Here, we show that location of an upcoming rogue wave can be inferred, well in advance, from spatial distribution of energy flux across the ocean surface. We use a statistical approach, and by investigating hundreds of numerical rogue wave realizations in weakly nonlinear wave fields establish a quantitative metric via which predictions can be made. Direct simulations are performed by a higher-order spectral method (HOS), and JONSWAP distribution is used to initialize the wave field. The presented metric may establish a readily achievable measure to identify turbulent locations within a sea, through which timely preventive measures can be taken to minimize damages to lives and properties.
Volume Subject Area:
Structures, Safety and Reliability
Topics:
Flux (Metallurgy),
Waves,
Damage,
Engineering simulation,
Nonlinear waves,
Oceans,
Seas,
Simulation,
Turbulence
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