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Climate change-driven coastal erosion modelling in temperate sandy beaches: Methods and uncertainty treatment

Abstract: Developing future projections of shoreline change requires a good understanding of the driving coastal processes. These processes result primarily from the combination of mean sea level, waves, storm surges and tides, which are affected by global and regional climate change, and whose uncertainty increases with time. This paper reviews the current state of the art of methods used to model climate change-induced coastal erosion focusing on how climate change-related drivers and the associated uncertainty are considered. We identify research gaps, describe and analyse the key components of a comprehensive framework to derive future estimates of shoreline change and make suggestions for good practice. Within the scope of the review, we find that although significant progress has been made over the last decade, most of the studies limit uncertainty sampling to considering ranges of variation of forcing variables and ensembles of emissions scenarios, and applications with high level of probabilistic development remain few. Further research is necessary to fully (a) incorporate projected time series of coastal drivers into the erosion models, including bias correction; (b) sufficiently sample the uncertainty associated with each step of the top-down approach, including the consideration of different emission scenarios, inter- and intra-model variability, and multiple runs of erosion models or model ensembles; and (c) reduce uncertainty in shoreline change estimates by developing better datasets and model parameterisations, and progressing in detection and attribution

 Fuente: Earth-Science Reviews Volume 202, March 2020, 103110

 Publisher: Elsevier

 Publication date: 01/03/2020

 No. of pages: 20

 Publication type: Article

 DOI: 10.1016/j.earscirev.2020.103110

 ISSN: 0012-8252,1872-6828

 Spanish project: BIA2017-89401-R

 European project: info:eu-repo/grantAgreement/EC/H2020/690462/EU/European Research Area for Climate Services/ERA4CS/

 Publication Url: https://doi.org/10.1016/j.earscirev.2020.103110

Authorship

PAULA CAMUS BRAÑA

LE COZANNET, GONÉRI

NICHOLLS, ROBERT JAMES

IDIER, DÉBORAH

MASPATAUD, AURÉLIE