We perform the first global analysis of the spatial footprints of storm surges, using observed and simulated storm surge data. Three different techniques are applied to quantify the spatial footprints: clustering analysis, percentage of co‐occurrence, and joint probability analysis. The capability of the simulated data to represent the observed storm surge footprints is demonstrated. Results lead to the identification of coastline stretches prone to be impacted simultaneously by the same storm surge events. The spatial footprint sizes differ around the globe, partially conditioned by the geography of the coastline, that is, more irregular coastlines consist of a larger number of different storm surge clusters with varying footprint sizes. For the northwestern Atlantic, spatial footprints of storm surges vary when specifically accounting for tropical cyclones, using storm track information in the storm surge simulations. Our results provide important new insights into the spatial footprints of storm surges at the global scale and will help to facilitate improvements in how coastal flood risk is identified, assessed, and managed, by taking these spatial features into account.

中文翻译：

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全球海岸线上风暴潮的空间足迹

我们使用观察到的和模拟的风暴潮数据对风暴潮的空间足迹进行了首次全局分析。应用了三种不同的技术来量化空间足迹：聚类分析，共现百分比和联合概率分析。演示了模拟数据代表观测到的风暴潮足迹的能力。结果导致容易受到相同风暴潮事件同时影响的海岸线延伸的识别。全球范围内的空间足迹大小不同，部分受海岸线地理条件的影响，也就是说，更不规则的海岸线由大量具有不同足迹大小的不同风暴潮簇组成。对于西北大西洋，当专门考虑热带气旋时，使用风暴潮模拟中的风暴轨迹信息，风暴潮的空间足迹会有所不同。我们的结果为全球范围内风暴潮的空间足迹提供了重要的新见解，并且通过考虑这些空间特征，将有助于促进改进如何识别，评估和管理沿海洪水风险。