33 citations as recorded by crossref.

1. Eutrophication hotspots, nitrogen fluxes and climate impacts in estuarine ecosystems: A model study of the Odra estuary system J. Pein & J. Staneva https://doi.org/10.1007/s10236-024-01607-w
2. Climate services in support of the German energy transition: Examples that make a difference F. Kaspar et al. https://doi.org/10.1016/j.jemets.2026.100036
3. Evaluation of wind speed estimates in reanalyses for wind energy applications S. Brune et al. https://doi.org/10.5194/asr-18-115-2021
4. A framework for regional smart energy planning using volunteered geographic information J. Valdes et al. https://doi.org/10.5194/adgeo-54-179-2020
5. Contributions to the Improvement of Climate Data Availability and Quality for Sub-Saharan Africa F. Kaspar et al. https://doi.org/10.3389/fclim.2021.815043
6. Model-based assessment of sustainable adaptation options for an industrialised meso‑tidal estuary J. Pein et al. https://doi.org/10.1016/j.ocemod.2024.102467
7. Surface wind over Europe: Data and variability C. Rojas‐Labanda et al. https://doi.org/10.1002/joc.7739
8. FAIR: a project to realize a user-friendly exchange of open weather data C. Frank et al. https://doi.org/10.5194/asr-17-183-2020
9. 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
10. Downscaling and Evaluation of Seasonal Climate Data for the European Power Sector J. Ostermöller et al. https://doi.org/10.3390/atmos12030304
11. The Role of Turbulence in Fueling the Subsurface Chlorophyll Maximum in Tidally Dominated Shelf Seas J. Becherer et al. https://doi.org/10.1029/2022JC018561
12. 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
13. Ensemble Machine Learning greatly improves ERA5 skills for wind energy applications M. Cavaiola et al. https://doi.org/10.1016/j.egyai.2023.100269
14. Value of the Copernicus Arctic Regional Reanalysis (CARRA) in representing near-surface temperature and wind speed in the north-east European Arctic M. Køltzow et al. https://doi.org/10.33265/polar.v41.8002
15. Turbine location-aware multi-decadal wind power predictions for Germany using CMIP6 N. Effenberger & N. Ludwig https://doi.org/10.1017/eds.2025.10018
16. A climatology of weather-driven anomalies in European photovoltaic and wind power production L. Ho-Tran & S. Fiedler https://doi.org/10.1038/s43247-024-01224-x
17. Overcoming the disconnect between energy system and climate modeling M. Craig et al. https://doi.org/10.1016/j.joule.2022.05.010
18. 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
19. Nature-based solutions: leveraging the coastal protective potential of seagrass in the Jade Bay region L. Villa Castrillón et al. https://doi.org/10.1016/j.nbsj.2025.100255
20. 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
21. Comparison of ERA5 surface wind speed climatologies over Europe with observations from the HadISD dataset M. Molina et al. https://doi.org/10.1002/joc.7103
22. 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
23. Decadal assessment of local climate utilizing meteorological analysis and observation data: Thermal environment changes in the Tokyo area X. Wang et al. https://doi.org/10.1016/j.scs.2025.106138
24. Benchmarking clear sky and transposition models for solar irradiance estimation on vertical planes to facilitate glazed facade design D. Paul et al. https://doi.org/10.1016/j.enbuild.2021.111622
25. Climatological analysis of solar and wind energy in Germany using the Grosswetterlagen classification J. Drücke et al. https://doi.org/10.1016/j.renene.2020.10.102
26. Improved quality gridded surface wind speed datasets for Australia H. Zhang et al. https://doi.org/10.1007/s00703-022-00925-2
27. Regional winds over the Iberian Peninsula (Cierzo, Levante and Poniente) from high‐resolution COSMO‐REA6 reanalysis M. Ortega et al. https://doi.org/10.1002/joc.7860
28. A first assessment of ERA5 and ERA5‐Land reanalysis air temperature in Portugal M. Almeida & P. Coelho https://doi.org/10.1002/joc.8225
29. Natural hazards and extreme events in the Baltic Sea region A. Rutgersson et al. https://doi.org/10.5194/esd-13-251-2022
30. Effectiveness of estuarine adaptation strategies under future climate conditions J. Pein & J. Staneva https://doi.org/10.1038/s41598-026-43040-7
31. 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
32. Climate data selection for multi-decadal wind power forecasts S. Morelli et al. https://doi.org/10.1088/1748-9326/adc01f
33. 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