Simulation of Wave Time Series with a Vector Autoregressive Method

Joint time series of wave height, period and direction are essential input data to computational models which used simulate diachronic beach evolution in coastal engineering. However, it is often impractical collect a large amount the required due expense. Based on nearshore records offshore Littlehampton Southeast England over from 1 September 2003 30 June 2016, this paper presents statistical method obtain simulated joint covering an extended span decade or more. The based vector auto-regressive moving average algorithm. times shows satisfactory degree stochastic agreement between original series, including value, marginal distribution, autocorrelation cross-correlation structure, important for Monte Carlo modelling shoreline evolution, thereby allowing ensemble prediction response variable climate.