Climate Risk Assessment under Uncertainty: An Application to Main European Coastal Cities

This paper analyses the risk of extreme coastal events in major European coastal cities using a stochastic diffusion model that is calibrated with the worst case emission scenario from the Intergovernmental Panel for Climate Change (IPCC), i.e. the representative concentration pathway (RCP) 8.5. The...

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Bibliographic Details
Published in:Frontiers in Marine Science Vol. 3
Main Authors: Abadie, Luis M., Sainz de Murieta, Elisa, Galarraga, Ibon
Format: Journal Article
Language:English
Published: Lausanne Frontiers Research Foundation 16-12-2016
Frontiers Media S.A
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Summary:This paper analyses the risk of extreme coastal events in major European coastal cities using a stochastic diffusion model that is calibrated with the worst case emission scenario from the Intergovernmental Panel for Climate Change (IPCC), i.e. the representative concentration pathway (RCP) 8.5. The model incorporates uncertainty in the sea-level rise distribution. Expected mean annual losses are calculated for 19 European coastal cities, together with two risk measures: the Value at Risk (VaR) and the Expected Shortfall (ES). Both measures are well-known in financial economics and enable us to calculate the impact of the worst SLR paths under uncertainty. The results presented here can serve as valuable inputs for cities in deciding how much risk they are willing to accept, and consequently how much adaptation they need depending on the risk aversion of their decision-makers.
ISSN:2296-7745
2296-7745
DOI:10.3389/fmars.2016.00265