Importance of wave age and resonance in storm surges: The case Xynthia, Bay of Biscay

Bertin, Xavier; Bruneau, Nicolas; Breilh, Jean-François; Fortunato, A. B.; Karpytchev, Mikhaïl

doi:10.1016/j.ocemod.2011.11.001

Cited by 199 publications

(157 citation statements)

References 62 publications

Supporting

Mentioning

136

Contrasting

Unclassified

Order By: Relevance

“…Xynthia hit the Atlantic coast of France in February 2010, causing the flooding of large coastal areas, with 47 deaths and at least EUR 1.2 billion of damage (CGEDD, 2010). The coastal area located northward of the Gironde estuary was the most severely affected, where flooded areas detected from satellites exceeded 300 km 2 and extensive information is available from reports and scientific literature (Bertin et al, 2012(Bertin et al, , 2014Breilh et al, 2013).…”

Section: Model Validationmentioning

confidence: 99%

“…The latter can take into account the fact that the impact of an extreme meteorological event can depend on whether it coincided with spring tide (Bertin et al, 2012;Vousdoukas, 2012). While there is no doubt that multivariate approaches are more appropriate for engineering purposes, SVM was considered as sufficient since (i) the TWL was the only input required for the present modeling efforts; (ii) the way to combine the different TWL components is only one of the many sources of uncertainty for such large-scale studies and probably less significant compared to inaccuracies in the DEM and the protection standards, among others; (iii) one of the main motivations of the present work is to develop a methodology allowing impacts of coastal flooding to be assessed in terms of climate change, and for that reason the emphasis was put on developing a non-stationary statistical approach.…”

Section: Towards An Improved Approach For Pan-european Coastal Flood mentioning

confidence: 99%

See 1 more Smart Citation

Developments in large-scale coastal flood hazard mapping

Vousdoukas

Voukouvalas

Mentaschi

et al. 2016

Nat. Hazards Earth Syst. Sci.

184

157

View full text Add to dashboard Cite

Abstract. Coastal flooding related to marine extreme events has severe socioeconomic impacts, and even though the latter are projected to increase under the changing climate, there is a clear deficit of information and predictive capacity related to coastal flood mapping. The present contribution reports on efforts towards a new methodology for mapping coastal flood hazard at European scale, combining (i) the contribution of waves to the total water level; (ii) improved inundation modeling; and (iii) an open, physics-based framework which can be constantly upgraded, whenever new and more accurate data become available. Four inundation approaches of gradually increasing complexity and computational costs were evaluated in terms of their applicability to large-scale coastal flooding mapping: static inundation (SM); a semidynamic method, considering the water volume discharge over the dykes (VD); the flood intensity index approach (Iw); and the model LISFLOOD-FP (LFP). A validation test performed against observed flood extents during the Xynthia storm event showed that SM and VD can lead to an overestimation of flood extents by 232 and 209 %, while Iw and LFP showed satisfactory predictive skill. Application at panEuropean scale for the present-day 100-year event confirmed that static approaches can overestimate flood extents by 56 % compared to LFP; however, Iw can deliver results of reasonable accuracy in cases when reduced computational costs are a priority. Moreover, omitting the wave contribution in the extreme total water level (TWL) can result in a ∼ 60 % underestimation of the flooded area. The present findings have implications for impact assessment studies, since combination of the estimated inundation maps with population exposure maps revealed differences in the estimated number of people affected within the 20-70 % range.

show abstract

Section: Model Validationmentioning

confidence: 99%

Section: Towards An Improved Approach For Pan-european Coastal Flood mentioning

confidence: 99%

Developments in large-scale coastal flood hazard mapping

Vousdoukas

Voukouvalas

Mentaschi

et al. 2016

Nat. Hazards Earth Syst. Sci.

