Evaluating uncertainties of future marine flooding occurrence as sea-level rises. (November 2015)

• Record Type: Journal Article
• Authors: Le Cozannet, Gonéri; Rohmer, Jeremy; Cazenave, Anny; Idier, Déborah; van de Wal, Roderik; de Winter, Renske; Pedreros, Rodrigo; Balouin, Yann; Vinchon, Charlotte; Oliveros, Carlos
• Is Part Of: Environmental modelling & software. Volume 73(2015:Nov.)
• Page Start: 44
• Page End: 56
• Publication Date: 2015-11
• Subjects: Marine flooding -- Sea-level rise -- Low-lying coastal areas -- Global sensitivity analysis -- Uncertainties -- Climate change scenarios -- Adaptation; Environmental monitoring -- Computer programs -- Periodicals; Ecology -- Computer simulation -- Periodicals; Digital computer simulation -- Periodicals; Computer software -- Periodicals; Environmental Monitoring -- Periodicals; Computer Simulation -- Periodicals; Environnement -- Surveillance -- Logiciels -- Périodiques; Écologie -- Simulation, Méthodes de -- Périodiques; Simulation par ordinateur -- Périodiques; Logiciels -- Périodiques; Computer software; Digital computer simulation; Ecology -- Computer simulation; Environmental monitoring -- Computer programs; Periodicals; Electronic journals; 363.70015118
• DOI: 10.1016/j.envsoft.2015.07.021
• Languages: English
• ISSNs: 1364-8152

Abstract

Abstract: As 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. Highlights: Future coastal flooding depends on sea-level rise and other uncertain coastal factors. We use a dynamic global sensitivity analysis to assess these sources of uncertainties. We apply the method at a low-lying urban French Mediterranean coastal site. Here, coastal processes are dominant sources of uncertainties for the coming decades. Uncertainties on sea-level rise and climate change scenarios prevail after 2080.