Articles | Volume 5, issue 1
https://doi.org/10.5194/wes-5-375-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-5-375-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Europe's offshore winds assessed with synthetic aperture radar, ASCAT and WRF
Department of Wind Energy, Technical University of Denmark,
Frederiksborgvej 399, 4000 Roskilde, Denmark
Andrea N. Hahmann
Department of Wind Energy, Technical University of Denmark,
Frederiksborgvej 399, 4000 Roskilde, Denmark
Tobias Ahsbahs
Department of Wind Energy, Technical University of Denmark,
Frederiksborgvej 399, 4000 Roskilde, Denmark
Ioanna Karagali
Department of Wind Energy, Technical University of Denmark,
Frederiksborgvej 399, 4000 Roskilde, Denmark
Tija Sile
Department of Physics, University of Latvia, Jelgavas iela 3, Riga,
1004, Latvia
Merete Badger
Department of Wind Energy, Technical University of Denmark,
Frederiksborgvej 399, 4000 Roskilde, Denmark
Jakob Mann
Department of Wind Energy, Technical University of Denmark,
Frederiksborgvej 399, 4000 Roskilde, Denmark
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- Wind Speed Variation Mapped Using SAR before and after Commissioning of Offshore Wind Farms A. Owda & M. Badger 10.3390/rs14061464
- High-resolution offshore wind resource assessment at turbine hub height with Sentinel-1 synthetic aperture radar (SAR) data and machine learning L. de Montera et al. 10.5194/wes-7-1441-2022
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- Wind resource assessment over the Persian Gulf and Oman Sea using a numerical model simulation and satellite data P. Ghafarian & M. Mohammadpour Penchah 10.1007/s40722-022-00273-8
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- Improving SAR wind retrieval through automatic anomalous pixel detection A. Owda et al. 10.1016/j.jag.2023.103444
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21 citations as recorded by crossref.
- 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
- New methods to improve the vertical extrapolation of near-surface offshore wind speeds M. Optis et al. 10.5194/wes-6-935-2021
- An investigation of spatial wind direction variability and its consideration in engineering models A. von Brandis et al. 10.5194/wes-8-589-2023
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- Numerical Investigations of Precise Wind Field in Main Landing Area during the Landing Phase of “Shen Zhou” Series Spacecraft Mission Y. Song et al. 10.3390/aerospace10010037
- Validation of the wind climatology from the ALARO-0 model at different resolutions over Ethiopia P. Enday et al. 10.1007/s00704-023-04786-6
- Wind Retrieval from Constellations of Small SAR Satellites: Potential for Offshore Wind Resource Assessment M. Badger et al. 10.3390/en16093819
- High Wind Speed Inversion Model of CYGNSS Sea Surface Data Based on Machine Learning Y. Zhang et al. 10.3390/rs13163324
- Comparing Offshore Ferry Lidar Measurements in the Southern Baltic Sea with ASCAT, FINO2 and WRF D. Hatfield et al. 10.3390/rs14061427
- The Making of the New European Wind Atlas – Part 2: Production and evaluation M. Dörenkämper et al. 10.5194/gmd-13-5079-2020
- Wind Speed Variation Mapped Using SAR before and after Commissioning of Offshore Wind Farms A. Owda & M. Badger 10.3390/rs14061464
- High-resolution offshore wind resource assessment at turbine hub height with Sentinel-1 synthetic aperture radar (SAR) data and machine learning L. de Montera et al. 10.5194/wes-7-1441-2022
- SAR and ASCAT Tropical Cyclone Wind Speed Reconciliation W. Ni et al. 10.3390/rs14215535
- Wind resource assessment over the Persian Gulf and Oman Sea using a numerical model simulation and satellite data P. Ghafarian & M. Mohammadpour Penchah 10.1007/s40722-022-00273-8
- High-resolution satellite observations to account for coastal gradient in wind resource assessment: application to French coastal areas M. Cathelain et al. 10.1088/1742-6596/2505/1/012027
- Improving SAR wind retrieval through automatic anomalous pixel detection A. Owda et al. 10.1016/j.jag.2023.103444
- Mesoscale weather systems and associated potential wind power variations in a midlatitude sea strait (Kattegat) J. Neirynck et al. 10.5194/wes-9-1695-2024
- Integrated assessment of offshore wind power potential using Weather Research and Forecast (WRF) downscaling with Sentinel-1 satellite imagery, optimal sites, annual energy production and equivalent CO2 reduction S. Tuy et al. 10.1016/j.rser.2022.112501
- Offshore wind power plant site selection in the Baltic Sea M. Barzehkar et al. 10.1016/j.rsma.2024.103469
- Vertical extrapolation of Advanced Scatterometer (ASCAT) ocean surface winds using machine-learning techniques D. Hatfield et al. 10.5194/wes-8-621-2023
- Spatial biases revealed by LiDAR in a multiphysics WRF ensemble designed for offshore wind J. Sward et al. 10.1016/j.energy.2022.125346
1 citations as recorded by crossref.
Latest update: 20 Nov 2024
Short summary
Europe's offshore wind resource mapping is part of the New European Wind Atlas (NEWA) international consortium effort. This study presents the results of analysis of synthetic aperture radar (SAR) ocean wind maps based on Envisat and Sentinel-1 with a brief description of the wind retrieval process and Advanced Scatterometer (ASCAT) ocean wind maps. Furthermore, the Weather Research and Forecasting (WRF) offshore wind atlas of NEWA is presented.
Europe's offshore wind resource mapping is part of the New European Wind Atlas (NEWA)...
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