Surrogate models, also referenced as metamodels, have emerged attractive data-driven, predictive models for storm surge estimation. They are calibrated based on an existing database of synthetic simulations and can provide fast-to-compute approximations the expected surge, replacing numerical model that was used to establish this database. This paper discusses specifically development a kriging...

Rising global sea level increases the vulnerability of coastal regions to storm surge flooding. The impact of extreme high waters resulting from the combination of tidal oscillations and changes in mean sea level and in storm surges during the 21st century has been explored in the Bizkaian coast (northern Spain). Mean sea level variations due to temperature changes were estimated from an ensemb...

A significant portion of the Canadian Maritime coastline has been surveyed with airborne Light Detection and Ranging (LiDAR). The purpose of these surveys has been to map the risk of flooding from storm surges and projected long-term sea-level rise from climate change and to include projects in all three Maritime Provinces: Prince Edward Island, New Brunswick, and Nova Scotia. LiDAR provides th...

Observed extreme sea levels are caused by a combination of astronomical tide and storm surge, or an value in one these variables moderate the other. We analyzed measurements from Norwegian gauge network together with track data to assess cases level surges. At most stations highest surges only coincided tides vice versa . Simultaneously often intensities. This opens for possibility flooding eve...