184

157

View full text Add to dashboard Cite

show abstract

“…Moreover, the quality of the Charnock parameter used in the sea surface drag formulation also contributes to the modeled storm surge quality. Indeed, if the wave model underestimates the sea surface roughness, then the Charnock parameter is also underestimated and the modeled surge is weaker (Bertin et al 2012a). …”

Section: Resultsmentioning

confidence: 99%

“…Recent studies like the modeling work of Bertin et al (2012a) on the Xynthia storm surge highlight the necessity of including drag formulations better than a constant one in storm surge models. In addition, recent progress has been done on meteorological models including now orographic phenomena, as well as a better physical description of mesoscale processes (e.g., the AROME model, Seity et al 2011), and providing higher resolution meteorological data.…”

Section: Introductionmentioning

confidence: 99%

Atmospheric storm surge modeling methodology along the French (Atlantic and English Channel) coast

et al. 2014

View full text Add to dashboard Cite

Storm surge modeling and forecast are the key issues for coastal risk early warning systems. As a general objective, this study aims at improving high-frequency storm surge variations modeling within the PREVIMER system (www.previmer.org), along the French Atlantic and English Channel coasts. The paper focuses on (1) sea surface drag parameterization and (2) uncertainties induced by the meteorological data quality. The modeling is based on the shallowwater version of the model for applications at regional scale (MARS), with a 2-km spatial resolution. The model computes together tide and surge, allowing properly taking into account tide-surge interactions. To select the most appropriate parameterization for the study area, a sensitivity analysis on sea surface drag parameterizations is done, based on comparisons of modeled storm surges (extracted with a tidal component analysis) with four tidal gauges, during four storm events, and over about 7.5 years, where the observed water level is processed in the same way as the modeling results. The tested drag parameterizations are a constant one, as reported by Moon et al. (J Atmos Sci 61: 2321-2333, 2007, Makin (BoundLayer Meteorol 115: 169-176, 2005), and Charnock (J Roy Meteor Soc 81: 639-640, 1955). Charnock's parameterization, either constant with high value (0.022) or relying on a full statistical description of the sea state, enables to improve storm surges forecast with peak errors 10 cm smaller than those computed with the other drag coefficient formulations. The impact of the meteorological forcing quality is evaluated over January 2012 from the comparison between surges modeled with different meteorological data (ARPEGE, ARPEGE High Resolution and AROME) and observations. For event time scale, storm surge computation is highly improved with ARPEGE High Resolution data. For month time scale, statistics of model accuracy are less sensitive to the choice of meteorological forcing. As a conclusion, the Charnock's parameterization is advised to model storm surges on the French Atlantic and English Channel coasts, whereas the quality requirements regarding meteorological inputs depend on the time scale of interest. Within the PREVIMER system, aiming at forecasting events, ARPEGE High Resolution data are used.

show abstract

“…While coasts of Northeast Asia facing the Northwestern Pacific Ocean have rarely experienced storm surges during winter season, there is a number of disaster reports on winter storm surges in coasts of Europe along the North Sea and the Northeastern Atlantic Ocean, e.g., [Lamb and Frydendahl, 1991;Bertin et al, 2012;Sibley et al, 2015]. Langenberg [Langenberg et al, 1999] found that there is an increasing tendency in extreme sea level events induced by winter storms in coasts in the North Sea and related it to changes in climate which may be enhanced by global warming.…”

Section: Introductionmentioning

confidence: 99%

Report on the 2014 Winter Cyclone Storm Surge in Nemuro, Japan

Saruwatari

Lima

Kato

et al. 2015

Coastal Engineering Journal

View full text Add to dashboard Cite

From Tuesday, December 16, 2014, until Thursday, December 18, Hokkaido was battered by strong winds and high sea waves caused by a passing low pressure system intensified to typhoon levels. In the city of Nemuro, a rise in sea level influenced by the storm surge which exceeded quay height in port areas was observed from predawn Wednesday, December 17, 2014. Flooding was experienced in areas of central Nemuro, the Nemuro Port and estuaries of rivers. This technical note provides a comprehensive meteorological analysis and the results of a local flood survey carried out by the authors from December 19 to 21, 2014, and summarizes the characteristics of the 2014 Nemuro storm surge disaster

show abstract

Importance of wave age and resonance in storm surges: The case Xynthia, Bay of Biscay

Cited by 199 publications

References 62 publications

Developments in large-scale coastal flood hazard mapping

Developments in large-scale coastal flood hazard mapping

Atmospheric storm surge modeling methodology along the French (Atlantic and English Channel) coast

Report on the 2014 Winter Cyclone Storm Surge in Nemuro, Japan

Contact Info

Product

Resources

About