Performance evaluation of wave input reduction techniques for modeling inter-annual sandbar dynamics

In process-based numerical models, reducing the amount of input parameters, known as input reduction (IR), is often required to reduce the computational effort of these models and to enable long-term, ensemble predictions. Currently, a comprehensive performance assessment of IR-methods is lacking, which hampers guidance on selecting suitable...

Understanding coastal erosion processes at the Korean east coast

On the Generic Utilization of Probabilistic Methods for Quantification of Uncertainty in Process-based Morhpodynamic Model Applications

A variety of uncertainty sources are inherent in process-based morphodynamic modelling applications. There is an increasing demand for the quantification of these uncertainties. This contribution introduces a probabilistic-morphodynamic (PM) modelling framework that enables this quantification. The PM modelling framework provides a systematic...

Simulating the large-scale spatial sand-mud distribution in a schematized process-based tidal inlet system model

Tidal basins, as found in the Dutch Wadden Sea, are characterized by strong spatial variations in bathymetry and sediment distribution. In this contribution, the aim is at simulating the spatial sand-mud distribution of a tidal basin. Predicting this spatial distribution is however complicated, due to the non-linear interactions between tides,...