Impact of the winter 2013–2014 series of severe Western Europe storms on a double-barred sandy coast: Beach and dune erosion and megacusp embayments

Castelle, Bruno; Marieu, Vincent; Bujan, Stéphane; Splinter, Kristen D.; Robinet, Arthur; Sénéchal, Nadia; Ferreira, Sophie

doi:10.1016/j.geomorph.2015.03.006

Cited by 288 publications

(281 citation statements)

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“…This results in mild and wet winters characterized by active storms that hit Western Europe at the latitude of England and Brittany. The winter of 1989-1990 is a good example of this weather pattern [44,45], as well as the winter of 2013-2014, during which a cluster of a dozen storms hit the Brittany coast [38,46]. In contrast, the second phase, from 2008 to 2012, is characterized by a negative index (NAO−).…”

Section: Discussionmentioning

confidence: 99%

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Observations and Predictions of Wave Runup, Extreme Water Levels, and Medium-Term Dune Erosion during Storm Conditions

Suanez¹,

Cancouët²,

Blaise³

et al. 2015

JMSE

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Monitoring of dune erosion and accretion on the high-energy macrotidal Vougot beach in North Brittany (France) over the past decade (2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014) has revealed significant morphological changes. Dune toe erosion/accretion records have been compared with extreme water level measurements, defined as the sum of (i) astronomic tide; (ii) storm surge; and (iii) vertical wave runup. Runup parameterization was conducted using swash limits, beach profiles, and hydrodynamic (Hm0, Tm0,-1, and high tide water level-HTWL) data sets OPEN ACCESS J. Mar. Sci. Eng. 2015, 3 675 obtained from high frequency field surveys. The aim was to quantify in-situ environmental conditions and dimensional swash parameters for the best calibration of Battjes [1] runup formula. In addition, an empirical equation based on observed tidal water level and offshore wave height was produced to estimate extreme water levels over the whole period of dune morphological change monitoring. A good correlation between this empirical equation (1.01Hmoξo) and field runup measurements (Rmax) was obtained (R 2 85%). The goodness of fit given by the RMSE was about 0.29 m. A good relationship was noticed between dune erosion and high water levels when the water levels exceeded the dune foot elevation. In contrast, when extreme water levels were below the height of the toe of the dune sediment budget increased, inducing foredune recovery. These erosion and accretion phases may be related to the North Atlantic Oscillation Index.

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Section: Discussionmentioning

confidence: 99%

“…The third and last phase that began in the winter of 2012-2013 is characterized by a positive NAO index. It accompanied warm and stormy winters, especially the winter of 2013-2014 [38,46]. Between December 2013 and March 2014, a cluster of about 12 storm events hit the coast of Brittany with an exceptional frequency.…”

Section: Discussionmentioning

confidence: 99%

Observations and Predictions of Wave Runup, Extreme Water Levels, and Medium-Term Dune Erosion during Storm Conditions

Suanez¹,

Cancouët²,

Blaise³

et al. 2015

JMSE

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“…Zeigler et al, 1959;Lee et al, 1998;Houser et al, 2008;Castelle et al, 2015;Suanez et al, 2015) to sandy beaches (Wright and Short, 1984;Sexton and Hayes, 1991;Morton, 2002;Priestas and Fagherazzi, 2010) and dunes (Saunders andDavidson-Arnott, 1990, Hesp, 2002;Psuty et al, 2005;McLean and Shen, 2006;Houser, 2012;Plant and Stockdon, 2012;Lentz et al, 2013;Houser et al, 2015;Weymer et al, 2013;Wilson et al, 2015). These studies assess change using a variety of beach metrics including island volume, shoreline and dune position, and profile topography from consecutive elevation surveys (i.e.…”

Section: Introductionmentioning

confidence: 99%

Characterizing storm response and recovery using the beach change envelope: Fire Island, New York

et al. 2018

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Hurricane Sandy at Fire Island, New York presented unique challenges in the quantification of storm impacts using traditional metrics of coastal change, wherein measured changes (shoreline, dune crest, and volume change) did not fully reflect the substantial changes in sediment redistribution following the storm. We used a time series of beach profile data at Fire Island, New York to define a new contour-based morphologic change metric, the Beach Change Envelope (BCE). The BCE quantifies changes to the upper portion of the beach likely to sustain measurable impacts from storm waves and capture a variety of storm and post-storm beach states. We evaluated the ability of the BCE to characterize cycles of beach change by relating it to a conceptual beach recovery regime, and demonstrated that BCE width and BCE height from the profile time series correlate well with established stages of recovery. We also investigated additional applications of this metric to capture impacts from storms and human modification by applying it to several post-storm historical datasets in which impacts varied considerably; Nor'Ida (2009), Hurricane Irene (2011), Hurricane Sandy (2012), and a 2009 community replenishment. In each case, the BCE captured distinctive upper beach morphologic change characteristic of these different beach building and erosional events. Analysis of the beach state at multiple profile locations showed spatial trends in recovery consistent with recent morphologic island evolution, which other studies have linked with sediment availability and the geologic framework. Ultimately we demonstrate a new way of more effectively characterizing beach response and recovery cycles to evaluate change along sandy coasts.Published by Elsevier B.V.

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“…Atlantic European coasts are exposed to winter storms which cause erosion and coastal damages (Castelle et al, 2015;Taveira-Pinto et al, 2011). In France, retreat of the coastline can reach several tens of meters per season (Bertin et al, 2008) and rapid morphological changes can be observed on sandy beaches, and more particularly on the Pertuis Charentais coast (central part of the Bay of Biscay).…”

Section: Introductionmentioning

confidence: 99%

Accuracy Assessment of Coastal Topography Derived From Uav Images

Long

Millescamps

Pouget

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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To monitor coastal environments, Unmanned Aerial Vehicle (UAV) is a low-cost and easy to use solution to enable data acquisition with high temporal frequency and spatial resolution. Compared to Light Detection And Ranging (LiDAR) or Terrestrial Laser Scanning (TLS), this solution produces Digital Surface Model (DSM) with a similar accuracy. To evaluate the DSM accuracy on a coastal environment, a campaign was carried out with a flying wing (eBee) combined with a digital camera. Using the Photoscan software and the photogrammetry process (Structure From Motion algorithm), a DSM and an orthomosaic were produced. Compared to GNSS surveys, the DSM accuracy is estimated. Two parameters are tested: the influence of the methodology (number and distribution of Ground Control Points, GCPs) and the influence of spatial image resolution (4.6 cm vs 2 cm). The results show that this solution is able to reproduce the topography of a coastal area with a high vertical accuracy (< 10 cm). The georeferencing of the DSM require a homogeneous distribution and a large number of GCPs. The accuracy is correlated with the number of GCPs (use 19 GCPs instead of 10 allows to reduce the difference of 4 cm); the required accuracy should be dependant of the research problematic. Last, in this particular environment, the presence of very small water surfaces on the sand bank does not allow to improve the accuracy when the spatial resolution of images is decreased.

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Impact of the winter 2013–2014 series of severe Western Europe storms on a double-barred sandy coast: Beach and dune erosion and megacusp embayments

Cited by 288 publications

References 50 publications

Observations and Predictions of Wave Runup, Extreme Water Levels, and Medium-Term Dune Erosion during Storm Conditions

Observations and Predictions of Wave Runup, Extreme Water Levels, and Medium-Term Dune Erosion during Storm Conditions

Characterizing storm response and recovery using the beach change envelope: Fire Island, New York

Accuracy Assessment of Coastal Topography Derived From Uav Images

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