143 citations as recorded by crossref.

1. Understanding and mitigating the impact of data gaps on offshore wind resource estimates J. Gottschall & M. Dörenkämper https://doi.org/10.5194/wes-6-505-2021
2. Need For Speed: Fast Wind Farm Optimization M. Sarcos et al. https://doi.org/10.1088/1742-6596/2767/9/092088
3. Evaluation of ERA5, ERA5-Land, CERRA and NEWA datasets in reproducing observed near-surface wind speeds across Spain N. PLAZA-MARTIN et al. https://doi.org/10.1016/j.accre.2026.04.011
4. Satellite-based estimation of roughness lengths and displacement heights for wind resource modelling R. Floors et al. https://doi.org/10.5194/wes-6-1379-2021
5. Departure from Flux-Gradient Relation in the Planetary Boundary Layer P. Santos et al. https://doi.org/10.3390/atmos12060672
6. Machine learning for predicting offshore vertical wind profiles F. Rouholahnejad et al. https://doi.org/10.1088/1742-6596/2626/1/012023
7. Scaling effects of fixed-wing ground-generation airborne wind energy systems M. Sommerfeld et al. https://doi.org/10.5194/wes-7-1847-2022
8. Shifting winds: How climate change impacts low wind days and wind resources over the Baltic Sea I. Isik-Cetin et al. https://doi.org/10.1016/j.jemets.2025.100030
9. An investigation of spatial wind direction variability and its consideration in engineering models A. von Brandis et al. https://doi.org/10.5194/wes-8-589-2023
10. Impact of wind profiles on ground-generation airborne wind energy system performance M. Sommerfeld et al. https://doi.org/10.5194/wes-8-1153-2023
11. Optimizing the layout of floating wind farms in Crete: A combined LCOE and visual impact minimization N. Tsarknias et al. https://doi.org/10.1016/j.energy.2025.138645
12. Genotypic and Silvicultural Controls on Wind Damage, Failure Mode, and Productivity in a Radiata Pine Trial Following Cyclone Gabrielle M. Watt et al. https://doi.org/10.3390/f17020269
13. Numerical Weather Modelling and Large Eddy Simulations of Strong-Wind Events in Coastal Mountainous Terrain Y. Birkelund https://doi.org/10.3390/app15147683
14. Quality of wind characteristics in recent wind atlases over the North Sea P. Kalverla et al. https://doi.org/10.1002/qj.3748
15. Quantifying sensitivity in numerical weather prediction‐modeled offshore wind speeds through an ensemble modeling approach M. Optis et al. https://doi.org/10.1002/we.2611
16. Fully Automated Wind Site Assessment in Complex Terrain Using Satellite Data and Global Circulation Models A. Horvath et al. https://doi.org/10.3390/rs18091403
17. Generating long-term sub-hourly wind speed time series by coupling mesoscale models with full-scale spectra D. Schillebeeckx & G. Leroy https://doi.org/10.1088/1742-6596/2151/1/012003
18. Unfrozen Skewed Turbulence for Wind Loading on Structures E. Cheynet et al. https://doi.org/10.3390/app12199537
19. Hybrid use of an observer-based minute-scale power forecast and persistence F. Theuer et al. https://doi.org/10.1088/1742-6596/2265/2/022047
20. Assessment of Coastal Winds in Iceland Using Sentinel-1, Reanalysis, and MET Observations E. Khachatrian et al. https://doi.org/10.3390/app151910472
21. Beyond the First Generation of Wind Modeling for Resource Assessment and Siting: From Meteorology to Uncertainty Quantification M. Kelly https://doi.org/10.3390/en18071589
22. Determining the ideal length of wind speed series for wind speed distribution and resource assessment L. Zhou & I. Esau https://doi.org/10.5194/wes-11-217-2026
23. Green energy estimation using remote sensing techniques: A comprehensive review of methods, applications, and future directions A. Sonare et al. https://doi.org/10.1016/j.egyr.2026.109354
24. The 2023 National Offshore Wind data set (NOW-23) N. Bodini et al. https://doi.org/10.5194/essd-16-1965-2024
25. The 3 km Norwegian reanalysis (NORA3) – a validation of offshore wind resources in the North Sea and the Norwegian Sea I. Solbrekke et al. https://doi.org/10.5194/wes-6-1501-2021
26. Evaluation of a Database of the Spanish Wind Energy Resources Derived from a Regional Reanalysis A. Jiménez-Garrote et al. https://doi.org/10.3390/en17071523
27. Can reanalysis products outperform mesoscale numerical weather prediction models in modeling the wind resource in simple terrain? V. Pronk et al. https://doi.org/10.5194/wes-7-487-2022
