Data for Tall wind profile validation of ERA5, NORA3 and NEWA datasets using lidar observations

The Matlab live script reproduces some of the results presented in Cheynet et al. (2024). This study aims to help future large offshore wind turbines and airborne wind energy systems by providing insights into wind speeds at much higher altitudes than previously examined. We assessed three wind models (ERA5, NORA3, and NEWA) to predict wind speeds up to 500 m. Using lidar data from Norway and the North Sea, we found that ERA5 excels offshore, while NORA3 performs best onshore. However, the performance of the models depends on the locations and the evaluation criteria. The repository contains Matlab code, wind speed model databases and lidar data. These data were used in Cheynet, E., Diezel, J. M., Haakenstad, H., Breivik, Ø., Peña, A., & Reuder, J. (2024). Tall Wind Profile Validation Using Lidar Observations and Hindcast Data. Wind Energy Science Discussions, 2024, 1-29.本Matlab实时脚本（Matlab live script）复现了Cheynet等人2024年发表的部分研究成果。本研究旨在通过解析远超出过往考察范围的高空风速特征，为未来大型海上风力发电机组（offshore wind turbines）及机载风能系统（airborne wind energy systems）的研发提供理论参考。我们评估了三款风速预测模型（ERA5、NORA3与NEWA），其可预测最高500米高度的风速分布。借助挪威与北海地区的激光雷达（lidar）观测数据，研究发现ERA5在海上场景表现最优，而NORA3则在陆上场景性能最佳。不过，各模型的综合表现会因观测位置与评估标准的不同而产生差异。 本代码仓库包含Matlab代码、风速模型数据库以及激光雷达观测数据。上述数据集已被应用于Cheynet, E.、Diezel, J. M.、Haakenstad, H.、Breivik, Ø.、Peña, A.与Reuder, J.于2024年发表的学术论文《基于激光雷达观测与后报数据的高空风廓线验证》（Tall Wind Profile Validation Using Lidar Observations and Hindcast Data），该论文刊载于《风能科学讨论（Wind Energy Science Discussions）》2024卷，页码范围1至29。