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Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing
Published on: February 13, 2018
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Predicting ocean rogue waves from point measurements: An experimental study for unidirectional waves.
Will Cousins1, Miguel Onorato2,3, Amin Chabchoub4
1Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
Physical Review. E
|April 20, 2019
Summary
A new tool accurately predicts extreme rogue waves in water, offering early detection potential for similar events in physics and engineering. This precursor tool analyzes modulation instability to forecast wave field localizations.
Area of Science:
- Fluid dynamics
- Nonlinear physics
- Wave phenomena
Background:
- Rogue waves are extreme, localized wave events observed in various physical systems.
- Predicting rogue wave emergence is crucial for safety and operational efficiency in fields like marine engineering.
Purpose of the Study:
- To experimentally validate a reduced-order precursor tool for predicting rogue wave events.
- To assess the tool's effectiveness in forecasting extreme events caused by spatially localized modulation instability.
Main Methods:
- Laboratory experiments were conducted in two distinct water wave facilities.
- Unidirectional water waves were used to study rogue wave formation.
- A recently developed rogue-wave reduced-order precursor tool was applied to quantify prediction potentials.
Main Results:
- The experimental tests demonstrated that the precursor tool accurately predicts the deterministic and spontaneous emergence of extreme events.
- The tool's predictions were consistent across both water wave facilities.
- The study confirms the efficacy of the developed scheme for early-stage rogue wave detection.
Conclusions:
- The validated precursor tool shows significant potential for early detection of extreme wave events.
- The interdisciplinary approach suggests applicability to other nonlinear dispersive media, including optics, plasma, and solids.
- This research advances the understanding and prediction capabilities for rogue waves.
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