28. Microscale simulations of extreme events in complex terrain driven by mesoscalar budget components M. Avila et al. https://doi.org/10.1088/1742-6596/2265/2/022021
29. Large-Scale Coherent Turbulence Structures in the Atmospheric Boundary Layer over Flat Terrain L. Alcayaga et al. https://doi.org/10.1175/JAS-D-21-0083.1
30. High-Resolution Wind Speed Estimates for the Eastern Mediterranean Basin: A Statistical Comparison Against Coastal Meteorological Observations S. Hadjipetrou & P. Kyriakidis https://doi.org/10.3390/wind4040016
31. Vertical extrapolation of Advanced Scatterometer (ASCAT) ocean surface winds using machine-learning techniques D. Hatfield et al. https://doi.org/10.5194/wes-8-621-2023
32. A global assessment of extreme wind speeds for wind energy applications S. Pryor & R. Barthelmie https://doi.org/10.1038/s41560-020-00773-7
33. Real time optimization in wind farms with priorities and chance constraints S. Martínez-Gutiérrez et al. https://doi.org/10.1016/j.apenergy.2025.126634
34. NORA3-WP: A high-resolution offshore wind power dataset for the Baltic, North, Norwegian, and Barents Seas I. Solbrekke & A. Sorteberg https://doi.org/10.1038/s41597-022-01451-x
35. A Model Downscaling Study of Wind Park Exposure to Extreme Weather: The Case of Storm “Ylva” in Arctic Norway I. Esau et al. https://doi.org/10.3390/wind6010006
36. Reviewing accuracy & reproducibility of large-scale wind resource assessments T. Pelser et al. https://doi.org/10.1016/j.adapen.2023.100158
37. A perspective on lessons learned and future needs for wind energy field campaigns N. Bodini et al. https://doi.org/10.1063/5.0252362
38. 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
39. Long-term variations in sea ice extent can influence trends in maximum sea level in the northeastern Baltic Sea Ü. Suursaar et al. https://doi.org/10.1016/j.csr.2025.105451
40. A Systematic Evaluation of the New European Wind Atlas and the Copernicus European Regional Reanalysis Wind Datasets in the Mediterranean Sea T. Soukissian et al. https://doi.org/10.3390/jmse13081445
41. The impact of Climate Change on extreme winds over northern Europe according to CMIP6 X. Larsén et al. https://doi.org/10.3389/fenrg.2024.1404791
42. The Value of Sentinel-1 Ocean Wind Fields Component for the Study of Polar Lows E. Khachatrian & P. Asemann https://doi.org/10.3390/rs16203755
43. Assessing renewable wind and solar energy yield with gridded climate datasets P. Drobinski https://doi.org/10.1038/s44168-025-00332-4
44. Sensitivity of Wake Modelling Setups L. Kemme et al. https://doi.org/10.1088/1742-6596/2265/2/022007
45. Observational and numerical study of the combined effect of slope winds and sea breezes in the North-East coast of Spain S. Arias et al. https://doi.org/10.1016/j.jweia.2026.106495
46. The Alaiz experiment: untangling multi-scale stratified flows over complex terrain P. Santos et al. https://doi.org/10.5194/wes-5-1793-2020
47. Relevance Of ERA5 Reanalysis For Wind Energy Applications: Comparison With Sodar Observations A. Shestakova et al. https://doi.org/10.24057/2071-9388-2023-2782
48. More Wind, Falling Efficiency: The Driving Factors of German Onshore Wind Power Generation Y. Janal et al. https://doi.org/10.1002/we.70013
49. 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
50. Exploring future production scenarios for Italian offshore wind power D. Medici et al. https://doi.org/10.5194/wes-11-723-2026
51. Evaluating the impact of inter-annual variability on long-term wind speed predictions J. Borowski et al. https://doi.org/10.5194/wes-11-661-2026
52. High-resolution working layouts and time series for renewable energy generation in Europe O. Grothe et al. https://doi.org/10.1016/j.renene.2024.121967
53. A new global high-resolution wave model for the tropical ocean using WAVEWATCH III version 7.14 A. Gaffet et al. https://doi.org/10.5194/gmd-18-1929-2025
54. Copula-based joint distributions of rain and wind for leading edge erosion risk atlas J. Visbech et al. https://doi.org/10.1016/j.renene.2025.123358
55. A weather-driven surrogate model for mesoscale wake reconstruction in long-term time series N. Alonso-de-Linaje et al. https://doi.org/10.1088/1742-6596/3224/3/032078
56. The WRF model and the diurnal cycle of orographically-influenced flow: A case study T. Sile & A. Hahmann https://doi.org/10.1088/1742-6596/2265/2/022023
