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English(EN) Multi-site modelling and reconstruction of past extreme skew surges along the French Atlantic coast

新统计模型重建历史海岸风暴潮数据

研究人员开发了一种新的方法,用于对法国大西洋沿岸的极端偏斜风暴潮进行建模和重建,这对于海岸风险管理至关重要。该研究利用了峰值超过阈值框架,并探索了两种方法:多元广义帕累托分布用于建模极值依赖性,以及一种新颖的极值回归框架用于点预测。最终目标是通过整合具有更长观测历史的站点(如布雷斯特和圣纳泽尔)的信息,重建记录有限的站点上的历史偏斜风暴潮数据。 AI

排序理由 这是一篇发表在arXiv上的研究论文,详细介绍了一种新的统计建模方法。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.LG 阅读 →

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新统计模型重建历史海岸风暴潮数据

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这是一篇发表在arXiv上的研究论文,详细介绍了一种新的统计建模方法。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Nathan Huet, Philippe Naveau, Anne Sabourin ·

    法国大西洋沿岸过去极端偏斜风暴潮的多地点建模与重建

    arXiv:2505.00835v2 Announce Type: replace-cross Abstract: Appropriate modelling of extreme skew surges is crucial, particularly for coastal risk management. Our study focuses on modelling extreme skew surges along the French Atlantic coast, with a particular emphasis on investiga…