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Stochastic tracking of mesoscale convective systems: evaluation in the West African Sahel

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Abstract

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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Authors and Affiliations

  1. ICS FORTH, Crete, Greece

    Alexandros Makris

  2. INRIA Grenoble, Grenoble, France

    Clémentine Prieur

  3. LTHE, Universit Joseph Fourier, Grenoble, France

    Théo Vischel, Guillaume Quantin & Thierry Lebel

  4. OMP/LEGOS/CNRS, Toulouse, France

    Rémy Roca

Authors
  1. Alexandros Makris
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  2. Clémentine Prieur
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  3. Théo Vischel
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  4. Guillaume Quantin
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  5. Thierry Lebel
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  6. Rémy Roca
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Correspondence to Alexandros Makris.

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Makris, A., Prieur, C., Vischel, T. et al. Stochastic tracking of mesoscale convective systems: evaluation in the West African Sahel. Stoch Environ Res Risk Assess 30, 681–691 (2016). https://doi.org/10.1007/s00477-015-1102-9

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  • DOI: https://doi.org/10.1007/s00477-015-1102-9

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