Efficient and accurate modeling of wave-driven flooding on coral reef-lined coasts: On the interpolation of parameterized boundary conditions

Many coral reef islands are low-lying, which in combination with population growth, sea level rise and possibly more frequent extreme weather events is likely to result in increased coastal risk (e.g. Storlazzi et al., 2015). On smaller scales of O(10 km) wave-driven coastal inundation can be accurately predicted with advanced models such as...

Including stochastic rainfall distributions in a probabilistic modelling approach for compound flooding due to tropical cyclones: A case study for Houston, Texas

Hurricanes impose great threats on coastal communities in terms of hazard and impact. Recent hurricanes like Harvey (Texas, 2017) and Idai (Mozambique, 2019) emphasize the global character of this threat. In the U.S., Hurricane Harvey tied with 2005's Hurricane Katrina as the costliest tropical cyclone on record, inflicting $125 billion in...

Investigating Uncertainty in Coastal Flood Risk Assessment in Small Island Developing States: A Case Study in São Tomé and Príncipe

Small Island Developing States (SIDS) are increasingly under threat of coastal flooding, which challenges the safety of their societies and vulnerable economies. The emergency of this issue, exacerbated by climate change, has alarmed international organisations and national governments that have been demanding for robust risk assessments to...

Computationally Efficient Modelling of Compound Flooding due to Tropical Cyclones with the Explicit Inclusion of Wave-Driven Processes: Research into the required processes and the implementation within the SFINCS model

Tropical cyclones (TCs) have tremendous impact on coastal communities in terms of damage due to flooding and high wind velocities, as shown by the recent hurricane season of 2017. Coastal flooding due to TCs can be contributed to different types of forcing (e.g. high offshore water levels, rainfall, etc.), or multiple at the same time (i.e....

Towards a rapid assessment flood forecasting system for the Southern California coast

Coastal inundation models are benefited by timeliness of the predictions, not only when it comes to real-time forecasting but also considering risk assessment studies and sensitivity analysis. Numerical models however are often subjected to a trade-off between accuracy and efficiency, especially when dealing with large geographic scales. In this...