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

  • Alexandros Makris
  • Clémentine Prieur
  • Théo Vischel
  • Guillaume Quantin
  • Thierry Lebel
  • Rémy Roca
Original Paper

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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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Alexandros Makris
    • 1
  • Clémentine Prieur
    • 2
  • Théo Vischel
    • 3
  • Guillaume Quantin
    • 3
  • Thierry Lebel
    • 3
  • Rémy Roca
    • 4
  1. 1.ICS FORTHCreteGreece
  2. 2.INRIA GrenobleGrenobleFrance
  3. 3.LTHEUniversit Joseph FourierGrenobleFrance
  4. 4.OMP/LEGOS/CNRSToulouseFrance

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