Articles | Volume 15, issue 6
https://doi.org/10.5194/nhess-15-1135-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-15-1135-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
How historical information can improve estimation and prediction of extreme coastal water levels: application to the Xynthia event at La Rochelle (France)
T. Bulteau
CORRESPONDING AUTHOR
BRGM, 3 avenue C. Guillemin, 45060 Orléans Cedex 2, France
BRGM, 3 avenue C. Guillemin, 45060 Orléans Cedex 2, France
J. Lambert
BRGM, 3 avenue C. Guillemin, 45060 Orléans Cedex 2, France
M. Garcin
BRGM, 3 avenue C. Guillemin, 45060 Orléans Cedex 2, France
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37 citations as recorded by crossref.
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35 citations as recorded by crossref.
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- Characterization of Sea-level Variations Along the Metropolitan Coasts of France: Waves, Tides, Storm Surges and Long-term Changes G. Dodet et al. 10.2112/SI88-003.1
- Integrating historical storm surge events into flood risk security in the Copenhagen region J. Su et al. 10.1016/j.wace.2024.100713
- Determination of extreme sea levels along the Iberian Atlantic coast A. Fortunato et al. 10.1016/j.oceaneng.2015.11.031
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- Bayesian extreme value analysis of extreme sea levels along the German Baltic coast using historical information L. MacPherson et al. 10.5194/nhess-23-3685-2023
- Extreme Sea Level Estimation Combining Systematic Observed Skew Surges and Historical Record Sea Levels L. Saint Criq et al. 10.1029/2021WR030873
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- Social disruption by flooding, a European perspective W. Ten Brinke et al. 10.1016/j.ijdrr.2017.01.011
- German tanks and historical records: the estimation of the time coverage of ungauged extreme events I. Prosdocimi 10.1007/s00477-017-1418-8
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- The challenges of including historical events using Bayesian methods to improve flood flow estimates in the United Kingdom: A practitioner's point of view D. Lumbroso et al. 10.1111/jfr3.12525
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- Impacts of repeated coastal flooding on soil and groundwater following managed dike realignment H. Tackley et al. 10.1016/j.scitotenv.2023.164957
- High-resolution marine flood modelling coupling overflow and overtopping processes: framing the hazard based on historical and statistical approaches A. Nicolae Lerma et al. 10.5194/nhess-18-207-2018
- Casting light on forcing and breaching scenarios that lead to marine inundation: Combining numerical simulations with a random-forest classification approach J. Rohmer et al. 10.1016/j.envsoft.2018.03.003
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- Managed realignment to mitigate storm-induced flooding: A case study in La Faute-sur-mer, France J. Huguet et al. 10.1016/j.coastaleng.2017.08.010
- Analysis of the risk associated with coastal flooding hazards: a new historical extreme storm surges dataset for Dunkirk, France Y. Hamdi et al. 10.5194/nhess-18-3383-2018
- Coastal Flood Modeling to Explore Adaptive Coastal Management Scenarios and Land-Use Changes Under Sea Level Rise J. Louisor et al. 10.3389/fmars.2022.710086
- Development of damage curves for buildings near La Rochelle during storm Xynthia based on insurance claims and hydrodynamic simulations M. Diaz Loaiza et al. 10.5194/nhess-22-345-2022
- Storm-induced marine flooding: Lessons from a multidisciplinary approach E. Chaumillon et al. 10.1016/j.earscirev.2016.12.005
- The exceptional influence of storm ‘Xaver’ on design water levels in the German Bight S. Dangendorf et al. 10.1088/1748-9326/11/5/054001
- The RISC-KIT storm impact database: A new tool in support of DRR P. Ciavola et al. 10.1016/j.coastaleng.2017.08.016
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- Quantifying historic skew surges: an example for the Dunkirk Area, France N. Giloy et al. 10.1007/s11069-018-3527-1
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- An integration and assessment of multiple covariates of nonstationary storm surge statistical behavior by Bayesian model averaging T. Wong 10.5194/ascmo-4-53-2018
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Latest update: 23 Nov 2024
Short summary
Extreme value analyses of sea-level using tide-gauge measurements usually suffer from limited effective duration of observation which can result in large uncertainties, especially when outliers are present. To tackle this issue, a Bayesian MCMC method is developed integrating historical data in extreme sea-level analyses. A real case study shows a significant improvement in return values estimation and the usefulness of the Bayesian framework to predict future annual exceedance probabilities.
Extreme value analyses of sea-level using tide-gauge measurements usually suffer from limited...
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