Beach recovery from extreme storm activity during the 2013-14 winter along the Atlantic coast of Europe
|Author(s)||Dodet Guillaume1, Castelle Bruno2, 3, Masselink Gerd4, Scott Timothy4, Davidson Mark4, Floc'h France5, Jackson Derek6, Suanez Serge1|
|Affiliation(s)||1 : Univ Bretagne Occidentale, Inst Univ Europeen Mer, CNRS, UMR LETG 6554, Plouzane, France.
2 : CNRS, UMR EPOC, Pessac, France.
3 : Univ Bordeaux, UMR EPOC, Pessac, France.
4 : Plymouth Univ, Sch Biol & Marine Sci, Coastal Proc Res Grp, Plymouth, Devon, England.
5 : Inst Univ Europeen Mer UBO, CNRS, Geosci Ocean UMR 6538, Plouzane, France.
6 : Ulster Univ, Sch Geog & Environm Sci, Ctr Coastal & Marine Res, Coleraine, Londonderry, North Ireland.
|Source||Earth Surface Processes And Landforms (0197-9337) (Wiley), 2019-01 , Vol. 44 , N. 1 , P. 393-401|
|WOS© Times Cited||48|
|Note||This article also appears in: Coastal Morphodynamics: Nearshore, beach and dunes|
|Keyword(s)||beach recovery, extreme events, winter 2013/2014, Atlantic coast of Europe|
The storm sequence of the 2013-14 winter left many beaches along the Atlantic coast of Europe in their most eroded state for decades. Understanding how beaches recover from such extreme events is essential for coastal managers, especially in light of potential regional increases in storminess due to climate change. Here we analyse a unique dataset of decadal beach morphological changes along the west coast of Europe to investigate the post-2013-14 winter recovery. We show that the recovery signature is site specific and multi-annual, with one studied beach fully recovered after 2 years, and the others only partially recovered after 4 years. During the recovery phase, winter waves primarily control the timescales of beach recovery, as energetic winter conditions stall the recovery process whereas moderate winter conditions accelerate it. This inter-annual variability is well correlated with climate indices. On exposed beaches, an equilibrium model showed significant skill in reproducing the post-storm recovery and thus can be used to investigate the recovery process in more detail. (c) 2018 John Wiley & Sons, Ltd.