Wave runup during extreme storm conditions

Sénéchal, Nadia; Coco, Giovanni; Bryan, Karin R.; Holman, Robert A.

doi:10.1029/2010jc006819

Cited by 162 publications

(182 citation statements)

References 43 publications

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“…6). Consistent with these findings, swash time series measured during the same storm were dominated by energy at infragravity frequencies (Senechal et al, 2011b). Surveys performed near the onset and after the peak of S3 confirm the limited effect of this storm on beach erosion with beach three-dimensionality only increasing slightly.…”

Section: Hydro-and Morphodynamic Changessupporting

confidence: 69%

Beach response to a sequence of extreme storms

Coco¹,

Sénéchal²,

Rejas³

et al. 2014

Geomorphology

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180

107

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Section: Hydro-and Morphodynamic Changessupporting

confidence: 69%

Beach response to a sequence of extreme storms

Coco¹,

Sénéchal²,

Rejas³

et al. 2014

Geomorphology

Self Cite

180

107

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“…This variability is probably in large part due to the variability in exposure of the beaches involved to the deep water wave conditions. In contrast to the dependency of short-wave swash on beach face gradient, both Stockdon et al, (2006) and Senechal et al (2011) found no relationship between the infragravity swash height and beach face gradient. On the other hand Ruggiero et al (2004) found that the significant infragravity swash height was inversely related to beach gradient.…”

Section: Accepted Manuscriptmentioning

confidence: 57%

“…Holman and Sallenger, 1985;Ruessink et al, 1998 Figure 10 in Ruessink et al, 1998or in Senechal et al, 2011. This variability is probably in large part due to the variability in exposure of the beaches involved to the deep water wave conditions.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

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Spectral signatures for swash on reflective, intermediate and dissipative beaches

et al. 2014

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In this paper we synthesise a large data set gathered from a wide variety of field deployments and integrate it with previously published results to identify the spectral signatures of swash from contrasting beach types. The field data set includes the full range of micro-tidal beach types (reflective, intermediate and dissipative), with beach gradients ranging from approximately 1:6 to 1:60 exposed to offshore significant wave heights of 0.5 m to 3.0 m.The ratio of swash energy in the short-wave (f>0.05 Hz) to long-wave (f<0.05 Hz) frequency bands is found to be significantly different between the three beach types. Swash energy at short-wave frequencies is dominant on reflective and intermediate beaches and swash at long-wave frequencies is dominant on dissipative beaches; consistent with previously reported spectral signatures for the surf zone on these beach types.The available swash spectra were classified using an automated algorithm (CLARA) into five different classes. The ordered classes represent an evolution in the spectrum shape, described by a frequency downshifting of the energy peak from the short-wave into the longwave frequency band and an increase in the long-wave swash energy level compared to a relatively minor variation in the short-wave swash energy level. A universally common feature of spectra from all beach-states was an 4  f energy roll-off in the short-wave frequency band. In contrast to the broadly uniform appearance of the short-wave frequency band, the appearance of the long wave frequency band was highly variable across the beachstates. A C C E P T E D M A N U S C R I P T ACCEPTED MANUSCRIPT

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“…These errors could therefore be overcome by elevating the cameras, as in previous works (e.g., McCarrol et al [70] (55 m), Bracs et al [65] (44 m), Sénéchal et al [32], Almar et al [38] (27 m), Vousdoukas et al [47] (20 m), Abessolo Ondoa et al [69] (15 m)). …”

Section: Comparing Video-to Lidar-based Topographymentioning

confidence: 90%

LiDAR Validation of a Video-Derived Beachface Topography on a Tidal Flat

et al. 2017

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Increasingly used shore-based video stations enable a high spatiotemporal frequency analysis of shoreline migration. Shoreline detection techniques combined with hydrodynamic conditions enable the creation of digital elevation models (DEMs). However, shoreline elevations are often estimated based on nearshore process empirical equations leading to uncertainties in video-based topography. To achieve high DEM correspondence between both techniques, we assessed video-derived DEMs against LiDAR surveys during low energy conditions. A newly installed video system on a tidal flat in the St. Lawrence Estuary, Atlantic Canada, served as a test case. Shorelines were automatically detected from time-averaged (TIMEX) images using color ratios in low energy conditions synchronously with mobile terrestrial LiDAR during two different surveys. Hydrodynamic (waves and tides) data were recorded in-situ, and established two different cases of water elevation models as a basis for shoreline elevations. DEMs were created and tested against LiDAR. Statistical analysis of shoreline elevations and migrations were made, and morphological variability was assessed between both surveys. Results indicate that the best shoreline elevation model includes both the significant wave height and the mean water level. Low energy conditions and in-situ hydrodynamic measurements made it possible to produce video-derived DEMs virtually as accurate as a LiDAR product, and therefore make an effective tool for coastal managers.

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Wave runup during extreme storm conditions

Cited by 162 publications

References 43 publications

Beach response to a sequence of extreme storms

Beach response to a sequence of extreme storms

Spectral signatures for swash on reflective, intermediate and dissipative beaches

LiDAR Validation of a Video-Derived Beachface Topography on a Tidal Flat

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