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Detecting nonlinearity in run-up on a natural beach

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Academic year: 2021

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Figure

Fig. 1. (a) An example of the run-up timeseries. Bullets indicate the points for which a forecast is made
Fig. 2. (A) The natural timeseries. (B) The surrogate created by appending parabolas with using S max , S min , dT , T equal to the mean of the values in library created by measuring these values in the natural series
Fig. 3. Bottom panel: The greyscale represents the correlation be- be-tween the forecast and the natural timeseries as a function of k and m, at d = 1t
Fig. 5. (A) Correlation as a function of d for the series presented in Fig. 2. (B) Optimum k as a function of d for the same cases.

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