57. Improvements in wind power prediction from locational wind speed estimates: a critical analysis M. Puica https://doi.org/10.1007/s12667-026-00779-2
58. Wind Energy and the Energy Transition: Challenges and Opportunities for Mexico V. Magar et al. https://doi.org/10.3390/su15065496
59. Precipitation Conditions in Offshore Wind Farm Zones: Insights from Satellites and Weather Simulations T. Ivanova et al. https://doi.org/10.1088/1742-6596/3131/1/012005
60. Offshore wind farm cluster wakes as observed by long-range-scanning wind lidar measurements and mesoscale modeling B. Cañadillas et al. https://doi.org/10.5194/wes-7-1241-2022
61. Long-term uncertainty quantification in WRF-modeled offshore wind resource off the US Atlantic coast N. Bodini et al. https://doi.org/10.5194/wes-8-607-2023
62. A Multi-Point Meso–Micro Downscaling Method Including Atmospheric Stratification R. Buhr et al. https://doi.org/10.3390/en14041191
63. Mesoscale weather systems and associated potential wind power variations in a midlatitude sea strait (Kattegat) J. Neirynck et al. https://doi.org/10.5194/wes-9-1695-2024
64. FOXES: Farm Optimization and eXtended yield Evaluation Software J. Schmidt et al. https://doi.org/10.21105/joss.05464
65. Atlantic lowland forests face shifts in composition and structure under climatic change I. Storms et al. https://doi.org/10.1007/s10113-025-02393-x
66. AI-Based Mapping of Offshore Wind Energy Around the Korean Peninsula Using Sentinel-1 SAR and Numerical Weather Prediction Data J. Joh et al. https://doi.org/10.3390/en18236252
67. Norwegian offshore wind power—Spatial planning using multi‐criteria decision analysis I. Solbrekke & A. Sorteberg https://doi.org/10.1002/we.2871
68. Changes in Great Plains Low‐Level Jet Structure and Associated Precipitation Over the 20th Century C. Ferguson https://doi.org/10.1029/2021JD035859
69. The ALEX17 diurnal cycles in complex terrain benchmark J. Sanz Rodrigo et al. https://doi.org/10.1088/1742-6596/1934/1/012002
70. Understanding the impact of data gaps on long-term offshore wind resource estimates M. Jonietz Alvarez et al. https://doi.org/10.5194/wes-9-2217-2024
71. Estimating high-resolution profiles of wind speeds from a global reanalysis dataset using TabNet H. Baki & S. Basu https://doi.org/10.1017/eds.2024.41
72. A one-year long turbulence simulation using a WRF-LES based modeling system at Østerild A. Peña et al. https://doi.org/10.1088/1742-6596/2265/2/022011
73. A one-year comparison of new wind atlases over the North Sea E. Cheynet et al. https://doi.org/10.1088/1742-6596/2362/1/012009
74. Outlook for Offshore Wind Energy Development in Mexico from WRF Simulations and CMIP6 Projections J. Meza-Carreto et al. https://doi.org/10.3390/en17081866
75. Quality assessment of the GPM IMERG product for lifetime prediction of turbine blades in complex terrain K. Dimitriadou et al. https://doi.org/10.1088/1742-6596/2767/4/042010
76. A novel method for modeling renewable power production using ERA5: Spanish wind energy A. Jiménez-Garrote et al. https://doi.org/10.1016/j.seta.2025.104397
77. Improving wind and power predictions via four-dimensional data assimilation in the WRF model: case study of storms in February 2022 at Belgian offshore wind farms T. Ivanova et al. https://doi.org/10.5194/wes-10-245-2025
78. Wind and solar energy droughts: Potential impacts on energy system dynamics and research needs J. Wilczak et al. https://doi.org/10.1063/5.0253058
79. A new RANS-based wind farm parameterization and inflow model for wind farm cluster modeling M. van der Laan et al. https://doi.org/10.5194/wes-8-819-2023
80. Optimization and Evaluation of the Weather Research and Forecasting (WRF) Model for Wind Energy Resource Assessment and Mapping in Iran A. Saadatabadi et al. https://doi.org/10.3390/app14083304
81. Evaluation of two mesoscale wind farm parametrisations with offshore tall masts O. Garcia-Santiago et al. https://doi.org/10.1088/1742-6596/2265/2/022038
82. Spatiotemporal variations of 100 m wind in Mongolia and implications for wind energy resources S. Hong et al. https://doi.org/10.1002/joc.8037
83. The making of the New European Wind Atlas – Part 1: Model sensitivity A. Hahmann et al. https://doi.org/10.5194/gmd-13-5053-2020
84. Enabling Virtual Met Masts for wind energy applications through machine learning-methods S. Schwegmann et al. https://doi.org/10.1016/j.egyai.2022.100209
