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NORSEWIND – Mesoscale model derived Wind Atlases for the Irish Sea, the North Sea and the Baltic Sea

机译:NORsEWIND - 中尺度模型衍生出爱尔兰海,北海和波罗的海的风地图

摘要

As a part of the EU Framework 7 R&D Program NORSEWInD, Wind Atlases for the Irish Sea, the North Sea and the Baltic Sea have been developed and made public available. In the present study the development of the offshore Wind Atlases is focused on the use of mesoscale model data since the access to measurements and satellite data have been limited. Mesoscale model runs were carried out for focus areas with high spatial model resolution (2 km) and the entire Wind Atlas domain with coarser resolution (6 km). The annual average wind speed data have been long-term adjusted. Through the NORSEWInD project we have experienced that mesoscale models are efficient and accurate tools for generating offshore Wind Atlases. Long-term annual average wind speeds are estimated to have a random uncertainty of ±4.2 % and a bias of -1.3 % which is lower than what is experienced onshore. For the Weibull k-parameter we estimate a random uncertainty of ±4.0 % and a bias of -6.4 % which is higher than for the average annual wind speed. It is emphasized that the amount of validation data is small and considerable spatial variability of the uncertainty may be expected. For example, near coastal zones model errors could be expected to be larger than far offshore.
机译:作为欧盟框架7研究与开发计划NORSEWInD的一部分,针对爱尔兰海,北海和波罗的海的风地图集已经开发并公开发布。在本研究中,由于对测量和卫星数据的访问受到限制,海上风电图集的开发集中在中尺度模型数据的使用上。对具有高空间模型分辨率(2 km)的焦点区域和具有较高分辨率(6 km)的整个Wind Atlas域进行了中尺度模型运行。年度平均风速数据已经过长期调整。通过NORSEWInD项目,我们已经体验到中尺度模型是用于生成海上风电图集的高效且准确的工具。估计长期年平均风速的随机不确定性为±4.2%,偏差为-1.3%,低于陆上的经验值。对于威布尔k参数,我们估计随机不确定性为±4.0%,偏差为-6.4%,高于年平均风速。要强调的是,验证数据的数量很小,并且可以预期不确定性的相当大的空间变异性。例如,在沿海地区附近,模型误差可能比远海地区更大。

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