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A relocatable ocean model in support of environmental emergencies

Author(s)
Dominicis, Michela De; Falchetti, Silvia; Trotta, Francesco; Pinardi, Nadia; Giacomelli, Luca; Napolitano, Ernesto; Fazioli, Leopoldo; Sorgente, Roberto; Martins, Flavio; Cocco, Michele; Haley, Patrick; Lermusiaux, Pierre F. J.; ... Show more Show less
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Abstract
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.
Date issued
2014-04
URI
http://hdl.handle.net/1721.1/98276
Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Journal
Ocean Dynamics
Publisher
Springer-Verlag
Citation
Dominicis, Michela De, Silvia Falchetti, Francesco Trotta, Nadia Pinardi, Luca Giacomelli, Ernesto Napolitano, Leopoldo Fazioli, et al. “A Relocatable Ocean Model in Support of Environmental Emergencies.” Ocean Dynamics 64, no. 5 (April 24, 2014): 667–688.
Version: Author's final manuscript
ISSN
1616-7341
1616-7228

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