85. 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
86. Comparing and validating intra-farm and farm-to-farm wakes across different mesoscale and high-resolution wake models J. Fischereit et al. https://doi.org/10.5194/wes-7-1069-2022
87. 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. https://doi.org/10.3390/en14217434
88. Leveraging machine learning with reanalysis stability information to improve wind shear assessment with CFD M. Wirth et al. https://doi.org/10.1088/1742-6596/3224/2/022036
89. Intense windstorms in the northeastern United States F. Letson et al. https://doi.org/10.5194/nhess-21-2001-2021
90. Validation of European-scale simulated wind speed and wind generation time series J. Murcia et al. https://doi.org/10.1016/j.apenergy.2021.117794
91. Impact of soil moisture content on urban tree evaporative cooling and human thermal comfort L. Gobatti et al. https://doi.org/10.1038/s42949-025-00220-0
92. 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 https://doi.org/10.3390/en14040802
93. Rain erosion atlas for wind turbine blades based on ERA5 and NORA3 for Scandinavia Á. Hannesdóttir et al. https://doi.org/10.1016/j.rineng.2024.102010
94. Low-level jets in the North and Baltic seas: mesoscale model sensitivity and climatology using WRF V4.2.1 B. Olsen et al. https://doi.org/10.5194/gmd-18-4499-2025
95. The impact of far-reaching offshore cluster wakes on wind turbine fatigue loads A. Anantharaman et al. https://doi.org/10.5194/wes-10-1849-2025
96. Performance of the ForestGALES Model in Predicting Wind Damage Patterns in a New Zealand Radiata Pine Trial Following Cyclone Gabrielle K. Halstead et al. https://doi.org/10.3390/f17050527
97. Current and future wind energy resources in the North Sea according to CMIP6 A. Hahmann et al. https://doi.org/10.5194/wes-7-2373-2022
98. Modelling global offshore turbulence intensity including large-scale turbulence, stability and sea state X. Larsén et al. https://doi.org/10.5194/wes-11-1853-2026
99. Grand challenges in the digitalisation of wind energy A. Clifton et al. https://doi.org/10.5194/wes-8-947-2023
100. Reliability of ERA5 Reanalysis Data for Wind Resource Assessment: A Comparison against Tall Towers G. Gualtieri https://doi.org/10.3390/en14144169
101. A New Approach to Estimate the Parameters of the Joint Distribution of the Wind Speed and the Wind Direction, Modelled with the Angular–Linear Model S. Martínez-Gutiérrez et al. https://doi.org/10.3390/math13081238
102. Evaluation of orography and roughness model inputs and deep neural network regression for wind speed predictions M. Gross et al. https://doi.org/10.1002/we.2782
103. Applicability of WorldCover in Wind Power Engineering: Application Research of Coupled Wake Model Based on Practical Project J. Zhang et al. https://doi.org/10.3390/en16052193
104. Validating the next generation of turbine interaction models T. Levick et al. https://doi.org/10.1088/1742-6596/2257/1/012010
105. Evaluation of Engineering Models for Large‐Scale Cluster Wakes With the Help of In Situ Airborne Measurements K. zum Berge et al. https://doi.org/10.1002/we.2942
106. Sector-specific atmospheric stability distributions and seasonal variations: A comparison between NEWA simulations and in-situ meteorological mast measurements F. Tuna et al. https://doi.org/10.1016/j.jweia.2026.106396
107. Modifications to a mesoscale wind farm parameterization enhance high-altitude wind farm simulations under real-world atmospheric conditions R. Chang et al. https://doi.org/10.1016/j.renene.2025.125040
108. Wind Energy Assessment for Renewable Energy Communities S. Araveti et al. https://doi.org/10.3390/wind2020018
109. Evaluating the mesoscale spatio-temporal variability in simulated wind speed time series over northern Europe G. Luzia et al. https://doi.org/10.5194/wes-7-2255-2022
110. Downscaling ERA5 wind speed data: a machine learning approach considering topographic influences W. Hu et al. https://doi.org/10.1088/1748-9326/aceb0a
111. Simulating wake losses of the Danish Energy Island wind farm cluster M. van der Laan et al. https://doi.org/10.1088/1742-6596/2505/1/012015
112. Assessment of convection-permitting hydroclimate modeling in urban areas across the contiguous United States L. Thompson et al. https://doi.org/10.1016/j.uclim.2025.102375
