Articles | Volume 16, issue 1
https://doi.org/10.5194/nhess-16-195-2016
https://doi.org/10.5194/nhess-16-195-2016
Research article
 | 
20 Jan 2016
Research article |  | 20 Jan 2016

Estimation of insurance-related losses resulting from coastal flooding in France

J. P. Naulin, D. Moncoulon, S. Le Roy, R. Pedreros, D. Idier, and C. Oliveros

Related authors

Analyzing past and future droughts that induce clay shrinkage in France using an index based on water budget simulation for trees
Sophie Barthelemy, Bertrand Bonan, Miquel Tomas-Burguera, Gilles Grandjean, Séverine Bernardie, Jean-Philippe Naulin, Patrick Le Moigne, Aaron Boone, and Jean-Christophe Calvet
EGUsphere, https://doi.org/10.5194/egusphere-2024-1079,https://doi.org/10.5194/egusphere-2024-1079, 2024
Short summary

Related subject area

Sea, Ocean and Coastal Hazards
A systemic and comprehensive assessment of coastal hazard changes: method and application to France and its overseas territories
Marc Igigabel, Marissa Yates, Michalis Vousdoukas, and Youssef Diab
Nat. Hazards Earth Syst. Sci., 24, 1951–1974, https://doi.org/10.5194/nhess-24-1951-2024,https://doi.org/10.5194/nhess-24-1951-2024, 2024
Short summary
Simulating sea level extremes from synthetic low-pressure systems
Jani Särkkä, Jani Räihä, Mika Rantanen, and Matti Kämäräinen
Nat. Hazards Earth Syst. Sci., 24, 1835–1842, https://doi.org/10.5194/nhess-24-1835-2024,https://doi.org/10.5194/nhess-24-1835-2024, 2024
Short summary
Nonlinear processes in tsunami simulations for the Peruvian coast with focus on Lima and Callao
Alexey Androsov, Sven Harig, Natalia Zamora, Kim Knauer, and Natalja Rakowsky
Nat. Hazards Earth Syst. Sci., 24, 1635–1656, https://doi.org/10.5194/nhess-24-1635-2024,https://doi.org/10.5194/nhess-24-1635-2024, 2024
Short summary
The potential of global coastal flood risk reduction using various DRR measures
Eric Mortensen, Timothy Tiggeloven, Toon Haer, Bas van Bemmel, Dewi Le Bars, Sanne Muis, Dirk Eilander, Frederiek Sperna Weiland, Arno Bouwman, Willem Ligtvoet, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 24, 1381–1400, https://doi.org/10.5194/nhess-24-1381-2024,https://doi.org/10.5194/nhess-24-1381-2024, 2024
Short summary
Modeling tsunami initial conditions due to rapid coseismic seafloor displacement: efficient numerical integration and a tool to build unit source databases
Alice Abbate, José M. González Vida, Manuel J. Castro Díaz, Fabrizio Romano, Hafize Başak Bayraktar, Andrey Babeyko, and Stefano Lorito
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-41,https://doi.org/10.5194/nhess-2024-41, 2024
Revised manuscript under review for NHESS
Short summary

Cited articles

André, C., Monfort, D., Bouzit, M., and Vinchon, C.: Contribution of insurance data to cost assessment of coastal flood damage to residential buildings: insights gained from Johanna (2008) and Xynthia (2010) storm events, Nat. Hazards Earth Syst. Sci., 13, 2003–2012, https://doi.org/10.5194/nhess-13-2003-2013, 2013.
Ardhuin, F., Rogers, A., Babanin, A., Filipot, J. F., Magne, R., Roland, R., Westhuysen, A. V. D., Queffleulou, P., Lefevre, L., Aouf, L., and Collard, F.: Semi-empirical dissipation source functions for ocean waves: 5 Part I, definition, calibration and validation, J. Phys. Oceanogr., 40, 1917–1941, 2010.
Aronica, G., Bates, P. D., and Horritt, M. S.: Assessing the Uncertainty in Distributed Model Predictions Using Observed Binary Pattern Information within GLUE, Hydrol. Process., 16, 2001–2016, 2002.
Bates, P. D., Dawson, R. J., Hall, J. W., Horritt, M. S., Nicholls, R. J., Wicks, J., and Mohamed Ahmed Ali Mohamed Hassan: Simplified two-dimensional numerical modelling of coastal flooding and example applications, Coast. Eng., 52, 793–810, 2005.
Bates, P. D., Horritt, M. S., and Fewtrell, T. J.: A simple inertial formulation of the shallow water equations for efficient two-dimensional flood inundation modelling, J. Hydrol., 387, 33–45, 2010.
Download
Short summary
A model has been developed in order to estimate insurance-related losses caused by coastal flooding in France. It aims to identify the potential flood-impacted sectors and the subsequent insured losses a few days after the occurrence of a storm surge event on any part of the French coast. This system shows satisfactory results in the estimation of the losses related to Xynthia storm surge, which was used for the model's calibration.
Altmetrics
Final-revised paper
Preprint