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Open AccessJournal ArticleDOI

Ocean rogue waves and their phase space dynamics in the limit of a linear interference model.

TLDR
Time series analysis as well as the appearance of particular focusing wind conditions may enable an effective forecast of such rogue-wave prone situations, and extracting the dimension from ocean time series allows much more specific estimation of the rogue wave probability.
Abstract
We reanalyse the probability for formation of extreme waves using the simple model of linear interference of a finite number of elementary waves with fixed amplitude and random phase fluctuations. Under these model assumptions no rogue waves appear when less than 10 elementary waves interfere with each other. Above this threshold rogue wave formation becomes increasingly likely, with appearance frequencies that may even exceed long-term observations by an order of magnitude. For estimation of the effective number of interfering waves, we suggest the Grassberger-Procaccia dimensional analysis of individual time series. For the ocean system, it is further shown that the resulting phase space dimension may vary, such that the threshold for rogue wave formation is not always reached. Time series analysis as well as the appearance of particular focusing wind conditions may enable an effective forecast of such rogue-wave prone situations. In particular, extracting the dimension from ocean time series allows much more specific estimation of the rogue wave probability.

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Citations
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Journal ArticleDOI

On the shape and likelihood of oceanic rogue waves

TL;DR: The rogue wave probability of occurrence is analyzed in the context of ST extreme value distributions, and it is concluded that rogue waves are more likely than previously reported.
Journal ArticleDOI

The sinking of the El Faro: predicting real world rogue waves during Hurricane Joaquin.

TL;DR: High-resolution hindcast of hurricane-generated sea states and wave simulations are combined with novel probabilistic models to quantify the likelihood of rogue wave conditions and show that the largest simulated wave is generated by the constructive interference of elementary spectral components enhanced by bound nonlinearities.
Journal ArticleDOI

Extreme and superextreme events in a loss-modulated CO 2 laser: Nonlinear resonance route and precursors

TL;DR: The probability of success or failure (false alarm) in the prediction of the extreme events, once a precursor is identified in the deterministic time series is computed, and it is shown that this probability depends on the accuracy with which the precursor is identify in the laser intensity time series.
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Anomalous wave statistics induced by abrupt depth change

TL;DR: In this paper, a normally distributed unidirectional wave-field is observed to become highly skewed and non-Gaussian upon encountering an abrupt change in depth, and it is observed that a normally-distributed wave-Field is observed in experiments to behave like a Gaussian wave.
Journal ArticleDOI

Can Rogue Waves Be Predicted Using Characteristic Wave Parameters

TL;DR: In this paper, the authors collate, quality control, and analyse the largest dataset of single point field measurements from surface following wave buoys to search for predictors of rogue wave occurrence, and they find that analysis of the sea state parameters in bulk yields no predictors, as the subset of seas containing rogue waves sits within the set of seas without.
References
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Journal ArticleDOI

Measuring the Strangeness of Strange Attractors

TL;DR: In this paper, the correlation exponent v is introduced as a characteristic measure of strange attractors which allows one to distinguish between deterministic chaos and random noise, and algorithms for extracting v from the time series of a single variable are proposed.
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Testing for nonlinearity in time series: the method of surrogate data

TL;DR: In this article, a statistical approach for identifying nonlinearity in time series is described, which first specifies some linear process as a null hypothesis, then generates surrogate data sets which are consistent with this null hypothesis and finally computes a discriminating statistic for the original and for each of the surrogate sets.

Measurements of wind-wave growth and swell decay during the Joint North Sea Wave Project (JONSWAP)

TL;DR: In this article, wave spectra were measured along a profile extending 160 kilometers into the North Sea westward from Sylt for a period of two weeks in 1968 and 1969, with particular emphasis on wave growth under stationary offshore wind conditions and the attenuation of swell in water of finite depth.
Journal ArticleDOI

Optical rogue waves

TL;DR: This work reports the observation of rogue waves in an optical system, based on a microstructured optical fibre, near the threshold of soliton-fission supercontinuum generation—a noise-sensitive nonlinear process in which extremely broadband radiation is generated from a narrowband input.
Journal ArticleDOI

Improved Surrogate Data for Nonlinearity Tests.

TL;DR: It is shown that nonlinear rescalings of a Gaussian linear stochastic process cannot be accounted for by a simple amplitude adjustment of the surrogates which leads to spurious detection of nonlinearity.
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