Fanning Audrey C, Janssen Matthew S, Lemke Laura, Miller Jon K
Davidson Laboratory, Stevens Institute of Technology, Hoboken, NJ 07030, USA.
Guy Carpenter & Company LLC, 1166 Avenue of the Americas, New York, NY 10036, USA.
Data Brief. 2024 Jun 26;55:110685. doi: 10.1016/j.dib.2024.110685. eCollection 2024 Aug.
This dataset quantifies storm intensity of approximately 130 unique historical storms along the New Jersey coastline from 1980 to 2014 for three separate sea level conditions. Namely, (1) as observed in the historical record; (2) detrended to 1997 mean sea level and (3) adjusted to the 2050 and 2100 sea level rise scenarios presented in the International Panel on Climate Change's (IPCC) Sixth Assessment Report (AR6). Projected sea level scenarios are adjusted to include local vertical land movement. Storm intensity is quantified in terms of erosion potential, considering the combination of total water level, wave heights, and storm duration. The observational dataset includes both tropical and extratropical storms and quantifies both the cumulative (duration) and peak (single hour) storm intensity for each storm and sea level rise (SLR) condition. Additionally, hourly time series of wave characteristics and water levels are provided at 13 locations along the New Jersey coast, facilitating hydrodynamic forcing of nearshore models. The dataset provides the means and methods to directly compare historical storms under future SLR conditions.
该数据集对1980年至2014年期间新泽西州海岸线上约130场独特历史风暴在三种不同海平面条件下的风暴强度进行了量化。具体而言，（1）如历史记录中所观测到的；（2）去趋势化至1997年平均海平面；以及（3）根据政府间气候变化专门委员会（IPCC）第六次评估报告（AR6）中提出的2050年和2100年海平面上升情景进行调整。预计海平面情景已进行调整，以纳入当地垂直陆地运动。考虑到总水位、波高和风暴持续时间的综合因素，风暴强度通过侵蚀潜力来量化。观测数据集包括热带风暴和温带风暴，并对每个风暴和海平面上升（SLR）条件下的累积（持续时间）和峰值（单小时）风暴强度进行了量化。此外，还提供了新泽西州海岸沿线13个地点的每小时波浪特征和水位时间序列，便于对近岸模型进行水动力强迫。该数据集提供了在未来海平面上升条件下直接比较历史风暴的手段和方法。
