Articles | Volume 5, issue 3
https://doi.org/10.5194/wes-5-1191-2020
© 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-5-1191-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
17 Sep 2020
Review article |
| 17 Sep 2020
| 17 Sep 2020
US East Coast synthetic aperture radar wind atlas for offshore wind energy
Tobias Ahsbahs
DTU Wind Energy, Risø, Roskilde, Denmark
Galen Maclaurin
National Renewable Energy Laboratory, Golden, Colorado, USA
Caroline Draxl
National Renewable Energy Laboratory, Golden, Colorado, USA
Christopher R. Jackson
Global Ocean Associates, Alexandria, Virginia, USA
Frank Monaldo
Applied Physics Laboratory, Johns Hopkins University, Baltimore,
Maryland, USA
DTU Wind Energy, Risø, Roskilde, Denmark
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Total article views: 3,235 (including HTML, PDF, and XML)
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Cited
22 citations as recorded by crossref.
- Wind Retrieval from Constellations of Small SAR Satellites: Potential for Offshore Wind Resource Assessment M. Badger et al.
- Sentinel-1 for offshore wind energy application C. Hasager & K. Dimitriadou
- New methods to improve the vertical extrapolation of near-surface offshore wind speeds M. Optis et al.
- Characterizing the Atmospheric Boundary Layer for Offshore Wind Energy Using Synthetic Aperture Radar Imagery J. Stopa et al.
- Wind power production from very large offshore wind farms S. Pryor et al.
- Power Production, Inter- and Intra-Array Wake Losses from the U.S. East Coast Offshore Wind Energy Lease Areas S. Pryor & R. Barthelmie
- High-resolution satellite observations to account for coastal gradient in wind resource assessment: application to French coastal areas M. Cathelain et al.
- Ship-based lidar measurements for validating ASCAT-derived and ERA5 offshore wind profiles H. Rubio et al.
- Evaluation of SAR-Based Sea State Parameters and Roughness Length Derivation Over the Coastal Seas of the USA A. Owda et al.
- Gap-Filling Sentinel-1 Offshore Wind Speed Image Time Series Using Multiple-Point Geostatistical Simulation and Reanalysis Data S. Hadjipetrou et al.
- Characterizing Coastal Wind Speed and Significant Wave Height Using Satellite Altimetry and Buoy Data P. Mitsopoulos & M. Peña
- Multimodal learning–based reconstruction of high-resolution spatial wind speed fields M. Zambra et al.
- Extreme Wind and Waves in U.S. East Coast Offshore Wind Energy Lease Areas R. Barthelmie et al.
- Modeling Annual Electricity Production and Levelized Cost of Energy from the US East Coast Offshore Wind Energy Lease Areas R. Barthelmie et al.
- Novel Series-Isolated-Parallel Wind Farm DC Collection System With New Control Strategies Y. Abdelaziz & K. Ahmed
- Study of Coastal Effects Relevant for Offshore Wind Energy Using Spaceborne Synthetic Aperture Radar (SAR) B. Djath et al.
- A Mediterranean Sea Offshore Wind classification using MERRA-2 and machine learning models M. Majidi Nezhad et al.
- High-Resolution Wind Speed Estimates for the Eastern Mediterranean Basin: A Statistical Comparison Against Coastal Meteorological Observations S. Hadjipetrou & P. Kyriakidis
- Occurrence of Low-Level Jets over the Eastern U.S. Coastal Zone at Heights Relevant to Wind Energy J. Aird et al.
- 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.
- Wind shadows impact planning of large offshore wind farms S. Pryor & R. Barthelmie
- Improving SAR wind retrieval through automatic anomalous pixel detection A. Owda et al.
22 citations as recorded by crossref.
- Wind Retrieval from Constellations of Small SAR Satellites: Potential for Offshore Wind Resource Assessment M. Badger et al.
- Sentinel-1 for offshore wind energy application C. Hasager & K. Dimitriadou
- New methods to improve the vertical extrapolation of near-surface offshore wind speeds M. Optis et al.
- Characterizing the Atmospheric Boundary Layer for Offshore Wind Energy Using Synthetic Aperture Radar Imagery J. Stopa et al.
- Wind power production from very large offshore wind farms S. Pryor et al.
- Power Production, Inter- and Intra-Array Wake Losses from the U.S. East Coast Offshore Wind Energy Lease Areas S. Pryor & R. Barthelmie
- High-resolution satellite observations to account for coastal gradient in wind resource assessment: application to French coastal areas M. Cathelain et al.
- Ship-based lidar measurements for validating ASCAT-derived and ERA5 offshore wind profiles H. Rubio et al.
- Evaluation of SAR-Based Sea State Parameters and Roughness Length Derivation Over the Coastal Seas of the USA A. Owda et al.
- Gap-Filling Sentinel-1 Offshore Wind Speed Image Time Series Using Multiple-Point Geostatistical Simulation and Reanalysis Data S. Hadjipetrou et al.
- Characterizing Coastal Wind Speed and Significant Wave Height Using Satellite Altimetry and Buoy Data P. Mitsopoulos & M. Peña
- Multimodal learning–based reconstruction of high-resolution spatial wind speed fields M. Zambra et al.
- Extreme Wind and Waves in U.S. East Coast Offshore Wind Energy Lease Areas R. Barthelmie et al.
- Modeling Annual Electricity Production and Levelized Cost of Energy from the US East Coast Offshore Wind Energy Lease Areas R. Barthelmie et al.
- Novel Series-Isolated-Parallel Wind Farm DC Collection System With New Control Strategies Y. Abdelaziz & K. Ahmed
- Study of Coastal Effects Relevant for Offshore Wind Energy Using Spaceborne Synthetic Aperture Radar (SAR) B. Djath et al.
- A Mediterranean Sea Offshore Wind classification using MERRA-2 and machine learning models M. Majidi Nezhad et al.
- High-Resolution Wind Speed Estimates for the Eastern Mediterranean Basin: A Statistical Comparison Against Coastal Meteorological Observations S. Hadjipetrou & P. Kyriakidis
- Occurrence of Low-Level Jets over the Eastern U.S. Coastal Zone at Heights Relevant to Wind Energy J. Aird et al.
- 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.
- Wind shadows impact planning of large offshore wind farms S. Pryor & R. Barthelmie
- Improving SAR wind retrieval through automatic anomalous pixel detection A. Owda et al.
Saved (final revised paper)
Latest update: 11 May 2026
Short summary
Before constructing wind farms we need to know how much energy they will produce. This requires knowledge of long-term wind conditions from either measurements or models. At the US East Coast there are few wind measurements and little experience with offshore wind farms. Therefore, we created a satellite-based high-resolution wind resource map to quantify spatial variations in the wind conditions over potential sites for wind farms and found larger variation than modelling suggested.
Before constructing wind farms we need to know how much energy they will produce. This requires...
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