International audienceAs sea-level rises, the frequency of coastal marine flooding events is changing. For accurate assessments, several other factors must be considered as well, such as the variability of sea-level rise and storm surge patterns. Here, a global sensitivity analysis is used to provide quantitative insight into the relative importance of contributing uncertainties over the coming decades. The method is applied on an urban low-lying coastal site located in the north-western Mediterranean, where the yearly probability of damaging flooding could grow drastically after 2050 if sea-level rise follows IPCC projections. Storm surge propagation processes, then sea-level variability, and, later, global sea-level rise scenarios become successively important source of uncertainties over the 21st century. This defines research priorities that depend on the target period of interest. On the long term, scenarios RCP 6.0 and 8.0 challenge local capacities of adaptation for the considered site

No abstract

No abstract

No abstract

Video monitoring the nearshore can provide high-frequency remotely-sensed optical information from which morphological changes and hydrodynamic data can be derived. Although overlooked in most of the studies, it is acknowledged that camera viewing angles can substantially vary in time for a variety of reasons, reducing consistently data accuracy. This paper aims to identify the primary environmental parameters controlling camera shifts at the video monitoring station of Sète (SE France) and develops an empirical model to routinely reduce these deviations. Our model simulates camera movements with an excellent skill (BSS = 0.87) and shows that camera viewing angles' deviation is primarily controlled by the position of the sun during sunny days, making it predictable. This study opens new perspective to routinely improve camera geometry of video monitoring systems.