69 citations as recorded by crossref.

1. Understanding and mitigating the impact of data gaps on offshore wind resource estimates J. Gottschall & M. Dörenkämper 10.5194/wes-6-505-2021
2. FOXES: Farm Optimization and eXtended yield Evaluation Software J. Schmidt et al. 10.21105/joss.05464
3. Norwegian offshore wind power—Spatial planning using multi‐criteria decision analysis I. Solbrekke & A. Sorteberg 10.1002/we.2871
4. Changes in Great Plains Low‐Level Jet Structure and Associated Precipitation Over the 20th Century C. Ferguson 10.1029/2021JD035859
5. The ALEX17 diurnal cycles in complex terrain benchmark J. Sanz Rodrigo et al. 10.1088/1742-6596/1934/1/012002
6. Satellite-based estimation of roughness lengths and displacement heights for wind resource modelling R. Floors et al. 10.5194/wes-6-1379-2021
7. A one-year long turbulence simulation using a WRF-LES based modeling system at Østerild A. Peña et al. 10.1088/1742-6596/2265/2/022011
8. A one-year comparison of new wind atlases over the North Sea E. Cheynet et al. 10.1088/1742-6596/2362/1/012009
9. Departure from Flux-Gradient Relation in the Planetary Boundary Layer P. Santos et al. 10.3390/atmos12060672
10. Machine learning for predicting offshore vertical wind profiles F. Rouholahnejad et al. 10.1088/1742-6596/2626/1/012023
11. Scaling effects of fixed-wing ground-generation airborne wind energy systems M. Sommerfeld et al. 10.5194/wes-7-1847-2022
12. A new RANS-based wind farm parameterization and inflow model for wind farm cluster modeling M. van der Laan et al. 10.5194/wes-8-819-2023
13. An investigation of spatial wind direction variability and its consideration in engineering models A. von Brandis et al. 10.5194/wes-8-589-2023
14. Impact of wind profiles on ground-generation airborne wind energy system performance M. Sommerfeld et al. 10.5194/wes-8-1153-2023
15. Evaluation of two mesoscale wind farm parametrisations with offshore tall masts O. Garcia-Santiago et al. 10.1088/1742-6596/2265/2/022038
16. Spatiotemporal variations of 100 m wind in Mongolia and implications for wind energy resources S. Hong et al. 10.1002/joc.8037
17. The making of the New European Wind Atlas – Part 1: Model sensitivity A. Hahmann et al. 10.5194/gmd-13-5053-2020
18. Enabling Virtual Met Masts for wind energy applications through machine learning-methods S. Schwegmann et al. 10.1016/j.egyai.2022.100209
19. 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. 10.5194/asr-20-109-2023
20. Comparing and validating intra-farm and farm-to-farm wakes across different mesoscale and high-resolution wake models J. Fischereit et al. 10.5194/wes-7-1069-2022
21. Quality of wind characteristics in recent wind atlases over the North Sea P. Kalverla et al. 10.1002/qj.3748
22. Review of Data and Data Sources for the Assessment of the Potential of Utility-Scale Hybrid Wind–Solar PV Power Plants Deployment, under a Microgrid Scope L. Arribas et al. 10.3390/en14217434
23. Quantifying sensitivity in numerical weather prediction‐modeled offshore wind speeds through an ensemble modeling approach M. Optis et al. 10.1002/we.2611
24. Intense windstorms in the northeastern United States F. Letson et al. 10.5194/nhess-21-2001-2021
25. Validation of European-scale simulated wind speed and wind generation time series J. Murcia et al. 10.1016/j.apenergy.2021.117794
26. Utilising Open Geospatial Data to Refine Weather Variables for Building Energy Performance Evaluation—Incident Solar Radiation and Wind-Driven Infiltration Modelling K. Skeie & A. Gustavsen 10.3390/en14040802
27. Generating long-term sub-hourly wind speed time series by coupling mesoscale models with full-scale spectra D. Schillebeeckx & G. Leroy 10.1088/1742-6596/2151/1/012003
28. Unfrozen Skewed Turbulence for Wind Loading on Structures E. Cheynet et al. 10.3390/app12199537
29. Hybrid use of an observer-based minute-scale power forecast and persistence F. Theuer et al. 10.1088/1742-6596/2265/2/022047
30. Current and future wind energy resources in the North Sea according to CMIP6 A. Hahmann et al. 10.5194/wes-7-2373-2022
31. Grand challenges in the digitalisation of wind energy A. Clifton et al. 10.5194/wes-8-947-2023
32. The 3 km Norwegian reanalysis (NORA3) – a validation of offshore wind resources in the North Sea and the Norwegian Sea I. Solbrekke et al. 10.5194/wes-6-1501-2021
33. Reliability of ERA5 Reanalysis Data for Wind Resource Assessment: A Comparison against Tall Towers G. Gualtieri 10.3390/en14144169
34. Can reanalysis products outperform mesoscale numerical weather prediction models in modeling the wind resource in simple terrain? V. Pronk et al. 10.5194/wes-7-487-2022
35. Evaluation of orography and roughness model inputs and deep neural network regression for wind speed predictions M. Gross et al. 10.1002/we.2782
