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

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Tall wind profile validation of ERA5, NORA3 and NEWA, 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.