Spatial Variability of Wave Conditions on the French Atlantic Coast using In-Situ Data

Butel, Rémi; Dupuis, Hélène; Bonneton, Philippe

doi:10.2112/1551-5036-36.sp1.96

Cited by 84 publications

(71 citation statements)

References 16 publications

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“…The current approach differs from other methodologies applied to identify and characterize energetic wave conditions. One example is the use of unsupervised clustering algorithms to group wave data into a few sea-state modes, each of them being associated with contrasted values for wave height, period, and direction [38,39]. Other approaches [40,41] that focus on the potential effect of storms upon coastlines, categorized storms into several classes on the basis of the energy content for each storm, but the link between wave storminess and large scale circulation is less evident than in our approach.…”

Section: Discussionmentioning

confidence: 99%

Extreme Wave Storms and Atmospheric Variability at the Spanish Coast of the Bay of Biscay

et al. 2018

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This paper examines the characteristics and long-term variability of storminess for the Spanish coast of the Bay of Biscay for the period 1948 to 2015, by coupling wave (observed and modelled) and atmospheric datasets. The diversity of atmospheric mechanisms that are responsible for wave storms are highlighted at different spatial and temporal scales: synoptic (cyclone) and low frequency (teleconnection patterns) time scales. Two types of storms, defined mostly by wave period and storm energy, are distinguished, resulting from the distance to the forcing cyclones, and the length of the fetch area. No statistically significant trends were found for storminess and the associated atmospheric indices over the period of interest. Storminess reached a maximum around the decade of the 1980s, while less activity occurred at the beginning and end of the period of study. In addition, the results reveal that only the WEPI (West Europe Pressure Anomaly Index), EA (Eastern Atlantic), and EA/WR (Eastern Atlantic/Western Russia) teleconnection patterns are able to explain a substantial percentage of the variability in storm climate, suggesting the importance of local factors (W-E exposition of the coast) in controlling storminess in this region.

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Section: Discussionmentioning

confidence: 99%

Extreme Wave Storms and Atmospheric Variability at the Spanish Coast of the Bay of Biscay

et al. 2018

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“…Atlantic air masses (classes 1, 3, 6 and 7) present low mean values of AOD, α 440−870 , and FMF. The lowest mean values are associated with long-range transport from the northwest (class 6) and west-southwest (class 7), which also occur primarily during fall and winter when storm winds are the strongest [84,85]. The mean AOD is 0.09.…”

Section: Identification Of the Aerosol Origin At Synoptic Scalementioning

confidence: 98%

Atmospheric Correction of Multi-Spectral Littoral Images Using a PHOTONS/AERONET-Based Regional Aerosol Model

et al. 2017

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Spatial resolution is the main instrumental requirement for the multi-spectral optical space missions that address the scientific issues of marine coastal systems. This spatial resolution should be at least decametric. Aquatic color data processing associated with these environments requires specific atmospheric corrections (AC) suitable for the spectral characteristics of high spatial resolution sensors (HRS) as well as the high range of atmospheric and marine optical properties. The objective of the present study is to develop and demonstrate the potential of a ground-based AC approach adaptable to any HRS for regional monitoring and security of littoral systems. The in Situ-based Atmospheric CORrection (SACOR) algorithm is based on simulations provided by a Successive Order of Scattering code (SOS), which is constrained by a simple regional aerosol particle model (RAM). This RAM is defined from the mixture of a standard tropospheric and maritime aerosol type. The RAM is derived from the following two processes. The first process involved the analysis of a 6-year data set composed of aerosol optical and microphysical properties acquired through the ground-based PHOTONS/AERONET network located at Arcachon (France). The second process was related to aerosol climatology using the NOAA hybrid single-particle Lagrangian integrated trajectory (HYSPLIT) model. Results show that aerosols have a bimodal particle size distribution regardless of the season and are mainly represented by a mixed coastal continental type. Furthermore, the results indicate that aerosols originate from both the Atlantic Ocean (53.6%) and Continental Europe (46.4%). Based on these results, absorbing biomass burning, urban-industrial and desert dust particles have not been considered although they represent on average 19% of the occurrences. This represents the main current limitation of the RAM. An assessment of the performances of SACOR is then performed by inter-comparing the water-leaving reflectance (ρ w ) retrievals with three different AC methods (ACOLITE, MACCS and 6SV using three different standard aerosol types) using match-ups (N = 8) composed of Landsat-8/Operational Land Imager (OLI) scenes and field radiometric measurements. Results indicate consistency with the SWIR-based ACOLITE method, which shows the best performance, except in the green channel where SACOR matches well with the in-situ data (relative error of 7%). In conclusion, the study demonstrates the high potential of the SACOR approach for the retrieval of ρ w . In the future, the method could be improved by using an adaptive aerosol model, which may select the most relevant local aerosol model following the origin of the atmospheric air mass, and could be applied to the latest HRS (Sentinel-2/MSI, SPOT6-7, Pleiades 1A-1B).

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“…Truc Vert is a macro-tidal beach with a tidal range varying from 1.5 m during neap tides to 5 m during spring tides. The mean annual offshore significant wave height (H s ) and period (T p ) are 1.4 m and 6.5 s (Butel et al, 2002), and events that are characterized by H s N 4.1 m and T p N 10.1 s are classified as storms (Le Cozannet et al, 2011).…”

Section: Field Sitementioning

confidence: 99%

Beach response to a sequence of extreme storms

Coco¹,

Sénéchal²,

Rejas³

et al. 2014

Geomorphology

174

107

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Spatial Variability of Wave Conditions on the French Atlantic Coast using In-Situ Data

Abstract: BioOne Complete (complete.BioOne.org) is a full-text database of 200 subscribed and open-access titles in the biological, ecological, and environmental sciences published by nonprofit societies, associations, museums, institutions, and presses.

Cited by 84 publications

References 16 publications

Extreme Wave Storms and Atmospheric Variability at the Spanish Coast of the Bay of Biscay

Extreme Wave Storms and Atmospheric Variability at the Spanish Coast of the Bay of Biscay

Atmospheric Correction of Multi-Spectral Littoral Images Using a PHOTONS/AERONET-Based Regional Aerosol Model

Beach response to a sequence of extreme storms

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