36. Microscale simulations of extreme events in complex terrain driven by mesoscalar budget components M. Avila et al. 10.1088/1742-6596/2265/2/022021
37. Large-Scale Coherent Turbulence Structures in the Atmospheric Boundary Layer over Flat Terrain L. Alcayaga et al. 10.1175/JAS-D-21-0083.1
38. Applicability of WorldCover in Wind Power Engineering: Application Research of Coupled Wake Model Based on Practical Project J. Zhang et al. 10.3390/en16052193
39. Vertical extrapolation of Advanced Scatterometer (ASCAT) ocean surface winds using machine-learning techniques D. Hatfield et al. 10.5194/wes-8-621-2023
40. Validating the next generation of turbine interaction models T. Levick et al. 10.1088/1742-6596/2257/1/012010
41. A global assessment of extreme wind speeds for wind energy applications S. Pryor & R. Barthelmie 10.1038/s41560-020-00773-7
42. NORA3-WP: A high-resolution offshore wind power dataset for the Baltic, North, Norwegian, and Barents Seas I. Solbrekke & A. Sorteberg 10.1038/s41597-022-01451-x
43. Wind Energy Assessment for Renewable Energy Communities S. Araveti et al. 10.3390/wind2020018
44. Evaluating the mesoscale spatio-temporal variability in simulated wind speed time series over northern Europe G. Luzia et al. 10.5194/wes-7-2255-2022
45. Downscaling ERA5 wind speed data: a machine learning approach considering topographic influences W. Hu et al. 10.1088/1748-9326/aceb0a
46. Simulating wake losses of the Danish Energy Island wind farm cluster M. van der Laan et al. 10.1088/1742-6596/2505/1/012015
47. An assessment of high-resolution wind speeds downscaled with the Weather Research and Forecasting Model for coastal areas in Ghana D. Dzebre et al. 10.1016/j.heliyon.2021.e07768
48. Sensitivity of Wake Modelling Setups L. Kemme et al. 10.1088/1742-6596/2265/2/022007
49. A stochastic simulation scheme for the long-term persistence, heavy-tailed and double periodic behavior of observational and reanalysis wind time-series L. Katikas et al. 10.1016/j.apenergy.2021.116873
50. The Alaiz experiment: untangling multi-scale stratified flows over complex terrain P. Santos et al. 10.5194/wes-5-1793-2020
51. A new E‐OBS gridded dataset for daily mean wind speed over Europe J. de Baar et al. 10.1002/joc.8191
52. Validating EURO-CORDEX climate simulations for modelling European wind power generation G. Luzia et al. 10.1016/j.renene.2023.118989
53. Which Reanalysis Dataset Should We Use for Renewable Energy Analysis in Ireland? E. Doddy Clarke et al. 10.3390/atmos12050624
54. Evaluation of low-level jets in the southern Baltic Sea: a comparison between ship-based lidar observational data and numerical models H. Rubio et al. 10.5194/wes-7-2433-2022
55. How do NEWA and ERA5 compare for assessing offshore wind resources and wind farm siting conditions? P. Meyer & J. Gottschall 10.1088/1742-6596/2151/1/012009
56. Recalibration of a wind atlas using local wind measurements T. Duc et al. 10.1088/1742-6596/2265/2/022051
57. Future projections of wind energy potentials in the arctic for the 21st century under the RCP8.5 scenario from regional climate models (Arctic-CORDEX) M. Akperov et al. 10.1016/j.ancene.2023.100402
58. Wind Simulations over Western Patagonia Using the Weather Research and Forecasting model and Reanalysis H. Vásquez Anacona et al. 10.3390/atmos14071062
59. The WRF model and the diurnal cycle of orographically-influenced flow: A case study T. Sile & A. Hahmann 10.1088/1742-6596/2265/2/022023
60. A workflow for including atmospheric stability effects in wind resource and yield assessment and its evaluation against wind measurements and SCADA M. Diallo et al. 10.1088/1742-6596/2507/1/012018
61. Wind Energy and the Energy Transition: Challenges and Opportunities for Mexico V. Magar et al. 10.3390/su15065496
62. Surface wind over Europe: Data and variability C. Rojas‐Labanda et al. 10.1002/joc.7739
63. High-resolution large-scale onshore wind energy assessments: A review of potential definitions, methodologies and future research needs R. McKenna et al. 10.1016/j.renene.2021.10.027
64. Offshore wind farm cluster wakes as observed by long-range-scanning wind lidar measurements and mesoscale modeling B. Cañadillas et al. 10.5194/wes-7-1241-2022
65. Analysis of Some Major Limitations of Analytical Top-Down Wind-Farm Models S. Emeis 10.1007/s10546-021-00684-4
66. Long-term uncertainty quantification in WRF-modeled offshore wind resource off the US Atlantic coast N. Bodini et al. 10.5194/wes-8-607-2023
67. A Multi-Point Meso–Micro Downscaling Method Including Atmospheric Stratification R. Buhr et al. 10.3390/en14041191
68. Looking for an Offshore Low-Level Jet Champion among Recent Reanalyses: A Tight Race over the Baltic Sea C. Hallgren et al. 10.3390/en13143670
69. Validation of Meso-Wake Models for Array Efficiency Prediction Using Operational Data from Five Offshore Wind Farms J. Rodrigo et al. 10.1088/1742-6596/1618/6/062044