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Exploring the Signature of the Apollo Medicane in the Central Mediterranean Sea Through Multi-source Data Analysis: Satellites, Radar HF, Marine Buoys, and Seismic Data in October 2021

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Computational Science and Its Applications – ICCSA 2023 Workshops (ICCSA 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14111))

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Abstract

In the last decades, the frequency of extreme weather and marine events has drastically increased. During the last week of October 2021 an intense Mediterranean hurricane (Medicane), named Apollo, affected many countries on the Mediterranean coasts. Eight people died as a consequence of the floodings from the cyclone in the countries of Tunisia, Algeria, Malta, and Italy. A preliminary search for possible signatures of the Apollo Medicane by meteorological satellite, radar HF, marine buoy, and seismic data is performed. This was done in a framework of an international collaboration between Italian and Maltese partners for the monitoring of the sea state in scenarios of climate change. The experimental results confirm, at this preliminary stage, the possibility and the usefulness of jointly looking at such phenomena with multiple aims of retrieving a more robust characterization, having a backup alternative in case a primary monitoring network gets failure, and pathing the way to heuristic and data-driven analytical and predictive approaches to Medicanes issues.

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Acknowledgement

The authors acknowledge the financial support of i-waveNET project “Implementazione di un sistema innovativo di monitoraggio dello stato del mare in scenari di cambiamento climatico”, cod. C2 3.2 106, Program INTERR EG V A Italia-Malta 2014 2020 (Interreg V-A Cross Border Cooperation Italia–Malta projects).

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Authors and Affiliations

  1. Department of Geosciences, University of Malta, Msida, Malta

    Luca Piroddi, Adam Gauci, Rami Kalfouni, Matthew R. Agius & Sebastiano D’Amico

  2. Italian Air Force Meteorological Service - CNMCA, Rome, Italy

    Davide Melfi

  3. Dipartimento di Scienze Biologiche, Geologiche ed Ambientali - Sezione di Scienze della Terra, Università degli Studi di Catania, Catania, Italy

    Alfio Marco Borzì, Andrea Cannata & Vittorio Minio

  4. Istituto Nazionale di Geofisica e Vulcanologia - Sezione di Catania, Osservatorio Etneo, Catania, Italy

    Andrea Cannata & Flavio Cannavò

  5. Centro Nazionale per la Caratterizzazione Ambientale e la Protezione della Fascia Costiera, la Climatologia Marina e l’Oceanografa Operativa, Italian National Institute for Environmental Protection and Research, Rome, Italy

    Arianna Orasi

  6. Consiglio Nazionale delle Ricerche, Via del Mare, 3 Torretta Granitola, 91021, Fraz. Campobello di Mazara, Tp, Italy

    Salvatore Aronica

  7. University of Palermo, Palermo, Italy

    Giuseppe Ciraolo

Authors
  1. Luca Piroddi
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  2. Adam Gauci
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  3. Rami Kalfouni
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  4. Matthew R. Agius
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  7. Andrea Cannata
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  8. Flavio Cannavò
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  9. Vittorio Minio
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  10. Arianna Orasi
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  11. Salvatore Aronica
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  12. Giuseppe Ciraolo
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  13. Sebastiano D’Amico
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Corresponding author

Correspondence to Luca Piroddi .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Basilicata, Potenza, Italy

    Francesco Scorza

  6. University of Massachusetts Medical School, Worcester, MA, USA

    Yeliz Karaca

  7. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

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Piroddi, L. et al. (2023). Exploring the Signature of the Apollo Medicane in the Central Mediterranean Sea Through Multi-source Data Analysis: Satellites, Radar HF, Marine Buoys, and Seismic Data in October 2021. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2023 Workshops. ICCSA 2023. Lecture Notes in Computer Science, vol 14111. Springer, Cham. https://doi.org/10.1007/978-3-031-37126-4_39

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  • DOI: https://doi.org/10.1007/978-3-031-37126-4_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-37125-7

  • Online ISBN: 978-3-031-37126-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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