnglish
    Pages (from-to)2787-2798
    Number of pages12
    JournalInternational Journal of Remote Sensing
    Volume29
    Issue number9
    DOIs
    Publication statusPublished - 2008

    Cite this

    Sukov, A. I., Soldatov, V. Y. U., Krapivin, V. F., Cracknell, A. P., & Varotsos, C. A. (2008). A sequential analysis method for the prediction of tropical hurricanes. International Journal of Remote Sensing, 29(9), 2787-2798. https://doi.org/10.1080/01431160801927228