遇见数据集

AIMS - SWAN Reanalysis dataset for a portion of the Thyrrenian Sea

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Zenodo2024-10-04 更新2026-05-26 收录
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This dataset contains high-resolution reanalysis data produced using the Simulating WAves Nearshore (SWAN) model. The dataset provides comprehensive metocean information, including wave parameters, wind speeds, and directions over an extended period. It is valuable for offshore and nearshore wind energy development, marine spatial planning, coastal engineering, and climate studies. The SWAN model is widely used for simulating the evolution of wind-generated waves in coastal areas, shallow waters, and enclosed regions. This reanalysis dataset is particularly suited for understanding wave climate variability, extreme weather events, and supporting risk assessments for marine and offshore operations.

本数据集包含采用近岸海浪模拟(Simulating WAves Nearshore,SWAN)模型生成的高分辨率再分析数据。该数据集提供覆盖长时序的综合海洋气象信息,涵盖海浪参数、风速及风向等内容。其可广泛应用于近海与近岸风电开发、海洋空间规划、海岸工程及气候研究等领域。SWAN模型是模拟沿海区域、浅水区及封闭水域内风浪演变过程的主流工具。本次发布的再分析数据集尤其适用于研究海浪气候变异性、极端天气事件,并可为海洋与近海作业的风险评估提供支撑。

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Zenodo
创建时间:
2024-10-01
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