... assessment. The wave conditions used originate from wave buoy measurements and hindcast data. Overall, the good agreement between full-scale measurements and calculations confirms the suitability of spectral methods for determining fatigue damage. When incomplete information is available, which is often true...

.... pot extreme artificial intelligence mode amplitude threshold time series extreme n-year current profile target probability surface current speed hindcast data return period current profile n-year current profile nonparametric method machine learning extreme value analysis exceedance...

... diagram using 1000 years of simulated data from the GEM42 hindcast model. The hindcast data consist of mode shapes and amplitudes of the first three empirical orthogonal functions (EOFs) of the LCE. The statistics of the amplitudes of the three EOF modes are carefully investigated to find relevant trends...

... phases, it was crucial to find the most accurate way to predict weather downtime during construction and hence assess the interim construction fatigue exposure. Workability assessments using detailed hindcast data, accurate wave forecasting and offshore decision support assisted to control the fatigue...

... from a variety of sources such as weather ships, buoys and fixed offshore towers are given. The applicability of the hindcast data as a primary source of long term wave statistics such as spectral families, persistance and exceedance probabilities and extrapolated design wave heights are illustrated...

... probability distribution function for the largest wave in Y years from historical wave data was developed. The historical wave data base was generated by hindcasting the more severe historical hurricanes which occurred between 1900-1974. Finally, the model was applied with the hindcast data and sample results...