36 citations as recorded by crossref.

1. Attribution of the record breaking 2025 European fire season to climate change T. Keeping et al. https://doi.org/10.5194/nhess-26-3761-2026
2. Evaluation of ERA5 precipitation and 10‐m wind speed associated with extratropical cyclones using station data over North America T. Chen et al. https://doi.org/10.1002/joc.8339
3. Validation of wind resource and energy production simulations for small wind turbines in the United States L. Sheridan et al. https://doi.org/10.5194/wes-7-659-2022
4. Applicability Assessment of ERA5 Surface Wind Speed Data Across Different Landforms in China P. Zuo et al. https://doi.org/10.3390/atmos16080956
5. Intercomparing the quality of recent reanalyses for offshore wind farm planning in Germany's exclusive economic zone of the North Sea T. Spangehl et al. https://doi.org/10.5194/asr-20-109-2023
6. Evaluation of the near-surface wind products from reanalyses over the North-Western Indian Ocean A. Varghese et al. https://doi.org/10.1007/s10236-025-01764-6
7. Machine learning and statistical approaches for wind speed estimation at partially sampled and unsampled locations; review and open questions F. Houndekindo & T. Ouarda https://doi.org/10.1016/j.enconman.2025.119555
8. LSTM and Transformer-based framework for bias correction of ERA5 hourly wind speeds F. Houndekindo & T. Ouarda https://doi.org/10.1016/j.energy.2025.136498
9. Efficient Tropical Cyclone Scenario Selection Based on Cumulative Likelihood of Potential Impacts M. Sohrabi et al. https://doi.org/10.1029/2023EF003731
10. The regional reanalysis COSMO-R6G2 as a successor to COSMO-REA6: evaluation for renewable energy applications F. Bär et al. https://doi.org/10.5194/asr-22-149-2026
11. Validation of the representativeness of wind speed time series obtained from reanalysis data for Brazilian territory S. de Aquino Ferreira et al. https://doi.org/10.1016/j.energy.2022.124746
12. Coastal upwelling and tropical warm water intrusions are key drivers of interannual fog variability along the southwestern African coast A. Mass et al. https://doi.org/10.5194/acp-26-12565-2026
13. A novel approach to generate bias-corrected regional wind infeed timeseries based on reanalysis data Y. Pflugfelder et al. https://doi.org/10.1016/j.apenergy.2024.122890
14. JRA55 is the best reanalysis representing observed near-surface wind speeds over India A. Das & S. Baidya Roy https://doi.org/10.1016/j.atmosres.2023.107111
15. Downward Momentum Flux: An Important Mechanism of Typhoon Maintaining Ground Destructive Force C. Lan et al. https://doi.org/10.1029/2022JD037470
16. Towards high resolution, validated and open global wind power assessments E. Peña-Sánchez et al. https://doi.org/10.1038/s41467-026-68337-z
17. Evaluation and Bias Correction of the ERA5 Reanalysis over the United States for Wind and Solar Energy Applications J. Wilczak et al. https://doi.org/10.3390/en17071667
18. Improved quality gridded surface wind speed datasets for Australia H. Zhang et al. https://doi.org/10.1007/s00703-022-00925-2
19. Statistical post-processing of reanalysis wind speeds at hub heights using a diagnostic wind model and neural networks S. Brune & J. Keller https://doi.org/10.5194/wes-7-1905-2022
20. Wind Simulations over Western Patagonia Using the Weather Research and Forecasting model and Reanalysis H. Vásquez Anacona et al. https://doi.org/10.3390/atmos14071062
21. How Skillful Are the European Subseasonal Predictions of Wind Speed and Surface Temperature? N. Goutham et al. https://doi.org/10.1175/MWR-D-21-0207.1
22. Hybrid wind-solar energy potential modeling using ERA5 and solar irradiation data in google Earth Engine A. Masoud https://doi.org/10.1016/j.renene.2024.121042
23. Evaluation of NCEP-CFSv2, ERA5, and CCMP wind datasets against buoy observations over Zhejiang nearshore waters S. Wu et al. https://doi.org/10.1016/j.oceaneng.2022.111832
24. A Chebyshev Polynomial‐Based Wind Speed Profile Characterization Framework: Applications in Mesoscale Model Evaluation H. Baki & S. Basu https://doi.org/10.1002/we.70080
25. Analysing the uncertainties of reanalysis data used for wind resource assessment: A critical review G. Gualtieri https://doi.org/10.1016/j.rser.2022.112741
26. Summer heatwaves, wind production and electricity demand in Southern Europe: climatic conditions and impacts M. Molina et al. https://doi.org/10.1088/2515-7620/acec37
27. Assessing the performance of reanalysis and meso-scale model datasets for onshore wind power modelling in Germany D. Geiger et al. https://doi.org/10.5194/asr-22-131-2026
28. Optimized design method for power matching of composite hydrodynamic wind turbine based on wind farm data mining Y. Kan et al. https://doi.org/10.1016/j.oceaneng.2025.120388
29. Tall wind profile validation of ERA5, NORA3, and NEWA datasets using lidar observations E. Cheynet et al. https://doi.org/10.5194/wes-10-733-2025
30. Quantification of CO2 Emissions from Three Power Plants in China Using OCO-3 Satellite Measurements Y. Yang et al. https://doi.org/10.1007/s00376-024-3293-9
31. CH4Vision: Machine Learning Estimation of Methane Flux with GaoFen-5 Hyperspectral Imagery K. Li et al. https://doi.org/10.34133/remotesensing.1013
32. Evaluating the Accuracy of the ERA5 Model in Predicting Wind Speeds Across Coastal and Offshore Regions M. Alkhalidi et al. https://doi.org/10.3390/jmse13010149
33. Multimodal learning–based reconstruction of high-resolution spatial wind speed fields M. Zambra et al. https://doi.org/10.1017/eds.2024.34
34. Rüzgâr Hızı Tahminine Yönelik Hibrit ConvLSTM Modeli: Hindistan'ın En Yüksek Rüzgâr Hızına Sahip Şehirleri İçin Bir Vaka Çalışması A. Utku & S. Akyol https://doi.org/10.18586/msufbd.1561443
35. Near-term streamed climate information from kilometre-scale global climate models for the wind energy sector A. Lacima-Nadolnik et al. https://doi.org/10.1016/j.egycc.2026.100272
36. Identification of optimal ERA5 model level for wind resource assessments in mountainous terrain J. Contreras et al. https://doi.org/10.5194/wes-11-3823-2026