Stochastic Tracking of Mesoscale Convective Systems: Evaluation in the West African Sahel

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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Stochastic Environmental Research and Risk Assessment, Springer Verlag (Germany), 2016, 30 (2), pp.681-691. 〈10.1007/s00477-015-1102-9〉
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https://hal.archives-ouvertes.fr/hal-01187153
Contributeur : Clémentine Prieur <>
Soumis le : mercredi 26 août 2015 - 11:30:56
Dernière modification le : vendredi 25 août 2017 - 16:54:38

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Alexandros Makris, Clémentine Prieur, Théo Vischel, Guillaume Quantin, Thierry Lebel, et al.. Stochastic Tracking of Mesoscale Convective Systems: Evaluation in the West African Sahel. Stochastic Environmental Research and Risk Assessment, Springer Verlag (Germany), 2016, 30 (2), pp.681-691. 〈10.1007/s00477-015-1102-9〉. 〈hal-01187153〉

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