Water level considering SW storms

The dataset was generated using the XBeach model, a numerical tool developed to simulate the impacts of extreme events on coastal areas and their associated dynamics. In this case, the model was applied to 20 historical SW storm scenarios to estimate water level under extreme conditions. The wave conditions were derived from the hindcast dataset produced by the MeteOcean research group at the University of Genoa (https://meteocean.science/#research), while the digital elevation model was constructed using a combination of field survey data and elevation data provided by Regione Liguria (https://geoportal.regione.liguria.it/). This approach makes it possible to define offshore wave conditions that may pose potential hazards to coastal infrastructure and human safety. Full metadata: https://erddap.s4raise.it/erddap/info/unige-distav_voltri_water_level_libeccio/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).本数据集采用XBeach模型（XBeach model）生成，该模型是专为模拟极端事件对沿海区域的影响及其相关动力过程而开发的数值工具。本研究中，该模型被应用于20个历史西南向风暴情景，以估算极端条件下的水位变化。波浪条件数据源自热那亚大学MeteOcean研究团队（MeteOcean research group）制作的后报数据集（https://meteocean.science/#research）；数字高程模型则结合野外实测数据与利古里亚大区（Regione Liguria）提供的高程数据构建而成（https://geoportal.regione.liguria.it/）。该方法可用于确定可能对沿海基础设施及人员安全构成潜在威胁的近岸波浪条件。完整元数据：https://erddap.s4raise.it/erddap/info/unige-distav_voltri_water_level_libeccio/index.html。本数据集属于RAISE Spoke 3项目的成果之一。RAISE是由意大利大学与研究部依据国家复苏与韧性计划（NRRP，任务4、组件2、投资1.5）资助的创新生态系统。