Influence of Sea Level Rise on Storm Erosion Potential in New Jersey

The data quantifies storm intensity by erosion potential for historical storms under three scenarios: (1) as occurred in the historical record; (2) detrended to remove the observed influence sea level rise; (3) the observed storm with the added effects of 12 IPCC sea level rise scenarios for 2050 and 2100

Storm intensity is quantified using the three main drivers of erosion; namely the combined effects of water levels, wave height and duration. Storm metrics are provided to characterize both the cumulative (SEI) and peak (PEI) measures of storm intensity.

The dataset provides over 90 storms with hourly timeseries and bulk statistics to be used by coastal engineers, managers and climate scientists as an input in coastal hazard and morphologic analysis. This dataset can be used to evaluate potential storm impacts under historical and projected sea level scenarios.

Similar to existing datasets (e.g., Hurdat or NACCS), an hourly timeseries of water levels and wave heights is provided. However the distinguishing feature is the analysis of erosion potential does not explicitly differentiate between tropical and extratropical storms, allowing direct comparison of all storms and particularly atypical storms.

Analysis in this manner provides an advantage when morphologic changes are the principle area of interest.

本数据集以侵蚀潜力为指标，量化了三类情景下历史风暴的强度：(1) 历史记录中实际发生的风暴；(2) 经去趋势处理以消除观测到的海平面上升影响的风暴；(3) 叠加了政府间气候变化专门委员会（Intergovernmental Panel on Climate Change, IPCC）针对2050年与2100年的12种海平面上升情景效应的实测风暴。
风暴强度通过侵蚀作用的三大驱动因子进行量化，即水位、波高与持续时间的联合效应。数据集提供了两类风暴强度表征指标：累积风暴侵蚀指数（Storm Erosion Index, SEI）与峰值风暴侵蚀指数（Peak Erosion Index, PEI）。
本数据集涵盖90余场风暴，各风暴均配有逐小时时间序列数据与整体统计量，可供海岸工程师、海岸管理者与气候科学家将其作为海岸灾害与地貌形态分析的输入数据使用。该数据集可用于评估历史及预估海平面情景下风暴的潜在影响。
与现有数据集（如Hurdat、NACCS）类似，本数据集同样提供水位与波高的逐小时时间序列数据。但其核心特色在于，侵蚀潜力分析未明确区分热带风暴与温带风暴，从而可实现所有风暴（尤其是非典型风暴）的直接对比分析。
当研究焦点为地貌变化时，此类分析方法具备显著优势。