CALIBRATION OF SHORELINE PREDICTION MODEL USING ENSEMBLE KALMAN FILTER

The increasing greenhouse gas emissions induce global warming, leading to sea-level rise (SLR). In particular, climate change has already been becoming apparent in the coastal environment. The most significant variation due to SLR is shoreline change. A proper model that could predict the shoreline change on a large scale and a long-term is urgently needed. Models in different aggregation levels have been developed to study shoreline morphology in various spatial and temporal scales (e.g., Yates et al., 2011; Splinter et al., 2014). This study aims to discover the drivers of shoreline behavior and especially understand the wave climate’s impact on shoreline to reduce the uncertainty of shoreline in the long-term forecast.