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Added value of high resolution forecast models in the assessment of UK offshore wind resource

机译:高分辨率预测模型的附加值在英国海上风力资源评估中

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In 2014 the Met Office were awarded a contract by The Crown Estate to produce a new UK wide offshore wind dataset at a height of 110m. This has been created using two forecast datasets produced using the Met Office's numerical weather prediction (NWP) model, the Unified Model. One of the datasets is a 4 year archive of high resolution (1.5km) operational forecast data; the other is 30 years of a 4.4km resolution hindcast dataset, produced specifically to be a long-term, high resolution and consistent dataset. The matching 4 years of data between the two datasets were used to calculate linear regression coefficients based on twelve 30° wind direction sectors. These were then applied to the full 30 years of 4.4km data to produce a dataset which utilised the high resolution, optimal configuration and data assimilation of the operational 1.5km archive as well as benefitting from the long term variability of the 30 year hindcast dataset. The approach has been verified against met mast measurements and an improvement is seen above just using the 30 year dataset, especially in the absolute biases. The increased resolution in the 1.5km model archive results in a better resolved coastline which enables the new UK wide offshore wind dataset to have more detail over these coastal areas. Using two pre-existing datasets in this way was a computationally efficient method and shows the advantages that are possible to gain through combining different forecast datasets, including operational models.
机译:2014年,议会授予皇冠恏的合同,以110米的高度生产新的英国宽阔的海上风数据集。这已经使用了使用Met Office的数字天气预测(NWP)模型,统一模型产生的两个预测数据集。其中一个数据集是高分辨率(1.5km)运营预测数据的4年档案;另一个是30年的4.4km分辨率的Hindcast数据集,专门制作是长期,高分辨率和一致的数据集。两个数据集之间的匹配4年的数据用于基于12个30°风向扇区计算线性回归系数。然后将它们应用于完整的30年4.4km的数据,以生产用于运营1.5km档案的高分辨率,最佳配置和数据同化的数据集,并从30年的Hindcast DataSet的长期可变性中获益。该方法已经验证了针对满足MAST测量的验证,并且仅在使用30年数据集中以上看到改进,特别是在绝对偏见中。 1.5km模型档案中的分辨率增加,导致更好的分辨海岸线,使新的英国广阔的海上风数据集能够更详细地拥有这些沿海地区。以这种方式使用两个预先存在的数据集是一种计算有效的方法,并显示通过组合不同的预测数据集来获得的优点,包括操作模型。

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