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Extreme 50-Year Return Wind Ensemble

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data.dtu.dk2024-04-23 更新2025-01-22 收录
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https://data.dtu.dk/articles/dataset/Extreme_50-Year_Return_Wind_Ensemble/25303969/1
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This item contains the ocean and coastal, near-global, 10-min equivalent 50-year return winds derived from the three reanalysis products CFSR, ERA5 and MERRA-2 calculated during the GASPOC project. They are provided at four different heights, namely 50 m, 100 m, 150 m and 200 m. For each of the three reanalysis products, two sub-layers are available: - A high resolution layer with approximately 275 m grid spacing which provides the data for the coastal region between 0 km and 200 km distance from the shoreline. It is made available on the same grid and spatial extension as the Global Wind Atlas for convenience. Naming convention: extreme_wspd_${height}m_epsg4326_landmasked.${reanalysis}.tif - Beyond the 200 km coastline, data is provided on a regular 0.25x0.25 degree grid. PLEASE NOTE: While the low resolution data layer also contains data points within the coastal zone, it is not recommended to use the low-resolution data for near-coastal estimates. Naming convention: offshore_era5grid_epsg4326_extreme_wspd_${height}m.${reanalysis}.tif The datasets are accompanied by a technical report with more details on the methodology, which can be accessed here: https://orbit.dtu.dk/en/publications/global-atlas-for-siting-parameters-ocean-and-coasts-ensemble-calc The files are provided as Cloud Optimized GeoTiffs. They can be visualized using GIS software, such as the free and OpenSource Q-GIS. If working with python, rioxarray can be used to read them into an XArray Dataset for further processing.

本数据集包含由CFSR、ERA5和MERRA-2三种再分析产品计算得出的近全球范围10分钟等效50年一遇风速数据,这些数据是在GASPOC项目中生成的。数据提供于四个不同的高度,即50米、100米、150米和200米。针对三种再分析产品,各有两层子层可供使用: - 一层高分辨率层,其网格间距约为275米,提供距离海岸线0至200公里范围内的海岸区域数据。该层数据以与全球风图相同的网格和空间扩展提供,以便于使用。 命名规范:extreme_wspd_${height}m_epsg4326_landmasked.${reanalysis}.tif - 超过200公里海岸线范围之外,数据以0.25x0.25度的规则网格提供。 请注意:尽管低分辨率数据层也包含海岸区域内的数据点,但并不建议使用低分辨率数据进行近海岸估算。 命名规范:offshore_era5grid_epsg4326_extreme_wspd_${height}m.${reanalysis}.tif 数据集附带一份技术报告,其中详细介绍了方法,可通过以下链接获取:https://orbit.dtu.dk/en/publications/global-atlas-for-siting-parameters-ocean-and-coasts-ensemble-calc 文件以云优化GeoTiff格式提供。可以使用GIS软件,如免费开源的Q-GIS进行可视化。如果使用Python,则可以使用rioxarray将其读取到XArray数据集以进行进一步处理。
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Technical University of Denmark
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