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Using global tide gauge data to validate and improve the representation of extreme sea levels in flood impact studies

机译:利用全球潮汐测量数据验证和改善洪水影响研究中极端海平面的表示

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摘要

The largest collection of tide gauge records assembled to date, called GESLA-2, has been used to provide reliable extreme sea level parameters at 655 locations around the world. This has enabled a rigorous assessment of the European Union-funded DINAS-COAST (D-C) data set of extreme sea level information for the global coastline that has been used in many published flood impact studies. We find the D-C extreme levels to be generally both too high, compared to those from GESLA-2, and too flat, when plotted as a function of return period. This leads to an over-estimation of the probability of extreme sea levels in the present day for most locations around the world, and also to an over-estimation of the probability of extreme sea levels in the future as sea level rises. A detailed impact study is conducted for the world's largest coastal cities following the approach of Hallegatte et al. (2013), resulting in similar conclusions for these particular locations. We suggest that most previous studies that have relied upon D-C information should be re-assessed in the light of these findings, using more recent modelling-based estimates of extreme sea level information.
机译:迄今为止,已组装的最大的潮汐仪记录集称为GESLA-2,已用于在全球655个位置提供可靠的极端海平面参数。这使得能够严格评估由欧盟资助的DINAS-COAST(D-C)全球海岸线的极端海平面信息数据集,该数据集已在许多已发布的洪水影响研究中使用。我们发现,与GESLA-2相比,D-C极端水平通常既太高,又太平坦(作为返回周期的函数进行绘制)。这导致对当今世界上大多数位置的当前极端海平面的可能性进行了高估,并且导致了随着海平面上升而对未来极端海平面的可能性的过高估计。按照Hallegatte等人的方法,对世界上最大的沿海城市进行了详细的影响研究。 (2013),对于这些特定位置得出相似的结论。我们建议,应根据这些发现,使用更近期的基于模型的极端海平面信息估计,重新评估大多数依赖于D-C信息的研究。

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