Figure

Change in the frequency of flooding events under projected sea level rise

Figure Created 25 May 2016 Published 20 Dec 2016 Last modified 28 Aug 2017

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Topics: Climate change adaptation

This map shows the estimated multiplication factor, by which the frequency of flooding events of a given height changes between 2010 and 2100 due to projected regional sea relative level rise under the RCP4.5 scenario. Values larger than 1 indicate an increase in flooding frequency

https://www.eea.europa.eu/data-and-maps/figures/increase-in-the-frequency-of-1/clim012_fig7-20742/image_large

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Metadata

Methodology:: http://dx.doi.org/10.1007/s10584-011-0332-1,
http://dx.doi.org/10.1016/j.oceaneng.2012.12.041
Units:: Dimensionless (multiplication factor)
Rights:: EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
Owners:: European Environment Agency (EEA)
Processors:: Intergovernmental Panel on Climate Change (IPCC)
Figure type:: Map

Additional information

Source: Adapted from Figure 13.25(b) of the Working Group I contribution to the IPCC Fifth Assessment Report (http://www.climatechange2013.org/images/figures/WGI_AR5_Fig13-25.jpg)

Sea-level data from tide gauges were supplied by European Sea-Level Service, Global Sea Level Observing System (GLOSS) Delayed Mode Centre, Helpdesk Water (Netherlands), Instituto Español de
Oceanographia (Spain), Istituto Talassografico di Trieste (Italy), Marine Environmental Data Service (Canada), National Oceanography Centre Liverpool (UK), National Tidal Centre (Bureau of Meteorology, Australia), Norwegian Mapping Authority, Service Hydroographique et Océanographique de la Marine (France), Swedish Meteorological and Hydrological Institute and University of Hawaii Sea Level Centre (USA). Sea-level rise projections are based on the CMIP5 ensemble of global climate models.