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Validation of Reanalysis and Mesoscale Wind Datasets Against Doppler Lidar Measurements at Hub Height in the Eastern Baltic Region Cover

Validation of Reanalysis and Mesoscale Wind Datasets Against Doppler Lidar Measurements at Hub Height in the Eastern Baltic Region

By: ,   and    
Open Access
|Sep 2026

References

  1. Kim, D. Y., Kim, Y. H., & Kim, B. S. (2021). Changes in wind turbine power characteristics and annual energy production due to atmospheric stability, turbulence intensity, and wind shear. Energy, 214, 119051. https://doi.org/10.1016/j.energy.2020.119051
  2. Teixeira, V. D. L., Hetem Junior, A., Ferreira, L., & Teixeira, J. C. (2021). Wind turbine power curve prediction using artificial neural networks: A SCADA-based approach. IEEE Access. 9, 118476–118491. https://doi.org/10.1109/ACCESS.2021.3106510
  3. International Electrotechnical Commission. (2019). Wind energy generation systems – Part 1: Design requirements (IEC Standard No. 61400-1:2019). https://webstore.iec.ch/publication/26418
  4. Asadi, M., & Pourhossein, K. (2021). Wind farm site selection considering turbulence intensity. Energy, 236, 121480. https://doi.org/10.1016/j.energy.2021.121480
  5. Shi, Y., Hu, F., Li, X., Zhang, Z., & Zhang, K. (2025). Improving large wind turbine power curve by integrating lidar-measured multiple wind parameters: A coastal case study. Energies, 18(24), 6398. https://doi.org/10.3390/en18246398
  6. Lang, S., & McKeogh, E. (2011). LIDAR and SODAR measurements of wind speed and direction in upland terrain for wind energy purposes. Remote Sensing, 3(9), 1871–1901. https://doi.org/10.3390/rs3091871
  7. Cheynet, E., Diezel, J. M., Haakenstad, H., Breivik, Ø., Peña, A., & Reuder, J. (2025). Tall wind profile validation of ERA5, NORA3, and NEWA datasets using lidar observations. Wind Energy Science, 10(4), 733–754. https://doi.org/10.5194/wes-10-733-2025
  8. Rouholahnejad, F., Meyer, P. J., & Gottschall, J. (2024). Collocating wind data: A case study on the verification of the CERRA dataset. Journal of Physics: Conference Series, 2875(1), 012016. https://doi.org/10.1088/1742-6596/2875/1/012016
  9. Komasilovs, V., Mironova, M., Dmitrijevs, N., Kamolins, E., & Orlova, S. (2026). NORA3 dataset comparison with observed onshore wind measurements in the Eastern Baltic Sea region. Energies, 19(5), 1144. https://doi.org/10.3390/en19051144
  10. de Assis Tavares, L. F., Shadman, M., Assad, L. P. de F., & Estefen, S. F. (2022). Influence of the WRF model and atmospheric reanalysis on the offshore wind resource potential and cost estimation: A case study for Rio de Janeiro State. Energy, 240, 122767. https://doi.org/10.1016/j.energy.2021.122767
  11. Larsén, X. G., Imberger, M., & Floors, R. (2026). Modelling global offshore turbulence intensity including large-scale turbulence, stability and sea state. Wind Energy Science, 11, 1853–1869. https://doi.org/10.5194/wes-11-1853-2026
  12. Krathe, V. L., Jonkman, J., & Bachynski-Polić, E. E. (2025). The influence of wind veer and drivetrain flexibility on fatigue loading for large floating wind turbines. Wind Energy Science, 10, 2903–2923. https://doi.org/10.5194/wes-10-2903-2025
  13. Ryu, G., Lee, D., Han, S., Kim, J., Kim, Y.-G., & Moon, C.-J. (2025). Comparison and Verification of EMD-WRF and ERA5 Meteorological Data with Offshore Measurement Data for Assessing Offshore Wind Resources in the Southwest Sea of Korea. Journal of the Wind Engineering Institute of Korea, 29(1), 3–14. https://doi.org/10.37109/weik.2025.29.1.3
  14. Qiu, L., & Howland, M. F. (2025). Quantitative evaluation of reanalysis and NWP models for wind resource assessment in offshore environments. Journal of Geophysical Research: Atmospheres. https://doi.org/10.1029/2025JD043490
  15. Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., … & Thépaut, J. N. (2020). The ERA5 global reanalysis. Quarterly Journal of the Royal Meteorological Society, 146(730), 1999–2049. https://doi.org/10.1002/qj.3803
  16. Haakenstad, H., Breivik, Ø., Furevik, B. R., Reistad, M., Bohlinger, P., & Aarnes, O. J. (2021). NORA3: A nonhydrostatic high-resolution hindcast of the North Sea, the Norwegian Sea, and the Barents Sea. Journal of Applied Meteorology and Climatology, 60(10), 1443–1464. https://doi.org/10.1175/JAMC-D-21-0029.1
  17. Ridal, M., Bazile, E., Le Moigne, P., Randriamampianina, R., Schimanke, S., Andrae, U., … & Wang, Z. (2024). CERRA, the Copernicus European Regional Reanalysis system. Quarterly Journal of the Royal Meteorological Society, 150(763), 3385–3411. https://doi.org/10.1002/qj.4764
  18. EMD International A/S. (2019). EMD-WRF Europe+ (ERA5). Wiki-WindPRO. http://help.emd.dk/mediawiki/index.php/EMDWRF_Europe%2B_(ERA5
  19. Ren, G., Liu, J., Wan, J., Li, F., Guo, Y., & Yu, D. (2018). The analysis of turbulence intensity based on wind speed data in onshore wind farms. Renewable Energy, 123, 756–766. https://doi.org/10.1016/j.renene.2018.02.096
  20. Stull, R. B. (2017). Practical meteorology: An algebra-based survey of atmospheric science (Version 1.02b). University of British Columbia. https://www.eoas.ubc.ca/books/Practical_Meteorology/
  21. Pogumirskis, M., Sīle, T., Seņņikovs, J., & Bethers, U. (2021). PCA analysis of wind direction climate in the Baltic states. Tellus A: Dynamic Meteorology and Oceanography, 73(1), 1–16. https://doi.org/10.1080/16000870.2021.1962490
  22. Arenas-López, J. P., & Badaoui, M. (2020). Stochastic modelling of wind speeds based on turbulence intensity. Renewable Energy, 155, 10–22. https://doi.org/10.1016/j.renene.2020.03.104
DOI: https://doi.org/10.2478/lpts-2026-0034 | Journal eISSN: 2255-8896 (formerly 0868-8257) | Journal ISSN: 0868-8257
Language: English
Page range: 19 - 32
Published online: Sep 21, 2026
Published in print: Oct 1, 2026
Published by: Institute of Physical Energetics
In partnership with: Paradigm Publishing Services

© 2026 N. Dmitrijevs, M. Mironova, S. Orlova, published by Institute of Physical Energetics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.