globalchange  > 气候变化与战略
DOI: 10.1016/j.earscirev.2020.103110
论文题名:
Climate change-driven coastal erosion modelling in temperate sandy beaches: Methods and uncertainty treatment
作者: Toimil A.; Camus P.; Losada I.J.; Le Cozannet G.; Nicholls R.J.; Idier D.; Maspataud A.
刊名: Earth-Science Reviews
ISSN: 128252
出版年: 2020
卷: 202
语种: 英语
英文关键词: Climate change ; Coastal erosion modelling ; Sandy beaches ; Uncertainty treatment
Scopus关键词: climate change ; coastal erosion ; future prospect ; sandy soil ; shoreline change ; temperate environment ; uncertainty analysis
英文摘要: 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. © 2020 Elsevier B.V.
Citation statistics:
被引频次[WOS]:81   [查看WOS记录]     [查看WOS中相关记录]
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/158829
Appears in Collections:气候变化与战略

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作者单位: IHCantabria - Instituto de Hidráulica Ambiental de la Universidad de Cantabria, Isabel Torres 15, Santander, 39011, Spain; BRGM/French Geological Survey, 3 avenue Claude Guillemin, Orléans Cedex, 45060, France; Tyndall Centre for Climate Change Research, University of East Anglia, Norwich, NR4 7TJ, United Kingdom

Recommended Citation:
Toimil A.,Camus P.,Losada I.J.,et al. Climate change-driven coastal erosion modelling in temperate sandy beaches: Methods and uncertainty treatment[J]. Earth-Science Reviews,2020-01-01,202
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