A Statistical Learning Approach to Mediterranean Cyclones

• URL: http://arxiv.org/abs/2501.15694v1
• Date: Sun, 26 Jan 2025 22:46:11 GMT
• Title: A Statistical Learning Approach to Mediterranean Cyclones
• Authors: L. Roveri, L. Fery, L. Cavicchia, F. Grotto,
• Abstract summary: We show how a Bayesian algorithm can classify Mediterranean cyclones relying on wind velocity data. We use supervised statistical learning techniques for detecting and tracking new cyclones.
• Score: 0.0
• License:
• Abstract: Mediterranean cyclones are extreme meteorological events of which much less is known compared to their tropical, oceanic counterparts. The raising interest in such phenomena is due to their impact on a region increasingly more affected by climate change, but a precise characterization remains a non trivial task. In this work we showcase how a Bayesian algorithm (Latent Dirichlet Allocation) can classify Mediterranean cyclones relying on wind velocity data, leading to a drastic dimensional reduction that allows the use of supervised statistical learning techniques for detecting and tracking new cyclones.

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