A hybrid efficient method to downscale wave climate to coastal areas

摘要: Long-term time series of sea state parameters are required in different coastal engineering applications. In order to obtain wave data at shallow water and due the scarcity instrumental data, ocean reanalysis databases ought be downscaled increase spatial resolution simulate transformation process. this paper, a hybrid downscaling methodology transfer climate areas has been developed combining numerical model (dynamical downscaling) with mathematical tools (statistical downscaling). A maximum dissimilarity selection algorithm (MDA) is applied representative subset states deep areas. The reduced number selected cases spans marine variability, guaranteeing that all possible represented capturing even extreme events. These propagated using state-of-the-art propagation model. particular location reconstructed non-linear interpolation technique based on radial basis functions (RBFs), providing excellent results high dimensional space scattered as occurs MDA. validation confirms ability reconstruct estimate considerable reduction computational effort.