113. An assessment of high-resolution wind speeds downscaled with the Weather Research and Forecasting Model for coastal areas in Ghana D. Dzebre et al. https://doi.org/10.1016/j.heliyon.2021.e07768
114. A Complete CFD Methodology Based on Iterative Model Adjustment to Improve Wind Simulation Accuracy in Highly Dense Forest Area E. Leonard et al. https://doi.org/10.3390/en19092243
115. Low-wind climatology (1979–2018) over Europe from ERA5 reanalysis C. Gutiérrez et al. https://doi.org/10.1007/s00382-024-07123-3
116. One-year-long turbulence measurements and modeling using large-eddy simulation domains in the Weather Research and Forecasting model A. Peña & J. Mirocha https://doi.org/10.1016/j.apenergy.2024.123069
117. Characterization of local wind profiles: a random forest approach for enhanced wind profile extrapolation F. Rouholahnejad & J. Gottschall https://doi.org/10.5194/wes-10-143-2025
118. Towards a regional wind farm planning approach: The Wakeness Index N. Alonso-De-Linaje et al. https://doi.org/10.1088/1742-6596/3016/1/012050
119. Climate error metrics based on Wasserstein distances C. Veiga Rodrigues & I. Odderskov https://doi.org/10.1016/j.apenergy.2025.126392
120. 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. https://doi.org/10.1016/j.apenergy.2021.116873
121. Brief communication: Enhanced representation of the power spectra of wind speed in convection-permitting models N. Correa-Sánchez et al. https://doi.org/10.5194/wes-10-2551-2025
122. 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
123. A new E‐OBS gridded dataset for daily mean wind speed over Europe J. de Baar et al. https://doi.org/10.1002/joc.8191
124. Projected changes in near-surface wind speed in the Arctic by a regional climate model M. Akperov et al. https://doi.org/10.1016/j.polar.2024.101162
125. Offshore low-level jet observations and model representation using lidar buoy data off the California coast L. Sheridan et al. https://doi.org/10.5194/wes-9-741-2024
126. Characterization of summer easterly winds over the inner Iberian Peninsula M. Ortega et al. https://doi.org/10.1016/j.atmosres.2024.107358
127. Validating EURO-CORDEX climate simulations for modelling European wind power generation G. Luzia et al. https://doi.org/10.1016/j.renene.2023.118989
128. Which Reanalysis Dataset Should We Use for Renewable Energy Analysis in Ireland? E. Doddy Clarke et al. https://doi.org/10.3390/atmos12050624
129. 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. https://doi.org/10.5194/wes-7-2433-2022
130. How do NEWA and ERA5 compare for assessing offshore wind resources and wind farm siting conditions? P. Meyer & J. Gottschall https://doi.org/10.1088/1742-6596/2151/1/012009
131. Recalibration of a wind atlas using local wind measurements T. Duc et al. https://doi.org/10.1088/1742-6596/2265/2/022051
132. 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. https://doi.org/10.1016/j.ancene.2023.100402
133. Exploring the Potential of Sentinel-1 Ocean Wind Field Product for Near-Surface Offshore Wind Assessment in the Norwegian Arctic E. Khachatrian et al. https://doi.org/10.3390/atmos15020146
134. 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
135. 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
136. Design and Optimization of the Turkish Green Supergrid: Multi-Commodity Network Planning from Altai to the Danube M. Ökten https://doi.org/10.64808/engineeringperspective.1839385
137. 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. https://doi.org/10.1088/1742-6596/2507/1/012018
138. Coastal Wind in East Iceland Using Sentinel-1 and Model Data Reanalysis E. Khachatrian et al. https://doi.org/10.3390/atmos16080962
139. Surface wind over Europe: Data and variability C. Rojas‐Labanda et al. https://doi.org/10.1002/joc.7739
140. Meteorological drivers of co-occurring renewable energy droughts in Europe B. van Duinen et al. https://doi.org/10.1016/j.rser.2025.115993
141. High-resolution large-scale onshore wind energy assessments: A review of potential definitions, methodologies and future research needs R. McKenna et al. https://doi.org/10.1016/j.renene.2021.10.027
142. Analysis of Some Major Limitations of Analytical Top-Down Wind-Farm Models S. Emeis https://doi.org/10.1007/s10546-021-00684-4
143. Estimación de parámetros en distribuciones de dirección del viento S. Martínez Gutiérrez et al. https://doi.org/10.17979/ja-cea.2024.45.10821