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Percorrer por autor "Cocco, Michele"

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  • A relocatable ocean model in support of environmental emergencies
    Publication . De Dominicis, Michela; Falchetti, Silvia; Trotta, Francesco; Pinardi, Nadia; Giacomelli, Luca; Napolitano, Ernesto; Fazioli, Leopoldo; Sorgente, Roberto; Haley, Patrick J., Jr.; Lermusiaux, Pierre F. J.; Martins, Flavio; Cocco, Michele
    During the Costa Concordia emergency case, regional, subregional, and relocatable ocean models have been used together with the oil spill model, MEDSLIK-II, to provide ocean currents forecasts, possible oil spill scenarios, and drifters trajectories simulations. The models results together with the evaluation of their performances are presented in this paper. In particular, we focused this work on the implementation of the Interactive Relocatable Nested Ocean Model (IRENOM), based on the Harvard Ocean Prediction System (HOPS), for the Costa Concordia emergency and on its validation using drifters released in the area of the accident. It is shown that thanks to the capability of improving easily and quickly its configuration, the IRENOM results are of greater accuracy than the results achieved using regional or subregional model products. The model topography, and to the initialization procedures, and the horizontal resolution are the key model settings to be configured. Furthermore, the IRENOM currents and the MEDSLIK-II simulated trajectories showed to be sensitive to the spatial resolution of the meteorological fields used, providing higher prediction skills with higher resolution wind forcing.
    2014-05Artigo científico Acesso aberto Ver mais
  • THETIDA: enhanced resilience and sustainable preservation of underwater and coastal cultural heritage
    Publication . Michalis, Panagiotis; Mazzoli, Claudio; Karathanassi, Vassilia; Kaya, Deniz Ikiz; Martins, Flávio; Cocco, Michele; Guy, Anaïs; Amditis, Angelos
    The THETIDA project addresses climate change threats, utilizing a holistic approach to safeguard Europe's coastal and underwater cultural heritage. Employing environmental modeling for specific climate change scenarios, the project conducts quantitative and qualitative impact assessments, combining environmental and pollution analyses at seven pilot sites across Europe. The developed and deployed technology includes sensors, satellite image processing, smart buoys, AUVs, wearables and crowdsourcing applications supported by ocean forecasting and hazard mapping services. The obtained datasets inform adaptive strategies through a Decision Support System with enhanced visualization capabilities and aim to support sustainable plans for cultural heritage preservation and resilient, climate-neutral policies.
    2024-07-07Comunicação em conferência Acesso restrito Ver mais