Stochastic tracking of mesoscale convective systems: evaluation in the West African Sahel
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  • 作者:Alexandros Makris ; Clémentine Prieur…
  • 刊名:Stochastic Environmental Research and Risk Assessment (SERRA)
  • 出版年:2016
  • 出版时间:February 2016
  • 年:2016
  • 卷:30
  • 期:2
  • 页码:681-691
  • 全文大小:1,190 KB
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  • 作者单位:Alexandros Makris (1)
    Clémentine Prieur (2)
    Théo Vischel (3)
    Guillaume Quantin (3)
    Thierry Lebel (3)
    Rémy Roca (4)

    1. ICS FORTH, Crete, Greece
    2. INRIA Grenoble, Grenoble, France
    3. LTHE, Universit Joseph Fourier, Grenoble, France
    4. OMP/LEGOS/CNRS, Toulouse, France
  • 刊物类别:Earth and Environmental Science
  • 刊物主题:Environment
    Mathematical Applications in Environmental Science
    Mathematical Applications in Geosciences
    Probability Theory and Stochastic Processes
    Statistics for Engineering, Physics, Computer Science, Chemistry and Geosciences
    Numerical and Computational Methods in Engineering
    Waste Water Technology, Water Pollution Control, Water Management and Aquatic Pollution
  • 出版者:Springer Berlin / Heidelberg
  • ISSN:1436-3259
文摘
In this work we apply a recently proposed Bayesian multiple target tracking model to mesoscale convective systems tracking. This stochastic model follows the multiple hypothesis tracking paradigm and can handle a varying number of targets while detecting the target birth, death, split, and merge events. The model is tested experimentally with real MCS targets detected from meteosat IR data over the Sahelian region. The performance of the stochastic tracking is evaluated by comparing it qualitatively and quantitatively with well established deterministic methods.

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